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Name Saikat Das
Email saikat.bdg@gmail.com (Personal), sdas1@memphis.edu (School), saikat@simplysaikat.com
Designation Graduate Research Assistant (Ph.D. Candidate)
Experience 7 Years
Contact (901) 265-4415
Resume Academic | Industry

Experiences...

Graduate Research Assistant at The University of Memphis
Instructor at Southwest Tennessee Comunity College (2018-2019)

Dec 2020

Doctorate of Philosophy in Computer Science

The University of Memphis

Cyber Security, Intrusion Detection System, Anomaly Detection, Machine Learning, Interpretable ML, Moving Target Defense, Cloud Computing, Run Time Monitoring System, etc. See Publications

December 2016

Masters of Science in Computer Science

The University of Memphis

Collaborative Runtime Monitor as Intrusion Detection System

May 2011

Bachelor of Science in Computer Science & Engineering

Khulna University of Engineering & Technology, Bangladesh

Component Criticality Approach towards Minimizing the Risks of System Failure.

Southwest Tennessee Comunity College

Instructor on Cyber Defense program (2018-2019)

Digital Forensics, Network Security, Principle of Information Assurance

Samsung Electronics

2013-2014, Senior Software Engineer

Java add on applications for Samsung feature phones

Evatix LTD

2011-2013, Software Engineer

Web applications, web solutions, eCommerce

Research Interests...

I am an active member of GTCS Lab under the supervison of Dr. Sajjan Shiva. I also work with my other two co-supervisors Dr. Federick T. Sheldon and Dr. Deepak Venugopal in multiple research works. My reserach interests include but are not limited to, Interpretable Machine Learning, Cyber Security, Intrusion Detection System, Anomaly Detection, Machine Learning, Moving Target Defense, Cloud Computing, Run Time Monitoring System, etc.

Recent Publications....

  1. Das, Saikat, et al. "Network Intrusion Detection using Natural Language Processing and Ensemble Machine Learning" 2020 IEEE Symposium Series on Computational Intelligence. IEEE, 2020.
  2. Das, Saikat, et al. "Taxonomy and Survey of Interpretable Machine Learning Method" 2020 IEEE Symposium Series on Computational Intelligence. IEEE, 2020.
  3. Agarwal, Namita and Saikat Das "Interpretable Machine Learning Tools: A Survey" 2020 IEEE Symposium Series on Computational Intelligence. IEEE, 2020.
  4. Ashrafuzzaman, Mohammad, Saikat Das, et al. "Elliptic Envelope Based Detection of Stealthy False Data Injection Attacks in Smart Grid Control Systems" 2020 IEEE Symposium Series on Computational Intelligence. IEEE, 2020.
  5. Das, Saikat, et al. "Empirical Evaluation of the Ensemble Framework for Feature Selection in DDoS Attack." 2020 7th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/2020 6th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom). IEEE, 2020.
  6. Ashrafuzzaman, Mohammad, Saikat Das, Yacine Chakhchoukh, Salahaldeen Duraibi, Sajjan Shiva, and Frederick T. Sheldon. "Supervised Learning for Detecting Stealthy False Data Injection Attacks in the Smart Grid" In Proceedings of the International Conference on Security and Management, SAM'20, July 2020, Las Vegas, USA.
  7. Ashrafuzzaman, Mohammad, Saikat Das, Yacine Chakhchoukh, Sajjan Shiva, and Frederick T. Sheldon. ""Detecting stealthy false data injection attacks in the smart grid using ensemble-based machine learning." Computers & Security 97 (2020): 101994.
  8. Das, Saikat, Deepak Venugopal, and Sajjan Shiva. "A Holistic Approach for Detecting DDoS Attacks by Using Ensemble Unsupervised Machine Learning." Future of Information and Communication Conference. Springer, Cham, 2020.
  9. Das, Saikat, et al. "DDoS Intrusion Detection Through Machine Learning Ensemble." 2019 IEEE 19th International Conference on Software Quality, Reliability and Security Companion (QRS-C). IEEE, 2019.
  10. Das, Saikat, Ahmed M. Mahfouz, and Sajjan Shiva. "A Stealth Migration Approach to Moving Target Defense in Cloud Computing." Proceedings of the Future Technologies Conference. Springer, Cham, 2019.
  11. Das, Saikat, and Sajjan Shiva. "CoRuM: collaborative runtime monitor framework for application security." 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion). IEEE, 2018.
  12. Mesbah-Ul-Awal, Md, Muhammad Sheikh Sadi, and Saikat Das. "Component Criticality Analysis: An Efficient Approach towards Minimizing the Risks of System Software Failure." Physical Science International Journal (2014): 231-245.
  13. Mesbah-Ul-Awal, Md, and Saikat Das. "Component Criticality Approach towards Minimizing the Risks of System Failure." 2013 Third International Conference on Advanced Computing and Communication Technologies (ACCT). IEEE, 2013.

About Me...

Self motivation, adaptive interpersonal skill, proficient professional development skill, teaching and research experience.

My story begins from a small village "Badarganj", Rangpur, Bangladesh where the people are living under proverty level. I'm born and brought up there. I completed my elementary and seconday school as a top scorer. Notre Dame is one of the prestigious colleges in Bangladesh where I have completed my higher education. Then, Khulna University of Engineering & Technology is one of my heaven places that guided me to confident on my technical skills and I graduated as a Computer Engineer in 2011. My self motivation and adaptive development skill at Samsung Electronics guided me towards the higher education in USA. Towards pusuing my Ph.D degree at The University of Memphis, I have completed my Masters of Science degree from here. Currently, I am working on my dissertation and planning to graduate by December 2020. In between my graduate study, I worked (2018-2019) as a fulltime faculty member for Southwest Tennessee Community College to enhance the Cyber Defense program. My testimonal, professional expertise and self guided motivation lead me to my ultimate desired place where I feel a pure serenity of living. I love playing Badminton, Cricket and doing Photography, Traveling is my dream. I wish, one day I will share my travel history and biography.

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