0000-0002-4166-2591 About
I am an Associate Professor at UPES, School of Computer Science, with 10+ years of experience in teaching, research, and mentoring future engineers. My expertise lies in Machine Learning, Deep Learning, Wireless Sensor Networks, and Software Reliability Models.
As a passionate educator, I simplify complex concepts and foster a classroom culture built on problem-solving, design thinking, and innovation. Over the years, I have guided students across core computer science subjects, from Data Structures and Algorithms to AI, ML, and Digital Forensics.
On the research front, I have published 50+ articles in reputed SCI/Scopus journals and serve as a reviewer for leading publishers including Springer, Wiley, and Elsevier. I am also an active member of professional communities like ACM and Soft Computing Society of India.
Beyond academics, I love contributing to conferences, FDPs, and invited talks on AI, ML, and the ethics of technology, ensuring my knowledge and teaching remain industry-aligned and globally relevant.
Employment
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University of Petroleum and Energy Studies Assistant Professor (Senior Scale)2022 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (61)
- A lightweight blockchain framework for secure and scalable IoT communication Save
- A Systematic Review of Intelligent and Computational Techniques in E-Waste Management Save
- Enhanced Detection of Inter-Ictal Activity Amidst Artifacts: A Comparative Study Utilizing Deep Learning Frameworks and Ensemble Strategies Save
- A Clustering-Based Approach to Visualize the Impact of Economy on National Happiness Score Save
- Machine Learning‐Based Routing Framework for WSNs Using Learning Automata and Genetic Algorithms Save
- Explainable Artificial Intelligence (XAI) in IoT and WSN Security: A Systematic Review Save
- A Multi‐Layered Aggregation and Lightweight Prediction Framework for IoT‐Based WSNs Save
- Edge-Cloud Hybrid Task Scheduling Using Federated Reinforcement Learning and Adaptive Swarm Intelligence Save
- Integrating Blockchain and Machine Learning for Secure Data Aggregation in Wireless Sensor Networks Save
- IHKEM: A post-quantum ready hierarchical key establishment and management scheme for wireless sensor networks Save