I am currently a Data Scientist at Interactive Neuro-rehabilitation Lab ( INR ) and a Ph.D. candidate from Biomedical Engineering in University of Southern California (USC).

Previously, I worked at Interactive Neuro-rehabilitation Lab ( INR ) at Virginia Tech as a research assistant. My research focused on understanding upper extremity stroke survivor's movement patterns and stroke rehab.

I graduated from Bangladesh University of Engineering and Technology with a BS.C. in Electrical and Electronics Engineering. I designed a low-cost automated injecting device that can find vein location and draw blood from the vein using an injection. I also worked on musical beat detection that exploits extensive signal analysis skills.

From October, 2017 , I was appointed as a Research Engineer to work on ultrasound image reconstruction. I worked with the radiologists to collect ultrasound data in clinical setup and used that to understand the pathology of different abdomen diseases. For this project, I developed a deep neural network called the "SHEAR-net" to reconstruct novel elastography images.

After joining Virginia Tech, I have been working as a research assistant with the Interactive Neuro-rehabilitation Lab (INR). I lead the machine learning team to analyze videos of upper extremity stroke patient's performing SARAH exercises. This involved developing time series segmentation algorithm and task assessment models for the SARAH exercises. With this experience, I was also able to mentor 3 undergrads and an MS student

I enjoy going for a hike, playing cricket and soccer, reading, and listening to music in my free time!