Anindya Bijoy Das

Dr. Anindya Bijoy Das is a tenure-track Assistant Professor in the Electrical and Computer Engineering department at The University of Akron's College of Engineering and Polymer Science, where he teaches courses including Wireless Communications (Spring 2025) and Digital Communication (Fall 2024). Prior to joining Akron in August 2024, he served as a Postdoctoral Researcher at Purdue University (2022-2024) following completion of his Ph.D. at Iowa State University in 2022, where he received the prestigious Karas Award for outstanding dissertation work.

His educational background includes:

• Ph.D. in Electrical Engineering, Iowa State University (2022)
• M.Eng. in Electrical Engineering, Iowa State University (2018)
• B.Sc. in Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology (2014)

Dr. Das's research focuses on cutting-edge areas at the intersection of machine learning, distributed systems, and communications. His primary interests include federated learning, AI/ML applications, distributed computation, information theory, and biomedical signal processing. Recent work explores the integration of large language models with traditional signal processing techniques, particularly for healthcare applications. His research bridges theoretical foundations with practical implementations, often addressing challenges in edge computing environments where computational resources are limited. The work demonstrates strong connections between theoretical information theory and practical system design.

Analysis of his publication portfolio reveals an evolving research trajectory with increasing emphasis on federated learning architectures, privacy-preserving techniques, and the application of reinforcement learning to communication optimization. His work spans wireless communications, information theory, and healthcare applications, with a consistent focus on solving computational bottlenecks in distributed environments. The interdisciplinary nature of his research is evident in publications spanning IEEE Transactions on Information Theory, IEEE Journal on Selected Areas in Communications, and IEEE Signal Processing Magazine.

His notable achievements include:

• Karas Award for Outstanding Dissertation in Mathematical and Physical Sciences and Engineering (2022)
• Research Excellence Award from Iowa State University (2021)
• Teaching Excellence Award from Iowa State University (2020)
• National Champion in Bangladesh Mathematical Olympiad (2008)
• Multiple Best Paper Awards at international conferences

Dr. Das currently leads a research group focused on three main thrusts: improving federated learning algorithms, enhancing distributed computation schemes, and developing novel AI/ML applications. He has secured a $73,000 grant from Autonomous and Connected Systems of Purdue Engineering Initiatives for research on AI tensor computations in edge networks. Actively seeking 1-2 highly motivated PhD students, he emphasizes practical implementation alongside theoretical advances, with applications spanning healthcare, wireless communications, and edge computing environments. His service as a reviewer for top-tier journals including IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Wireless Communications further demonstrates his standing in the research community.