Computer Science

Gokul Kannan Sadasivam

Associate Professor

Solid technical foundation in Network Security and Data Science, acquired through a doctorate and a double master's degree, in addition to ten plus years of experience in teaching/research/industry roles. Research skills/interests in network forensics, network attacks, IoT botnets, and data science. Published several papers in reputed conferences and journals. Good team player with excellent communication/interpersonal skills. Highly motivated to learn new enhancements in technology and a flair for creativity.


  • PhD (Computer Science and Engineering), BITS Pilani 2021
  • M.Sc. (Computer Science), San Francisco Bay University 2012
  • M.Sc. (Computer Engineering), National University of Singapore 2007
  • B.E., College of Engineering Guindy, Anna University 2004


  • Associate Professor, PES University, July 2022-Till Date
  • Associate Professor, Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology, April 2021-July 2022
  • Guest Faculty, Birla Institute of Technology & Science, Pilani (WILP, Bangalore Center), December 2020-April 2021
  • Academic Advisor (volunteer), Alpha GK Matriculation School, April 2020
  • Assistant Professor, Birla Institute of Technology & Science, Pilani, September 2012-Dec. 2018
  • .NET Software Engineer, Sopra Steria Asia Pte Ltd, January 2008-December 2009
  • Systems Engineer, Transit Link Pte Ltd, May 2007-January 2008
  • Machine Intelligence
  • Blockchain
  • Computer Networks

Research Interest

  • Network Forensics
  • Network Attacks
  • IoT Botnets
  • Data Science


  • Honeypot Challenges and Countermeasures, Symposium on Information Security, Hyderabad, 2013


  • Efficient Detection of Malwares using Low-Interaction Honeypots, Intelligent systems, Computing and Information Technology (NCICIT), Anna University, Trichy, 2014


  • Detection of Severe SSH Attacks Using Honeypot Servers and Machine Learning Techniques, Journal of Software Networking, River Publishers, 2017, doi:10.13052/jsn2445-9739.2017.005


  • Honeynet Data Analysis and Distributed SSH Brute-Force Attacks, Towards Extensible and Adaptable Methods in Computing, Springer, 2018 (Book Chapter)