Marquee Tag

Mr. Kunal Devidas Gaikwad

Assistant Professor
kunal.g@bvrit.ac.in

Ph.D.: Pursuing Ph.D, SRM University

PG: Computer Networks, Savitribai Phule Pune University, 2016

UG: Computer Science & Engineering, Solapur University, 2013

 

Teaching Experience:  05 years 09 months

Research Experience:  02 years 0 months

Industry Experience:   03 years 0 months

Contact Number: +91-9923986536

BVRITN Employee ID: BVRIT66-25

JNTUH Registration ID: 2250-231010-135316

AICTE Registration ID: 1-143753901544

  1. IOT and Cloud Computing
  2. Seamless Mobility in Heterogeneous Wireless Networks
  3. Artificial intelligence and Machine Learning
  • Orchid ID: 0009-0005-8532-0074
  • Vidwan ID: 571899, Indian research information system.
  • Web of Science ID: MGU-0386-2025
  • “From Sensors to Solutions: A Survey on IoT and Machine Learning in Modern Agriculture,” IEEE International Conference on Data Science, Agents, and Artificial Intelligence (ICDSAAI 2025), Chennai Institute of Technology, Chennai.​
  • “Intelligent Farming System: IoT and Adaptive Machine Learning for Sustainable Agriculture,” IEEE International Conference on Communication and Signal Processing, 2025.​
  • “Real-Time Financial Fraud Detection with Autonomous Graph Neural Networks,” ICMCTC2025, Kuala Lumpur, Malaysia.
  1. Kunal D Gaikwad, Harsha A Bhute, “A Survey on Vertical Handover Decision Making in Next Generation Heterogeneous Wireless Networks” International Journal of Research Studies in Science, Engineering and Technology Volume 1, Issue 7, October 2014, PP 55-64 ISSN 2349-4751 (Print) & ISSN 2349-476X (Online).
  2. Kunal D Gaikwad, Prof. Harsha A Bhute, Prof. J E Kamalasekaran, “Network Selection and seamless mobility in Heterogeneous Wireless Network Based on Type of User Preference”, International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-1, Issue-3, June- 2015], ISSN: 2454-1311
  3. Presented paper at National level at 4th CPGCON held at Nasik in 2015.
  4. “USING SENSOR NETWORKS AND NEURO-FUZZY LOAD BALANCING FOR GREEN IOT”, IEEE International Conference on Power Energy Environment & Intelligent Control 2024(PEEIC-2024) Technical Program Committee (TPC).
  5. “From Sensors to Solutions: A Survey on IoT and Machine Learning in Modern Agriculture” IEEE International Conference on Data Science, Agents, and Artificial Intelligence (ICDSAAI 2025) Chennai Institute of Technology, Chennai.
  6. “Intelligent Farming System: IoT and Adaptive Machine Learning for Sustainable Agriculture”, IEEE International Conference on Communication and Signal Processing, 2025.
  7. K. Ranjith Reddy ; Ch. Sreedevi; Sheo Kumar; Kunal Devidas Gaikwad; K. Vijaya Laxmi  “An enhanced and refined clustering strategy for crisis management to optimize ambulance performance in road accidents”, AIP Conf. Proc. 3342, 030044 (2025) https://doi.org/10.1063/5.0296666
  • Reinforcement Learning, Week 12 and 2025-10-23