Sayak Chatterjee | Research Excellence | Best Researcher Award

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Dr. Sayak Chatterjee | Research Excellence | Best Researcher Award

Dr. Sayak Chatterjee | University of Massachusetts | United States

Dr. Sayak Chatterjee is a distinguished Postdoctoral Research Scholar in the Department of Physics at the University of Massachusetts Amherst, USA, specializing in experimental high-energy nuclear and particle physics. His research focuses on precision measurements, detector development, and high-rate data acquisition systems for frontier experiments such as MOLLER at Jefferson Lab and CBM at FAIR, Germany. With advanced expertise in Gas Electron Multipliers (GEM), Cherenkov detectors, and GEANT4-based simulations, he has contributed significantly to detector innovation and performance optimization. Dr. Chatterjee has an impressive academic record, authoring 44 research documents with 179 citations and an h-index of 7, reflecting the impact of his contributions to detector physics. His scholarly excellence has been recognized through multiple international honors, including the Ernest Rutherford Best Researcher Award and the Young Research Grant at the Pisa Meeting on Advanced Detectors, Italy. Beyond research, he serves on editorial boards, reviews for leading journals, and actively mentors students, embodying excellence in both scientific innovation and academic leadership.

Profiles:  ORCID | Scopus | Google Scholar | LinkedIn

Featured Publications

Chatterjee, S. (2025). Characterization of Cherenkov detectors for the MOLLER experiment. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment.

Mandal, S., Chatterjee, S., Sen, A., Gope, S., Dhani, S., Hegde, A. C., … (2024). Investigation of the stability in the performance of triple GEM detectors for High Energy Physics experiments. Nuclear Instruments and Methods in Physics Research Section A.

Chatterjee, S., Sen, A., Das, S., & Biswas, S. (2023). Charging-up effect and uniformity study of a single mask triple GEM detector. Nuclear Instruments and Methods in Physics Research Section A.

Chatterjee, S., Sen, A., Das, S., & Biswas, S. (2023). Effect of relative humidity on the long-term operation of a single mask triple GEM chamber. Nuclear Instruments and Methods in Physics Research Section A.

Sen, A., Chatterjee, S., Das, S., & Biswas, S. (2023). Characterization of a new RPC prototype using conventional gas mixture. Nuclear Instruments and Methods in Physics Research Section A.

Mansour Amini | Research Excellence | Innovative Research Award

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Dr. Mansour Amini | University Sains Malaysia | Innovative Research Award 

Dr. Mansour Amini | University Sains | Malaysia

Dr. Mansour Amini is a distinguished academic, researcher, and translator whose expertise spans translation studies, applied linguistics, and English language teaching. He serves as a senior lecturer at Universiti Sains Malaysia, where he contributes actively to teaching, research, and postgraduate supervision. His professional journey includes leadership roles in higher education, where he has coordinated courses, guided research teams, and contributed to programme development and innovation. Fluent in multiple languages, including English, Persian, Azerbaijani, and Turkish, with working knowledge of others, he brings a unique cross-cultural perspective to his scholarship. Dr. Amini’s research covers translation quality assessment, interpreting, language pedagogy, feedback practices, and the integration of artificial intelligence in translation studies. He has published widely in reputable international journals, with his body of work comprising more than forty scholarly documents that have collectively earned over 216 citations across more 152  academic sources, reflected in a citation index of 7. Beyond research, he has been recognized with awards for teaching excellence, academic leadership, and impactful scholarly contributions. His professional engagements also extend to international collaborations, visiting professorships, and fellowships, reflecting his global academic footprint. Dedicated to fostering academic growth, he continues to inspire students and colleagues through innovative research, interdisciplinary collaboration, and a passion for multilingual education.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

Amini, M. (2025). Book review: AI revolution: Profitable opportunities in the age of artificial intelligence. Journal of Multidisciplinary in Social Sciences.

Amini, M., & Zahabi, A. (2025). Communicating across borders: Unveiling the pragmatic foundations in applied linguistics. International Review of Pragmatics.

Amini, M., Lee, K.-F., & Yiqiu, W., & Ravindran, L. (2025). Proposing a framework for ethical use of AI in academic writing based on a conceptual review: Implications for quality education. Interactive Learning Environments.

Amini, M., Wang, Q., Amini, D., Ravindran, L., Tan Ai Lin, D., Ganapathy, M., Singh, M. K. M., Bartsch, D. U. G., Cheng, L., & Ferreyra, H. A., et al. (2025). The significance of humanistic approach and moral development in English language classrooms. Discover Education.

Alavi, S., Amini, M., & Zahabi, A. (2025). Postgraduate TEFL students’ perceptions towards thesis supervision quality in Thailand: The role of expectations and negotiation in supervision quality. Reflections.

Yeoh, S. W., Amini, M., Lee, K.-F., & Oumeng, H. (2025). Analysing individual racism portrayal in Hanna Alkaf’s novel The weight of our sky. Cogent Arts & Humanities, 12(1).

Wu, S., Amini, M., & Mahfoodh, O. H. A. (2025). Unveiling certainty and doubt: A systemic functional exploration of epistemic modality in courtroom discourse. International Journal for the Semiotics of Law – Revue internationale de Sémiotique juridique.

Amini, M. (2025). Navigating health information in the age of artificial intelligence. Multimedia and Sensory Input for Augmented, Mixed, and Virtual Reality.

Amini, M. (2025). Cutting-edge approaches in translator education and pedagogy. Cutting-Edge Approaches in Translator Education and Pedagogy.

Zahra Amini | Emerging Technologies | Best Researcher Award

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Assist. Prof. Dr. Zahra Amini | Emerging Technologies | Best Researcher Award

Assist. Prof. Dr. Zahra Amini | Sharif University of Technology | Iran

Dr. Zahra Amini is an Assistant Professor of Civil Engineering at Sharif University of Technology, specializing in intelligent transportation systems, sustainable mobility, and operations research for urban traffic management. She earned her Ph.D. in Civil and Environmental Engineering from the University of California, Berkeley, and has led impactful projects in Iran and the U.S., ranging from corridor management to urban traffic resilience. With several high-impact publications, awards, and ongoing research on data-driven and machine learning approaches to transportation systems, she is recognized for advancing reliable, sustainable, and intelligent urban mobility solutions.

Academic Profile 

Google Scholar

Education

Dr. Zahra Amini completed her higher education in Civil and Environmental Engineering at the University of California, Berkeley, where she advanced her expertise in transportation systems and sustainable infrastructure. Alongside her major studies, she pursued minors in Industrial Engineering, Operations Research, and City and Regional Planning, which provided her with a strong interdisciplinary foundation. Her doctoral thesis focused on data-driven approaches for developing robust signal plans in urban transportation networks, reflecting her commitment to integrating advanced analytical methods with practical engineering challenges. This academic background equipped her with the technical knowledge and research skills that now define her scholarly and professional contributions.

Professional Experience

Dr. Amini serves as an Assistant Professor in the Department of Civil Engineering at Sharif University of Technology, where she teaches both undergraduate and graduate courses. Her teaching portfolio includes systems engineering, traffic engineering, and advanced transportation analysis, complemented by the design of a specialized course in Intelligent Transportation Systems. In addition to her academic role, she manages several research and development projects aimed at improving urban transportation and logistics planning. She has also gained international experience through her work at California Partners for Advanced Transportation Technology, contributing to projects focused on corridor management and traffic system optimization.

Research Interests

Dr. Amini’s research is centered on intelligent transportation systems, sustainable mobility solutions, and operations research applications in transportation system design. She focuses on integrating data-driven and machine learning methods to analyze and improve urban traffic flow, evaluate network resilience, and design reliable transport strategies. Her work also explores the operational sustainability of urban traffic networks and the role of intelligent systems in shaping resilient cities. By bridging theoretical models with applied research, she contributes innovative solutions to the pressing challenges of modern transportation.

Awards and Honors

Dr. Amini has received recognition for her teaching and research contributions through multiple awards. She has been honored for designing innovative courses in Intelligent Transportation Systems and has secured research grants supporting the development of advanced mobility solutions. Her scholarly excellence has been acknowledged with distinctions such as best paper and best presentation awards at international conferences. Additionally, she has been awarded prestigious fellowships that supported her academic journey and research endeavors, reflecting her status as a promising leader in the field of transportation engineering.

Publications

Agent-Based Modeling for Sustainable Urban Passenger Vehicle Mobility: A Case of Tehran
Author: M.E. Doraki, A. Avami, M. Boroushaki, Z. Amini
Journal: Transportation Research Part D: Transport and Environment
Year: 2024

Optimizing offsets in signalized traffic networks: A case study
Author: Z. Amini, S. Coogan, C. Flores, A. Skabardonis, P. Varaiya
Journal: IEEE Conference on Control Technology and Applications (CCTA)
Year: 2018

The Impact of Network Indices Integration on Traffic Flow Imputation Accuracy: A Machine Learning Approach
Author:  S. Sabzekar, A. Roudbari, A. Dehghani, A. Safaeiestalkhzir, Z. Amini
Journal: IEEE Transactions on Intelligent Transportation Systems
Year: 2025

Using neural network for predicting hourly origin-destination matrices from trip data and environmental information
Author: E. Hassanzadeh, Z. Amini
Journal: Scientia Iranica
Year: 2024

Unsupervised learning for topological classification of transportation networks
Author: S. Sabzekar, M.R.V. Malakshah, Z. Amini
Journal: arXiv preprint –
Year: 2023

Data-Driven Approaches for Robust Signal Plans in Urban Transportation Networks
Author: Z. Amini
Journal:  University of California, Berkeley (Thesis)
Year: 2018

Spatial network-wide traffic flow imputation with graph neural network
Author: S. Sabzekar, R. Bahmani, M. Ghasemi, Z. Amini
Journal:  International Journal of Intelligent Transportation Systems Research
Year: 2025

Analyzing the impacts of gasoline price change on nationwide trip demand and drivers’ behavior using regression discontinuity design
Author: S. Saeidi, Z. Amini
Journal: Scientia Iranica
Year: 2024

Conclusion

Dr. Zahra Amini’s distinguished academic background, impactful research in intelligent and sustainable transportation systems, and recognized leadership in advancing innovative solutions firmly establish her as an outstanding candidate for the Best Researcher Award. Her dedication to bridging research, education, and real-world applications makes her not only deserving of this recognition but also a valuable contributor to the global scientific community.