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Interim Engineering Intern

Qualcomm Incorporated

Executed real-world adversarial attacks on traffic sign detection systems. Investigated transferability of adversarial examples across diverse object detection models. Developed DVC-based pipelines for dataset management.

• Adversarial robustness evaluation
• Transferability analysis
• DVC-based experiment pipelines

Interim Engineering Intern

Qualcomm Incorporated

Researched and evaluated generative AI models (GANs) to synthesize realistic yet fake V2X messages. Designed a GAN-based misbehavior detection system for anomalous basic safety messages (BSMs).

• GAN-based V2X security
• Misbehavior detection systems

Graduate Student Researcher

Complex Network and Security Research (CNSR) Lab, Virginia Tech

Ph.D. research integrating cybersecurity, machine learning, and CPS to develop robust, resilient, and trustworthy AI for connected and autonomous vehicles. Designed intrusion detection systems for CAN and V2X networks, investigated multimodal fusion attacks, and developed unified defense frameworks.

• Intrusion detection systems for CAN and V2X networks
• Multimodal fusion attacks on autonomous perception
• Unified defense against adversarial and backdoor attacks

Graduate Student Researcher

Analytics for Cyber Defense (ACyD) Lab, Florida International University

M.S. research focused on securing cyber-physical systems, particularly detecting and mitigating stealthy threats in the smart grid. Developed threat synthesizer combining formal methods and GANs, and proposed deception-based moving target defense.

• Threat synthesizer with formal methods and GANs
• Deception-based moving target defense
• GAN-based defense models for network security

Assistant Engineer (Electrical)

Electricity Generation Company Bangladesh Ltd.

Operated a 2x120 MW gas turbine power plant by coordinating with the national load dispatch center. Developed operational and maintenance schedules to minimize downtime.

• Power plant operations
• Maintenance scheduling

Lecturer, Department of Computer Science

Uttara University

Taught undergraduate courses: Electrical Circuits, Basic Electronics, Digital Logic Design, and Microprocessor Interfacing. Led corresponding lab sessions.

• Electrical Circuits
• Digital Logic Design
• Microprocessor Interfacing

PhD

Virginia Tech

Computer Science

• Dissertation: Toward Trustworthy Cyber-physical Systems: Robust Machine Learning for Secure Sensing, Perception, and Control
• Advisor: Dr. Wenjing Lou

MS

Florida International University

Computer Engineering

• Thesis: Deception Defense against Stealthy Attacks in Power Grids
• Advisor: Dr. Mohammad Ashiqur Rahman

BSc

Bangladesh University of Engineering and Technology

Electrical and Electronic Engineering

• Thesis: Transient Stability Analysis of Smart Grids with Impacts of Distributed Generation
• Advisor: Dr. Md Forkan Uddin

Amazon Fellowship

Amazon-VT Initiative for Efficient and Robust Machine Learning

Fellowship for research in efficient and robust machine learning

Best Paper Runner Up Award

Symposium on Vehicle Security and Privacy (VehicleSec)

Awarded for paper on CANtropy: Time Series Feature Extraction-Based Intrusion Detection Systems for Controller Area Networks

Fellowship for Graduate Student First-Author Papers

Graduate School, Virginia Tech

Recognition for first-author publications

Bangladesh-Sweden Trust Fund Scholarship

Bangladesh-Sweden Trust Fund

Scholarship for graduate studies

CANShield

Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level

• Published in IEEE Internet of Things Journal (Impact Factor: 10.6)
• Signal-level intrusion detection for CAN networks

VehiGAN

Generative Adversarial Networks for Adversarially Robust V2X Misbehavior Detection Systems

• Published in ACM Transactions on Cyber-Physical Systems
• GAN-based misbehavior detection for V2X networks

NoiSec

Unified Defense Against Adversarial and Backdoor Attacks Using Noise

• Accepted at ESORICS 2025 (Acceptance rate: 17%)
• Unified defense framework for multimodal systems