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Dr.SAIYED FAIAYAZ WARIS

Assistant Professor in the Department of Artificial Intelligence and Data Science · Koneru Lakshmaiah Education Foundation(Deemed to be University)

https://researchid.co/saiyed.cse
@kluniversity.in
29Scopus Publications
464Google Scholar Citations
13Google Scholar h-index
16Google Scholar i10-index

Research Interests

Machine Learning ,Deep Learning , BIg Data Analytics

Biography

Dr. Saiyed Faiayaz Waris, B.E, M.E Ph.D . currently working as Assistant Professor in the Department of Artificial Intelligence and Data Science ,Koneru Lakshmaiah Education Foundation (Deemed to be University), India. He is having 17 years of teaching experience and published more than 24 research articles in various peer reviewed Journals. . His research interests include Artificial Intelligence, Machine Learning, Deep Learning, Big Data and Analytics and Internet of Things. He has presented several papers in conference proceedings.

Education

Ph.D. (Computer Science and Engineering) Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Chennai, 2024 M.E. (Computer Science and Engineering ) Sathyabama Institute of Science and Technology( Deemed to be University),2009 B.E. (Computer Science and Engineering ) Anna University , Chennai ,2005 Diploma in Electrical and Electronic Engineering ,Directorate of Technical Education (Chennai),2002

Recent Scopus Publications

  1. Precise Anomaly Recognition Using Advanced Federated Learning in Resource-Restricted WSN With Unreliable Connections
    International Journal of Communication Systems, 2026
  2. Real-time energy-efficient framework for multi-source harvesting and adaptive communication IIoT networks
    Sustainable Computing Informatics and Systems, 2025
  3. State estimation for DFIG-based wind turbines under voltage dips using multiresolution sinusoidal neural network-Tasmanian Devil optimization in Internet of Things enabled systems
    Energy, 2025
  4. Secure Quantum Key Distribution Protocol for Hybrid Classical-Quantum Networks
    2025 IEEE 5th International Conference on ICT in Business Industry and Government Ictbig 2025, 2025
  5. AI-DRIVEN PREDICTIVE ANALYTICS FOR PERFORMANCE EVALUATION AND STORAGE OPTIMISATION OF OXIDATION-PRONE MATERIALS USING HYPERSPECTRAL IMAGING AND QUANTUM SENSORS
    Oxidation Communications, 2025

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