Peng Jiang ⚡️
Profile
I am a Ph.D. Candidate (ABD) in the Department of ECE at Old Dominion University (ODU) and lecturer in the School of Cybersecurity. My Ph.D. dissertation is advised by Dr. Chunsheng Xin and co-advised by Dr. Hongyi (Michael) Wu (University of Arizona) . My research interests span broad areas of cybersecurity, AI, autonomous vehicles, and wireless communication. My current research focuses on integrating the multi-modal sensor system to secure the location security of autonomous vehicles and drones.
Education

Ph.D.c in Electrical and Computer Engineering,

From May 2017 to May 2024 (estimated) at Old Dominion University, Norfolk, VA

M.E. in Electrical and Computer Engineering,

May 2017 at Old Dominion University, Norfolk, VA, USA

B.S. in Communication Engineering

June 2014 at Chongqing University of Posts and Telecommunications, Chongqing, China

Experience

Lecturer

From 2019 to present, School of Cybersecurity and Department of Electrical & Computer Engineering, Old Dominion University, Norfolk, Virginia

Adjunct Faculty

From 2017 to 2019, Department of Electrical & Computer Engineering, Old Dominion University, Norfolk, Virginia

Submitted Proposals
  • Design, Deployment, and Defense: A Comprehensive Experiential Learning Program for UAV, AI, and Cybersecurity, Submitted to CCI, $100,000, Role: PI
  • REU site: Secure AI-driven Cybersecurity Research in a Multidisciplinary Environment, Submitted to NSF, $410,000, Role: Co-PI
Grants
  • [New] CCI, "A Paradigm Shift: Innovating Supply Chain Security for AI-Assisted Devices," $100k, 2024-2025, Role: Co-PI
  • NSF, "CyberTraining: T3-CIDERS: A Train-the-Trainer Approach to Fostering CI- and Data-Enabled Research in CyberSecurity," $750K, 2023 - 2026, Role: Co-PI
  • NSF, "Improving the Success of Low-Income Students in a Cybersecurity Program," $1M, 2018 - 2024, Role: Co-PI
  • NSF, "REU Site: Deep Learning Driven Cybersecurity Research in a Multidisciplinary Environment," $405K, 2020 - 2024, Role: Co-PI
  • NSA, "Intelligent Learning in Cyber Defense for JROTC Students and Teachers," $175K, 2022 - 2024, Role: Co-PI
  • NSA, "Cybersecurity+AI: a GenCyber Camp in the Age of AI to Train K-12 Teachers for Classroom Teaching of Cybersecurity," $145K, 2021 - 2023, Role: Co-PI
  • CCI, "Developing a Holistic Evaluation Framework for Multi-Modal AI Security and Trustworthiness on Smart IoT Devices in NextG Wireless Networks," $50K, 2023 - 2024, Role: Co-PI
  • CCI, "Spotlighting and Mitigating Cyber‐Attacks in AIoT‐enabled Maritime Transportation," $100,000, 2023 - 2024, Role: Co-PI
  • CCI, "GPU Powered IoT Testbed to Expand CCI Lab Environment," $148K, 2022 - 2023, Role: PI
  • CCI, "Sensor Degradation Detection Algorithm for Automated Driving Systems," $200,000, 2021 - 2022, Role: Senior Personnel
  • CCI, "DeepPOSE: Securing Transportation Systems from GPS Spoofing Attacks," $200,000, 2021 - 2022, Role: Senior Personnel
Publications
  • P. Jiang, L. Zhu, H. Wu, C. Xin, "GeoSync: Autonomous Vehicle Navigation via Transformer-Based Geospatial Synchronization," Submitted to IEEE Conference on Dependable Systems and Networks (DSN 2024).
  • P. Jiang, H. Wu, Y. Zhao, D. Zhao, G. Zhou, C. Xin, "SEEK+: Securing Vehicle GPS via a Sequential Dashcam-Based Vehicle Localization Framework," Pervasive and Mobile Computing (PMC) (In Press).
  • E. Fathalla, S. Zargarzadeh, C. Xin, H. Wu, P. Jiang, J. Santos, J. Kibilda, "Beam Profiling and Beamforming Modeling for mmWave NextG Networks," in Proceedings of the IEEE International Conference on Computer Communications and Networks (ICCCN), Waikiki Beach, Honolulu, HI, USA, 2023.
  • P. Jiang, H. Wu, Y. Zhao, D. Zhao, C. Xin, "SEEK: Detecting GPS Spoofing via a Sequential Dashcam-Based Vehicle Localization Framework," in Proceedings of the IEEE Conference on Pervasive Computing and Communications (PerCom), Atlanta, GA, USA, 2023 (Acceptance Ratio:17.9%)
  • U. Lee, P. Jiang, H. Wu, C. Xin, "View Synthesis with Scene Recognition for Cross-View Image Localization", Future Internet, vol. 15 (4), 2023
  • P. Jiang, H. Wu, C. Xin, "DeepPOSE: Detecting GPS spoofing attack via deep recurrent neural network", Digital Communications and Networks, vol. 8 (5), pp. 791-803, 2022 (Impact Factor: 6.348)
  • P. Jiang, H. Wu, C. Xin, "A channel state information based virtual MAC spoofing detector", High-Confidence Computing, vol. 2 (3), 2022
  • P. Jiang, M. Zhou, W. Song, "Priority Based Routing and Link Scheduling for Cognitive Radio Networks", EAI Endorsed Transactions on Wireless Spectrum, vol. 4 (13), 2020
  • P. Jiang, H. Wu, C. Wang, C. Xin, "Virtual MAC spoofing detection through deep learning", in Proceedings of the IEEE International Conference on Communications (ICC), 2018
  • P. Jiang, C. Xin, M. Song, "Disruption aware routing and link scheduling for cognitive radio networks", in Proceedings of the IEEE International Conference on Computing, Networking and Communications (ICNC), 2017
  • P. Jiang, X. Tian, C. Xin, W. He, "Teaching Hands-On Cyber Defense Labs to Middle School and High School Students: Our Experience from GenCyber Camps", in EdMedia+ Innovate Learning, Association for the Advancement of Computing in Education (AACE), 2017
Teaching Experiences

RateMyProfessor: 4.3/5

CYSE 301: Cybersecurity Techniques and Operations

Developer & Instructor, Every Semester since Fall 2017. Student feedback: 4.33/5 (Spring 2022)

ECE 416/516: Cyber Defense Fundamentals

Instructor, Fall 2021

CYSE 270: Linux for Cybersecurity

Developer & Instructor. Fall 2020, and Spring 2021. Student feedback: 4.55/5 (Spring 21)

CYSE 601: Advanced Cybersecurity Techniques and Operations

Developer & Instructor, Spring 2020

CYSE 200T: Cybersecurity, Technology, and Society

Instructor, Fall 2019

NSA GenCyber Summer Camp [K-12 Student Enrollment: >200]

Lead Instructor since 2019

Hampton Roads Radio Spectrum and Wireless Communication Workshop and Summer School

Student Mentor, June 2015 and June 2016

Professional Services

Journal Reviewer

  • IEEE Transaction of Mobile Computing (TMC)
  • IEEE Transactions on Machine Learning in Communications and Networking (TMLCN)
  • Computer Communications
  • Pervasive and Mobile Computing
  • Web Intelligence

Conference Reviewer

  • IEEE ICC
  • IEEE INFOCOM
  • IEEE WCNC
  • IEEE ISCAS

Curriculum Developer

  • Leading faculty in the application for NSA CAE-CD designation for B.S. in Cybersecurity at ODU
  • Member of undergradaute curriculum review committee

Student Advising

  • The faculty advisor of the CCI Battle Drone Competition organized by Virginia Tech in Apr. 2022 & 2023
  • The faculty advisor of the Global Collegiate Penetration Testing Competition (CPTC), Nov. 2021
  • The faculty advisor of the NSF S-STEM scholarship students
  • The faculty mentor of the NSF REU sites at School of Cybersecurity

K-12 Outreach

  • Guest Speaker for GenCyber Outreach Event at Norview High School, April 2022
  • Guest Speaker for Virginia Beach City Public Schools, "Beach Girls Hack!", event offered for Virginia Beach City Public Schools (VBCPS) female students in grades 5-8, March 2022
  • Guest Speaker for Norfolk Public Schools, "From Coding to Hacking: How to solve cybersecurity challenges with programming skills," Computer Science Education Week, December 2020, November 2021, and December 2022
  • Advanced Track Instructor for Hampton Roads Cyber Saturdays, 99 high school students and 41 parents participated, Norfolk, March 2017
profile image