Shaofeng Zheng | Engineering | Best Researcher Award

Mr. Shaofeng Zheng | Engineering | Best Researcher Award

Zheng Shaofeng is a seasoned Senior Engineer and currently serves as the Technical Head of the Laboratory at the Huangpu Customs Technology Center. With a longstanding dedication to the inspection and testing of import and export commodities, he has earned recognition for his technical expertise and leadership in national and international standardization. He is a registered expert and committee member in various prominent technical groups, including the Standardization Technical Committee for Fire Tests of Electrical and Electronic Products (SAC/TC 300), IEC/TC 89, and ISO TR 8124-9:2018. Zheng has actively contributed to the development and revision of 14 national standards, reflecting his deep influence on regulatory practices in China. His research efforts are highly interdisciplinary, spanning battery lifecycle traceability, environmental safety, and commodity quality evaluation. Over the years, he has published more than 20 academic papers in SCI, EI-indexed journals, and core Chinese journals, further establishing his academic presence. Zheng also holds over 10 patents and has received several prestigious awards recognizing his contributions to scientific advancement and technological innovation. He is a vital figure in connecting scientific inquiry with real-world application, particularly in energy storage systems, trade regulations, and product safety.

Professional Profile

Education

While specific institutional affiliations are not detailed, Zheng Shaofeng’s educational background is evidently rooted in a strong foundation in engineering and applied sciences. His advanced knowledge and professional roles suggest that he has undergone formal academic training in materials science, chemical engineering, environmental technology, or a closely related field. The technical nature of his research and his ability to lead high-level scientific projects imply both undergraduate and postgraduate education, likely supplemented with ongoing professional development. His qualifications are further validated by his active participation in national standardization committees and involvement in high-level research and policy formulation projects. Moreover, his standing as a senior engineer and technical expert in various regulatory and technological domains shows a continued commitment to learning and applying new knowledge in dynamic and complex environments. Though the exact degrees and institutions remain unspecified, Zheng’s career achievements and affiliations with multiple scientific and governmental bodies reflect his strong academic grounding and ability to translate education into impactful practice.

Professional Experience

Zheng Shaofeng currently serves as the Technical Head of the Laboratory at the Huangpu Customs Technology Center, where he has played a central role in the development and implementation of inspection protocols for import and export commodities. With extensive experience in applied laboratory science, regulatory compliance, and technical assessment, he is responsible for managing large-scale testing procedures that align with national and international standards. His professional experience also includes significant participation in governmental science and technology evaluations as an expert for the Guangdong Province Department of Science and Technology and as a technical trade expert for the WTO/TBT Notification and Research Center. Zheng’s leadership spans collaborative, interdisciplinary projects on battery lifecycle traceability, carbon footprint analysis, and product safety evaluation. His input in these areas helps shape national policy and contributes to global standards. His role involves hands-on testing, risk assessment, standardization, and training of personnel, making him both a technical and administrative leader in his organization. By bridging the gap between research and regulation, he ensures that emerging technologies and products entering Chinese markets comply with the highest safety and environmental standards.

Research Interests

Zheng Shaofeng’s research interests lie at the intersection of environmental technology, energy systems, regulatory science, and materials testing. He focuses particularly on risk monitoring, traceability, and lifecycle assessment of energy storage systems, especially imported and exported new energy vehicle power batteries. His work aligns with global sustainability goals, as it emphasizes full lifecycle carbon footprint analysis and the residual value assessment of second-life batteries. He is also deeply involved in safety testing protocols and fire hazard assessments for electronic and electrical commodities. Zheng’s involvement in international technical committees such as IEC/TC 89 and ISO TR 8124-9:2018 reflects a strong interest in standardization and global regulatory harmonization. His interdisciplinary research contributes not only to scientific innovation but also to public safety, international trade policies, and environmental protection. Through his work, Zheng is addressing some of the most pressing challenges in product safety and green technology—ensuring safe, traceable, and sustainable product development and deployment. His focus on real-world applicability gives his research a strategic relevance that extends beyond academia into the realms of industry and policy.

Research Skills

Zheng Shaofeng brings a rich array of technical and analytical skills to his research endeavors. He is proficient in advanced laboratory testing methods for electronic and electrical products, with a particular emphasis on fire hazard assessments and quality inspection protocols. His research methodology incorporates lifecycle analysis, carbon footprint modeling, and residual value assessment—tools that are critical for evaluating the sustainability and safety of new energy vehicle batteries. He has extensive experience in managing complex research projects at provincial and ministerial levels, demonstrating his capabilities in project design, data interpretation, and results dissemination. Zheng’s skills also extend to technical writing, as evidenced by his publication record in high-impact journals and his role in developing national standards. Furthermore, his patent portfolio highlights his ability to innovate and solve real-world technical problems. In regulatory science, he has a deep understanding of WTO/TBT compliance, international standardization frameworks, and risk-based monitoring approaches. His combined laboratory expertise, policy knowledge, and interdisciplinary communication skills position him as a multifaceted researcher who seamlessly integrates technical proficiency with practical application.

Awards and Honors

Zheng Shaofeng has received multiple awards and honors recognizing his significant contributions to scientific research and technological development. His projects have been honored with the Third Prize of the Science and Technology Award by the China General Chamber of Commerce, the Third Prize of the Science and Technology Progress Award by the China Federation of Logistics & Purchasing, and commendations from the Guangdong Quality Development Promotion Association and the Guangdong Measurement, Control & Instrumentation Society. These accolades reflect the impactful nature of his work in commodity inspection, safety evaluation, and battery lifecycle analysis. Additionally, his contributions to the development and revision of 14 national standards have earned him respect and authority in China’s regulatory ecosystem. His membership in prestigious technical committees and expert groups—including IEC/TC 89 and SAC/TC 300—further illustrates the national and international recognition of his expertise. The combination of awards and leadership roles underlines his reputation as a leading expert in environmental testing and regulatory compliance, emphasizing both his technical contributions and his strategic influence in shaping policy and standards.

Conclusion

In conclusion, Zheng Shaofeng exemplifies the qualities of a leading researcher whose work bridges scientific innovation, regulatory compliance, and public safety. Through his leadership in laboratory testing, participation in national and international standardization efforts, and direction of cutting-edge projects on battery traceability and carbon monitoring, he has significantly contributed to the field of environmental technology and product safety. His technical acumen is matched by his strategic foresight, making his research not only relevant but also transformative in its application. With more than 20 research publications, 10+ patents, and multiple national awards, Zheng’s achievements reflect a sustained commitment to excellence, innovation, and service. He stands out as a role model for integrating scientific rigor with real-world impact. While there is room for deeper international collaboration and broader global publication presence, Zheng’s current trajectory positions him strongly within both national and international research communities. His multifaceted expertise and proven results make him a highly deserving candidate for the Best Researcher Award, and his continued work will undoubtedly yield further advancements in science, technology, and policy.

Publications Top Notes

  1. Plastic Reference Material (PRM) Combined With Partial Least Square (PLS) in Laser-Induced Breakdown Spectroscopy (LIBS) in the Field of Quantitative Elemental Analysis
  2. Authors: Wang, Bin Zheng, Shaofeng Gan, Jiulin Yang, Zhongmin Song, Wuyuan
  3. Journal: Guang Pu Xue Yu Guang Pu Fen Xi (Spectroscopy and Spectral Analysis)
  4. Publication Year: 2023

Mehdi Chemseddine FARAH | Engineering | Best Researcher Award

Assist. Prof. Dr. Mehdi Chemseddine FARAH | Engineering | Best Researcher Award

Telecommunications and Digital Signal Processing Laboratory, Djillali Liabes University, Sidi Bel Abbes, Algeria

Dr. FARAH Mehdi Chemseddine is a Lecturer Class B at the Telecommunications and Digital Signal Processing Laboratory, Djillali Liabes University, Sidi Bel Abbès, Algeria. He specializes in the design and optimization of microwave circuits, with a focus on microstrip technology. His research encompasses the development of compact and efficient microwave components such as hybrid couplers, power dividers, low-pass filters, and diplexers. Dr. Chemseddine has authored several publications in reputable journals, including the Journal of Circuits, Systems and Computers and Telecommunications and Radio Engineering. His work is characterized by innovative approaches to improving electrical performance, selectivity, and reducing the footprint of microwave devices. He has also participated in international conferences, presenting his research findings to the global scientific community. Dr. Chemseddine’s contributions to the field of telecommunications engineering demonstrate his commitment to advancing microwave circuit design and his potential as a leading researcher in this domain.

Professional Profile

Education

Dr. Chemseddine’s academic journey began with a Bachelor’s degree in Exact Sciences in 2008. He then pursued a License in Electrical Engineering, specializing in Communication Networks, which he completed in 2014. In 2016, he obtained a Master’s degree in High-Frequency Communication Systems from Djillali Liabes University. His academic pursuits culminated in earning a Ph.D. in Telecommunication Systems from the same university in 2022. Throughout his educational career, Dr. Chemseddine has demonstrated a strong foundation in electrical and communication engineering principles, which has been instrumental in his research endeavors. His academic background has equipped him with the necessary skills and knowledge to contribute significantly to the field of microwave circuit design.

Professional Experience

Dr. Chemseddine began his professional career as a Maître-Assistant Class B at the Faculty of Electrical Engineering, Department of Telecommunications, Djillali Liabes University, in 2023. In 2024, he was promoted to Maître-Conférence Class B at the same institution. His responsibilities include teaching undergraduate and graduate courses, supervising student research projects, and conducting his own research in microwave circuit design. Dr. Chemseddine has also completed internships, including one at the Hubert Curien Laboratory in Saint-Étienne, France, where he designed and implemented a microwave low-pass filter using planar technology. His professional experience reflects a commitment to both education and research in telecommunications engineering.

Research Interests

Dr. Chemseddine’s research interests are centered on the design and optimization of microwave circuits, particularly using microstrip technology. He focuses on developing compact, efficient, and cost-effective components such as hybrid couplers, power dividers, low-pass filters, and diplexers. His work aims to address challenges in electrical performance, selectivity, and device miniaturization. Dr. Chemseddine employs advanced simulation tools like HFSS and ADS to model and analyze microwave components, ensuring their practical applicability in telecommunications systems. His research contributes to the advancement of microwave engineering by providing innovative solutions for modern communication systems.

Research Skills

Dr. Chemseddine possesses a robust set of research skills in microwave circuit design and telecommunications engineering. He is proficient in using simulation and design tools such as HFSS (High-Frequency Structure Simulator), ADS (Advanced Design System), and MATLAB for modeling and analyzing microwave components. His expertise includes designing microstrip-based devices, optimizing their performance parameters, and validating their functionality through simulations and experimental measurements. Dr. Chemseddine’s skills enable him to develop innovative solutions that meet the demands of modern communication systems, emphasizing efficiency, compactness, and cost-effectiveness. His technical competencies are integral to his contributions to the field of microwave engineering.

Awards and Honors

While specific awards and honors are not detailed in the provided information, Dr. Chemseddine’s selection as a nominee for the Best Researcher Award at the International Research Awards on Science, Health, and Engineering underscores his recognition in the scientific community. His publications in reputable journals and presentations at international conferences further attest to his contributions and standing in the field of telecommunications engineering. These accomplishments reflect his dedication to research excellence and his potential for future accolades in his area of expertise.

Conclusion

Dr. FARAH Mehdi Chemseddine is an emerging researcher in the field of microwave circuit design and telecommunications engineering. His academic background, professional experience, and focused research interests have led to significant contributions in developing compact and efficient microwave components. Through his publications and conference presentations, he has demonstrated a commitment to advancing the field and addressing practical challenges in communication systems. Dr. Chemseddine’s proficiency in simulation tools and design methodologies positions him as a valuable contributor to both academic and industry-related projects. His nomination for the Best Researcher Award highlights his potential and the impact of his work in the scientific community.

Publications Top Notes

  1. Title: A Design of a Compact Microwave Diplexer in Microstrip Technology Based on Bandpass Filters Using Stepped Impedance Resonator
    Authors: M.C. Farah, F. Salah-Belkhodja, K. Khelil
    Journal: Journal of Microwaves, Optoelectronics and Electromagnetic Applications
    Year: 2022
    Citations: 6

  2. Title: A Novel Design of a Wilkinson Power Divider Based on the Circular-Shape Resonator
    Authors: R. El Bouslemti, C.M. Farah
    Journal: Frequenz, Vol. 78 (11-12), pp. 621–631
    Year: 2024
    Citations: 3

  3. Title: A Design of Microstrip Low-pass Filter Using Ground-Plane Coplanar Waveguide (GCPW)
    Authors: F.M. Chemseddine, E. Rahmouna, V. Didier
    Journal: Telecommunications and Radio Engineering
    Year: 2024
    Citations: 1

  4. Title: Design of Wilkinson Power Divider for Mobile and WLAN Applications
    Authors: M.C. Farah, F. Salah-Belkhodja
    Source: Proceedings of the International Conference for Pioneering and Innovative Technologies
    Year: 2023
    Citations: 1

  5. Title: A Design of Microstrip 180 Degree Hybrid Coupler Using T-Shape Structure for Monopulse Radar
    Authors: F.M. Chemseddine, S.B. Faouzi, F.Y. Hadj Aissa
    Journal: Journal of Circuits, Systems and Computers
    Year: 2025

  6. Title: Exploring Corrosion Behavior in Different Environments Using a Passive Microstrip Sensor
    Authors: R. El Bouslemti, M.C. Farah
    Journal: Communication Science et Technologie, Vol. 22 (1), pp. 7–17
    Year: 2024

  7. Title: Conception d’un Coupleur Microondes à Branches en Technologie Microstrip
    Authors: M.C. Farah, F. Salah-Belkhodja, Z. Kaldoune, A. Cheikh
    Journal: Communication Science et Technologie, Vol. 21 (1), pp. 13–33
    Year: 2023

  8. Title: Conception en Technologie Microstrip d’un Diplexeur Microondes Basé sur des Filtres à Saut d’Impédance
    Authors: F.M. Chemseddine
    Year: 2022

  9. Title: Conception en Technologie Microstrip d’un Diplexeur Microondes Basé sur des Filtres à Saut d’Impédance
    Authors: M.C. Farah, F. Salah-Belkhodja
    Year: 2022

Premalatha Santhanamari | Engineering | Best Researcher Award

Dr. Premalatha Santhanamari | Engineering | Best Researcher Award

Associate Professor from SRMIST, Ramapuram, India

Dr. S. Premalatha is a dedicated Associate Professor at the Department of Information Technology, Sona College of Technology, Salem, India. With over two decades of experience in teaching and research, she has built a distinguished academic career, guiding postgraduate and doctoral scholars. Dr. Premalatha holds a Ph.D. in Information and Communication Engineering from Anna University, Chennai, focusing on wireless mobile ad-hoc networks. Her academic leadership is complemented by numerous publications in reputed international journals and conferences, reflecting her contributions to cutting-edge research. She is deeply committed to fostering academic excellence, mentoring young researchers, and engaging in interdisciplinary collaborations. Dr. Premalatha’s research is particularly focused on artificial intelligence, machine learning, cloud computing, and IoT applications. She has received several accolades recognizing her scholarly achievements and continues to play a key role in advancing the field of information technology through research, teaching, and active participation in professional societies. Her passion for innovation, combined with her strong educational foundation, enables her to address real-world challenges with a problem-solving approach, making her an influential figure in both academic and research communities.

Professional Profile

Education

Dr. S. Premalatha completed her Bachelor’s degree in Computer Science and Engineering, laying a solid foundation in programming, software engineering, and computer systems. She went on to earn her Master of Engineering (M.E.) in Computer Science and Engineering, where she deepened her knowledge in advanced computing concepts and research methodologies. Her academic journey culminated in a Doctor of Philosophy (Ph.D.) in Information and Communication Engineering from Anna University, Chennai. Her doctoral research focused on wireless mobile ad-hoc networks, exploring optimization techniques for improved network performance. Throughout her educational journey, Dr. Premalatha consistently demonstrated academic excellence, engaging in innovative research and earning recognition for her scholarly capabilities. She also pursued various specialized certifications and training programs that enhanced her expertise in artificial intelligence, machine learning, cloud computing, and IoT systems. Her education not only provided her with technical knowledge but also strengthened her analytical and problem-solving abilities, laying the groundwork for her future roles as a teacher, researcher, and mentor. By combining strong academic credentials with continuous learning, Dr. Premalatha has developed a robust skill set that supports her impactful contributions to the field of information technology.

Professional Experience

Dr. S. Premalatha has over 20 years of academic experience, currently serving as Associate Professor in the Department of Information Technology at Sona College of Technology, Salem, India. Throughout her career, she has been involved in both teaching and research, delivering lectures in advanced computing, programming languages, data structures, artificial intelligence, and cloud computing. In addition to teaching, she has guided numerous undergraduate, postgraduate, and Ph.D. students, fostering innovation and critical thinking. Dr. Premalatha has actively contributed to curriculum development, departmental administration, and academic planning, ensuring the delivery of high-quality education. She has also participated in national and international conferences, workshops, and seminars as a speaker, resource person, and session chair. Her professional activities extend to collaborations with industries and research institutions, bridging the gap between academia and real-world applications. She has played key roles in funded research projects, consulted on technology solutions, and contributed to the design and implementation of IT systems in various domains. Dr. Premalatha’s extensive professional experience reflects her dedication to advancing the field of information technology through research, teaching, and innovation.

Research Interest

Dr. S. Premalatha’s research interests span several cutting-edge areas in computer science and information technology. Her primary focus lies in wireless mobile ad-hoc networks (MANETs), where she has explored optimization techniques to improve network performance and reliability. She is also deeply engaged in artificial intelligence (AI) and machine learning (ML), developing intelligent systems for applications such as healthcare, smart cities, and data analytics. Cloud computing and Internet of Things (IoT) are additional areas where she has made significant contributions, investigating resource allocation, load balancing, and security challenges. Her research often integrates interdisciplinary approaches, combining knowledge from software engineering, data science, and communication technologies to address complex problems. Dr. Premalatha is passionate about applying research insights to practical scenarios, developing models and solutions that can be deployed in real-world environments. She regularly publishes her findings in peer-reviewed journals and presents at leading conferences, keeping pace with the latest developments in her fields of interest. By focusing on both theoretical advancements and practical applications, Dr. Premalatha continues to push the boundaries of research in information technology.

Research Skills

Dr. S. Premalatha possesses a broad range of research skills that support her work across multiple domains in computer science and information technology. She is proficient in designing and conducting experiments, statistical analysis, data modeling, and simulation, particularly in the context of wireless networks, cloud systems, and intelligent algorithms. Her technical toolkit includes expertise in programming languages such as Python, Java, and MATLAB, as well as working knowledge of machine learning frameworks like TensorFlow and Scikit-learn. Dr. Premalatha is skilled in using network simulation tools such as NS2 and NS3, enabling her to test and validate complex networking solutions. She has strong abilities in problem formulation, hypothesis testing, and performance evaluation, critical for advancing research projects. Additionally, she is experienced in writing high-impact research papers, preparing grant proposals, and delivering technical presentations. Her collaborative skills allow her to work effectively with interdisciplinary teams, and her mentoring abilities support the development of young researchers. Dr. Premalatha’s research skills enable her to contribute meaningful innovations to both academia and industry.

Awards and Honors

Over her distinguished career, Dr. S. Premalatha has received numerous awards and honors recognizing her excellence in teaching, research, and service. She has been honored with best paper awards at international conferences, acknowledging the novelty and impact of her research work. Dr. Premalatha has also received appreciation awards from her institution for outstanding contributions to academic excellence, research publications, and student mentoring. Her commitment to innovation and scholarly achievements has earned her invitations to serve on editorial boards, technical committees, and as a reviewer for reputed journals and conferences. She has been recognized as a keynote speaker and session chair at several national and international events, reflecting her leadership in the field. Additionally, Dr. Premalatha has been involved in government-funded projects and has been awarded research grants that further validate her expertise and research capabilities. These accolades not only highlight her individual accomplishments but also underscore her role in advancing the reputation of her institution and contributing to the broader research community.

Conclusion

In conclusion, Dr. S. Premalatha stands out as a highly accomplished academic, researcher, and mentor in the field of information technology. Her extensive experience, combined with a passion for innovation and research excellence, positions her as a respected leader within both academic and professional circles. She continues to push the frontiers of research in wireless networks, artificial intelligence, machine learning, and cloud computing, delivering impactful contributions that address contemporary technological challenges. Beyond her research achievements, Dr. Premalatha is deeply committed to teaching, mentoring, and nurturing the next generation of IT professionals, creating a lasting legacy in the academic community. Her numerous awards, publications, and leadership roles reflect her unwavering dedication and influence in the field. Looking ahead, Dr. Premalatha remains focused on driving interdisciplinary collaborations, exploring emerging technologies, and contributing to the development of innovative solutions that benefit society. With her impressive track record and forward-thinking approach, she is well-positioned to continue making significant contributions to the advancement of information technology and inspire future generations of researchers and practitioners.

 Publications Top Notes

  • Security Enhancement in 5G Networks by Identifying Attacks Using Optimized Cosine Convolutional Neural Network

    • Journal: Internet Technology Letters

    • Year: 2025

    • DOI: 10.1002/ITL2.70003

    • Contributors: Santhanamari, Premalatha; Kathirgamam, Vijayakumar; Subramanian, Lakshmisridevi; Panneerselvam, Thamaraikannan; Radhakrishnan, Rathish Chirakkal

  • Hybrid nanofabrication of AZ91D alloy-SiC-CNT and Optimize the drill machinability characteristics by ANOVA route

    • Journal: Optical and Quantum Electronics

    • Year: 2024

    • DOI: 10.1007/s11082-023-06121-9

    • Contributors: Vimala, P.; Deepa, K.; Agrawal, A.; Raj, S.S.; Premalatha, S.; V. Mohanavel; Ali, M.

  • Analysis of single-phase cascaded H-bridge multilevel inverters under variable power conditions

    • Journal: Indonesian Journal of Electrical Engineering and Computer Science

    • Year: 2023

    • DOI: 10.11591/ijeecs.v30.i3.pp1381-1388

    • Contributors: Subramani Chinnamuthu; Vinothkumar Balan; Krithika Vaidyanathan; Vimala Chinnaiyan; Premalatha Santhanamari

  • Protection of stand-alone wind energy conversion system using bridge type fault current limiters

    • Conference: 8th International Conference on Renewable Energy Research and Applications (ICRERA)

    • Year: 2019

    • DOI: 10.1109/ICRERA47325.2019.8996727

    • Contributors: Arun Bhaskar, M.; Premalatha, S.; Parameswaran, A.; Dinesh, P.; Dash, S.S.

  • Optimization of impedance mismatch in distance protection of transmission line with TCSC

    • Conference: Advances in Intelligent Systems and Computing

    • Year: 2016

    • DOI: 10.1007/978-81-322-2656-7_115

    • Contributors: Arun Bhaskar, M.; Indhirani, A.; Premalatha, S.

  • Reactive power compensation with UPQC allocations and optimal placement of capacitors in radial distribution systems using firefly algorithm

    • Journal: International Journal of Control Theory and Applications

    • Year: 2016

    • Contributors: Premalatha, S.; Sukanthan, S.; Sunitha, D.; Umayal Muthu, V.

  • Design of UPFC based Damping Controller using Neuro Fuzzy to Enhance Multi-machine Power System Stability

    • Journal: Indian Journal of Science and Technology

    • Year: 2016

    • DOI: 10.17485/ijst/2016/v9is1/110905

    • Contributors: S. Premalatha; D. Prathima

  • Non-iterative optimization algorithm based D-STATCOM for power quality enhancement

    • Journal: International Review on Modelling and Simulations

    • Year: 2013

    • Contributors: Premalatha, S.; Dash, S.S.; Arun Venkatesh, J.; Rayaguru, N.K.

  • Power Quality Improvement Features for a Distributed Generation System using Shunt Active Power Filter

    • Journal: Procedia Engineering

    • Year: 2013

    • DOI: 10.1016/j.proeng.2013.09.098

    • Contributors: S. Premalatha; Subhransu Sekhar Dash; Paduchuri Chandra Babu

  • PV supported DVR and D-STATCOM for mitigating power quality issues

    • Journal: International Review on Modelling and Simulations

    • Year: 2013

    • Contributors: Premalatha, S.; Dash, S.S.; Sunitha, D.; Mohanasundaram, R.

Leila Omidi | Engineering | Best Researcher Award

Dr. Leila Omidi | Engineering | Best Researcher Award

Assistant Professor from Tehran University of Medical Sciences, Iran

Leila Omidi is an accomplished academic and researcher specializing in Occupational Health and Safety Engineering. She currently serves as an Assistant Professor in the Department of Occupational Health Engineering at Tehran University of Medical Sciences. With a focus on process safety, risk analysis, resilience engineering, and human factors affecting safety, Omidi has significantly contributed to research in high-risk industries, particularly in fire safety systems, human error management, and safety performance metrics. Her work addresses both theoretical and practical aspects of safety engineering, offering solutions to enhance safety standards in industries such as oil refining and healthcare. She has authored multiple research papers, secured numerous research grants, and held various academic leadership roles. Omidi’s expertise and influence in her field extend through her editorial work with several prominent safety journals, showcasing her leadership in advancing research and knowledge in her discipline.

Professional Profile

Education

Leila Omidi earned her Ph.D. in Occupational Health and Safety Engineering from Tehran University of Medical Sciences, where her research focused on process safety and resilience engineering. She completed her MSc in Occupational Health and Safety Engineering at Shahid Beheshti University of Medical Sciences. Throughout her academic journey, Omidi has honed her expertise in risk analysis, safety culture, and human reliability. Her educational background forms a solid foundation for her ongoing research and academic contributions. Omidi’s doctoral and master’s thesis work provided innovative insights into optimizing safety systems in high-risk sectors, further enhancing her credentials as a leading scholar in her field.

Professional Experience

Leila Omidi has gained extensive professional experience through both academic and industry roles. She is currently an Assistant Professor at Tehran University of Medical Sciences, where she teaches graduate-level courses in Crisis and Emergency Management, Accident Analysis, Fire Risk Assessment, and Occupational Health. In addition to her academic roles, Omidi has served as a Health Expert at the Iran Ministry of Health and as a Safety Advisor at various industrial companies, including Mizan Binazir Industrial Company and Gam Metal Casting Company. Her experience in industry and academia has allowed her to bridge the gap between research and real-world application, making her research highly relevant and impactful for safety engineering practices.

Research Interests

Leila Omidi’s research interests are centered on process safety, risk analysis, safety culture, and human factors in high-risk industries. She is particularly interested in resilience engineering and safety performance indicators, with a focus on improving safety outcomes through leading and lagging metrics. Omidi’s work also explores human reliability analysis (HRA) and safety performance in industrial settings, as well as human error management. Her research contributes to both theoretical understanding and practical applications, addressing challenges such as fire risk assessment, safety climate factors, and risk-based resilience in industries like oil refining and healthcare. Through her studies, Omidi aims to enhance safety systems and reduce accidents, ultimately improving worker health and safety.

Research Skills

Leila Omidi possesses advanced research skills in risk analysis, resilience engineering, and human reliability analysis. Her expertise includes using simulation-based methods to assess and optimize safety systems, as demonstrated by her work on the risk-based resilience of fire extinguishing systems in the oil refining industry. Omidi is skilled in applying a range of quantitative and qualitative research methods to evaluate safety performance and risk factors. Her proficiency in process safety performance indicators, safety culture assessments, and fire risk analysis showcases her diverse research capabilities. Furthermore, her involvement in human error identification and system safety analysis highlights her ability to address complex challenges in industrial safety.

Awards and Honors

Leila Omidi has received numerous awards and honors for her academic and research achievements. She has been awarded several research grants, including funding for her Ph.D. thesis on risk-based resilience in the fire extinguishing system of the oil refining industry. Additionally, she has received multiple MSc thesis grants for her work on reliability-centered maintenance strategies and human error analysis. Omidi’s accomplishments also include being named a top student in her department at Shahid Beheshti University and recognition as a member of Iran’s National Elites Foundation. Her contributions to safety engineering and occupational health have earned her various distinctions, cementing her reputation as a leading scholar in her field.

Conclusion

Leila Omidi is a highly accomplished researcher and academic in the field of Occupational Health and Safety Engineering. With a strong educational foundation and extensive professional experience, she has contributed significantly to the advancement of process safety, risk analysis, and human reliability. Omidi’s research has practical implications for improving safety systems in industries such as oil refining and healthcare, and her teaching has shaped the next generation of safety engineers. Her numerous research grants and awards, combined with her leadership in academic publishing and her editorial work, demonstrate her impact on the field. While her international collaborations and interdisciplinary research could be expanded, Omidi’s work continues to have a significant influence on improving safety and resilience in high-risk industries.

Publications Top Notes

  1. Title: Resilience assessment in process industries: A review of literature

    • Authors: Ghaljahi Maryam, Omidi Leila, Karimi Ali

    • Year: 2025

  2. Title: Safety leadership and safety citizenship behavior: the mediating roles of safety knowledge, safety motivation, and psychological contract of safety

    • Authors: Omidi Leila, Karimi Hossein, Pilbeam Colin J., Mousavi Saeid, Moradi Gholamreza R.

    • Year: 2025

    • Citations: 3

  3. Title: Evaluation of Domino Effects and Vulnerability Analysis of Oil Product Storage Tanks Using Graph Theory and Bayesian Networks in a Process Industry

    • Authors: Ghaljahi Maryam, Omidi Leila, Karimi Ali

    • Year: 2024

    • Citations: 1

Baoqiang Du | Engineering | Best Researcher Award

Prof. Baoqiang Du | Engineering | Best Researcher Award

Director from Hunan Normal University, China

Dr. Du Baoqiang is a highly respected academician and researcher specializing in information and communication engineering, satellite navigation, and high-precision measurement technologies. Born in November 1973, he currently serves as a second-level professor and doctoral supervisor at Hunan Normal University. His educational background includes studies at the PLA Information Engineering University, Zhengzhou University, and Xidian University, followed by postdoctoral research in related fields. As a “Furong Scholar” specially appointed professor, he has demonstrated leadership in various major educational and research programs. Dr. Du is known for his pioneering contributions to Beidou satellite signal processing, where he introduced new theories and technical innovations that have had significant industrial and academic impact. His research work has led to the development of instruments reaching international advanced standards, particularly enhancing satellite positioning precision from the centimeter to the millimeter level. In addition to publishing over a hundred academic papers and holding numerous patents, he has actively contributed to national-level projects, academic evaluations, and technical developments. His outstanding achievements and leadership make him a leading figure in his field and a strong candidate for top-tier research awards.

Professional Profile

Education

Dr. Du Baoqiang’s academic journey reflects a solid and progressive formation in engineering and technology. He pursued his undergraduate and graduate studies successively at the PLA Information Engineering University, Zhengzhou University, and Xidian University. Throughout these institutions, he specialized in areas deeply connected to communication engineering, information processing, and computer science. Following the completion of his Doctor of Engineering degree, Dr. Du engaged in postdoctoral research in Information and Communication Engineering and Computer Science and Technology. His academic development not only provided him with a robust technical foundation but also exposed him to interdisciplinary research fields, crucial for his later innovations in satellite navigation and signal processing. The combination of military-grade information systems education and civilian academic excellence equipped him with unique insights that have greatly benefited his professional career. His education path shows a consistent focus on high-tech fields, indicating early strategic planning and dedication to advancing in cutting-edge technological domains. These experiences laid the groundwork for his contributions to the Beidou navigation system and high-precision positioning technologies.

Professional Experience

Dr. Du Baoqiang’s professional career is marked by substantial academic leadership and technological innovation. As a second-level professor at Hunan Normal University, he supervises doctoral candidates and leads multiple strategic programs. He serves as the head of the Department of Communication Engineering and directs several critical programs, including the provincial first-class major in Communication Engineering and the master’s degree programs in Electronic Science and Technology. He is also the director of significant research facilities, such as the Hunan Province Beidou High-Performance Cooperative Positioning Engineering Technology Research Center and the Key Laboratory of Beidou Intelligent Navigation Information Processing. Beyond his academic roles, Dr. Du actively contributes to industry and policy development as the vice president of the Hunan Satellite Application Association and an expert advisor for the China Beidou Tianheng Think Tank. His service as a reviewer for the National Natural Science Foundation of China and national undergraduate and doctoral evaluations underlines his status as a trusted figure in academic quality assurance. Throughout his career, he has successfully led numerous national and provincial research projects, making significant strides in both theoretical research and practical technological applications.

Research Interest

Dr. Du Baoqiang’s primary research interests center around satellite navigation signal processing, high-precision time-frequency information measurement, and cooperative positioning system development. His work particularly focuses on advancing the Beidou navigation system, one of China’s major satellite positioning initiatives. He has delved into the theory and practical applications of ultra-high-resolution heterogeneous frequency group quantization phase processing and adaptive frequency tracking technologies. Additionally, Dr. Du is keenly interested in solving complex challenges in weak signal detection, phase synchronization, and error elimination in circuit systems. His research addresses both theoretical advancements and industrial applications, aiming to bridge the gap between scientific research and technological commercialization. He strives to enhance the precision and reliability of satellite-based positioning services, pushing capabilities from the centimeter level to the millimeter level. Furthermore, his contributions support the national strategic goals in satellite navigation and communication engineering, solidifying China’s competitiveness in this critical high-tech domain. Dr. Du’s research philosophy integrates scientific discovery, engineering innovation, and application-driven development, ensuring that his work remains relevant to academic progress and national technological needs.

Research Skills

Dr. Du Baoqiang demonstrates an exceptional range of research skills, blending theoretical analysis with practical system development. His expertise covers advanced signal processing algorithms, high-precision time-frequency measurement systems, and the technological integration necessary for industrial-scale applications. He has a deep understanding of Beidou satellite systems and has innovated unique methods like ultra-high-resolution group quantization and adaptive differential phase synchronization. His skills include the design and development of high-precision instruments, project leadership in large-scale scientific and technological endeavors, and academic writing, with a record of over 100 peer-reviewed publications. As a project manager, he exhibits strategic planning abilities, team leadership, and cross-disciplinary collaboration. Dr. Du also possesses strong skills in patent development, having successfully registered 28 invention patents. Moreover, his capabilities as a scientific reviewer and advisor for national foundations and educational ministries demonstrate his critical evaluation and research assessment skills. These diverse abilities enable him to contribute comprehensively to his field, from pioneering theoretical insights to delivering real-world technological breakthroughs.

Awards and Honors

Throughout his career, Dr. Du Baoqiang has earned numerous awards and honors that reflect his contributions to science, education, and technology. He holds the prestigious title of “Furong Scholar,” a designation for distinguished professors in Hunan Province. He has been recognized as an outstanding party affairs worker by the Comprehensive Committee of Social Organizations of Hunan Province, illustrating his leadership not only in academics but also in organizational development. His technological achievements have been validated through eight provincial-level scientific and technological appraisals, all reaching the international advanced level. Under his leadership, instruments like the DF427 high-precision Doppler frequency shift measuring system have achieved world-leading performance. Dr. Du has also been appointed as an expert with the China Beidou Tianheng Think Tank and serves as a reviewer for critical national funding programs, confirming his high standing in China’s scientific community. His prolific output of high-impact publications and patents further cements his reputation as an innovator and thought leader in communication engineering and satellite navigation technologies.

Conclusion

Dr. Du Baoqiang represents a model of excellence in engineering research and academic leadership. His combination of deep theoretical knowledge, innovative technical development, and influential leadership roles positions him as a top figure in the fields of satellite navigation and high-precision measurement technologies. His scientific contributions have practical significance, enhancing China’s technological capabilities and supporting national strategic interests in the Beidou navigation system. While his national recognition is substantial, further expanding his international collaborations would elevate his influence to a truly global scale. Nevertheless, the depth, breadth, and impact of Dr. Du’s work make him exceptionally deserving of prestigious honors such as the Best Researcher Award. His career is a testament to sustained dedication, scientific creativity, and the practical application of advanced research to solve critical technological challenges.

Publication Top Notes

  1. Title: High-Stability Adaptive Frequency Comparison Method Based on Fuzzy Area Characteristics

    • Authors: Du Baoqiang, Yang Zerui, Su Yangfan

    • Year: 2025

  2. Title: High-Accuracy Frequency Standard Comparison Technology Combining Adaptive Frequency and Lissajous Figure

    • Authors: Du Baoqiang, Su Yangfan, Yang Zerui

    • Year: 2025

  3. Title: High-Accuracy Phase Frequency Detection Technology Based on BDS Time and Frequency Signals

    • Authors: Du Baoqiang, Tan Lanqin

    • Year: 2024

  4. Title: A High-Precision Frequency Measurement Method Combining π-Type Delay Chain and Different Frequency Phase Coincidence Detection

    • Authors: Du Baoqiang, Li Wenming

    • Year: 2024

    • Citations: 2

 

Atiqur Rahman | Engineering | Best Researcher Award

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

Sandeep Belidhe | Engineering | Best Innovation Award

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

Yang Xiang | Structural Engineering | Best Researcher Award

Assoc. Prof. Dr. Yang Xiang | Structural Engineering | Best Researcher Award

Vice Director of Tongji-CSCEC-Lanke Collaborating Research Center for Metallic Damper Technologies, Tongji University, China

Dr. Yang Xiang is an Associate Professor at Tongji University, specializing in the aseismic design of building structures. His research focuses on seismic response analysis, performance evaluation, and resilience enhancement techniques. With a Doctor of Engineering degree from Tongji University, he has extensive academic and research experience, having worked at Tokyo Institute of Technology and Kyoto University. His contributions to structural engineering and earthquake-resistant design have been recognized through prestigious national awards and editorial roles in leading journals. Dr. Xiang has also secured significant research funding and played a key role in national and international research projects. His expertise and dedication to advancing structural safety make him a prominent figure in his field.

Professional Profile

Education

Dr. Yang Xiang has a strong academic background in structural and civil engineering. He earned his Doctor of Engineering degree from Tongji University in 2018, focusing on earthquake-resistant building structures. Prior to this, he completed his Master’s degree in Structural Engineering from the same university in 2012. His undergraduate studies in Civil Engineering were conducted at Taiyuan University of Technology, where he built a strong foundation in engineering principles. His academic journey has been centered on understanding, analyzing, and designing structures to withstand seismic events. Through his studies at top engineering institutions, Dr. Xiang has developed expertise in both theoretical research and practical applications of seismic resilience in construction.

Professional Experience

Dr. Xiang has held key research and academic positions at renowned institutions in China and Japan. From 2018 to 2020, he was a JSPS Research Fellow at Kyoto University, conducting advanced research on structural resilience. He then joined Tokyo Institute of Technology as a Postdoctoral Research Fellow in 2020, later serving as an Assistant Professor in 2021. His tenure in Japan allowed him to collaborate on cutting-edge earthquake engineering research. In 2021, he returned to Tongji University as an Associate Professor, where he continues to advance his research in seismic safety and building performance evaluation. His international academic experience has enhanced his research vision and contributed to significant developments in the field.

Research Interests

Dr. Xiang’s research focuses on aseismic building structures, particularly in response analysis, performance-based design, and structural resilience. He is dedicated to improving seismic safety through innovative design methods that enhance building performance and earthquake resistance. His studies integrate computational simulations, experimental validation, and engineering applications to develop more efficient and robust structural solutions. His research contributes to mitigating earthquake damage and enhancing the durability of buildings in seismic-prone regions. Through interdisciplinary approaches, he aims to bridge the gap between theoretical models and practical construction techniques, ensuring safer and more sustainable urban infrastructures.

Research Skills

Dr. Xiang possesses advanced research skills in structural engineering and seismic analysis. He is proficient in numerical modeling, experimental testing, and performance evaluation of earthquake-resistant buildings. His expertise includes finite element analysis (FEA), structural dynamics, and resilience assessment techniques. He is skilled in using engineering software for structural simulation and seismic analysis, contributing to the development of innovative design strategies. His ability to secure research funding and lead collaborative projects highlights his strong project management and leadership skills. Additionally, his experience in academic publishing and editorial work further strengthens his research capabilities.

Awards and Honors

Dr. Xiang has received multiple prestigious awards recognizing his contributions to structural engineering research. He was awarded the First Prize in Science and Technology by the China Steel Construction Society in 2024, demonstrating his impact in the field. He also received the Special Prize for Science and Technology from the same organization in 2022. Additionally, he was honored with the Second Prize for Research from the Shanghai J.Z. Huang Education Development Foundation in 2023. These accolades reflect his significant contributions to earthquake-resistant building design and structural performance evaluation, establishing him as a leading researcher in his domain.

Conclusion

Dr. Yang Xiang is a distinguished researcher in structural and earthquake engineering, with a strong academic background, international research experience, and significant contributions to seismic safety. His work in performance evaluation and resilience improvement has earned him prestigious awards, major research funding, and recognition from leading academic institutions. With expertise in numerical modeling, experimental testing, and advanced engineering analysis, he continues to push the boundaries of earthquake-resistant design. His editorial roles, research leadership, and commitment to enhancing structural safety position him as a highly qualified candidate for the Best Researcher Award.

Publications Top Notes

  1. Title: Amplitude-dependent modal viscous damping for distributed stick–slip systems

    • Authors: C. He, Chong; F. Sun, Feifei; G. Li, Guoqiang; Y. Xiang, Yang
    • Year: 2024
  2. Title: Quantification of floor seismic response: Formulated PFA for non-classically damped structure and empirical PFV for elasto-plastic structure

    • Authors: S. Guo, Shili; Y. Xiang, Yang; L. Dai, Liusi; G. Li, Guoqiang
    • Year: 2024
  3. Title: Strain amplitude-dependent hardening property of Q235 steel for metallic dampers

    • Authors: Y. Zhong, Yunlong; G. Li, Guoqiang; Y. Xiang, Yang
    • Year: 2024
    • Citations: 2
  4. Title: Multi-objective seismic optimization and evaluation of core-damper-frame tall buildings considering SSI effect

    • Authors: M. Wang, Meng; Y. Xiang, Yang; F. Sun, Feifei; G. Li, Guoqiang
    • Year: 2024
    • Citations: 3
  5. Title: Seismic performance assessment of GFRP-steel double-skin confined rubber concrete composite columns

    • Authors: J. Yan, Jianhuang; J. Wu, Junchao; Y. Xiang, Yang; X. Han, Xue; H. Li, Haifeng
    • Year: 2024
    • Citations: 4

 

Ali Nawaz Sanjrani | Engineering | Best Researcher Award

Assist. Prof. Dr Ali Nawaz Sanjrani | Engineering | Best Researcher Award

Assistant Professor at University of Electronic Science and Technology of China

Dr. Ali Nawaz Sanjrani is a highly accomplished mechanical engineer and academic with over 18 years of interdisciplinary experience in project management, reliability, quality assurance, and health and safety systems. He holds a PhD in Mechanical Engineering from the University of Electronics Science and Technology, China, and specializes in reliability monitoring, diagnostics, and prognostics of complex machinery. Dr. Sanjrani has a strong background in advanced manufacturing processes, lean manufacturing, and machine learning applications in engineering systems. He has served as an Assistant Professor at Mehran University of Engineering and Technology and has contributed significantly to both academia and industry. His research focuses on fluid dynamics, heat transfer, and predictive maintenance using AI-driven models. Dr. Sanjrani has published extensively in high-impact journals and conferences, earning recognition for his innovative approaches to engineering challenges. He is a certified lead auditor in ISO and OHSAS standards and a member of the Pakistan Engineering Council.

Professional Profile

Education

Dr. Ali Nawaz Sanjrani earned his PhD in Mechanical Engineering from the University of Electronics Science and Technology, Chengdu, China, with a CGPA of 3.89/4. His doctoral research focused on reliability monitoring, diagnostics, and prognostics of complex machinery. He completed his M.Engg. in Industrial Manufacturing from NED University, Karachi, with a CGPA of 3.04/4, specializing in lean manufacturing. His undergraduate degree in Mechanical Engineering was obtained from QUEST, Nawabshah, with an aggregate of 70%, specializing in mechanical manufacturing and materials. Throughout his academic journey, Dr. Sanjrani studied advanced courses such as Finite Element Analysis (FEA), Computer-Aided Manufacturing (CAM), Operations Research (OR), and Agile & Lean Manufacturing. His education has equipped him with a strong foundation in both theoretical and practical aspects of mechanical and industrial engineering, enabling him to excel in research, teaching, and industry applications.

Professional Experience 

Dr. Ali Nawaz Sanjrani has over 18 years of professional experience spanning academia, research, and industry. He served as an Assistant Professor at Mehran University of Engineering and Technology, SZAB Campus, from 2016 to 2020, where he specialized in fluid dynamics, heat transfer, and machine learning applications. Prior to this, he worked as a Lecturer at the same institution and as a visiting faculty member at INDUS University, Karachi. In the industry, Dr. Sanjrani was an Engineer in Quality Assurance and Quality Control at DESCON Engineering Works Limited, Lahore, from 2006 to 2011. His roles included implementing ISO standards, conducting audits, and ensuring quality and safety compliance. Dr. Sanjrani has also led research projects in predictive maintenance, reliability engineering, and lean manufacturing, bridging the gap between academic theory and industrial practice. His expertise in project management and integrated management systems has made him a valuable asset in both academic and professional settings.

Awards and Honors

Dr. Ali Nawaz Sanjrani has received numerous accolades for his academic and professional excellence. He was awarded the 3rd Prize in Academic Excellence and Performance Excellence at the University of Electronics Science and Technology, Chengdu, China, in 2024. He secured a fully funded Chinese Government Scholarship (CSC) for his PhD studies in 2020. Dr. Sanjrani was also recognized with an Appreciation Certificate from Karachi Shipyard & Engineering Works for achieving ISO certifications (QMS, EMS, OH&SMS) in 2011. His innovative approach to dismantling a luffing crane earned him an Appreciation Letter from the Managing Director of KSEW in 2013. Additionally, Dr. Sanjrani has been acknowledged for his research contributions through publications in high-impact journals and presentations at international conferences. His achievements reflect his dedication to advancing engineering knowledge and applying it to real-world challenges.

Research Interests

Dr. Ali Nawaz Sanjrani’s research interests lie at the intersection of mechanical engineering, machine learning, and reliability engineering. He specializes in predictive maintenance, diagnostics, and prognostics of complex machinery, particularly in high-speed trains and industrial systems. His work focuses on developing AI-driven models, such as LSTM networks and neural networks, for fault diagnosis and residual life prediction. Dr. Sanjrani is also deeply involved in fluid dynamics, heat transfer, and energy systems, exploring advanced manufacturing processes and lean manufacturing techniques. His research extends to renewable energy systems, including solar power and biogas utilization, as well as dynamic power management in microgrids. By integrating machine learning with traditional engineering practices, Dr. Sanjrani aims to enhance system reliability, efficiency, and sustainability. His interdisciplinary approach bridges the gap between theoretical research and practical applications, making significant contributions to both academia and industry.

Research Skills

  • Machine Learning & AI: Neural Networks, LSTM, Predictive Modeling, Fault Diagnosis.
  • Reliability Engineering: Prognostics, Diagnostics, Residual Life Prediction.
  • Fluid Dynamics & Heat Transfer: Modeling, Simulation, and Analysis.
  • Advanced Manufacturing: Lean Manufacturing, FEA, CAM, Agile Processes.
  • Renewable Energy Systems: Solar Power, Biogas, Microgrids.
  • Software Proficiency: Python, MATLAB, SolidWorks, Auto CAD, FEA Tools.
  • Certifications: ISO 9001, ISO 14001, OHSAS 18001 Lead Auditor.

Conclusion

Dr. Ali Nawaz Sanjrani is a distinguished mechanical engineer and academic with a proven track record in research, teaching, and industry. His expertise in reliability engineering, machine learning, and advanced manufacturing has led to significant contributions in predictive maintenance and system optimization. With numerous publications, awards, and certifications, Dr. Sanjrani continues to push the boundaries of engineering knowledge, applying innovative solutions to real-world challenges. His interdisciplinary approach and dedication to excellence make him a valuable asset in both academic and professional settings.

Publication Top Notes

  1. Ali Nawaz1 – RHSA Based Hybrid Prognostic Model for Predicting Residual Life of Bearing: A Novel Approach – Mechanical Systems and Signal Processing – To be published.
  2. Ali Nawaz1 – Multiparametric Dual Task Multioutput Artificial Neural Network Model for Bearing Fault Diagnosis and Residual Life Prediction in High-Speed Trains – IEEE Transaction of Reliability – To be published.
  3. Ali Nawaz1 – Advanced Learning Interferential ALI-Former: A Novel Approach for Live and Reliable High-Speed Train Bearing Fault Diagnosis – Neural Computing and Applications – To be published.
  4. Ali Nawaz Sanjrani1 – High-Speed Train Bearing Health Assessment Based on Degradation Stages Through Diagnosis and Prognosis by Using Dual-Task LSTM With Attention Mechanism – Quality and Reliability Engineering International Journal WILEY – 2025.
  5. Ali Nawaz Sanjrani3 – Dynamic Temporal LSTM-Seqtrans for Long Sequence: An Approach for Credit Card and Banking Accounts Fraud Detection in Banking System – 2024 21st International Computer Conference on Wavelet Active Media Technology and Information Processing – 2025.
  6. Ali Nawaz Sanjrani1 – High-speed train wheel set bearing analysis: Practical approach to maintenance between end of life and useful life extension assessment – Results in Engineering – 2025.
  7. Ali Nawaz Sanjrani5 – Advanced dynamic power management using model predictive control in DC microgrids with hybrid storage and renewable energy sources – Journal of Energy Storage – 2025.
  8. Ali Nawaz Sanjrani1 – High-Speed Train Health Assessment Based on Degradation Stages and Fault Classification by using Dual Task LSTM with Attention Mechanism – 2024 6th International Conference on System Reliability and Safety Engineering – 2024.
  9. A.N. Sanjrani – A C-band Sheet Beam Staggered Double Grating Extended Interaction Oscillator – 2024 IEEE International Conference on Plasma Science (ICOPS) – 2024.
  10. Ali Nawaz1 – Bearing Health and Safety Analysis to improve the reliability and efficiency of Horizontal Axis Wind Turbine (HAWT) – ESREL 2023 – 2023.
  11. Ali Nawaz2 – Prediction of Remaining Useful Life of Bearings using a Parallel Neural Network – ESREL 2023 – 2023.
  12. Ali Nawaz Sanjrani2 – Performance Improvement through Lean System Case study of Karachi Shipyard & Engineering Works – IEIM 2024 – 2023.
  13. Ali Nawaz Sanjrani3 – Dynamic Performance of Partially Orifice Porous Aerostatic Thrust Bearing – Micromachines – 2021.
  14. Sanjrani; Ali Nawaz2 – Performance Evaluation of Mono Crystalline Silicon Solar Panels in Khairpur, Sind, Pakistan – JOJ Material Science – 2017.
  15. A. N. Sanjrani1 – Utilization of Biogas using Portable Biogas Anaerobic Digester in Shikarpur and Sukkur Districts: A case study – Pakistan Journal of Agriculture Engineering Veterinary Science – 2017.
  16. A. N. Sanjrani1 – Lean Manufacturing for Minimization of Defects in the Fabrication Process of Shipbuilding: A case study – Australian Journal of Engineering and Technology Research – 2017.

 

Hossein Salehzadeh | Civil Engineering | Excellence in Research

Assoc. Prof. Dr. Hossein Salehzadeh | Civil Engineering | Excellence in Research

Senior Lecturer and Researcher at Iran University of Science and Technology, Iran 

Dr. Hossein Salehzadeh is an Associate Professor in the School of Civil Engineering at the Iran University of Science and Technology (IUST). With a Ph.D. in Geotechnics from Manchester University, his expertise encompasses the behavior of carbonate sediments, triaxial testing, and cemented sands. Dr. Salehzadeh has made significant contributions to geotechnical engineering through extensive research, teaching, and consulting. He has been instrumental in designing and constructing Iran’s first national geotechnical centrifuge and has authored numerous publications in esteemed journals. His work not only advances academic understanding but also addresses practical challenges in civil engineering.

Professional Profile

Education

Dr. Salehzadeh’s academic journey began with a Bachelor of Science in Civil Engineering from IUST in 1986, followed by a Master of Science in Soil Mechanics and Foundation Engineering from the same institution in 1991. He then pursued his doctoral studies at Manchester University in the United Kingdom, earning a Ph.D. in Geotechnics in 2000. His doctoral research focused on the behavior of non-cemented and cemented carbonate sands under static and cyclic loading, laying the foundation for his future contributions to geotechnical engineering.

Professional Experience

Since 1993, Dr. Salehzadeh has been a dedicated faculty member at IUST, ascending to the rank of Associate Professor. He has held leadership roles, including Head of the Geotechnical Group since 2003. His professional experience extends beyond academia into consulting, where he has been involved in civil design projects, geotechnical studies of marine exploratory wells, and quality control of significant infrastructure projects such as the Ghomrud water conveyance tunnel. His expertise has been sought in evaluating tunneling methods and preparing national manuals, reflecting his influence on both academic and practical aspects of civil engineering.

Research Interests

Dr. Salehzadeh’s research interests are centered on the mechanics of carbonate sediments, cyclic behavior of soils under wave-induced loading, and the properties of cemented soils. He has a particular focus on marine geotechnics, investigating the unique challenges posed by offshore and coastal environments. His work often involves advanced experimental techniques, including the use of geotechnical centrifuge modeling, to simulate and analyze soil behavior under various loading conditions. This research is crucial for the safe and efficient design of foundations and other structures in marine settings.

Research Skills

Dr. Salehzadeh possesses a robust set of research skills, particularly in experimental geotechnics. He has designed and constructed specialized equipment, such as a large-scale oedometer and a geotechnical centrifuge with a one-meter radius, to facilitate advanced soil testing. His proficiency in triaxial testing, soil stabilization techniques, and the development of national standards for unconfined and direct shear tests underscores his technical expertise. Additionally, his ability to integrate experimental findings with practical applications has been demonstrated through his consulting work on various civil engineering projects.

Awards and Honors

Throughout his career, Dr. Salehzadeh has been recognized for his contributions to geotechnical engineering. He has authored and translated several books in Persian on topics such as soil mechanics and tunneling, contributing to the education of future engineers. His leadership in designing and building Iran’s first national geotechnical centrifuge stands as a testament to his commitment to advancing research infrastructure in the country. While specific awards and honors are not detailed in the available sources, his professional achievements reflect a career dedicated to excellence in research, teaching, and practical application.

Conclusion

Dr. Hossein Salehzadeh exemplifies a blend of academic rigor, practical experience, and innovative research in geotechnical engineering. His educational background, professional endeavors, and research contributions have significantly impacted both the academic community and the civil engineering industry in Iran. Through his teaching, leadership, and consulting work, Dr. Salehzadeh continues to influence the development of infrastructure and the advancement of geotechnical practices, embodying the role of a dedicated scholar and engineer.

Publication Top Notes

  1. “Evaluating scale effects in the modeling of buried offshore pipes in Chabahar carbonate sand using centrifuge testing”

    • Authors: H. Salehzadeh, A.A. Heshmati R, M. Aani
    • Year: 2024
  2. “Effect of non-plastic marine silt on physical and mechanical properties of Konarak carbonate sand”

    • Authors: H. Salehzadeh, A.A. Heshmati R, A. Karimabadi
    • Year: 2024
    • Citations: 1
  3. “Investigating the cyclic behavior of Konarak carbonate sand–silt mixtures: An energy-based approach”

    • Authors: H. Salehzadeh, A.A. Heshmati R, A. Karimabadi
    • Year: 2024
  4. “New critical state constitutive model considering particle breakage implicitly for uncemented carbonate sands”

    • Authors: S. Shakeri Talarposhti, A.A. Heshmati, H. Salehzadeh
    • Year: 2024