21-22 May 2026
Publication Links
IJACSA
Special Issues
Publication Links
IJACSA
Special Issues
Computing Conference
Intelligent Systems Conference (IntelliSys)
Computer Vision Conference (CVC)
Country: India
Education: PhD or Doctorate
Affiliation: Koneru Lakshmaiah Education Foundation
Domain of Research: Technology Trends,Machine Vision,Intelligent Systems,Artificial Intelligence,Agents and Multi-agent Systems,Artificial Consciousness and Artificial Brain,Artificial Imagination,Artificial Intelligence,Artificial Neural Networks,Business Intelligence,Computational Intelligence,Computer Vision,Genetic Algorithms,Machine Learning,Machine Vision,Natural Language Processing,Neuro-Fuzzy Systems
Biography: Prof. Jyothi N. M. is a Professor in the Department of Computer Science and Engineering at Koneru Lakshmaiah Education Foundation (NIRF Rank 35, NAAC A++, Category 1), Vijayawada, India. She holds an M.Tech in Information Technology, an M.S. in Artificial Intelligence, and a Ph.D. in Computer Science from Bharathiar University, Coimbatore. With over 20 years of academic experience, she specializes in Artificial Intelligence, Machine Learning, Deep Learning, Big Data Analytics, Data Mining, Business Intelligence, Cloud Computing, Blockchain, and Biomedical Research. She has authored 27 Scopus-indexed and 6 Web of Science-indexed research papers, along with 25 other publications. Her intellectual property portfolio includes 1 Australian patent and 5 Indian patents. Prof. Jyothi has served as a reviewer for the Engineering Applications of Artificial Intelligence (Springer) and multiple IEEE and international conferences. She is an active member of professional bodies including ICSTA, ICSES, IAENG, ACM, ISTE, and the Oracle Learning Academy Faculty Hub. She has guided numerous B.Tech, M.Tech, and MCA projects and is currently supervising two research scholars. Her expertise in AI applications across agriculture, healthcare, and computational sciences makes her highly qualified to review manuscripts in these domains. ORCID: 0000-0001-5557-2661 Scopus ID: 57932662100 Google Scholar: Profile Link