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.

Le Chang | Engineering | Best Researcher Award

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Assist. Prof. Dr. Le Chang | Engineering | Best Researcher Award

Xi’an Jiaotong University | China

Dr. Le Chang is an Assistant Professor at the College of Electric Power Engineering, Shanghai University of Electric Power, China, specializing in networked control systems and nonlinear dynamics. He earned his Ph.D. from Shandong University, focusing on control theory and its applications. His professional experience includes serving as a Research Associate at the College of Electric Power Engineering, where he contributes to the development of advanced control strategies for complex systems. Dr. Chang’s research interests encompass the analysis and design of control systems in the presence of network-induced delays and nonlinearities, aiming to enhance the stability and performance of interconnected systems. His research skills are demonstrated through his work on cascade control for post-chlorine dosage during drinking water treatment under cyber attacks, published in the IEEE Transactions on Automation Science and Engineering. Additionally, he has contributed to the global stabilization of strict-feedback nonlinear systems with applications to circuits, employing an intermittent impulsive control approach, as detailed in the IEEE Control Systems Letters. Dr. Chang’s work on global output regulation for uncertain feedforward nonlinear systems with unknown nonlinear growth rates has been published in the International Journal of Robust and Nonlinear Control. His contributions to global output feedback stabilization for nonlinear systems via a switching control gain approach are featured in the International Journal of Control. Furthermore, his research on global sampled-data output feedback stabilization for nonlinear systems via intermittent hold has been published in the IEEE/CAA Journal of Automatica Sinica. Dr. Chang’s innovative approaches to stabilization and regulation in nonlinear systems have significantly advanced the field of control engineering. In conclusion, Dr. Le Chang’s academic background, professional experience, and research contributions underscore his expertise in control systems, particularly in addressing challenges posed by networked and nonlinear dynamics. His work continues to influence the development of robust control strategies in various engineering applications.

Profile: Scopus

Featured Publications

1. Liu, D., Chang, L., He, W., Wei, K., & Zhang, A. (2025). Wideband low-directivity cavity-backed Yagi-Uda dipole antenna for electrically large laptops. IEEE Transactions on Antennas and Propagation, in press.

2. Zhang, H., Chang, L., Chen, X., Chen, J., & Zhang, A. (2025). Ultra-low-profile and ultra-wideband microstrip patch antenna based on hybrid coupling for mobile Wi-Fi 6/6E and UWB channels 5–11 applications. IEEE Transactions on Antennas and Propagation, in press.

3. Wang, S., Bu, H., Zhang, Y., Chang, L., Chen, X., Wei, K., & Li, Y. (2025). Active antenna hub: A multi-port shared-antenna architecture for scalable internet of things devices. IEEE Internet of Things Journal, in press.

4. Zhao, Z., Chang, L., Cui, Y., & Zhang, A. (2025). Miniaturized and wideband metasurface antenna sensor for breast tumor detection. Sensors and Actuators: A. Physical, in press.

5. Chen, M., Chang, L., Cao, Y., Yan, S., & Zhang, A. (2025). Simultaneous enhancements of bandwidth and isolation of frame monopoles utilizing elongated back cover patches for smartphones. IEEE Transactions on Antennas and Propagation, in press.

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.

Yu Huang | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Yu Huang | Engineering | Best Researcher Award

Associate Professor from Harbin Engineering University | China

Dr. Yu Huang is an accomplished Associate Professor at Harbin Engineering University, China, with extensive expertise in magnetic detection, micro-vibration isolation, and geomagnetic applications. With a robust academic and professional background rooted in physics and engineering, he has contributed significantly to the development of innovative algorithms and applied sensor technologies. His work bridges the theoretical and practical aspects of navigation, guidance, and control systems, providing valuable solutions to real-world challenges in geophysical signal processing and underwater navigation. Dr. Huang’s career is distinguished by a blend of teaching excellence and high-impact research. His scholarly output includes numerous peer-reviewed journal articles published in top-tier platforms such as IEEE Transactions on Magnetics and Journal of Magnetism and Magnetic Materials. He is also actively involved in interdisciplinary research and collaborative projects that span both national and international domains. Beyond research, Dr. Huang is a dedicated educator who teaches graduate and undergraduate courses, shaping the next generation of physicists and engineers. His academic journey, professional service, and leadership in both research and education highlight his suitability for prestigious international research recognitions and awards.

Professional Profile

Education

Dr. Yu Huang’s educational journey spans diverse yet interconnected fields of physics and engineering, providing him with a strong multidisciplinary foundation. He earned his Ph.D. in Navigation, Guidance, and Control from Harbin Engineering University in 2011, focusing on advanced sensor systems and control mechanisms. This doctoral training played a vital role in sharpening his ability to develop and analyze high-precision technologies used in geomagnetic and vibration isolation systems. Before this, he obtained a Master of Engineering degree in Theoretical Physics from Huazhong University of Science and Technology in 2005, a program that deepened his theoretical understanding of physical principles, mathematical modeling, and experimental design. His academic roots trace back to his undergraduate degree, a Bachelor of Science in Physics Education from Anqing Normal University in 1997, where he gained strong pedagogical and foundational scientific knowledge. Each stage of his education has contributed to his ability to translate complex theories into practical applications. The combination of physics, theoretical modeling, and applied engineering has shaped his career trajectory and enabled him to conduct groundbreaking research in the field of magnetic sensing and control technologies.

Professional Experience

Dr. Yu Huang has accumulated over two decades of academic and industrial experience across multiple positions that have shaped his technical expertise and teaching abilities. Since January 2019, he has served as Associate Professor in the College of Physics and Optoelectronic Engineering at Harbin Engineering University. Prior to that, he held a similar role in the College of Science at the same university from 2017 to 2018. Between 2004 and 2017, he contributed as a Lecturer in physics-related disciplines, building his foundation in pedagogy and mentoring. His international exposure includes a notable visiting scholar position in 2016–2017 at the Department of Electronic Engineering, École de Technologie Supérieure in Canada, where he engaged in collaborative research and academic exchange. Earlier in his career, he also worked in the private sector as an engineer at Shunda Computer Factory Co., Ltd, which equipped him with practical insights into technological manufacturing and computing systems. His career began with a teaching assistantship at Chaohu University, where he taught undergraduate-level physics. This well-rounded professional path showcases Dr. Huang’s capabilities in research, instruction, and technological application, qualifying him as an expert in his field.

Research Interests

Dr. Yu Huang’s research interests lie at the intersection of magnetic detection, geomagnetic field applications, and micro-vibration isolation systems. His primary focus involves the use of magnetic gradient tensor technology for accurate localization and orientation, particularly in complex environments such as underwater or geophysical terrains. He is especially interested in developing algorithms that utilize sensor arrays and tensor-based models for real-time magnetic field analysis. Another area of focus includes geomagnetic signal processing and localization methods that improve navigation accuracy without reliance on satellite signals. In recent years, he has advanced one-step downward continuation techniques in the wave number domain, eliminating the need for iterative corrections in magnetic data modeling. His experimental and theoretical investigations further encompass vibration isolation technologies using compound pendulum responses, which are critical for stabilizing sensitive equipment in varying ground conditions. Dr. Huang’s research contributes significantly to aerospace, defense, underwater navigation, and earth sciences, and he continuously collaborates across disciplines to refine these systems. His work stands out for its emphasis on practical applications rooted in rigorous physical theory and advanced mathematical modeling, offering innovative solutions to longstanding technical challenges in his domain.

Research Skills

Dr. Huang is equipped with a broad and deep set of research skills that span theoretical modeling, experimental design, algorithm development, and data interpretation. His proficiency in magnetic gradient tensor analysis allows him to design and implement algorithms for object localization and orientation with high precision. He is skilled in using triaxial magnetometer arrays for real-time signal acquisition and analysis, contributing to improved location detection technologies. His work often incorporates quaternion-vector switching techniques, vital for attitude estimation in underwater applications. In terms of experimental expertise, Dr. Huang has led investigations involving compound pendulum responses to ground vibration, showcasing his ability to bridge laboratory models with real-world mechanical systems. He is adept at working with software tools for electromagnetic simulation, signal processing, and tensor-based modeling. Additionally, his experience in teaching advanced courses like stochastic processes and electrodynamics complements his research by reinforcing analytical thinking and clarity in scientific communication. His collaborative work with international institutions also indicates strong project management, cross-cultural coordination, and publication abilities, making him a valuable contributor to multi-institutional and multidisciplinary projects.

Awards and Honors

While specific award titles are not listed, Dr. Yu Huang’s academic and professional trajectory demonstrates recognition through high-impact publications and invited research roles. His visiting scholar appointment at École de Technologie Supérieure, Canada, is a notable academic honor reflecting his global standing in the field. Moreover, he consistently publishes in peer-reviewed, high-indexed journals such as IEEE Transactions on Magnetics, Journal of Magnetism and Magnetic Materials, and Measurement, which are internationally acknowledged platforms for scientific excellence. His ability to produce original, high-value research accepted by such reputable outlets speaks to his credibility and scholarly influence. Within his institution, he holds a senior academic position, indicating peer recognition and trust in his leadership. His ongoing contributions to the university’s curriculum and research landscape may also involve nominations or internal awards, although not explicitly listed. Given his achievements, he is a strong candidate for national and international awards in physics, engineering, and applied science, and this nomination will serve to further highlight and formalize his already distinguished career.

Publications Top Notes

  • A Lossless Scalar Calibration Algorithm Used for Tri-Axial Magnetometer Cross Array and Its Effectiveness Validation, Sensors (Basel, Switzerland), 2025

  • A Compact, Highly Sensitive Optical Fiber Temperature Sensor Based on a Cholesteric Liquid Crystal Polymer Film, Optics Communications, 2025 — 1 citation

  • Scalar Calibration of Total Instrument Errors of Tri-Axial Magnetometer Using Constrained Optimization Independent of Magnetic Field Intensity, IEEE Sensors Journal, 2024 — 1 citation

  • Biomimetic Actuator Based on the Evasion Behavior of Pillbugs in Liquid Crystal Elastomers, ACS Applied Polymer Materials, 2024 — 7 citations

  • Ultra-low Temperature-Responsive Liquid Crystal Elastomers with Tunable Drive Temperature Range, Polymer, 2024 — 4 citations

Conclusion

Dr. Yu Huang exemplifies a well-rounded academic and researcher whose contributions to magnetic detection technologies, geomagnetic localization, and sensor-based navigation systems are noteworthy and impactful. His commitment to research excellence, supported by a strong educational foundation and diverse professional experience, makes him a valuable asset to both the academic and scientific communities. Through innovative thinking, Dr. Huang continues to push the boundaries of applied physics and engineering, while his role as an educator helps nurture the next generation of researchers. His work, grounded in both theoretical rigor and experimental validation, addresses real-world problems in navigation, detection, and vibration control. Recognized through international publications and collaborative engagements, he stands out as a leading researcher in his domain. With continued support, he is poised to expand his research horizons, engage in global collaborations, and contribute to groundbreaking advancements in science and technology. He is undoubtedly deserving of recognition through prestigious international awards.

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

Jidong Jia | Engineering | Best Researcher Award

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Dr. Jidong Jia | Engineering | Best Researcher Award

Hebei University of Technology, China

Jidong Jia is a dedicated and innovative researcher specializing in the fields of intelligent robotics, robot dynamics, human-robot interaction, and adaptive wall-climbing robots. His research has significantly contributed to the development of precise dynamic modeling, intelligent perception, and safety control mechanisms in collaborative robotics. Dr. Jia’s work addresses essential challenges in robot stability, safe human-machine interaction, and intelligent robotic operations in complex environments. His ability to integrate multi-objective optimization, neural network compensation, and dynamic identification methods into practical robotic systems makes his research highly impactful and relevant. Dr. Jia has published extensively in high-impact international journals and conferences, with notable works focusing on magnetic-wheeled wall-climbing robots, dynamic parameter identification, obstacle avoidance, and coupling dynamics in mobile manipulators. His academic excellence has been consistently recognized through prestigious awards, including the Wiley China Excellent Author Program and the Outstanding Doctoral Dissertation Award from Hebei University of Technology. Through his research, Dr. Jia is contributing to advancing intelligent robot design, improving safety in human-robot collaboration, and enhancing robotic performance in real-world applications. His innovative thinking and continuous pursuit of technological breakthroughs highlight his potential to be a leading figure in the robotics community.

Professional Profile

Education

Jidong Jia has pursued a comprehensive educational journey in mechanical engineering and robotics at prestigious Chinese institutions. He began his academic path at Shandong University, where he earned his Bachelor of Science in Mechanical Engineering from September 2010 to June 2014. During this period, he developed a strong foundation in mechanical systems and engineering design. He continued his higher education at the Hebei University of Technology, where he completed an integrated MD-PhD program in Mechanical Engineering from September 2015 to January 2022. This intensive program allowed him to specialize further in intelligent robotic systems, collaborative robot dynamics, and safe human-robot interactions. Complementing his doctoral studies, Dr. Jia participated in a Joint Doctoral Training program at Harbin Institute of Technology (C9 League) from September 2017 to January 2022, focusing on cutting-edge technologies in robot modeling, disturbance estimation, and control mechanisms. His education provided him with a unique interdisciplinary skill set, blending theoretical knowledge with practical research applications. This strong academic background has equipped Dr. Jia with the expertise to address complex challenges in robot dynamics, intelligent operations, and adaptive mechanisms, positioning him to make significant contributions to the robotics field.

Professional Experience

Throughout his academic career, Jidong Jia has gained substantial professional experience through extensive research, development, and collaborative projects within the field of robotics. His research at the Hebei University of Technology and Harbin Institute of Technology focused on developing precise robot dynamic models, safe human-robot interaction mechanisms, and intelligent control systems. Dr. Jia’s hands-on experience includes the design of magnetic-wheeled wall-climbing robots, the creation of adaptive climbing mechanisms, and the implementation of dynamic force estimation and control systems for collaborative robots. His work is highly application-driven, addressing real-world challenges such as facade maintenance, unstructured terrain operations, and obstacle navigation in complex environments. Dr. Jia has led the development of robotic systems that incorporate deep visual reinforcement learning, artificial potential field-based motion planning, and dynamic stability evaluation methods. His involvement in multiple funded research projects and contributions to high-impact journals and international conferences reflect his growing influence in the robotics research community. Dr. Jia’s ability to balance theoretical development with practical engineering solutions has established him as a skilled and promising researcher in robot dynamics, intelligent systems, and safety-focused robotic operations.

Research Interest

Jidong Jia’s primary research interests lie in robot dynamics, human-robot interaction, intelligent robotic operations, and adaptive mechanism design. He focuses on solving critical challenges related to the precise dynamic modeling of collaborative robots, disturbance force estimation, and safe interaction control mechanisms in uncertain environments. His work addresses the growing demand for safety, precision, and adaptability in next-generation robotic systems, particularly those operating in human-centered and unstructured scenarios. Dr. Jia has extensively explored high-load wall-climbing robots, developing intelligent perception systems and control methods for robots navigating complex facades and obstacles. Additionally, his research emphasizes self-stabilizing control strategies and anti-overturning mechanisms for composite robots functioning in dynamic terrains. Dr. Jia’s interests also include robotic learning, neural network compensation, proprioceptive sensing, and dynamic force field mapping. His integration of artificial intelligence with mechanical design allows robots to perceive, adapt, and interact safely and efficiently. Moving forward, Dr. Jia aims to advance research in intelligent autonomous robots, hybrid control systems, and real-time adaptive robotic behaviors that contribute to the safe deployment of collaborative robots in various industrial and social applications.

Research Skills

Jidong Jia possesses a wide range of advanced research skills essential for cutting-edge developments in intelligent robotics. He has expertise in robotic system modeling, particularly in the precise identification of dynamic parameters under multiple uncertainties. Dr. Jia is proficient in developing hybrid dynamic models that incorporate neural network-based error compensation and has successfully proposed online identification and compensation approaches to enhance robotic performance. His skills extend to multi-objective optimization, control theory, and artificial potential field-based motion planning for obstacle avoidance. Dr. Jia is experienced in robotic perception systems, utilizing deep visual reinforcement learning to enable robots to autonomously perceive and navigate complex environments. He has demonstrated capabilities in designing adaptive mechanisms, magnetic-wheeled climbing robots, compliant suspension systems, and anti-overturning mobile manipulators. His technical proficiency includes the development of momentum-based disturbance observers, force-position hybrid control strategies, and proprioceptive sensing-based identification methods. Dr. Jia’s skill set reflects his ability to integrate mechanical engineering principles with intelligent control, simulation, and optimization technologies, allowing him to build safe, efficient, and adaptive robotic systems capable of complex real-world operations.

Awards and Honors

Jidong Jia has received several prestigious awards and honors in recognition of his outstanding academic achievements and research contributions. He was selected for the Wiley China Excellent Author Program in 2025, a distinction awarded to exceptional authors for impactful publications. His doctoral research was acknowledged with the Outstanding Doctoral Dissertation Award from Hebei University of Technology in 2023, underlining the significance of his contributions to robotics and dynamic modeling. In 2022, Dr. Jia’s work was further recognized with the Outstanding Paper Award from the Chinese Journal of Mechanical Engineering, reflecting his ability to produce influential and high-quality research. Earlier in his academic journey, he was awarded the National Scholarship in 2019 by the Ministry of Education of China, a highly competitive honor granted to the top 1% of students nationwide for academic excellence and research potential. These accolades not only validate Dr. Jia’s innovative work in robotics but also emphasize his consistent dedication to advancing knowledge and solving complex engineering problems. His recognition at national and international levels highlights his growing reputation as a talented and impactful researcher in the field.

Conclusion

In conclusion, Dr. Jidong Jia stands out as an accomplished and promising researcher whose contributions significantly advance the fields of intelligent robotics, dynamic modeling, and safe human-robot interactions. His comprehensive educational background, extensive research experience, and innovative problem-solving approach position him as a leader in designing adaptive, intelligent, and safety-conscious robotic systems. Dr. Jia has demonstrated excellence in both theoretical and applied aspects of robotics, contributing to the development of wall-climbing robots, compliant mechanisms, and dynamic anti-overturning solutions for mobile manipulators. His outstanding academic performance and numerous awards further validate his impact and potential. Moving forward, Dr. Jia’s work is expected to play a vital role in shaping the next generation of collaborative robotic systems capable of operating in complex, dynamic, and human-centric environments. By expanding his research through international collaborations and focusing on the translation of his innovations into industrial applications, he can further elevate his influence in the global robotics community. Dr. Jidong Jia’s impressive body of work and forward-thinking research agenda make him an excellent candidate for prestigious recognitions such as the Best Researcher Award.

Publication Top Notes

  1. Development of an Omnidirectional Mobile Passive‐Compliant Magnetic‐Wheeled Wall‐Climbing Robot for Variable Curvature Facades
    Authors: Pei Jia, Jidong Jia, Manhong Li, Minglu Zhang, Jie Zhao
    Year: 2025

  2. Design and Analysis of a Push Shovel‐Type Hull‐Cleaning Wall‐Climbing Robot
    Authors: Pei Yang, Jidong Jia, Lingyu Sun, Minglu Zhang, Delong Lv
    Year: 2024

  3. Innovative Strain Measuring Device with Flex Sensor for Twisted and Coiled Actuator and Dexterous Hand Application
    Authors: Man Wang, Xiaojun Zhang, Minglu Zhang, Manhong Li, Chengwei Zhang, Jidong Jia
    Year: 2024

  4. Enhanced Robot Obstacle Avoidance Strategy: Efficient Distance Estimation and Collision Avoidance for Hidden Robots
    Authors: Xiaojun Zhang, Minglong Li, Jidong Jia, Lingyu Sun, Manhong Li, Minglu Zhang
    Year: 2024

  5. Magnetic Circuit Analysis of Halbach Array and Improvement of Permanent Magnetic Adsorption Device for Wall-Climbing Robot
    Authors: Shilong Jiao, Xiaojun Zhang, Xuan Zhang, Jidong Jia, Minglu Zhang
    Year: 2022

  6. Improved Dynamic Parameter Identification Method Relying on Proprioception for Manipulators
    Authors: Jidong Jia, Minglu Zhang, Changle Li, Chunyan Gao, Xizhe Zang, Jie Zhao
    Year: 2021

  7. Research Progress and Development Trend of the Safety of Human-Robot Interaction Technology
    Authors: Jidong Jia, Minglu Zhang
    Year: 2020

  8. Dynamic Parameter Identification for a Manipulator with Joint Torque Sensors Based on an Improved Experimental Design
    Authors: Jidong Jia, Minglu Zhang, Xizhe Zang, He Zhang, Jie Zhao
    Year: 2019

Omid Bamshad | Civil Engineering | Best Researcher Award

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Dr. Omid Bamshad | Civil Engineering | Best Researcher Award

Researcher from Imam Khomeini International University, Iran

Dr. Omid Bamshad is a distinguished researcher in construction engineering, specializing in sustainable materials, structural optimization, and lifecycle assessment. With a Ph.D. in Construction Engineering and Management from the University of Tehran, he has contributed significantly to the field through extensive research, publications, and academic involvement. His work encompasses innovative approaches to concrete technology, emphasizing durability and environmental impact. Dr. Bamshad’s commitment to advancing construction methodologies is evident in his numerous peer-reviewed articles, patents, and participation in international conferences. His expertise not only enhances academic discourse but also offers practical solutions to contemporary engineering challenges.

Professional Profile

Education

Dr. Bamshad’s academic journey reflects a strong foundation in civil engineering. He earned his Ph.D. in Construction Engineering and Management from the University of Tehran (2021–2024), achieving a GPA of 19.17. Prior to this, he completed his M.Sc. in Structural Engineering at the same institution (2015–2018) with a GPA of 16.30. His undergraduate studies culminated in a B.Sc. in Civil Engineering from Imam Khomeini International University (2011–2015), where he graduated with a GPA of 18.08. This progression showcases his dedication to academic excellence and a deepening specialization in construction and structural engineering disciplines.

Professional Experience

Dr. Bamshad’s professional experience spans academia, research, and industry. Since 2022, he has served as a Concrete and Building Materials Laboratory Expert at Imam Khomeini International University. His editorial roles include Specialized Secretary for the Biannual Journal of Construction Engineering and Management (2023–Present) and Editorial Board Member for the International Conference on “Construction Engineering” in Syria (2024). He has also contributed as a Technical Committee Member for the International Conference “Empowering Tomorrow: Clean Energy, Climate Action, and Responsible Production” in Russia (2024). His industry experience includes a tenure as Site Supervisor at Pezhvak Moj Qazvin Company (2016–2021), complemented by Grade 3 Supervision and Execution Qualifications from the Qazvin Province Engineering Organization.

Research Interests

Dr. Bamshad’s research interests are centered on sustainable construction materials, structural optimization, and lifecycle assessment. He focuses on the development and evaluation of recycled aggregate concrete, exploring its long-term performance under various environmental conditions. His work also delves into the application of machine learning techniques for predicting material behavior and optimizing construction processes. Additionally, he investigates the integration of circular economy principles in construction practices, aiming to enhance resource efficiency and environmental sustainability within the industry.

Research Skills

Dr. Bamshad possesses a comprehensive skill set that supports his research endeavors. He is proficient in structural analysis and design software such as ETABS, SAP2000, SAFE, and AutoCAD, facilitating complex modeling and simulation tasks. His expertise extends to finite element analysis using ABAQUS and performance-based design with Perform 3D. He is adept at statistical analysis and optimization techniques, utilizing tools like Minitab and Crystal Ball. His familiarity with OpenSees enables advanced structural simulations, while his knowledge of MS Project aids in effective project planning and control.

Awards and Honors

Dr. Bamshad’s contributions have been recognized through various awards and honors. He was named the Top Graduate in both his B.Sc. program at Imam Khomeini International University and his Ph.D. program at the University of Tehran. In 2015, he secured the 8th place in the National Civil Engineering Olympiad and achieved 1st place in the “Toughest Bridge” category of the National Steel Bridge Competition. His exceptional performance has also earned him recognition as an Elite Soldier by the National Elites Foundation, underscoring his commitment to excellence in the field of civil engineering.

Conclusion

Dr. Omid Bamshad exemplifies the qualities of an outstanding researcher in construction engineering. His academic achievements, coupled with a robust portfolio of research and professional experience, position him as a leader in sustainable construction practices. His interdisciplinary approach, integrating advanced technologies and environmental considerations, addresses critical challenges in the industry. Dr. Bamshad’s dedication to innovation and knowledge dissemination makes him a valuable asset to both academia and the broader engineering community. His profile aligns seamlessly with the criteria for the Best Researcher Award, reflecting his significant impact on the field.

Publications Top Notes

  1. Long-term corrosion behavior of reinforced recycled aggregate concrete under acid rain condition
    Bamshad, O., Hakamian, I., Shirvani, M.F., Habibi, A., and Mahdikhani, M. (2025)

  2. Freeze-thaw resistance and chloride permeability of circular CKD-based alkali-activated concrete
    Bamshad, O., Ramezanianpour, A. M., and Habibi, A. (2025, August)

  3. Long‐term performance of recycled aggregate concrete incorporating natural zeolite
    Aghililotf, M., Ramezanianpour, A. M., Bamshad, O., and Hajimohammadi, A. (2025)

  4. Mapping and analyzing the cause-and-effect network between the risks of residential building projects in Iran: An approach based on social network analysis (SNA)
    Aghililotf, M., Heydari, M. M., Soltani Halvaei, N., Ramezanianpour, A. M., and Bamshad, O. (2025)

  5. Review of different approaches in determining the criteria for measuring the success in construction projects
    Aghili Lotf, M., Arbabi, H., Ramezanianpour, A. M., Bamshad, O., and Heydari, M. M. (2024)

  6. An Introduction to Leadership Studies in Construction Project Management
    Aghili Lotfi, M., Jafari, T., Ramezanianpour, A. M., Bamshad, O., and Heidari, M. M. H. (2024)

  7. A Critique of the Importance and Status of the Construction Industry in Iran (Features and Challenges)
    Aghili Lotf, M., Heydari, M. M., Ramezanianpour, A. M., and Bamshad, O. (2024)

  8. Optimizing concrete for circularity: a comparative life cycle assessment of geopolymer and ordinary concrete
    Bamshad, O., and Ramezanianpour, A. M. (2024)

  9. Predicting corrosion of recycled aggregate concrete under sulfuric acid rain using machine learning and uncertainty analysis
    Bamshad, O., Jamhiri, B., Habibi, A., Salehi, S., Aziminezhad, M., and Mahdikhani, M. (2024)

  10. Biases in Life Cycle Assessment of Circular Concrete from Ignoring End-of-Life Scenarios and Service Life Time
    Habibi, A., Javadpour, M., Bamshad, O., and Golzary, A. (2024)

 

Seyed Sepehr Mohseni | Engineering | Best Researcher Award

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Mr. Seyed Sepehr Mohseni | Engineering | Best Researcher Award

University of Tehran from Switzerland. 

Seyed Sepehr Mohseni is a biomedical engineer specializing in microfluidics, microfabrication, and biomechanics. With a keen interest in developing innovative microfluidic platforms for biological and clinical applications, his research addresses vital issues in cell sorting, cancer diagnostics, and organ-on-a-chip technologies. Having completed both his Bachelor’s and Master’s degrees with distinction in biomedical engineering, he has already contributed to several high-impact journal articles and conference presentations. His master’s thesis focused on the separation of circulating tumor cells (CTCs) using a novel arc-shaped microfluidic channel, which showcases his strength in problem-solving and innovation. Beyond academia, he has volunteered as a technical expert in the medical device field and worked on collaborative research projects involving cell culture and biosensor development. Seyed Sepehr’s combined academic excellence, laboratory expertise, and interdisciplinary research experience reflect his deep commitment to advancing biomedical technologies. His work not only aligns with current trends in healthcare engineering but also holds significant potential for clinical impact. As a young researcher with a growing international presence, he demonstrates strong potential for leadership in biomedical research. He is well-positioned for prestigious recognitions such as the Best Researcher Award, owing to his innovative contributions and academic accomplishments in a relatively short span.

Professional Profile

Education

Seyed Sepehr Mohseni holds a Master of Science in Biomedical Engineering with a specialization in Biomechanics from the University of Tehran, Iran. He pursued his postgraduate studies at the Faculty of New Sciences and Technologies, completing his degree in July 2021. His master’s thesis, titled “CTCs separation by an obstacles-embedded arc-shaped microfluidic channel”, was awarded an excellent grade of 20/20, under the supervision of Dr. Ali Abouei Mehrizi. He graduated with a total GPA of 18.03/20, reflecting consistent academic performance across advanced engineering courses, including finite element methods, continuum mechanics, and biological modeling. Prior to that, he earned his Bachelor of Science in Biomedical Engineering, also in Biomechanics, from the Science and Research Branch of Islamic Azad University in Tehran, graduating in 2017. He maintained a strong GPA of 18.51/20 and ranked second among his cohort. Throughout both degrees, Seyed Sepehr showed an aptitude for interdisciplinary learning, bridging biology with engineering fundamentals. His academic record is supported by top national rankings in university entrance examinations, highlighting his early dedication to academic excellence and biomedical innovation. These achievements laid the foundation for his advanced research in microfluidics and device development for healthcare applications.

Professional Experience

Seyed Sepehr Mohseni has amassed a diverse portfolio of professional and research-oriented experiences that complement his academic training. During his postgraduate studies, he actively contributed to laboratory-based research at the Bio-Microfluidics Lab at the University of Tehran. His responsibilities included hands-on work with microfluidic device fabrication, droplet generators, cell sorting platforms, and fluorescence microscopy. He also served as a teaching assistant across multiple core engineering courses, including finite element methods, biomechanics, and biological system simulations, under the mentorship of Dr. Ali Abouei Mehrizi. In addition to his academic roles, Seyed Sepehr has gained industry-relevant experience. From 2019 to 2023, he worked as a technical expert at Setareh Kimia Persian Engineering Company, where he specialized in calibrating medical and laboratory devices. He also served as a technical supervisor for medical equipment importers and manufacturers with the General Directorate of Medical Equipment in Iran. In 2023, he joined a project at Iran University of Medical Sciences, focusing on the isolation of circulating tumor cells from blood samples, further integrating clinical applications with his engineering expertise. This breadth of experience reflects his ability to bridge research, industry, and healthcare regulation—key elements of a well-rounded biomedical professional.

Research Interest

Seyed Sepehr Mohseni’s research interests are centered around the development and application of microfluidic technologies in biomedical engineering. He is particularly focused on microfabrication, organ-on-a-chip systems, and cell culture platforms, aiming to address challenges in diagnostics, therapeutic monitoring, and disease modeling. His graduate thesis on CTC separation using an arc-shaped deterministic lateral displacement microchannel highlights his interest in cancer research and lab-on-a-chip solutions for non-invasive diagnostics. His scientific curiosity extends to biosensing applications, including the use of porous silicon integrated microchannels and reflectometric interference Fourier transform spectroscopy. He is also interested in biomaterials and hydrogel-based tissue engineering, as demonstrated in collaborative projects involving VEGF delivery systems and bone regeneration scaffolds. Seyed Sepehr’s interdisciplinary perspective allows him to combine mechanical design principles with biological applications, making his research highly relevant to current needs in precision medicine. With a growing interest in organ-on-a-chip and microfluidics-enabled point-of-care testing, his long-term vision involves developing platforms that enhance personalized healthcare. His research is aligned with global trends in translational medicine, aiming to move scientific innovation from the lab bench to clinical practice. This strong alignment of technical knowledge with clinical relevance defines his growing impact in the biomedical field.

Research Skills

Seyed Sepehr Mohseni brings a comprehensive set of research skills that span both computational and experimental domains in biomedical engineering. He is highly proficient in using simulation and modeling software such as COMSOL Multiphysics, MATLAB, ABAQUS, and Ansys Fluent, which he applies in the design and analysis of microfluidic devices and biomechanical systems. His academic background is strengthened by a deep understanding of finite element methods, continuum mechanics, and biological system simulations. In the laboratory, Seyed Sepehr has advanced expertise in microfabrication techniques such as photolithography and soft lithography. He has operated and analyzed microfluidic systems involving droplet generation, micromixing, and cell separation. His work is supported by imaging techniques, including fluorescence and confocal microscopy, as well as experience in 3D bioprinting and mammalian cell culture. These laboratory skills were honed through years of hands-on experience in the Bio-Microfluidics Lab at the University of Tehran. Additionally, he is adept in data visualization and analysis software such as Origin, Tracker, and ImageJ/Fiji, along with graphic design tools like Adobe Photoshop and Illustrator. His interdisciplinary competence allows him to transition smoothly from computational modeling to experimental implementation, which is essential for innovative research in biomedical device development.

Awards and Honors

Seyed Sepehr Mohseni has received multiple academic distinctions that reflect his high level of competence and commitment to biomedical engineering. In 2021, he was ranked first among the 2018 M.Sc. entrants in Biomedical Engineering at the Faculty of New Sciences and Technologies, University of Tehran. This recognition is a testament to his consistent academic excellence and outstanding performance in research-based coursework and laboratory activities. Earlier in his academic journey, he achieved second rank among all undergraduate entrants in Biomedical Engineering at Islamic Azad University in 2014. More notably, in the same year, he was ranked in the top 1% of participants in Iran’s highly competitive national university entrance exam for M.Sc. programs in Mechanical Engineering. These achievements highlight his intellectual rigor and early promise as a future leader in engineering research. His consistent high GPA throughout his academic career and the excellent grade for his master’s thesis further reinforce his qualifications. These honors, combined with his publication record in high-impact journals and active involvement in innovative research, make him a strong candidate for recognition through awards such as the Best Researcher Award. They confirm both his academic credibility and his potential to contribute significantly to the field.

Conclusion

In conclusion, Seyed Sepehr Mohseni stands out as a dedicated and innovative biomedical researcher with a strong foundation in both theory and practical application. His focused research on microfluidic systems, cell sorting technologies, and biosensing reflects a clear vision for solving contemporary challenges in healthcare engineering. He has already made meaningful contributions to the field through his publications, laboratory innovations, and cross-disciplinary collaborations. While his professional experience is still developing, it includes diverse roles in teaching, laboratory research, and clinical collaboration—all of which enrich his research profile. His ability to integrate engineering design with biological functionality demonstrates a maturity of thought uncommon in early-career researchers. Although he is yet to pursue a doctoral degree or lead large-scale independent projects, his current trajectory strongly suggests readiness for further academic advancement and leadership roles in biomedical research. Seyed Sepehr’s academic performance, technical expertise, and innovative outlook make him an ideal candidate for competitive research honors. The Best Researcher Award would not only recognize his current accomplishments but also encourage and support a promising career that is likely to yield significant impact in translational medicine and biomedical device development.

Publications Top Notes

  • Title: Preparation of microfluidic-based pectin microparticles loaded carbon dots conjugated with BMP-2 embedded in gelatin-elastin-hyaluronic acid hydrogel scaffold for bone tissue
    Authors: F. Moztarzadeh, M. Farokhi, A.A. Mehrizi, H. Basiri, S.S. Mohseni
    Journal: International Journal of Biological Macromolecules
    Volume/Page: 184, 29–41
    Year: 2021
    Citations: 60

  • Title: Machine learning-aided microdroplets breakup characteristic prediction in flow-focusing microdevices by incorporating variations of cross-flow tilt angles
    Authors: B. Talebjedi, A. Abouei Mehrizi, B. Talebjedi, S.S. Mohseni, N. Tasnim, …
    Journal: Langmuir
    Volume/Issue/Page: 38 (34), 10465–10477
    Year: 2022
    Citations: 14

  • Title: Microfluidic platforms for cell sorting
    Authors: F. Mirakhorli, S.S. Mohseni, S.R. Bazaz, A.A. Mehrizi, P.J. Ralph, M.E. Warkiani
    Journal: Sustainable Separation Engineering: Materials, Techniques and Process
    Year: 2022
    Citations: 12

  • Title: A Novel Strategy for Square-Wave Micromixers: A Survey of RBC Lysis for Further Biological Analysis
    Authors: A.H. Hazeri, A. Abouei Mehrizi, S.S. Mohseni, M. Ebrahimi Warkiani, …
    Journal: Industrial & Engineering Chemistry Research
    Volume/Issue/Page: 62 (40), 16215–16224
    Year: 2023
    Citations: 6

  • Title: Composite Microgels for Imaging-Monitored Tracking of the Delivery of Vascular Endothelial Growth Factor to Ischemic Muscles
    Authors: H. Basiri, S.S. Mohseni, A. Abouei Mehrizi, A. Rajabnejadkeleshteri, …
    Journal: Biomacromolecules
    Volume/Issue/Page: 22 (12), 5162–5172
    Year: 2021
    Citations: 4

  • Title: Flow rate controlling by capillary micropumps in open biomicrofluidic devices
    Authors: S. Fathi, S.S. Mohseni, A.A. Mehrizi
    Conference: 2020 27th National and 5th International Iranian Conference on Biomedical Engineering
    Year: 2020
    Citations: 4

  • Title: A novel microfluidic platform for MCF-7 separation: Arc-shaped deterministic lateral displacement microchannel
    Authors: S.S. Mohseni, A.A. Mehrizi, S. Fathi
    Journal: Microchemical Journal
    Volume/Page: 211, 113076
    Year: 2025

Yuqing Hu | Engineering | Outstanding Contribution Award

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Mr. Yuqing Hu | Engineering | Outstanding Contribution Award

Vice President from Chongqing Institute of Surveying and Monitoring for Planning and Natural Resources, China

Yuqing Hu is a distinguished professional in the field of geographic information systems and cadastral surveying, currently serving as the Vice Dean at the Chongqing Planning and Natural Resources Survey and Testing Institute. With over three decades of experience in land resource management, Hu has demonstrated exceptional expertise in leading high-impact projects related to land survey, cadastral mapping, and real estate registration. His career has been marked by a continuous trajectory of advancement through various leadership roles across government and technical institutions. Hu has played a pivotal role in the development of several award-winning systems and technologies that have advanced the precision and efficiency of land monitoring and property registration processes in China. His efforts have been formally recognized through numerous national-level awards, including the Science and Technology Progress Award and multiple Excellent Engineering Awards. He is also credited as a key contributor to patented innovations and published research. Through his combined experience in technology, policy, and strategic leadership, Yuqing Hu has significantly contributed to the modernization and digital transformation of natural resource monitoring and land information systems. His achievements position him as a highly suitable candidate for honors recognizing outstanding contributions to applied research and development.

Professional Profile

Education

Yuqing Hu holds a Bachelor’s degree in Engineering, majoring in Cartography, from Wuhan University of Surveying and Mapping, one of China’s foremost institutions in the field of geospatial sciences. He completed his studies from 1988 to 1992, laying a strong academic foundation in geographic information systems, topographic science, and land surveying technologies. During his time at Wuhan University, Hu received training in advanced mapping techniques and cadastral analysis, which would later become central to his professional expertise. The program provided a rigorous blend of theoretical knowledge and practical application, allowing him to develop early proficiency in geospatial data interpretation, field mapping, and land resource planning. His education equipped him with a solid understanding of both the technical and regulatory frameworks underpinning land survey and natural resource governance in China. This academic background continues to underpin his contributions to cadastral reform, land registration system design, and geospatial data-driven policy implementation. Hu’s academic credentials, combined with his professional trajectory, reflect a rare synergy of educational excellence and applied technological leadership, making him an authority in the domains of cartography, property data modeling, and land information systems.

Professional Experience

Yuqing Hu has built an extensive professional career spanning over 30 years, largely centered around land surveying, cadastral registration, and geographic information system (GIS) development. Beginning in 2013, he served as Vice President and Party Committee Member of the Chongqing Land Resources and Housing Survey and Planning Institute. He then held several key leadership roles, including Deputy Director of the Chongqing Land and Housing Ownership Registration Center and Deputy Director of the Chongqing Real Estate Registration Center. Between 2019 and 2022, he led the Nan’an Real Estate Registration Center as Secretary and Director of the Party Branch, during which he was appointed as a third-level professional technician. Since December 2022, Hu has served as Vice President of the Chongqing Planning and Natural Resources Survey and Testing Institute, where he continues to guide major initiatives related to urban and rural land administration, cadastral data integration, and natural resource monitoring. He is recognized for his technical expertise at the Level 3 level and recently qualified as a registered surveyor. His professional journey reflects a rare combination of strategic leadership and deep technical capability, making him an influential figure in public land management and spatial information infrastructure in China.

Research Interests

Yuqing Hu’s research interests are centered on cadastral surveying, property rights registration systems, land resource planning, and the integration of geospatial technologies into real-world governance frameworks. His focus includes the development and application of automated 3D modeling systems, intelligent land monitoring technologies, and the design of digital platforms for real estate data management. Hu is particularly interested in how visual programming languages and intelligent data processing can enhance the precision and efficiency of property rights modeling. He is also engaged in rural land reform projects, focusing on integrated systems for real estate registration and cadastre database construction. As land reform and digital governance remain critical to sustainable development, Hu’s research extends to the intersection of technology, urban planning, and policy implementation. His work contributes to improving the accuracy, interoperability, and efficiency of cadastral systems across diverse and complex terrain. Furthermore, he is involved in research that addresses the digital transformation of traditional surveying methods, helping to develop scalable and cost-effective solutions for local and national governments. Hu’s interests support the advancement of a modernized, transparent, and intelligent land governance infrastructure in China.

Research Skills

Yuqing Hu possesses a comprehensive skill set that combines technical, managerial, and analytical proficiencies in the field of land and resource surveying. His core skills include high-precision cadastral surveying, GIS-based spatial data analysis, automated 3D modeling of property rights, and system integration for land registration platforms. He is highly skilled in designing and implementing intelligent investigation and monitoring systems for natural resources in both urban and rural settings. His expertise extends to the use of visual programming languages to automate property data modeling and stratification. Hu has a strong command over database management systems related to land and housing records and is proficient in integrating these systems with real-time monitoring technologies. As a qualified registered surveyor, he brings practical experience to legal and regulatory aspects of land ownership documentation. In addition to technical competencies, he has demonstrated project management skills through his leadership of large-scale government projects, often involving interdisciplinary collaboration. His ability to bridge the gap between technical development and policy application allows him to deliver solutions that are not only technologically advanced but also compliant with legal and administrative frameworks.

Awards and Honors

Yuqing Hu has been the recipient of multiple prestigious awards that recognize his outstanding contributions to geographic information science and cadastral engineering. He ranked second in the Science and Technology Progress Award issued by the China Geographic Information Industry Association for his work on high-precision intelligent monitoring systems. He also earned the Excellent Engineering Gold Award for his role in developing the application system for the Chongqing branch of the National Land Survey Cloud. Additionally, Hu led the “Chongqing Natural Resources Cadastre Survey and Database Construction” project, which won the Silver Award from the Chinese Society of Surveying and Mapping, where he was ranked first. His project on rural real estate registration earned the National Excellent Surveying and Mapping Engineering Award. Moreover, he co-authored a patented invention related to automatic modeling based on property stratification and mapping, solidifying his role as an innovator in land information systems. He has also contributed to internationally indexed research with publications such as one in Advances in Civil Engineering. These honors reflect his sustained impact, leadership, and commitment to technological innovation in land governance and resource monitoring.

Conclusion

In conclusion, Yuqing Hu exemplifies the qualities of an outstanding researcher and innovator in the domains of land surveying, cadastral information systems, and digital governance of natural resources. His rich combination of leadership experience, technical skill, and recognized contributions positions him as a significant figure in the transformation of China’s land and property registration infrastructure. The national-level awards he has received demonstrate his capacity to deliver practical, high-impact solutions with both scientific and societal value. While his international academic visibility could be further expanded, his influence in applied research and engineering is already well-established. Hu’s involvement in strategic projects that digitize and modernize traditional land management practices signifies a long-term commitment to national development priorities and sustainable land use planning. His ability to translate complex technical ideas into scalable, policy-aligned solutions makes him highly suitable for recognition under the Research for Outstanding Contribution Award. His work not only addresses immediate governmental and public sector needs but also sets a benchmark for innovation in spatial information systems and cadastral technology development.

Publications Top Notes

  • Title: Automatic Construction of 3D Building Property Rights Model Based on Visual Programming Language in China

  • Authors: Qin, Guocheng; Hu, Yuqing; Wang, Ling; Liu, Ke; Hou, Yimei

  • Journal: Advances in Civil Engineering

  • Year: 2024