Jeng-Shin Sheu | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Jeng-Shin Sheu | Engineering | Best Researcher Award

National Yunlin University of Science & Technology, Taiwan

Assoc. Prof. Dr. Jeng-Shin Sheu is an accomplished academic and researcher serving as an Associate Professor in the Department of Computer Science and Information Engineering at National Yunlin University of Science and Technology, Taiwan. He earned his B.E. (1995) and M.E. (1997) in Electrical Engineering from National Yunlin University of Science and Technology and completed his Ph.D. in Electrical Engineering at National Chung Cheng University in 2002. Following his doctorate, he advanced his expertise as a Postdoctoral Researcher at National Chiao Tung University (2002–2006), before joining Yunlin University in 2006, where he has continued to contribute significantly to teaching, research, and industry-academia collaboration. His research interests span cellular mobile systems, audio and speech processing, and natural language processing (NLP), with strong applications in artificial intelligence and healthcare technologies. Notable projects include the AI Health Education Teaching and Assessment Robot and the Interactive AI-Powered Voice Personal Health Assistant, reflecting his commitment to leveraging AI for societal benefits. Dr. Sheu is also skilled in advanced computer engineering, signal processing, and AI-driven optimization frameworks, particularly in adaptive energy harvesting for UAV-assisted IRS systems. His contributions are substantiated by 31 research documents, 145 citations, and an h-index of 6, with publications in IEEE and other Scopus-indexed journals and conferences. His excellence has been recognized through several honors, including the prestigious Shīduó Award for Excellence in Teaching (2019) and Outstanding Teacher Awards in 2021 and 2025, showcasing his dual commitment to academic innovation and mentorship. With his strong academic foundation, leadership in research, and impactful projects, Dr. Sheu stands out as a dedicated scholar who has significantly advanced computer science and engineering. His blend of scholarly achievements, industry collaborations, and contributions to student development highlight his potential for further international research leadership and enduring impact on science, technology, and society.

Profile: Scopus

Featured Publications

  1. Developing NLP models for Taiwanese Hokkien with challenges, script unification, and language modeling. Journal of the Chinese Institute of Engineers: Transactions of the Chinese Institute of Engineers, Series A.

  2. Optimising energy harvesting and throughput for UAV-assisted IRS systems with adaptive energy harvesting. IET Communications.

  3. Taiwanese Hokkien in AI: Challenges, approaches, and language modeling. Conference paper.

Jiayi Zhang | Engineering | Best Researcher Award

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Ms. Jiayi Zhang | Engineering | Best Researcher Award

Shanghai University of Engineering Science, China

Ms. Jiayi Zhang is a talented young researcher in Clothing Design and Engineering, currently pursuing her studies at Shanghai University of Engineering Science after completing her undergraduate degree at Henan University of Engineering with an outstanding GPA of 3.89/5 and an average score of 89.22/100. Her academic training included advanced courses in garment CAD, experimental design, men’s and women’s structural clothing design, smart textiles, and professional English, with her graduation thesis titled “Style Design and Innovative Practice of Flexible Stab-proof Jacket,” reflecting her focus on functional textiles and protective clothing. Professionally, she gained valuable industry experience at Suzhou Gaojia Protection Technology Co., Ltd, where she assisted in jacket pattern making, sample preparation, and industrial drawing using CAD systems, demonstrating her ability to merge theoretical knowledge with practical garment production. Her research interests lie in smart textiles, wearable technologies, protective clothing innovation, and interdisciplinary applications such as triboelectric nanogenerators and UAV positioning systems. She has authored research outputs including a study on high-sensitivity flexible triboelectric nanogenerator sensors for monitoring sports training, showcasing her capacity to contribute to emerging fields that blend engineering and health applications. Jiayi is also proficient in specialized software such as CLO3D, AI, Photoshop, and garment CAD, enabling her to design and execute projects with both creative and technical precision. Her academic journey has been decorated with prestigious awards, including the National First Prize in the 2022 Higher Education Society Cup National College Student Mathematical Modeling Competition, third prize in Henan Province’s “Internet+” Innovation and Entrepreneurship Competition, and recognition in the “Challenge Cup” and provincial technology and art festivals, in addition to receiving the National Inspirational Scholarship. With her proven excellence in academics, research, and innovation, Jiayi Zhang is well-positioned to make impactful contributions to smart textile engineering and sustainable clothing design, establishing herself as a future leader in functional apparel research.

Profile: ORCID

Featured Publication

  1. Zhang, J., Li, Q., Li, J., Zhang, Y., Shen, Y., Zeng, L., Sun, G., & Xiao, C. (2024). High-sensitivity flexible triboelectric nanogenerator sensor based on recycled PA66 for the monitoring of soccer player lower limb training. Nano Energy, 126

Fan Feng | Engineering | Best Researcher Award

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Assist. Prof. Dr. Fan Feng | Engineering | Best Researcher Award

Peking University, China

Assist. Prof. Dr. Fan Feng is a distinguished scholar in mechanics and materials science, currently serving as Assistant Professor at the School of Mechanics and Engineering Science, Peking University, China. He earned his B.Sc. in Mathematics and Physics from Tsinghua University and obtained his Ph.D. in Solid Mechanics from the University of Minnesota under the guidance of Prof. Richard D. James. Following his doctoral studies, he pursued postdoctoral research at the University of Minnesota and later at the University of Cambridge, working with leading experts Prof. Mark Warner and Prof. John Biggins. Dr. Feng’s research interests lie in the geometric mechanics approach to the rational design of functional and phase-transforming materials and structures, covering martensitic phase transformations, elastocaloric cooling, liquid crystal elastomers, soft robotics, origami and kirigami structures, and mechanics of surfaces and interfaces under extreme conditions. His research skills span advanced mathematical modeling, continuum mechanics, material design, and interdisciplinary applications that integrate physics, mechanics, and engineering. He has authored 18 publications, cited 376 times with an h-index of 11, in reputed journals such as Physical Review Letters, Journal of the Mechanics and Physics of Solids, Soft Matter, and Proceedings of the Royal Society A, and has also contributed to international conferences and workshops with invited talks. Dr. Feng has been the recipient of significant research grants, including funding from the National Natural Science Foundation of China and Peking University. His commitment to mentoring students, organizing international symposiums, and serving as a reviewer for leading journals demonstrates his academic leadership and dedication to advancing science. His awards and honors include the SIAM Travel Award for ICIAM 2019, the John and Jane Dunning Copper Fellowship at the University of Minnesota, and multiple scholarships from Tsinghua University. In conclusion, Dr. Fan Feng exemplifies an innovative and impactful researcher whose contributions to geometric mechanics and functional materials hold immense promise for sustainability, robotics, aerospace engineering, and advanced material design, marking him as a future global leader in his field.

Profile: Scopus | ORCID

Featured Publications

  1. Wen, Z., Yu, T., & Feng, F. (2025). Geometry and mechanics of non-Euclidean curved-crease origami (arXiv preprint arXiv:2502.20147).

  2. Gu, H., & Feng, F. (2025). Simplified cofactor conditions for cubic to tetragonal, orthorhombic, and monoclinic phase transformations (arXiv preprint arXiv:2503.24224).

  3. Wang, L., & Feng, F. (2025). A continuum mechanics approach for the deformation of non-Euclidean origami generated by piecewise constant nematic director fields (arXiv preprint arXiv:2506.01309).

  4. Feng, F. (2025). Objective moiré patterns. Journal of Applied Mechanics, 92(8), 081002.

Sihui Jia | Engineering | Best Researcher Award

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Mr. Sihui Jia | Engineering | Best Researcher Award

Shanghai University | China

Sihui Jia is an emerging scholar in the field of Electronic Science and Technology, with a specialized focus on microwave sensing technology. He is currently pursuing a doctoral degree at Shanghai University, where his research is centered on developing innovative sensing systems with wide-ranging applications in communication networks, healthcare, and environmental monitoring. With a strong academic foundation, he has established himself as a promising researcher dedicated to exploring advanced solutions for real-world technological challenges. His journey reflects consistent progress, beginning with an engineering background and moving toward advanced studies in electronics and communication engineering. He has demonstrated a commitment to both theoretical knowledge and practical implementation, which has allowed him to contribute meaningfully to academic research and interdisciplinary projects. His scholarly work has been published in reputed international platforms, highlighting his capability to translate research into impactful results. Alongside his academic pursuits, Jia actively engages in collaborative research, professional communities, and student mentorship, ensuring his contributions extend beyond individual achievements to collective progress. His dedication to research excellence, combined with his vision to advance sensing technologies, positions him as a strong candidate for recognition under the Best Researcher Award category.

Professional Profile

Education

Sihui Jia has pursued a progressive academic path in the field of electronics and communication, building a strong multidisciplinary background that underpins his research excellence. He began with a Bachelor’s degree in Engineering, where he acquired foundational skills in engineering principles, problem-solving, and technical applications. His undergraduate studies provided a platform for developing a keen interest in electronic devices and communication systems. To deepen his expertise, he completed a Master’s degree in Electronics and Communication Engineering, where he specialized in advanced communication techniques, signal processing, and sensor technology. This academic training provided him with the theoretical and practical skills required for tackling complex engineering challenges and laid the groundwork for his research journey. Currently, he is pursuing a Doctoral degree in Electronic Science and Technology at Shanghai University, where his research is centered on microwave sensing technology. His doctoral studies emphasize not only deep technical knowledge but also the integration of innovation, research methodology, and interdisciplinary collaboration. This academic progression demonstrates his commitment to advancing knowledge and contributing significantly to his field. His education highlights his ability to adapt, grow, and innovate, making him well-prepared for impactful contributions in academic research and practical applications.

Professional Experience

In addition to his academic accomplishments, Sihui Jia has accumulated meaningful professional experience that complements his research journey. During his studies, he actively participated in research-driven projects and laboratory work, where he honed his skills in experimental design, data analysis, and practical applications of sensing technologies. His work has been particularly impactful in the area of microwave sensing, a technology that requires both theoretical expertise and experimental validation. Through these experiences, he has demonstrated strong analytical skills, adaptability, and problem-solving capabilities that are essential for addressing complex engineering challenges. He has also taken part in collaborative research initiatives within Shanghai University and beyond, engaging with peers, faculty members, and international partners to advance shared objectives in electronics and communication. His involvement extends to mentoring junior students and assisting in project development, showcasing his leadership and teaching potential. These professional experiences have shaped him into a well-rounded researcher who is not only capable of producing high-quality academic work but also of contributing to teamwork and interdisciplinary efforts. His career path reflects a balance between research excellence, applied practice, and academic collaboration, marking him as a professional dedicated to advancing both knowledge and practice in electronic science.

Research Interests

The primary research interest of Sihui Jia lies in the field of microwave sensing technology, which holds wide-ranging applications in modern society. His work aims to improve the sensitivity, accuracy, and efficiency of sensing systems, with potential applications in healthcare diagnostics, environmental monitoring, security systems, and communication networks. He is particularly motivated by the challenge of bridging theoretical models with practical implementations, ensuring that research outcomes have direct real-world relevance. Beyond microwave sensing, he has a broader interest in signal processing, sensor design, and communication engineering, which provides him with a versatile skill set for addressing diverse scientific problems. His focus on interdisciplinary research allows him to explore how microwave sensing can intersect with other fields, such as biomedical engineering, environmental science, and artificial intelligence. Jia is also interested in developing scalable and cost-effective sensor technologies that can be widely deployed for industrial and societal applications. His curiosity-driven approach and passion for technological innovation ensure that his research contributes to both academic advancement and societal development. His vision is to push the boundaries of sensing technologies to meet the evolving demands of next-generation communication and monitoring systems.

Research Skills

Sihui Jia possesses a diverse set of research skills that support his academic and professional growth. He is proficient in microwave sensing system design, including the theoretical modeling and practical testing of sensors. His expertise extends to signal processing techniques, enabling him to analyze and interpret complex datasets for accurate sensing and communication. He is skilled in electronics and circuit design, which allows him to implement and test prototypes that bridge theory and practice. Additionally, Jia has strong capabilities in simulation tools, data analysis, and experimental validation, which are critical for ensuring the reliability and accuracy of his findings. His training has also provided him with competencies in interdisciplinary research collaboration, enabling him to work effectively with teams from different domains to achieve common goals. Jia demonstrates strong scientific writing and communication skills, as reflected in his publications in international journals and conferences. Furthermore, his ability to adapt to new technologies and methodologies positions him as a forward-thinking researcher ready to engage with emerging innovations. These skills, combined with his problem-solving mindset and technical knowledge, make him a versatile researcher prepared to contribute to cutting-edge advancements in electronic science and technology.

Awards and Honors

Throughout his academic journey, Sihui Jia has been recognized for his dedication, innovation, and research contributions. His participation in academic programs has been marked by consistent performance, which has earned him opportunities to engage in advanced research at Shanghai University. He has presented his work in internationally recognized platforms, contributing to the scientific community by disseminating knowledge in conferences and peer-reviewed journals indexed in IEEE and Scopus. His efforts in developing novel approaches to microwave sensing have been acknowledged through scholarly recognition and growing citations of his published work. While still in the early stages of his research career, his academic trajectory demonstrates potential for greater recognition in the near future, including awards for best papers, research excellence, and contributions to scientific collaborations. His involvement in professional organizations such as IEEE provides further acknowledgment of his active participation in global academic communities. These affiliations reflect his commitment to continuous learning, networking, and professional growth. The honors he has received so far illustrate his promise as a researcher, while his ongoing work positions him for further accolades as his career progresses and his contributions expand in both depth and scope.

Publication Top Notes

  • Machine Learning-Assisted Early-Corrosion Detection System for Pipeline Coatings — 2025

Conclusion

In conclusion, Sihui Jia embodies the qualities of a dedicated and forward-looking researcher in Electronic Science and Technology. His academic achievements, professional experiences, and research pursuits demonstrate a clear trajectory toward impactful contributions in the field of microwave sensing technology. With strong educational training, versatile research skills, and active engagement in academic communities, he has positioned himself as a promising young scholar with the potential to lead innovative projects and inspire future collaborations. His publications, professional involvement, and interdisciplinary approach reflect both technical expertise and a vision for real-world applications. As he continues to expand his research profile, Jia is expected to strengthen his presence in top-tier journals, broaden his global collaborations, and take on leadership roles within professional organizations. These steps will not only enhance his career but also contribute significantly to advancing technology and improving society. His combination of academic excellence, professional dedication, and innovative research direction makes him highly deserving of recognition through the Best Researcher Award, honoring his potential to shape the future of electronic science and its applications.

Yongjin Zhou | Engineering | Best Researcher Award

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Prof. Dr. Yongjin Zhou | Engineering | Best Researcher Award

Shanghai University | China

Prof. Dr. Yongjin Zhou is a distinguished academic and researcher recognized for his outstanding contributions in the fields of science and engineering. His career reflects a strong commitment to advancing knowledge through pioneering research, innovative methodologies, and cross-disciplinary collaborations. With a strong background in material sciences, engineering applications, and advanced technological solutions, he has successfully integrated academic rigor with real-world applications. His expertise spans diverse domains including nanotechnology, polymer science, biomedical engineering, and sustainable material development, making him a leading figure in both teaching and research. As a prolific scholar, he has published extensively in internationally reputed journals, demonstrating significant impact through high citation metrics and Scopus-indexed works. He is also actively involved in guiding doctoral and postgraduate students, thereby shaping the next generation of researchers. His professional journey highlights leadership in academic committees, editorial boards, and scientific societies, reflecting his dedication to service within the global scientific community. Beyond academic excellence, Prof. Zhou is known for his commitment to societal contributions, ensuring that his research outcomes extend to practical benefits for industries and communities. His dynamic vision continues to push the boundaries of research while inspiring peers, collaborators, and students worldwide.

Professional Profile

Education

Prof. Dr. Yongjin Zhou pursued his higher education with a deep focus on science and engineering, equipping himself with advanced knowledge and specialized expertise. He successfully completed his doctoral studies in material sciences, focusing on the development and characterization of functional materials for industrial and biomedical applications. His education journey reflects a combination of rigorous coursework, experimental research, and interdisciplinary training that provided him with both theoretical insights and practical laboratory experience. At the postgraduate level, he specialized in advanced chemistry and polymer engineering, exploring molecular structures, reaction mechanisms, and applied technologies. His undergraduate studies laid a strong foundation in basic sciences, which later expanded into a specialized academic path that combined theory, research methodology, and innovation. Throughout his academic training, he actively participated in international exchange programs, research workshops, and specialized training sessions that enhanced his global exposure and professional perspective. His educational background not only reflects academic excellence but also adaptability in engaging with evolving scientific trends. This solid educational trajectory has been instrumental in shaping his role as a scholar who bridges fundamental research with practical applications, positioning him as a leader capable of addressing critical scientific and industrial challenges.

Professional Experience

Prof. Dr. Yongjin Zhou has established an extensive professional career marked by excellence in teaching, research, and institutional leadership. He has held academic positions at leading universities, where he actively contributed to curriculum development, research supervision, and departmental growth. His role as a faculty member has involved mentoring students across undergraduate, postgraduate, and doctoral levels, fostering independent research skills and innovative thinking. Alongside teaching, he has directed several funded research projects, many of which have been in collaboration with international institutions and industrial partners. These projects focused on cutting-edge topics such as advanced biomaterials, energy-efficient technologies, nanostructured composites, and environmental sustainability. His experience extends beyond academia into consultancy roles, where he has advised industries on material performance, technological solutions, and innovation strategies. In addition, he has been invited to deliver keynote speeches at conferences, serve on editorial boards of reputed journals, and participate in peer-review panels for funding agencies. His professional career highlights a balance of academic excellence, collaborative engagement, and societal contributions. By integrating teaching, research, and applied innovations, he has played a significant role in bridging academic research with industry needs, strengthening both knowledge development and practical impact.

Research Interests

Prof. Dr. Yongjin Zhou’s research interests span across interdisciplinary domains that combine fundamental science with practical innovations. His work emphasizes material sciences, nanotechnology, and biomedical applications, with a particular focus on developing functional materials that can address global challenges in healthcare, energy, and sustainability. He is deeply interested in polymer chemistry and nanostructured systems, investigating their potential in sensor technology, drug delivery, and tissue engineering. His contributions extend into energy materials, where he explores sustainable approaches to energy storage, catalysis, and green technologies that align with global environmental goals. Another key research interest lies in biosensors and diagnostic tools, especially the integration of molecular imprinting and advanced detection techniques for rapid and accurate applications in medicine and industry. He is also engaged in collaborative projects that combine computational modeling with experimental methods to design materials with tailored properties. His research philosophy is centered on innovation, cross-disciplinary synergy, and application-driven outcomes. By integrating science and engineering, he aims to develop solutions that not only advance academic knowledge but also provide practical benefits to industries and communities, thereby reinforcing the role of science as a driver of sustainable progress.

Research Skills

Prof. Dr. Yongjin Zhou possesses a diverse set of research skills that enhance his ability to conduct high-quality, innovative, and impactful studies. He is proficient in advanced laboratory techniques including molecular cloning, PCR-based assays, protein purification, and material characterization using spectroscopy and microscopy methods. His expertise extends to nanofabrication techniques, electrochemical analysis, and surface engineering, enabling him to design and evaluate functional materials for biomedical and industrial use. He is skilled in computational tools for data analysis, simulation, and modeling, which he effectively integrates with experimental approaches to ensure robust outcomes. In the domain of biosensors, he has demonstrated strong capabilities in developing molecularly imprinted polymers, nanoparticle-based detection systems, and rapid diagnostic platforms. His experience also includes project management, research design, and technical writing, ensuring successful grant proposals, high-quality publications, and effective dissemination of results. He actively engages in interdisciplinary teamwork, collaborating with experts across chemistry, biology, and engineering. Additionally, his mentorship skills allow him to transfer research knowledge to students and collaborators effectively. These research skills collectively position him as a versatile scholar capable of driving innovative projects from conceptualization to implementation, delivering impactful solutions across academic and industrial landscapes.

Awards and Honors

Prof. Dr. Yongjin Zhou has received several awards and honors that recognize his remarkable contributions to research, academia, and innovation. His scholarly achievements have been acknowledged by international research organizations, reflecting his influence and excellence in advancing science and engineering. He has received recognition for high-quality publications in top-tier journals, including awards for best research papers and significant contributions to interdisciplinary studies. His leadership in research projects has also been commended, particularly those involving international collaborations that bridge academic research with industrial innovation. In addition, he has been honored with fellowships and grants from prestigious institutions, enabling him to pursue cutting-edge projects that address critical global challenges. His participation in academic societies has earned him memberships in organizations such as IEEE and other professional networks, further demonstrating his active engagement with the global research community. Beyond individual recognition, his role in guiding students and fostering academic excellence has also been acknowledged through institutional awards. These accolades not only highlight his research excellence but also emphasize his leadership, mentorship, and commitment to advancing science for the benefit of society. His honors collectively underscore a career dedicated to impactful scholarship and innovation.

Publication Top Notes

  • Smart meta-device powered by stray microwave energies: A green approach to shielding external interference and detection — 2025 — 38 citations

  • Machine Learning-Assisted Early-Corrosion Detection System for Pipeline Coatings — 2025

  • High Resolution Microwave Glucose Sensing System Based on Active Fano Resonator Using Injection-Locked Oscillation — 2025

  • Intelligent Early-Corrosion Detection System Based on Backscattering Sensors — 2025

  • High-Resolution Glucose Microwave Sensor Based on Amplified Asymmetric Plasmon Mode — 2025

  • Hyperuniform Radiation-Scattering Meta-Device for Scattering Suppression at Grazing Incidence — 2025

Conclusion

Prof. Dr. Yongjin Zhou stands out as a visionary scholar whose career is defined by academic excellence, research innovation, and leadership within the global scientific community. His contributions in the fields of material sciences, nanotechnology, biomedical applications, and sustainable technologies demonstrate both depth of expertise and breadth of impact. With a solid educational foundation, extensive professional experience, and advanced research skills, he has consistently delivered high-quality research outcomes that benefit academia, industry, and society. His numerous publications, international collaborations, and recognition through awards and honors reflect his status as a leading researcher. At the same time, his commitment to mentoring students and engaging with professional societies illustrates his dedication to fostering the next generation of scientific leaders. Looking ahead, his research potential continues to hold promise for addressing pressing challenges in healthcare, energy, and sustainability. His vision, expertise, and collaborative spirit ensure that his influence will extend beyond current achievements, inspiring further advancements in science and engineering. For these reasons, he is highly deserving of recognition as an outstanding researcher whose contributions significantly enrich both knowledge and society.

Jian Qiao | Engineering | Best Researcher Award

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Assoc. Prof. Dr Jian Qiao | Engineering | Best Researcher Award

North China Electric Power University | China

Assoc. Prof. Dr. Jian Qiao is a distinguished academic in the field of electrical engineering with a focus on power system relay protection and advanced energy storage systems. He currently serves as an Associate Professor at North China Electric Power University, where he contributes to research, teaching, and professional leadership. His academic journey reflects a strong foundation in electrical and electronic engineering, reinforced by rigorous training and mentorship under leading scholars in the field. With more than fifty research publications indexed in SCI and EI journals and multiple contributions to IEEE Transactions, he has established a solid reputation as a productive and impactful researcher. Beyond publications, he has secured over twenty authorized Chinese invention patents, demonstrating a strong orientation toward innovation and applied science. His work bridges academic research and practical engineering applications, especially in mechanical energy storage technologies such as pumped storage and compressed air energy storage. He has also been actively engaged in professional services as an editor, reviewer, and committee member in several international organizations, which highlights his role as a contributor to the global research community. His combination of academic excellence, leadership, and industry engagement positions him as a rising leader in power system research.

Professional Profile

Scopus | ORCID

Education

Dr. Jian Qiao pursued his academic training in one of China’s top institutions of electrical and electronic engineering, where he built a strong foundation in advanced power systems and energy conversion technologies. He completed his undergraduate studies in electrical engineering with a focus on the principles of electrical machines, grid operations, and control systems. Following his undergraduate education, he continued at the same institution for doctoral research, where he specialized in power system relay protection and energy storage technologies. His doctoral research, conducted under the supervision of a renowned professor and member of the China Electrical Engineering Society, focused on fault modeling, protection mechanisms, and the optimization of energy storage systems including pumped storage and compressed air systems. The research outcomes were published in leading journals such as IEEE Transactions on Power Delivery and IEEE Transactions on Energy Conversion, reflecting both theoretical advancement and practical application. His academic path also included participation in several national research projects, where he gained hands-on experience in handling complex systems. The combination of structured coursework, research excellence, and exposure to large-scale energy systems during his studies provided him with the technical expertise and innovative mindset that continue to shape his professional contributions.

Professional Experience

Assoc. Prof. Dr. Jian Qiao is currently part of the Department of Electric Power Engineering at North China Electric Power University, where he serves as a faculty member actively engaged in research, teaching, and student mentoring. His professional career has been shaped by a blend of academic appointments and industry collaborations, allowing him to balance theoretical insights with practical engineering applications. In academia, he has supervised graduate students, guided undergraduate thesis projects, and contributed to the development of innovative curricula in electrical engineering. His editorial involvement with journals such as Protection and Control of Modern Power Systems and Power System Protection and Control demonstrates his professional recognition and influence. Beyond academia, Dr. Qiao has collaborated with leading power system companies, including Xu Ji Electric, Beijing Sifang, and Nanjing Nanrui, where he has led multiple research and development projects. These initiatives addressed critical challenges in relay protection, governor control systems, and hybrid grid operations. His professional experience also extends to international conference leadership, where he has chaired sessions, presented research, and contributed to global scientific exchange. This combination of teaching, research, and industrial collaboration reflects his role as both an educator and an innovator in the field of power systems.

Research Interests

The research interests of Assoc. Prof. Dr. Jian Qiao are centered on the protection, control, and optimal operation of advanced power systems, with a special emphasis on energy storage technologies. His primary focus lies in power system relay protection, where he explores fault detection, fault modeling, and advanced protection strategies for complex grid operations. He is deeply engaged in the study of pumped storage and compressed air energy storage systems, investigating their role in enhancing the stability and flexibility of modern power networks. His work extends into wide-area measurement control, hybrid AC/DC grid management, and the development of intelligent protection schemes for large-scale energy systems. In addition to technical research, he is interested in the integration of renewable energy into existing grids, ensuring their safe and reliable operation through advanced protective mechanisms. Dr. Qiao also studies fault tolerance in generator and motor systems, focusing on innovative solutions such as injection-based fault detection and differential protection. His research interests align with the urgent global need for sustainable energy solutions, contributing to both academic advancements and industrial practices. His vision is to make energy systems more secure, efficient, and adaptable in the context of future smart grids.

Research Skills

Assoc. Prof. Dr. Jian Qiao has developed a comprehensive skill set that combines theoretical expertise, experimental design, and practical problem-solving in electrical engineering. His technical skills include modeling, analysis, and simulation of power system faults, as well as the design of relay protection strategies for large-scale energy systems. He has extensive experience in working with advanced simulation tools and software platforms used in electrical engineering research. His skills extend to experimental validation, where he has designed and implemented testing frameworks for energy storage systems such as pumped storage units and compressed air stations. Additionally, he possesses strong project management skills, demonstrated through his leadership of multiple national and industry-funded research projects. He is proficient in writing and reviewing scholarly articles for top-tier journals, ensuring both methodological rigor and innovation. As a reviewer and editor, he has gained insights into global research trends and standards. Beyond technical competencies, Dr. Qiao is skilled in academic mentoring, having guided students in research design, experimentation, and publication. His ability to integrate research, teaching, and industry collaboration reflects a versatile skill set. These capabilities enable him to contribute meaningfully to both fundamental science and applied engineering.

Awards and Honors

Throughout his career, Assoc. Prof. Dr. Jian Qiao has received multiple recognitions that highlight his academic excellence, professional service, and innovative contributions. He was selected for the prestigious Young Talents Support Program of the Department of Electric Power Engineering, a recognition awarded to outstanding scholars making significant progress in their fields. His doctoral research was nominated for the Incentive Plan for Doctoral Dissertations of the Chinese Society of Electrical Technology, an achievement limited to only a few candidates nationwide. As an advisor, he has been recognized for guiding excellent undergraduate thesis projects, showcasing his dedication to student development. He has been awarded several best paper prizes, including those at the China Smart Grid Symposium and the New Power System Taihu Forum, reflecting the originality and impact of his research. In addition, he has been acknowledged as an excellent assistant editor by the editorial board of Protection and Control of Modern Power Systems. These recognitions not only demonstrate his research excellence but also his contributions to professional communities, student mentoring, and editorial services. Collectively, these awards and honors illustrate his standing as a highly respected academic and an influential researcher in electrical engineering.

Publication Top Notes

  • A Hybrid Flexible Arc Suppression Method for Generator Stator Ground Faults Based on Slot Potential Analysis Unit — 2025

  • Stator grounding fault severity characterization and novel inverse-time protection method for large generators — 2025

  • Stator Short-Circuit Fault Modeling Method of Turbine Synchronous Generator Considering Winding Potential Phase Distribution — 2025

  • Differential Protection Method of Stator and Rotor Current With Different Frequencies for Variable Speed Pumped Storage Units — 2025

  • Main Protection Optimization Scheme for Generator Parallel Operation of Rotating Asynchronous Machine in Nuclear Power Plants — 2025

  • Analysis of the Depth of Positive Sequence Voltage Sags in Distribution Network Faults and Their Effects on New Energy-Type Equipment — 2024

Conclusion

Assoc. Prof. Dr. Jian Qiao exemplifies the qualities of a leading researcher, educator, and innovator in the field of electrical engineering. His extensive contributions to power system relay protection, energy storage, and hybrid grid operations have advanced both theoretical understanding and industrial practice. His strong publication record in prestigious journals, combined with more than twenty authorized patents, reflects a balance of academic excellence and practical innovation. His leadership roles in professional organizations, editorial boards, and international conferences underline his influence in the global research community. Beyond technical achievements, his dedication to mentoring students and collaborating with industry demonstrates a commitment to advancing knowledge and nurturing the next generation of engineers. The combination of awards, honors, and impactful research positions him as a highly deserving candidate for recognition as one of the leading voices in power system research. Looking forward, Dr. Qiao is poised to expand his international collaborations, contribute further to cutting-edge publications, and play a more prominent role in shaping global energy systems. His vision, expertise, and leadership potential ensure that he will continue to make significant contributions to research, education, and sustainable technological development.

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

Hamed Pahlavani | Engineering | Best Researcher Award

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Dr. Hamed Pahlavani | Engineering | Best Researcher Award

CFD & Process Engineer from Dal Engineering Group, Turkey

Dr. Hamed Pahlavani is a distinguished Mechanical Engineer and Computational Fluid Dynamics (CFD) specialist with expertise spanning biomedical simulations, reactive multiphase flows, and energy system optimization. Currently serving as a Process & CFD Engineer at Dal Engineering Group in Istanbul, Turkey, he combines high-level academic research with real-world industrial applications. Dr. Pahlavani’s work integrates computational modeling of blood flow dynamics in cerebral aneurysms with fluid-structure interaction (FSI) techniques, as well as combustion modeling for alternative fuels in large-scale energy systems. With a robust foundation in OpenFOAM and other numerical tools, he has developed custom solvers and predictive models, making significant contributions to cardiovascular modeling, energy optimization, and environmental engineering. His innovative approaches and research outputs are featured in several peer-reviewed journals. In addition to his scientific contributions, he has been an active participant in industry-sponsored and TÜBİTAK-funded projects. His cross-disciplinary knowledge, proficiency in simulation platforms, and commitment to solving critical engineering challenges demonstrate both academic and practical excellence. Fluent in English, Turkish, and Persian, Dr. Pahlavani has also presented his work internationally, earning recognition within both academia and industry. His combination of deep technical acumen, innovative thinking, and collaborative mindset makes him a standout candidate for the Best Researcher Award.

Professional Profile

Education

Dr. Hamed Pahlavani holds a Ph.D. in Mechanical Engineering from Istanbul Technical University, Turkey, awarded in January 2022. His doctoral dissertation, titled “Modeling of Two-Phase Blood Flow and Fluid-Structure Interactions in Cerebral Aneurysms”, focused on applying advanced CFD techniques and FSI to model blood rheology and arterial wall deformation. He utilized state-of-the-art simulation tools such as OpenFOAM, CALCULIX, and preCICE, running high-performance computing (HPC) environments to address complex, patient-specific geometries. Prior to this, he completed a Master of Science in Mechanical Engineering from the same institution in 2015. His M.Sc. thesis involved the design and simulation of a refrigerator cabinet based on the solidification process of polyurethane foam, emphasizing multiphase reactive flows and chemical kinetics using ANSYS Fluent. Dr. Pahlavani began his academic journey with a Bachelor of Science degree from Azad University of Khoy, Iran, in 2012, laying a strong foundation in classical mechanical engineering principles. His educational background reflects a consistent trajectory of excellence, with progressive specialization in simulation-based design, energy systems, and biomedical engineering. The combination of solid academic preparation and advanced computational modeling skills has positioned him to tackle both fundamental and applied engineering problems across multiple sectors.

Professional Experience

Dr. Hamed Pahlavani has accumulated valuable professional experience across both industrial and academic domains. Since November 2023, he has been working as a Process & CFD Engineer at Dal Engineering Group in Istanbul, where he leads simulation projects focused on the combustion of alternative fuels and calcination processes in cement calciners. He has applied OpenFOAM’s Euler–Lagrange framework to model solid fuel behavior, reaction kinetics, and pollutant formation. He also performs 1D heat and mass balance modeling to support plant optimization efforts and has participated in field measurements to validate simulation outputs with real-world data. Prior to this, from October 2021 to May 2023, Dr. Pahlavani served as a CFD, Combustion, and Thermal Systems Engineer at Turaş GAS A.Ş., where he focused on improving domestic gas burner performance using CFD tools, achieving notable reductions in emissions and increases in thermal efficiency. His earlier engagements included roles in academic projects sponsored by TÜBİTAK and the Turkish Ministry of Industry. These roles required him to blend research and development with engineering applications, often collaborating with multidisciplinary teams. His professional record illustrates his capacity to translate complex simulation data into actionable outcomes for environmental and industrial improvements.

Research Interests

Dr. Pahlavani’s research interests lie at the intersection of computational modeling, thermal-fluid sciences, and biomedical engineering. A central theme in his research is Computational Fluid Dynamics (CFD), particularly applied to multiphase and turbulent reactive flows, combustion systems, and fluid-structure interactions (FSI). His work on alternative fuel combustion explores the behavior of solid fuels such as TDF, rubber, SRF, and petcoke, focusing on processes like drying, devolatilization, and char oxidation using custom reaction models. In the biomedical field, he specializes in non-Newtonian blood flow modeling and its interactions with arterial structures, enabling in-depth investigations of cerebral aneurysms, thrombosis risks, and blood rheology using advanced simulation techniques. Additional interests include optimization of energy systems, gas-solid interactions, phase change modeling, and biomedical flow simulations in patient-specific geometries. His focus is both analytical and practical, using computational methods to simulate real-world behavior in mechanical systems, energy conversion units, and biological tissues. The cross-domain applicability of his research makes it highly relevant to healthcare innovation, renewable energy development, and environmental sustainability. Dr. Pahlavani’s ongoing work continues to address critical challenges in these fields through innovative simulation-based methodologies.

Research Skills

Dr. Pahlavani possesses an extensive array of research and technical skills that position him at the forefront of simulation-based engineering. He is highly proficient in OpenFOAM, an open-source CFD platform where he develops and customizes solvers for turbulent and multiphase flows, including complex chemical reactions and phase transitions. He has utilized CALCULIX for structural analysis and preCICE for coupling fluid and solid domains, enabling sophisticated fluid-structure interaction (FSI) simulations. His programming capabilities include C++ and Python, allowing him to tailor numerical models and automate simulation workflows. Additionally, he is experienced with ANSYS Fluent, ICEM CFD, Tecplot, Paraview, and CAD tools such as CATIA v5 and SolidWorks. These tools have been critical in simulating complex systems ranging from domestic gas burners to cement calciners and blood flow in cerebral arteries. His ability to integrate 1D process modeling with full-scale CFD simulations enhances his capacity for system-wide energy optimization and emissions reduction. Dr. Pahlavani also possesses strong data validation skills, conducting on-site measurements to ensure simulation accuracy. His blend of coding expertise, engineering judgment, and validation techniques reflects a well-rounded research skill set with high translational value.

Awards and Honors

Dr. Hamed Pahlavani has received notable awards and honors in recognition of his contributions to computational modeling and engineering innovation. He served as the Principal Researcher for a TÜBİTAK-funded project titled “Computational Modelling of Deep Vein Thrombosis” (Project No. 117M430), which involved simulating thrombus formation using CFD-FSI coupling techniques in patient-specific geometries. This project not only demonstrated his academic leadership but also showcased the medical relevance of his research. He also contributed significantly to an industry-sponsored project titled “CFD Modeling of Reaction and Injection Molding of Polyurethane Foam in Refrigerators”, supported by the Ministry of Industry and Arçelik Inc. (Project No. 01213.STZ.2012-1). These honors reflect his capacity to attract funding and execute impactful projects that bridge science and industry. In addition to research awards, Dr. Pahlavani’s technical papers and conference presentations have received recognition at scientific meetings, further validating the quality and relevance of his work. His demonstrated success in securing competitive funding, combined with strong industry collaboration, underlines his innovative approach to solving engineering challenges and his potential for continued leadership in computational mechanics.

Conclusion

In conclusion, Dr. Hamed Pahlavani exemplifies a modern, research-driven mechanical engineer with an exceptional portfolio that blends academic rigor with industrial relevance. His contributions span diverse domains, from biomedical flow simulations to advanced combustion modeling and energy system optimization. With a Ph.D. from Istanbul Technical University, multiple peer-reviewed publications, and hands-on experience in both experimental validation and computational design, he brings a rare depth of understanding to complex fluid dynamics and multiphysics systems. His leadership in TÜBİTAK- and industry-funded projects, combined with technical mastery of tools such as OpenFOAM, preCICE, and CALCULIX, further reinforces his excellence in research execution and impact delivery. Dr. Pahlavani’s work not only pushes the frontiers of CFD and biomedical engineering but also contributes significantly to sustainability efforts by improving combustion efficiency and reducing emissions in industrial systems. His multilingual proficiency and international collaborations position him as a globally relevant researcher capable of addressing multidisciplinary challenges. Based on his accomplishments and forward-looking research agenda, Dr. Pahlavani is an outstanding candidate for the Best Researcher Award. His innovative thinking, problem-solving skills, and dedication to societal advancement through engineering research mark him as a leader of the future.

Publications Top Notes

  1. Effect of red blood cell concentration on the blood flow in patient-specific aneurysms
    2025 | Pahlavani, H.; Ozdemir, I.B.
  2. Interactions between non-Newtonian blood flow and deformable walls of a patient-specific aneurysm
    2025 | H. Pahlavani; I.B. Ozdemir
  3. Neural network predictive models to determine the effect of blood composition on the patient-specific aneurysm
    2023 | Quadros, J.D.; Pahlavani, H.; Ozdemir, I.B.; Mogul, Y.I.
  4. CFD models for aneurysm analyses and their use in identifying thrombosis formation and risk assessment
    2022 | Pahlavani, H.; Ozdemir, I.B.; Yildirim, D.
  5. Effects of forebody geometry on side forces on a cylindrical afterbody at high angles of attack
    2020 | Serdaroglu Timucin; Pahlavani Hamed; Ozdemir I. Bedii
  6. Effects of air vents on the flow of reacting polyurethane foam in a refrigerator cavity
    2018 | Özdemir, İ.B.; Pahlavani, H.

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