Assistant Professor · Computer Science · NIU

Cybersecurity for Cyber‑Physical & IoT Systems

I study and teach security and resiliency of smart‑building HVAC & air‑quality control, smart‑home devices, and unmanned aerial vehicles (UAVs). I lead projects that blend TinyML anomaly detection, adversarial testing, and transformer‑based adaptive defense.

At a glance

  • 🎓 Tenure‑track Assistant Professor, Northern Illinois University
  • 🛡️ Core interests: CPS/IoT security, smart buildings, smart homes, UAVs
  • 🧪 Ongoing frameworks: SHATTER, STRENGTH, SPARE, and SENTINEL
  • 📚 Courses: CYBR 531 (Pentesting), IT 3071C (Network Security)

About

I am an Assistant Professor in the Department of Computer Science at Northern Illinois University (NIU). Previously, I served as a Visiting Assistant Professor at the University of Cincinnati’s School of Information Technology. My research centers on the security and resiliency of cyber‑physical systems (CPS) and the Internet of Things (IoT), with emphasis on smart‑building HVAC and air‑quality control, smart‑home ecosystems, and UAVs.

My group explores end‑to‑end defenses that span device, edge, and cloud, integrating TinyML‑based anomaly detection, reinforcement‑learning adversarial testing, and transformer‑based adaptive defense tailored for CPS/IoT environments.

Research Focus

Smart‑Building Security

Threat modeling and defenses for HVAC/air‑quality control and building automation systems; anomaly detection at the edge.

Smart‑Home & IoT

Graph‑based attack analysis for home IoT; securing device interactions and preventing unauthorized replications in PWAs.

UAV & CPS Resiliency

Robust sensing and control under adversarial conditions; adaptive, transformer‑based defenses.

TinyML & RL for Security

Lightweight on‑device anomaly detection with TinyML; reinforcement‑learning adversarial testing and red‑teaming.

Projects & Frameworks

Selected initiatives my group leads or contributes to.

SENTINEL

Secure Edge‑Native Trust for IoT Networks in Environmental Logistics — a DoD‑oriented proposal integrating TinyML, adversarial testing, and adaptive defense for facilities.

  • TinyML edge analytics for HVAC & sensors
  • RL‑driven adversarial testing
  • Transformer‑based adaptive defense

STRENGTH

Graph theory‑based attack analysis for smart‑home systems; assessing robustness and identifying false‑data injection vectors.

SPARE

Securing Progressive Web Applications against unauthorized replications; evaluating replication attack vectors and defenses.

SHATTER

Safety‑aware, holistic attack/defense testbed for CPS and IoT environments.

Selected Publications

A short list; full list in my CV.

  1. STRENGTH: A Graph Theory‑Based Attack Analysis Approach for Smart‑Home Systems. (manuscript / under review)

  2. SPARE: Securing Progressive Web Applications Against Unauthorized Replications. (project manuscript)