Karthikeyan P | Deeplearning | Best Paper Award

Dr. Karthikeyan P | Deeplearning | Best Paper Award

Associate Professor, RV University, India

Dr. P. Karthikeyan is an Associate Professor at the School of Computer Science and Engineering, RV University, Bengaluru, with extensive expertise in Cloud Computing, Deep Learning, and Blockchain. With over 50 published research papers in international journals and conferences, Dr. Karthikeyan has significantly contributed to advancing knowledge in computer science. He has delivered over 30 talks and conducted workshops on emerging technologies, emphasizing practical applications of cloud infrastructure, deep learning, and programming. Throughout his career, he has worked with governmental projects in Taiwan and Saudi Arabia. His commitment to teaching is driven by his belief in using computer science to uplift society and improve lives. He is passionate about creating enriching learning experiences for students while fostering a collaborative academic environment.

Profile

Education 

Dr. P. Karthikeyan holds a Ph.D. from Anna University, Chennai (2018), with a focus on improving Virtual Machine instance allocation algorithms in cloud environments. He earned his M.E. in Computer Science & Engineering from Anna University Coimbatore (2009), with an impressive CGPA of 9.36/10.00. His undergraduate studies were completed at Muthayammal Engineering College, Namakkal, where he obtained a B.E. in Computer Science & Engineering (2005) with a percentage of 73%. Additionally, he holds a Diploma in Electrical and Electronics Engineering from Muthayammal Polytechnic College, Namakkal, with a percentage of 87%. Dr. Karthikeyan’s educational foundation laid the groundwork for his future academic and research achievements in the field of computer science, particularly in cloud computing, deep learning, and blockchain technologies.

Experience

Dr. P. Karthikeyan has a rich teaching and research background, currently serving as an Associate Professor at RV University, Bengaluru, since September 2023. He previously held academic positions as Associate Professor at Jain Deemed-to-be University (2021–2022) and Parul University (2020–2021), where he also led the Department of Computer Science and Engineering. Dr. Karthikeyan’s international experience includes serving as a Post-Doctoral Researcher at National Chung Cheng University, Taiwan (2022–2023). His early career includes teaching roles at Presidency University, Bengaluru, and Karunya Institute of Technology and Sciences, Coimbatore, where he shaped the next generation of computer scientists. He has also contributed to the development of significant government projects in Taiwan and Saudi Arabia. Dr. Karthikeyan teaches subjects related to System Software, Cloud Computing, Deep Learning, and Cryptography, while guiding students in advanced research in these areas.

Awards and Honors 

Dr. P. Karthikeyan has been recognized for his exceptional contributions to research and academia. Notably, he received the Best Young Researcher Award (Male) at the 2nd International Academic and Research Excellence Awards (IARE) in 2020, acknowledging his significant research achievements in the field of computer science. His work in cloud computing, deep learning, and blockchain has led to over 50 publications in prestigious journals and conferences, further solidifying his reputation as a leading academic in these fields. Dr. Karthikeyan has also been a key speaker and workshop facilitator, sharing his knowledge in over 30 talks globally. His continued commitment to research and education, coupled with his active involvement in international collaborations and government projects, highlights his contribution to the development of technology and education.

Research Focus 

Dr. P. Karthikeyan’s research interests lie at the intersection of Cloud Computing, Deep Learning, and Blockchain technologies. He focuses on optimizing cloud environments, particularly through virtual machine instance allocation algorithms, and has contributed significantly to enhancing cloud infrastructure. His work in deep learning spans multiple domains, from intrusion detection in IoT environments to applications in medical imaging and intelligent traffic management. Additionally, Dr. Karthikeyan’s research in blockchain explores its use in IoT security, supply chain management, and energy transaction markets. He is also deeply involved in research on federated learning, explainable AI, and blockchain-enabled solutions for privacy and security. Through his research, Dr. Karthikeyan aims to develop socially relevant applications that not only advance academic knowledge but also contribute to solving real-world problems, such as improving supply chain security and advancing sustainable smart grid technologies.

Publications

  1. Hybrid electro search with genetic algorithm for task scheduling in cloud computing – Ain Shams Engineering Journal 🌐📅
  2. Detection of distributed denial of service attack in cloud computing using optimization-based deep networks – Journal of Experimental & Theoretical AI 📉⚡
  3. Blockchain Technology: Challenges and Security issues in Consensus algorithm – International Conference on Computer Communication and Informatics 🔗🔐
  4. A survey on blockchain techniques for Internet of Vehicles security – Transactions on Emerging Telecommunication Technologies 🚗🔒
  5. Review of Blockchain-based IoT application and its security issues – International Conference on Intelligent Computing 🌐🔍
  6. Efficient lightweight privacy-preserving mechanism for Industry 4.0 based on elliptic curve cryptography – IEEE Transactions on Industrial Informatics 🏭🔐
  7. Reinforcement learning integrated in heuristic search for self-driving vehicle using blockchain in supply chain management – International Journal of Intelligent Networks 🚗📊
  8. Seafood supply chain management using blockchain – International Conference on Advanced Computing 🦐🔗
  9. Hybrid optimization scheme for intrusion detection using feature selection – Neural Computing and Applications 🛡️🧠
  10. Perishable food products in cold supply chain management using blockchain technology🌐