Rakesh Kumar Saxena
Poornima University
Research areas: Engineering · Electrical and Electronic Engineering · Power Quality and Harmonics · Advanced Electrical Measurement Techniques · Multilevel Inverters and Converters
0000-0002-6453-6053
About
Dr. Rakesh Kumar Saxena, M.Tech in Engineering Systems (DEI Agra, 1999) and Ph.D. in the field of Computer Architecture and Logic Design (RGPV Bhopal, 2016), is currently a Professor of Computer Science at Poornima University, Jaipur. A Fellow of the Institution of Engineers India, IACSIT, and ISTE Delhi, he was awarded Chartered Engineer status by IE (I) in 2017. His research focuses on soft computing (AI, ML, DL), and he has led projects funded by AICTE, MSME, and the World Bank. He has published research papers in IEEE Xplore, AIP, Scopus/SCI and other journals of repute.
Employment
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Poornima University Faculty, Professor2022 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (58)
- Cloud-Based Digital Banking and Financial Systems for Sustainable Green Economic Growth Save
- Ethical AI and Responsible Data Use in Education Save
- Blockchain-Enabled Secure Communication and Digital Evidence Management in Smart Heterogeneous Policing Networks Save
- Ethical, Legal, and Governance Framework for AI-Enabled Smart Surveillance in Heterogeneous Policing Networks Save
- Hybrid discrete mathematical and deep learning techniques for nextgeneration cryptographic protocols Save
- DEEP LEARNING MODEL WITH HYBRID CHAOTIC SAND CAT SWARM OPTIMIZATION AND SAILFISH OPTIMIZER FOR ARRHYTHMIA ECG SIGNAL CLASSIFICATION Save
- Case Studies and Real-World Application of Generative AI Save
- Blockchain and Decentralized Identity for AIoT-Based Authentication in Smart Farming and Precision Agriculture Save
- Introduction to Federated Learning and Threat Landscape Save
- A Hybrid Quantum-Classical Transformer Framework for Robust Depression Detection on Social Media: Enhancing Sensitivity via Variational Quantum Circuits Save
- Agricultural Disease Detection Using IoT-Based Cloud-Driven Machine Learning Models Save
- Blockchain and Decentralized Identity for AIoT-Based Authentication in Smart Farming and Precision Agriculture Save
- Case Studies and Real-World Application of Generative AI Save
- Discrete Optimization Analysis of Ensemble Learning in Ayurvedic Dosha Classification Save
- Enhancing Diabetes Prediction Accuracy with Feature Engineering Techniques Save
- GenAI Humanizers in Academic Writing: A Novel Ethical Risk Detection Model Using Machine Learning Save
- Interpretable Deep Edge Detection with Enhanced EPPNet-CapsNet Architecture Save
- Introduction to Federated Learning and Threat Landscape Save
- Lightweight multi-modal malware intelligence : A unified framework for efficient graph, temporal, causal, and federated detections Save
- A Comparative Study of Machine Learning Techniques for Diabetic Retinopathy Detection from Retinal Images Save