BASE: Bridging AI, Systems, and Environment
Advancing AI frontiers through innovative research in agriculture and beyond
Highly Cited Paper 2024-2025: Detection and Classification of Cannabis Seeds
Our article 'Detection and Classification of Cannabis Seeds Using RetinaNet and Faster R-CNN' published in Seeds (MDPI) has been recognized as a Highly Cited Paper for 2024-2025.
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
FUME: Fused Unified Multi-Gas Emission Network for Livestock Rumen Acidosis Detection
arXiv preprint arXiv:2601.08205, 2026
Taminul Islam, Toqi Tahamid Sarker, Mohamed Embaby, Khaled R. Ahmed, Amer AbuGhazaleh
Evaluating Open-Source Transformer Models for Unsupervised Sentiment Analysis in Medical Dialogue Datasets
19th International Conference on Health Informatics (HEALTHINF), 2026
J. Kalinzi, J. Adinkrah, K. Ahmed, R. Selinfreund
Latest News
Highly Cited Paper 2024-2025: Detection and Classification of Cannabis Seeds
January 2026
Our article 'Detection and Classification of Cannabis Seeds Using RetinaNet and Faster R-CNN' published in Seeds (MDPI) has been recognized as a Highly Cited Paper for 2024-2025. Authored by Taminul Islam, Toqi Tahamid Sarker, Khaled R Ahmed, and Naoufal Lakhssassi.
Paper Accepted at WACV 2026
January 2026
Our paper "FUME: Fused Unified Multi-Gas Emission Network for Livestock Rumen Acidosis Detection" has been accepted (oral) to the HARVEST-Vision @ WACV 2026.
Smartphone-Based Chlorophyll Monitoring System Using AI Models for Precision Stress Management in Soybeans
January 2026
Awarded a research grant from the Soybean Center at Southern Illinois University Carbondale for $15,000. Period of performance: January 01, 2026 to December 31, 2026.
Conference Paper Accepted at IEEE Big Data 2025: ArmFormer
October 2025
We are pleased to announce that our conference paper 'ArmFormer: Lightweight Transformer Architecture for Real-Time MultiClass Weapon Segmentation and Classification' has been accepted at IEEE Big Data 2025. Congratulations to the team!
Join Our Lab
Interested in pushing the boundaries of AI? We are always looking for talented individuals to join our team.
PhD Students
Conduct cutting-edge research in AI and Computer Vision.
Masters Students
Gain hands-on experience in advanced AI projects.
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