About me

I am a Ph.D. candidate in the Computer Science and Engineering department at the University of North Texas, where I am also serving as a Graduate Research Assistant in the Biomedical AI lab. My research is focused on a fast and flexible gesture recognition system using wearable sensor data for motor-impaired individuals who cannot speak. I am particularly interested in exploring transfer learning, continual learning, and meta-learning strategies for custom gesture training with a few examples. Under the supervision of Dr. Mark V. Albert and Dr. Weishi Shi, I am utilizing my expertise in deep learning and AI to make a real-world impact and improve the lives of those in need. Previously, I completed Bachelor of Science in Computer Science and Engineering at the Chittagong University of Engineering and Technology in Bangladesh.

News

• July 2024: The Ph.D. proposal is done.
• May 2024: One research paper is accepted in IJCAI 2024.
• March 2023: One research paper is accepted in ICHI 2023.
• February 2023: One research paper is accepted by the Journal of Patient-Reported Outcomes.
• December 2022: One research paper is accepted by the MDPI sensors.
• November 2022: I have passed the Ph.D. qualifying exam.
• April 2022: Our research has been highlighted in the media: North Texas Television, UNT News, North Texas Daily.
• February 2022: Book chapter has been published.
• September 2021: Presented a research poster at the ACRM 2021[Presentation video].
• August 2021: Undergrad research work has been accepted in ICACC-2021.
• June 2021: Selected to participate in the 3-week “NMA-Deep Learning” course offered by Neuromatch Academy.
• October 2020: One research paper is accepted in DMIP-2020.
• September 2020: I, along with other Machine Learning researchers organized a technical session titled “Best Practices for Validating Machine Learning in Medicine” at the 2020 Tapia Conference. [Session video].
• September 2020: Presented one research poster at the 2020 Tapia Conference. [Presentation video].