Abhay Chavan | Emerging Technologies | Research Excellence Award

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Mr. Abhay Chavan | Emerging Technologies | Research Excellence Award

University of Oklahoma, United States

Abhay Chavan is a researcher and educator specializing in construction science, modular construction, sustainability, and digital technologies in the built environment. His academic and professional work integrates architecture, offsite construction, lean construction practices, and immersive technologies such as virtual reality for educational and industry applications. He has contributed to teaching construction management and architectural design courses while actively engaging in research related to workflow optimization, energy-efficient construction, and industrialized building systems. His publications, research grants, and scholarly presentations demonstrate a strong commitment to innovation in construction education and sustainable project delivery within the architecture and construction sectors.

Professional Profile 

Education

Abhay Chavan is currently pursuing a Doctor of Philosophy in Planning, Design, and Construction at the University of Oklahoma. His doctoral research focuses on modularity and offsite construction, with an emphasis on improving efficiency and innovation in industrialized construction systems. He also earned a Master of Building Construction from Auburn University, where his graduate work addressed infection control during hospital renovation projects. Earlier, he completed a Bachelor of Architecture from Shivaji University, developing a strong foundation in architectural design, sustainability, and built environment planning. His academic background reflects a multidisciplinary integration of architecture, construction management, sustainability, and emerging construction technologies.

Professional Experience

Abhay Chavan has built substantial academic and industry experience in construction science, architecture, sustainability consulting, and educational innovation. He has served as an Instructor of Record at the University of Oklahoma, teaching courses related to construction technology, construction documents, and design fundamentals. His teaching approach integrates digital tools such as Procore, Bluebeam, Revit, Autodesk Construction Cloud, and virtual learning systems to enhance practical learning outcomes. He also contributed as a Teaching Assistant in graduate research methodology, field surveying, and project controls courses. Prior to his academic roles in the United States, he worked as an Assistant Professor at Vishwakarma University, where he taught architectural design studios, sustainability, and architectural graphics while mentoring student research and innovation projects. In industry, he gained expertise in modular construction systems during his internship at Volumod Modular Solutions, contributing to LEED certification processes, production optimization, and waste reduction strategies. He also worked with dbHMS Consultants as an Energy Modeler and Project Manager, focusing on energy simulation, green building certifications, and sustainable design strategies for large-scale projects. His experience combines research-driven thinking with practical implementation in architecture and construction.

Research Interest

Abhay Chavan’s research interests are focused on modular and offsite construction, lean construction practices, sustainable building systems, immersive technologies in education, and digital transformation in the built environment. His doctoral research explores how modularity can improve productivity, efficiency, and scalability in offsite construction systems. He has also conducted significant research on the application of virtual reality in architecture and construction education, examining how immersive technologies can enhance learning, visualization, and student engagement. Additional research areas include value stream mapping, workflow optimization, energy-efficient construction, and sustainability-driven project delivery. His published work demonstrates an interdisciplinary approach that connects construction management, educational technology, sustainability, and industrialized building methods.

Awards and Honors

Abhay Chavan has received multiple academic scholarships, research grants, and professional recognitions for his contributions to construction science and educational innovation. He was awarded the Klay Kimker Student Enrichment Scholarship and the Zee & Madge May Vincent Scholarship at the University of Oklahoma in recognition of his academic and research achievements. He also secured First Place in the Gibbs College of Architecture Graduate Student Showcase for his research presentation. His research initiatives have been further supported through competitive travel grants and a Program for Research Enhancement Grant focused on integrating virtual reality into construction and design education. In addition, his professional qualifications include OSHA-30 certification and registration with the Council of Architecture in India, reflecting his commitment to professional excellence and industry standards.

Publications Top Noted

  • General Contractor Knowledge of Infection Control Requirements on Hospital Renovation Construction Projects
    Authors:     W. Collins, P. Holley, A. Chavan, A. Sattineni
    Year: 2020
  • An Interdisciplinary Pilot Study and Prototype Development for the Containment of Concrete Washout Waste
    Authors:     P. Holley, E. Lynn, B. Bush, A. Chavan
    Year: 2019
  • Virtual Reality as a Supportive Tool for Design Education
    Authors:     A. Chavan, S. Ghosh
    Year: 2024
  • Role of Modularity in Adoption of Offsite Construction
    Authors:     A. Chavan, S. Ghosh
    Year: 2024
  • Optimizing Volumetric Offsite Construction Production Line by Utilization of Value Stream Mapping – A Case Study
    Authors:     A. Chavan, S. Langar, S. Ghosh
    Year: 2025
  • Use of Virtual Reality in Construction Education – USA Educators’ Perspectives
    Authors:     A. P. Chavan, S. Ghosh, T. McCuen
    Year: 2026
  • Use of Virtual Reality in Construction Higher Education in the US
    Authors:     A. Chavan, S. Ghosh, T. McCuen
    Year: 2024

Dawit Girma | Research Excellence | Research Excellence Award

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Mr. Dawit Girma | Research Excellence | Research Excellence Award 

Wolkite University | United Kingdom

Dawit Girma Burayu is a skilled civil and hydraulic engineer with strong expertise in water resources engineering, hydrology, and geospatial analysis. He holds advanced academic qualifications and has extensive experience in teaching, research, and professional engineering practice. His work focuses on rainfall analysis, flood risk assessment, groundwater potential mapping, and irrigation planning using GIS, remote sensing, and modeling tools. He has authored multiple peer-reviewed publications in reputable journals, achieving 108 citations, an h-index of 4, and an i10-index of 2, reflecting the impact of his research contributions. Proficient in programming and engineering software, he effectively addresses complex environmental and water management challenges.

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Featured Publications

Sayed Abdul Majid Gilani | Emerging Technologies | Best Researcher Award

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Dr. Sayed Abdul Majid Gilani | Emerging Technologies | Best Researcher Award

Dr. Sayed Abdul Majid Gilani | Birmingham City University | United Kingdom

Dr. Sayed Abdul Majid Gilani is an accomplished researcher in electrical and electronic engineering, specializing in embedded systems, automation, and control engineering. His multidisciplinary research integrates hardware design, sensor networks, and artificial intelligence to develop innovative and energy-efficient solutions for real-world challenges. With over a decade of experience in academia and applied research, Dr. Gilani has contributed significantly to the advancement of embedded control technologies, renewable energy optimization, and industrial automation systems. His work emphasizes intelligent system design, IoT-based automation, and the integration of machine learning algorithms for enhanced performance and sustainability. Dr. Gilani has published extensively in high-impact journals and presented at leading international conferences, reflecting his global engagement and scientific rigor. He has also supervised numerous research projects and guided students in developing practical applications of emerging technologies. His research outputs demonstrate a strong commitment to technological innovation that bridges the gap between theory and application. Recognized for his academic excellence and collaborative research initiatives, Dr. Gilani continues to advance cutting-edge developments that contribute to the evolution of smart, adaptive, and efficient engineering systems—making him a deserving candidate for the Best Researcher Award.

Profiles: Google Scholar | Scopus | LinkedIn | Research Gate

Featured Publications 

Gilani, S. A. M., & Faccia, A. (2021). Broadband connectivity, government policies, and open innovation: The crucial IT infrastructure contribution in Scotland. Journal of Open Innovation: Technology, Market, and Complexity, 8(1), 1. https://doi.org/10.3390/joitmc8010001

Gilani, S. A. M., Copiaco, A., Gernal, L., Yasin, N., Nair, G., & Anwar, I. (2023). Savior or distraction for survival: Examining the applicability of machine learning for rural family farms in the United Arab Emirates. Sustainability, 15(4), 3720. https://doi.org/10.3390/su15043720

Gilani, S., Gernal, L., Tantry, A., Yasin, N., & Sergio, R. (2022). Leadership styles adopted by Scottish micro-businesses during the COVID-19 pandemic. In Proceedings of the International Conference on Business and Technology (pp. 144–156). Springer.

Al Jaghoub, J., Suleiman, A., Takshe, A. A., Moussa, S., Gilani, S. A. M., Sheikh, S., & others. (2024). The role of innovation in waste management for enterprises: A critical review of the worldwide literature. In Technology-Driven Business Innovation (pp. 453–464). Springer.

Gernal, L., Tantry, A., Gilani, S. A. M., & Peel, R. (2024). The impact of online learning and soft skills on college student satisfaction and course feedback. In Technology-Driven Business Innovation: Unleashing the Digital Advantage (pp. 42–54). Springer.

Gilani, S. A. M., Tantry, A., Askri, S., Gernal, L., & Sergio, R. (2023). Adoption of machine learning by rural farms: A systematic review. In Proceedings of the International Conference on Computing and Informatics (pp. 324–335). Springer.

Saleem Ramadan | Data Science | Best Researcher Award

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Assoc. Prof. Dr. Saleem Ramadan | Data Science | Best Researcher Award

Assoc. Prof. Dr. Saleem Ramadan | Al Hussein Technical University | Jordan

Dr. Saleem Z. Ramadan is an accomplished Data Analyst and Business Analyst with a strong interdisciplinary background in industrial engineering, systems optimization, and data science. With academic and consulting experience across the U.S. and Jordan, he has applied data-driven decision-making, predictive analytics, and optimization modeling to complex problems in healthcare, manufacturing, and finance. Dr. Ramadan holds a Ph.D. in Systems Engineering from Ohio University and has served as Acting Chair and Associate Professor at Al Hussein Technical University, leading research and teaching initiatives integrating machine learning and operations analytics. He has developed impactful analytics solutions—ranging from hydroponic resource optimization and radiology workflow improvement to financial risk dashboards—using tools such as Python, SQL, Power BI, Tableau, and Minitab. His consulting work with Healthcare Operations & Performance Excellence (HOPE) led to measurable improvements in hospital performance through Six Sigma and process control techniques. A Certified Analytics Professional (CAP) and Microsoft Power BI Data Analyst Associate, Dr. Ramadan has authored 20 peer-reviewed publications, accumulating 236 citations from 230 documents with an h-index of 6. His recent works focus on machine learning–driven optimization, surgical scheduling prediction, and additive manufacturing parameter tuning. Dr. Ramadan’s combination of technical proficiency, academic leadership, and applied research impact uniquely positions him at the intersection of analytics innovation and business performance excellence.

Profiles:  Scopus | Google Scholar | LinkedIn

Featured Publications

Ramadan, S., Abushams, M., Al-Dahidi, S., & Odeh, I. (2025). A data-driven approach for predicting remaining intra-surgical time and enhancing operating room efficiency. Journal of Industrial Engineering and Management.

Ramadan, S., Abushams, M., Al-Dahidi, S., & Odeh, I. (2024). Optimizing tensile strength and energy consumption for FDM through mixed-integer nonlinear multi-objective optimization and design of experiments. Heliyon.

Chien-Hung Yeh | Research Excellence | Best Researcher Award

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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.