Bio
Inspired by both human and machine intelligence, my research interests intersect AI in Healthcare and medicine, Computer Vision, Medical Imaging , Computational Neuroscience and Biomedical Informatics together to understand cognitive hurdles to make better decisions for actions (especially in healthcare and medicine space).
I'm interested in building reliable and affordable AI tools/technologies to diagnose diseases faster to provide treatment at the right time, with a focus on filling out black boxes in neurodegenerative diseases.
Before graduating from AUW, in Spring 2021, I had the opportunity to study Neural Engineering as a guest student in the Department of Biomedical Engineering at Yale University, where I was fortunate to be advised by Dr. D.S. Fahmeed Hyder. I also studied Neuroscience at Cornell University in Fall 2020 as a part of an exchange program.
At Asian University for Women (AUW), I did independent research for consecutive seven semesters. My research projects were advised by Prof. Shopon Mollah, Prof. Abdul Azim, and Prof. Zulfikar Alom. I also served as TA (Teaching Assistant) for Physics I and Physics II courses. I took Abbive lectures offered by Abbott Laboratories for consecutive two semesters in my senior year. I have been a part of the first cohort of AUW-Microsoft Technical Certification.
Activities outside academics
I am an advocate of Women in STEM. I brainstorm on how to eradicate the gender gaps in STEM. Aside from academics, I mentored a diverse group of students at AUW AI Society so that they can apply AI in their majors. To encourage students to start their journey in AI, I organized a Basic Python Bootcamp in October with more than 100 students. Additionally, I was the Managing Editor & Web-Editor of the campus newspaper The Echo AUW, and founded The Echo AUW Extended Group in Summer 2020.
Research Interests/Areas
AI in Medicine & Healthcare
Computational Neuroscience
Neural Engineering
Commonsense AI
Trustworthy AI