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ORCIDTapas K. Das
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2020 – today
- 2024
[i3]Diwas Paudel, Tapas K. Das:
Multi-agent Deep Reinforcement Learning for Dynamic Pricing by Fast-charging Electric Vehicle Hubs in ccompetition. CoRR abs/2401.15108 (2024)- [i2]Diwas Paudel, Luke Wolf, Tapas K. Das:
Joint operation of a fast-charging EV hub with a stand-alone independent battery storage system under fairness considerations. CoRR abs/2404.16113 (2024) - 2023
- [j9]Nicolas Bustos, Mehrsa Mashhadi, Susana K. Lai-Yuen
, Sudeep Sarkar, Tapas K. Das:
A systematic literature review on object detection using near infrared and thermal images. Neurocomputing 560: 126804 (2023) - [j8]Mohammad Noroozi, Hanieh Rastegar Moghaddam, Ankit Shah, Hadi Charkhgard, Sudeep Sarkar, Tapas K. Das, Timothy Pohland:
An AI-Assisted Systematic Literature Review of the Impact of Vehicle Automation on Energy Consumption. IEEE Trans. Intell. Veh. 8(6): 3572-3592 (2023) - [i1]Soumyadeep Hore, Jalal Ghadermazi, Diwas Paudel, Ankit Shah, Tapas K. Das, Nathaniel D. Bastian:
Deep PackGen: A Deep Reinforcement Learning Framework for Adversarial Network Packet Generation. CoRR abs/2305.11039 (2023) - 2022
- [j7]Sebastián González, Felipe Feijoo, Franco Basso, Vignesh Subramanian, Sriram Sankaranarayanan, Tapas K. Das:
Routing and Charging Facility Location for EVs Under Nodal Pricing of Electricity: A Bilevel Model Solved Using Special Ordered Set. IEEE Trans. Smart Grid 13(4): 3059-3068 (2022)
2010 – 2019
- 2018
- [j6]Hadi Charkhgard, Vignesh Subramanian, Walter Silva, Tapas K. Das:
An integer linear programming formulation for removing nodes in a network to minimize the spread of influenza virus infections. Discret. Optim. 30: 144-167 (2018) - 2015
- [j5]Mehrnaz Abdollahian, Tapas K. Das:
A MDP Model for Breast and Ovarian Cancer Intervention Strategies for BRCA1/2 Mutation Carriers. IEEE J. Biomed. Health Informatics 19(2): 720-727 (2015) - 2011
- [j4]Andrés Uribe-Sánchez, Alex Savachkin, Alfredo Santana, Diana Prieto-Santa, Tapas K. Das:
A predictive decision-aid methodology for dynamic mitigation of influenza pandemics. OR Spectr. 33(3): 751-786 (2011)
2000 – 2009
- 2007
- [j3]Rajesh Ganesan, Tapas K. Das, Kandethody M. Ramachandran:
A Multiresolution Analysis-Assisted Reinforcement Learning Approach to Run-by-Run Control. IEEE Trans Autom. Sci. Eng. 4(2): 182-193 (2007) - 2005
- [j2]Carlos D. Paternina-Arboleda, Tapas K. Das:
A multi-agent reinforcement learning approach to obtaining dynamic control policies for stochastic lot scheduling problem. Simul. Model. Pract. Theory 13(5): 389-406 (2005) - 2003
- [j1]Jaideep J. Rao, Kiran Kumar Ravulapati, Tapas K. Das:
A simulation-based approach to study stochastic inventory-planning games. Int. J. Syst. Sci. 34(12-13): 717-730 (2003)
1990 – 1999
- 1998
- [c4]Girish Chiruvolu, Tapas K. Das, Ravi Sankar, N. Ranganathan:
A scene-based generalized Markov chain model for VBR video traffic. ICC 1998: 554-558 - 1997
- [c3]Tapas K. Das, Gurminder Singh, Alex Mitchell, P. Senthil Kumar, Kevin McGee:
NetEffect: a network architecture for large-scale multi-user virtual worlds. VRST 1997: 157-163 - [c2]Tapas K. Das, Gurminder Singh, Alex Mitchell, P. Senthil Kumar, Kevin McGee:
Developing Social Virtual Worlds using NetEffect. WETICE 1997: 148-154 - 1996
- [c1]Gurminder Singh, Tapas K. Das:
Large scale multi-user virtual worlds. IFIP World Conference on IT Tools 1996: 155-162
Coauthor Index
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