Profile | Utah Valley University

Faculty Member

Dr. Saikat Das

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Phone: (801) 863-8218
Mail Stop: 129
https://outlook.office365.com/book/[email protected]/
Curriculum Vitae: Saikat Das CV

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 2025

CS 2420

Introduction to Algorithms and Data Structures, Fall 2025

CS 2550

Web Programming I, Fall 2025

CS 1400

Fundamentals of Programming, Summer 2025

CS 2550

Web Programming I, Summer 2025

CS 1400

Fundamentals of Programming, Spring 2025

CS 1400

Fundamentals of Programming, Spring 2025

CS 2550

Web Programming I, Spring 2025

Presentations

Das, Saikat (Presenter Only), Guest Lecture, "Preventing Ransomeware Bangladesh & India", Global Engagement, UVU, Orem. (October, 2024)

Das, Saikat (Presenter & Author), 2024 IEEE 15th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), "Smart Shield_ Enhancing IoT Security Against DDoS Attacks using AI techniques", IEEE, Berkeley, CA. (October 25, 2024)

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)

Scholarly/Creative Works

Das, Raktim Ranjan, Das, Saikat , (2025) "Smart Shield_ Enhancing IoT Security Against DDoS Attacks Using AI Techniques" . Berkely: IEEE. https://doi.org/10.1109/IEMCON62851.2024.11093537

Ratul, Qudrat E Alahy , Zaman, Eshita , Das, Saikat , (2025) "The Role of AI in Transforming Education_ A Systematic Review of Trends" . Orem, UT: IEEE. https://doi.org/10.1109/IETC64455.2025.11039329

Rabbi, Fazla , Das, Saikat , (2025) "A comparative analysis of machine learning techniques for detecting probing attack with SHAP algorithm" . Expert Systems with Applications by Pergamon. https://doi.org/10.1016/j.eswa.2025.126718

Saha, Sajal , Das, Saikat , (2025) "ConvLSTMTransNet: A Hybrid Deep Learning Approach for Internet Traffic Telemetry" . Virtual: IEEE. https://doi.org/10.1109/VCC63113.2024.10914473

Carvalho, Glaucio , Saha, Sajal , Das, Saikat , (2025) "A Hybrid Deep Learning Model for Adversarially Resilient Internet Traffic Prediction" . http://dx.doi.org/10.2139/ssrn.5342017

Saha, Sajal , Das, Saikat , (2025) "ConvLSTMTransNet: A Hybrid Deep Learning Approach for Internet Traffic Telemetry" . Ottawa: IEEE.

Awards

Global Spotlight Award

Global Engagement, UVU - October, 2024

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

INFO 4135

Data Security Analytics, Fall 2023

CS 1400

Fundamentals of Programming, Fall 2023

CS 1400

Fundamentals of Programming, Fall 2023

CS 1400

Fundamentals of Programming, Summer 2023

CS 2550

Web Programming I, Summer 2023

CS 1400

Fundamentals of Programming, Spring 2023

CS 1400

Fundamentals of Programming, Spring 2023

CS 2550

Web Programming I, Spring 2023

CS 1400

Fundamentals of Programming, Fall 2022

CS 1400

Fundamentals of Programming, Fall 2022

CS 2550

Web Programming I, Fall 2022

CS 1400

Fundamentals of Programming, Summer 2022

CS 2550

Web Programming I, Summer 2022

CS 1410

Object Oriented Programming, Spring 2022

CS 1410

Object Oriented Programming, Spring 2022

CS 2550

Web Programming I, Spring 2022

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)

Das, Saikat , Array, Array , (2024) "Ensembling supervised and unsupervised machine learning algorithms for detecting distributed denial of service attacks" (Issue: 3, vol. 17). MDPI Algorithms. https://doi.org/10.3390/a17030099

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

Krishnamurthy, Bhargavi , Das, Saikat , Shiva, Sajjan G, (2023) "Handling Node Discovery Problem in Fog Computing using Categorical51 Algorithm With Explainability" . Seattle, WA: IEEE. https://doi.org/10.1109/AIIoT58121.2023.10174564

Das, Raktim Ranjan , Krishnamurthy, Bhargavi , Das, Saikat , (2022) "Securing IoT devices using Ensemble Machine Learning in Smart Home Management System" . Singapore City: IEEE. https://doi.org/10.1109/SSCI51031.2022.10022068

Krishnamurthy, Bhargavi , Shiva, Sajjan G, Das, Saikat , (2022) "MVE-based Reinforcement Learning Framework with Explainability for improving Quality of Experience of Application Placement in Fog Computing" . Seattle, WA: IEEE. https://doi.org/10.1109/AIIoT54504.2022.9817331

Das, Saikat , Shiva, Sajjan G, (2022) "Machine Learning application lifecycle augmented with explanation and security" . New York: IEEE. https://doi.org/10.1109/UEMCON53757.2021.9666619

Das, Saikat , Saha, Sajal , Priyoti, Annita Tahsin , Roy, Etee Kawna , (2021) "Network intrusion detection and comparative analysis using ensemble machine learning and feature selection" (Issue: 4, vol. 19). IEEE Transactions on Network and Service Management. https://doi.org/10.1109/TNSM.2021.3138457

Das, Saikat , Agarwal, Namita , Shiva, Sajjan G, (2021) "DDoS Explainer using Interpretable Machine Learning" . Vancouver, BC: IEEE. https://doi.org/10.1109/IEMCON53756.2021.9623251

Ashrafuzzaman, Mohammad , Das, Saikat , Chakhchoukh, Yacine , Shiva, Sajjan , Sheldon, Frederick T., (2020) "Detecting stealthy false data injection attacks in the smart grid using ensemble-based machine learning" (vol. 97). Computers & Security. https://doi.org/10.1016/j.cose.2020.101994