Projects per year
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Dive into the research topics where Sanjay Chawla is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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QCRI-CORE-000012: FANAR Safety and Alignment
Sencar, H. T. (Lead Principal Investigator), Chawla, S. (Principal Investigator), Messaoud, S. (Principal Investigator) & Altinisik, E. (Engineer)
1/11/23 → 30/11/25
Project: Applied Research
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QCRI-CORE-000005: Small Object Detection with Computer Vision
Chawla, S. (Lead Principal Investigator), Sadeghi, M. A. (Principal Investigator) & Margineantu, D. (Technical Advisor)
1/01/22 → 30/06/25
Project: Applied Research
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QCRI-CORE-000004: Advanced Machine Learning Methods
Sadeghi, M. A. (Lead Principal Investigator), Messaoud, S. (Principal Investigator) & Chawla, S. (Principal Investigator)
1/07/23 → 30/06/24
Project: Applied Research
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EX-QNRF-NPRPC-9: A Secure End-to-End Blockchain-Based Solution to Finance Trade: The Legal, Technological, and Economic Framework
Chawla, S. (Lead Principal Investigator) & Altinisik, E. (Research Assistant)
26/01/20 → 31/01/25
Project: Applied Research
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ExCeL: Combined Extreme and Collective Logit Information for Out-of-Distribution Detection
Karunanayake, N., Seneviratne, S. & Chawla, S., 2025, In: Transactions on Machine Learning Research. 2025Research output: Contribution to journal › Article › peer-review
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Leveraging Large Language Models for Supply Chain Management Optimization: A Case Study
Rahman, S. A., Chawla, S., Yaqot, M. & Menezes, B., 2025, Innovative Intelligent Industrial Production and Logistics - 5th International Conference, IN4PL 2024, Proceedings. Dassisti, M., Madani, K. & Panetto, H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 175-197 23 p. (Communications in Computer and Information Science; vol. 2373 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Data-driven discovery of Tsallis-like distribution using symbolic regression in high-energy physics
Makke, N. & Chawla, S., 21 Nov 2024, In: PNAS Nexus. 3, 11, 11 p., pgae467.Research output: Contribution to journal › Article › peer-review
Open Access -
Interpretable scientific discovery with symbolic regression: a review
Makke, N. & Chawla, S., Jan 2024, In: Artificial Intelligence Review. 57, 1, 38 p., 2.Research output: Contribution to journal › Article › peer-review
45 Citations (Scopus) -
Mobility Data Science: Perspectives and Challenges
Mokbel, M., Sakr, M., Xiong, L., Züfle, A., Almeida, J., Anderson, T., Aref, W., Andrienko, G., Andrienko, N., Cao, Y., Chawla, S., Cheng, R., Chrysanthis, P., Fei, X., Ghinita, G., Graser, A., Gunopulos, D., Jensen, C. S., Kim, J. S. & Kim, K. S. & 28 others, , 1 Jul 2024, In: ACM Transactions on Spatial Algorithms and Systems. 10, 2, 10.Research output: Contribution to journal › Article › peer-review
Open Access10 Citations (Scopus)