About
Dr. Ravikumar Ch is an accomplished professional in the field of Computer Science & Engineering, recognized for his contributions to both academia and research. He earned his B.Tech. Degree from Jawaharlal Nehru Technological University in 2004, followed by an M.Tech in Computer Science & Engineering in 2011. Recently, he successfully defended his Ph.D. in Computer Science & Engineering from Lovely Professional University in 2024, focusing on innovative approaches in Cloud Cryptography and blockchain security.
With over 14 years of teaching experience and 5 years dedicated to research, Dr. Ravikumar's academic journey includes notable achievements such as receiving the Best Teacher Award from Anurag Engineering College in 2011 for his exceptional delivery of the Operating System subject. His research prowess is evidenced by his authorship of 20 Scopus indexed papers and 5 Web of Science indexed papers, alongside securing 2 patents in areas spanning cloud computing and blockchain technology.
Dr. Ravikumar's expertise extends to the forefront of technological advancements, particularly in cloud computing and blockchain, where his insights and innovations contribute significantly to the field. Currently serving as an Assistant Professor at Sreenidhi University, he continues to inspire and mentor students while actively pursuing cutting-edge research initiatives.
For any inquiries or further communication regarding his research or teaching, Dr. Ravikumar can be contacted at [email protected].
Employment
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Sreenidhi University Assistant Professor2024 - Present
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Chaitanya Bharathi Institute of Technology Assistant Professor2023 - 2024
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (24)
- Federated Learning and Quantum-Resilient Cryptographic Frameworks for Secure and Trustworthy AIoT Ecosystems Save
- Securing AIoT Ecosystems With Blockchain Trust Modeling and Privacy Preserving Frameworks Save
- A Comprehensive Review on Bio-Inspired Optimization Techniques Save
- A Comprehensive Analysis of Machine Learning Methods for Bug Prediction in Software Development Save
- A Comprehensive Analysis for Advancements and Challenges in Deep Learning Models for Image Processing Save
- A Holistic Approach to Detecting and Attributing Deepfake Media Using Advanced Computer Vision and Machine Learning Techniques Save
- A Comparative Study of Machine Learning Techniques for Threat Detection and Enhancing Security in Industrial IoT Save
- Revolutionizing Healthcare With Cloud Computing Save
- Quantum Machine Learning in Cloud-Based Security Services and Applications Save
- Optimizing Mobile Apps for Device-Free Indoor Localization in Dynamic Environments Using Analytical Geometry and Machine Learning Save