Ilias Bilionis
Professor of Mechanical Engineering
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About
Dr. Ilias Bilionis is an Associate Professor at Purdue University in the United States. His research interests encompass complex concentrated alloys, machine learning applications in physics, and Bayesian methods for data analysis in dynamical systems. He has published recent articles on topics such as high-hardness alloys, uncertainty quantification in modeling physical systems, and eco-feedback interventions in energy conservation. Dr. Bilionis's work integrates experimental data with advanced computational techniques to address challenges in materials science and energy management.
Recent Grants
Grant: Close
CPS: Medium: A meta-learning approach to enable autonomous buildings
Open Date: 2021-07-01
Close Date: 2024-06-30
Grant: Close
DMREF: Discovery of high-temperature, oxidation-resistant, complex, concentrated alloys via data science driven multi-resolution experiments and simulations
Open Date: 2019-10-01
Close Date: 2023-09-30
Grant: Close
Workshop and Grantees Meeting: Positioning Engineering Design and Systems Engineering Research for Sustained Societal Impact; West Lafayette, Indiana; October 7-8, 2019
Open Date: 2019-08-01
Close Date: 2021-07-31
Grant: Close
AMPS: Collaborative Research: Efficient Algorithms for Ultra-Fast Detection of Power System Contingencies in the Transient Regime
Open Date: 2018-08-15
Close Date: 2022-07-31
Grant: Close
SCC-IRG Track 1: Sociotechnical Systems to Enable Smart and Connected Energy-Aware Residential Communities
Open Date: 2018-01-01
Close Date: 2022-12-31
Articles (15)
Year:
2025
Collaborators (7)
Xiaoxu Zhong
Stanford University
Sayantan Bhattacharya
Assistant Professor
University of Maryland Baltimore County
Panagiota Karava
Purdue University
Shirley Dyke
Professor
Purdue University
Torsten Reimer
Professor
Purdue University
Jongseong Choi
Assistant Professor
State University of New York, Korea
Tatiana Ringenberg
Assistant Professor at Purdue University
Purdue University

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