Research output per year
Research output per year
Personal profile
Research Interests
Dr. Umrawal is broadly interested in artificial intelligence, machine learning, approximation algorithms, optimization, causal inference, and network science with applications to social networks and intelligent transportation. His research has been published at venues like AAAI, UAI, ALT, ICAPS, CDC, CLeaR, VLDB, CIKM, SIGMETRICS, IMPS, IEEE Transactions, and ACM Transactions.
Education/Academic qualification
Industrial Engineering, Ph.D., Machine Learning Algorithms for Influence Maximization on Social Networks, Purdue University
Award Date: Aug 6 2023
Economics, MS, Purdue University
Award Date: May 31 2021
Statistics, MS, Indian Institute of Technology Kanpur
Award Date: May 28 2011
Fingerprint
Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
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Collaborations and top research areas from the last five years
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CyNetDiff: A Python Library for Accelerated Implementation of Network Diffusion Models
Robson, E. W., Reddy, D. & Umrawal, A. K., 2024, In: Proceedings of the VLDB Endowment. 17, 12, p. 4409-4412 4 p.Research output: Contribution to journal › Conference article › peer-review
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Fractional Budget Allocation for Influence Maximization under General Marketing Strategies
Bhimaraju, A., Robson, E. W., Varshney, L. R. & Umrawal, A. K., Oct 21 2024, CIKM 2024 - Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 3627-3631 5 p. (International Conference on Information and Knowledge Management, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
A Community-Aware Framework for Social Influence Maximization
Umrawal, A. K., Quinn, C. J. & Aggarwal, V., Aug 1 2023, In: IEEE Transactions on Emerging Topics in Computational Intelligence. 7, 4, p. 1253-1262 10 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A Genetic Algorithm-Based Framework for Learning Statistical Power Manifold
Umrawal, A. K., Lane, S. P. & Hennes, E. P., 2023, Quantitative Psychology - The 87th Annual Meeting of the Psychometric Society, 2022. Wiberg, M., Molenaar, D., González, J., Kim, J.-S. & Hwang, H. (eds.). Springer, p. 187-196 10 p. (Springer Proceedings in Mathematics and Statistics; vol. 422).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Fractional Budget Allocation for Influence Maximization
Umrawal, A. K., Aggarwal, V. & Quinn, C. J., 2023, 2023 62nd IEEE Conference on Decision and Control, CDC 2023. Institute of Electrical and Electronics Engineers Inc., p. 4327-4332 6 p. (Proceedings of the IEEE Conference on Decision and Control).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution