Chenna Rajaram | Research Excellence | Research Excellence Award

Dr. Chenna Rajaram | Research Excellence | Research Excellence Award

Rajeev Gandhi Memorial College of Engineering and Technology | India

Dr. Chenna Rajaram, Associate Professor of Civil Engineering at Rajeev Gandhi Memorial College of Engineering and Technology, specializes in Earthquake Engineering and Structural Dynamics. His research focuses on non-linear structural analysis, numerical simulation of near-fault ground motions, and machine learning applications in seismic assessment. He has published 37 journal and 25 conference papers, with 15 indexed in WoS, and guided multiple PhD and PG students. Dr. Rajaram actively contributes to knowledge on seismic evaluation, applied element methods, and disaster-resilient design. Recognized for research excellence, he has received national and international awards, including VISTA Young Faculty and Best Researcher accolades.

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Featured Publications

Amir H. Navarchian | Research Excellence | Research Excellence Award

Prof. Amir H. Navarchian | Research Excellence | Research Excellence Award

Prof. Amir H. Navarchian | University of Isfahan | Iran

Prof. Amir H. Navarchian is a distinguished Professor of Chemical and Polymer Engineering at the University of Isfahan, Iran. He earned his B.Sc. in Chemical Engineering from Isfahan University of Technology, and his M.Sc. and Ph.D. in Chemical Engineering from Tarbiat Modares University, Tehran. He has completed postdoctoral research at the University of Groningen, Netherlands, focusing on polyurethane rheokinetics, and a sabbatical at the University of Waterloo, Canada, investigating polyvinyl acetate as a polymer binder for hybrid aqueous batteries. Prof. Navarchian’s research spans polymer membranes, polymer gas sensors, self-healing composites, and polymerization engineering. He has published extensively, with over 25 journal articles covering polymer/clay nanocomposites, emulsion polymerization, polyurethane chemistry, and molecular simulation studies. His work on PVC/clay nanocomposites led to a patented in-situ polymerization method registered in Iran in 2017. He has also contributed to industrial projects with leading Iranian companies, including the Iranian National Petrochemical Company and Mobarakeh Steel Company, and served as a technical consultant on PVC production processes at Arvand Petrochemical Complex. As an educator, Prof. Navarchian teaches both undergraduate and graduate courses, including Advanced Membrane Process Engineering, Polymerization Reaction Engineering, and Design of Experiments. He actively mentors graduate students in chemical and polymer engineering. He is a member of the Iranian Chemical Engineering Association, Iranian Polymer Engineering Association, and Iranian Composite Association. With a Google Scholar H-index of 21 and i10-index of 41, his research has significantly impacted polymer science, nanocomposites, and industrial polymer processes. Prof. Navarchian combines academic excellence with industrial relevance, driving innovation in polymer engineering while fostering the next generation of engineers through teaching, research, and applied consultancy.

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Featured Publications

Qihang Li | Research Excellence | Research Excellence Award

Dr. Qihang Li | Research Excellence | Research Excellence Award

Chongqing University | China

Dr. Qihang Li, Ph.D. from Chongqing University, is an emerging researcher specializing in underground energy storage, rock mechanics, and geotechnical monitoring. His core research focuses on evaluating the feasibility, stability, and airtightness of storing compressed air, natural gas, hydrogen, and carbon dioxide in low-grade salt caverns filled with sediments—a critical direction for advancing large-scale, safe, and sustainable subsurface energy storage technologies. In addition to his contributions to underground storage engineering, Dr. Li integrates computer vision technology into geotechnical applications. He has conducted innovative work on rock and slope monitoring, early-warning systems, and image-recognition–based hazard detection, strengthening the interdisciplinary link between geomechanics and intelligent sensing. Over the past five years, Dr. Li has demonstrated strong research leadership. He has chaired one postgraduate scientific research innovation project and served as a key contributor to more than 10 major research initiatives, including national key R&D sub-projects, general and regional foundation programs, youth funds, and industry–academia collaborative projects. Dr. Li has an impressive publication record, with 45 papers published or accepted—35 indexed in SCI. As the first or corresponding author, he has produced 25 articles in top-tier SCI journals, such as Energy Storage Materials, International Journal of Mining Science and Technology, Chemical Engineering Journal, Journal of Rock Mechanics and Geotechnical Engineering, and Journal of Cleaner Production. His cumulative impact factor exceeds 152.5, with more than 1,100 ResearchGate citations and an H-index of 18. His contributions include 8 ESI Highly Cited/Hot Papers and 2 papers cited over 100 times.

 

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Featured Publications

Lian-Wang Guo | Innovation Impact | Best Researcher Award

Dr. Lian-Wang Guo | Innovation Impact | Best Researcher Award

Dr. Lian-Wang Guo | University of Virginia | United States

The Guo Lab at the University of Virginia investigates the fundamental and translational biology of vascular wall remodeling and retinal degeneration, with a central focus on how epigenetic mechanisms drive pathological cell-state transitions. Specifically, the group studies the roles of histone-code “readers” and “writers” in orchestrating chromatin dynamics that contribute to disease progression. By dissecting how these epigenetic regulators influence cellular phenotypes, the lab seeks to identify novel therapeutic targets capable of preventing or reversing harmful remodeling processes. A major emphasis of the lab’s work is bridging mechanistic discoveries with translational innovation. Their research pipeline spans from uncovering basic molecular dysfunctions to engineering practical therapeutic interventions. For instance, the Guo Lab investigates the epigenetic underpinnings of vascular wall thickening and stenosis following surgical procedures such as vein grafting and angioplasty. These studies illuminate how chromatin dysregulation contributes to post-surgical complications and guides the development of targeted therapeutic strategies. In parallel, the lab collaborates with surgeons and bioengineers to design precision delivery systems for chromatin-modulating “epi-drugs.” One pioneering approach involves the creation of bio-adhesive nanoparticles engineered to be “painted” directly onto vein grafts, aiming to preserve long-term graft patency. Another strategy focuses on combating restenosis after angioplasty by developing injectable biomembrane-camouflaged carriers capable of homing in on vascular lesions. These cutting-edge delivery systems enhance therapeutic specificity and minimize off-target effects, accelerating the translation of epigenetic therapies into clinically viable solutions. The lab’s innovative research direction has resulted in multiple approved and pending patents, demonstrating its impact at both scientific and translational fronts. Ultimately, the Guo Lab strives to solve critical medical challenges by targeting dysregulated epigenetic mechanisms and ensuring a seamless continuum from mechanistic discovery to therapeutic application.

Profile: Google Scholar

Featured Publications

Klionsky, D. J., Abdel-Aziz, A. K., Abdelfatah, S., Abdellatif, M., Abdoli, A., Abel, S., … (2021). Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition). Autophagy, 17(1), 1–382.

Kumar, A., D’Souza, S. S., Moskvin, O. V., Toh, H., Wang, B., Zhang, J., Swanson, S., … (2017). Specification and diversification of pericytes and smooth muscle cells from mesenchymoangioblasts. Cell Reports, 19(9), 1902–1916.

Yu, Q., Wang, B., Chen, Z., Urabe, G., Glover, M. S., Shi, X., Guo, L.-W., Kent, K. C., & Li, L. (2017). Electron-transfer/higher-energy collision dissociation (EThcD)-enabled intact glycopeptide/glycoproteome characterization. Journal of the American Society for Mass Spectrometry, 28(9), 1751–1764.

Borck, P. C., Guo, L.-W., & Plutzky, J. (2020). BET epigenetic reader proteins in cardiovascular transcriptional programs. Circulation Research, 126(9), 1190–1208.

Goel, S. A., Guo, L.-W., Liu, B., & Kent, K. C. (2012). Mechanisms of post-intervention arterial remodelling. Cardiovascular Research, 96(3), 363–371.

Zent, J., & Guo, L.-W. (2018). Signaling mechanisms of myofibroblastic activation: Outside-in and inside-out. Cellular Physiology and Biochemistry, 49(3), 848–868.

DiRenzo, D. M., Chaudhary, M. A., Shi, X., Franco, S. R., Zent, J., Wang, K., Guo, L.-W., … (2016). A crosstalk between TGF-β/Smad3 and Wnt/β-catenin pathways promotes vascular smooth muscle cell proliferation. Cellular Signalling, 28(5), 498–505.

Nasser Fallah | Research Excellence | Best Researcher Award

Dr. Nasser Fallah | Research Excellence | Best Researcher Award 

Dr. Nasser Fallah | University of Zabol | Iran

Dr. Naser Fallah is an Associate Professor of English Language Teaching at the University of Zanjan, where he also serves as the Head of the English Department. He earned his PhD in English Language Education from Tarbiat Modares University and has extensive experience in both teaching and research. His scholarly interests focus on the psychology of language learning and teaching, second language motivation, mindfulness, teacher education, higher education, and the intersection of entrepreneurship and career planning. Dr. Fallah teaches courses in language teaching methodology, language testing, psychology of second language learning, classroom management, research methods, and teaching practicum. His research explores themes such as teacher autonomy and clarity, learner engagement, mindfulness, anxiety, burnout, entrepreneurial intention, and the humanization of second language education. He has published widely in prestigious journals, contributing significantly to our understanding of effective teaching practices, learner motivation, and the psychological factors that influence language acquisition. His work emphasizes empowering learners, supporting teachers, and fostering positive educational environments that integrate both academic and personal development.

Profiles:  Orcid | Google Scholar

Featured Publications

allah, N., Lotfi Gaskaree, B., & Zahedi Moghaddam, S. (2025). Teacher enthusiasm and EFL learners’ willingness to communicate: The role of enjoyment and boredom. English Teaching & Learning. https://doi.org/10.1007/s42321-024-00190-z

Khabar, M., Fallah, N., & Lotfi Gaskaree, B. (2025). Teacher autonomy support and student agentic engagement in EFL context: The mediating role of learning empowerment. Educational Psychology. https://doi.org/10.1080/01443410.2025.2567553

Taghavi-Nejad, F. S., Fallah, N., & Lotfi Gaskaree, B. (2024). Mindfulness and procrastination among university EFL learners: The role of attention control and self-regulated learning. Psychological Reports. https://doi.org/10.1177/00332941241287423

Fallah, N., Abdolahzadeh, F., & Yaaghobi, M. (2023). Mindfulness and anxiety among foreign language teachers: The role of cognitive reappraisal and self-efficacy. Mindfulness. https://doi.org/10.1007/s12671-023-02259-5

Fallah, N., Abdolahzadeh, F., & Lotfi, B. (2023). Examining the interconnections among entrepreneurial passion, need for achievement, social support, entrepreneurial self-efficacy, and entrepreneurial intention among foreign language learners: A moderated mediation model. Entrepreneurship Education.

Sayak Chatterjee | Research Excellence | Best Researcher Award

Dr. Sayak Chatterjee | Research Excellence | Best Researcher Award

Dr. Sayak Chatterjee | University of Massachusetts | United States

Dr. Sayak Chatterjee is a distinguished Postdoctoral Research Scholar in the Department of Physics at the University of Massachusetts Amherst, USA, specializing in experimental high-energy nuclear and particle physics. His research focuses on precision measurements, detector development, and high-rate data acquisition systems for frontier experiments such as MOLLER at Jefferson Lab and CBM at FAIR, Germany. With advanced expertise in Gas Electron Multipliers (GEM), Cherenkov detectors, and GEANT4-based simulations, he has contributed significantly to detector innovation and performance optimization. Dr. Chatterjee has an impressive academic record, authoring 44 research documents with 179 citations and an h-index of 7, reflecting the impact of his contributions to detector physics. His scholarly excellence has been recognized through multiple international honors, including the Ernest Rutherford Best Researcher Award and the Young Research Grant at the Pisa Meeting on Advanced Detectors, Italy. Beyond research, he serves on editorial boards, reviews for leading journals, and actively mentors students, embodying excellence in both scientific innovation and academic leadership.

Profiles:  ORCID | Scopus | Google Scholar | LinkedIn

Featured Publications

Chatterjee, S. (2025). Characterization of Cherenkov detectors for the MOLLER experiment. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment.

Mandal, S., Chatterjee, S., Sen, A., Gope, S., Dhani, S., Hegde, A. C., … (2024). Investigation of the stability in the performance of triple GEM detectors for High Energy Physics experiments. Nuclear Instruments and Methods in Physics Research Section A.

Chatterjee, S., Sen, A., Das, S., & Biswas, S. (2023). Charging-up effect and uniformity study of a single mask triple GEM detector. Nuclear Instruments and Methods in Physics Research Section A.

Chatterjee, S., Sen, A., Das, S., & Biswas, S. (2023). Effect of relative humidity on the long-term operation of a single mask triple GEM chamber. Nuclear Instruments and Methods in Physics Research Section A.

Sen, A., Chatterjee, S., Das, S., & Biswas, S. (2023). Characterization of a new RPC prototype using conventional gas mixture. Nuclear Instruments and Methods in Physics Research Section A.

Mansour Amini | Research Excellence | Innovative Research Award

Dr. Mansour Amini | University Sains Malaysia | Innovative Research Award 

Dr. Mansour Amini | University Sains | Malaysia

Dr. Mansour Amini is a distinguished academic, researcher, and translator whose expertise spans translation studies, applied linguistics, and English language teaching. He serves as a senior lecturer at Universiti Sains Malaysia, where he contributes actively to teaching, research, and postgraduate supervision. His professional journey includes leadership roles in higher education, where he has coordinated courses, guided research teams, and contributed to programme development and innovation. Fluent in multiple languages, including English, Persian, Azerbaijani, and Turkish, with working knowledge of others, he brings a unique cross-cultural perspective to his scholarship. Dr. Amini’s research covers translation quality assessment, interpreting, language pedagogy, feedback practices, and the integration of artificial intelligence in translation studies. He has published widely in reputable international journals, with his body of work comprising more than forty scholarly documents that have collectively earned over 216 citations across more 152  academic sources, reflected in a citation index of 7. Beyond research, he has been recognized with awards for teaching excellence, academic leadership, and impactful scholarly contributions. His professional engagements also extend to international collaborations, visiting professorships, and fellowships, reflecting his global academic footprint. Dedicated to fostering academic growth, he continues to inspire students and colleagues through innovative research, interdisciplinary collaboration, and a passion for multilingual education.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

Amini, M. (2025). Book review: AI revolution: Profitable opportunities in the age of artificial intelligence. Journal of Multidisciplinary in Social Sciences.

Amini, M., & Zahabi, A. (2025). Communicating across borders: Unveiling the pragmatic foundations in applied linguistics. International Review of Pragmatics.

Amini, M., Lee, K.-F., & Yiqiu, W., & Ravindran, L. (2025). Proposing a framework for ethical use of AI in academic writing based on a conceptual review: Implications for quality education. Interactive Learning Environments.

Amini, M., Wang, Q., Amini, D., Ravindran, L., Tan Ai Lin, D., Ganapathy, M., Singh, M. K. M., Bartsch, D. U. G., Cheng, L., & Ferreyra, H. A., et al. (2025). The significance of humanistic approach and moral development in English language classrooms. Discover Education.

Alavi, S., Amini, M., & Zahabi, A. (2025). Postgraduate TEFL students’ perceptions towards thesis supervision quality in Thailand: The role of expectations and negotiation in supervision quality. Reflections.

Yeoh, S. W., Amini, M., Lee, K.-F., & Oumeng, H. (2025). Analysing individual racism portrayal in Hanna Alkaf’s novel The weight of our sky. Cogent Arts & Humanities, 12(1).

Wu, S., Amini, M., & Mahfoodh, O. H. A. (2025). Unveiling certainty and doubt: A systemic functional exploration of epistemic modality in courtroom discourse. International Journal for the Semiotics of Law – Revue internationale de Sémiotique juridique.

Amini, M. (2025). Navigating health information in the age of artificial intelligence. Multimedia and Sensory Input for Augmented, Mixed, and Virtual Reality.

Amini, M. (2025). Cutting-edge approaches in translator education and pedagogy. Cutting-Edge Approaches in Translator Education and Pedagogy.

Yu Lan Wang | Research Excellence | Best Researcher Award

Prof. Dr. Yu Lan Wang | Research Excellence | Best Researcher Award

Prof. Dr. Yu Lan Wang | Inner Mongolia University of Technology | China

Professor Yu Lan Wang is a distinguished researcher at Inner Mongolia University of Technology, recognized for her impactful contributions to computational mathematics, numerical analysis, and nonlinear science. She has published 61 scholarly works, which have been cited in over 839 publications, 16 h-index, Demonstrating her strong influence and academic reach. Her research has been acknowledged through a solid citation record and a notable research index, highlighting both the quality and depth of her contributions. By advancing high-precision methods for fractional-order systems and uncovering novel chaotic behaviors, she continues to inspire innovation across mathematics, physics, and engineering.

Profile: Scopus | Orcid

Featured Publications

Zhang, S., Zhang, H., Wang, Y., & Li, Z. (2025). Dynamic properties and numerical simulations of a fractional phytoplankton–zooplankton ecological model. Networks and Heterogeneous Media, 20(2), Article 028.

Zhang, H., Wang, Y., Bi, J., & Bao, S. (2025). Novel pattern dynamics in a vegetation–water reaction–diffusion model. Mathematics and Computers in Simulation. Advance online publication.

Wang, X., Zhang, H., Wang, Y., & Li, Z. (2025). Dynamic properties and numerical simulations of the fractional Hastings–Powell model with the Grünwald–Letnikov differential derivative. International Journal of Bifurcation and Chaos. Advance online publication.

Han, Y., Zhang, J., & Wang, Y. (2024). Dynamic behavior of a two-mass nonlinear fractional-order vibration system. Frontiers in Physics, 12, 1452138.

Ning, J., & Wang, Y. (2024). Fourier spectral method for solving fractional-in-space variable coefficient KdV–Burgers equation. Indian Journal of Physics, 98, 1865–1875.

Tian, F., Wang, Y., & Li, Z. (2024). Numerical simulation of soliton propagation behavior for the fractional-in-space NLSE with variable coefficients on unbounded domain. Fractal and Fractional, 8(3), 163.

Zhang, S., Zhang, H., Wang, Y., & Li, Z. (2024). Research on dynamical behavior of a phytoplankton–zooplankton ecological model. Research Square. Preprint.

Gao, X., Zhang, H., Wang, Y., & Li, Z. (2024). Research on pattern dynamics behavior of a fractional vegetation–water model in arid flat environment. Fractal and Fractional, 8(5), 264. 

Zhao, L., & Zhang, W. (2024). Fourier spectral method for the fractional-in-space coupled Whitham–Broer–Kaup equations on unbounded domain. Open Physics, 22(1), 781–795.

Gao, X., Li, Z., & Wang, Y. (2024). Chaotic dynamic behavior of a fractional-order financial system with constant inelastic demand. International Journal of Bifurcation and Chaos, 34(7), 2450111.

Zhang, W., Wang, H., Zhang, H., Li, Z., & Li, X. (2024). Dynamical behavior of the fractional BBMB equation on unbounded domain. Fractal and Fractional, 8(7), 383.

Gao, X., Wang, Y., & Li, Z. (2023). High-precision numerical methods for a class of fractional-order financial systems with constant inelastic demand. SSRN.

Tang, W., Wang, Y., & Li, Z. (2023). Numerical simulation of fractal wave propagation of a multi-dimensional nonlinear fractional-in-space Schrödinger equation. Physica Scripta, 98(2), 025212.

Dai, D., Li, X., Li, Z., Zhang, W., & Wang, Y. (2023). Numerical simulation of the fractional-order Lorenz chaotic systems with Caputo fractional derivative. Computer Modeling in Engineering & Sciences, 135(2), 481–499.

Zahra Amini | Emerging Technologies | Best Researcher Award

Assist. Prof. Dr. Zahra Amini | Emerging Technologies | Best Researcher Award

Assist. Prof. Dr. Zahra Amini | Sharif University of Technology | Iran

Dr. Zahra Amini is an Assistant Professor of Civil Engineering at Sharif University of Technology, specializing in intelligent transportation systems, sustainable mobility, and operations research for urban traffic management. She earned her Ph.D. in Civil and Environmental Engineering from the University of California, Berkeley, and has led impactful projects in Iran and the U.S., ranging from corridor management to urban traffic resilience. With several high-impact publications, awards, and ongoing research on data-driven and machine learning approaches to transportation systems, she is recognized for advancing reliable, sustainable, and intelligent urban mobility solutions.

Academic Profile 

Google Scholar

Education

Dr. Zahra Amini completed her higher education in Civil and Environmental Engineering at the University of California, Berkeley, where she advanced her expertise in transportation systems and sustainable infrastructure. Alongside her major studies, she pursued minors in Industrial Engineering, Operations Research, and City and Regional Planning, which provided her with a strong interdisciplinary foundation. Her doctoral thesis focused on data-driven approaches for developing robust signal plans in urban transportation networks, reflecting her commitment to integrating advanced analytical methods with practical engineering challenges. This academic background equipped her with the technical knowledge and research skills that now define her scholarly and professional contributions.

Professional Experience

Dr. Amini serves as an Assistant Professor in the Department of Civil Engineering at Sharif University of Technology, where she teaches both undergraduate and graduate courses. Her teaching portfolio includes systems engineering, traffic engineering, and advanced transportation analysis, complemented by the design of a specialized course in Intelligent Transportation Systems. In addition to her academic role, she manages several research and development projects aimed at improving urban transportation and logistics planning. She has also gained international experience through her work at California Partners for Advanced Transportation Technology, contributing to projects focused on corridor management and traffic system optimization.

Research Interests

Dr. Amini’s research is centered on intelligent transportation systems, sustainable mobility solutions, and operations research applications in transportation system design. She focuses on integrating data-driven and machine learning methods to analyze and improve urban traffic flow, evaluate network resilience, and design reliable transport strategies. Her work also explores the operational sustainability of urban traffic networks and the role of intelligent systems in shaping resilient cities. By bridging theoretical models with applied research, she contributes innovative solutions to the pressing challenges of modern transportation.

Awards and Honors

Dr. Amini has received recognition for her teaching and research contributions through multiple awards. She has been honored for designing innovative courses in Intelligent Transportation Systems and has secured research grants supporting the development of advanced mobility solutions. Her scholarly excellence has been acknowledged with distinctions such as best paper and best presentation awards at international conferences. Additionally, she has been awarded prestigious fellowships that supported her academic journey and research endeavors, reflecting her status as a promising leader in the field of transportation engineering.

Publications

Agent-Based Modeling for Sustainable Urban Passenger Vehicle Mobility: A Case of Tehran
Author: M.E. Doraki, A. Avami, M. Boroushaki, Z. Amini
Journal: Transportation Research Part D: Transport and Environment
Year: 2024

Optimizing offsets in signalized traffic networks: A case study
Author: Z. Amini, S. Coogan, C. Flores, A. Skabardonis, P. Varaiya
Journal: IEEE Conference on Control Technology and Applications (CCTA)
Year: 2018

The Impact of Network Indices Integration on Traffic Flow Imputation Accuracy: A Machine Learning Approach
Author:  S. Sabzekar, A. Roudbari, A. Dehghani, A. Safaeiestalkhzir, Z. Amini
Journal: IEEE Transactions on Intelligent Transportation Systems
Year: 2025

Using neural network for predicting hourly origin-destination matrices from trip data and environmental information
Author: E. Hassanzadeh, Z. Amini
Journal: Scientia Iranica
Year: 2024

Unsupervised learning for topological classification of transportation networks
Author: S. Sabzekar, M.R.V. Malakshah, Z. Amini
Journal: arXiv preprint
Year: 2023

Data-Driven Approaches for Robust Signal Plans in Urban Transportation Networks
Author: Z. Amini
Journal:  University of California, Berkeley (Thesis)
Year: 2018

Spatial network-wide traffic flow imputation with graph neural network
Author: S. Sabzekar, R. Bahmani, M. Ghasemi, Z. Amini
Journal:  International Journal of Intelligent Transportation Systems Research
Year: 2025

Analyzing the impacts of gasoline price change on nationwide trip demand and drivers’ behavior using regression discontinuity design
Author: S. Saeidi, Z. Amini
Journal: Scientia Iranica
Year: 2024

Conclusion

Dr. Zahra Amini’s distinguished academic background, impactful research in intelligent and sustainable transportation systems, and recognized leadership in advancing innovative solutions firmly establish her as an outstanding candidate for the Best Researcher Award. Her dedication to bridging research, education, and real-world applications makes her not only deserving of this recognition but also a valuable contributor to the global scientific community.

Chien-Hung Yeh | Research Excellence | Best Researcher Award

Prof. Dr. Chien-Hung Yeh | Research Excellence | Best Researcher Award

Prof. Dr. Chien-Hung Yeh | Beijing Institute of Technology, China

Professor Chien-Hung Yeh, a tenured faculty member at Beijing Institute of Technology and a National High-Level Fellow, is renowned for his groundbreaking work in neuromodulation, cross-frequency coupling, and medical AI. With over 50 SCI publications, 15+ patents, and leadership in major national research projects, he has significantly advanced intelligent healthcare technologies. His collaborations span prestigious institutions like Harvard and Oxford, and his innovations influence clinical practices and brain-computer interface development. As a senior IEEE member and editorial board contributor, Professor Yeh exemplifies excellence in interdisciplinary biomedical engineering—making him a distinguished candidate for the Best Researcher Award.

Academic Profile 

ORCID, Google Scholar

Education

Professor Chien-Hung Yeh holds a distinguished academic background, earning his doctoral degree through a joint supervision program between Harvard Medical School and National Central University. This unique cross-continental academic training provided him with a rich blend of cutting-edge biomedical knowledge and rigorous technological insight. His PhD research laid the groundwork for his later innovations in neuromodulation and cross-frequency coupling, with strong emphasis on translational science bridging engineering and clinical neuroscience. His academic journey reflects both depth and global perspective, equipping him with interdisciplinary tools essential for leadership in advanced healthcare technologies.

Experience

Professor Yeh currently serves as a tenured professor at Beijing Institute of Technology, one of China’s premier research universities. Over the years, he has gained extensive experience leading major national-level research projects, including initiatives funded by the Ministry of Science and Technology of China, the National Natural Science Foundation of China (NSFC), and the Beijing Municipal Health Commission. In addition to his academic role, he is actively engaged in consultancy and industry-academia collaborations, such as with Kao Corporation and Neuracle Technology Co., Ltd. He also chairs IEEE conferences and serves as a reviewer for various high-level funding agencies including the Ministry of Industry and Information Technology and the National Science Foundation of China. His experience spans administration, research management, teaching, and policy advising, making him a key figure in biomedical innovation ecosystems.

Research Interests

Professor Yeh’s research is at the forefront of biomedical engineering, with core interests in cross-frequency coupling, neuromodulation, and artificial intelligence applications in medicine. He is internationally recognized for his pioneering work on dynamic brain signal processing, particularly in the development of algorithms for brain-computer interfaces and intelligent monitoring systems for neurological disorders. His contributions to waveform analysis and AI-driven health diagnostics have practical implications for epilepsy, Parkinson’s disease, sleep disorders, and critical care. These interests are not only intellectually rigorous but also clinically transformative, aiming to close the gap between neuroscience theory and patient-centered innovation.

Awards

Throughout his career, Professor Yeh has received numerous prestigious recognitions. He has been honored as a National High-Level Fellow in China, a designation reserved for top-tier scientists making significant contributions to strategic research areas. His projects have received substantial support from national and municipal government bodies, reinforcing the value of his work to public health and innovation policy. He has also co-led a team that was named a runner-up in the Qualcomm Tricorder XPRIZE, a global competition to develop portable diagnostic devices capable of revolutionizing healthcare delivery. This accomplishment highlights the global applicability of his research. Furthermore, Professor Yeh’s editorial roles in leading journals, including Cyborg and Bionic Systems, Applied Sciences, and BMC Medical Informatics and Decision Making, along with his membership in key professional societies such as IEEE and the Chinese Society of Biomedical Engineering, reflect the academic community’s high regard for his expertise and leadership.

Publications

Amplitude modulation multiscale entropy characterizes complexity and brain states

Author: W Shi, H Feng, X Zhang, CH Yeh
Journal: Chaos, Solitons & Fractals
Year: 2023

A novel measure of cardiopulmonary coupling during sleep based on the synchrosqueezing transform algorithm 

Author: Y Wang, W Shi, CH Yeh
Journal: IEEE journal of biomedical and health informatics
Year: 2023

Waveform changes with the evolution of beta bursts in the human subthalamic nucleus

Author: CH Yeh, B Al-Fatly, AA Kuehn, AC Meidahl, G Tinkhauser, H Tan,
Journal: Clinical neurophysiology
Year: 2020

Generalized multiscale Lempel–Ziv complexity of cyclic alternating pattern during sleep

Author: CH Yeh, W Shi
Journal: Nonlinear Dynamics
Year: 2018

A comparison study on stages of sleep: Quantifying multiscale complexity using higher moments on coarse-graining

Author: W Shi, P Shang, Y Ma, S Sun, CH Yeh
Journal: Communications in Nonlinear Science and Numerical Simulation
Year: 2017

Quantifying spasticity with limited swinging cycles using pendulum test based on phase amplitude coupling

Author: CH Yeh, HWV Young, CY Wang, YH Wang, PL Lee, JH Kang, MT Lo
Journal: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Year: 2016

Spurious cross-frequency amplitude–amplitude coupling in nonstationary, nonlinear signals

Author: CH Yeh, MT Lo, K Hu
Journal: Physica A: Statistical Mechanics and its Applications
Year: 2016

On the computational complexity of the empirical mode decomposition algorithm 

Author: YH Wang, CH Yeh, HWV Young, K Hu, MT Lo
Journal: Physica A: Statistical Mechanics and its Applications
Year: 2014

Conclusion

Professor Chien-Hung Yeh exemplifies the ideal candidate for the Best Researcher Award through his high-impact publications, transformative research, interdisciplinary expertise, and technological innovations. His leadership in both academic and applied research domains, coupled with international collaborations and continuous contributions to scientific advancement, makes him a deserving recipient of this recognition.