Director¶
About
Before joining Southern Illinois University Carbondale, Dr. Khaled Mohammed Saifuddin served as a Postdoctoral Research Associate at the Barabási Lab under Albert-László Barabási and earned his Ph.D. in Computer Science from Georgia State University under Dr. Esra Akbas. His research has been published in top venues such as ICDE, CIKM, ECML PKDD, DSAA, ACM BCB, IJCNN, PRICAI, IEEE BigData and KDD workshops and presented at the Stanford Graph Learning Workshop. He has held leadership roles as Area Chair for AI4Science–ICML and NeurIPS. He is the recipient of several awards, including the Outstanding Poster Presentation Award at the Machine Learning in Drug Discovery Symposium 2023 at the Broad Institute of MIT & Harvard, the Dell–Intel Student Award, and the Fraser Travel Award.
Before joining Southern Illinois University Carbondale, Dr. Khaled Mohammed Saifuddin served as a Postdoctoral Research Associate at the Barabási Lab under Albert-László Barabási and earned his Ph.D. in Computer Science from Georgia State University under Dr. Esra Akbas. His research has been published in top venues such as ICDE, CIKM, ECML PKDD, DSAA, ACM BCB, IJCNN, PRICAI, IEEE BigData and KDD workshops and presented at the Stanford Graph Learning Workshop. He has held leadership roles as Area Chair for AI4Science–ICML and NeurIPS. He is the recipient of several awards, including the Outstanding Poster Presentation Award at the Machine Learning in Drug Discovery Symposium 2023 at the Broad Institute of MIT & Harvard, the Dell–Intel Student Award, and the Fraser Travel Award.
📢 Updates
- "Fragmentation-Based Hypergraph Attention Network for Molecular Classification Tasks" accepted @ Complex Networks'25 🎉 Congratulations Jenifer and Anh for your very first paper!
- HyperGCL accepted @ IJCNN'25.
- THTN accepted at Stanford Graph Learning Workshop '24 (Link) and PRICAI 2025.
- Papers accepted @ DSAA, ECML PKDD and IEEE/ACM Transactions on Computational Biology and Bioinformatics.
- Proud to have received the Outstanding Poster Presentation Award at Machine Learning in Drug Discovery Symposium '23 by the Broad Institute of MIT & Harvard. Detailed News →
🔬 Research Interests
- Graph Machine Learning, Graph GenAI, Graph Mining, Network Science
- Bioinformatics, Network Medicine, Health Data Analytics
- Vision–Language Reasoning, Event Understanding, Social Network Analysis
💰 Research Grants & Funding
- New Faculty Startup Research Fund, Office of the Vice Chancellor for Research (VCR), Southern Illinois University Carbondale
🎓 Teaching
- CS437/528 Machine Learning and Soft Computing
- CS220 Programming with Data Structures
🤝 Collaboration
- MIT EECS
- Harvard Medical School, Harvard University
- School of Data Science and Analytics, Kennesaw State University
- School of Computing, University of Connecticut
- Yonsei University, South Korea
- Center for Health Science, Oklahoma State University
🛠 Services
- Area Chair: AI4Science–ICML 2024, AI4Science–NeurIPS 2023
- Reviewer: Nature Communications Biology, KDD 2025, IJCNN 2025, KDD 2024, TGL–NeurIPS 2023, TGL–ICML 2023, EPJ Data Science 2024, WWW 2024
- Proceedings Chair: SNAS Interdisciplinary Research Conference, 2025
- Collaborator & Mentor: NSF-funded REU summer research program, GSU 2024
🏆 Media Coverage & Awards
- Outstanding Poster Presentation Award at Machine Learning in Drug Discovery Symposium '23 — Broad Institute of MIT & Harvard
- 1st Place Dell–Intel Student Award for Outstanding Use of Data Science and Computing
- Fraser Travel Award Winners '23, Department of CS, GSU
- Best Poster Presentation, CS Demo Day, Georgia State University
- Outstanding Research Award, CS, Oklahoma State University
- Women's Faculty Council Student Research Award, Oklahoma State University
- NSF Travel Awards — CIKM '22 and ICDE '23