SAIYED FAIAYAZ WARIS

About

I am an academician and researcher with 19 years of experience in higher education, including nearly a decade of international academic service at a public university in Ethiopia. I am currently serving as an Assistant Professor in the Department of Computer Science and Engineering at Koneru Lakshmaiah Education Foundation (Deemed to be University), India.

Previously, I worked for four years as a Assistant Professor in the Department of Computer Science and Engineering at Vignan’s Foundation for Science, Technology and Research, India, where I contributed to teaching, research activities, and curriculum development initiatives.

I hold a Bachelor of Engineering degree from Anna University, Chennai, and a Master’s degree in Computer Science and Engineering from Sathyabama University, Chennai. I completed my Ph.D. at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai.

My academic and research contributions extend across national and international platforms. My research focuses on emerging technologies and intelligent data-driven systems, particularly in Internet of Things (IoT), Machine Learning, Medical Data Mining, Big Data Analytics, and Data Science. I am particularly interested in applying artificial intelligence and advanced analytics to solve real-world problems in healthcare and large-scale data environments.

With extensive experience in teaching, mentoring, curriculum design, and cross-cultural academic engagement, I am committed to advancing research excellence, innovation-driven education, and globally competitive engineering learning environments.

Employment

• Koneru Lakshmaiah Education Foundation Assistant Professor
  2024 - Present
• Vignan's Foundation for Science, Technology & Research Assistant Professor
  2020 - 2024
• Siddharth Institute of Engineering and Technology: Puttur, Andhra Pradesh, IN Associate Professor
  2018 - 2020
• Mizan-Tepi University Assistant Professor
  2009 - 2018
• Siddharth Institute of Engineering and Technology Assistant Professor
  2005 - 2007

Education

• Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology Ph.D (Pursuing)
  2018 - Present
• Thanthai Periyar Government Institute of Technology D.E.E.E
  1999 - 2002

Projects & Funding

Projects & funding information is unavailable.

Publications (31)

• 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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• Analysis of ECG Signals to Prediction of Ischemic Heart Disease Using Hybrid Neuro-fractal Analysis
  International Journal of Intelligent Systems and Applications in Engineering 2024
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• Exploring subcellular location anomalies: a novel quantum bioimaging paradigm
  Optical and Quantum Electronics 2024
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• Future-proofing entertainment: Navigating market changes in television and internet video services through predictive modeling
  2024
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• Athlete Fitness Monitoring with the Application of Wearable IoT Devices
  2023 4th International Conference on Smart Electronics and Communication (ICOSEC) 2023
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• A hybrid framework for efficient detection of fake currency notes
  Innovations in Electronics and Communication Engineering: Proceedings of the 9th ICIECE 2021 2022
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• An Investigation on Disease Diagnosis and Prediction by Using Modified KMean clustering and Combined CNN and ELM Classification Techniques
  International Journal of Communication Networks and Information Security 2022
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• Coronary Heart Artery Problem Detection and Evaluation employing Deep Neural Network.
  NeuroQuantology 2022
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• Fault Tolerance-Based Attack Detection Using Ensemble Classifier Machine Learning with IOT Security
  Big data management in Sensing 2022
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• Eyesight Test through Remote Virtual Doctor Using IoT
  Smart Computing and Self-Adaptive Systems 2021
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