Mahmoud Mashal | Engineering | Best Researcher Award

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Mahmoud Mashal | Engineering | Best Researcher Award

University of Tehran | Iran

Dr. Mahmoud Mashal is a distinguished scholar and researcher in Civil Engineering, specializing in Hydraulics, with extensive academic and professional experience spanning several decades. He earned his Ph.D. in Civil Engineering with a focus on Hydraulics from the University of Manchester following his M.Sc. in Irrigation and Drainage Engineering  and B.Sc. in Irrigation Engineering  from Shahid Chamran University of Ahvaz. Throughout his career, Dr. Mashal has been dedicated to advancing research and education in hydraulic structures, water resource management, and irrigation systems. His work integrates theoretical insights with practical applications to address complex challenges in water engineering, sustainable irrigation design, and environmental hydraulics. As a faculty member at the University of Tehran’s Aburaihan Campus, he has played a key role in teaching, mentoring graduate students, and conducting interdisciplinary research aimed at improving the efficiency and sustainability of water systems in arid and semi-arid regions. His scholarly contributions include numerous research papers, conference presentations, and technical reports that have strengthened the field’s understanding of hydraulic modeling, sediment transport, and water flow dynamics. Dr. Mashal’s expertise and leadership have earned him recognition within academic and professional circles, where he continues to contribute to national and international collaborations focused on water resource development and environmental protection. His commitment to innovation and applied research reflects a lifelong dedication to addressing global water challenges and fostering sustainable engineering practices for future generations.
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Featured Publications

  • Shokati, H., Mahmoud, M., Noroozi, A. A., Mirzaei, S., Mohammadi-Doqozloo, Z., Nabiollahi, K., Faghizadeh-Mehrjerdi, R., Khosravani, P., Adhikari, R., Hu, L., & Scholten, T. (2025). Comparing UAV-based hyperspectral and satellite-based multispectral data for soil moisture estimation using machine learning. Water, 17(11), 1715.

  • Zanjani, M., Mahmoud, M., & Pour Gholam Amiji, M. (2025). The effect of biochar and irrigation water quality on maize yield and water productivity. Iranian Journal of Irrigation and Drainage, 18(6), 927–936.

  • Ghasemnezhad, S., Nikoo, M. R., Mahmoud, M., Al-Rawas, G., Nazari, R., Azadegan, B., Mishra, A., & Simunek, J. (2025). A copula framework for depth-stratified water quality monitoring in reservoirs. Journal of Water Process Engineering, 2(2), 1–22.

  • Seyed Ali, H., Javadi, S., Mahmoud, M., Azadegan, B., & Havid, K. (2024). Assessment of water, food, and energy efficiency indicators with a nexus approach and sustainable agricultural management. Drought and Climate Change Research, 2(2), 57–76.

  • Shokati, H., Mahmoud, M., Noroozi, A. A., Abkar, A. A., Mirzaei, S., Mohammadi Forough, Z., Faghizadeh-Mehrjerdi, R., Khosravani, P., Nabiollahi, K., & Scholten, T. (2024). Random forest-based soil moisture estimation using Sentinel-2, Landsat-8/9, and UAV-based hyperspectral data. Remote Sensing, 16(11), 1962.

  • Bourbour, H., Abdolahipour, M., Abdollahi, H., & Mahmoud, M. (2024). Barley yield forecasting based on remote sensing data and XGBoost and SVM machine learning algorithms. Journal of Water and Irrigation Management (Journal of Agriculture), 13(4), 1119–1137.

Ammasi Periasamy | Engineering | Best Researcher Award

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Ammasi Periasamy | Engineering | Best Researcher Award

University of Virginia | United States

Dr. Periasamy is an internationally renowned scientist recognized for his groundbreaking contributions to the development of advanced optical microscopy techniques for imaging and analyzing single cells, tissues, and living organisms. His pioneering research focuses on designing and developing cutting-edge optical methodologies to study molecular interactions and cellular processes in real time. A major highlight of his recent work is the development of the Fluorescence Lifetime Redox Ratio (FLIRR), an innovative technique used to investigate cellular metabolism and mitochondrial dysfunction, with promising applications in the early detection of prostate cancer and its correlation with PSA levels. Widely regarded as one of the pioneers of fluorescence lifetime imaging microscopy (FLIM), Dr. Periasamy has made significant advances in monitoring calcium oscillations within living cells and developing 2- and 3-color confocal, multiphoton, and FLIM-based Förster resonance energy transfer (FRET) imaging systems for visualizing protein interactions in living specimens. His prolific scholarly output includes over 185 refereed journal publications, numerous book chapters, and proceedings, along with more than 200 invited lectures at national and international platforms. As a respected leader in his field, he has edited three books and serves as the series editor for the “Cellular and Clinical Imaging” book series, encompassing 11 volumes. Dr. Periasamy also plays a key role in the global microscopy community as the chairperson and organizer of the annual SPIE conference on Multiphoton Microscopy in the Biomedical Sciences since 2001 and conducts a highly regarded hands-on training workshop on FLIM, FRET, and metabolic imaging at the University of Virginia each year. In recognition of his outstanding scientific achievements and contributions to optical microscopy, he was elected a Fellow of the SPIE Optical Society in 2012.

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Featured Publications

Alam, S. R., Mahadevan, M. S., & Periasamy, A. (2023). Detecting RNA–Protein Interactions with EGFP-Cy3 FRET by Acceptor Photobleaching. Current Protocols, 3(2), e689.

Norambuena, A., Sun, X., Wallrabe, H., Cao, R., Sun, N., Pardo, E., Shivange, N., Wang, D. B., Post, L. A., Ferris, H. A., Hu, S., Periasamy, A., & Bloom, G. S. (2022). SOD1 mediates lysosome-to-mitochondria communication and its dysregulation by amyloid-β oligomers. Neurobiology of Disease, 169, Article 105737.

Zhang, J., Wallrabe, H., Siller, K., Mbogo, B., Cassidy, T., Alam, S. R., & Periasamy, A. (2025). Measuring metabolic changes in cancer cells using two-photon fluorescence lifetime imaging microscopy and machine-learning analysis. Journal of Biophotonics, 18, e202400426.

 Alam, S. R., Wallrabe, H., Christopher, K. G., Siller, K. H., & Periasamy, A. (2022). Characterization of mitochondrial dysfunction due to laser damage by 2-photon FLIM microscopy. Scientific Reports, 12, Article 11938.

Zhou, L., & El-Deiry, W. S. (2009). Multispectral fluorescence imaging. Journal of Nuclear Medicine, 50(10), 1563-1566.

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.