Toqi Tahamid Sarker

Current Research

I am a third-year Computer Science Ph.D. student at Southern Illinois University Carbondale, specializing in computer vision and deep learning for agricultural applications. Working under Dr. Khaled Ahmed at the BASE Lab, I develop AI systems for precision agriculture and environmental monitoring through USDA-funded research projects conducted in collaboration with SIU's School of Agricultural Sciences.

My current work focuses on creating efficient multi-task learning frameworks that enable real-time agricultural automation, with particular emphasis on methane emission detection from livestock using transformer-based architectures. I have developed novel vision models that simultaneously perform segmentation, detection, and classification tasks while maintaining computational efficiency for deployment in agricultural settings.

Background

Previously, I was a Graduate Research Assistant at Georgia State University, working closely with Dr. Juan Banda at the Panacea Lab, where I conducted research on solar event tracking. I earned my B.S. in Computer Science from BRAC University in Bangladesh.

My research focuses on advancing computer vision through efficient deep learning architectures, specializing in multi-task learning frameworks for segmentation, detection, and tracking, with expertise in semi-supervised data labeling using traditional computer vision methods.

Research Focus Areas

My research topics center on Computer Vision and Deep Learning, especially in: