Projects per year
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Collaborations and top research areas from the last five years
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HBKU-OVPR-FRG-03-1: AI-Enhanced Resilience for Data Centers in Arid Cities: Sustainable Cooling, Predictive Control, and Climate-Aware Cost Optimization
Beitelmal, A. H. (Principal Investigator), Chawla, S. (Principal Investigator), Fountoukis, C. (Principal Investigator), Bayhan, S. (Lead Principal Investigator), Aysan, A. F. (Principal Investigator), Shannak, S.A.-H. (Principal Investigator), Sezer, N. (Principal Investigator), Ghrayeb, A. (Principal Investigator), Abu-Rub, H.A.-A. F. (Co-Lead Principal Investigator), Bouhali, O. (Principal Investigator), Kamal, N. F. (Post Doctoral Fellow), Kameli, S. M. S. K. (Research Assistant), Karaki, A. (Principal Investigator) & Sharida, A. (Post Doctoral Fellow)
10/07/25 → 9/07/27
Project: Applied Research
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HBKU-OVPR-FRG-03-6: Integrated Aerial-Ground Intelligent Sensing and AI Platform for Resource-Efficient and Sustainable Agriculture in Qatar’s Arid Climate
Chawla, S. (Principal Investigator), Bermak, A. (Lead Principal Investigator), Wang, B. (Principal Investigator), Shannak, S.A.-H. (Principal Investigator), Baldacci, R. (Principal Investigator), Shoukath Ali, S. T. (Graduate Student), Haj Hmida, M. A. (Graduate Student) & Laiadi, O. (Post Doctoral Fellow)
10/07/25 → 9/07/27
Project: Applied Research
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EX-MOT-AI-2: Reliability of Large Language Models for Transportation Applications
Chawla, S. (Lead Principal Investigator) & Medina, J. G. D. (Research Associate)
1/05/25 → 30/04/27
Project: Experimental Development/Translation Research
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HBKU-OVPR-HHW-01-16: AI4Science
Chawla, S. (Lead Principal Investigator), Zekri, A. (Principal Investigator), Biswas, K. H. (Principal Investigator), Kurban, H. (Principal Investigator) & Bouhali, O. (Principal Investigator)
1/11/25 → 1/03/26
Project: Others
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HBKU-OVPR-HHW-01-6: 1st international Workshop on Biomimicry: Lessons from Nature for Sustainable Materials Design.
Aissa, B. (Principal Investigator), Chawla, S. (Principal Investigator), Bentria, E. T. (Lead Principal Investigator), Medina, J. G. D. (Principal Investigator) & Haboub, A. (Principal Investigator)
2/09/25 → 11/03/26
Project: Applied Research
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A Physics-Aware Framework for Short-Term GPU Power Forecasting of AI Data Centers
Saleh, M. A. S., Chawla, S., Bayhan, S., Abu-Rub, H. & Ghrayeb, A., 8 Aug 2026, Proceedings Of The 32nd Acm Sigkdd Conference On Knowledge Discovery And Data Mining V.2, Kdd 2026. Association for Computing Machinery, p. 4115-4126 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2-B).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models
Zhou, T., Medina, J. & Chawla, S., 14 Mar 2026, Proceedings of the AAAI Conference on Artificial Intelligence. Koenig, S., Jenkins, C. & Taylor, M. E. (eds.). 44 ed. Association for the Advancement of Artificial Intelligence, p. 38164-38172 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 40, no. 44).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
PREFINE: Preference-Based Implicit Reward and Cost Fine-Tuning for Safety Alignment
Verma, R., Kulur, B., Chawla, S. & Ravindran, B., 24 May 2026, 25th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2026. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 1004-1012 9 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 2).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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RIDGECUT: Learning Graph Partitioning with Rings and Wedges
Jiang, Q., Zangari, A., Pang, L., Gatti, A., Aggarwal, M., Vantini, G., Ma, X., Sun, W., Medya, S. & Chawla, S., 8 Aug 2026, Proceedings Of The 32nd Acm Sigkdd Conference On Knowledge Discovery And Data Mining V.2, Kdd 2026. Association for Computing Machinery, p. 2122-2131 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2-B).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
When Models Leave the Training Distribution: A Tutorial on OOD Detection
Seneviratne, S., Denipitiyage, D., Chawla, S. & Menon, A., 8 Aug 2026, KDD 2026 - Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. Association for Computing Machinery, p. 13360-13364 5 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2-B).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access