Ratnesh Kumar Pandey
Department of Computer Science & Engineering
- DepartmentDepartment of Computer Science & Engineering
- DesignationAssistant Professor
- QualificationPh.D. (Pursuing)
- Emailratnesh.p@invertis.org
- Experience16 Years
- Publications
10
- Research
4
Mr. Ratnesh Kumar Pandey is an Associate Professor in the Department of Computer Science & Engineering at Invertis University, Bareilly, with more than 16 years of teaching experience. His academic expertise includes Machine Learning, Artificial Intelligence, Data Structures, Computer Networking, DBMS, Software Engineering, Computer Organization and Architecture, Data Compression, and Digital Logic Design. His technical interests also include Cybersecurity, Cloud Computing, IoT, Blockchain, and emerging AI technologies.
He has served in various academic positions, including Lecturer at U.N.S.I.E.T., V.B.S. Purvanchal University and other engineering colleges, and Assistant Professor at the Institute of Technology & Management, GIDA, Gorakhpur. He has been associated with Invertis University as an Associate Professor since September 2022.
His research interests include Machine Learning and Artificial Intelligence, Cybersecurity and DDoS attack detection, Cloud Computing security, IoT, Blockchain, Computer Networks, predictive computing, AI-based healthcare, and resource optimization. He has published research in SCI- and Scopus-indexed publications and contributed to Indian patent applications/publications covering areas such as Machine Learning, IoT, Cloud Forensics, Edge Computing, Healthcare, and AI-based traffic analysis. He has also contributed a book chapter titled “Cyber Security in Education Technology.”
Mr. Pandey has participated in 10+ workshops and FDPs and 7+ international conferences. His research contributions cover software quality and error prediction, network attack detection, blockchain, environmental prediction, healthcare, multi-cloud resource optimization, and AI applications in transportation. He contributes to curriculum development, student mentoring, research supervision, technical training, and academic innovation in Computer Science & Engineering.
