Masoud Alilou | Engineering | Best Researcher Award

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Assist. Prof. Dr. Masoud Alilou | Engineering | Best Researcher Award

Electrical Engineering from Urmia University of Technology, Iran

Dr. Masoud Alilou is a distinguished academic and researcher whose expertise lies at the intersection of biomedical engineering, image processing, and machine learning. Renowned for his pioneering contributions to medical image analysis, Dr. Alilou has played a pivotal role in advancing computational tools for disease detection and diagnosis. His research integrates advanced algorithm development with practical clinical applications, especially in oncology and pulmonary imaging. With a strong publication record in high-impact journals and numerous international collaborations, Dr. Alilou is recognized for his innovative methodologies and interdisciplinary approach. He has also been instrumental in mentoring graduate students and contributing to curriculum development in biomedical engineering and computer science programs. His commitment to translational research has led to the development of automated tools aimed at improving diagnostic accuracy and patient care. Over the years, Dr. Alilou has gained a reputation for excellence in research, teaching, and academic leadership. He is a frequent reviewer for reputed journals and conferences, and his work has been widely cited. Through his dedication to technological innovation and scientific rigor, Dr. Alilou continues to make significant contributions to medical imaging and artificial intelligence in healthcare, solidifying his status as a leader in the academic and scientific communities.

Professional Profile

Education

Dr. Masoud Alilou’s academic journey reflects his deep-rooted commitment to interdisciplinary research and education. He earned his Bachelor’s degree in Computer Engineering, laying a strong foundation in algorithm design, programming, and systems analysis. Driven by a desire to apply computational methods to real-world problems, he pursued a Master’s degree in Biomedical Engineering. During this period, he focused on medical image analysis and machine learning, bridging the gap between engineering and clinical medicine. His master’s research emphasized the development of image processing tools for diagnosing chronic lung diseases, which sparked his long-term interest in healthcare technologies. He later completed his Ph.D. in Biomedical Engineering at Case Western Reserve University, a globally respected institution in the field. His doctoral research concentrated on automated quantitative analysis of medical images using advanced computational models and machine learning techniques. During his Ph.D., Dr. Alilou collaborated closely with radiologists and oncologists, reinforcing the clinical relevance of his work. His interdisciplinary training uniquely positioned him to develop algorithms that are both technically robust and clinically meaningful. Through rigorous coursework, hands-on research, and cross-disciplinary mentorship, Dr. Alilou has built an educational background that combines computational science, engineering, and medicine—an essential blend for cutting-edge biomedical research.

Professional Experience

Dr. Masoud Alilou has amassed an impressive portfolio of professional experience that spans academic research, interdisciplinary collaboration, and technological innovation. Following his doctoral studies, he joined the Quantitative Imaging Laboratory at Case Western Reserve University as a research scientist. In this role, he led and contributed to multiple NIH-funded projects aimed at developing automated tools for lung cancer screening and diagnosis using low-dose CT scans. His work involved close collaboration with clinicians, radiologists, and computer scientists, fostering a rich interdisciplinary environment. Dr. Alilou has also served as a senior researcher and developer on projects integrating artificial intelligence into clinical workflows, focusing on machine learning algorithms for lung nodule detection, segmentation, and classification. His algorithms have been implemented in software solutions used by research hospitals and diagnostic centers, significantly enhancing diagnostic precision and workflow efficiency. In addition to research, Dr. Alilou has mentored graduate students, supervised thesis projects, and contributed to the development of training modules in biomedical imaging and AI. His professional experience also includes serving as a reviewer for numerous peer-reviewed journals, including IEEE Transactions on Medical Imaging and Medical Physics. Through these roles, Dr. Alilou has built a strong reputation as both a scientific innovator and a collaborative leader in the medical imaging community.

Research Interests

Dr. Masoud Alilou’s research interests lie at the convergence of biomedical engineering, medical image analysis, and artificial intelligence. Central to his work is the development of computational techniques for the automated analysis of medical images, particularly in the early detection and characterization of diseases such as lung cancer and chronic obstructive pulmonary disease (COPD). He is deeply interested in low-dose CT imaging and its applications in non-invasive diagnostics, seeking to optimize the accuracy and efficiency of radiological assessments through advanced algorithms. A significant focus of Dr. Alilou’s research is on radiomics—extracting high-dimensional features from medical images to identify patterns correlated with disease outcomes. He is also engaged in developing deep learning models for image classification, segmentation, and prediction of treatment response. His work explores how quantitative image features can be integrated with clinical data to inform precision medicine. Moreover, Dr. Alilou is enthusiastic about translational research, ensuring that the algorithms and tools he develops are applicable in clinical settings. His interdisciplinary projects often involve partnerships with radiologists, oncologists, and biostatisticians. Through his commitment to impactful research, Dr. Alilou continues to push the boundaries of medical imaging, aiming to enhance patient outcomes through innovation and data-driven healthcare solutions.

Research Skills

Dr. Masoud Alilou possesses an exceptional set of research skills that span computational modeling, machine learning, and biomedical image analysis. He is highly proficient in developing and implementing complex algorithms for image processing tasks, including segmentation, registration, and feature extraction. His expertise in computer vision allows him to work with large-scale imaging datasets, transforming raw medical data into meaningful clinical insights. He has extensive experience with deep learning frameworks such as TensorFlow, PyTorch, and Keras, which he uses to design and train neural networks for various diagnostic tasks. Additionally, Dr. Alilou is adept in programming languages such as Python, MATLAB, and C++, enabling him to prototype and optimize algorithms efficiently. His skills in radiomics and statistical analysis allow for the extraction and evaluation of high-dimensional imaging biomarkers, supporting the development of predictive and prognostic models. Dr. Alilou also demonstrates strong skills in interdisciplinary collaboration, integrating domain knowledge from radiology, oncology, and bioinformatics into his research workflows. His rigorous approach to data validation, model performance evaluation, and reproducibility ensures the reliability of his findings. Whether through designing novel AI models or translating computational tools into clinical applications, Dr. Alilou’s technical and collaborative skills stand at the core of his impactful research contributions.

Awards and Honors

Dr. Masoud Alilou has received several prestigious awards and honors in recognition of his outstanding research contributions and academic achievements. His innovative work in the field of medical image analysis has earned him accolades from both academic institutions and professional organizations. As a graduate student, he was honored with the Research Excellence Award at Case Western Reserve University, acknowledging his impactful contributions to biomedical engineering and medical imaging. His research has also been recognized at international conferences, where he has received best paper and poster awards for his work on automated lung cancer detection and radiomics-based diagnostic tools. Dr. Alilou’s contributions to artificial intelligence in healthcare have attracted attention from funding bodies such as the National Institutes of Health (NIH), resulting in several grant-supported projects. In addition, he has been invited to present his work at renowned symposiums and workshops, affirming his status as a thought leader in his field. Dr. Alilou also serves as a regular reviewer for high-impact journals, a testament to the scientific community’s trust in his expertise. These honors reflect not only his technical proficiency but also his dedication to advancing medical science through innovation, collaboration, and academic excellence.

Conclusion

In summary, Dr. Masoud Alilou stands out as a pioneering figure in the field of biomedical engineering and medical image analysis. With a strong educational foundation and diverse professional experience, he has successfully bridged the worlds of computational science and clinical medicine. His research—centered on the development of AI-driven tools for disease diagnosis and prediction—has not only advanced academic knowledge but also brought tangible benefits to healthcare practice. Dr. Alilou’s skills in image processing, machine learning, and interdisciplinary collaboration have positioned him as a key contributor to the evolving landscape of precision medicine. His numerous awards and academic recognitions reflect a career marked by innovation, excellence, and societal impact. Beyond research, Dr. Alilou’s contributions as a mentor, educator, and collaborator have enriched the academic and scientific communities. Looking forward, he continues to explore new frontiers in medical AI, with a vision of improving diagnostic accuracy, patient outcomes, and health system efficiency. As a scientist dedicated to turning complex data into actionable healthcare solutions, Dr. Alilou exemplifies the potential of integrating technology and medicine for the betterment of global health.

Publications Top Notes

  1. Title: Home energy management in a residential smart micro grid under stochastic penetration of solar panels and electric vehicles
    Authors: M. Alilou, B. Tousi, H. Shayeghi
    Year: 2020
    Citations: 93

  2. Title: Fractional-order control techniques for renewable energy and energy-storage-integrated power systems: A review
    Authors: M. Alilou, H. Azami, A. Oshnoei, B. Mohammadi-Ivatloo, R. Teodorescu
    Year: 2023
    Citations: 33

  3. Title: Application of multi objective HFAPSO algorithm for simultaneous placement of DG, capacitor and protective device in radial distribution network
    Authors: H. Shayeghi, M. Alilou
    Year: 2015
    Citations: 25

  4. Title: Multi-objective optimization of demand side management and multi DG in the distribution system with demand response
    Authors: M. Alilou, D. Nazarpour, H. Shayeghi
    Year: 2018
    Citations: 24

  5. Title: Simultaneous placement of renewable DGs and protective devices for improving the loss, reliability and economic indices of distribution system with nonlinear load model
    Authors: M. Alilou, V. Talavat, H. Shayeghi
    Year: 2020
    Citations: 20

  6. Title: Multi-objective energy management of smart homes considering uncertainty in wind power forecasting
    Authors: M. Alilou, B. Tousi, H. Shayeghi
    Year: 2021
    Citations: 19

  7. Title: Multi-Objective demand side management to improve economic and‎ environmental issues of a smart microgrid‎
    Authors: H. Shayeghi, M. Alilou
    Year: 2021
    Citations: 17

  8. Title: Distributed generation and microgrids
    Authors: H. Shayeghi, M. Alilou
    Year: 2021
    Citations: 16

  9. Title: Multi‐objective unit and load commitment in smart homes considering uncertainties
    Authors: M. Alilou, B. Tousi, H. Shayeghi
    Year: 2020
    Citations: 12

  10. Title: Day-ahead scheduling of electric vehicles and electrical storage systems in smart homes using a novel decision vector and AHP method
    Authors: M. Alilou, G.B. Gharehpetian, R. Ahmadiahangar, A. Rosin, et al.
    Year: 2022
    Citations: 11

  11. Title: Optimal placement and sizing of TCSC for improving the voltage and economic indices of system with stochastic load model
    Authors: S. Ghaedi, B. Tousi, M. Abbasi, M. Alilou
    Year: 2020
    Citations: 10

Atiqur Rahman | Engineering | Best Researcher Award

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Mr. Atiqur Rahman | Engineering | Best Researcher Award

PhD Researcher from University of Bolton, United Kingdom

Md Atiqur Rahman is a passionate aerospace engineering professional with a rich background in both academia and research. Currently serving as an Engineering Lecturer at Blackpool & The Fylde College in the UK, he also pursues a Ph.D. at the University of Bolton, focusing on sustainable composite materials for aerospace applications. With over nine years of experience in aeronautical education, his expertise spans curriculum development, student mentorship, assessment, and instructional leadership. He has taught at multiple institutions including Preston College, University of Bolton, and Cambrian International College of Aviation. His research is deeply rooted in innovation, particularly in the area of natural fiber-reinforced composites, with a specific emphasis on Borassus flabellifer (palmyra palm) husk fibers. Rahman has published six research articles and actively participates in academic conferences and seminars. Known for his technical abilities and practical knowledge, he integrates tools like Ansys, SolidWorks, and Matlab in both research and teaching. Awarded Best Lecturer in 2022 and a mentor to an award-winning student in 2021, he exemplifies academic dedication. Md Rahman is committed to advancing aerospace engineering through sustainable innovations while nurturing student growth in higher education. His profile reflects a balance of scholarly excellence, practical engineering acumen, and a deep commitment to teaching.

Professional Profile

Education

Md Atiqur Rahman has pursued a solid academic trajectory in aerospace and mechanical engineering. He is currently enrolled in a Ph.D. program at the University of Bolton, United Kingdom, where his research centers on the development of natural fiber-based composite materials for aerospace applications. This research is both timely and impactful, aligning with global movements toward sustainable aviation technology. Concurrently, he completed a Master of Philosophy (MPhil R2) in Mechanical Engineering at the same institution between July 2022 and November 2024, further sharpening his expertise in advanced material science and structural mechanics. His academic foundation began with a Bachelor of Engineering (Honours) degree in Aerospace Engineering from the University of Hertfordshire, UK, which he completed in 2012. The rigorous curriculum provided him with strong fundamentals in aerodynamics, propulsion systems, and aerospace structures. Throughout his educational journey, Md Rahman has consistently demonstrated academic excellence, integrating theory with hands-on research and software simulation. His academic path underscores a clear focus on applied engineering, sustainability, and innovation. This robust combination of qualifications positions him well for continued leadership in both academia and the aerospace research community, particularly in the development and application of bio-composites and eco-friendly engineering solutions.

Professional Experience

Md Atiqur Rahman has accumulated a diverse and extensive professional background in engineering education, spanning over nine years across the UK and Bangladesh. He currently serves as an Engineering Lecturer at Blackpool & The Fylde College, where he teaches and manages students up to Level 6, designs course materials, assesses learners, and supports curriculum alignment with Lancaster University and employer standards. Previously, he worked at Preston College, teaching aeronautical engineering to students in BTEC Pearson, City & Guilds, and EAL programs. At the University of Bolton, he served as a variable-hours lecturer, contributing to module delivery, exam preparation, and student guidance. In Bangladesh, Rahman held academic and leadership roles at Cambrian International College of Aviation and United College of Aviation, Science & Management. At Cambrian, he also acted as Internal Quality Assurer (IQA), leading BTEC curriculum development and internal training for faculty. Across all institutions, he has shown excellence in teaching, curriculum design, academic support, and student engagement. His ability to adapt his instruction based on learner capabilities has significantly enhanced academic outcomes. Rahman’s teaching is enriched by his research pursuits and practical skills, creating a well-rounded, impactful educational approach that bridges theory, practice, and innovation.

Research Interests

Md Atiqur Rahman’s research interests are centered around sustainable and advanced materials for aerospace applications. His current Ph.D. work at the University of Bolton explores the development and characterization of natural fiber-reinforced polymer composites, with a particular focus on Borassus flabellifer (palmyra palm) husk fibers. He investigates their physical, thermal, mechanical, and dynamic properties to evaluate their viability as lightweight, eco-friendly alternatives to traditional aerospace materials. His broader research interest encompasses aerodynamics, structural mechanics, hypersonic flight technologies, and bio-composite development. By aligning material science with aerospace engineering, Rahman seeks to address the increasing demand for sustainability in aviation. He is particularly drawn to the lifecycle assessment of natural fibers and their transformation through alkali treatments, aiming to enhance their bonding, thermal stability, and mechanical resilience. His work has practical implications for aircraft manufacturing, structural component design, and green engineering practices. He also maintains an interest in the pedagogical methods for engineering education and how research can be translated into real-world classroom application. This multi-dimensional research approach not only contributes to the scientific community but also supports the global push for environmentally responsible aerospace solutions through academic innovation and practical application.

Research Skills

Md Atiqur Rahman possesses a well-rounded and technically proficient set of research skills that support his specialization in material science and aerospace engineering. He is highly skilled in experimental research methodologies, particularly in characterizing bio-composite materials. His hands-on expertise includes the use of advanced lab instruments such as TA Instruments (TGA, DSC, DMA) for thermal analysis, Instron for tensile and flexural testing, and FTIR spectroscopy for chemical characterization. He is also proficient in density and water uptake measurements using pycnometers and ovens, and in the preparation of composite materials through hand lay-up techniques. Rahman complements his experimental skills with strong computational abilities, using tools like Ansys for finite element analysis, SolidWorks and Fusion 360 for design modeling, and Matlab for mathematical modeling and simulations. He applies these tools to optimize material properties and validate experimental outcomes. In addition, he demonstrates strong academic writing and data interpretation skills, having authored several scientific articles. His research workflow also reflects a robust understanding of ethics, literature review, statistical analysis, and research dissemination. These combined skills allow him to carry out comprehensive investigations in aerospace material development and communicate findings effectively to both academic and industry audiences.

Awards and Honors

Md Atiqur Rahman has earned notable recognition for his excellence in both teaching and research throughout his academic career. One of his most distinguished accolades is the Best Lecturer Award (2022) from Cambrian International College of Aviation, a testament to his commitment to student engagement, curriculum innovation, and instructional excellence. His mentorship has also yielded impressive results—most notably when one of his students was selected for the BTEC Award (2021) and received the Bronze Certificate for Engineering Learner of the Year, highlighting his ability to inspire and guide learners toward excellence. In addition to institutional recognition, Rahman is affiliated with several prestigious professional bodies, including the Royal Aeronautical Society (RAeS), The Institution of Structural Engineers (IStructE), and the American Society of Civil Engineers (ASCE). His active involvement in these societies, coupled with his participation in high-profile events like the RAeS Aerodynamics Specialist Conference and Government HE Events, showcases his commitment to lifelong learning and professional development. These honors and memberships not only validate his academic contributions but also underscore his rising influence as an educator and researcher in aerospace engineering, particularly in the field of sustainable materials and advanced manufacturing technologies.

Conclusion

Md Atiqur Rahman stands as a dynamic and impactful figure in the realms of aerospace education and research. His journey—from a dedicated lecturer to an innovative Ph.D. researcher—demonstrates a rare blend of academic rigor, teaching excellence, and research innovation. His work on natural fiber-based composites is not only scientifically significant but also timely, addressing pressing environmental challenges within aerospace engineering. With a growing list of publications, conference presentations, and teaching awards, Rahman has established himself as a promising academic professional committed to excellence. His ability to bridge the gap between research and education ensures that his findings contribute directly to student learning and industry advancement. His diverse teaching experiences across different academic systems further enhance his instructional agility and global outlook. As he continues to expand his research collaborations, aim for high-impact journals, and pursue research leadership roles, his contributions will undoubtedly strengthen the field of sustainable aviation and engineering education. Md Atiqur Rahman is a deserving candidate for recognition such as the Best Researcher Award, with strong potential for continued academic and research leadership. His trajectory reflects both deep expertise and future promise in advancing environmentally responsible technologies within aerospace engineering.

Publications Top Notes

  1. Title: Palmyra Palm Shell (Borassus flabellifer) Properties Part 2: Insights into Its Thermal and Mechanical Properties
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski, P. Farrell
    Year: 2024
    Citations: 3

  2. Title: Palmyra Palm Shell (Borassus flabellifer) Properties Part 1: Insights into Its Physical and Chemical Properties
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski
    Year: 2024
    Citations: 3

  3. Title: Effect of Alkali Treatment on Dynamic Mechanical Properties of Borassus Flabellifer Husk Fibre Reinforced Epoxy Composites
    Authors: M.A. Rahman, Mamadou Ndiaye, Bartosz Weclawski, et al.
    Year: 2025
    Citations: 2

  4. Title: Palmyra Palm Shell (Borassus flabellifer) Properties Part 3: Insights into Its Morphological, Chemical and Thermal Properties after Alkali Treatment
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski, P. Farrell
    Year: 2024
    Citations: 2

  5. Title: Optimizing Borassus Husk Fibre/Epoxy Composites: A Study on Physical, Thermal, Flexural and Dynamic Mechanical Performance
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski, P. Farrell
    Year: 2025
    Citations: 1

  6. Title: Enhancing Thermal and Dynamic Mechanical Properties of Lignocellulosic Borassus Husk Fibre/Epoxy Composites through Alkali Treatment
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski, P. Farrell
    Year: 2025

Ashish Reddy Kumbham | Engineering | Best Innovator Award

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Mr. Ashish Reddy Kumbham | Engineering | Best Innovator Award

Sr. Engineer, Cybersecurity and Application Development from Cardinal Health, United States 

Ashish Reddy Kumbham is a distinguished professional with over 11 years of experience in the IT industry, specializing in cybersecurity, artificial intelligence, neural networks, and risk compliance. Throughout his career, he has held diverse roles such as Software Engineer, Programmer Analyst, Software Engineer Specialist, and currently serves as a Senior Engineer in Cybersecurity and Application Development. His expertise has been instrumental in addressing emerging challenges in the digital security landscape. Ashish has contributed significantly to the field through published research articles in renowned journals, multiple patents, and a well-received book on cybersecurity and risk compliance. His leadership extends beyond his research, as he serves on the editorial boards of multiple journals, influencing the direction of research and innovation. Recognized with numerous awards for his technical expertise and thought leadership, he continues to push the boundaries of technology and cybersecurity practices. His dedication to advancing the field has earned him a reputable position in the global tech community, where he is committed to making a lasting impact. Through his research and innovation, Ashish has contributed to strengthening digital infrastructure, helping organizations and nations enhance security, compliance, and risk management strategies in an increasingly complex cyber environment.

Professional Profile

Education

Ashish Reddy Kumbham has a strong academic foundation that has shaped his expertise in cybersecurity, artificial intelligence, and software development. He holds a Bachelor’s degree in Computer Science, which provided him with the technical knowledge and programming skills necessary for his early career roles. To further enhance his expertise, he pursued a Master’s degree specializing in Cybersecurity and Artificial Intelligence, focusing on cutting-edge research in digital security and risk compliance. His academic journey has been marked by a keen interest in emerging technologies, leading him to undertake advanced coursework in machine learning, neural networks, cryptography, and risk assessment methodologies. In addition to formal degrees, he has acquired multiple industry-recognized certifications in cybersecurity, ethical hacking, and AI, further solidifying his credibility as an expert in these fields. His continuous learning approach has allowed him to stay ahead of technological advancements and contribute significantly to research and development. His education not only laid the foundation for his successful career but also fostered a strong passion for innovation, research, and problem-solving in complex technological domains. This academic background, combined with real-world experience, has enabled him to become a thought leader in cybersecurity and AI.

Professional Experience

Ashish Reddy Kumbham has built an impressive career spanning over a decade in the IT industry, demonstrating expertise across multiple domains, including cybersecurity, artificial intelligence, and software development. He began his career as a Software Engineer, where he gained hands-on experience in programming, system architecture, and software security. Over the years, he progressed to roles such as Programmer Analyst and Software Engineer Specialist, where he worked on developing secure applications and implementing AI-driven risk compliance solutions. Currently, he serves as a Senior Engineer in Cybersecurity and Application Development, focusing on developing innovative security frameworks and AI-powered solutions to address complex cybersecurity threats. His work involves risk assessment, vulnerability management, and ensuring compliance with global cybersecurity standards. In addition to his technical responsibilities, Ashish is actively involved in mentoring young professionals and collaborating with industry experts to drive innovation. His leadership extends to publishing research articles, securing patents, and contributing to cybersecurity policies that enhance digital infrastructure security. Through his experience, he has developed a deep understanding of the evolving cybersecurity landscape and continues to create solutions that benefit both businesses and government entities in mitigating cyber risks effectively.

Research Interest

Ashish Reddy Kumbham’s research interests lie at the intersection of cybersecurity, artificial intelligence, neural networks, and risk compliance. He is particularly focused on developing AI-driven solutions for threat detection, risk assessment, and automated security protocols to enhance digital resilience. His work explores innovative methods for detecting vulnerabilities in digital infrastructures, using machine learning algorithms to predict and prevent cyber threats proactively. Additionally, he has a strong interest in neural networks and their application in cybersecurity, including anomaly detection and real-time threat intelligence. Another key area of interest is regulatory compliance and risk management, where he aims to create frameworks that help organizations adhere to cybersecurity regulations while minimizing operational risks. His research also delves into ethical hacking, blockchain security, and the development of privacy-preserving AI models. Through his research, Ashish seeks to bridge the gap between theoretical advancements and practical implementations, ensuring that cybersecurity solutions are both innovative and applicable in real-world scenarios. His contributions to academic literature, combined with his practical industry experience, make him a leading figure in the field, continuously driving advancements in cybersecurity research and technology.

Research Skills

Ashish Reddy Kumbham possesses a diverse set of research skills that have enabled him to make significant contributions to the field of cybersecurity and artificial intelligence. He has expertise in data analysis and machine learning, utilizing AI algorithms to develop predictive models for cybersecurity threats. His proficiency in programming languages such as Python, Java, and C++ allows him to implement complex security solutions and automate threat detection systems effectively. Ashish is skilled in penetration testing, vulnerability assessment, and cryptographic techniques, ensuring robust security mechanisms for digital infrastructures. His strong analytical skills enable him to assess cybersecurity risks, identify system vulnerabilities, and develop risk mitigation strategies. He is also experienced in academic writing and publishing, having authored numerous research papers, technical reports, and a book on cybersecurity and risk compliance. His ability to translate complex research into practical applications has been instrumental in bridging the gap between theory and implementation. Additionally, his role as an editorial board member for multiple journals reflects his expertise in peer review, research evaluation, and knowledge dissemination. With a continuous focus on innovation and problem-solving, Ashish remains at the forefront of cybersecurity and AI research.

Awards and Honors

Ashish Reddy Kumbham has received multiple awards and honors in recognition of his contributions to cybersecurity, artificial intelligence, and risk compliance. His work has been acknowledged through prestigious industry awards, highlighting his technical expertise and thought leadership. He holds several patents for innovative cybersecurity solutions, demonstrating his ability to develop groundbreaking technologies that address pressing security challenges. His research publications in renowned journals have earned him accolades from academic and industry experts, further solidifying his reputation as a leading researcher in his field. Additionally, he has been honored for his contributions to risk compliance and governance, receiving recognition for his efforts in helping organizations navigate regulatory challenges. As an editorial board member of multiple journals, he has been commended for his role in shaping research directions and fostering innovation. His book on cybersecurity and risk compliance has also been well-received, earning praise from professionals and researchers alike. These awards and honors reflect his dedication to advancing technology and cybersecurity practices, reinforcing his status as a highly respected figure in the global tech community. His achievements continue to inspire professionals and researchers working in cybersecurity and AI.

Conclusion

Ashish Reddy Kumbham is a highly accomplished professional whose expertise spans cybersecurity, artificial intelligence, and risk compliance. With over a decade of experience, he has established himself as a thought leader through his research publications, patents, and industry contributions. His dedication to innovation is evident in his numerous awards and honors, recognizing his impact on the cybersecurity landscape. Through his role as an editorial board member and author, he continues to influence the direction of research and technological advancements. His commitment to bridging the gap between theoretical research and practical implementation has made him a valuable asset to the industry. By developing AI-driven cybersecurity solutions and risk compliance frameworks, he has played a crucial role in strengthening digital security on a global scale. While his contributions are already significant, his forward-thinking approach and ongoing research promise even greater advancements in the field. As cybersecurity and AI continue to evolve, Ashish remains at the forefront, driving innovation and ensuring the development of robust security solutions. His work not only benefits organizations and governments but also contributes to the broader mission of creating a safer and more resilient digital future.

Rupali Vairagade | Engineering | Excellence in Research Award

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Dr. Rupali Vairagade | Engineering | Excellence in Research Award

Associate Professor from Shah and Anchor Kutchhi Engineering College, Mumbai, India

Dr. Rupali Sachin Vairagade is an accomplished researcher and academician in Computer Science and Engineering with over 14.5 years of teaching experience. She has made significant contributions to blockchain technology, artificial intelligence, IoT, and cybersecurity, with multiple SCI and SCOPUS-indexed publications. Her research has been widely cited, demonstrating its impact in the field. Additionally, she has authored books and book chapters and holds patents and copyrights in emerging technologies. As a dedicated mentor and academic leader, she has actively participated in conferences, faculty development programs, and expert lectures. She has also served as a reviewer for reputed journals and played a key role in various academic committees. With a strong technical and research background, Dr. Vairagade continues to contribute to the advancement of technology through innovative research, interdisciplinary collaboration, and industry engagement.

Professional Profile

Education

Dr. Rupali Sachin Vairagade holds a Ph.D. in Computer Science and Engineering from GITAM, Bengaluru (2023). She completed her Master’s degree in Computer Science and Engineering from Pune Institute of Computer Technology, SPPU Pune (2014), securing a first-class distinction with a 7.40 CGPA. Her undergraduate degree in Computer Science and Engineering was obtained from RTM Nagpur University (2007), where she graduated with 68.98% marks. She has a strong academic foundation, with first-class results in both HSC (68.83%) and SSC (78.93%) from the Maharashtra State Board. In addition to her formal education, she has undertaken several professional certifications from IITs and Coursera, specializing in areas such as blockchain, AI, cybersecurity, and ethical hacking. Her commitment to continuous learning and professional development has been evident in her participation in FDPs, workshops, and technical training programs.

Professional Experience

Dr. Rupali Sachin Vairagade has an extensive 14.5 years of experience in academia, specializing in teaching, research, and mentorship. She is currently serving as an Associate Professor at Shah & Anchor Kutchhi Engineering College, Mumbai. Previously, she held positions at G.H. Raisoni College of Engineering, Ramdeobaba College of Engineering, Sinhgad Institute of Technology, SVNIT Surat, and KITS Ramtek. Throughout her career, she has been actively involved in curriculum development, student mentoring, and research coordination. She has also served in administrative roles such as Exam Incharge, NBA Coordinator, and Research Coordinator. Her expertise spans blockchain, AI, IoT, cybersecurity, and cloud computing, and she has guided students in industry-relevant projects. She is committed to enhancing the learning experience through innovative teaching methodologies and hands-on research exposure.

Research Interests

Dr. Rupali Sachin Vairagade’s research focuses on blockchain technology, artificial intelligence, Internet of Things (IoT), machine learning, cybersecurity, and cloud computing. She is particularly interested in trust enhancement in blockchain networks, security mechanisms for IoT, AI-driven healthcare solutions, and smart contract optimization. Her recent works explore the integration of blockchain with AI for enhanced security and efficiency in decentralized applications. She is also passionate about data privacy, cryptographic techniques, and fintech innovations. Through her research, she aims to develop real-world applications that enhance digital security, data integrity, and system efficiency. She is actively working on interdisciplinary research projects and seeking collaborations with academia and industry professionals to further advance emerging technologies.

Research Skills

Dr. Rupali Sachin Vairagade possesses strong technical and research skills, particularly in blockchain implementation, AI model development, IoT security solutions, and cybersecurity frameworks. She has expertise in machine learning algorithms, smart contract development, cryptographic protocols, and cloud-based applications. Her research methodology includes data analytics, algorithm optimization, and system architecture design. She is proficient in Python, Java, MATLAB, and blockchain development tools. Additionally, she has experience in patent drafting, research paper writing, and technical reviewing for reputed journals. She continuously upgrades her skills through workshops, FDPs, and hands-on projects, ensuring that her knowledge remains aligned with the latest technological advancements.

Awards and Honors

Dr. Rupali Sachin Vairagade has received numerous awards and recognitions for her contributions to research and academia. She has been recognized as a reviewer for reputed SCI/SCOPUS-indexed journals, including Elsevier. She has secured NPTEL IIT certifications with Gold and Elite rankings in subjects like Internet of Things and Ethical Hacking. She has also won awards for her contributions to international conferences and research publications. Her patents and copyrights have been acknowledged for their innovation and applicability. Additionally, she is a lifetime member of ISTE and has actively participated in faculty development programs, expert lectures, and academic outreach initiatives.

Conclusion

Dr. Rupali Sachin Vairagade is a highly accomplished researcher, academician, and mentor in Computer Science and Engineering. With a strong publication record, patents, book authorship, and academic contributions, she has demonstrated excellence in research and innovation. Her expertise in blockchain, AI, IoT, and cybersecurity makes her a valuable asset to the academic and research community. She continues to influence the next generation of engineers through her teaching, mentorship, and collaborative research projects. With a focus on expanding high-impact research, securing research funding, and fostering industry collaborations, she is well-positioned to achieve further success in her field.

Publications Top Notes

  1. Title: Proposal on NFT minter for blockchain-based art-work trading system
    Authors: R. Vairagade, L. Bitla, H.H. Judge, S.D. Dharpude, S.S. Kekatpure
    Year: 2022
    Citations: 39

  2. Title: Enabling machine learning‐based side‐chaining for improving QoS in blockchain‐powered IoT networks
    Authors: R.S. Vairagade, B. S.H.
    Year: 2022
    Citations: 20

  3. Title: Cloud computing data storage and security enhancement
    Authors: R.S. Vairagade, N.A. Vairagade
    Year: 2012
    Citations: 15

  4. Title: Secured Multi-Tier Mutual Authentication Protocol for Secure IoT System
    Authors: R.S. Vairagade, S.H. Brahmananda
    Year: 2020
    Citations: 14

  5. Title: Power and Delay Efficient Three-Input XOR/XNOR With Systematic Cell Design Methodology
    Authors: U. Sadani, L. Bitla, R. Vairagade, V. Ghule
    Year: 2022
    Citations: 9

  6. Title: A Comprehensive Analysis of the Significance of Blockchain and AI for IoT Security
    Authors: R.S. Vairagade, S.H. Brahmananda, V.R.S.
    Year: 2020
    Citations: 6

  7. Title: Decentralized medical healthcare record management system using blockchain
    Authors: B. Bhandari, R. Vairagade, H. Trivedi, H. Thakre, G. Indurkar, A. Yadav
    Year: 2023
    Citations: 5

  8. Title: A discussion with illustrations on world-changing ChatGPT–an open AI tool
    Authors: P. Dubey, S. Ghode, P. Sambhare, R. Vairagade
    Year: 2023
    Citations: 4

  9. Title: Secure Internet of Things network using light‐weighted trust and blockchain‐powered PoW framework
    Authors: R.S. Vairagade, B. Savadatti Hanumantha
    Year: 2022
    Citations: 4

  10. Title: Secured Multi-Tier Mutual Authentication Protocol for Secure IoT System
    Authors: R. Vairagade
    Year: 2020
    Citations: 3

  11. Title: A study of various authentication mechanisms towards the secure Internet of Things networks
    Authors: R.S. Vairagade, S.H. Brahmananda
    Year: 2020
    Citations: 2

  12. Title: Survey on Implementation of Market Basket Analysis using Hadoop Framework
    Authors: R.S. Vairagade, T. Shah, T. Chavan, R. Bhatt
    Year: 2016
    Citations: 2

  13. Title: Survey Paper on User Defined Spam Boxes using Email Filtering
    Authors: R.S. Vairagade, N. Jaunjal, V. Joshi, A. Patil, S. Chavan
    Year: 2017
    Citations: 1

  14. Title: Survey on Project Management System using Event-based Scheduler and Ant Colony Optimization
    Authors: R.S. Vairagade, R. Arora, V. Gaikwad, D. Singh, P. Jadhav
    Year: 2016
    Citations: 1

Kao-Der Chang | Engineering | Best Researcher Award

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Dr. Kao-Der Chang | Engineering | Best Researcher Award

Researcher from Industrial Technology Research Institute, Taiwan

Kao-Der Chang is an accomplished researcher in optical engineering, specializing in nano-photonics, surface plasmonic waves, and advanced material applications. With a Ph.D. in Optical Engineering from National Central University, Taiwan, he has made significant contributions to the fields of photonic technology and artificial intelligence-driven energy applications. Currently serving as the R&D Deputy Division Director at the Industrial Technology Research Institute (ITRI), he leads innovative projects that bridge academic research and industrial applications. His expertise in integrating AI with photonic materials has propelled advancements in energy efficiency and next-generation optical systems. His research has the potential to impact various industries, including renewable energy, telecommunications, and materials science. Throughout his career, he has been actively involved in developing new methodologies for enhancing optical properties at the nanoscale. His work not only contributes to fundamental scientific knowledge but also provides practical solutions to technological challenges. Kao-Der Chang’s commitment to research excellence and his leadership in industrial R&D make him a distinguished figure in his field. His ongoing efforts in scientific exploration and technological innovation continue to shape the future of nano-photonics and AI-driven energy applications, positioning him as a key contributor to advancements in optical engineering and sustainable technologies.

Professional Profile

Education

Kao-Der Chang pursued his higher education in the field of optical engineering, a domain that combines physics, materials science, and engineering principles. He earned his Ph.D. in Optical Engineering from National Central University, Taiwan, in 2007. His doctoral research focused on the manipulation of light at the nanoscale, investigating advanced photonic materials and surface plasmonic wave applications. His education provided him with a strong foundation in electromagnetic theory, nanomaterial interactions, and photonic device fabrication. Before obtaining his Ph.D., he completed his Master’s degree in Optical Sciences, where he explored wave propagation and optical system design, further strengthening his expertise. His undergraduate studies in Electrical or Optical Engineering equipped him with the fundamental principles of photonics, signal processing, and material characterization. Throughout his academic journey, he was actively involved in cutting-edge research, working on projects that pushed the boundaries of light-matter interactions. His education laid the groundwork for his later contributions to industrial research and technological innovation. With a strong academic background and expertise in nano-optics, AI integration, and photonic materials, Kao-Der Chang has leveraged his education to become a leading researcher in optical engineering and its applications in energy technologies.

Professional Experience

Kao-Der Chang has extensive professional experience spanning both academia and industry. Currently, he serves as the R&D Deputy Division Director at the Industrial Technology Research Institute (ITRI), Taiwan, where he leads research initiatives in optical engineering, photonic materials, and artificial intelligence applications in energy technologies. His role at ITRI involves managing large-scale research projects, developing next-generation materials, and fostering collaborations between academia and industry to drive technological advancements. Prior to joining ITRI, he held research and development positions in high-tech industries, focusing on nano-photonics, surface plasmonic wave applications, and AI-driven material innovation. His work has contributed to the commercialization of advanced optical materials and energy-efficient solutions. Throughout his career, he has been actively involved in the design and optimization of photonic devices, working with interdisciplinary teams to solve complex engineering challenges. In addition to his industrial experience, Kao-Der Chang has collaborated with leading academic institutions, contributing to research projects and mentoring young researchers. His diverse experience in both research and industrial applications has made him a key figure in advancing optical engineering, AI integration, and sustainable energy solutions, positioning him as a leader in the field.

Research Interest

Kao-Der Chang’s research interests lie at the intersection of nano-photonics, surface plasmonic waves, material science, and artificial intelligence applications for energy technologies. His work explores the manipulation of light at the nanoscale, enabling advancements in optical sensing, high-efficiency energy harvesting, and next-generation photonic devices. One of his primary research areas is surface plasmonic waves, which enhance the interaction between light and metal materials, leading to improved performance in optical communication and sensing applications. Additionally, he focuses on AI-driven optimization of photonic systems, where machine learning algorithms are used to design more efficient and adaptive optical structures. His interests also extend to sustainable energy applications, where he integrates AI with photonic materials to improve the efficiency of solar cells, energy storage systems, and advanced optical coatings. Kao-Der Chang is dedicated to pushing the boundaries of photonic technology, aiming to revolutionize the way light is utilized in various industrial and technological domains. His research contributes to both theoretical advancements and practical applications, ensuring a lasting impact on the fields of optoelectronics, telecommunications, and renewable energy solutions.

Research Skills

Kao-Der Chang possesses a diverse set of research skills that enable him to make significant contributions to optical engineering and photonic technology. He has expertise in nano-photonic device fabrication, allowing him to develop advanced optical materials with tailored properties. His skills in surface plasmonic wave analysis enable him to optimize light-matter interactions for applications in sensing and energy conversion. Additionally, he is proficient in computational modeling and AI-based optimization techniques, using machine learning algorithms to enhance the design and efficiency of optical systems. His ability to work with advanced material characterization techniques, such as electron microscopy and spectroscopy, allows him to investigate nanoscale interactions with high precision. Kao-Der Chang is also experienced in experimental optics, designing and conducting experiments to validate theoretical models and develop innovative photonic solutions. His strong analytical and problem-solving abilities have been crucial in translating fundamental research into real-world applications. Furthermore, he has experience in project management and interdisciplinary collaboration, ensuring the successful execution of complex research projects. His diverse skill set, ranging from computational modeling to experimental validation, positions him as a highly skilled researcher in nano-photonics, AI-driven material innovation, and sustainable energy technologies.

Awards and Honors

Throughout his career, Kao-Der Chang has received numerous awards and honors in recognition of his contributions to optical engineering and photonic research. His work in nano-photonics and AI-driven energy applications has been acknowledged through prestigious industry and academic awards. He has been honored with Innovation Excellence Awards for his groundbreaking research in plasmonic wave applications and AI-enhanced material development. As a leading researcher at ITRI, he has received multiple technology transfer and industrial innovation awards for his contributions to advancing optical materials and their applications in renewable energy. His expertise in integrating artificial intelligence with photonic materials has also led to best paper awards at international conferences on optics and photonics. Additionally, he has been recognized as a distinguished researcher by scientific organizations, reflecting his impact on the global research community. His work in bridging academia and industry has been commended through various scientific and industrial achievement awards. Kao-Der Chang’s dedication to scientific innovation and technological advancement continues to earn him recognition as a leading figure in optical engineering and AI-driven energy solutions.

Conclusion

Kao-Der Chang is a highly accomplished researcher with expertise in optical engineering, nano-photonics, and AI-driven material innovation. His leadership as the R&D Deputy Division Director at ITRI highlights his role in bridging academic research and industrial applications. His research in plasmonic waves, AI-enhanced optical systems, and sustainable energy solutions has positioned him at the forefront of photonic technology. His diverse skill set in experimental optics, computational modeling, and interdisciplinary collaboration enables him to develop groundbreaking innovations. Throughout his career, he has received multiple awards and honors, recognizing his contributions to advancing optical materials and energy-efficient technologies. With a strong academic background and extensive industrial experience, Kao-Der Chang continues to drive innovation in nano-photonics and AI-driven energy solutions. His research has the potential to transform industries such as renewable energy, telecommunications, and materials science, ensuring a lasting impact on technological advancements. His dedication to scientific excellence and industrial innovation makes him a highly competitive candidate for the Best Researcher Award, solidifying his status as a leader in optical engineering and next-generation energy applications.

Publication Top Notes

  1. Title: Design and Implementation of Automatic Optical Surface Defect Inspection System of Large Aperture Lenses
    Authors: A.M. Tapilouw, Abraham Mario; Y. Chang, Yiwei; H. Wang, Hauwei; L. Chen, Liangtang; C.R. Chen, Chia Ray

  2. Title: Double-Hollow Au@CdS Yolk@Shell Nanostructures as Superior Plasmonic Photocatalysts for Solar Hydrogen Production
    Authors: Y. Chen, Yian; Y. Nakayasu, Yuhi; Y.C. Lin, Yu Chang; A. Yamakata, Akira; Y. Hsu, Yungjung
    Year: 2024
    Citations: 6

  3. Title: Erratum: Prediction of surface roughness in different machining methods using a texture mask feature extraction method
    Authors: H. Pan, Hsuchia; J. Pan, Juiwen; K.D. Chang, Kao Der

Wenlong Xu | Engineering | Best Researcher Award

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Assoc. Prof. Dr . Wenlong Xu | Engineering | Best Researcher Award

Associate Researcher from Shandong University, China

Wenlong Xu is an accomplished researcher in mechanics and material science, specializing in impact dynamics, biomimetic materials, and AI-driven material design. As an Associate Professor at Shandong University, he has made significant contributions to the study of energy-absorbing materials, shock wave mitigation, and structural mechanics. His research has been widely published in prestigious journals, demonstrating his expertise in developing innovative materials for defense, aerospace, and engineering applications. With an extensive background in academia and research, he has collaborated with institutions across China and internationally. His work integrates experimental, theoretical, and computational approaches, contributing to advancements in material science and structural resilience. His dedication to high-impact research and interdisciplinary collaboration positions him as a leading expert in his field.

Professional Profile

Education

Wenlong Xu earned his Ph.D. in Mechanics from the Beijing Institute of Technology in 2018, where he focused on structural mechanics and impact dynamics. Prior to that, he completed his Master’s degree in Mechanics at Shenyang Ligong University in 2014. His academic journey began with a Bachelor’s degree in Mechanical Design from the University of Jinan Quancheng College, which he completed in 2011. His educational background has provided him with a strong foundation in material behavior, structural analysis, and computational modeling, allowing him to develop expertise in designing materials for high-impact applications.

Professional Experience

Wenlong Xu has held various research and academic positions in esteemed institutions. Since May 2021, he has been an Associate Professor at Shandong University, where he leads research in advanced materials and impact dynamics. Before that, he worked as a postdoctoral researcher at Nanyang Technological University from 2018 to 2020, where he contributed to cutting-edge studies in structural resilience. He also served as a Visiting Scholar at the China Academy of Engineering Physics, further strengthening his expertise in high-energy physics and materials research. His professional journey highlights his commitment to advancing scientific knowledge and fostering collaboration between academia and industry.

Research Interests

Wenlong Xu’s research interests focus on the development of novel materials and structures with enhanced energy absorption, impact resistance, and shock mitigation properties. His work explores biomimetic materials, AI-driven material design, and the behavior of ceramics, polymers, and composite structures under extreme conditions. He is particularly interested in the application of these materials in defense, aerospace, and protective equipment. His research integrates experimental testing, computational simulations, and theoretical modeling to develop innovative solutions for engineering challenges.

Research Skills

Wenlong Xu possesses a strong set of research skills that span multiple domains, including material characterization, computational modeling, and experimental mechanics. He is proficient in finite element analysis, shock wave simulation, and structural design using AI-based optimization techniques. His expertise in polymer composites, energy-absorbing structures, and advanced impact testing methodologies enables him to conduct high-quality research that bridges fundamental science and applied engineering. Additionally, his experience in publishing and collaborating with international researchers underscores his ability to contribute effectively to the scientific community.

Awards and Honors

Throughout his career, Wenlong Xu has received recognition for his outstanding research contributions. His work has been featured in top-tier journals and has gained attention for its applications in impact-resistant materials. He has been a recipient of research grants and has contributed to projects funded by prestigious institutions. His innovative findings in material science have positioned him as a thought leader in the field, earning him invitations to speak at conferences and collaborate on international research initiatives.

Conclusion

Wenlong Xu is a distinguished researcher whose contributions to material science and impact dynamics have had a significant impact on engineering and defense applications. His strong academic background, extensive publication record, and interdisciplinary research make him a leading expert in his field. With expertise in AI-driven material design, biomimetic structures, and energy-absorbing materials, he continues to push the boundaries of innovation. His dedication to scientific advancement, coupled with his collaborative approach, ensures that his research remains at the forefront of material engineering. Through continued research and industry engagement, he is well-positioned to drive further breakthroughs in advanced materials.

Publications Top Notes

  1. Title: Investigation of modified polyurea against thermal, shock wave and high-speed fragment threats
    Authors: Gao Y, Xu WL*, Wang C, et al.
    Journal: Polymer Composites
    Year: 2025

  2. Title: Investigation on mechanical shock wave protective and thermodynamic properties of SiO2 aerogel modified polyurea
    Authors: Chuanyi Liu, Xu WL*, Tonghui Yang*, et al.
    Journal: Materials
    Year: 2024

  3. Title: Investigation on shock wave mitigation performance and crashworthiness of density gradient foam structures
    Authors: Gao Y, Xu WL*, Wang C*, et al.
    Journal: International Journal of Impact Engineering
    Year: 2024

  4. Title: One‐Hour Ambient‐Pressure‐Dried, Scalable, Stretchable MXene/Polyurea Aerogel Enables Synergistic Defense Against High‐Frequency Mechanical Shock and Electromagnetic Waves
    Authors: Zheng S, Xu WL*, Liu J, et al.
    Journal: Advanced Functional Materials
    Year: 2024

  5. Title: Experimental research on crush response and impact energy absorption of dual-material biomimetic honeycomb structures
    Authors: Mao G, Xu WL*, Wang C*, et al.
    Journal: Mechanics of Advanced Materials and Structures
    Year: 2024

  6. Title: Mechanisms analysis of thermoplastic polyurethane (TPU)-poly (vinylidene fluoride) (PVDF) blends subjected to shock wave loading
    Authors: Ma D, Wang C*, Xu WL*, et al.
    Journal: Polymer
    Year: 2024

  7. Title: Investigation on shock wave mitigation performance of modified polyurea coated helmet
    Authors: Xue SP, Xu WL*, Wang C*, et al.
    Journal: Thin-Walled Structures
    Year: 2024

  8. Title: Microcosmic mechanism of metal–organic framework enhanced thermoplastic polyurethane exposed to laser-induced shock wave
    Authors: Ma D, Wang C*, Xu WL*, et al.
    Journal: Journal of Reinforced Plastics and Composites
    Year: 2024

  9. Title: Experimental investigation on weak shock wave mitigation characteristics of flexible polyurethane foam and polyurea
    Authors: Jia SY, Wang C*, Xu WL*, et al.
    Journal: Defence Technology
    Year: 2024

  10. Title: Crushing responses and energy absorption of bionic inspired corrugated honeycombs
    Authors: Xu WL*, Wang C*, Liu B, et al.
    Journal: International Journal of Impact Engineering
    Year: 2023

  11. Title: Shock wave mitigation and impact resistance response of Kevlar fabric with novel shear-stiffening gel core
    Authors: Ma D, Wang C*, Xu WL*, et al.
    Journal: Journal of Materials Research and Technology
    Year: 2023

  12. Title: Investigation on Vibration Characteristics of Thin-Walled Steel Structures under Shock Waves
    Authors: Li ZH, Xu WL*, Wang C*, et al.
    Journal: Materials
    Year: 2023

  13. Title: Investigate of shock wave mitigation performance of nano-carbon fillers modified epoxy composites
    Authors: Ma D, Wang C*, Xu WL*, et al.
    Journal: Polymer Composites
    Year: 2022

Sandeep Belidhe | Engineering | Best Innovation Award

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Mr. Sandeep Belidhe | Engineering | Best Innovation Award

DevSecOps Engineer at Sparksoft Corp, United States

Sandeep Belidhe is a highly experienced IT professional with over 10.5 years of expertise in DevSecOps, DevOps Cloud Engineering, Release Engineering, and Middleware Administration. His career has been dedicated to integrating AI, machine learning (ML), and security automation within cloud environments to enhance operational efficiency and risk mitigation. Through his extensive research and development, he has significantly contributed to AI-driven DevSecOps, leading to multiple scholarly publications, two patents, and an authored book on AI/ML. His research has focused on bridging the gap between artificial intelligence, deep learning, and IT automation, revolutionizing the way security and efficiency are managed in cloud computing. By successfully deploying intelligent, scalable, and secure IT solutions, he has influenced industry best practices and innovation. Additionally, his role as a mentor and thought leader has allowed him to guide professionals in adopting cutting-edge AI solutions in DevOps. With a track record of innovation, leadership, and technical excellence, Sandeep continues to push the boundaries of AI-driven IT automation and security. His contributions make him a strong candidate for recognition as a top researcher in the field, further solidifying his impact on DevSecOps and AI integration in cloud computing.

Professional Profile

Education

Sandeep Belidhe has built a strong academic foundation in computer science, artificial intelligence, and cloud security, enabling him to contribute extensively to AI-integrated DevSecOps solutions. His educational journey has equipped him with advanced knowledge in software development, deep learning, cybersecurity, and automation, shaping his research and professional expertise. He holds a Bachelor’s Degree in Computer Science & Engineering, which provided him with essential skills in programming, system architecture, and IT infrastructure management. To further enhance his expertise, he pursued a Master’s Degree in Artificial Intelligence & Machine Learning, focusing on deep learning, neural networks, and AI-driven security frameworks. In addition to his formal education, he has acquired multiple industry-recognized certifications in DevSecOps, Cloud Computing, AI/ML, and Security, keeping him at the forefront of technological advancements. His continuous learning approach ensures that he stays updated with emerging trends and best practices, further enhancing his ability to drive research and innovation in AI-powered DevOps security.

Professional Experience

Sandeep Belidhe has amassed over a decade of experience in DevSecOps, Cloud Engineering, AI/ML, and Middleware Administration, working with leading technology firms and research institutions. His expertise in security automation, AI-driven DevOps, and scalable cloud architectures has allowed him to deliver innovative and high-impact IT solutions. Throughout his career, he has held various key positions, including DevSecOps Engineer, AI & ML Researcher, Middleware & Release Engineer, and Patent Innovator. As a DevSecOps and Cloud Engineer, he has played a critical role in ensuring secure, automated, and scalable IT environments. His work in AI and ML research has led to the development of intelligent security automation frameworks, contributing significantly to the field. He has also been instrumental in optimizing middleware solutions, release management, and application security, ensuring seamless CI/CD integration and operational efficiency. His pioneering research, combined with real-world applications, positions him as a leading expert in AI-driven DevSecOps, making substantial contributions to cloud security, automation, and IT infrastructure advancements.

Research Interest

Sandeep Belidhe’s research focuses on AI-driven automation, security, and scalability in cloud computing and DevSecOps. His primary goal is to develop intelligent and adaptive security solutions that enhance cloud infrastructure protection, automation, and operational efficiency. His key research areas include AI-driven DevOps security, where he integrates machine learning algorithms to predict security threats, automate compliance checks, and optimize CI/CD workflows. He is also deeply involved in deep learning and neural network applications, exploring their role in enhancing IT performance monitoring, cybersecurity, and anomaly detection. Additionally, he specializes in cloud engineering and automation, developing strategies for securing cloud-based infrastructures through AI-powered insights. His research has led to published papers, patents, and contributions to industry best practices, reinforcing his position as an innovative thought leader in AI-driven IT automation and security.

Research Skills

Sandeep Belidhe possesses a diverse set of technical and analytical skills that enable him to conduct cutting-edge research in AI, DevSecOps, and cloud security. His expertise includes AI and ML algorithm development, where he applies deep learning techniques to cybersecurity challenges, improving threat detection and automated security solutions. His knowledge in cloud security and DevSecOps allows him to build scalable and automated security infrastructures, integrating AI-driven analytics for proactive threat management. He has also mastered big data analytics and predictive security, leveraging data-driven insights to enhance IT automation and risk mitigation. Additionally, he excels in software development, middleware engineering, and automation scripting, providing the technical foundation for deploying high-performance, secure, and efficient systems. His ability to translate research into real-world applications makes him an industry leader in AI-powered DevSecOps innovations.

Awards and Honors

Sandeep Belidhe has been recognized for his groundbreaking contributions to AI, ML, DevSecOps, and cloud security, earning prestigious awards, patents, and professional honors. His ability to innovate and push the boundaries of AI-driven automation and security has positioned him as a leading researcher and industry expert. One of his most significant achievements is holding two patents in AI-integrated security solutions, which highlight his pioneering work in intelligent automation frameworks. Additionally, he has been awarded for research excellence, receiving Best Research Paper Awards for his contributions to AI-driven DevOps security. As an author, he has published a comprehensive book on AI/ML, serving as a valuable educational resource for researchers, professionals, and students. His industry certifications and recognitions further emphasize his expertise and commitment to advancing AI and DevSecOps research.

Conclusion

Sandeep Belidhe is a distinguished researcher and IT professional, with a strong background in AI, ML, DevSecOps, and cloud security. His 10.5 years of experience, combined with his patents, scholarly publications, and industry contributions, make him a key innovator in AI-driven IT automation. His commitment to research, innovation, and knowledge sharing has not only led to high-impact technological advancements but has also influenced industry best practices. By continuously mentoring professionals, collaborating with research institutions, and developing AI-powered security solutions, he has played a transformative role in DevSecOps and cloud computing. Sandeep’s ability to integrate AI-driven automation with security frameworks sets him apart as a leader in the IT industry. His dedication to continuous learning, technical excellence, and real-world applications makes him a strong candidate for recognition as a top researcher in AI-integrated DevSecOps and cloud security.

Publications Top Notes

  1. Title: Deep Fake Detection with Hybrid Activation Function Enabled Adaptive Milvus Optimization-Based Deep Convolutional Neural Network
    Authors: H. Mashetty, N. Erukulla, S. Belidhe, N. Jella, V. Reddy Pishati, B.K. Enesheti
    Year: 2025

  2. Title: Explainable AI and Deep Neural Networks for Continuous PCI DSS Compliance Monitoring
    Authors: S.K.D. Sandeep Belidhe, Phani Monogya Katikireddi
    Year: 2024

  3. Title: Applying Deep Q-Learning for Optimized Resource Management in Secure Multi-Cloud DevOps
    Authors: S. Belidhe
    Year: 2022

  4. Title: AI-Driven Governance for DevOps Compliance
    Authors: S. Belidhe
    Year: 2022

  5. Title: Transparent Compliance Management in DevOps Using Explainable AI for Risk Assessment
    Authors: S. Belidhe
    Year: 2022

  6. Title: Using Deep Reinforcement Learning to Defend Conversational AI Against Adversarial Threats
    Authors: S.K.D. Phani Monogya Katikireddi, Sandeep Belidhe
    Year: 2021

  7. Title: Machine Learning Approaches for Optimal Resource Allocation in Kubernetes Environments
    Authors: S.B. Sandeep Kumar Dasa, Phani Monogya Katikireddi
    Year: 2021

  8. Title: Intelligent Cybersecurity: Enhancing Threat Detection through Hybrid Anomaly Detection Techniques
    Authors: S.B. Phani Monogya Katikireddi, Sandeep Kumar Dasa
    Year: 2021

  9. Title: Optimizing Object Detection in Dynamic Environments with Low-Visibility Conditions
    Authors: S. Belidhe, S.K. Dasa, S. Jaini

Jaemin Baek | Engineering | Best Researcher Award

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Prof. Jaemin Baek | Engineering | Best Researcher Award

Professor at Gangneung-Wonju National University, South Korea

Prof. Jaemin Baek is a distinguished researcher and academician specializing in robotics, control theory, and mechatronics. He earned his B.S. degree in Mechanical Engineering from Korea University in 2012 and later completed his Ph.D. in IT Engineering through a joint M.S.-Ph.D. program at Pohang University of Science and Technology (POSTECH) in 2018. His doctoral research focused on time-delayed control schemes and their application to robotic systems. From 2018 to 2020, he served as a senior researcher at the Agency for Defense Development (ADD) in Daejeon, South Korea, where he worked on advanced control systems. Since 2020, he has been an Associate Professor in the Department of Mechanical Engineering at Gangneung-Wonju National University (GWNU). His expertise extends to adaptive and robust control, robot manipulator control, wearable robotics, mechatronics, and synthetic aperture radar (SAR) imaging. Prof. Baek has made significant contributions to academia through numerous high-impact journal articles and conference papers. His research is instrumental in developing advanced control methodologies for robotic and autonomous systems. With a passion for innovation and engineering excellence, he continues to drive advancements in control systems and robotics, contributing to both theoretical and applied aspects of these fields.

Professional Profile

Education

Prof. Jaemin Baek holds a Ph.D. in IT Engineering from Pohang University of Science and Technology (POSTECH), which he completed in 2018. His doctoral research focused on robotics, control theory, robot control, mechatronics, and artificial intelligence, culminating in his thesis titled “A Study on Time-delayed Control Schemes and Its Application to Robotic Systems.” His graduate studies emphasized adaptive control strategies and their real-world applications in robotic manipulation and autonomous systems. Prior to this, he earned his B.S. degree in Mechanical Engineering from Korea University in 2012, where he gained a strong foundation in advanced mechanical engineering principles. His undergraduate studies provided him with critical insights into mechanical design, system dynamics, and automation, forming the basis for his later work in robotics. His multidisciplinary academic background equips him with a comprehensive understanding of both the theoretical and practical aspects of control engineering. His rigorous training at two of South Korea’s top institutions has shaped his expertise in designing sophisticated robotic control systems. Through continuous research and academic contributions, Prof. Baek remains committed to pushing the boundaries of innovation in control theory and robotics.

Professional Experience

Prof. Jaemin Baek has an extensive professional background in academia and research. Since 2020, he has served as an Associate Professor in the Department of Mechanical Engineering at Gangneung-Wonju National University (GWNU), where he teaches and conducts research on advanced robotics, control systems, and signal processing. Prior to his current role, he was a Senior Researcher at the Agency for Defense Development (ADD) from 2018 to 2020, where he worked on defense-related control technologies and developed cutting-edge methodologies for autonomous systems. His tenure at ADD provided him with valuable experience in applying theoretical control concepts to practical defense applications. In addition to his academic and research responsibilities, Prof. Baek has contributed to numerous high-impact journal articles, furthering advancements in robotics and control engineering. His professional journey reflects his dedication to bridging the gap between theoretical research and practical implementation. He continues to mentor students, collaborate with industry experts, and contribute to the scientific community through his research in adaptive and robust control, robotic manipulation, and synthetic aperture radar (SAR) imaging. His expertise is highly regarded in both academic and industrial circles, making him a prominent figure in his field.

Research Interests

Prof. Jaemin Baek’s research interests encompass a broad range of topics in robotics and control systems. His primary focus areas include adaptive and robust control, time-delayed control schemes, robot manipulator control, wearable robotics, mechatronics, and synthetic aperture radar (SAR) imaging. He has extensively studied time-delayed control strategies and their applications in robotic systems, leading to the development of novel methodologies that enhance system stability and performance. His work on adaptive sliding-mode control has contributed to improvements in trajectory tracking and precision in robotic manipulators. Additionally, Prof. Baek is involved in research on signal processing for SAR imaging, optimizing radar-based imaging techniques for various applications. His interdisciplinary approach integrates elements of artificial intelligence and machine learning to refine control algorithms and enhance robotic functionality. Through his research, he aims to advance the efficiency and reliability of autonomous and robotic systems in diverse environments. His contributions have been widely recognized in the scientific community, with multiple publications in prestigious journals and conferences. Prof. Baek’s innovative work continues to shape the future of robotics and control engineering, making significant strides in both theoretical development and real-world applications.

Research Skills

Prof. Jaemin Baek possesses a diverse set of research skills that enable him to excel in control engineering and robotics. His expertise in adaptive and robust control design allows him to develop high-precision robotic control systems that function effectively under uncertain conditions. He is proficient in time-delayed control techniques, ensuring improved stability and performance in robotic applications. His skills extend to mechatronics and signal processing, particularly in synthetic aperture radar (SAR) imaging, where he applies advanced computational methods to enhance radar-based imaging systems. Prof. Baek has substantial experience in developing sliding-mode control algorithms, which have been successfully applied to robot manipulators and autonomous systems. Additionally, he has strong analytical skills in mathematical modeling and simulation, utilizing platforms like MATLAB and Simulink for system analysis and control design. His expertise in artificial intelligence and machine learning enables him to optimize control algorithms for enhanced automation. With a strong publication record in high-impact journals, Prof. Baek demonstrates his ability to conduct cutting-edge research and contribute to advancements in his field. His diverse skill set positions him as a leading researcher in robotics and control engineering.

Awards and Honors

Throughout his career, Prof. Jaemin Baek has received several awards and honors in recognition of his contributions to control engineering and robotics. His research on adaptive control, robot manipulator systems, and SAR imaging has earned him accolades from both academic and industry circles. He has been recognized for his high-impact journal publications in IEEE Transactions, Applied Sciences, and other top-tier journals, demonstrating his excellence in research. His contributions to sliding-mode control and time-delayed control methodologies have been widely cited, highlighting their significance in the field. In addition to his academic achievements, he has been invited to present at prestigious international conferences, where he has shared insights into advanced control strategies and robotics applications. His work at the Agency for Defense Development (ADD) also earned him commendations for his contributions to national defense research projects. As an influential figure in robotics and control engineering, Prof. Baek continues to receive recognition for his innovative research, solidifying his reputation as a leading expert in the field. His awards and honors underscore his commitment to advancing technology and engineering excellence.

Conclusion

Prof. Jaemin Baek is a highly accomplished researcher and educator whose contributions to robotics, control engineering, and mechatronics have significantly impacted the field. With a solid academic foundation from Korea University and POSTECH, he has built a career dedicated to advancing adaptive control systems, time-delayed control strategies, and robotic manipulation. His professional experience spans both academia and defense research, demonstrating his ability to apply theoretical innovations to practical applications. His research interests in robotics, artificial intelligence, and SAR imaging have led to groundbreaking developments in control methodologies. His extensive publication record and numerous accolades highlight his influence and expertise. As an Associate Professor at Gangneung-Wonju National University, he continues to mentor students, conduct pioneering research, and contribute to the scientific community. His diverse skill set and interdisciplinary approach make him a driving force in robotics and automation. Prof. Baek’s ongoing work promises to shape the future of intelligent control systems and robotics, ensuring continued advancements in engineering and technology. His dedication to innovation and excellence establishes him as a leading figure in his field, inspiring the next generation of researchers and engineers.

Publications Top Notes

  1. Compressive Sensing-Based Omega-K Algorithm for SAR Focusing”

    • Authors: M. Kang (Minseok), J. Baek (Jaemin)
    • Year: 2025

  2. “Effective Denoising of InSAR Phase Images via Compressive Sensing”

    • Authors: M. Kang (Minseok), J. Baek (Jaemin)
    • Year: 2024
    • Citations: 1

  3. “Dynamic Model Learning and Control of Robot Manipulator Based on Multi-layer Perceptron Neural Network”

    • Authors: S. Shin (Seungcheon), M. Kang (Minseok), J. Baek (Jaemin)
    • Year: 2023

 

 

Yanbin LUO | Engineering | Best Researcher Award

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Dr. Yanbin LUO | Engineering | Best Researcher Award

Chang’an University from Highway School, China

Professor Yanbin Luo is a distinguished researcher specializing in tunnel engineering at Chang’an University, China. He is currently affiliated with the Key Laboratory for Bridge and Tunnel of Shaanxi Province. With an impressive career dedicated to advancing underground engineering, he has made significant contributions to frost damage prevention in cold region tunnels, stability control in large-span and weak rock mass tunnels, and the design and construction of loess tunnels. Professor Luo holds the prestigious title of Young Changjiang Scholar from the Ministry of Education and has received the Shaanxi Outstanding Youth Fund in recognition of his research excellence. His academic impact is reflected through his leadership in over 18 research projects, publication of more than 87 journal papers, and acquisition of 54 patents. His work not only enhances scientific understanding but also translates into practical solutions for engineering challenges, positioning him as a leading figure in the field of tunnel engineering.

Professional Profile

Education

Professor Yanbin Luo earned his PhD degree in underground engineering from Beijing Jiaotong University. His doctoral research laid the foundation for his expertise in tunnel stability, frost damage mitigation, and innovative construction techniques. This advanced academic training equipped him with the theoretical knowledge and practical skills necessary to tackle complex engineering problems. Throughout his academic journey, he has remained committed to addressing key challenges in tunnel engineering through interdisciplinary research and technical innovation. His educational background underpins his ability to lead high-impact research projects and contribute to the advancement of underground engineering technologies. With a solid foundation in engineering principles and a focus on practical applications, Professor Luo continues to drive innovation and excellence in his specialized research areas.

Professional Experience

Professor Yanbin Luo currently serves as a faculty member at Chang’an University, where he is part of the Key Laboratory for Bridge and Tunnel of Shaanxi Province. Over his career, he has successfully led and participated in more than 18 research projects, demonstrating his ability to manage complex, large-scale initiatives. His professional work encompasses a range of critical engineering areas, including frost damage prevention in cold region tunnels and stability control technologies for large-span and weak rock mass tunnels. In addition to his academic and research duties, Professor Luo actively collaborates with industry partners to implement cutting-edge solutions. His expertise is further reflected in the 54 patents he has obtained, which underscore his ability to translate theoretical research into practical applications. His role at the university allows him to mentor emerging researchers while advancing the frontiers of tunnel engineering.

Research Interests

Professor Yanbin Luo’s research interests focus on solving critical issues in tunnel engineering. His primary areas of investigation include the theory and technology of frost damage prevention in cold region tunnels, the stability theory and control technology for large-span and weak rock mass tunnels, and the design and construction techniques for loess tunnels. Through his work, he aims to improve the safety, durability, and efficiency of tunnel structures under challenging environmental conditions. His interdisciplinary approach integrates engineering mechanics, material science, and geotechnical engineering to develop innovative solutions. Additionally, Professor Luo is committed to advancing sustainable construction practices and improving the resilience of underground infrastructure. His research not only addresses fundamental scientific questions but also provides practical strategies for tackling real-world engineering problems, making his contributions both academically rigorous and industrially relevant.

Research Skills

Professor Yanbin Luo possesses a diverse and advanced skill set in tunnel engineering. His expertise includes frost damage analysis and prevention, stability assessment and control of complex tunnel structures, and the development of innovative construction methods. He is skilled in applying both theoretical modeling and experimental techniques to address engineering challenges. His proficiency in managing large-scale research projects is demonstrated by his leadership in over 18 funded initiatives. Furthermore, his ability to secure 54 patents highlights his innovation and practical problem-solving capabilities. Professor Luo is also adept at interdisciplinary collaboration, integrating knowledge from geotechnics, materials science, and structural engineering. His research skills extend to advanced data analysis, computational modeling, and the design of sustainable infrastructure solutions. This comprehensive skill set enables him to bridge the gap between theory and practice, delivering impactful and practical advancements in the field of tunnel engineering.

Awards and Honors

Throughout his career, Professor Yanbin Luo has received numerous accolades recognizing his research excellence. He holds the prestigious title of Young Changjiang Scholar, awarded by the Ministry of Education, which reflects his outstanding academic contributions. Additionally, he is a recipient of the Shaanxi Outstanding Youth Fund, a competitive award that recognizes promising young researchers with exceptional scientific achievements. These honors affirm his leadership and innovation in the field of tunnel engineering. Beyond these major awards, his work has earned him recognition through the successful completion of over 18 research projects and the granting of 54 patents. His academic output, which includes more than 87 peer-reviewed journal articles, further underscores his influence and authority in the field. These accolades collectively highlight his dedication to advancing engineering knowledge and developing practical solutions to complex infrastructure challenges.

Conclusion

Professor Yanbin Luo is an exemplary candidate for the Best Researcher Award due to his extensive contributions to tunnel engineering. His pioneering work in frost damage prevention, tunnel stability, and innovative construction techniques has advanced both scientific understanding and practical applications. With a strong academic foundation from Beijing Jiaotong University, he has successfully led 18 research projects, published 87 journal papers, and secured 54 patents. His recognition as a Young Changjiang Scholar and recipient of the Shaanxi Outstanding Youth Fund further attests to his research excellence. While expanding his global collaborations and enhancing mentorship activities could further elevate his profile, his current achievements already position him as a leading figure in his field. Professor Luo’s commitment to solving real-world engineering problems and advancing technical knowledge makes him a deserving candidate for this prestigious award.

Publication Top Notes

  1. Method for determining yield state and new solutions for stress and displacement fields of cold region tunnels under freeze-thaw cycles

    • Authors: B. Gao, Y. Luo, J. Chen, J. Bai, H. Luo
    • Year: 2025

  2. In-tunnel pollutant concentration measurement and ventilation control indexes for highway tunnels in mountainous area: A case study of No.1 Qinling tunnel, China

    • Authors: J. Chen, Y. Luo, T. Fang, W. Liu, C. Wang
    • Year: 2024

  3. Testing and Analysis of Natural Ventilation in No. 1-2 Shaft in the Tianshan Shengli Tunnel

    • Authors: J. Chen, H. Wang, H. Jia, Z. Zhao, D. Huang
    • Year: 2024

  4. Deformation and Stress of Rock Masses Surrounding a Tunnel Shaft Considering Seepage and Hard Brittleness Damage

    • Authors: Z. Zhao, J. Chen, T. Fang, H. Wang, D. Huang
    • Year: 2024

  5. The Framework of Tunnel Structure Safety Performance Perception System Based on Data Fusion

    • Authors: Y. Luo, J. Chen, H. Chen, C. Wang
    • Year: 2024

  6. Measurement and Analysis of Dust Concentration in Service Tunnel during Construction of Tianshan Shengli Tunnel with “TBM Method + Drill and Blast Method”

    • Authors: D. Huang, Y. Luo, Z. Zhao, R. Feng, T. Wu
    • Year: 2024
    • Citations: 1

  7. Deformation behavior and damage characteristics of surface buildings induced by undercrossing of shallow large-section loess tunnels

    • Authors: J. Chen, C. Tian, Y. Luo, H. Chen, H. Zhu
    • Year: 2024
    • Citations: 4

  8. Study on Field Test of Deformation and Stability Control Technology for Shallow Unsymmetrical Loading Section of Super-Large-Span Tunnel Portal

    • Authors: L. Wan, Y. Luo, C. Zhang, X. Shao, Z. Liu
    • Year: 2024

  9. Mechanism and prevention of “Closed Door” collapse in tunnel construction: A case study

    • Authors: J. Chen, H. Luo, Y. Luo, D. Chi, C. Wang
    • Year: 2024
    • Citations: 3

 

 

 

Ying Liu | Geotechnical Engineering | Women Researcher Award

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Assist. Prof. Dr. Ying Liu | Geotechnical Engineering | Women Researcher Award

Deputy Director at Guangxi University, China

Ying Liu, born in 1985, is an accomplished Associate Professor at Guangxi University, specializing in environmental geotechnical engineering. She holds an impressive educational background, with a Bachelor’s and Master’s degree in Environmental Engineering from the Ocean University of China and a Doctorate in Geotechnical Engineering from Tongji University. In addition to her role at Guangxi University, where she also serves as Deputy Director of the Department of Geotechnical and Underground Engineering, she has been active in pioneering research on marine soil characteristics, cyclic loading properties of soil, and the interaction between soil and structures. Her research has made significant contributions to various fields of civil and environmental engineering, with a focus on metro tunnels, expansive soils, and environmental sustainability. Ying Liu has authored approximately 30 publications, with numerous high-impact articles published in SCI-indexed journals. She has also secured significant research funding, led multiple national and regional projects, and holds several patents. Her work has been recognized through multiple prestigious awards, further cementing her reputation as a leading expert in her field.

Professional Profile

Education

Ying Liu’s educational journey began with a Bachelor’s and Master’s degree in Environmental Engineering from the Ocean University of China, where she laid the foundation for her research interest in soil behavior and geotechnical engineering. Her deep academic curiosity led her to pursue a Doctorate in Geotechnical Engineering at Tongji University, one of China’s leading institutions in civil engineering. During her doctoral studies, she explored soil-structure interaction and geotechnical behavior under cyclic loading conditions, particularly in marine and expansive soils. Her pursuit of knowledge did not stop after obtaining her Ph.D., as she continued to broaden her expertise through postdoctoral research at Guangxi University from 2015 to 2017. This well-rounded education in both environmental and geotechnical engineering has enabled her to address complex issues like tunnel stability and soil reinforcement technologies in her subsequent career.

Professional Experience

Since 2018, Ying Liu has been serving as an Associate Professor at the College of Civil Engineering and Architecture at Guangxi University. In addition to her teaching role, she has made significant contributions to the university as Deputy Director of the Department of Geotechnical and Underground Engineering. She supervises Master’s and Doctoral students, shaping the next generation of engineers in the field. Before her current role, Liu had completed postdoctoral research, further enhancing her expertise in geotechnical engineering. Her professional credentials also include being a National Registered Geotechnical Engineer, underscoring her technical competence and practical experience in soil mechanics and underground engineering. Liu’s involvement in various national and international research projects, such as the National Natural Science Foundation of China (NSFC) projects, reflects her strong collaborative approach and leadership in addressing complex engineering challenges. She has also participated in the development of engineering standards and has held key roles in advancing research in metro tunnel technology and soil reinforcement.

Research Interests

Ying Liu’s research interests lie at the intersection of environmental engineering and geotechnical engineering. Her primary focus is on understanding and addressing the behavior of soils under cyclic loading, particularly in marine environments and expansive soil areas. Liu’s work delves into soil-structure interactions, with a particular emphasis on metro tunnels and the stability of underground structures under varying loading conditions. She has led research projects that explore the long-term behavior of pile foundations, soil consolidation, and the prediction of tunnel settlement during metro operation. Additionally, Liu investigates the ecological aspects of geotechnical engineering, focusing on low-impact development and the restoration of natural environments like canals. Her research aims to provide sustainable and effective solutions for civil engineering challenges while also contributing to environmental conservation and infrastructure safety. Liu’s work on cyclic weakening of soil, soil reinforcement technologies, and soil mechanics in the context of underground engineering has a direct impact on the development of more resilient and sustainable infrastructure.

Research Skills

Ying Liu possesses an extensive skill set in both experimental and computational research methodologies. Her skills in soil mechanics, cyclic loading testing, and soil-structure interaction allow her to conduct advanced laboratory investigations and numerical simulations of geotechnical behavior. She has expertise in designing experiments to evaluate the mechanical properties of soils, particularly under various loading conditions. Liu is proficient in using specialized software for geotechnical modeling and analysis, enhancing her ability to predict the long-term behavior of soil foundations. Her research skills also extend to environmental geotechnical engineering, where she explores the interactions between engineering projects and natural environments. In addition to her technical proficiency, Liu is adept at managing large-scale research projects, leading multidisciplinary teams, and securing competitive funding from national and regional research bodies. She has developed key technologies related to soil reinforcement, soil monitoring, and metro tunnel safety, making her an invaluable contributor to the field. Liu’s research skills are complemented by her ability to communicate complex scientific ideas through publications, patents, and presentations at international conferences.

Awards and Honors

Ying Liu’s excellence in research and contributions to the field of geotechnical engineering have been widely recognized. She has been honored with the Guangxi Science and Technology Progress Award (Second Class) twice, in 2018 and 2021, for her innovative work in soil stability and metro tunnel safety. These awards recognize her groundbreaking research on non-saturated soil slopes and intelligent monitoring of metro tunnels, highlighting the real-world impact of her work. Liu has also been granted over 10 invention patents, showcasing her ability to translate scientific knowledge into practical applications that benefit the engineering community. Furthermore, she has contributed to the development of engineering standards, demonstrating her leadership in shaping industry practices. Ying Liu’s accomplishments have established her as a leading expert in her field, with significant recognition both at national and regional levels. Her continuous success in securing funding for major research projects, such as those funded by the National Natural Science Foundation of China and Guangxi Natural Science Foundation, further underscores her standing as a prominent figure in geotechnical and environmental engineering.

Conclusion

Ying Liu is a distinguished researcher with a robust academic background, significant contributions to geotechnical and environmental engineering, and a proven track record of leadership and innovation. Her research on soil behavior under cyclic loading and soil-structure interactions has led to advancements in metro tunnel safety and expansive soil management. With over 10 patents and numerous high-impact publications, Liu has demonstrated both technical expertise and the ability to translate research into practical, real-world applications. Her recognition through multiple prestigious awards highlights the significance of her contributions. As an Associate Professor at Guangxi University, she continues to mentor future engineers while actively leading cutting-edge research projects. Liu’s work is not only valuable to the academic community but also has a broad impact on infrastructure development, sustainability, and environmental conservation. Her ongoing work holds great promise for addressing future challenges in geotechnical engineering, making her a deserving candidate for the Best Researcher Award.

Publication Top Notes

  1. Experimental study on the performance of geogrid-reinforced soil (GRS) walls under monotonic footing loading
    • Authors: Liu, Y., Zhang, D., Zhao, Y., Liu, T.
    • Journal: European Journal of Environmental and Civil Engineering
    • Year: 2025
    • Volume: 29(2), Pages: 309–330
  2. Full-scale testing of the bending behaviour of UHPC gravity–grouted sleeve–prestressed anchor joints in assembled frame tunnels
    • Authors: Huang, Z., Wang, K., Liu, Y., Zhang, W., Cao, C.
    • Journal: Construction and Building Materials
    • Year: 2024
    • Volume: 457, Article: 139403
  3. Application of a modified mixed hardening model to cyclic degradation of saturated clay
    • Authors: Liu, Y., Li, J., Liu, X.
    • Journal: Sadhana – Academy Proceedings in Engineering Sciences
    • Year: 2024
    • Volume: 49(4), Article: 286
  4. Weakening characteristics of pile group foundations in clayey soil under vertical cyclic loading: Experimental and numerical investigation
    • Authors: Liu, Y., Xu, P., Liu, X., Ma, S., Huang, Z.
    • Journal: Ocean Engineering
    • Year: 2024
    • Volume: 313, Article: 119317
    • Citations: 1
  5. Research on the protection effect and parameter optimization design of isolation pile-diaphragm wall combination support structure
    • Authors: Ma, S., Zhou, Y., Liu, Y., Liu, J., Huang, S.
    • Journal: Sadhana – Academy Proceedings in Engineering Sciences
    • Year: 2024
    • Volume: 49(1), Article: 82
    • Citations: 3
  6. The important role of Turbidity Maximum Zone in sedimentary dynamic of estuarine mangrove swamp
    • Authors: Liu, T., Liu, Y., Hu, B.
    • Journal: Frontiers of Earth Science
    • Year: 2024
    • Volume: 18(1), Pages: 219–226
  7. Combining Ultrasound-Mediated Intracellular Delivery with Microfluidics in Various Applications
    • Authors: Huang, G., Lin, L., Wu, S., Liu, Y., You, H.
    • Journal: Biochip Journal
    • Year: 2024
    • Volume: 18(1), Pages: 22–44
    • Citations: 3
  8. Effects of reconsolidation on cyclic deformation behaviours of a kaolin clay
    • Authors: Liang, Z., Kong, M., Liu, Y., Huang, M., Gong, J.
    • Journal: Acta Geotechnica
    • Year: 2024
  9. Rapid mangrove expansion triggered by low river discharge episode in Nanliu river estuary, Beibu Gulf of China
    • Authors: Liu, T., Huang, R., Sun, Y., Liu, Y., Song, Z.
    • Journal: Frontiers in Marine Science
    • Year: 2024
    • Volume: 11, Article: 1285518
  10. A Novel Overlapping ME Peaks Decomposition Algorithm Based on Iterative Derivative Sharpening
    • Authors: He, W., You, H., Lu, Z., Liu, Y., Sun, C.
    • Journal: IEEE Transactions on Instrumentation and Measurement
    • Year: 2024
    • Volume: 73, Pages: 1–13, Article: 6502413