Mohit Tawarmalani
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Professor
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About
Professor Mohit Tawarmalani is a faculty member at Purdue University West Lafayette in the United States. His research interests encompass optimization techniques, including tree ensemble optimization, multilinear optimization, and mixed-integer nonlinear programming (MINLP). He has contributed to recent advancements in energy-efficient distillation configurations and sparse principal component analysis. His work also explores innovative frameworks for relaxing composite functions in nonlinear programming.
Recent Grants
Grant: Close
QUANTIFYING PROBABILITIES USING OPTIMIZATION TECHNIQUES
Open Date: 2022-01-15
Close Date: 2025-01-14
Grant: Close
CNS Core: Small: Designing Networks for Stringent Performance Requirements
Open Date: 2019-10-01
Close Date: 2023-09-30
Grant: Close
Collaborative Research: Novel Relaxations for Cardinality-constrained Optimization Problems with Applications in Network Interdiction and Data Analysis
Open Date: 2017-08-01
Close Date: 2022-07-31
Grant: Close
Collaborative Research: Novel Tighter Relaxations for Complementarity Constraints with Applications to Nonlinear and Bilevel Programming
Open Date: 2012-09-01
Close Date: 2016-08-31
Grant: Close
CSR: Medium: Collaborative Research: Architecting Performance Sensitive Applications for the Cloud
Open Date: 2012-08-15
Close Date: 2017-07-31
Articles (7)
Year:
2024
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2024
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2024
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2022
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2022
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2022
Year:
2021
Collaborators (2)
Jean-Philippe Richard
Professor
University of Minnesota
Jinhak Kim
Assistant Professor
Northern Illinois University
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