Md. Abir Hossen

Ph.D. StudentComputer Science and EngineeringUniversity of South CarolinaE-mail: mhossen@email.sc.edu

Area of Interest:

  • Autonomous and adaptive systems

  • Machine learning systems

Biography:

I am a Ph.D. student 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 graduate research assistant under the supervision of Dr. Pooyan Jamshidi and conducting research on developing ML models for a Space Lander of the NASA Europa mission in collaboration with the NASA Ocean Worlds autonomy testbed team, JPL, and Carnegie Mellon University. Prior to starting the Ph.D., I worked as a graduate research assistant at the Unmanned and Swarm System (USS) lab, where I developed a near real-time UAV-based multispectral sensing solution for agricultural soil monitoring. I completed my Masters in Electrical Engineering from South Dakota School of Mines and Technology and Bachelors in Electrical & Electronics Engineering from American International University-Bangladesh (AIUB). During my undergrad, I worked as a Research Assistant at the Access to Information (a2i) of the Prime Minister's Office of Bangladesh from 2016-2018 and developed an Automated Medical Assistant (AMA).

News

04/2021: Our paper "Total Nitrogen Estimation in Agricultural Soils via Aerial Multispectral Imaging and LIBS" is accepted for publication in Scientific Reports.

04/2021: Our paper "Hybrid Ant Based Clustering for Data Clustering" is accepted for publication in IEEE World AI IoT Congress.

04/2021: Our paper "Developing a Mobile Automated Medical Assistant for Hospitals in Bangladesh" is accepted for publication in IEEE World AI IoT Congress.

04/2021: Successfully defended my MS thesis - 04/05/2021.

03/2021: Admitted to the Computer Science- Ph.D. program of the University of South Carolina with a Graduate Research Assistantship.

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

Eye-Arm Interaction

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

ASA V1.0

Autonomous Smart Assistance Robot to serve in the hospital.

ARC-71 URC-2016

MARS rover prototype for University Rover Challenge-2016 competition.

ARC-71 ERC-2016

MARS rover prototype for European Rover Challenge-2016 competition.