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Prasoon Patidar
Prasoon Patidar
Graduate Research Assistant, Carnegie Mellon University
Adresse e-mail validée de cmu.edu - Page d'accueil
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Multi-purchase behavior: Modeling and optimization
T Tulabandhula, D Sinha, P Patidar
arXiv preprint arXiv:2006.08055, 2020
212020
Self-Serviced IoT: Practical and Private IoT Computation Offloading with Full User Control
D Kim, P Patidar, H Zhang, A Anilkumar, Y Agarwal
arXiv preprint arXiv:2205.04405, 2022
32022
Multi-purchase behavior: Modeling, estimation, and optimization
T Tulabandhula, D Sinha, SR Karra, P Patidar
Manufacturing & Service Operations Management, 2023
22023
Recommendations under multi-product purchase behavior
T Tulabandhula, D Sinha, P Patidar
Companion Proceedings of the Web Conference 2020, 94-95, 2020
12020
VAX: Using Existing Video and Audio-based Activity Recognition Models to Bootstrap Privacy-Sensitive Sensors
P Patidar, M Goel, Y Agarwal
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2023
2023
TAO: Context Detection from Daily Activity Patterns Using Temporal Analysis and Ontology
S Boovaraghavan, P Patidar, Y Agarwal
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2023
2023
" An Instructor is [already] able to keep track of 30 students": Students’ Perceptions of Smart Classrooms for Improving Teaching & Their Emergent Understandings of Teaching …
TJ Ngoon, D Kovalev, P Patidar, C Harrison, Y Agarwal, J Zimmerman, ...
2023
Professional Informatics: Personalized, Data-Driven Professional Development
TJ NGOON, P PATIDAR, AMY OGAN, C HARRISON, Y AGARWAL
2022
Optimizing Adaptation of Smart Traffic Lights with Resource Constraints
P Patidar, GB Dobson, KM Carley, Y Agarwal
2021 IEEE 7th World Forum on Internet of Things (WF-IoT), 211-216, 2021
2021
Privacy-preserving Incentive Mechanisms for Resource Sharing in IoT Markets
P Patidar, J Xing
2021
Network flow Optimization through Monte Carlo Simulation
S Hande, P Patidar, S Meena, S Banerjee
2018 Fifth International Conference on Parallel, Distributed and Grid …, 2018
2018
DOPE-ML: DESIGNING OPERATIONAL POLICIES FOR ML ENVIRONMENTS
P Patidar, S Boovaraghavan, B Marimuthu
Optimized Recommendations when Customers Select Multiple Products
P Patidar, D Sinha, T Tulabandhula
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