About me

I am a Research Assistant Professor at Old Dominion University’s Commonwealth Cyber Initiative Coastal Virginia, working on Generative AI security, cybersecurity, critical infrastructure protection, and trustworthy embedded AI. Previously I was a Presidential Postdoctoral Fellow at Virginia Tech, specializing in secure, privacy-aware, and explainable AI for critical infrastructure.

My research spans hybrid AI — including LLMs, agentic AI, computer vision, and time-series forecasting — to secure AI-enabled systems, support anomaly detection, and enable robust decision-making in cyber-physical environments.

Book a 30-minute meeting to chat.

Research interests

Security and trustworthiness of LLMs and agentic AI; cybersecurity; trustworthy and secure embedded AI for cyber-physical systems; anomaly detection and AI assurance.

Areas of expertise

  • Critical infrastructure and control systems — SCADA and ICS security, water and wastewater treatment, OT monitoring, cyber-physical resilience
  • Cybersecurity — intrusion detection and automated response, IoT and cross-layer threat detection, adversarial machine learning, threat-intelligence grounding (MITRE ATT&CK, CVE/NVD)
  • Artificial intelligence — security and trustworthiness of LLMs and agentic systems, AI assurance and explainability, anomaly detection, time-series forecasting, generative modeling
  • Digital media forensics — detection and source attribution of synthetic and adversarially manipulated imagery
  • Telecommunications — LTE radio access network rollout, operations, and monitoring automation

Current work

I am Co-Investigator on a Commonwealth Cyber Initiative program developing agentic AI for scalable, cost-effective protection of critical infrastructure. Recent work includes H-CLAIR, a two-tier cross-layer intrusion detection and response framework that pairs an always-on lightweight model ensemble with an LLM verifier grounded in MITRE ATT&CK and CVE/NVD, plus a constrained-MDP response agent — evaluated on ToN_IoT, SWaT, and WADI.

Appointments

  • Research Assistant Professor, Old Dominion University — December 2025 to present
  • Presidential Postdoctoral Fellow, Virginia Tech — January 2025 to December 2025
  • Graduate Research Assistant, Virginia Tech — August 2019 to December 2024

Education

  • Ph.D., Computer Engineering, Virginia Tech, 2024 — dissertation on AI methods for anomaly detection in cyber-physical systems, chaired by Feras A. Batarseh
  • M.S., Computer Engineering, Virginia Tech, 2022
  • B.S., Electrical and Electronic Engineering, BUET, Dhaka, 2015

News

December 2025Old Dominion University becomes first university to earn NSA Cybersecurity Validation :trophy:

February 2025 — Joining as a Presidential Postdoctoral Fellow at Virginia Tech, affiliated with CCI and BSE/ECE. :sparkles:

November 2024Successfully defended Ph.D. dissertation from Virginia Tech :mortar_board: :tada: :trophy:

November 2024Attended AAAI Fall-24 Symposium :sparkles:

October 202411 recent cyber attacks on the water and wastewater sector :lock: :shield:

May 2024New partnership uses AI to bolster efficiency, cybersecurity for water treatment :droplet:

October 20222022 Intelligent Water Systems Challenge — Winning Solution by Virginia Tech and DC Water: Realtime Management of Wastewater Treatment Plants Using AI :trophy:

September 2022A3 Lab and Commonwealth Cyber Initiative (CCI) partner with DC Water for Tunnel Water Level Forecasting :sparkles:

June 2022Presented MAA paper in 2022 SDSS Conference :man_teacher:

Talks and presentations

SDSS 2022Model-Agnostic Scoring Methods for Artificial Intelligence Assurance, Symposium on Data Science and Statistics, June 2022. Model-agnostic pipelines for scoring explainability, safety, and security of AI systems. Abstract

Open-source

  • Context-Driven Forecasting — dataset and reproducible code for the context-driven forecasting study
  • AgriVision — dataset and benchmark framework for synthetic/adversarial image detection in agriculture

Elsewhere

Google Scholar · LinkedIn · GitHub · msikder@odu.edu

Publications appear under M. N. K. Sikder; pre-2016 work under N. K. Sikder.