Toqi Tahamid Sarker
Scholar

Toqi Tahamid Sarker

Google Scholar ID: i1SmuwYAAAAJ
Graduate Research Assistant, Southern Illinois University
Computer VisionDeep LearningPattern RecognitionAI for Social Good
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Citations & Impact
All-time
Citations
38
 
H-index
3
 
i10-index
2
 
Publications
11
 
Co-authors
3
list available
Contact
Emailtoqitahamid.sarker@siu.eduCVOpen ↗TwitterOpen ↗GitHubOpen ↗LinkedInOpen ↗
Publications
6 items
FUME: Fused Unified Multi-Gas Emission Network for Livestock Rumen Acidosis Detection
2026
Cited
0
WeedRepFormer: Reparameterizable Vision Transformers for Real-Time Waterhemp Segmentation and Gender Classification
arXiv.org · 2026
Cited
0
WeedSense: Multi-Task Learning for Weed Segmentation, Height Estimation, and Growth Stage Classification
2025
Cited
0
GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging
2025
Cited
0
CarboNeXT and CarboFormer: Dual Semantic Segmentation Architectures for Detecting and Quantifying Carbon Dioxide Emissions Using Optical Gas Imaging
arXiv.org · 2025
Cited
0
WeedVision: Multi-Stage Growth and Classification of Weeds using DETR and RetinaNet for Precision Agriculture
2025
Cited
0
Resume (English only)
Academic Achievements
  • - Publications:
  • - GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging, ICCV Workshop, 2025 (Oral Presentation, Best Paper Nomination)
  • - WeedSense: Multi-Task Learning for Weed Segmentation, Height Estimation, and Growth Stage Classification, ICCV Workshop, 2025 (Oral Presentation)
  • - SoyStageNet: Balancing Accuracy and Efficiency for Real-Time Soybean Growth Stage Detection, CVPR Workshop, 2025
  • - Optical gas imaging and deep learning for quantifying enteric methane emissions from rumen fermentation in vitro, IET Image Processing, 2025
  • - Gasformer: A Transformer-based Architecture for Segmenting Methane Emissions from Livestock in Optical Gas Imaging, CVPR Workshop, 2024 (Oral Presentation)
  • - Awards:
  • - Broadening Participation Travel Grant, ICCV 2025
  • - Doctoral Research Fellowship, SIU Carbondale, 2025-2026
  • - DEI Travel Grant, CVPR 2024
Research Experience
  • - Research Assistant, Southern Illinois University Carbondale, August 2022 to December 2022
  • - Research Assistant, Georgia State University, August 2018 to August 2019
  • - Software Engineer, Penguin Ecommerce, December 2017 to April 2022
Education
  • - Southern Illinois University Carbondale, Ph.D. in Computer Science, August 2023 to present, Advisor: Dr. Khaled Ahmed
  • - Georgia State University, Graduate in Computer Science, August 2018 to August 2019, Advisor: Dr. Juan Banda
  • - BRAC University, B.S. in Computer Science, December 2016
Background
  • A third-year Computer Science Ph.D. student specializing in computer vision and deep learning for agricultural applications. Working under Dr. Khaled Ahmed at the BASE Lab, developing AI systems for precision agriculture and environmental monitoring through USDA-funded research projects conducted in collaboration with SIU's School of Agricultural Sciences.
Miscellany
  • Open to Summer 2026 internships in AI/ML, Computer Vision, Deep Learning, Data Science, and Software Engineering.
Co-authors
3 total
Khaled R. Ahmed
Khaled R. Ahmed
Associate Professor, Computer Science Dept. at Southern Illinois University
Taminul Islam
Taminul Islam
Research Assistant, Southern Illinois University Carbondale
Juan M. Banda
Juan M. Banda
Stanford Health Care