Malik Magdon-Ismail

Computer Science

About

Dr. Magdon-Ismail has been a Professor of Computer Science since 2000. After degrees at Yale and Caltech, Dr. Magdon-Ismail was a research scholar at Caltech before joining Rensselaer as Assistant Professor of Computer Science. His interests are in decision making from data in complex systems, including machine learning, computational finance and social and communication networks. He enjoys poker, bridge, squash, tennis and badminton. For a full bio and more details, please visit his web page.

Other affililations: Information Technology and Web Science

Research

Other Focus Areas

Learning from Data; theory and applications., Computational Finance, Social and Communication Networks; Hidden Groups., Inference and Search on Volunteer Computing Platforms, Collective Wisdom in Multi-agent Systems; Prediction Markets.

Publications

The following is a selection of recent publications in Scopus. Malik Magdon-Ismail has 179 indexed publications in the subjects of Computer Science, Mathematics, Engineering.

Efficient parameter inference in networked dynamical systems via steady states: A surrogate objective function approach integrating mean-field and nonlinear least squares
Yanna Ding, Jianxi Gao, Malik Magdon-Ismail
Physical Review E
, 109
, 2024
.
Eureka: A General Framework for Black-box Differential Privacy Estimators
Yun Lu, Malik Magdon-Ismail, Yu Wei, Vassilis Zikas
Proceedings - IEEE Symposium on Security and Privacy
, 2024
, pp.913-931
.
HMM-Boost: Improved Time Series State Prediction Via Supervised Hidden Markov Models: Case Studies in Epileptic Seizure and Complex Care Management
Georgios Mavroudeas, Malik Magdon-Ismail, Xiao Shou, Kristin P. Bennett
Proceedings - 13th IEEE International Conference on Knowledge Graph, ICKG 2022
, 2022
, pp.180-187
.
HMM-Boost: Improved Time Series State Prediction Via Supervised Hidden Markov Models: Case Studies in Epileptic Seizure and Complex Care Management
Georgios Mavroudeas, Malik Magdon-Ismail, Xiao Shou, Kristin P. Bennett
IEEE International Conference on Data Mining Workshops, ICDMW
, 2022-November
, 2022
, pp.316-323
.
Subpopulation Analysis in Causal Inference: A Healthcare Case Study
Georgios Mavroudeas, Nafis Neehal, Jason Kuruzovich, Kristin P. Bennett, Malik Magdon-Ismail
Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022
, 2022
, pp.1673-1676
.
FairMM: A Fast and Frontrunning-Resistant Crypto Market-Maker
Michele Ciampi, Muhammad Ishaq, Malik Magdon-Ismail, Rafail Ostrovsky, Vassilis Zikas
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
, 13301 LNCS
, 2022
, pp.428-446
.
Predictive Modeling for Complex Care Management
Georgios Mavroudeas, Nafis Neehal, Xiao Shou, Malik Magdon-Ismail, Jason N. Kuruzovich, Kristin P. Bennett
Proceedings - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021
, 2021
, pp.1443-1448
.
Learning GraphQL Query Cost
Georgios Mavroudeas, Guillaume Baudart, Alan Cha, Martin Hirzel, Jim A. Laredo, Malik Magdon-Ismail, Louis Mandel, Erik Wittern
Proceedings - 2021 36th IEEE/ACM International Conference on Automated Software Engineering, ASE 2021
, 2021
, pp.1146-1150
.
NoisyCUR: An Algorithm for Two-Cost Budgeted Matrix Completion
Dong Hu, Alex Gittens, Malik Magdon-Ismail
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
, 12457 LNAI
, 2021
, pp.746-761
.
Training deep neural networks with constrained learning parameters
Prasanna Date, Christopher D. Carothers, John E. Mitchell, James A. Hendler, Malik Magdon-Ismail
Proceedings - 2020 International Conference on Rebooting Computing, ICRC 2020
, 2020
, pp.107-115
.

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