I am currently a PhD candidate in the Department of Computer Science at Virginia Tech, where I work as a Graduate Research Assistant in the Complex Network and Security Research (CNSR) Lab under the supervision of Dr. Wenjing Lou. My research interests lie in machine learning and cybersecurity and address the emerging security challenges in cyber-physical systems, particularly connected and autonomous vehicles. I am passionate about designing advanced intrusion detection systems and developing robust multimodal fusion-based perception systems. I am also enthusiastic about studying machine learning vulnerabilities and creating resilient solutions to enhance the safety and reliability of autonomous systems.

Education

• Ph.D in Computer Science, Virginia Tech (Ongoing)
• M.S. in Computer Engineering, Florida International University, 2020
• B.S. in Electrical and Electronic Engineering, Bangladesh University of Engineering & Technology, 2016

News

• [July 2024]: Presented the VehiGAN paper at IEEE ICDCS 2024 in New Jersey, USA.
• [July 2024]: Awarded NSF Travel Grant to attend IEEE ICDCS 2024.
• [June 2024]: Attended the CyberTruck Challenge 2024 in Warren, Michigan, for hands-on experience in automotive cybersecurity.
• [April 2024]: Paper accepted: “VehiGAN: Generative Adversarial Networks for Adversarially Robust V2X Misbehavior Detection Systems” at IEEE ICDCS 2024.
• [July 2023]: Paper accepted: “CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level” at IEEE Internet of Things Journal.
• [May 2023]: Started Summer internship at Qualcomm Inc.
• [March 2023]: Paper accepted: “MS-PTP: Protecting Network Timing from Byzantine Attacks” at ACM WiSec 2023.
• [February 2023]: Paper accepted: “CANtropy: Time Series Feature Extraction-Based Intrusion Detection Systems for Controller Area Networks” at VehicleSec 2023. Best paper runner-up award!
• [Apr 2022]: Paper accepted: “CANShield: Signal-based Intrusion Detection for Controller Area Networks” at escar USA 2022.
• [May 2022]: Started Summer internship at Qualcomm Inc.
• [Aug 2021]: Paper accepted: “iAttackGen: Generative Synthesis of False Data Injection Attacks in Cyber-physical System” at IEEE CNS 2021.
• [May 2021]: Paper accepted: “iDDAF: An Intelligent Deceptive Data Acquisition Framework for Secure Cyber-physical Systems” at EAI SecureComm 2021.
• [Apr 2021]: Paper accepted: “DDAF: Deceptive Data Acquisition Framework against Stealthy Attacks in Cyber-Physical Systems” at IEEE COMPSAC 2021.
• [Mar 2021]: Paper accepted: “False Relay Operation Attacks in Power Systems with High Renewables” at IEEE PESGM 2021.
• [Jan 2021]: Started Ph.D. in Computer Science at Virginia Tech; joined CNSR Lab as a Gradudate Research Assistant.
• [Dec 2020]: Defended MS thesis: “Deception Defense against Stealthy Attacks in Power Grids.”
• [Aug 2020]: Paper accepted: “Machine Learning in Generation, Detection, and Mitigation of Cyberattacks in Smart Grid: A Survey” at NAPS 2020.
• [Apr 2020]: Paper accepted: “G-IDS: Generative Adversarial Networks Assisted Intrusion Detection System” at IEEE COMPSAC 2020.
• [May 2019]: Poster accepted: “False Data Injection Attacks against Contingency Analysis in Power Grids: Poster” at the ACM WiSec 2019.
• [Mar 2019]: Presented a poster on “False Data Injection Attacks against Contingency Analysis in Power Grids” at the FICS Cybersecurity Conference, UF.
• [Jan 2019]: Started MSc in Computer Engineering at Florida International University.
• [Sep 2017]: Joined EGCB Ltd. as an Assistant Engineer.
• [Dec 2016]: Paper accepted: “Stability Analysis of Grid-connected PV Array Under Maximum Power Point Tracking” at IEEE ICECE, Dhaka 2016.
• [May 2016]: Joined Uttara University, Dhaka as a Lecturer in EEE.
• [Feb 2016]: Defended BSc thesis: “Transient Stability Analysis of Smart Grid with Impacts of Distributed Generation.”
• [Feb 2011]: Started BSc in Electrical and Electronic Engineering at Bangladesh University of Engineering and Technology.