Scholar
Md Hasan Shahriar
Google Scholar ID: TcCzjTQAAAAJ
PhD Candidate, CS@Virginia Tech
Citations & Impact
Citations
425
H-index
8
i10-index
8
Publications
20
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- 1. Presented paper 'NoiSec' at ESORICS 2025
- 2. Paper accepted: 'VehiGAN: Generative Adversarial Networks for Adversarially Robust V2X Misbehavior Detection Systems' at ACM Transactions on Cyber-Physical Systems (TCPS)
- 3. Paper accepted: 'Let the Noise Speak: Harnessing Noise for a Unified Defense Against Adversarial and Backdoor Attacks' at ESORICS 2025
- 4. Paper accepted: 'VehiGAN: Generative Adversarial Networks for Adversarially Robust V2X Misbehavior Detection Systems' at IEEE ICDCS 2024
- 5. Paper accepted: 'CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level' at IEEE Internet of Things Journal
- 6. Paper accepted: 'MS-PTP: Protecting Network Timing from Byzantine Attacks' at ACM WiSec 2023
- 7. Paper accepted: 'CANtropy: Time Series Feature Extraction-Based Intrusion Detection Systems for Controller Area Networks' at VehicleSec 2023, Best paper runner-up award!
- 8. Paper accepted: 'CANShield: Signal-based Intrusion Detection for Controller Area Networks' at ESCAR USA 2022
- 9. Paper accepted: 'iAttackGen: Generative Synthesis of False Data Injection Attacks in Cyber-physical System' at IEEE CNS 2021
- 10. Paper accepted: 'iDDAF: An Intelligent Deceptive Data Acquisition Framework for Secure Cyber-physical Systems' at EAI SecureComm 2021
- 11. Paper accepted: 'DDAF: Deceptive Data Acquisition Framework against Stealthy Attacks in Cyber-Physical Systems' at IEEE COMPSAC 2021
- 12. Paper accepted: 'False Relay Operation Attacks in Power Systems with High Renewables' at IEEE PESGM 2021
Research Experience
- 1. Graduate Research Assistant at Complex Network and Security Research (CNSR) Lab, Virginia Tech
- 2. Amazon Fellow by Amazon - Virginia Tech Initiative for Efficient and Robust Machine Learning for the academic year 2024-25
- 3. Summer internship at Qualcomm Inc in 2023
- 4. Summer internship at Qualcomm Inc in 2022
Education
- 1. Ph.D. in Computer Science, Virginia Tech, Expected Graduation: May 2026, Advisor: Dr. Wenjing Lou
- 2. M.S. in Computer Engineering, Florida International University, 2020
- 3. B.S. in Electrical and Electronic Engineering, Bangladesh University of Engineering & Technology, 2016
Background
- Research interests include the intersection of machine learning and cybersecurity, with a particular emphasis on applications to cyber-physical systems, including connected and autonomous vehicles. Currently on the academic and R&D job market for Summer/Fall 2026, exploring faculty and research scientist opportunities.
