Khaled R. Ahmed

Graduate Program Director, Associate Professor, Computer Science, Southern Illinois University Carbondale

Khaled R. Ahmed

Engineering A 307C

Computer Science

Carbondale, IL 62901

Khaled Ahmed is currently an associate professor and graduate program director in the School of Computing at Southern Illinois University. He was an associate professor in the department of computer science, College of Computer and Information Technology at King Faisal University. Moreover, he was a postdoctoral researcher at University of Tokyo, Japan.

He has over 19 years of experience in Academia, Research and Industry. His research background in Software Engineering, Distributed Systems, Parallel Computing, Machine Learning, Computer Vision and Intelligent Transport systems. Dr. Ahmed's prolific publication record, including 69 articles in journals and proceedings and edited four books in Peer-to-peer, Wireless sensor network and advances in Big data, blockchain and Deep Learning. He acted as PI and Co-PI in about 11 funded research projects. Currently he is a PI and Co-PI of three federal/state research funds.

His current research focus in the areas of Computer vision, Deep learning, Big data, real-time video analysis for safety applications.

Research Interests

  • Computer Vision
  • Deep Learning
  • Big Data
  • Software Engineering
  • Parallel and Distributed Computing

news

Feb 01, 2026Journal Article Accepted: DELTA-SoyStage in Sensors (Q1)Our journal article "DELTA-SoyStage: A Lightweight Detection Architecture for Full-Cycle Soybean Growth Stage Monitoring" has been accepted by Sensors (MDPI), a Q1 journal with Impact Factor 3.5. Authored by Abdellah Lakhssassi, Yasser Salhi, Naoufal Lakhssassi, Khalid Meksem, and Khaled R. Ahmed. Congratulations to the team!
Jan 15, 2026Highly Cited Paper 2024-2025: Detection and Classification of Cannabis SeedsOur 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.
Jan 10, 2026Paper Accepted at WACV 2026Our paper "FUME: Fused Unified Multi-Gas Emission Network for Livestock Rumen Acidosis Detection" has been accepted (oral) to the HARVEST-Vision @ WACV 2026.
Jan 01, 2026Research Grant: Smartphone-Based Chlorophyll Monitoring SystemAwarded a research grant from the Soybean Center at Southern Illinois University Carbondale for $15,000 for "Smartphone-Based Chlorophyll Monitoring System Using AI Models for Precision Stress Management in Soybeans". Period of performance: January 01, 2026 to December 31, 2026.
Oct 15, 2025Conference Paper Accepted at IEEE Big Data 2025: ArmFormerOur 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!

selected publications

  1. Sci. Reports
    WeedSwin Transformer with SAM-2: A Multi-Stage Weed Detection and Classification Framework
    Taminul Islam, Toqi Tahamid Sarker, Khaled R Ahmed, Cristiana B. R., Karla Gage
    Scientific Reports, Nature, 2025
    DOI
  2. IEEE Trans.
    Carbon Emission Quantification of Machine Learning: A Review
    S. M. Hasan, T. Islam, M. Saifuzzaman, Khaled R Ahmed, C.-H. Huang, A. R. Shahid
    IEEE Transactions on Sustainable Computing, 2025
    DOI
  3. IET Image
    Optical gas imaging and deep learning for quantifying enteric methane emissions from rumen fermentation in vitro
    Mohamed G. Embaby, Toqi Tahamid Sarker, Amer AbuGhazaleh, Khaled R Ahmed
    IET Image Processing, 19(1), 2025
    DOI
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