Harendra S. Jangwan
IILM University
Research areas: Computer Science · Computer Vision and Pattern Recognition · Advanced Neural Network Applications · Multi-Criteria Decision Making · Energy Efficient Wireless Sensor Networks
About
Dr. Harendra S. Jangwan holds a Ph.D. in Computer Science and is currently working as an Associate Professor in the School of Computer Science & Engg. at IILM University, Bharat. He has previously served in academic roles, including Assistant Professor and Associate Professor, at reputed universities across Uttarakhand, Maharashtra and Gujarat. With over 14 years of teaching experience, his academic interests lie in Wireless Sensor Networks (WSNs), Cloud Computing, and Network Security.
Employment
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IILM University
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (9)
- A Distributed Extreme Learning Machine based approach for self-failure diagnosis in Underwater Wireless Sensor Networks Save
- A Distributed Extreme Learning Machine based approach for self-failure diagnosis in Underwater Wireless Sensor Networks Save
- A picture-fuzzy MULTIMOORA-based multi-criterion decision-making (MCDM) approach for optimal fuel selection of plastic oil in compression ignition engine Save
- ATwo-Stage Ensemble Feature Selection and Particle Swarm Optimization Approach for Micro-Array Data Classification in Distributed Computing Environments Save
- ATwo-Stage Ensemble Feature Selection and Particle Swarm Optimization Approach for Micro-Array Data Classification in Distributed Computing Environments Save
- Cloud-based optimized deep learning framework for automated glaucoma detection using stationary wavelet transform and improved grey-wolf-optimization with ELM approach Save
- Deep learning-based detection and classification of acute lymphoblastic leukemia with explainable AI techniques Save
- A swarm optimization based power aware clustering strategy for WSNs Save
- Enhanced energy-efficient balanced clustering protocol for WSN Save