- Email:
- saychow@iu.edu
Education
- Ph.D. Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana (2024)
- B.Sc. Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh (2016)
Biography
Sayeed Shafayet Chowdhury joined the Department of Computer Science at IU Indianapolis, Luddy School of Informatics, Computing, and Engineering, as an assistant professor in Fall 2026.
Before joining IU Indianapolis, Chowdhury served as a visiting assistant professor at Purdue University, where he worked on machine learning and generative AI approaches for biomedical decision support, including chronic rhinosinusitis surgical outcome prediction and multimodal clinical-imaging pipelines.
His research focuses on efficient machine learning, neuromorphic computing, spiking neural networks, computer vision, multimodal AI, and biomedical AI. His contributions include developing low-latency and energy-efficient spiking neural network algorithms, optimal transport methods for unsupervised video learning, vision-based surgical phase recognition methods, and machine learning pipelines for biomedical signal and image analysis. Chowdhury has published in leading venues and journals including NeurIPS, ECCV, ICCV, EMNLP Findings, IEEE Access, Nature Communications Engineering, APL Materials, Neurocomputing, and IEEE Journal of Biomedical and Health Informatics. His work has received several awards and recognitions, including Purdue’s TRACER Grant, Meta’s ECCV travel grant, Purdue ECE’s Research Idea Contest first prize, IEEE Signal Processing Cup awards, and best paper awards at IEEE Region 10 HTC and ICECE.
At IU Indianapolis, Chowdhury plans to establish a research group focused on efficient and trustworthy AI systems for vision, healthcare, robotics, and edge intelligence.
Research interests
- Efficient Neuromorphic computing
- Event-based Vision
- Multimodal AI
- Biomedical artificial intelligence
- Generative AI for healthcare decision support