O. P. Vyas

Indian Institute of Information Technology Allahabad — India

Computer Science · Physical Sciences

20h-index1.9kcitations202works1.52yr avg
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Research Topics

Data Mining Algorithms and Applications(34), Network Security and Intrusion Detection(22), Energy Efficient Wireless Sensor Networks(20), Rough Sets and Fuzzy Logic(20), Data Management and Algorithms(19)

Publications202 total

Implementation of Multiscale Conv-GRU-based Efficient Emotion Recognition Framework using Speech Signals based on Federated Learning
2025
Federated learning across the compute continuum: A hierarchical approach with splitNNs and personalized layers
Future Generation Computer Systems·2025· 1 cited
A deep reinforcement learning-based approach for cyber resilient demand response optimization
Frontiers in Energy Research·2025· 2 citedOpen Access
A Dummy User Based Privacy Preserving Model for Online and Offline Crowd Mobility Monitoring Applications
SSRN Electronic Journal·2025Open Access
Fed-HKD: Federated Heterogeneous Model Aggregation Using Modified Knowledge Distillation
Procedia Computer Science·2025Open Access
Heuristic-aided adaptive hybrid federated learning model for emotion recognition from face image and electroencephalography signals
International Journal of Computational Vision and Robotics·2025
Zero-Shot Based Hybrid Neural Network System for Enhancing Zero-Day Attack Detection
2024· 3 cited
ELA-NIDS: An Improved Ensemble Learning Network Intrusion Detection System for IIoT
2024· 1 cited
GA-LSTM: Performance Optimization of LSTM driven Time Series Forecasting
Computational Economics·2024· 9 cited
ProM-Ex: An Explainable Framework for Anomaly Detection in Process Mining Using Large Language Models
2024· 1 cited
Development of Emotion Recognition via Federated Learning: A Multi-modal Approach with Hybrid Convolutional Network
2024
A Genetic Algorithm and Graph Theory Based Restoration Mechanism for Smart Grid
2024
Achieving Grid Resilience and Stability with Horizontal Federated Learning Based Energy Demand Forecasting
2024· 2 cited
SGridNet: An Efficient and Optimize Bagging Deep Learning for Intrusion Detection in Smart Grid Networks
2024· 1 cited
Enhancing Object-Centric Process Model with Flattening Technique
2024
Machine Learning Vulnerabilities at the Edge: A Study of Multi-stage Gray-box Attacks<sup>*</sup>
2024· 1 cited
Optimizing Hyperparameters of Deep Learning Models for Stock Price Prediction
2024· 3 cited
Improving Heart Disease Prediction: Insights from Federated Deep Learning
2024· 2 cited
Enhancing Industrial IoT Intrusion Detection with Hyperparameter Optimization
2024· 4 cited
TMAP: A Threat Modeling and Attack Path Analysis Framework for Industrial IoT Systems (A Case Study of IoM and IoP)
Arabian Journal for Science and Engineering·2024· 10 cited
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Frequent Co-authors

Monika Rani(6), Ranjana Vyas(6), Shrish Verma(5), Antonio Puliafito(5), Nidhi Kushwaha(4), Ashish Singh Patel(4), Muneendra Ojha(4), Jyothi Pillai(4), Bharat Singh(3), Kumar Saurabh(3), Uphar Singh(3), Rahamatullah Khondoker(3), Dilip Singh Sisodia(3), Giovanni Merlino(3), Ayush Sinha(3), Pradeep Singh(2), Sunita Soni(2), Anuj Kumar Dwivedi(2), Bagesh Kumar(2), Vivek Tiwari(2)