Lalit Kulkarni has completed his Bachelers in Computer Engineering from Govt. College , Nanded and Masters in Computing from Robert Gordon University, UK. He is doing his research in Security for Delay Tolerant Networks. He has published 16 research papers



    • Ph.D. (Submitted)

    • M.S. (Computing)

    • B.E. (Computer Science & Engineering)


Area of Research

    • Network Security

Research Papers:

    • Research Papers 1 : (2019) Lalit Kulkarni, Jagdish Bakal, Urmila Shrawankar, “Energy Based Incentive Scheme for Secure Opportunistic Routing in Delay Tolerant Networks,” Springer Journal of Computing, ISSN: 1436-5057, 27 June 2019, pp 1–19 (Springer SCI Indexed)

    • Research Papers 2 : (2019) Lalit Kulkarni, Jagdish Bakal, Urmila Shrawankar, “Distributed Misbehavior Detection System for Delay Tolerant Networks”; International Journal of Innovative Technology and Exploring Engineering ISSN: 2278-3075, Volume-8, Issue-9S3, July 2019 (Scopus)

    • Research Papers 3 : (2018) Pushkar Jagtap, Lalit Kulkarni, “Social-Energy based techniques in Delay Tolerant Network,” 2018 International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS), Institute of Engineering and Management, Kolkata, India February 23th-25th , 2018, Springer. vol 814. Pp. 531-538 ISBN 978-981-13-1501-5

    • Research Papers 4 : (2018) Pushkar Jagtap, Lalit Kulkarni, “SECBAR: Social Energy Credit-BAsed Router in Delay Tolerant Network,” 15th International Conference on Distributed Computing and Internet Technology, Bhubaneshwar, India Jan 10th – 13th, 2019, Springer.



1. Title: Unknown Attack Detection using Evolution Identification on Streaming Network Data

Patent File No: 1221/MUM/2014

Published Date: 28/03/2014

Patent Authority: Government of India,

2. Title: System for Detecting Vacant Parking Space

Patent File No: 3102/MUM/2015

Published Date: 11/09/2015

Patent Authority: Government of India



    • Teaching experience : 17.5 Years

    • Industry experience : 1.5 Year


Computer Network & Technology, Artificial Intelligence, Advanced Machine Learning