Md. Abir Hossen

Ph.D. CandidateComputer ScienceUniversity of South CarolinaE-mail: mhossen@email.sc.eduCV

Area of Interest:

Autonomous and adaptive systems
Machine learning systems

Biography:

I am a Ph.D. candidate in the Computer Science and Engineering department at University of South Carolina. I am currently working at Artificial Intelligence and Systems Laboratory (AISys) as a Ph.D. research assistant under the supervision of Dr. Pooyan Jamshidi. Prior to starting the Ph.D., I worked as a graduate research assistant at the Unmanned and Swarm System (USS) lab. I completed my M.Sc. in Electrical Engineering from South Dakota School of Mines & Technology and B.Sc. in Electrical & Electronics Engineering from American International University-Bangladesh (AIUB).

News

Activities

Testing RASPBERRY-SI Framework

Fault-tolerant autonomy test in the OWLAT physical testbed at JPL, Pasadena, CA

JPL Visit

Visiting NASA Jet Propulsion Laboratory in Pasadena, CA (Abir (left), Pooyan (middle), and Sonam (right)).

Data collection- Multispectral Images

Visiting a farmland in Sturgis, SD for data collection via an agricultural drone (Abir (left, holding DJI Mavic 2 Pro drone), Ragi (right)).

NDVI Map

Image of the above farmland collected via a drone equipped with multispectral camera showing NDVI values.

Project Videos

CaRE IROS-2023

Finding root causes of configuration issues in highly-configurable robots.

RASPBERRY-SI Demo

RASPBERRY SI enable science instruments to autonomously adapt space lander and instrument software in response to newly discovered data on the planetary surface.

ASA V1.0

Autonomous Smart Assistance Robot to serve in the hospital.

Eye-Arm Interaction

Implementation and Testing of a Robotic Arm Control System using Eye Tracking for Assisting Disabled People in Bangladesh.