Xiaoqing Tian | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Xiaoqing Tian | Engineering | Best Researcher Award

Hangzhou Dianzi University | China

Dr. Xiaoqing Tian is an accomplished academic and researcher currently serving as an Associate Professor at the School of Mechanical Engineering, Hangzhou Dianzi University, China. With a strong foundation in hydrodynamics and its applications, she has made significant contributions to the development of underwater vehicles, propeller systems, and marine engineering innovations. Her educational background combines rigorous training in fluid machinery, mechanical engineering, and international research exposure, enabling her to integrate theoretical knowledge with practical technological advancements. Dr. Tian’s research excellence is evidenced by her extensive portfolio of patents, including more than ten granted patents such as a U.S. and Luxembourg patent, along with over twenty high-quality publications in peer-reviewed journals. Her work emphasizes hydrodynamic optimization, underwater robotics, and environmental applications, fostering solutions that bridge engineering challenges with sustainable maritime practices. Beyond her academic achievements, she has been recognized as a Zhejiang Province Overseas High-level Talent, a D-type Talent of Zhejiang Province, and a Qiantang Scholar of Hangzhou, reflecting her influence and leadership in her field. With a career that blends innovation, teaching, and applied research, Dr. Tian stands as a leading figure in advancing the boundaries of marine and mechanical engineering technologies.D

Professional Profile

Scopus Profile | ORCID Profile

Education

Dr. Xiaoqing Tian’s academic journey reflects a progressive and multidisciplinary approach to engineering, combining mechanical, electrical, and hydrodynamic expertise. She began her studies with a Bachelor’s degree in Mechanical & Electrical Engineering from the Henan Institute of Science and Technology, China. where she developed a foundational understanding of integrated engineering systems. Building on this, she earned a Master’s degree in Fluid Machinery and Engineering from the College of Mechanical Engineering at Hangzhou Dianzi University, China. focusing on fluid dynamics and mechanical system design. Her doctoral studies at the College of Water Conservancy and Hydropower Engineering, Hohai University, China. centered on advanced topics in fluid machinery and engineering, deepening her expertise in hydrodynamic modeling and marine applications. Notably, between, she conducted international research at the University of Helsinki, Finland, specializing in hydrodynamics and its environmental applications. This overseas experience broadened her perspective, allowing her to collaborate with global experts and explore the cross-disciplinary impacts of fluid mechanics on environmental science. Collectively, her academic background equips her with the technical knowledge, analytical skills, and global outlook necessary to address complex engineering challenges in both theoretical and applied contexts.

Professional Experience

Dr. Xiaoqing Tian has built an impressive professional career that blends teaching, research, and innovation in marine and mechanical engineering. Since December, she has served as a Lecturer and later an Associate Professor at the School of Mechanical Engineering, Hangzhou Dianzi University, China, where she teaches core engineering subjects, supervises graduate students, and leads research projects in hydrodynamics and underwater vehicle design. Her role involves both academic instruction and the development of innovative technologies aimed at solving practical engineering problems. she expanded her research portfolio through a postdoctoral position at the Ocean College, Zhejiang University, China, where she worked on advanced projects involving underwater robotics, propulsion systems, and hydrodynamic performance optimization. she undertook international research at the Department of Environmental Sciences, University of Helsinki, Finland, focusing on hydrodynamics applications in environmental and water systems. This combination of domestic and international experience has enabled her to cultivate a global research network, collaborate on interdisciplinary projects, and translate academic research into real-world engineering solutions. Her professional trajectory reflects a dedication to advancing knowledge while fostering innovation in marine engineering technology.

Research Interests

Dr. Xiaoqing Tian’s research interests span a wide range of topics in hydrodynamics, marine engineering, and mechanical design, with a strong emphasis on practical applications in underwater technologies. Her primary focus lies in the optimization of hydrodynamic performance for underwater vehicles and propulsion systems, including autonomous underwater vehicles (AUVs) and towed bodies. She is particularly interested in the integration of computational fluid dynamics (CFD) simulations with experimental testing to enhance propulsion efficiency, stability, and maneuverability. Her work also explores the development of novel propeller designs and hydrophobic coatings to improve performance in marine environments. Beyond vehicle propulsion, Dr. Tian investigates underwater sensing systems, such as magnetometer-equipped towed bodies, to support oceanographic surveys and environmental monitoring. She is also engaged in research on water quality improvement technologies, including artificially induced downwelling aeration systems. Her interdisciplinary approach allows her to bridge mechanical engineering principles with environmental science applications, ensuring that her innovations contribute to both technological advancement and sustainable marine resource management. By combining numerical modeling, prototype development, and field testing, Dr. Tian addresses real-world maritime challenges while advancing the scientific understanding of hydrodynamic systems.

Research Skills

Dr. Xiaoqing Tian possesses a robust set of research skills that enable her to conduct high-quality and impactful studies in marine and mechanical engineering. Her expertise includes hydrodynamic modeling, propeller performance analysis, and underwater vehicle design, supported by advanced use of computational fluid dynamics (CFD) tools. She has strong capabilities in designing and optimizing propulsion systems, integrating novel features such as hydrophobic coatings and guide flow devices to enhance efficiency. Dr. Tian is experienced in the development and testing of underwater towed bodies, including those equipped with environmental sensing devices like magnetometers. Her skills extend to mechanical system prototyping, laboratory experimentation, and large-scale field trials, ensuring that her work bridges theoretical models with real-world performance. In addition to technical competencies, she is proficient in patent development, having secured more than ten patents, including international ones, as the first inventor. Her research methodology combines creativity, precision, and multidisciplinary collaboration, enabling her to work across engineering, oceanography, and environmental science domains. Furthermore, her ability to manage complex projects, lead research teams, and publish extensively in high-impact journals underscores her effectiveness as both a scientist and innovator in her field.

Awards and Honors

Dr. Xiaoqing Tian’s contributions to marine and mechanical engineering have been recognized through several prestigious awards and honors, reflecting her status as a leading expert in her field. She has been named a Zhejiang Province Overseas High-level Talent, a designation awarded to individuals who have made significant contributions to scientific and technological innovation while fostering international collaboration. Additionally, she has been recognized as a D-type Talent of Zhejiang Province, highlighting her role in advancing regional research and innovation capacity. Her designation as a Qiantang Scholar of Hangzhou further underscores her academic excellence, leadership, and contributions to the local and national engineering community. These honors not only acknowledge her individual achievements but also her commitment to mentoring young researchers, driving technological progress, and addressing real-world engineering challenges. They also serve as a testament to her ability to integrate high-level research with societal impact, aligning her professional work with broader goals in innovation, sustainability, and economic development. Collectively, these awards solidify Dr. Tian’s reputation as a respected scholar, inventor, and leader within the global marine engineering research community.

Publication Top Notes

1. Calibration-free optical wave guide bending sensor for soft robots, 2025
2. Study on the hydrodynamic characteristics of an outboard engine propeller with hydrophobic coating, 2025
3. Laboratory Investigations on Parametric Configurations of Artificially Down welling Aerations in Stratified Water, 2023
4. Study on the Resistance of a Large Pure Car Truck Carrier with Bulbous Bow and Transom Stern, 2023
5. Numerical verification for a new type of UV disinfection reactor, 2020

Conclusion

In conclusion, Dr. Xiaoqing Tian embodies the qualities of an accomplished researcher, innovative engineer, and dedicated academic. Her career reflects a deliberate and consistent pursuit of excellence across multiple dimensions — from education and professional development to research innovation and community engagement. With an extensive academic background in fluid machinery, mechanical engineering, and hydrodynamics, complemented by valuable international research experience, she has developed a skill set that is both technically advanced and globally informed. Her work on underwater vehicle systems, propeller optimization, and environmental hydrodynamics demonstrates a unique ability to merge scientific insight with practical engineering solutions. The numerous patents and peer-reviewed publications she has produced serve as evidence of her commitment to technological advancement, while her awards and honors confirm her leadership in the field. Beyond her technical achievements, Dr. Tian contributes to the growth of future engineers through teaching, mentorship, and research collaboration. Looking ahead, she remains committed to expanding the frontiers of marine engineering research, promoting sustainable innovation, and making meaningful contributions to both the academic community and society at large. Her professional journey serves as an inspiring model for aspiring scientists and engineers worldwide.

Majid Dashti Barmaki | Engineering | Best Researcher Award

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Mr. Majid Dashti Barmaki | Engineering | Best Researcher Award

Water Resource Expert from Kharazmi University of Tehran, Iran

Majid Dashti Barmaki is a distinguished Iranian hydrogeologist with over 15 years of combined academic, industrial, and research experience. he has consistently contributed to the understanding and development of groundwater systems, karst hydrogeology, water quality assessment, and geospatial modeling. With advanced degrees in geology and hydrogeology from prestigious Iranian institutions such as Shiraz University and Kharazmi University, Dr. Barmaki has developed a rich body of work encompassing both theoretical insight and practical application. His scholarly output includes over 20 peer-reviewed international and national articles in journals from Springer, Taylor & Francis, Elsevier, Wiley, and the Geological Society of London. His work bridges geology, environmental science, and engineering, highlighting an interdisciplinary approach. He has also provided expert consultancy in water resources projects such as tunnel hydrogeology, aquifer balance, and land subsidence analysis. Through workshops, university lectures, and research mentoring, he has shaped many young professionals in Earth sciences. Dr. Barmaki’s continuous efforts to improve groundwater sustainability in arid regions, coupled with his active role in environmental planning, position him as a significant contributor to the hydrogeological field. His expertise is currently sought globally as he seeks opportunities to further his impact in academic and industrial research worldwide.

Professional Profile

Education

Majid Dashti Barmaki has an extensive academic background in Earth Sciences, with a focused specialization in hydrogeology. He earned his Bachelor’s degree in Geology from Shiraz University in 2006, where he laid the foundational knowledge of Earth systems. He pursued his Master of Science degree at Kharazmi University (formerly Tarbiat Moallem University) in Tehran from 2007 to 2010, focusing on Hydrogeology. His MSc thesis applied GIS and remote sensing techniques to assess karst groundwater potential in anticline structures, reflecting his early interest in integrating geospatial tools with hydrogeological modeling. Continuing at Kharazmi University, he obtained his Ph.D. in Karst Hydrogeology from 2011 to 2019. His doctoral research examined karst development factors affecting the Asmari Formation in the Zagros Mountains, one of Iran’s critical aquifer systems. His education is not only academically sound but also application-oriented, as demonstrated by his emphasis on GIS, statistical analysis, and environmental assessment in groundwater sciences. This strong academic trajectory, enriched with practical thesis topics, has prepared him for high-level consultancy, teaching, and research roles in both national and international hydrogeology-focused projects.

Professional Experience

Dr. Majid Dashti Barmaki brings over 15 years of diverse professional experience as a hydrogeologist, academic, and consultant. His career spans collaborations with leading Iranian consulting engineering companies such as Fannavaran Tarh-e-Jamea, Sahel Consulting Engineers, Dezab, Rayab, and others, where he specialized in water resource assessments for tunnel projects, land subsidence studies, and environmental monitoring. Notably, he served as a key hydrogeology expert for major tunnel excavation projects, evaluating groundwater inflow, hydrological impacts, and tunnel pressure loads. From 2012 to 2025, he also worked in national-level research and implementation projects related to groundwater sustainability, illegal well monitoring, and surface water drainage systems. His academic involvement includes teaching several university courses such as surveying, statistics for geology, map reading, and soil geography. He has also conducted workshops on GIS applications at Kharazmi University. His long-standing fieldwork expertise is evident in the detailed hydrogeological profiles he has generated and the policy-relevant environmental assessments he has contributed to. His leadership in multi-year projects showcases his capability to manage complex hydrological systems and deliver data-driven solutions. Through his multifaceted experience, Dr. Barmaki has effectively bridged academic theory with engineering practice in Iran’s most critical water management initiatives.

Research Interest

Dr. Majid Dashti Barmaki’s research interests lie at the intersection of groundwater hydrogeology, karst systems, environmental geochemistry, and spatial modeling. A central theme of his work is the assessment and management of karst aquifers, particularly within the Zagros region, one of Iran’s most hydrogeologically significant landscapes. He is deeply invested in understanding how geological structures influence groundwater flow and the vulnerability of aquifers to pollution and overexploitation. His research extends to groundwater quality evaluation using health risk assessments, pollution indices, and fuzzy logic systems. He has also explored fractal geometry and geostatistical kriging methods to identify groundwater potential zones. Another significant domain of his research includes the integration of remote sensing and GIS techniques with hydrogeological mapping to model water resources and assess land subsidence risks. His academic output reflects a multidisciplinary approach, combining environmental science, engineering, and computer-based modeling. His more recent studies have addressed environmental impacts from mining and tunneling operations, with a focus on sustainable water resource planning. Overall, Dr. Barmaki’s research aims to create actionable insights that support water security, climate resilience, and ecological sustainability in arid and semi-arid regions.

Research Skills

Dr. Majid Dashti Barmaki possesses a comprehensive set of research skills that span hydrogeology, environmental assessment, GIS-based analysis, and statistical modeling. His expertise includes groundwater flow modeling, aquifer characterization, and water quality analysis using advanced techniques such as fuzzy inference systems, fractal analysis, and risk indexing. He is proficient in using hydrogeological software like PhreeQC, Aq-Qa, Aquachem, RockWare, Aquifer Test, and GMS, which are essential for conducting water chemistry evaluations and aquifer simulations. His geospatial analysis skills are advanced, with capabilities in ArcGIS, ENVI, ILWIS, Global Mapper, and SASPlanet. He has employed multi-criteria decision-making models such as AHP and fuzzy logic to evaluate groundwater vulnerability and land subsidence. He is also experienced in laboratory hydrogeochemistry, data visualization, and the development of hydrogeological cross-sections. Beyond technical tools, he is adept at conducting fieldwork, designing surveys, managing databases, and preparing high-quality research reports and environmental assessments. His ability to combine statistical tools like SPSS with field-based insights allows for holistic environmental and geological interpretations. These diverse research competencies have enabled him to contribute to multi-institutional projects and publish in leading international journals in the geosciences and environmental engineering fields.

Awards and Honors

While Dr. Majid Dashti Barmaki’s professional profile does not list formal awards, his distinguished achievements and contributions reflect recognition through impactful roles and scholarly publications. His articles have appeared in prestigious journals such as Arabian Journal of Geosciences, Geocarto International, Water and Environment Journal, and Quarterly Journal of Engineering Geology and Hydrogeology, showcasing international peer-reviewed validation of his research. His invited participation in multiple national geological conferences in Iran—such as the Geological Society of Iran’s annual meetings—demonstrates academic endorsement and thought leadership. He has also led and contributed to high-stakes national and industrial projects under the Iranian Ministry of Energy and regional water authorities. These responsibilities entrusted to him reflect implicit recognition of his expertise in hydrogeology and environmental planning. Additionally, his teaching roles, workshops, and project supervision illustrate institutional trust in his academic capabilities. Although he may not have been conferred with traditional awards or honors, his consistent involvement in nationally significant water resource studies and publication in high-impact journals affirms his status as a respected researcher and professional in the field of hydrogeology.

Conclusion

Dr. Majid Dashti Barmaki stands out as a highly competent and impactful researcher in the field of hydrogeology. His academic journey—from undergraduate geology to a Ph.D. in karst hydrogeology—has been marked by a strong commitment to applied science, innovation, and sustainable groundwater management. With over a decade of professional engagement in both academic and industry environments, he has consistently addressed key water resource challenges in Iran. His research, which integrates field studies, GIS tools, statistical models, and advanced hydrogeological software, is practical, data-driven, and environmentally conscious. His publication record in leading journals and active participation in major national water and environmental projects reflect a deep expertise and a collaborative spirit. He has also contributed to knowledge transfer through teaching, workshops, and mentoring, proving himself as an educator and thought leader. As global water security becomes an increasing concern, professionals like Dr. Barmaki—who combine technical depth with societal relevance—are essential. His readiness to engage in international collaborations and continue his impactful work on a global scale makes him a deserving candidate for any recognition or opportunity aimed at honoring excellence in hydrogeological research and sustainable development.

Publications Top Notes

  1. Hydrogeochemical characteristics of cold and warm (hot) springs in the Mahallat geothermal region, Iran
    Authors: Majid Dashti Barmaki, Davar Ebrahimi, Zahra Yazdani Noori
    Journal: Quarterly Journal of Engineering Geology and Hydrogeology
    Year: 2025

  2. Land subsidence susceptibility mapping using Analytical Hierarchy Process (AHP) and Certain Factor (CF) models at Neyshabur plain, Iran
    Authors: Rezaei M., Yazdani Noori Z., Dashti Barmaki M.
    Journal: Geocarto International
    Year: 2020

  3. Use of fractal dimensions analysis in geographic information system and remote-sensing techniques to identify groundwater prospective zones in the Anar-Dashtegol anticline, Iran
    Authors: M. Dashti Barmaki, M. Rezaei, S. Madadi
    Journal: Carbonates and Evaporites
    Year: 2020

  4. Water chemistry and water quality pollution indices of heavy metals: a case study of Chahnimeh Water Reservoirs, Southeast of Iran
    Authors not fully listed
    Journal: International Journal of Energy and Water Resources
    Year: 2020

  5. Comparison of surface and interior karst development in Zagros Karst Aquifers, Southwest Iran
    Authors: Majid Dashti Barmaki
    Journal: Journal of Cave and Karst Studies
    Year: 2019

  6. Qanat, a technique appropriate for extracting water from hard rock terrains: the case study of Bilvar district, Kurdistan, Iran
    Author: Majid Dashti Barmaki
    Journal: International Journal of Hydrology Science and Technology
    Year: 2017

  7. Extracting of prospective groundwater potential zones using remote sensing data, GIS, and a probabilistic approach in Bojnourd basin, NE of Iran
    Authors: Majid Dashti Barmaki
    Journal: Arabian Journal of Geosciences
    Year: 2017

  8. Recognition of karst hydrology and water resources interaction in Kazerun Karstic Zones, South of Iran
    Authors: Majid Dashti Barmaki
    Journal: Arabian Journal of Geosciences
    Year: 2016

  9. Groundwater contamination analysis using Fuzzy Water Quality index (FWQI): Yazd province, Iran
    Authors: Majid Dashti Barmaki
    Journal: Geopersia
    Year: 2013

  10. Analysis of Groundwater Quality using Mamdani Fuzzy Inference System (MFIS) in Yazd province, Iran
    Authors: Majid Dashti Barmaki
    Journal: International Journal of Computer Applications
    Year: 2012

Snekhalatha Umapathy | Engineering | Excellence in Research Award

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Prof. Dr. Snekhalatha Umapathy | Engineering | Excellence in Research Award

Professor and Head from SRM Institute of Science and Technology, India

Dr. Snekhalatha Umapathy is a distinguished Professor in the Department of Biomedical Engineering at SRM Institute of Science and Technology. With a research career spanning over a decade, she has made substantial contributions to biomedical instrumentation, biosensors, medical image and signal processing, and artificial intelligence applications in healthcare. She has authored over 145 publications, including 55 in SCI-indexed journals and 54 in the Web of Science, showcasing her consistent academic productivity. Her research is highly interdisciplinary, integrating engineering, medicine, and advanced computing techniques. Dr. Umapathy’s work has led to the granting of five patents and the publication of three more, underscoring her commitment to innovation and translational research. She has successfully supervised six Ph.D. scholars and continues to mentor three more, indicating her dedication to academic leadership and student development. Her most recent studies focus on quantum machine learning and wearable biosensors, areas of increasing importance in personalized medicine. Through her extensive involvement in international conferences, book publications, and impactful journals, she maintains a strong academic presence. Overall, Dr. Umapathy stands out as a highly accomplished researcher whose work bridges fundamental research and clinical application, positioning her as a leading expert in the biomedical engineering domain.

Professional Profile

Education

Dr. Snekhalatha Umapathy’s academic background is rooted in a strong foundation in engineering and interdisciplinary science. She pursued her higher education in fields that aligned closely with biomedical innovation, integrating elements of electronics, instrumentation, and life sciences. Although specific degree titles and institutions are not listed here, her progression to a professorial role and active research leadership indicates the successful completion of undergraduate and postgraduate degrees in relevant engineering disciplines, followed by a doctorate (Ph.D.) in a field closely related to biomedical engineering. Her educational pathway has allowed her to explore the integration of engineering principles with human physiology, medical diagnostics, and therapeutic technologies. Through rigorous training and advanced coursework, she has developed specialized expertise in areas such as biosensor technology, medical imaging, signal processing, and artificial intelligence applications in medicine. This academic training has been critical in enabling her to publish in high-impact journals, supervise doctoral research, and secure patents in the biomedical technology space. Her educational journey reflects both depth and diversity, providing her with the tools necessary to contribute meaningfully to multidisciplinary research and academic mentorship within the global biomedical engineering community.

Professional Experience

Dr. Snekhalatha Umapathy currently serves as a Professor in the Department of Biomedical Engineering at SRM Institute of Science and Technology, a role that reflects her vast academic experience and leadership capabilities. Over the years, she has played a pivotal role in driving research innovation, mentoring students, and establishing industry-academic linkages within the university setting. Her responsibilities include supervising doctoral scholars, delivering advanced courses in biomedical instrumentation and AI in healthcare, and leading funded research initiatives. With more than 145 publications and several patents to her name, she has consistently demonstrated a capacity to translate academic inquiry into practical, real-world applications. In addition to her research and teaching duties, she actively participates in organizing conferences, delivering keynote addresses, and collaborating with interdisciplinary teams for technological development. Her professional experience extends beyond academia, encompassing collaborative projects with clinicians, engineers, and researchers to design medical devices and diagnostic systems. Dr. Umapathy’s work ethic, combined with her technical insight and administrative contributions, positions her as a highly effective academic leader. Her commitment to fostering innovation and knowledge transfer has not only elevated the research profile of her department but has also contributed significantly to the broader biomedical engineering landscape in India.

Research Interests

Dr. Snekhalatha Umapathy’s research interests lie at the intersection of engineering, healthcare, and computational science. Her primary focus areas include biosensors, point-of-care diagnostic devices, biomedical signal and image processing, and the integration of deep learning and quantum machine learning techniques into healthcare applications. She is particularly interested in developing non-invasive diagnostic tools and wearable biosensors that can monitor biomarkers for diseases such as diabetes, chronic kidney disease, and Alzheimer’s. Her work in medical image processing includes automated classification and detection using AI, contributing to early diagnosis and improved patient outcomes. Dr. Umapathy also explores the use of novel materials, such as graphene-based sensors, in creating affordable and scalable healthcare solutions. A forward-thinking researcher, she is actively investigating the potential of quantum machine learning algorithms to enhance the accuracy and efficiency of medical diagnostic systems. By bridging the gap between technology development and clinical utility, her research addresses pressing global health challenges while contributing to the scientific advancement of biomedical instrumentation and artificial intelligence. Her interdisciplinary approach allows for innovative problem-solving and has led to significant academic recognition, industry relevance, and translational impact.

Research Skills

Dr. Snekhalatha Umapathy possesses a rich array of research skills that position her as a leader in the field of biomedical engineering. She is highly skilled in advanced signal and image processing techniques, enabling her to extract meaningful data from complex physiological signals and imaging modalities. Her expertise in deep learning, convolutional neural networks (CNNs), and machine learning allows her to develop predictive models for disease diagnosis, particularly in applications such as Alzheimer’s detection and rheumatoid arthritis classification. She is also proficient in working with quantum computing frameworks to apply quantum machine learning techniques, which is a highly specialized and emerging area in medical diagnostics. In the laboratory, she demonstrates strong capabilities in biosensor design, materials characterization, and experimental modeling, especially in breath analysis using graphene-based sensor arrays. Dr. Umapathy’s analytical and programming skills extend to MATLAB, Python, and simulation tools used in biomedical signal modeling. In addition, she is experienced in writing grant proposals, publishing scholarly articles, and securing intellectual property rights through patents. Her collaborative approach and project management skills further enhance her ability to lead multidisciplinary teams and contribute meaningfully to high-impact, solution-oriented research.

Awards and Honors

Dr. Snekhalatha Umapathy has been recognized for her academic and research contributions through several awards and honors, although the specific names of the awards are not listed in the provided details. The granting of five patents and the publication of three more reflects her recognition as an innovator in biomedical technology. Her consistent presence in high-impact journals such as Scientific Reports, Analytical Chemistry, and Biomedical Signal Processing and Control suggests acknowledgment by the global academic community. Additionally, her role as a Ph.D. supervisor and her involvement in international conferences and book publications are indicators of her esteemed position in the academic world. It is highly likely that she has received internal and external recognition from academic institutions, professional societies, and funding agencies for her work. Dr. Umapathy’s interdisciplinary research combining AI, biosensing, and biomedical instrumentation places her at the forefront of emerging health technologies. These honors not only validate her research excellence but also serve as an inspiration for future scholars in the field. Her achievements in innovation, publication, and mentoring further solidify her reputation as a leading academic figure in biomedical engineering.

Conclusion

Dr. Snekhalatha Umapathy exemplifies excellence in biomedical engineering through her innovative research, prolific publication record, and dedication to academic mentorship. Her work spans crucial areas such as biosensor development, AI-driven diagnostics, and quantum machine learning, addressing some of the most pressing healthcare challenges of our time. With a robust portfolio of SCI-indexed publications, multiple patents, and successful Ph.D. supervisions, she embodies the qualities of a high-impact researcher. Her collaborative and interdisciplinary approach ensures her work remains both scientifically rigorous and practically relevant. Dr. Umapathy’s research not only advances academic knowledge but also holds tangible benefits for clinical practice and public health. She has established herself as a thought leader, mentor, and innovator who is shaping the future of biomedical research and education. As the healthcare landscape evolves toward personalized and technology-driven care, her contributions are poised to play an influential role. Her candidacy for any prestigious research award, including the Excellence in Research Award, is not only well justified but highly recommended. Her continued dedication to innovation, education, and societal impact makes her a beacon of research excellence in India and beyond.

Publications Top Notes

  • Title: Artificial intelligence-based automated detection of rheumatoid arthritis

  • Title: Computer-aided diagnosis of early-stage Retinopathy of Prematurity in neonatal fundus images using artificial intelligence
    Journal: Biomedical Physics and Engineering Express
    Year: 2025

  • Title: CNN Transformer for the Automated Detection of Rheumatoid Arthritis in Hand Thermal Images
    Citations: 1

  • Title: Artificial intelligence based real time colorectal cancer screening study: Polyp segmentation and classification using multi-house database
    Journal: Biomedical Signal Processing and Control
    Year: 2025
    Citations: 15

  • Title: Corrigendum: Early detection of Alzheimer’s disease in structural and functional MRI
    Journal: Frontiers in Medicine
    Year: 2024

  • Title: Design and Development of Portable Body Composition Analyzer for Children
    Journal: Diagnostics
    Year: 2024

  • Title: ADVANCING COLORECTAL POLYP DETECTION: AN AUTOMATED SEGMENTATION APPROACH WITH COLRECTSEG-UNET
    Authors: [Not specified]
    Journal: Biomedical Engineering Applications Basis and Communications
    Year: 2024
    Citations: 4

  • Title: Tongue image fusion and analysis of thermal and visible images in diabetes mellitus using machine learning techniques
    Journal: Scientific Reports
    Year: 2024
    Citations: 8

  • Title: Exploring Reduction Techniques for Graphene Oxide: A Comparative Study of Thermal and Chemical Methods
    Journal: Chemistry Select
    Year: 2024
    Citations: 1

  • Title: RA-XTNet: A Novel CNN Model to Predict Rheumatoid Arthritis from Hand Radiographs and Thermal Images: A Comparison with CNN Transformer and Quantum Computing
    Journal: Diagnostics
    Year: 2024
    Citations: 4

Premalatha Santhanamari | Engineering | Best Researcher Award

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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.

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

MARIO ORESTES AGUIRRE GONZALEZ | Engineering | Best Researcher Award

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Prof. MARIO ORESTES AGUIRRE GONZALEZ | Engineering | Best Researcher Award

Professor at Federal University of Rio Grande do Norte, Brazil

Mario Orestes Aguirre González is an accomplished academic and researcher in the field of production engineering, with expertise in product innovation, process optimization, and renewable energy systems. He holds a Ph.D. in Production Engineering with a focus on customer integration in product development from the Universidade Federal de São Carlos (UFSCar), Brazil. As an Associate Professor at the Federal University of Rio Grande do Norte (UFRN), he has significantly contributed to academic development and industry collaborations. Mario leads the CREATION research group, focusing on renewable energy value chains, including wind, solar, and hydrogen. His research is widely published in high-impact journals such as Journal of Cleaner Production and Energy Policy. He is also an active member of national and international energy committees, contributing to strategic initiatives in green hydrogen development.

Professional Profile

Education

Mario Orestes Aguirre González’s educational background is diverse and distinguished. He earned a Ph.D. in Production Engineering from UFSCar in 2010, specializing in customer integration in product development. Prior to that, he completed his Master’s degree in Production Engineering at UFRN in 2005, focusing on customer satisfaction and loyalty in the hospitality industry. He also holds a Bachelor’s degree in Industrial Engineering from the Universidad Nacional de Ingeniería, Peru, which he obtained in 2000. He has pursued specialized training in areas such as total quality management, innovation management, offshore renewable energy systems, and intellectual property. This robust educational foundation has equipped him with a multidisciplinary perspective essential for tackling complex challenges in engineering and innovation.

Professional Experience

Mario has held various impactful positions throughout his career. He is currently an Associate Professor at UFRN, where he teaches and conducts research in product engineering, innovation management, and global value chain coordination. He has previously served as President of the Institute for Innovation and Product Development Management (IGDP) and coordinated significant national conferences and workshops. Mario has also worked on industry-oriented projects with leading companies such as ABM, Vale, and Volkswagen, through the Materials Characterization and Development Center at UFSCar. His contributions extend to academic administration, serving as the vice-coordinator and coordinator of graduate programs at UFRN, and as an editor for Product: Management & Development.

Research Interests

Mario’s research interests are rooted in innovation, process optimization, and renewable energy systems. He is dedicated to advancing knowledge in global value chain integration for green technologies, with a particular focus on wind, solar, and hydrogen energy. His work explores product and process innovation, leveraging interdisciplinary approaches to optimize industrial and operational processes. Through his leadership of the CREATION research group, Mario investigates sustainable energy solutions, contributing to the development of efficient and innovative production systems. He is also committed to fostering the link between academia and industry, ensuring practical applicability and societal impact of his research.

Research Skills

Mario possesses extensive research skills in production and process engineering, including the development of reference models, customer integration, and quality management. He is proficient in utilizing advanced methodologies such as Six Sigma DMAIC, regression models, and risk analysis to drive innovation and efficiency. Mario’s technical expertise spans renewable energy technologies, such as offshore wind and solar power systems, as well as green hydrogen development. His skills in project management, interdisciplinary collaboration, and scholarly writing have enabled him to produce impactful research published in high-impact journals. Additionally, he has strong capabilities in mentoring graduate students and fostering industry-academic partnerships.

Awards and Honors

Mario’s academic and professional achievements have been recognized through numerous awards and honors. He is a CNPq Productivity Research Fellow (Level 2), highlighting his significant contributions to Brazilian research. He received scholarships from CAPES for his doctoral and master’s studies, reflecting his academic excellence. As President of the IGDP, he was instrumental in organizing national events that fostered innovation and collaboration. He has also been acknowledged for his pioneering efforts in renewable energy research, including his active role in the National Hydrogen Program. His diverse recognitions underscore his leadership, academic rigor, and commitment to advancing innovation in engineering.

Conclusion

Mario Orestes Aguirre González is a strong candidate for the Best Researcher Award. His extensive contributions to production engineering, renewable energy innovation, and academic leadership, combined with impactful publications and industry collaborations, make him a well-rounded and deserving nominee. Strategic efforts to enhance international engagement and intellectual property outputs could further elevate his profile in the global research community.

Publication Top Notes

  1. Offshore Wind Power Growth and Industrial Development in Emerging Markets
    • Authors: González, M.; Santiso, A.; Jones, D.; Vasconcelos, R.; Melo, D.
    • Year: 2024
    • Citations: 0
  2. Maturity Model for Sustainability Assessment of Chemical Analyses Laboratories in Public Higher Education Institutions
    • Authors: Souza, M.A.; González, M.O.A.; Pinho, A.L.S.D.
    • Year: 2024
    • Citations: 3
  3. Technology Mapping of Direct Seawater Electrolysis Through Patent Analysis
    • Authors: Medeiros Araújo de Moura, L.C.; Orestes Aguirre González, M.; de Oliveira Ferreira, P.; Gonçalves Vasconcelos Sampaio, P.
    • Year: 2024
    • Citations: 4
  4. Factors Influencing the Decision-Making Process at the End-of-Life Cycle of Onshore Wind Farms: A Systematic Review
    • Authors: Agra Neto, J.; González, M.O.A.; Castro, R.L.P.D.; Souza, L.H.D.; Cabral, E.L.D.S.
    • Year: 2024
    • Citations: 0
  5. Evaluation of Technological Development of Hydrogen Fuel Cells Based on Patent Analysis
    • Authors: Moura, L.; González, M.; Silva, J.; Ferreira, P.; Sampaio, P.
    • Year: 2024
    • Citations: 1
  6. Lean Development and Its Impacts on the Performance of New Product Processes: An Analysis of Innovative Brazilian Companies
    • Authors: de Toledo, J.C.; Pinheiro, L.M.P.; Poltronieri, C.F.; Barbalho, S.; González, M.O.A.
    • Year: 2023
    • Citations: 4
  7. Analysis of the Impact of Communication Campaigns Under the Project “Syphilis No”: A National Tool for Inducing and Promoting Health
    • Authors: Paiva, J.C.D.L.; Dias-Trindade, S.; Gonzalez, M.O.A.; Barbalho, I.M.P.; Valentim, R.A.D.M.
    • Year: 2022
    • Citations: 2
  8. Environmental Licensing for Offshore Wind Farms: Guidelines and Policy Implications for New Markets
    • Authors: Vasconcelos, R.M.D.; Silva, L.L.C.; González, M.O.A.; Santiso, A.M.; de Melo, D.C.
    • Year: 2022
    • Citations: 13
  9. A Review on Organic Photovoltaic Cell
    • Authors: Sampaio, P.G.V.; González, M.O.A.
    • Year: 2022
    • Citations: 28
  10. Contact Points Between Lean Six Sigma and Industry 4.0: A Systematic Review and Conceptual Framework
    • Authors: Sordan, J.E.; Oprime, P.C.; Pimenta, M.L.; Silva, S.L.; González, M.O.A.
    • Year: 2022
    • Citations: 31

 

Tran Thi Bich Chau Vo | Engineering | Innovation Excellence Award

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Ms. Tran Thi Bich Chau Vo | Engineering | Innovation Excellence Award

Ph.D Candidate of National Kaohsiung University of Science and Technology, Taiwan.

Tran Thi Bich Chau Vo is a lecturer at Can Tho University, Vietnam, specializing in Industrial Engineering and Management. She has a diverse professional background, including her role as Head of Research and Development at Thanhcong Textile Garment Investment Trading JSC and as a staff member at Garment Fashion Limited. Currently pursuing a Ph.D. at the National Kaohsiung University of Science and Technology in Taiwan, her research focuses on improving process efficiency through workflow reengineering and value stream mapping. She holds a Master’s degree in Industrial and Systems Engineering and a Bachelor’s in Garment Technology and Fashion. Tran has expertise in lean manufacturing, production planning, and optimization, contributing to various research projects and publications. Her work has been recognized in fields such as waste management, aquaculture, and smart manufacturing. Additionally, she has served as a reviewer for international journals and participated in multiple research grants.

Profile

Education

Tran Thi Bich Chau VO is currently pursuing her Ph.D. in Industrial Engineering and Management at the National Kaohsiung University of Science and Technology, Taiwan, with an expected completion date in December 2024. Her Ph.D. research focuses on enhancing processing efficiency through workflow process reengineering, simulation, and value stream mapping. Prior to this, she earned a Master of Engineering in Industrial and Systems Engineering from the Ho Chi Minh City University of Technology, Vietnam National University, in 2014. Her master’s thesis investigated the effects of lean manufacturing on a garment production line. She also holds a Bachelor of Engineering in Garment Technology and Fashion from Ho Chi Minh City University of Technology and Education, which she completed in 2011. Her undergraduate thesis explored improved patterns for production processes. Tran Thi Bich Chau VO’s educational background demonstrates her expertise in industrial management and lean manufacturing practices, positioning her well for academic and industrial leadership.

Professional Experience

Tran Thi Bich Chau VO is a dedicated academic and industry professional with extensive experience in both academia and industrial management. Since August 2014, she has been a Lecturer at the Faculty of Industrial Management at Can Tho University in Vietnam, where she has focused on educating students in production planning, lean manufacturing, and facility layout. Prior to her academic role, she held significant industry positions, including Head of the Research & Development Department at Thanhcong Textile Garment Investment Trading Joint Stock Company from 2012 to 2014. She also worked as a staff member in the Work Study Department at Garment Fashion Limited, honing her skills in industrial systems and operations management. Her professional journey reflects a strong background in industrial engineering and management, with practical experience in improving production efficiency and applying lean methodologies in various sectors.

Research Interest

Tran Thi Bich Chau VO’s research interests focus on industrial engineering, lean manufacturing, and supply chain optimization. She has a keen interest in improving processing efficiency through techniques like workflow process reengineering, value stream mapping, and simulation modeling. Her work primarily explores lean production technologies in various industries, including garment manufacturing, aquaculture processing, and fishery product supply chains. Additionally, she is passionate about environmental sustainability, evidenced by her research on green waste management, smart manufacturing, and material flow cost accounting. Tran has also contributed significantly to digital transformation, particularly in developing digital twin platforms for smart agents in manufacturing. Her research endeavors highlight a strong focus on enhancing operational productivity while reducing waste, aligning with both industrial and environmental goals. Through her academic and practical projects, she aims to bridge the gap between theoretical frameworks and real-world applications, driving innovation in industrial management and sustainable development.

Research Skills

Tran Thi Bich Chau VO demonstrates a wide range of research skills, particularly in industrial engineering, workflow optimization, and lean manufacturing. Her expertise includes the use of advanced simulation tools like Arena, Matlab, Lingo, and Minitab, which she applies to reengineering processes and improving efficiency. Her research projects, such as value stream mapping and genetic algorithm-based optimization, highlight her ability to solve complex problems in supply chain management and production systems. Additionally, her proficiency in interdisciplinary areas like aquaculture and environmental management, evidenced by her work on material flow cost accounting and green waste management, showcases her versatility. She has contributed to numerous publications in top journals, further emphasizing her ability to conduct impactful research. Her skills in reviewing scientific papers and her involvement in international research collaborations reflect her strong analytical capabilities and dedication to advancing both academic and practical applications in industrial engineering.

Award and Recognition

Tran Thi Bich Chau VO has garnered significant recognition for her contributions to industrial engineering, particularly in the fields of workflow process reengineering, simulation, and value stream mapping. She has served as a lead researcher on numerous projects, such as improving the efficiency of Pangasius fillet production and optimizing supply chains in Vietnam’s aquaculture industry. Her expertise has led to her publications being featured in prestigious journals, including Business Process Management Journal, Engineering Management Journal, and Aquaculture. In addition to her academic achievements, Tran Thi Bich Chau has actively contributed to industrial innovations, particularly in the implementation of lean production technologies in various companies. Her role as a reviewer for well-known journals further highlights her standing in the research community. Tran Thi Bich Chau’s leadership in research projects and extensive publication record exemplify her as an innovative and influential figure in industrial engineering and supply chain management.

Conclusion

Tran Thi Bich Chau VO is a strong candidate for the Research for Innovation Excellence Award. Her leadership in innovative projects, extensive research contributions, and interdisciplinary expertise position her well for this honor. Expanding her research into cutting-edge technologies and gaining broader international recognition could further solidify her candidacy.

Publication Top Notes

  1. A comprehensive review of aeration and wastewater treatment
    • Authors: N.T. Nguyen, T.S. Vo, P.L. Tran-Nguyen, K. Kim, T.T.B.C. Vo
    • Year: 2024
    • Citations: 0
  2. A comprehensive review of laser processing-assisted 2D functional materials and their specific applications
    • Authors: T.S. Vo, B. Jeon, V.P.T. Nguyen, T.T.B.C. Vo, K. Kim
    • Year: 2024
    • Citations: 0
  3. Recent Trends of Bioanalytical Sensors with Smart Health Monitoring Systems: From Materials to Applications
    • Authors: T.S. Vo, T. Hoang, T.T.B.C. Vo, V.H. Nguyen, K. Kim
    • Year: 2024
    • Citations: 3
  4. Advances in aeration and wastewater treatment in shrimp farming: emerging trends, current challenges, and future perspectives
    • Authors: N.T. Nguyen, P.L. Tran-Nguyen, T.T.B.C. Vo
    • Year: 2024
    • Citations: 1
  5. Improving processing efficiency through workflow process reengineering, simulation and value stream mapping: a case study of business process reengineering
    • Authors: C.-N. Wang, T.T.B.C. Vo, H.-P. Hsu, N.T. Nguyen, N.-L. Nhieu
    • Year: 2024
    • Citations: 0
  6. Improvement of Manufacturing Process Based on Value Stream Mapping: A Case Study
    • Authors: C.-N. Wang, T.T.B.C. Vo, Y.-C. Chung, Y. Amer, L.T. Truc Doan
    • Year: 2024
    • Citations: 0
  7. Optimal microgrid design and operation for sustainable shrimp farming
    • Authors: N.N. Tien, V.T.T.B. Chau, P.V. Hoan
    • Year: 2023
    • Citations: 0
  8. Risk priority and risk mitigation approach based on house of risk: A case study with aquaculture supply chain in Vietnam
    • Authors: N.T.L. Thuy, V.T.T.B. Chau, H.T. Phong, T.T. Tham
    • Year: 2023
    • Citations: 0
  9. Optimizing New Product Development through a Systematic Integration of Design for Six Sigma (DFSS) and Theory of Inventive Problem Solving (TRIZ)
    • Authors: Y. Amer, L.T.T. Doan, T.T.B.C. Vo
    • Year: 2023
    • Citations: 0
  10. Improving Inventory Time in Production Line through Value Stream Mapping: A Case Study
    • Authors: N.T. Nguyen, T.T.B.C. Vo, P.H. Le, C.-N. Wang
    • Year: 2023
    • Citations: 2