Yunyi Zhang | Cognitive Sciences | Research Excellence Award

Published on by Innovation Technologist

Dr. Yunyi Zhang | Cognitive Sciences | Research Excellence Award

University of Wisconsin-Madison | United States

Dr. Yunyi (Icy) Zhang is a learning sciences researcher focused on embodied cognition, gesture, and visual representations in learning, with particular emphasis on statistics, data science, and computing education. Her work integrates cognitive developmental theory, experimental methods, and learning analytics to design evidence-based, scalable pedagogical approaches that enhance conceptual understanding across learners with varied prior knowledge. She has authored 13 scholarly documents with 61 citations across 52 citing documents and an h-index of 4, reflecting consistent impact across educational psychology and cognitive science. Her research advances theory-driven instructional design with strong relevance for technology-enhanced and equitable learning environments.

Citation Metrics (Scopus)

70

60

40

20

0

Citations 61

Documents 13

h-index 4

Citations

Documents

h-index

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Featured Publications

Designing Interactive Learning Tools for Enhancing Computational Thinking in Middle School Students

– Computers & Education, 2024

Using Eye-Tracking Data to Inform the Design of Programming Tutorials

– Journal of Learning Analytics, 2024

Exploring Collaborative Problem Solving in Online Coding Environments

– Computers in Human Behavior, 2023

Improving Novice Programmer Engagement Through Gamified Learning Modules

– Journal of Educational Technology, 2023

Gopal Saha | Operations Research | Best Researcher Award

Published on by Innovation Technologist

Mr. Gopal Saha | Operations Research | Best Researcher Award

PhD student at IIT Roorkee | India

Mr. Gopal Saha is a dedicated researcher and Ph.D. candidate in Management Studies at the Indian Institute of Technology Roorkee, with primary research interests in Integer Programming, Optimization, Transportation and Routing Problems, Machine Learning, and Game Theory. His scholarly work focuses on integrating operations research and data analytics to address real-world decision-making and sustainability challenges. He has presented influential research papers at renowned international conferences, including the IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) and the Transportation Infrastructure Projects: Conception to Execution (TIPCE), earning accolades such as a special mention award and selection for the Best Paper Award shortlist. Mr. Saha has actively participated in specialized academic workshops, including the ACM India Winter School, GIAN courses, and Large Scale Optimization programs at IITs, reflecting his deep engagement with cutting-edge research. His technical proficiency spans Python, C++, CPLEX, Gurobi, Pyomo, Sklearn, and Google OR-Tools, allowing him to combine computational models with theoretical insights in optimization and management science. As a Teaching Assistant, he has contributed to prestigious online programs on Artificial Intelligence, Machine Learning, and Strategic Supply Chain Management offered by IIT Roorkee in collaboration with Deloitte USI and Coursera. His growing academic footprint includes 1 citation, an h-index of 1, (all since 2020), highlighting his emerging impact in the field. Mr. Saha’s work exemplifies a strong blend of analytical rigor, innovation, and interdisciplinary research in optimization and management.

Profile: Google Scholar

Featured Publications

  1. Saha, G., & Gupta, M. K. (2023). Fair cost-savings allocation in transportation game. In Proceedings of the 2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE.

  2. Saha, G., & Gupta, M. K. (2025). Fair cost savings allocation in two-stage fixed-cost transportation problem. INFOR: Information Systems and Operational Research, 1–39.