Nadhir Al-Ansari | Engineering | Excellence in Citation Achievement Award

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Nadhir Al-Ansari | Engineering | Excellence in Citation Achievement Award

LuleaUniversity of Technology | Sweden

Professor Nadhir Al-Ansari is a distinguished scholar in civil, environmental, and natural resources engineering, renowned for his extensive contributions to water resources and environmental sustainability. Currently serving at Luleå University of Technology in Sweden, he has held multiple academic leadership roles throughout his career, including Dean and Head of Department, and has executed more than 60 major research projects across Iraq, Jordan, and the United Kingdom. His prolific scholarly output includes over 790 research articles published in international and national journals, numerous book chapters, 21 books and special issues, as well as a patent related to the physical separation of iron oxides. A dedicated mentor, he has supervised more than 70 postgraduate students across various universities, fostering the next generation of experts in water and environmental engineering. Professor Al-Ansari’s work has been widely recognized through numerous prestigious awards, such as the Mesopotamia Prize for Water Resources, honors from the Iraqi Ministry of Higher Education and Scientific Research, awards from the Ministry of Water and Irrigation in Jordan, and the British Council’s 70th Anniversary recognition as one of the top five scientists in Cultural Relations. He is also the recipient of several scientific and community service accolades from organizations in Iraq, Jordan, Turkey, and beyond. Actively engaged in global scientific discourse, he serves on the editorial boards of 24 international journals and maintains membership in several leading professional societies, including the Chartered Institution of Water and Environment Management, the International Association of Hydrological Sciences, the International Commission for Continental Erosion, and the Arab Integrated Water Resources Management Network. He also founded and previously presided over the Rafidain Organization for Water Resources Protection and Development, reflecting his lifelong commitment to advancing sustainable water resource management and environmental protection worldwide.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Nguyen, Q. H., Ly, H. B., Ho, L. S., Al-Ansari, N., Le, H. V., Tran, V. Q., Prakash, I., … (2021). Influence of data splitting on performance of machine learning models in prediction of shear strength of soil. Mathematical Problems in Engineering, 2021(1), Article 4832864.

Kumar, R., Qureshi, M., Vishwakarma, D. K., Al-Ansari, N., Kuriqi, A., Elbeltagi, A., … (2022). A review on emerging water contaminants and the application of sustainable removal technologies. Case Studies in Chemical and Environmental Engineering, 6, 100219.

Tao, H., Hameed, M. M., Marhoon, H. A., Zounemat-Kermani, M., Heddam, S., … (2022). Groundwater level prediction using machine learning models: A comprehensive review. Neurocomputing, 489, 271–308.

Shahabi, H., Shirzadi, A., Ghaderi, K., Omidvar, E., Al-Ansari, N., Clague, J. J., … (2020). Flood detection and susceptibility mapping using Sentinel-1 remote sensing data and a machine learning approach: Hybrid intelligence of bagging ensemble based on k-nearest neighbors. Remote Sensing, 12(2), 266.

Al-Ansari, N. (2013). Management of water resources in Iraq: Perspectives and prognoses. Engineering, 5(6), 667–684.

Nhu, V. H., Shirzadi, A., Shahabi, H., Singh, S. K., Al-Ansari, N., Clague, J. J., … (2020). Shallow landslide susceptibility mapping: A comparison between logistic model tree, logistic regression, naïve Bayes tree, artificial neural network, and support vector machine models. International Journal of Environmental Research and Public Health, 17(8), 2749.

Mohamed Taieb Krakdia | Engineering | Best Researcher Award

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Mohamed Taieb Krakdia | Engineering | Best Researcher Award

University of Gabes | Tunisia

Mr. Mohamed Taieb Krakdia is a distinguished Tunisian academic and educator with a long and impactful career in the Ministry of Education, where he has served in various capacities, including Distinguished Senior Professor of Exceptional Degree, Senior Professor Emeritus of Secondary Education, and Senior Secondary School Teacher in Sidi Bouzid. Beginning his teaching career after earning the CAPES diploma, he has dedicated more than two decades to shaping the educational landscape in Tunisia while also pursuing advanced research in renewable energy and electrical engineering. He holds a Professional Master’s Degree in Renewable Energies and Energy Efficiency from ISET Sidi Bouzid, an Engineering Master’s Degree in Electrical Engineering from Université Elhadj Lakhder in Algeria, and is currently engaged in doctoral studies at ENIG Tunisia, focusing on the optimization of renewable energy resources in microgrids. His research interests revolve around integrating renewable energy sources such as photovoltaic systems, wind power, and solid oxide fuel cells into advanced microgrid structures with efficient energy storage and control strategies. He has contributed to the academic literature with publications including “Sliding-Mode and Lyapunov Function Based Control for a DC Microgrid with Renewable Generation, a Solid Oxide Fuel Cell, and Battery Storage” and “Control for a DC Microgrid for Photovoltaic–Wind Generation with a Solid Oxide Fuel Cell, Battery Storage, Dump Load (Aqua-Electrolyzer), and Three-Phase Four-Leg Inverter.” Alongside his academic pursuits, he is proficient in a range of technical and simulation tools such as MATLAB, Autocad, C/C++, and microcontroller programming, underscoring his commitment to both theoretical advancement and practical innovation in renewable energy systems.

Profile: Orcid

Featured Publications

  • Krakdia, M. T., & Sbita, L. (2024). Sliding-mode and Lyapunov function based control for a DC microgrid with renewable generation, a solid oxide fuel cell and battery storage. In Advances in Renewable Energy and Power Systems  Springer.

  • Krakdia, M. T., & Sbita, L. (2025). Control for a DC microgrid for photovoltaic–wind generation with a solid oxide fuel cell, battery storage, dump load (aqua-electrolyzer) and three-phase four-leg inverter (4L4W). Clean Technologies, 7(3), 79.

Rui Yingxu | Engineering | Best Researcher Award

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Rui Yingxu | Engineering | Best Researcher Award

Zhejiang normal university|China

Dr. Rui Yingxu is a Lecturer at the School of Engineering, Zhejiang Normal University, specializing in transportation planning, traffic flow theory, and emergency evacuation modeling. He earned his Ph.D. in Transportation Planning and Management from Beijing University of Aeronautics and Astronautics, after completing his bachelor’s Civil Engineering at Taiyuan University of Technology. With a strong academic foundation, he has cultivated research expertise in human mobility, bicycle traffic dynamics, and evacuation strategies under complex scenarios, particularly during public health crises. Dr. Rui has international academic exposure through his visiting research experience at Monash University, Australia. His research contributions have been published in leading international journals such as Simulation Modelling Practice and Theory, Journal of Advanced Transportation, and Physica A. He actively participates in significant projects, including the National Natural Science Foundation of China’s project on emergency evacuation control strategies under infectious disease contexts. With a growing body of impactful publications, Rui is committed to advancing sustainable and safe urban mobility systems. His work integrates mathematical modeling, cellular automaton frameworks, and social force theories to address critical challenges in modern transportation systems.

Publication Profile

‪Google Scholar‬

Education

Dr. Rui Yingxu has pursued a distinguished academic journey rooted in engineering and transportation science. He earned his Bachelor’s degree in Civil Engineering from Taiyuan University of Technology, where he developed a strong foundation in structural design, traffic engineering, and urban transportation systems. His undergraduate studies provided him with the technical expertise and analytical mindset essential for advanced research in transportation planning. Building upon this foundation, Rui was admitted to Beijing University of Aeronautics and Astronautics (Beihang University), one of China’s top institutions, where he undertook his doctoral studies in Transportation Planning and Management. His Ph.D. research focused on transportation system modeling, bicycle traffic dynamics, and evacuation strategies in public health emergencies. His dissertation integrated computational modeling, behavioral analysis, and urban mobility planning, contributing to innovative solutions for traffic safety and resilience. During his doctoral years, Rui also gained international research experience as a visiting scholar at Monash University, Australia. This exposure enhanced his global perspective and collaborative abilities, preparing him for interdisciplinary research and teaching. His educational background demonstrates a consistent trajectory toward excellence in transportation science and engineering research.

Experience

Dr. Rui Yingxu has accumulated rich research and academic experience in the field of transportation systems. He has been serving as a Lecturer at the School of Engineering, Zhejiang Normal University, where he is engaged in both teaching and research. His current work emphasizes traffic flow modeling, evacuation planning, and intelligent transportation strategies, bridging theoretical modeling with practical applications for sustainable urban mobility. Prior to his faculty appointment, Rui gained international academic experience as a visiting researcher at the School of Engineering, Monash University, Australia. This experience provided him with valuable exposure to global transportation research methodologies and collaborative projects, particularly in the area of traffic dynamics and group behavior in mobility systems. In addition to his teaching role, Rui has actively participated in major funded research projects. Notably, he is a participant in the National Natural Science Foundation of China’s general project, which focuses on modeling human movement behavior and developing emergency evacuation strategies under the context of strong infectious diseases. Through his academic and research positions, Rui has demonstrated a strong commitment to advancing transportation science, nurturing young engineers, and contributing to resilient, efficient, and safe mobility systems.

Honors and Awards

Dr. Rui Yingxu’s academic achievements are reflected in his growing portfolio of publications and his participation in prestigious national-level projects. His involvement in the National Natural Science Foundation of China’s general project is a recognition of his research competence and contribution to national priorities in transportation and public safety. While still early in his academic career, Rui has made impactful contributions as the first author of several high-quality journal articles in internationally recognized journals such as Simulation Modelling Practice and Theory and Journal of Advanced Transportation. His research on bicycle traffic modeling and evacuation strategies has gained attention for its innovative integration of behavioral dynamics with traffic flow theory. Rui’s recognition also comes through international exposure, including his selection as a visiting researcher at Monash University, Australia, during his doctoral studies—a competitive opportunity that highlights his academic promise and cross-cultural research capabilities. His representative works are regularly cited and have strengthened his reputation as an emerging scholar in transportation engineering. With an increasing trajectory of achievements, Rui is expected to receive further academic honors and research leadership roles in the near future as he continues to make influential contributions to the field.

Research Focus

Dr. Rui Yingxu’s research centers on transportation planning, traffic dynamics, and human mobility modeling. His primary focus is on understanding and simulating bicycle traffic flow, pedestrian behavior, and evacuation processes in complex urban environments. By leveraging computational models such as cellular automata and social force models, Rui aims to capture the nuanced interactions among individuals and groups in traffic systems. A significant aspect of his work addresses how group behaviors and retrograde movements influence bicycle traffic at signalized intersections. These findings contribute to optimizing infrastructure design and improving safety in shared traffic spaces. Additionally, Rui investigates the dynamics of cooperative and counterflow behaviors in bicycle traffic, expanding the scope of transportation modeling beyond conventional vehicle-centric frameworks. Another key area of his research involves emergency evacuation strategies under the context of strong infectious diseases. His participation in the National Natural Science Foundation of China’s project reflects his contribution to developing robust evacuation control strategies, integrating behavioral science with transportation engineering to enhance public safety during crises. Through interdisciplinary approaches, Rui’s research contributes to the advancement of sustainable mobility, intelligent traffic management, and resilient urban systems, positioning him as a promising scholar in transportation and mobility studies.

Publications

  • An extended cellular automaton model for bicycles with group and retrograde behaviors at signalized intersections, Simulation Modelling Practice and Theory

  • An Improved Social Force Model for Bicycle Flow in Groups, Journal of Advanced Transportation

  • Impacts of group behavior on bicycle flow at a signalized intersection, Physica A: Statistical Mechanics and its Applications

  • A cellular automaton model accounting for bicycle’s group behavior, Physica A: Statistical Mechanics and its Applications

  • A cellular automaton model considering both cooperative and counterflow behaviors of bicycle traffic, Shandong Science.