I am Raihan Tanvir, currently serving as a Lecturer in the Department of Computer Science and Engineering at Ahsanullah University of Science and Technology (AUST) in Dhaka, Bangladesh. I hold a Bachelor of Science in Computer Science and Engineering from AUST. My research interests encompass a broad spectrum of artificial intelligence, with a particular focus on computer vision, natural language processing, and federated learning. The majority of my research is focused on leveraging generative adversarial networks (GANs) to address various practical challenges, particularly in the context of our local environment.Before joining AUST, I served as a Lecturer at Stamford University Bangladesh, where I contributed sincerely through my efforts in teaching and development of curriculum. I am passionate about teaching and mentoring students, and I strive to foster a collaborative learning environment.In addition to my teaching responsibilities, I am actively engaged in multiple research projects in collaboration with my students and peers. I am excited about the potential of technology to drive innovation and improve lives, and I am committed to contributing to this field through both my teaching and research efforts.
For more information please see my CV.
BSc in CSE
Ahsanullah University of Science and Technology, Dhaka, Bangladesh
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Handwritten character recognition is a significant research area, especially for languages like Bengali where quality OCR applications are scarce. Merging machine learning and deep learning techniques, including CNN, improves accuracy. The use of Grad-CAM as an XAI method enhances model interpretability.
This work uses Hidden Markov Models (HMM) to predict next-day stock prices based on historical data, focusing on fractional price changes and intraday highs and lows. The Maximum a Posteriori HMM method showed satisfactory results and can generalize to predict stock prices for any company with proper training.
