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• PhD - CSE from VNIT, Nagpur (2023)
• M. Tech – CSE from NIT Goa (2017)
• B. Tech – IT from COEP, Pune (2015)

January 4, 2023 to till date - Adjunct Assistant Professor, CSE, IIIT Nagpur

• Data Mining
• Data Structures
• Operating System
• Application Programming
• Python, Android

Area of Research

• Smart grid
• Optimization
• Data Mining

• Amit Shewale, Anil Mokhade, et al.  “An Overview of Demand Response in Smart Grid and Optimization Techniques for Efficient Residential Appliance Scheduling Problem”, Energies, MDPI, 13(16), 2020. (SCIE Indexed; Impact factor: 2.702)
• Amit Shewale, Anil Mokhade, et al. “A Survey of Efficient Demand-Side Management Techniques for the Residential Appliance Scheduling Problem in Smart Homes”, Energies, MDPI, 15(8), 2022. (SCIE Indexed; Impact factor: 3.004
• Amit Shewale, Anil Mokhade, et al. “Efficient Techniques for Residential Appliances Scheduling in Smart Homes for Energy Management using Multiple Knapsack Problem”, Arabian Journal for Science and Engineering, Springer, 2023. (SCIE Indexed; Impact factor: 2.9).
• Amit Shewale, Anil Mokhade, et al.  “An Efficient Residential Appliance Scheduling Model using Flower Pollination Algorithm for Cost Optimization”, Journal of Optimization Theory and Applications, Springer. (SCIE Indexed; Impact factor: 2.189) (Under Review)
• Amit Shewale, Anil Mokhade, et al. “An Efficient Appliance Scheduling in Smart Homes using Genetic Algorithm with Novel Crossover Operator”, Expert Systems, Wiley. (SCIE Indexed; Impact factor: 2.812) (Under Review)
• Amit Shewale, BN Keshavamurthy, et al. “An Efficient Approach for Privacy Preserving Distributed K-Means Clustering in Unsecured Environment,” Proceedings of the 5th ICACNI 2017, Goa.

• Member
• EdTech Collaboration