Computer Science & Engineering and Information Technology (CSE&IT)

Ravindara Bhatt is currently an Associate Professor in the Department of Computer Science and Engineering and Information Technology at Jaypee University of Information Technology (JUIT) India. He joined Department of Computer Science and Engineering and Information Technology, JUIT in 2006. He has completed his Ph.D.degree from Indian Institute of Technology, Kharagpur, India. He received his Master of Technology in Information Technology from University School of Information Technology, Guru Gobind Singh Indraprastha University, Delhi in 2005. His Master of Technology thesis is in Multimedia and Data Compression. He received his Bachelor of Engineering in Electronics and Communication Engineering from Gobind Ballab Pant Engineering College, Pauri (An Autonomous State Govt. Engineering College, Uttrakhand) in 1996. Ravindara completed his 10th and 12th from St. Gabriels Academy (Now Army School, Roorkee) in 1988 and 1990 respectively.
Ravindara has over 25 years of extensive experience in Academics and Industry. His academic experience is more than 15 years at JUIT. He has industry experience in the initial stage of his career, which provides him with a broad view and is useful in assisting students. He has supervised one PhD student, six Master of Technology and several Bachelor of Technology students in the Department of Computer Science and Engineering and Information Technology at JUIT. He is currently supervising four PhD students in the areas of cyber physical system security, privacy preservation, big data, and machine learning. Ravindara enjoy to teach assigned classes and to develop new courses. Recently, he taught data science, From graph to knowledge graph, programming for problem solving, data structures, software engineering, computer networks and graph algorithms and applications.
Ravindara current area of research is in the fields of cyber physical system security, privacy preservation and machine learning algorithms. Ravindara was invited to serve as Session Chair for IEEE ICIIP-2021, IEEE PDGC-2016, and ICIIP-2015. He has also served as Publicity Chair for ICIIP. He has enthusiastically participated and acted as organizing committee member of numerous IEEE and other conferences.
He is Departmental coordinator for summer trainings and placement for CSE and IT students. Ravindara is PhD coordinator in the CSE and IT department at JUIT. He is appointed as Nodal Incharge for student exchange program with University of Florida, USA. He is a member of New Education Policy Committee (NEP-2020) in JUIT. Ravindara has served as external examiner, evaluator, and observer for various universities. He is also a reviewer for various renowned International journals and conferences. He is currently serving as aMember of Computer Society of India (CSI), ACM and IEEE.

Education:  

PhD Indian Institute of Technology, Kharagpur , India. Thesis title: Deployment Issues of Wireless Multimedia Sensor Networks for Surveillance Applications
M.Tech. University School of Information Technology, Guru Gobind Singh, Indraprastha University, India. Thesis title: Multimedia and Data Compression.
B.E. G. B. Pant Engineering College, An Autonomous State Govt. Engineering College, H.N.B. Garhwal University, India.

Research Groups:

1. Computer System and Networks

2. Ubiquitous Computing

Research Interests:

Cyber physical system security, privacy preservation, big data, and machine learning

Open Project Titles:

1. JUIT Biometric-based attendance Tracking System
Conventional attendance system are time consuming and needs to be replaced by biometric-based attendance system. Attendance system requires efficient algorithms for information storage, retrieval, and preserving privacy of an individual.

2. Recommendations powered by Knowledge Graphs
Recommendation systems are used by e-commerce platforms. Generating recommendations with the knowledge graph has attracted considerable interest in recent years. The work requires developing algorithms for large knowledge graphs and models of machine reading.

3. Machine Learning for Healthcare Systems
The proposed system assists doctor to predict disease in an effective way. All the stakeholders of healthcare system are benefited. The work requires development of efficient algorithms for prediction of chronic disease.

4. Privacy Preservation in e-Healthcare Environments
Privacy preservation is required from the point of data collection, data communication, data storage and access, and requires efficient algorithms.

Thesis Supervision:

Ph.D. Supervision: VandanaMohindru “Prevention of Node Clone Attack: Secure and Energy Efficient Algorithms in WSN” Awarded in 2019.

Post Graduate Thesis (M.Tech.) Supervision: