Hui Dong | Autonomous Vehicles | Research Excellence Award

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Prof. Hui Dong | Autonomous Vehicles | Research Excellence Award

Professor | Harbin Institute of Technology | China

Prof. Hui Dong is an established researcher and academic leader with a strong record in advanced mechatronic and robotic systems, demonstrating sustained contributions across theory, engineering practice, and interdisciplinary innovation. Her professional experience includes leading and participating in more than 24 nationally and provincially funded research projects, serving as principal investigator for competitive youth and general programs, and contributing to key special projects aligned with aerospace and advanced manufacturing initiatives. Her research interests span mechanism science, intelligent manned and unmanned systems, wearable mechatronic systems, medical robotics, and human–machine hybrid intelligence, with particular emphasis on flexible manipulators, robotic navigation and control, legged and wheel-legged robots, surgical robotics, and data-driven intelligent interaction. Her research skills encompass robotic system design, kinematics and trajectory planning, control and navigation algorithms, neural networks, cross-domain situational awareness, and integration of large models into human–machine systems. She has authored numerous high-quality journal publications, including papers in top-tier international journals, with multiple first or corresponding authorships, highly cited work, and cover articles, alongside a strong patent portfolio with both domestic and international invention patents. Her awards and honors include institutional scholar recognition and competitive excellence titles reflecting research impact and leadership. Overall, her work demonstrates a consistent trajectory of high-impact scholarship, innovation, and contribution to cutting-edge robotic and intelligent systems research. She has achieved 34 Citations  3 Documents 2 h-index.

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Featured Publications

Amirmahdi Rahmani | Environmental Impact of Vehicles | Editorial Board Member

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Mr. Amirmahdi Rahmani | Environmental Impact of Vehicles | Editorial Board Member

Master Student in Sustainability in Polymer Technology | Deggendorf Institute of Technology | Germany

Mr. Amirmahdi Rahmani is a passionate and forward-thinking researcher whose work bridges sustainability, renewable energy, and advanced materials engineering. His academic foundation and professional journey reflect a deep commitment to advancing eco-friendly technologies and sustainable industrial practices. His research experience spans diverse domains, including green tribology, bio-lubricants, renewable energy systems, and polymer sustainability. Through his professional roles, he has contributed to enhancing mechanical and environmental performance in industrial applications, from improving the mechanical properties of lubricants to optimizing oscillating flow reactors for efficient mixing processes. His collaboration with leading institutions and companies such as Springer Nature, Pardis Shimi Bakhtar Co., and Iran Khodro Co. underscores his technical expertise and research integrity. Rahmani’s publications demonstrate a consistent focus on sustainability and innovation, with studies exploring bio-lubricants, nano-enhancers, zero-carbon village models, and wind energy optimization for greenhouse gas reduction. His research interests lie in sustainable materials development, circular economy integration, renewable energy conversion, and mechanical system optimization for low-carbon technologies. He is skilled in experimental design, computational modeling, life cycle assessment, and energy efficiency analysis, combining theoretical insights with practical applications. His achievements reflect academic rigor, professional discipline, and a global perspective on the transition to sustainable energy systems. Rahmani’s dedication to research excellence and his interdisciplinary approach position him as an emerging scholar in the fields of green technology and sustainable engineering. He has achieved 11 Citations, 3 documents, 2h-index.

Profiles:  Google Scholar  |  Scopus

Featured Publications 

  1. Yousefi, H., Montazeri, M., & Rahmani, A. (2021). Techno-economic analysis of wind turbine systems to reduce carbon emission of greenhouses: A case study in Iran. In Proceedings of the 7th Iran Wind Energy Conference (IWEC2021) (pp. 1–4). IEEE.

  2. Rahmani, A., Razavi, H. K., & Dehghani-Soufi, M. (2024). Green tribology assessment: A comprehensive review of bio-lubricants and nano enhancers. Energy Conversion and Management: X, 24, 100794.

  3. Yousefi, H., Rahmani, A., & Montazeri, M. (2023). Sustainable development through the establishment of zero-carbon villages. In Proceedings of the 8th International Conference on Technology and Energy Management (ICTEM2023). IEEE.

  4. Rahmani, A., Dehghani-Soufi, M., Fazeli, H., & Razavi, H. K. (2024). Experimental analysis of nano additive mixing in bio-lubricants: Implications for tribological performance using oscillatory flow technology. Available at SSRN 5118516.

    Mr. Amirmahdi Rahmani’s research advances sustainable energy and green tribology through innovative material science and renewable technology integration. His work bridges environmental engineering and mechanical optimization, providing scalable solutions for low-carbon industries. By combining experimental and techno-economic analyses, Rahmani contributes to the global transition toward sustainable manufacturing, clean energy systems, and environmentally responsible engineering innovation.

 

Mohammad Anis | Transportation Engineering | Best Researcher Award

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Mr. Mohammad Anis | Transportation Engineering | Best Researcher Award

PhD Student | Texas A&M University| United States

Mr. Mohammad Anis is a dedicated Ph.D. candidate in Civil and Environmental Engineering at Texas A&M University, specializing in traffic safety, autonomous vehicle safety, crash risk modeling, pedestrian safety, and digital twin applications. He previously earned an M.S. in Civil Engineering from the University of Texas Rio Grande Valley (2021), where he conducted pioneering research on electrically heated rigid pavements, and a B.S. in Civil Engineering from Dhaka University of Engineering & Technology, Bangladesh (2018). With over four years of research experience, he has worked extensively on federally and state-funded projects with agencies such as FHWA, TxDOT, NCHRP, FMCSA, and ODOT, contributing to crash prediction models, pedestrian safety analysis, driver distraction studies, and systemic roadway design improvements. His dissertation integrates physics-informed near-miss data with hierarchical Bayesian frameworks for real-time crash occurrence risk estimation, pushing the boundaries of data-driven traffic safety planning. His professional experience includes roles as a doctoral researcher at Texas A&M University, a graduate research assistant at the Texas A&M Transportation Institute, and a graduate teaching assistant at both Texas A&M University and UTRGV, where he mentored students in transportation engineering and civil materials. His research interests lie in real-time safety modeling, AI and machine learning applications in transportation, spatiotemporal crash risk prediction, and sustainable roadway infrastructure. He is skilled in programming (Python, R, MATLAB), statistical modeling (MCMC, machine learning, time-series analysis), traffic simulation tools (SUMO, VISSIM, CARLA), and GIS platforms (ArcGIS, QGIS). He has published widely in high-impact journals such as Accident Analysis & Prevention and Transportation Research Record, along with multiple IEEE and Scopus-indexed conferences. Among his many accolades are the Keese-Wootan Transportation Fellowship (Top 5%), Zachry Excellence Fellowship, Terracon Foundation Scholarship, and Graduate Student Travel Awards. With a strong record of publications, collaborations, and peer-review service, Mr. Anis demonstrates outstanding potential to lead future research in traffic safety and intelligent mobility systems. He has achieved 30 citations across 27 documents, with 8 publications and an h-index of 2.

Profiles:  Scopus | ORCID

Featured Publications

Anis, M., Geedipally, S. R., & Lord, D. (2025). Pedestrian crash causation analysis near bus stops: Insights from random parameters Negative Binomial–Lindley model. Accident Analysis & Prevention, 220, 108137.

Zhang, H., Li, S., Li, Z., Anis, M., Lord, D., & Zhou, Y. (2025). Why anticipatory sensing matters in commercial ACC systems under cut-in scenarios: A perspective from stochastic safety analysis. Accident Analysis & Prevention, 218, 108064

Anis, M., Li, S., Geedipally, S. R., Zhou, Y., & Lord, D. (2025). Real-time risk estimation for active road safety: Leveraging Waymo AV sensor data with hierarchical Bayesian extreme value models. Accident Analysis & Prevention, 211, 107880.

Abdel-Raheem, M., & Anis, M. (2025). Toward sustainability: A new construction method for electrically heated rigid pavement systems. Transportation Research Record: Journal of the Transportation Research Board, 2679(3), 281–303.

Anis, M., & Abdel-Raheem, M. (2024). A review of electrically conductive cement concrete pavement for sustainable snow-removal and deicing: Road safety in cold regions. Transportation Research Record: Journal of the Transportation Research Board, 2678(9), 50–71.