AARC Lab

AI, Autonomy, Resilience, Control Lab

Principal Investigator

Rahul Bhadani

Rahul Bhadani

Assistant Professor

Department of Electrical and Computer Engineering

University of Alabama in Huntsville

Dr. Bhadani's research focuses on quantum information science & engineering with applications to cyber-physical systems, intelligent transportation, and resilient communication networks. He leads AARC Lab's mission to tackle the problems of societal-scale using emerging communication and computing technologies.

rahul.bhadani@uah.edu

PhD Students

Shihab Uddin

Md. Shihab Uddin

PhD Student (1st Year)

Research Focus: Autonomous Vehicle Communication Protocols

Shihab is developing novel V2X communication frameworks for enhanced safety in autonomous vehicle networks. His work combines machine learning with network optimization.

shihab.uddin@uah.edu | Homepage
Md Nazmus Shakib

Nazmus Shakib

PhD Student (1st Year)

Research Focus: Multimodal Data Fusion for Intelligent Transportation Systems

Nazmus is exploring multimodal data fusion frameworks to enhance perception, decision-making, and coordination in intelligent transportation systems. His research focuses on integrating heterogeneous data sources such as cameras, LiDAR, and other sensing modalities through machine learning and optimization techniques to improve safety, efficiency, and situational awareness in smart mobility environments.

E-mail: nazmus.shakib@uah.edu | Website: TBA
Md Ashraf Hossain Ifty

Md Ashraf Hossain Ifty

PhD Student (1st Year)

Research Focus: Quantum Communication and Sensing

Md Ashraf Hossain Ifty’s research focuses on the optimal design of quantum receivers and communication systems to enhance information transfer and sensing performance. His work aims to approach fundamental quantum limits under realistic noise and turbulence conditions.

E-mail: mi1497@uah.edu | Website: TBA
Md Saiful Islam

Md Saiful Islam

Graduate Research Assistant, PhD Student (1st Year)

Research Focus: Power System Control and Optimization

Md Saiful Islam’s research focuses on applying nonlinear control theory and machine learning to microgrids, smart grids, multi-area power systems, and grid-connected systems. His work aims to enhance system stability, robustness, and optimize power flow for improved performance and reliability.

E-mail: mi1499@uah.edu | Website: Google Scholar
Md Saiful Islam

Zhehao Yi

Graduate Research Assistant, PhD Student (1st Year)

Research Focus: Variational Quantum Algorithm, Quantum Circuits and Quantum Optimization

Zhehao Yi’s research focuses on improving trainability and expressibility of quantum systems using a combination of abstract mathematical framework such as Lie Algebra and classical control theory such as PID controller and dynamical systems .

E-mail: zhehao.yi@uah.edu | Website: Google Scholar

MS Students

Trevor McClain

Trevor McClain

MS Student, Computer Engineering (Thesis Track)

Thesis Title: An Evaluation of the IDM Car-Following Model: Simulation and a Dynamical Systems Perspective

Trevo investigates determinism and uncertainty quantification in cyber-physical systems from dynamical systems perspective. His thesis work studied IDM car-following model and Followerstopper congestion controller with delay for their dynamical systems properties.

Graduation: Fall 2025

Undergraduate Students

Emily Taylor

Emily Taylor

Undergraduate Research Assistant

Project: Sensor Calibration for Autonomous Systems

Emily is working on developing automated calibration procedures for multi-sensor autonomous vehicle platforms as part of her senior capstone project.