Ramesh Chandra Poonia

About

Dr. Ramesh Chandra Poonia is a Professor at the Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India. He completed his Postdoctoral Fellowship from CPS Lab, Department of ICT and Natural Sciences, Norwegian University of Science and Technology, Ålesund, Norway. He received his PhD in Computer Science from Banasthali University, Banasthali, India, in July 2013. His research interests are Sustainable Technologies, Cyber-Physical Systems, Path Planning & Collision Avoidance in Artificial Intelligence and Intelligent Algorithms for Autonomous Systems. He is Chief Editor of TARU Journal of Sustainable Technologies and Computing (TJSTC) and Associate Editor of the Journal of Sustainable Computing: Informatics and Systems, Elsevier. He also serves in the editorial boards of a few international journals. He is the primary author and co-author of 06 books and an editor of more than 25 special issue of journals and books, including Springer, CRC Press – Taylor and Francis, IGI Global and Elsevier, edited books and Springer conference proceedings. He has authored/co-authored over 65 research publications in peer-reviewed reputed journals, book chapters, and conference proceedings.

Employment

• Christ University Professor
  2021 - Present
• Amity University - Jaipur Campus Professor
  2021 - 2021
• ​NTNU - Norwegian University of Science and Technology, Ålesund, Norway ​Postdoctoral Researcher
  2019 - 2020
• Amity University - Jaipur Campus Associate Professor
  2016 - 2021
• Amity University Rajasthan Assistant Professor
  2014 - 2016
• Jaipur National University Assistant Professor
  2008 - 2014
• Stani Memorial College of Engineering and Technology, Phagi, Lecturer
  2008 - 2008
• Sri Balaji College of Engineering & Technology Lecturer
  2005 - 2007

Education

• Banasthali University Bansathali Ph.D. in Computer Science
  2009 - 2013

Projects & Funding

Projects & funding information is unavailable.

Publications (86)

• A three-tier microsegmentation framework for enterprise networks under Zero Trust Architecture
  Alexandria Engineering Journal 2026 DOI: 10.1016/j.aej.2026.03.014
  +Save
• An Explainable AI-Driven Deep Learning Algorithm for Stroke Detection
  2026 DOI: 10.1007/978-3-032-25038-4_2
  +Save
• Real-Time Network Monitoring: Integrating Machine Learning and Custom Packet Sniffer Using Python
  2026 DOI: 10.1007/978-981-95-0626-2_1
  +Save
• Meta-heuristic somersault monkey search energy and time optimized collision free-path planning in ASVs
  Review of Computer Engineering Research 2026 DOI: 10.18488/76.v13i3.5025
  +Save
• Disease Identification for Tea Leaves Using Explainable Artificial Intelligence
  2025 DOI: 10.1007/978-981-96-6254-8_15
  +Save
• Wheat Grain Identification Using Explainable Artificial Intelligence
  2025 DOI: 10.1007/978-981-97-7426-5_21
  +Save
• Enhancing Road Safety and Efficiency Through IoT-Enabled Car-to-Car Communication
  2025 DOI: 10.1007/978-981-97-7426-5_29
  +Save
• Advancing Software Defect Detection and Prevention: Bridging Gaps in Early-Stage and Evolving Software Systems
  2025 DOI: 10.1007/978-981-97-9515-4_21
  +Save
• AI Enhanced Global Economic Resilience: Predicting and Mitigating Financial Crises
  2025 DOI: 10.1007/978-981-97-7426-5_20
  +Save
• A Comprehensive Study Using Convolutional Neural Networks as a Method for Multi-class Skin Cancer Image Classification
  2025 DOI: 10.1007/978-981-97-9515-4_1
  +Save