Rasool Ghobadian | Automobile Engineering | Best Researcher Award

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Prof. Dr. Rasool Ghobadian | Automobile Engineering | Best Researcher Award

University Professor  |  Razi university  |  Iran

Dr. Rasoul Ghobadian is a distinguished academic and researcher in the field of water engineering, specializing in advanced hydraulics, sediment transport, flood modeling, and computational hydraulics. As a professor at the Department of Water Engineering, Faculty of Agriculture, Razi University of Kermanshah, he has contributed extensively to both academia and industry through innovative research, design expertise, and teaching excellence. His professional experience spans over two decades, including collaboration with leading consulting firms such as Saman Abraha Tose, Alborz Studies, and Dezab Consulting Engineers, where he participated in large-scale irrigation and hydraulic infrastructure projects involving surface irrigation networks, diversion dams, and intake systems. Dr. Ghobadian’s research integrates theoretical modeling with practical applications, focusing on seepage loss estimation, flood routing, and the hydraulic performance of river confluences and hydraulic structures, with publications in reputed international journals such as Journal of Hydrologic Engineering, Water SA, and Alexandria Engineering Journal. His expertise encompasses computational fluid dynamics, numerical modeling, and water resource system design. Recognized for his excellence, he has received multiple awards including Best Researcher and Exemplary Teaching Professor from the Faculty of Agriculture and the Department of Water Engineering. His research has greatly influenced sustainable water resource management and hydraulic engineering education. Dr. Ghobadian’s scholarly achievements continue to advance the global understanding of hydraulic systems and water infrastructure optimization. He has achieved 136 Citations,  30 Documents, 6 h-index.

Profiles: Google Scholar  |  ORCID  |  Scopus

Featured Publications 

  1. Ghobadian, R., & Bajestan, M. S. (2007). Investigation of sediment patterns at river confluence. [Unpublished study]. Citations: 51

  2. Ghobadian, R., & Mohammadi, K. (2011). Simulation of subcritical flow pattern in 180° uniform and convergent open-channel bends using SSIIM 3-D model. Water Science and Engineering, 4(3), 270–283. Citations: 35

  3. Ghobadian, R., & Meratifashi, E. (2012). Modified theoretical stage-discharge relation for circular sharp-crested weirs. Water Science and Engineering, 5(1), 26–33. Citations: 21

  4. Ghobadian, R. (2007). Investigation of flow, scouring and sedimentation at river-channel confluences. Ph.D. Thesis, Department of Hydraulic Structures, Shahid Chamran University of Ahvaz. Citations: 13

  5. Mobara, S. E. H., Ghobadian, R., Rouzbahani, F., & Đorđević, D. (2021). Numerical simulation of submarine non-rigid landslide by an explicit three-step incompressible smoothed particle hydrodynamics. Engineering Analysis with Boundary Elements, 130, 196–208. Citations: 12

Dr. Rasoul Ghobadian’s pioneering research in hydraulic and sediment transport modeling enhances the understanding of river dynamics, erosion, and flood management systems. His work bridges scientific innovation with engineering practice, contributing to the sustainable design of hydraulic structures, water resource optimization, and disaster resilience for communities and industries worldwide.

 

Zhaoting Zhang | Environmental Impact of Vehicles | Green Transport Innovation Award

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Dr. Zhaoting Zhang | Environmental Impact of Vehicles | Green Transport Innovation Award

Research scholar| Xuzhou Administration Institute | China

Dr. Zhaoting Zhang is a distinguished scholar and Ph.D. candidate in Administrative Management at the School of Public Administration, China University of Mining and Technology . She holds a Master’s degree in Library and Information Science from Guizhou University of Finance and Economics  and a Bachelor’s degree in Financial Management from Jiangsu Normal University (2018). Her professional experience includes her current role at the Xuzhou Administrative Institute, where she contributes to public governance research and administrative innovation. Dr. Zhang’s academic expertise spans digital transformation of public health services, administrative governance, rural development, and sustainable policy implementation. She has demonstrated strong research competence through publications in top-tier SSCI and CSSCI journals, including Finance Research Letters (Q1, IF 10.4 & 7.4) and Frontiers in Public Health, as well as national-level projects funded by the National Social Science Fund on topics such as smart social governance and AI ethical risk prevention. Her research skills include data-driven policy analysis, quantitative and qualitative research design, field investigation, and interdisciplinary synthesis across public management, information systems, and sustainability governance. Recognized for her scholarly excellence, she has received multiple honors including the Outstanding Paper Prize at the Doctoral Forum on Political Science and Public Administration and an Academic Excellence Award during her master’s studies. Dr. Zhang also authored a monograph titled Grassroots Social Development Innovation and Construction , reflecting her commitment to theory-driven and practice-oriented research. Through her ongoing work on digital literacy, green transition policies, and multi-level governance systems, she continues to advance research that bridges public administration theory and real-world policy challenges. With an expanding global research profile and contributions to impactful interdisciplinary projects, Dr. Zhang exemplifies academic innovation, public value, and leadership in her field. Dr. Zhaoting Zhang has received 96 citations , has published 5 scholarly works, and holds an h-index of 3.

Profiles:  Scopus 

Featured Publications

Zhang, Z. (2025). The impact of China’s green emission policies on non-road mobile construction machinery. Natural Resources Forum, 49(2), 2111-2123.

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.

Kristaq Hazizi | Automotive Engineering | Best Researcher Award

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Dr. Kristaq Hazizi | Automotive Engineering | Best Researcher Award

Lecturer in Mechanical and Automotive Engineering  | Coventry University | United Kingdom

Dr. Kristaq Hazizi is a Lecturer in Mechanical and Automotive Engineering at Coventry University, with over 15 years of combined academic and industry experience dedicated to advancing sustainable automotive technologies. He earned his Ph.D. in Automotive Engineering from Coventry University in 2013, where his doctoral research centered on advanced engine simulation and alternative fuels to enhance efficiency and reduce emissions. Professionally, Dr. Hazizi has contributed to both academia and industry by leading research projects on engine modeling, combustion optimization, and the integration of renewable fuels into modern powertrain systems. His research interests lie in engine simulation, hybrid propulsion systems, and low-carbon transportation, areas that align with global efforts to achieve cleaner and more efficient mobility solutions. His research skills include advanced numerical modeling, computational fluid dynamics (CFD), thermodynamic analysis, and applied experimental testing for engine performance evaluation. Dr. Hazizi has successfully secured competitive research funding and has collaborated with international teams to promote sustainable energy solutions. His publications appear in reputed IEEE and Scopus-indexed journals and conference proceedings, reflecting a growing influence in the automotive engineering field. In addition to research, he is an active mentor to students, guiding projects and theses in sustainable mobility, and has contributed to professional communities as a member of IEEE and SAE. Dr. Hazizi has received recognition for his academic excellence and contributions to advancing green automotive technologies, including institutional awards for research innovation and teaching. His dedication to bridging research with practical applications demonstrates his commitment to both scientific advancement and societal impact. With a vision to expand international collaborations and publish in more high-impact journals, Dr. Hazizi continues to shape the future of sustainable transportation research, with 17 citations, 4 published documents, and an h-index of 2.

Profiles:  Scopus | ORCID | Google Scholar

Featured Publications

Hazizi, K., & Ghahleeh, M. (2023). Design and analysis of a typical vertical pressure vessel using ASME code and FEA technique. Infrastructures, 7(3), 78. Cited by: 22

Hazizi, K., Ramezanpour, A., Costall, A., & Asadi, M. (2019). Numerical analysis of a turbocharger compressor. E3S Web of Conferences, 95, 04008. Cited by: 6

Gophane, I., Dharashivkar, N., Mulik, P., & Patil, P. (2024). Analysis of pressure vessel. Indian Journal of Science and Technology, 17(12), 1148–1158. Cited by: 2

Hazizi, K., Ghahleeh, M., & Rasool, S. (2023). Analytical and numerical investigation of fatigue life in rectangular plates with opposite semicircular edge single notches. Applied Engineering, 4(3), 948–973. Cited by: 1

Hazizi, K., Ghahleeh, M., & Rasool, S. (2023). Analytical and numerical investigation of fatigue life in rectangular plates with opposite semicircular edge single notches. Preprints, 2023080788. Cited by: 1