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Dr. Manjunath H R

Artificial Intelligence and Machine Learning

Manjunath

Dr. Manjunath H R

Associate Professor

Dr. Manjunath H R

Email: manjunath.hr@jyothyit.ac.in

Dr. Manjunath H R, Associate Professor in the Department of Artificial Intelligence and Machine Learning, received his doctoral degree from Sri Siddhartha Academy of Higher Education (Sri Siddhartha University) Tumkur in the year 2022. He has studied M. Tech. in Computer Science and Engineering from Basaveshwara Engineering College Bagalkot affiliated to Visvesvaraya Technological University and BE in Computer Science and Engineering from SJMIT Chitradurga affiliated to Kuvempu University He has 19 years of academic experience. His research interests include Wireless Sensor Networks, Artificial Intelligence and Machine Learning, Image processing and IOT. Guided many projects in the area of Machine Learning, Database, Embedded Systems, Data Analytics and Networks which has resulted in technical papers in International peer reviewed Journals and National Conference.He has published articles in international conferences. Research papers are indexed in SCOPUS and life member in ISTE, IETE.

ResearchID link: https://ResearchID.co/manjuhr

Wireless sensor networks, Artificial Intelligence and Machine Learning, Data Science and IOT

MISTE, MIETE

Certification Name: Course era “AI for Everyone”

Journal Publications
  1. Energy Efficient Heterogeneous Wireless Sensor Networks – Recent Trends & Research Challenges Lecture Notes on Data Engineering and Communications Technologies, 2020, 44, pp. 146–151 (Indexed in Scopus)
  2. Energy aware mobile dispatchment and scheduling in hybrid wireless sensor network.         Ejmcm issn 2515-8260 Volume 07, Issue 11, 2020 (Indexed in Scopus)
  3. Energy-Efficient Cluster based Routing for Hybrid Wireless Sensor Networks using Adaptive Hybrid Search and Optimization Algorithm  International Journal of Intelligent Engineering and Systems, Vol.14, No.5, 2021 DOI: 10.22266/ijies2021.1031.21 (Indexed in Scopus)
  4. Energy-Efficient Routing Protocol for Hybrid Wireless Sensor Networks using Optimization Algorithm. International Journal of Intelligent Engineering and Systems (Indexed in Scopus)
  5. New Automated Vehicle Crash Avoidance System Based on Dipping and RF Techniques Lecture Notes on Data Engineering and Communications Technologies, 2019, 26, pp. 1565–1572(Indexed in Scopus)