BASE: Bridging AI, Systems, and Environment
Advancing AI frontiers through innovative research in agriculture and beyond
Conference Presentation at CVPR 2026 in Denver, CO
PhD student Taminul Islam presented 'TRACE: Thermal Recognition Attentive-Framework for CO2 Emissions from Livestock' at the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026 in Denver, CO.
Research Focus
Computer Vision
Developing advanced techniques for visual data interpretation, including object detection, recognition, and image processing, to enhance automated visual understanding in diverse applications.
Deep Learning
Designing and optimizing state-of-the-art neural network architectures and algorithms to address complex problems across various domains, with a focus on improving performance and scalability.
AI for Agriculture
Applying artificial intelligence to agricultural challenges such as precision livestock management, crop health monitoring, and yield prediction, aiming to improve efficiency and sustainability in agriculture.
Federated Learning
Creating robust federated learning frameworks to handle non-iid data and resource constraints, ensuring effective and secure distributed learning across heterogeneous environments.
Recent Publications
Mask-Guided Multi-Task Learning: Real-Time RGB Prediction of Plant Photosynthetic Efficiency at the Edge
International Conference on Pattern Recognition (ICPR), 2026
Abdellah Lakhssassi, Taminul Islam, Cristiana Bernardi Rankrape, Naoufal Lakhssassi, Karla Gage, Khaled R. Ahmed
WeedRepFormer: Reparameterizable Vision Transformers for Real-Time Waterhemp Segmentation and Gender Classification
International Conference on Pattern Recognition (ICPR), 2026
Toqi Tahamid Sarker, Taminul Islam, Abdellah Lakhssassi, Cristiana Bernardi Rankrape, Kaitlin E. Creager, Karla Gage, Khaled R. Ahmed
TRACE: Thermal Recognition Attentive-Framework for CO2 Emissions from Livestock
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
Taminul Islam, Abdellah Lakhssassi, Toqi Tahamid Sarker, Mohamed Embaby, Khaled R. Ahmed, Amer AbuGhazaleh
Latest News
Two Papers Presented at CVPR 2026 in Denver, CO
June 2026
PhD student Taminul Islam presented two of our papers at the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026 in Denver, CO. He presented 'TRACE: Thermal Recognition Attentive-Framework for CO2 Emissions from Livestock' and 'FryNet: Dual-Stream Adversarial Fusion for Non-Destructive Frying Oil Oxidation Assessment'. Congratulations to the team!
Two Papers Accepted at ICPR 2026
June 2026
We are pleased to announce that two of our papers have been accepted at the International Conference on Pattern Recognition (ICPR) 2026: 'Mask-Guided Multi-Task Learning: Real-Time RGB Prediction of Plant Photosynthetic Efficiency at the Edge' and 'WeedRepFormer: Reparameterizable Vision Transformers for Real-Time Waterhemp Segmentation and Gender Classification'. Congratulations to the team!
Fellowships Awarded for 2026-2027
May 2026
Congratulations to our team members on their awards from the SIU Graduate School for the 2026-2027 full academic year. PhD students Taminul Islam and Abdellah Lakhssassi received the Doctoral Research Fellowship, and PhD student Toqi Tahamid Sarker received the Dissertation Research Assistantship award.
Two Papers Accepted at CVPR 2026
April 2026
We are thrilled to announce that two of our papers have been accepted at the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026 workshops: 'TRACE: Thermal Recognition Attentive-Framework for CO2 Emissions from Livestock' and 'FryNet: Dual-Stream Adversarial Fusion for Non-Destructive Frying Oil Oxidation Assessment'. Congratulations to the team!
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PhD Students
Conduct cutting-edge research in AI and Computer Vision.
Masters Students
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