BASE: Bridging AI, Systems, and Environment
Advancing AI frontiers through innovative research in agriculture and beyond
WeedSense Poster Presentation at ICCV 2025
PhD student Toqi Tahamid Sarker presented WeedSense at the 10th Computer Vision in Plant Phenotyping and Agriculture (CVPPA) workshop at ICCV 2025 in Honolulu, Hawaii.
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
Quantum Parallel Processing Framework for Image Processing Applications
IEEE 16th International Symposium on Autonomous Decentralized Systems (ISADS), 2025
Juan Carlos Salcedo, Khaled R. Ahmed
WeedSense: Multi-Task Learning for Weed Segmentation, Height Estimation, and Growth Stage Classification
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025
Toqi Tahamid Sarker, Khaled R. Ahmed, Taminul Islam, Cristiana Bernardi Rankrape, Karla Gage
GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025
Toqi Tahamid Sarker, Mohamed Embaby, Taminul Islam, Amer AbuGhazaleh, Khaled R. Ahmed
Latest News
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!
Oral Presentations at ICCV 2025 Workshops in Honolulu, Hawaii
October 2025
PhD student Toqi Tahamid Sarker delivered oral presentations at two prestigious workshops during ICCV 2025. He presented at the 1st Sustainability with Earth Observation & AI (SEA) workshop and the 10th Computer Vision in Plant Phenotyping and Agriculture (CVPPA) workshop, showcasing our research on GasTwinFormer and WeedSense respectively.
Conference Paper Accepted at ISVC 2025: CarboFormer
September 2025
We are thrilled to announce that our conference paper 'CarboFormer: A Lightweight Semantic Segmentation Architecture for Efficient Carbon Dioxide Detection Using Optical Gas Imaging' has been accepted in ISVC 2025. Congratulations to the team!
Awarded at Illinois Young Innovator of the Year
September 2025
PhD Student Taminul Islam has been awarded 3rd place in the 2025 Illinois Young Innovator of the Year, among 16 selective talks by Falling Walls Lab Illinois.
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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