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个人简介
I am primarily interested in distributed algorithms for solving optimization problems. Much of my past work has focused on problems from the biological sciences, including linkage analysis problems from statistical genetics, and protein structure prediction techniques. I have also worked on parallel search algorithms such as A*, αβ-minimax, Davis-Loveland-Putnam, and applications of these algorithms to both standard AI problems and economic problems such as combinatorial auction winner determination.
More recently, I have been interested in solving optimization problems in computational epidemiology, such as optimal location placement for sentinel surveillance, optimal vaccination strategies, and so on.
More recently, I have been interested in solving optimization problems in computational epidemiology, such as optimal location placement for sentinel surveillance, optimal vaccination strategies, and so on.
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Pratik Maitra, Masahiro Kiji,Talal Riaz,Philip M. Polgreen,Alberto M. Segre,Sriram V. Pemmaraju,Bijaya Adhikari
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES: APPLIED DATA SCIENCE AND DEMO TRACK, ECML PKDD 2023, PT VII (2023): 315-319
Aaron C Miller,Alan T Arakkal,Daniel K Sewell,Alberto M Segre,Joseph Tholany,Philip M Polgreen, CDC MInD-Healthcare Group
Open forum infectious diseasesno. 8 (2023): ofad413-ofad413
JOURNAL OF HIGHER EDUCATIONpp.1-22, (2023)
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PROCEEDINGS OF THE 32ND ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2023pp.4538-4544, (2023)
2022 IEEE 10th International Conference on Healthcare Informatics (ICHI)pp.182-191, (2022)
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022)
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