I am a Post-doctoral researcher at ICU Data Science Lab of University of Wisconsin-Madison. My research focuses on developing multi-modal computer vision algorithms for medical imaging and Electronic Health Record (EHR). My research interest lies in the intersect of Robotics, computer vision, signal processing, deep learning and natural language processing (NLP).

I have received my PhD degree from Cognitive Ubiquitous Computing and System (CUBICS) lab of Department of Computer Science, Umass Lowell. My research focused on designing and development of high fidelity mobile robot sensing technologies with domain adaptation. I also have worked with medical imaging and health care data. I have received my B.S in Electrical and Electronics Engineering from Bangladesh University of Engineering and Technology in 2017. I worked in Hiperdyne Corporation, Tokyo, Japan from 2018 to 2019 as Machine Learning Engineer.  I love to travel, hiking, mountain biking, skiing and other outdoor activities in my leisure time.

• [January, 2024] I have joined the ICU Data Science Lab at University of Wisconsin-Madison as a Postdoctoral Research Associate.

• [November, 2023] I have successfully defended my PhD dissertation.

• [March, 2023] IJMR paper "Effects of Antidepressants on COVID Outcome: A Retrospective Study on Large Scale Electronic Health Record Data" got accepted in the  Interactive Journal of Medical Research

• [December, 2022] Passed my doctoral dissartation proposal defense titled "Toward Developing Multi-modal Deep Simultaneous Learning: Theory And Applications"

• [November, 2022] WACV'23 paper "Semi-Supervised Domain Adaptation with Auto-Encoder via Simultaneous Learning" got accepted.

• [October, 2022] MSN'22 paper "Enabling Heterogeneous Domain Adaptation in Multi-inhabitants Smart Home Activity Learning" got accepted.

• [July, 2021] IROS'21 paper " Knowledge Transfer across Imaging Modalities Via Simultaneous Learning of Adaptive Autoencoders for High-Fidelity Mobile Robot Vision" got accepted.