Taminul Islam (he/him)
Taminul Islam is a Doctoral Student in Computer Science at School of Computing, Southern Illinois University Carbondale, currently serving as a Research Assistant at the BASE: Bridging AI, Systems, and Environment Research lab under the supervision of Dr. Khaled R. Ahmed. His research focuses on developing innovative artificial intelligence and computer vision solutions for agriculture, environmental monitoring, and food safety applications. He specializes in advanced deep learning techniques including semantic segmentation, object detection, and tracking systems that address real-world challenges in precision agriculture and sustainable food production.
Internship Availability — Summer 2026
I am actively seeking internship opportunities for Summer 2026 in AI/ML/Computer Vision. I'm eager to contribute to cutting-edge projects that drive real-world impact. Interested in AI/ML/CV/DL/Data Science Intern positions.
Biography
My journey into research began during my second year of undergraduate studies, when I became deeply enthusiastic about academic research. Rather than following traditional paths, I decided to create my own research team from the beginning. Together, we tackled various machine learning projects, and I developed a systematic approach: after completing each project, I would convert our work into academic papers and publish them in international conferences. This was how I started my research journey, building a foundation that would shape my entire academic career.
Throughout this journey, I have had the privilege of collaborating with distinguished computer scientists from around the world, including Professor Azizur Rahman, Dr. Md Zobaer Hasan, Dr. Rejwan Bin Sulaiman, Dr. Inam Ullah Khan, and Prof. Mahbuba Begum. These collaborations have resulted in publications in high-impact venues including Scientific Reports (Nature), IEEE Transactions on Sustainable Computing, Smart Agricultural Technology, and leading international conferences.
My research portfolio focuses on developing advanced AI/ML/CV solutions that address critical challenges in agriculture, cybersecurity, and AI in medical science. In the medical domain, I have made significant contributions through innovative deep learning architectures for breast cancer classification and early-stage liver disease prediction. In the cybersecurity domain, I have worked on fake news/review detection, tweets analysis, and cyber attack prediction on sensors and perception systems in autonomous vehicles. Recently, after joining the BASE Lab, I began focusing on the agriculture domain, where I have made significant contributions to precision agriculture through innovative deep learning architectures including hierarchical vision transformers, semantic segmentation models, and multi-stage detection systems for crop monitoring and weed management. My recent work includes developing carbon emission quantification systems using optical gas imaging and creating sophisticated models for weed growth stage classification.
Beyond academics, I am passionate about sports and believe in the power of athletic pursuits to build character and leadership. During my undergrad, I achieved a Full Free Scholarship for my sports activities. I actively participate in cricket, soccer, badminton, pickleball, volleyball, and throwball. I served Bangladesh U-19 National Throwball Team (as Captain) in 2016 Asian Junior Championship (Malaysia Tour), and Bangladesh National Throwball Team in 2017 World Games (Nepal Tour). At SIU, I carried forward my sporting legacy—leading my teams to championship victories in Cricket (as Captain) and excelling in Badminton (Doubles) during both the Fall Games 2024 and Spring Games 2025.
Leadership has always been one of my core strengths, whether in sports or academic settings. I served as General Secretary of the Bangladesh Student Association (BSA) at SIUC during the 2024-2025 session, helping our organization achieve the Best RSO Award in 2025 from SIUC. Earlier, I was the Founding General Secretary and Trainer of the Dhaka Collegiate School Debating Club (DCSDC), where I participated in debate competitions alongside my team.
As an active member of the academic community, I have served in editorial capacities for Q1 journals, provided peer review for over 25 manuscripts, and mentored 20+ students in AI research. I maintain professional affiliations with ACM and continue to collaborate on cutting-edge research projects. Currently, as a doctoral researcher at Southern Illinois University Carbondale, I bridge computer science with agricultural and environmental sciences, conducting research at the BASE lab that leverages artificial intelligence for societal benefit.
Recent Publications
- Islam, Taminul, Toqi Tahamid Sarker, Khaled R. Ahmed, Cristiana Bernardi Rankrape, and Karla Gage. "WeedSwin hierarchical vision transformer with SAM-2 for multi-stage weed detection and classification." In Scientific Reports 15, no. 1 (2025): 23274.
- Islam, Taminul, Toqi Tahamid Sarker, Mohamed G Embaby, Khaled R Ahmed, and Amer AbuGhazaleh. "CarboNeXT and CarboFormer: Dual Semantic Segmentation Architectures for Detecting and Quantifying Carbon Dioxide Emissions Using Optical Gas Imaging." arXiv preprint arXiv:2506.05360 (2025).
- Syed Mhamudul Hasan, Islam, Taminul, Munshi Saifuzzaman, Khaled R. Ahmed, Chun-Hsi Huang, and Abdur R. Shahid. "Carbon Emission Quantification of Machine Learning: A Review." In IEEE Transactions on Sustainable Computing (2025): 1-19.
- Islam, Taminul, Toqi Tahamid Sarker, Khaled R. Ahmed, Cristiana Bernardi Rankrape, and Karla Gage. "WeedVision: Multi-Stage Growth and Classification of Weeds using DETR and RetinaNet for Precision Agriculture." In 2024 ICMLA, 2024: 1374-1381.
Education
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Doctor of Philosophy (PhD) in Computer Science, Spring 2024 - Present
Southern Illinois University, Carbondale, USA
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BSc in Computer Science and Engineering, Spring 2018 - Fall 2022
Daffodil International University, Bangladesh
News
| September 2025 | Honored to have been awarded Third Place 🥉 among 16 selected talks in the Falling Walls Lab Illinois competition in Springfield, IL, organized by the Illinois Innovation Network. LinkedIn Reference |
| July 2025 | Two papers have been accepted at ICCV 2025: "GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging", and "WeedSense: Multi-Task Learning for Weed Segmentation, Height Estimation, and Growth Stage Classification". |
| July 2025 | Our article "WeedSwin hierarchical vision transformer with SAM-2 for multi-stage weed detection and classification" has been published in Nature Scientific Reports. Full Text |
| June 2025 | Our collaborative work "Carbon Emission Quantification of Machine Learning: A Review" has been accepted for publication in IEEE Transactions on Sustainable Computing. Full Text |
| June 2025 | New preprint "CarboNeXT and CarboFormer: Dual Semantic Segmentation Architectures for Detecting and Quantifying Carbon Dioxide Emissions Using Optical Gas Imaging" available on arXiv. arXiv |
| June 2025 | Served as an Associate Editor for Frontiers in Medicine (Q1 journal) on a machine learning manuscript for carotid intima-media thickness progression prediction. LinkedIn Reference |
| May 2025 | Secured two CHAMPION trophies for Bangladesh in Cricket and Badminton at the International Spring Games 2025 at Southern Illinois University, Carbondale. Named Most Valuable Player (MVP) in the Badminton event. LinkedIn Reference |
| May 2025 | Presented collaborative research to the Department of Animal Science, SIUC with Toqi Tahamid Sarker and Mohamed Embaby, PhD. Research published in CVPR 2024 and IET Image Processing, bridging School of Computing and School of Agricultural Science. LinkedIn Reference |
| April 2025 | Served as General Secretary of the Bangladesh Student Association (BSA) during 2024-2025 session. BSA received the 'Best RSO Recognition Award' among 17 international RSOs at SIUC for achievements in sports, cultural programs, and food festivals. LinkedIn Reference |