Xuechen Liang | Computer Science | Research Excellence Award Published on 19/01/202620/01/2026 by Innovation Technologist Mr. Xuechen Liang | Computer Science | Research Excellence Award Master | East China Jiaotong University | China Mr. Xuechen Liang is a computer science researcher focused on large language models, multi-agent systems, and intelligent analysis in imperfect information settings. His research addresses commentary generation, strategic reasoning, and agent collaboration, with notable contributions to top-tier venues such as IJCAI, EACL, AAAI, and IEEE Access. His work spans personalized role-playing frameworks, self-evolving and memory-augmented agents, psycholinguistically inspired token reduction, and collaborative tuning methods to enhance model efficiency and performance. His scholarly output includes 7 research documents, receiving 8 citations, and reflects an h-index of 2, demonstrating growing academic impact in advanced AI and language model research. Citation Metrics (Scopus) 10 8 6 4 2 0 Citations 8 Documents 7 h-index 2 Citations Documents h-index View Scopus Profile Featured Publications SAGE: Self-Evolving Agents with Reflective and Memory-Augmented Abilities – Neurocomputing, 2025 Enhancing Commentary Strategies for Imperfect Information Card Games: A Study of Large Language Models in Guandan – IJCAI (Top-Tier Conference), 2024 RoleCraft-GLM: Advancing Personalized Role-Playing in Large Language Models – EACL (Top-Tier Conference), 2023 LinguaShrink: Reducing Token Overhead with Psycholinguistics – IEEE Access (SCI-Indexed), 2024 Self-Evolving Agents with Reflective Memory for Complex Decision Tasks – arXiv Preprint, 2024
Mr. Xuechen Liang is a computer science researcher focused on large language models, multi-agent systems, and intelligent analysis in imperfect information settings. His research addresses commentary generation, strategic reasoning, and agent collaboration, with notable contributions to top-tier venues such as IJCAI, EACL, AAAI, and IEEE Access. His work spans personalized role-playing frameworks, self-evolving and memory-augmented agents, psycholinguistically inspired token reduction, and collaborative tuning methods to enhance model efficiency and performance. His scholarly output includes 7 research documents, receiving 8 citations, and reflects an h-index of 2, demonstrating growing academic impact in advanced AI and language model research. Citation Metrics (Scopus) 10 8 6 4 2 0 Citations 8 Documents 7 h-index 2 Citations Documents h-index
Sachin Karmuse | Image Processing | Best Researcher Award Published on 25/09/202526/09/2025 by Innovation Technologist Dr. Sachin Karmuse | Image Processing | Best Researcher Award Assistant Professor at DKTE’s Textile & Engineering Institute | India Dr. Sachin Mohan Karmuse is an accomplished academic and researcher in the field of Electronics and Telecommunication Engineering with nearly two decades of teaching and research experience. He currently serves as an Assistant Professor at DKTE Society’s Textile and Engineering Institute, Ichalkaranji, where he has been actively engaged in teaching, research, and academic development. He earned his Ph.D. in Electronics Engineering from Visvesvaraya Technological University with a thesis on an improved system for heart rate monitoring using webcam-based analysis. His research interests include image processing, embedded systems, database engineering, artificial intelligence, and machine learning, supported by strong expertise in programming languages such as C, C++, Python, Java, and ASP.net, as well as software tools like Matlab, OrCAD, Proteus, and Xilinx. Dr. Karmuse has published 22 research papers in reputed journals and conferences, contributing significantly to the advancement of knowledge in his domain. His research impact is reflected in 15 citations by 15 documents, 7 indexed documents, and an h-index of 2. In addition to his research contributions, he is a life member of the Indian Society for Technical Education and has served as a Board of Studies member in his department. His academic profile reflects dedication to innovative teaching, applied research, and advancing technology in healthcare and intelligent systems. Profile: Scopus Featured Publications (2025). A robust rPPG approach for continuous heart rate measurement based on face. Journal of the Institution of Engineers (India): Series B. Advance online publication.
Dr. Sachin Mohan Karmuse is an accomplished academic and researcher in the field of Electronics and Telecommunication Engineering with nearly two decades of teaching and research experience. He currently serves as an Assistant Professor at DKTE Society’s Textile and Engineering Institute, Ichalkaranji, where he has been actively engaged in teaching, research, and academic development. He earned his Ph.D. in Electronics Engineering from Visvesvaraya Technological University with a thesis on an improved system for heart rate monitoring using webcam-based analysis. His research interests include image processing, embedded systems, database engineering, artificial intelligence, and machine learning, supported by strong expertise in programming languages such as C, C++, Python, Java, and ASP.net, as well as software tools like Matlab, OrCAD, Proteus, and Xilinx. Dr. Karmuse has published 22 research papers in reputed journals and conferences, contributing significantly to the advancement of knowledge in his domain. His research impact is reflected in 15 citations by 15 documents, 7 indexed documents, and an h-index of 2. In addition to his research contributions, he is a life member of the Indian Society for Technical Education and has served as a Board of Studies member in his department. His academic profile reflects dedication to innovative teaching, applied research, and advancing technology in healthcare and intelligent systems. Profile: Scopus Featured Publications (2025). A robust rPPG approach for continuous heart rate measurement based on face. Journal of the Institution of Engineers (India): Series B. Advance online publication.