Tashnim Chowdhury

Dr. Tashnim Chowdhury is a Professor in the Department of Computer Science at Capitol Technology University. He holds a Ph.D. in Information Systems (AI and Machine Learning) from the University of Maryland Baltimore County, an M.S. in Electrical Engineering from the University of Toledo, and a B.S. in Electrical and Electronics Engineering from Chittagong University of Engineering and Technology.

His research focuses on Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing, with applications in disaster damage assessment and large language models. He has published extensively on topics like UAV-based semantic segmentation for natural disaster analysis and high-resolution aerial imagery datasets for post-flood scene understanding.

Dr. Chowdhury has over 3 years of industry experience as a Machine Learning Engineer and Software Engineer at companies such as Comcast, Intel, and Fluence Automation. His work bridges academic research with practical applications in AI, generative models, and environmental monitoring. He has advised students in academic settings and contributes to dataset development for critical infrastructure analysis.