Dr.SAIYED FAIAYAZ WARIS

@kluniversity.in

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

Dr.SAIYED FAIAYAZ WARIS


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https://researchid.co/saiyed.cse
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

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Artificial Intelligence, Computer Science Applications, Biochemistry
29

Scopus Publications

464

Scholar Citations

13

Scholar h-index

16

Scholar i10-index

Scopus Publications

  • Precise Anomaly Recognition Using Advanced Federated Learning in Resource-Restricted WSN With Unreliable Connections
    L. Bhagyalakshmi, K. Krishnamoorthy, Saiyed Faiayaz Waris, M. Karthiga
    International Journal of Communication Systems, 2026
    This work presents an advanced federated learning (FL) framework that integrates a CNN–GRU + FedTrust model for precise anomaly recognition in resource‐constrained wireless sensor networks (WSNs) with unreliable connections. Unlike traditional centralized and heterogeneous FL approaches, the proposed system achieves higher accuracy, efficiency, and robustness by combining lightweight CNN–GRU feature extraction with trust‐weighted aggregation through the FedTrust mechanism. The model leverages top‐k gradient sparsification to reduce communication overhead and energy‐aware client selection (EAC) to optimize energy use, ensuring sustainable network performance. Evaluations on real‐world datasets—WUSTL Wireless Sensor Data and Intel Lab Data—demonstrate the model's superiority, achieving 98.4% accuracy, 0.98 F1 score, and faster convergence than Autoencoder‐FL, GNN‐FL, and hierarchical FL methods. It also exhibits enhanced robustness under client dropout (96.1%) and noise (92.7%) conditions, significantly outperforming existing FL techniques. By efficiently capturing both spatial and temporal patterns while maintaining privacy and energy balance, the CNN–GRU + FedTrust framework delivers reliable and scalable anomaly detection across diverse IoT and smart‐industry environments. This hybrid design establishes a new benchmark for energy‐efficient, trustworthy, and high‐precision FL‐based anomaly detection in next‐generation WSNs.
  • Real-time energy-efficient framework for multi-source harvesting and adaptive communication IIoT networks
    Kumari Priyanka Sinha, Hosam Alden Riyadh, Y.Mohana Roopa, Saiyed Faiayaz waris, Hatem S.A. Hamatta, et al.
    Sustainable Computing Informatics and Systems, 2025
  • State estimation for DFIG-based wind turbines under voltage dips using multiresolution sinusoidal neural network-Tasmanian Devil optimization in Internet of Things enabled systems
    S.R. Menaka, Sushil Kumar Bhoi, Saiyed Faiayaz Waris, E. Mohan
    Energy, 2025
  • Secure Quantum Key Distribution Protocol for Hybrid Classical-Quantum Networks
    Saiyed Faiayaz Waris, L. Bhagyalakshmi, M. Muni Babu, Musham Sandhya Rani, Hitha Poddar, et al.
    2025 IEEE 5th International Conference on ICT in Business Industry and Government Ictbig 2025, 2025
  • AI-DRIVEN PREDICTIVE ANALYTICS FOR PERFORMANCE EVALUATION AND STORAGE OPTIMISATION OF OXIDATION-PRONE MATERIALS USING HYPERSPECTRAL IMAGING AND QUANTUM SENSORS
    Oxidation Communications, 2025
  • Future-proofing entertainment: Navigating market changes in television and internet video services through predictive modeling
    Yashwanth Nanjappa, M. Guru Vimal Kumar, K. Vanisree, D.V. Divakara Rao, Saiyed Faiayaz Waris, et al.
    Entertainment Computing, 2024
  • Exploring subcellular location anomalies: a novel quantum bioimaging paradigm
    Kailash Kumar, Syed Hauider Abbas, Manish Gupta, Saiyed Faiayaz Waris, Dibyahash Bordoloi, et al.
    Optical and Quantum Electronics, 2024
  • 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
  • Wild Horse Optimizer and Support Vector Machine (SVM) Classifier Predicts the Heart Disease Converging Nature-Motivated Optimization and Machine Learning
    Journal of Angiotherapy, 2024
    Background: As one of the leading causes of morbidity and mortality worldwide, the diagnosis of acute cardiovascular disease (acute CVD) in emergency settings remains a significant challenge. Machine learning (ML) is artificial intelligence that allows computer programs to learn from and analyze large data sets without human intervention. As a diagnostic tool, ML presents numerous advantages, such as convenience, speed, and affordability. Methods: This research utilized a new model for predicting heart disease for feature selection(Wild Horse Optimizer, WHO) and another classification model (Support Vector Machine, SVM). In the WHO algorithm, like envisioning social behaviors of wild horses, we observe that wild horses display diverse behaviors like leading, grazing, moving, mating and chase. One odd behavior about wild horses is that young foals will break away from the herd to avoid the breed in its related herd before reaching maturity. It defines the decencies of the horses. Discussion: Multiple ML techniques were employed to train classifiers using the Cleveland heart disease dataset after conducting feature selection using WHO algorithm. The performance of these models was evaluated based on different parameters like Sensitivity, Accuracy, Specificity, and AUC. The SVM classifier model trained using the WHO approach proved better than the existing methods. In the research, we proposed a Wild Horse Optimization algorithm to optimize the features for Heart Disease prediction. After feature optimization, the optimized dataset is then given to Support Vector machine classification, which performs the classification of heart disease. After evaluating different experimental results, authors conclude that combining this feature selection algorithm and SVM as a classifier for forecasting heart disease is very effective. With the help of this approach, we can improve the early detection of heart disease and effectively manage severe heart disease. The experimental result graph shows an increased accuracy rate of the spectra feature subject.
  • The Healthcare IoTs as a Paradigm Shift in Healthcare Management, Patient Treatment, and Healthcare Data Processing
    Amit Amit, Prabha Rani Sikdar, C. Raja, Saiyed Faiayaz Waris, Manoj Kumar .T, et al.
    Journal of Intelligent Systems and Internet of Things, 2024
    When it comes to hospital administration, patient care, and medical data analysis, the Healthcare Internet of Things (HIoT) is nothing short of a paradigm revolution. We dive into this new paradigm to examine its far-reaching effects and revolutionary possibilities in the healthcare system. The context is established by introducing HIoT as a game-changing development in healthcare. Using the IoT to network several devices, this model paves the way for real-time patient monitoring, streamlined inventory management, and integrated telemedicine. The healthcare industry as we know it will be transformed by HIoT as it strives to improve resource allocation, simplify operations, and provide proactive patient care. Our investigation includes a thorough appraisal of how HIoT will affect many facets of medical treatment. We use many research approaches and quality indicators for this evaluation. We may evaluate the viability and scalability of HIoT solutions by testing them in experimental settings that mimic real-world healthcare settings. To provide a precise depiction of the healthcare system, dataset environments use well maintained medical data sources. The performance and efficacy of HIoT technologies may be evaluated using measurable criteria such as sensitivity (0.94), specificity (0.89), F1-Score (0.91), ROC-AUC (0.95), and cost savings ($150,000). To determine the relative importance of each part of the HIoT ecosystem, researchers undertake ablation studies. Our findings provide a clear picture of the disruptive potential of HIoT. Better patient outcomes may be ensured via early interventions thanks to the improved accuracy (0.92), efficiency (9.2), and satisfaction (9.2) provided by the suggested HIoT technique for patient monitoring. When healthcare and telemedicine are combined, the success rate of remote consultations increases to 95%, response times decrease to 15 minutes, and more people have access to medical treatment.
  • Sparse-Attention Based Deep Convolutional Neural Network for Pneumonia Detection
    Saiyed Faiyaz Waris, Vissa Naganjaneya Rohith Karthikeya, Munipalle Venkata Lakshmi Supraja
    2023 3rd International Conference on Intelligent Technologies Conit 2023, 2023
  • Removing Gaussian Image Noise Using Advanced Non-Local Means Filtering Techniques
    A Suresh, Saiyed Faiayaz Waris, B Mohankumar, R Arumuga Arun, G. Saravanan
    2023 International Conference on New Frontiers in Communication Automation Management and Security Iccams 2023, 2023
  • Athlete Fitness Monitoring with the Application of Wearable IoT Devices
    Narender Chinthamu, Vishal Moyal, Rajeev Sharma, T.A. Mohanaprakash, Saiyed Faiayaz Waris, et al.
    Proceedings of the 4th International Conference on Smart Electronics and Communication Icosec 2023, 2023
  • Prediction of heart conditions by consensus K-nearest neighbor algorithm and convolution neural network
    Saiyed Faiayaz Waris, S. Koteeswaran
    International Journal of Modeling Simulation and Scientific Computing, 2022
  • An Investigation on Disease Diagnosis and Prediction by Using Modified KMean clustering and Combined CNN and ELM Classification Techniques
    Saiyed Faiayaz Waris, S. Koteeswaran
    International Journal of Communication Networks and Information Security, 2022
  • A Hybrid Framework for Efficient Detection of Fake Currency Notes
    M. V. B. T. Santhi, S. Hrushikesava Raju, S. Adinarayna, V. Lokanadham Naidu, Saiyed Faiayaz Waris
    Lecture Notes in Networks and Systems, 2022
  • Intelligent Voice Assistant by Using OpenCV Approach
    CH.M.H. Saibaba, Saiyed Faiayaz Waris, S.Hrushikesava Raju, VSRK Sarma, Vijaya Chandra Jadala, et al.
    Proceedings of the 2nd International Conference on Electronics and Sustainable Communication Systems Icesc 2021, 2021
  • Analysis of Cluster Head Selection Methods in WSN
    A. Arulmurugan, Saiyed Faiayaz Waris, N. Bhagyalakshmi
    Proceedings of the 6th International Conference on Inventive Computation Technologies Icict 2021, 2021
  • Fault Tolerance-Based Attack Detection Using Ensemble Classifier Machine Learning with IOT Security
    Big Data Management in Sensing Applications in AI and Iot, 2021
  • Smart Eye Testing
    S. Hrushikesava Raju, Lakshmi Ramani Burra, Saiyed Faiayaz Waris, S. Kavitha, S. Dorababu
    Advances in Intelligent Systems and Computing, 2021
  • Eyesight Test through Remote Virtual Doctor Using IoT
    S. Hrushikesava Raju, Lakshmi Ramani Burra, Saiyed Faiayaz Waris, V. Lakshmi Lalitha, S. Dorababu, et al.
    Smart Computing and Self Adaptive Systems, 2021
  • Output-Oriented Multi-Pane Mail Booster Data Crawling and Results in All Category Panes of a Mail
    S. Hrushikesava Raju, V. Lakshmi Lalitha, Praveen Tumuluru, N. Sunanda, S. Kavitha, et al.
    Smart Computing and Self Adaptive Systems, 2021
  • IoT as a Health Guide Tool
    Dr.S Hrushikesava Raju, Dr Lakshmi Ramani Burra, Saiyed Faiayaz Waris, S Kavitha
    Iop Conference Series Materials Science and Engineering, 2020
  • International Currency Translator using IoT for shopping
    CH.M.H Sai baba, Dr.S Hrushikesava Raju, M.V.B.T Santhi, S Dorababu, Er Saiyed Faiayaz waris
    Iop Conference Series Materials Science and Engineering, 2020
  • An efficient patch based local principal component analysis technique in image denoising process with soft computing approach
    International Journal of Scientific and Technology Research, 2020
  • Tourism Enhancer App: User-Friendliness of a Map with Relevant Features
    Raju Dr. S. Hrushikesava, Ramani Burra Lakshmi, Koujalagi Ashok, Saiyed Faiayaz Waris
    Iop Conference Series Materials Science and Engineering, 2020
  • Smart Catcher of weighted Objects
    Radha Mothukuri, Dr. S. Hrushikesava Raju, S. Dorababu, Saiyed Faiayaz Waris
    Iop Conference Series Materials Science and Engineering, 2020
  • Smart Gas Monitoring System for Home and Industries
    Modepalli Kavitha, Dr. S. Hrushikesava Raju, Saiyed Faiayaz Waris, Dr. Ashok Koulagaji
    Iop Conference Series Materials Science and Engineering, 2020
  • Smart Instant Charging of Power Banks
    N Sunanda, S. Hrushikesava Raju, Saiyed Faiayaz Waris, Ashok Koulagaji
    Iop Conference Series Materials Science and Engineering, 2020

RECENT SCHOLAR PUBLICATIONS

  • Precise Anomaly Recognition Using Advanced Federated Learning in Resource‐Restricted WSN With Unreliable Connections
    L Bhagyalakshmi, K Krishnamoorthy, SF Waris, M Karthiga
    International Journal of Communication Systems 39 (5), e70424 , 2026
    2026
  • Secure Quantum Key Distribution Protocol for Hybrid Classical-Quantum Networks
    SF Waris, L Bhagyalakshmi, MM Babu, MS Rani, H Poddar, SK Suman
    2025 IEEE 5th International Conference on ICT in Business Industry … , 2026
    2026
    Citations: 13
  • State estimation for DFIG-based wind turbines under voltage dips using multiresolution sinusoidal neural network-Tasmanian Devil optimization in Internet of Things enabled systems
    SR Menaka, SK Bhoi, SF Waris, E Mohan
    Energy 326, 136344 , 2025
    2025
    Citations: 12
  • Real-Time Energy-Efficient framework for Multi-Source Harvesting and Adaptive Communication IIoT Networks
    KP Sinha, HA Riyadh, YM Roopa, HSA Saiyed Faiayaz Waris , Hamatta, ...
    Sustainable Computing: Informatics and Systems, 101150 , 2025
    2025
    Citations: 35
  • AI-DRIVEN PREDICTIVE ANALYTICS FOR PERFORMANCE EVALUATION AND STORAGE OPTIMISATION OF OXIDATION-PRONE MATERIALS USING HYPERSPECTRAL IMAGING AND QUANTUM SENSORS.
    NS PATANKAR, A LAKSHMI, SF WARIS, T NERLEKAR, M PRABHAKAR, ...
    Oxidation Communications 48 (1) , 2025
    2025
  • Future-proofing entertainment: Navigating market changes in television and internet video services through predictive modeling
    Y Nanjappa, MGV Kumar, K Vanisree, DVD Rao, SF Waris, N Chinthamu
    2024
    Citations: 4
  • The Healthcare IoTs as a Paradigm Shift in Healthcare Management, Patient Treatment, and Healthcare Data Processing.
    AK Chandanan, PR Sikdar, C Raja, SF Waris, K Bhopate
    Journal of Intelligent Systems & Internet of Things 13 (2) , 2024
    2024
  • Wild Horse Optimizer and Support Vector Machine (SVM) Classifier Predicts the Heart Disease Converging Nature-Motivated Optimization and Machine Learning
    V Saiyed Faiayaz ,Mandala, SND Surabhi, VR Balaji, DR Patil
    2024
    Citations: 2
  • Removing Gaussian Image Noise Using Advanced Non-Local Means Filtering Techniques
    A Suresh, SF Waris, B Mohankumar, RA Arun, G Saravanan
    2023 International Conference on New Frontiers in Communication, Automation … , 2024
    2024
    Citations: 3
  • Exploring subcellular location anomalies: a novel quantum bioimaging paradigm
    K Kumar, SH Abbas, M Gupta, SF Waris, D Bordoloi, MK Kirubakaran
    Optical and Quantum Electronics 56 (4), 657 , 2024
    2024
    Citations: 3
  • Analysis of ECG Signals to Prediction of Ischemic Heart Disease Using Hybrid Neuro-fractal Analysis
    SF Waris
    International Journal of Intelligent Systems and Applications in Engineering … , 2024
    2024
    Citations: 2
  • Sensor Based Street Light Changing Robo
    DPJ Saiyed Faiayaz Waris, Mr.Narender Chinthamu , Dr. Bechoo Lal, Dr Prasun ...
    2023
  • Athlete Fitness Monitoring with the Application of Wearable IoT Devices
    N Chinthamu, V Moyal, R Sharma, TA Mohanaprakash, SF Waris, ...
    2023 4th International Conference on Smart Electronics and Communication … , 2023
    2023
    Citations: 4
  • Sparse-Attention Based Deep Convolutional Neural Network for Pneumonia Detection
    SF Waris, VNR Karthikeya, MVL Supraja
    2023 3rd International Conference on Intelligent Technologies (CONIT), 1-8 , 2023
    2023
    Citations: 1
  • An Investigation on Disease Diagnosis and Prediction by Using Modified KMean clustering and Combined CNN and ELM Classification Techniques
    SK saiyed faiayaz waris
    International Journal of Communication Networks and Information Security 14 … , 2022
    2022
    Citations: 2
  • Fault Tolerance-Based Attack Detection Using Ensemble Classifier Machine Learning with IOT Security
    A Arulmurugan, R Kaviarasan, SF Waris
    Big data management in Sensing, 115-148 , 2022
    2022
  • Coronary Heart Artery Problem Detection and Evaluation employing Deep Neural Network.
    SK saiyed faiayaz waris
    NeuroQuantology 20 (8), 281-290 , 2022
    2022
  • Prediction of heart conditions by consensus K -nearest neighbor algorithm and convolution neural network
    SF Waris, S Koteeswaran
    International Journal of Modeling, Simulation, and Scientific Computing 13 … , 2022
    2022
    Citations: 2
  • Role of Big Data Learning in Text Analytics of Internet of Things
    saiyed faiayaz waris
    Guangdianzi Jiguang/Journal of Optoelectronics Laser 41 (3), 94-98 , 2022
    2022
  • A hybrid framework for efficient detection of fake currency notes
    M Santhi, S Hrushikesava Raju, S Adinarayna, V Lokanadham Naidu, ...
    Innovations in Electronics and Communication Engineering: Proceedings of the … , 2022
    2022
    Citations: 6

MOST CITED SCHOLAR PUBLICATIONS

  • Tourism enhancer app: user-friendliness of a map with relevant features
    R Dr. S. Hrushikesava, RB Lakshmi, K Ashok, SF Waris
    IOP Conference Series: Materials Science and Engineering 981 (2), 022067 , 2020
    2020
    Citations: 54
  • IoT as a health guide tool
    SH Raju, LR Burra, SF Waris, S Kavitha
    IOP Conf. Ser. Mater. Sci. Eng 981 (4) , 2020
    2020
    Citations: 50
  • Heart disease early prediction using a novel machine learning method called improved K-Nearest neighbor classifier in python
    SF Waris, S Koteeswaran
    Materials Today: Proceedings , 2021
    2021
    Citations: 42
  • Real-Time Energy-Efficient framework for Multi-Source Harvesting and Adaptive Communication IIoT Networks
    KP Sinha, HA Riyadh, YM Roopa, HSA Saiyed Faiayaz Waris , Hamatta, ...
    Sustainable Computing: Informatics and Systems, 101150 , 2025
    2025
    Citations: 35
  • Smart gas monitoring system for home and industries
    M Kavitha, DSH Raju, SF Waris, DA Koulagaji
    IOP Conference Series: Materials Science and Engineering 981 (2), 022003 , 2020
    2020
    Citations: 29
  • Smart dark pattern detection: Making aware of misleading patterns through the intended app
    SH Raju, SF Waris, S Adinarayna, VC Jadala, GS Rao
    Sentimental Analysis and Deep Learning: Proceedings of ICSADL 2021, 933-947 , 2021
    2021
    Citations: 23
  • Eyesight Test through Remote Virtual Doctor Using IoT
    SH Raju, LR Burra, SF Waris, VL Lalitha, S Dorababu, S Kavitha
    Smart Computing and Self-Adaptive Systems, 83-95 , 2021
    2021
    Citations: 21
  • Smart instant charging of power banks
    N Sunanda, S Hrushikesava Raju, S Faiayaz Waris, A Koulagaji
    IOP Conference Series: Materials Science and Engineering 981 (2), 022066 , 2020
    2020
    Citations: 21
  • Output-oriented multi-pane mail booster, smart computing and self-adaptive systems
    SH Raju, VL Lalitha, P Tumuluru, N Sunanda, S Kavitha, SF Waris
    CRC Press 10, 9781003156123-4 , 2021
    2021
    Citations: 19
  • Intelligent voice assistant by using OpenCV approach
    CHMH Saibaba, SF Waris, SH Raju, V Sarma, VC Jadala, C Prasad
    2021 second international conference on electronics and sustainable … , 2021
    2021
    Citations: 17
  • Smart Eye Testing
    SH Raju, LR Burra, SF Waris, S Kavitha, S Dorababu
    International Conference on Intelligent and Smart Computing in Data … , 2021
    2021
    Citations: 16
  • Smart catcher of weighted objects
    R Mothukuri, DSH Raju, S Dorababu, SF Waris
    IOP Conference Series: Materials Science and Engineering 981 (2), 022002 , 2020
    2020
    Citations: 16
  • IoT as a health guide tool, IOP Conf
    DSH Raju, DLR Burra, SF Waris, S Kavitha
    Ser. Mater. Sci. Eng 981 (4) , 2020
    2020
    Citations: 14
  • Secure Quantum Key Distribution Protocol for Hybrid Classical-Quantum Networks
    SF Waris, L Bhagyalakshmi, MM Babu, MS Rani, H Poddar, SK Suman
    2025 IEEE 5th International Conference on ICT in Business Industry … , 2026
    2026
    Citations: 13
  • Smart Eye Testing, Advances in Intelligent Systems and Computing, 2021, ISCDA 2020, 1312 AISC
    S Hrushikesava Raju, LR Burra, SF Waris, S Kavitha, S Dorababu
    2021
    Citations: 13
  • State estimation for DFIG-based wind turbines under voltage dips using multiresolution sinusoidal neural network-Tasmanian Devil optimization in Internet of Things enabled systems
    SR Menaka, SK Bhoi, SF Waris, E Mohan
    Energy 326, 136344 , 2025
    2025
    Citations: 12
  • Analysis of cluster head selection methods in WSN
    A Arulmurugan, SF Waris, N Bhagyalakshmi
    2021 6th International Conference on Inventive Computation Technologies … , 2021
    2021
    Citations: 9
  • Smart Instant Charging of Power Banks SMART INSTANT CHARGING OF POWER BANKS, IOP Conference Series Materials Science and Engineering
    N Sunanda, SH Raju, SF Waris, A Koulagaji
    SRITW, Warangal, Telangana, India 981, 210 , 2020
    2020
    Citations: 7
  • A hybrid framework for efficient detection of fake currency notes
    M Santhi, S Hrushikesava Raju, S Adinarayna, V Lokanadham Naidu, ...
    Innovations in Electronics and Communication Engineering: Proceedings of the … , 2022
    2022
    Citations: 6
  • International Currency Translator using IoT for shopping
    H Saiyed Faiayaz Waris, M Santhi, S Dorababu
    IOP Conference Series: Materials Science and Engineering 981 (4), 042014 , 2020
    2020
    Citations: 5