Abhijit Gosavi
Affiliations: | Industrial Engineering | State University of New York, Buffalo, Buffalo, NY, United States |
Area:
Industrial EngineeringGoogle:
"Abhijit Gosavi"Children
Sign in to add trainee| Aykut F. Kahraman | grad student | 2006 | SUNY Buffalo |
| Zheng Sui | grad student | 2007 | SUNY Buffalo |
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Publications
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| Gosavi A, Fraioli G, Sneed LH, et al. (2020) Discrete-Event-Based Simulation Model for Performance Evaluation of Post-Earthquake Restoration in a Smart City Ieee Transactions On Engineering Management. 67: 582-592 |
| Subramanian V, Das TK, Kwon C, et al. (2019) A data-driven methodology for dynamic pricing and demand response in electric power networks Electric Power Systems Research. 174: 105869 |
| Lawhead RJ, Gosavi A. (2019) A bounded actor–critic reinforcement learning algorithm applied to airline revenue management Engineering Applications of Artificial Intelligence. 82: 252-262 |
| Ghosh S, Gosavi A. (2017) A semi-Markov model for post-earthquake emergency response in a smart city Control Theory and Technology. 15: 13-25 |
| Gosavi A, Cudney EA, Murray SL, et al. (2016) Analysis of Clinic Layouts and Patient-Centered Procedural Innovations Using Discrete-Event Simulation Engineering Management Journal. 28: 134-144 |
| Gosavi A, Parulekar A. (2016) Solving Markov decision processes with downside risk adjustment International Journal of Automation and Computing. 13: 235-245 |
| Gosavi A, Agarwal S, Dagli CH. (2015) Predicting Response of Risk-Seeking Systems During Project Negotiations in a System of Systems Ieee Systems Journal |
| Gosavi A. (2015) Analyzing Responses from Likert Surveys and Risk-adjusted Ranking: A Data Analytics Perspective Procedia Computer Science. 61: 24-31 |
| Agarwal S, Pape LE, Dagli CH, et al. (2015) Flexible and intelligent learning architectures for SoS (FILA-SoS): Architectural evolution in systems-of-systems Procedia Computer Science. 44: 76-85 |
| Gosavi A. (2015) Solving Markov decision processes via simulation International Series in Operations Research and Management Science. 216: 341-379 |