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Saikat Das

Faculty Member

Dr. Saikat Das

Biography

I am an avid coder and enthusiastic educator with a passion for teaching computer science. My love for programming, particularly in languages like Python, drives me to continually explore new technologies and methodologies. Outside the classroom, I enjoy a variety of outdoor activities including hiking and fishing, which offer a refreshing balance to my technical pursuits.

I have a deep appreciation for travel and adventure, often embarking on cross-country road trips to explore new places, sample diverse cuisines, and meet interesting people. These experiences enrich my perspective and fuel my creativity. Above all, I cherish spending quality time with my family, sharing moments of joy, and creating lasting memories together. My multifaceted interests not only keep me engaged but also inspire me to bring a well-rounded approach to my teaching and personal life.

Education

PhD, University of Memphis, 2021

Major: Computer Science

MS, University of Memphis, 2016

Major: Computer Science

BS, Khulna University of Engineering & Technology, 2011

Major: Computer Science and Engineering

Teaching

CS 1400

Fundamentals of Programming, Fall 2024

CS 4120

Security Vulnerability Analysis, Fall 2024

CS 2550

Web Programming I, Fall 2024

CS 1400

Fundamentals of Programming, Summer 2024

CS 2550

Web Programming I, Summer 2024

CS 1400

Fundamentals of Programming, Spring 2024

CS 1400

Fundamentals of Programming, Spring 2024

CS 2550

Web Programming I, Spring 2024

Presentations

Das, Saikat (Presenter Only), Guest Lecture, "Detecting and Explaining Distributed Denial of Service Attack in Cyber Space using Explainable AI", Siddaganga Institute of Technology, Chennai, India. (April 25, 2024)
Das, Saikat (Presenter & Author), 2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC), "State of the art_ Security Testing of Machine Learning Development Systems", IEEE, Las Vegas, NV. (January 10, 2024)
Das, Saikat (Presenter & Author), 2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC), "Trusting Classifiers with Interpretable Machine Learning Based Feature Selection Backpropagation", IEEE, Las Vegas, NV. (January 10, 2024)
Das, Saikat , Research Talk, "Detecting and Explaining Distributed Denial of Service Attack in Cyber Space using Explainable AI", Westminster College, Salt Lake City, Utah. (February 15, 2023)
Das, Saikat (Presenter & Author), 2022 IEEE Symposium Series on Computational Intelligence (SSCI), "Securing IoT devices using Ensemble Machine Learning in Smart Home Management System", IEEE, Singapore City, Singapore. (December 7, 2022)

Scholarly/Creative Works

Saha, Sajal , Das, Saikat , (2025) "ConvLSTMTransNet: A Hybrid Deep Learning Approach for Internet Traffic Telemetry" . Virtual: IEEE.
Das, Raktim Ranjan, Das, Saikat , (2025) "Smart Shield_ Enhancing IoT Security Against DDoS Attacks Using AI Techniques" . Berkely: IEEE.
Das, Saikat , Krishnamurthy, Bhargavi , Das, Raktim Ranjan , Shiva, Sajjan , (2024) "State of the art_ Security Testing of Machine Learning Development Systems" . Las Vegas, NV: IEEE. https://doi.org/10.1109/CCWC60891.2024.10427598
Das, Saikat , Das, Raktim Ranjan , Sheldon, Frederick T, Shiva, Sajjan , (2024) "Trusting Classifiers with Interpretable Machine Learning Based Feature Selection Backpropagation" . Las Vegas, NV: IEEE. https://doi.org/10.1109/CCWC60891.2024.10427828
Hossain, Mazharul , Das, Saikat , Shiva, Sajjan , (2023) "Explainability of Artificial Intelligence Systems_ A Survey." . Washington DC: IEEE. https://doi.org/10.1109/ISNCC58260.2023.10323642
Das, Saikat , Hossain, Mazharul , Shiva, Sajjan , (2023) "Requirements Elicitation and Stakeholder Communications for Explainable Machine Learning Systems_ State of the Art" . Amman: IEEE. https://doi.org/10.1109/ICIT58056.2023.10225934