Shengjie Xu, Ph.D.

About Me

Shengjie Xu received a Ph.D. degree in Computer Engineering from the University of Nebraska-Lincoln, an M.S. degree in Telecommunications from the University of Pittsburgh, and a B.E. degree in Information Security. He is currently a tenure-track assistant professor at the University of Arizona (U of A), where he serves as a co-PI and faculty fellow at the Arizona Cybersecurity Clinic, funded by Google. Before joining U of A, he was a tenure-track assistant professor at San Diego State University (Fowler College of Business) and Dakota State University (Beacom College of Computer and Cyber Sciences).

His research interests include cybersecurity, secure AI/ML, AI/ML for security, zero trust architecture, and cryptography. He has received grants and contracts in research and educational projects from the U.S. National Science Foundation (NSF) and the National Security Agency (NSA). He serves as a technical editor for IEEE Wireless Communications Magazine, a proposal panel reviewer for the NSF, and a technical program committee (TPC) vice chair for ISICN 2025. He is the lead author of the book “Cybersecurity in Intelligent Networking Systems” (John Wiley/IEEE Press, 2023). He is a member of IEEE and ACM and holds multiple professional certifications in cybersecurity and computer networking.

Research Interests

My research interests focus on cybersecurity and its intersections with machine learning and networking systems.

• Cybersecurity: cryptography, intrusion detection, zero-trust model
• Secure AI/ML: learning-based anomaly detection, adversarial attack and defense, robust intelligent systems
• Machine Learning: adversarial machine learning, federated learning, generative AI

Accolades

[2024] Outstanding Faculty Award, Fowler College of Business, San Diego State University

[2020] IET Journal Premium Award for Best Paper, Institution of Engineering and Technology (IET)

[2017] Milton E. Mohr Graduate Fellowship Award, College of Engineering, University of Nebraska-Lincoln

[2015] Best Poster Award, 11th International Conference on Design of Reliable Communication Networks (DRCN)

[2013] Outstanding Graduate Students Scholarship, School of Information Science, University of Pittsburgh

Publications

1. Book

[B1] Shengjie Xu, Yi Qian, and Rose Qingyang Hu, “Cybersecurity in Intelligent Networking Systems," John Wiley/IEEE Press, 2023.

2. Refereed Conference Proceedings

[C25]“Zero Trust Model for Secure Edge Intelligence," (under review)

[C24] ``Comparing Unidirectional, Bidirectional, and Word2vec Models for Discovering Vulnerabilities in Compiled Lifted Code,” (under review)

[C23] Blake Ward, Daniel Gonzalez, Jake Alt, Dongfeng Fang, and Shengjie Xu, “Optimizing Weighted Ensemble ML IDS Using Parallelization and Batch Learning in Healthcare Networks," Proceedings of the IEEE International Conference on E-health Networking, Application & Services (Healthcom), Nara, Japan, November 18-20, 2024.

[C22] “A Lightweight Intrusion Detection System for CAN Bus Based on Ensemble Model," (under review)

[C21] Gary McCully, John Hastings, Shengjie Xu, and Adam Fortier, “Bi-Directional Transformers vs. word2vec: Discovering Vulnerabilities in Lifted Compiled Code," Proceedings of the IEEE 4th Cyber Awareness and Research Symposium (CARS), Grand Forks, North Dakota, United States, October 28-29, 2024.

[C20] Piyush Vyas, Jun Liu, and Shengjie Xu, “Real-Time Fake News Detection on the X (Twitter): An Online Machine Learning Approach," Proceedings of the Americas Conference on Information Systems (AMCIS), Salt Lake City, Utah, United States, August 15-17, 2024.

[C19] Brian Fehrman, Francis Akowuah, and Shengjie Xu, “Adversarial Attacks in Problem Space for VBA Code Samples," Proceedings of the International Symposium on Intelligent Computing and Networking (ISICN), San Juan, Puerto Rico, United States, March 18-20, 2024.

[C18] Bryan Ikei, Hanna Thiry, and Shengjie Xu, “Towards Robust IoT Privacy: A Blockchain Design with Attribute-based Encryption," Proceedings of the International Symposium on Intelligent Computing and Networking (ISICN), San Juan, Puerto Rico, United States, March 18-20, 2024.

[C17] Tjada Nelson, Austin O’Brien, Cherie Noteboom, and Shengjie Xu, “WCFG: A Weighted Control Flow Graph Dataset Design for Malware Classification," Proceedings of the International Symposium on Intelligent Computing and Networking (ISICN), San Juan, Puerto Rico, United States, March 18-20, 2024.

[C16] Kexin Zhang, Shengjie Xu, and Bongsik Shin, “Towards Adaptive Zero Trust Model for Secure AI," Proceedings of the IEEE Conference on Communications and Network Security (CNS), Orlando, Florida, United States, October 2-5, 2023.

[C15] Tarek Ahmed and Shengjie Xu, “Shellcoding: Hunting for Kernel32 Base Address," Proceedings of the IEEE Conference on Computer Communications (INFOCOM) Workshops, virtual conference, May 2-5, 2022.

[C14] Justin Burr and Shengjie Xu, “Improving Adversarial Attacks Against Executable Raw Byte Classifiers," Proceedings of the IEEE Conference on Computer Communications (INFOCOM) Workshops, virtual conference, May 10-13, 2021.

[C13] Matt Bradley and Shengjie Xu, “A Metric for Machine Learning Vulnerability to Adversarial Examples," Proceedings of the IEEE Conference on Computer Communications (INFOCOM) Workshops, virtual conference, May 10-13, 2021.

[C12] Sujita Chaudhary, Austin O’Brien, and Shengjie Xu, “Automated Post-Breach Penetration Testing through Reinforcement Learning," Proceedings of the IEEE Conference on Communications and Network Security (CNS), virtual conference, June 29 - July 1, 2020.

[C11] Shengjie Xu, Dongfeng Fang, and Hamid Sharif, “Efficient Network Anomaly Detection for Edge Gateway Defense in 5G," Proceedings of the IEEE Global Communications Conference (GLOBECOM) Workshops, Waikoloa, Hawaii, United States, December 9-13, 2019.

[C10] Dongfeng Fang, Shengjie Xu, and Hamid Sharif, “Security Analysis of Wireless Train Control Systems," Proceedings of the IEEE Global Communications Conference (GLOBECOM) Workshops, Waikoloa, Hawaii, United States, December 9-13, 2019.

[C9] Shengjie Xu, Yi Qian, and Rose Qingyang Hu, “A Semi-Supervised Learning Approach for Network Anomaly Detection in Fog Computing," Proceedings of the IEEE International Conference on Communications (ICC), Shanghai, China, May 20-24, 2019.

[C8] Shengjie Xu, Yi Qian, and Rose Qingyang Hu, “Privacy-Preserving Data Preprocessing for Fog Computing in 5G Network Security," Proceedings of the IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, United Arab Emirates, December 9-13, 2018.

[C7] Sohan Gyawali, Shengjie Xu, Feng Ye, Rose Qingyang Hu and Yi Qian, “A D2D based Clustering Scheme for Public Safety Communications," Proceedings of the IEEE 87th Vehicular Technology Conference (VTC Spring), Porto, Portugal, June 3-6, 2018.

[C6] Shengjie Xu and Feng Ye, “A Predicate Encryption Scheme for Anomaly Detection in E-Health Communication Networks," Proceedings of the IEEE International Conference on Communications (ICC), Kansas City, Missouri, United States, May 20-24, 2018.

[C5] Shengjie Xu, Yi Qian, and Rose Qingyang Hu, “A Study on Communication Network Reliability for Advanced Metering Infrastructure in Smart Grid," Proceedings of the IEEE Cyber Science and Technology Congress (CyberSciTech), Orlando, Florida, United States, November 6-10, 2017.

[C4] Shengjie Xu, Yi Qian, and Rose Qingyang Hu, “A Data-driven Preprocessing Scheme on Anomaly Detection in Big Data Applications," Proceedings of the IEEE Conference on Computer Communications (INFOCOM) Workshops, Atlanta, Georgia, United States, May 1-4, 2017.

[C3] Shengjie Xu, Yi Qian, and Rose Qingyang Hu, “A Secure Data Learning Scheme in Big Data Applications," Proceedings of the The 25th International Conference on Computer Communications and Networks (ICCCN), Waikoloa, Hawaii, United States, August 1-4, 2016.

[C2] Shengjie Xu and Yi Qian, “Quantitative Study of Reliable Communication Infrastructure in Smart Grid NAN," Proceedings of the The 11th International Conference on the Design of Reliable Communication Networks (DRCN), Kansas City, Missouri, United States, March 25-27, 2015.

[C1] Shengjie Xu, Xiaochun Lei, Jundong Li and Hua Shi, “USB Storage Device Surveillance System in Intranet," Proceedings of the The 4th International Conference on Information Security and Intelligence Control (ISIC), Jilin, China, August 13-15, 2011.

3. Refereed Journal Articles

[J12] “Advancing Security in Edge Artificial Intelligence with Zero Trust Model," (under review)

[J11] “Large Language Model in Fuzz Testing," (under review)

[J10] “An EMBER Static Malware Analysis Tactical Decision Aid for Incident Responders," (under review)

[J9] “Steganography using Generated Cover Text and a Coverless Image," (under review)

[J8] “A Study of Security and Privacy in Unmanned Aerial Vehicles," (under review)

[J7] Sohan Gyawali, Shengjie Xu, Yi Qian, and Rose Qingyang Hu, “Challenges and Solutions for Cellular based V2X Communications," IEEE Communications Surveys and Tutorials, vol. 23, no. 1, pp. 222-255, First Quarter 2021.

[J6] Shengjie Xu, Yi Qian, and Rose Qingyang Hu, “Data-Driven Edge Intelligence for Robust Network Anomaly Detection," IEEE Transactions on Network Science and Engineering, vol. 7, no. 3, pp. 1481-1492, 1 July-Sept. 2020.

[J5] Shengjie Xu, Yi Qian, and Rose Qingyang Hu, “Edge Intelligence Assisted Gateway Defense in Cyber Security," IEEE Network, vol. 34, no. 4, pp. 14-19, July/August 2020.

[J4] Shengjie Xu, Yi Qian, and Rose Qingyang Hu, “Data-driven Network Intelligence for Anomaly Detection," IEEE Network, vol. 33, no. 3, pp. 88-95, May/June 2019.

[J3] Shengjie Xu and Yi Qian, “Machine Learning Enabled Data Preprocessing in Cyber Security Applications," IEEE ComSoc MMTC Communications - Frontiers, vol. 13, no. 6, pp. 15- 18, November 2018.

[J2] Shengjie Xu, Yi Qian, and Rose Qingyang Hu, “Reliable and Resilient Access Network Design for Advanced Metering Infrastructures in Smart Grid," IET Smart Grid, vol. 1, pp. 24-30, April 2018.

[J1] Shengjie Xu, Yi Qian, and Rose Qingyang Hu, “On Reliability of Smart Grid Neighborhood Area Networks," IEEE Access, vol.3, pp.2352-2365, 2015.

Invited Talks & Presentations

1. Invited Talks and Conference Tutorials

[T7] “AI/ML and Security in Wireless Communications," tutorial talk at IEEE Vehicular Technology Conference (VTC2024-Fall), Washington DC, United States, October 7-10, 2024. (Flagship Conference of IEEE Vehicular Technology Society)

[T6] “AI/ML in Secure Communication Networks," tutorial talk at IEEE International Conference on Communications (ICC), Denver, Colorado, United States, June 9, 2024. (Flagship Conference of IEEE Communications Society)

[T5] “Cybersecurity in Intelligent Networking Systems," invited by Dr. Ming-Hsiang Tsou, Director - Big Data Analytics (BDA) Program (Master of Science) at San Diego State University, BDA 600 Big Data Analytics Capstone Seminar, San Diego, California, United States, March 2023.

[T4] “Cybersecurity in Intelligent Networking Systems," invited by Dr. Jose Castillo, Center Director - Center for Research in Computational Science (CRCS) at San Diego State University, CRCS Colloquium, San Diego, California, United States, December 2022.

[T3] “Towards Secure and Robust AI/ML for Intelligent Networking Systems," invited by Dr. Bongsik Shin, Department Chair of the Management Information Systems (MIS) Department, MIS Research Seminar, San Diego, California, United States, October 2022.

[T2] “Secure Edge Computing for Gateway Defense in Cyber Physical Systems," invited by Dr. Jon Kellar, Center Director - Center for Understanding & Disrupting the Illicit Economy and NSF National Research Traineeship Program — Cyber-Physical-Social System for Understanding & Thwarting the Illicit Economy, Research Seminar, virtual, October 2021.

[T1] “Data-driven Edge Intelligence for Network Anomaly Detection," invited by Dr. Tim Hansen, Chair of IEEE Computer Society - Siouxland Section, Brookings, South Dakota, United States, December 2019.

2. Presentations of Symposium Papers and Research Activities

[P11] “Towards Adaptive Zero Trust Model for Secure AI," IEEE Conference on Communications and Network Security (CNS), Orlando, Florida, United States, October 2023.

[P10] “Efficient Network Anomaly Detection for Edge Gateway Defense in 5G," IEEE Global Communications Conference (GLOBECOM) Workshop, Waikoloa, Hawaii, United States, December 2019.

[P9] “Data-driven Network Intelligence for Cyber Security," 12th Central Area Networking and Security Workshop, Manhattan, Kansas, United States, October 2018.

[P8] “Data-driven Network Intelligence for Cyber Security," 3rd Academic Research Colloquium (ARC), School of Engineering, University of Dayton, Dayton, Ohio, United States, October 2018.

[P7] “A Predicate Encryption Scheme for Anomaly Detection in E-Health Communication Networks," IEEE International Conference on Communications (ICC), Kansas City, Missouri, United States, May 2018.

[P6] “Vehicle Routing Applications for Emergency Planning and Disaster Relief in Public Safety Communications for Rural Communities," University of Nebraska-Lincoln Research Fair, Lincoln, Nebraska, United States, April 2018.

[P5] “A Study on Communication Network Reliability for Advanced Metering Infrastructure in Smart Grid," IEEE Cyber Science and Technology Congress (CyberSciTech), Orlando, Florida, United States, November 2017.

[P4] “A Data-driven Preprocessing Scheme on Anomaly Detection in Big Data Applications," IEEE Conference on Computer Communications (INFOCOM) - Big Security Workshop, Atlanta, Georgia, United States, May 2017.

[P3] “On Reliability of Smart Grid Neighborhood Area Networks," University of Nebraska-Lincoln Spring 2017 Research Fair, Lincoln, Nebraska, United States, April 2017.

[P2] “Quantitative Study of Reliable Communication Infrastructure in Smart Grid NAN," 11th International Conference on the Design of Reliable Communication Networks, Kansas City, Missouri, United States, March 2015.

[P1] “Network Security Research in Smart Grid Communication Systems," 6th Central Area Networking and Security Workshop, Lawrence, Kansas, United States, October 2014.

Teaching Experience

1. Assistant Professor, University of Arizona

• Undergraduate level: CYBV 498 [Senior Capstone in Cyber Operations], Fall 2024.
• Undergraduate/Graduate level: CSCV 471 [Artificial Intelligence], Fall 2024.

2. Assistant Professor, San Diego State University

• Graduate level: MIS 585 [Fundamentals of Cybersecurity Management], Fall 2022, 2023, Spring 2023, 2024.
• Graduate level: MIS 687 [Secure Enterprise Networking & Mobile Technologies], Fall 2022, Spring 2023.
• Graduate level: MIS 760 [AI/Machine Learning for Cyber Intelligence and Defense], Spring 2024.

3. Assistant Professor, Dakota State University

• Graduate level: CSC 723 [Machine Learning for Cyber Security], Spring 2020, 2021, 2022.
• Undergraduate/Graduate level: CSC 791 [Generative Deep Learning], Fall 2020, 2021.
• Graduate level: CSC 786 [Cyber Problems], Fall 2020, 2021, 2022, Spring 2020, 2021, 2022.
• Graduate level: INFA 751 [Wireless Security], Fall 2019.
• Undergraduate level: CSC 325 [Computer Networks], Fall 2019.

4. Graduate Teaching Assistant, University of Nebraska-Lincoln

• Undergrad/Graduate level: ECEN 4840 & 8846 [Network Security], Fall 2015/Fall 2016.
• Undergrad/Graduate level: ECEN 4880 & 8886 [Wireless Security], Spring 2016/Spring 2017.
• Undergrad/Graduate level: ECEN 4910 & 8950 [Estimation Theory], Spring 2016.
• Undergrad/Graduate level: ECEN 4760 & 8766 [Wireless Communications], Spring 2016.
• Undergraduate level: ECEN 2130/ ECEN 2220 [Electrical Circuits I], Fall 2015/Fall 2016, Spring 2017.

Student Supervisory/Mentorship Experience

1. PhD Dissertation Supervised - as Chair/Supervisor

[PD3] Matt Bradley, “A Metric For Machine Learning Vulnerability to Adversarial Examples," Ph.D. in Cyber Operations, Dakota State University, May 2022.

[PD2] Justin Burr, “Improving Adversarial Attacks Against MalConv," Ph.D. in Cyber Operations, Dakota State University, May 2022.

[PD1] Jude Ejiobi, “Aligning Recovery Objectives With Organizational Capabilities," Ph.D. in Cyber Operations, Dakota State University, May 2022.

2. PhD Dissertation Supervised - as Committee Member

[D9] Gary McCully, “Analysis of NLP Embedding Models for Vulnerability Discovery in Binaries," Ph.D. in Cyber Operations, Dakota State University, PhD candidacy date: Spring 2024

[D8] Chinyere Isaac-Heslop, “A Post-Quantum Cryptography Quandary: Does Added Complexity Diminish Security?" Ph.D. in Cyber Operations, Dakota State University, PhD candidacy date: Spring 2023

[D7] Brian Christopher Fehrman, “Investigating Machine-Learning VBA-Macro Analysis using Machine Learning in a Constrained Environment," Ph.D. in Data Science and Engineering, South Dakota School of Mines and Technology, PhD candidacy date: Spring 2023

[D6] Kimo Bumanglag, “An Application of Machine Learning to Analysis of Packed Mac Malware," Ph.D. in Cyber Operations, Dakota State University, May 2022.

[D5] Lisa McKee, “Privacy Assessment Breakthrough: A Design Science Approach to Creating a Unified Methodology," Ph.D. in Cyber Defense, Dakota State University, May 2022.

[D4] Piyush Vyas, “Fake News Detection on the Web: A Deep Learning Based Approach," Ph.D. in Information Systems, Dakota State University, April 2022.

[D3] Mohammad Muntasir Nur, “Towards Identity Relationship Management For Internet of Things," Ph.D. in Cyber Operations, Dakota State University, March 2021.

[D2] Howard Goodman, “Analyzing the Effectiveness of Legal Regulations and Social Consequences for Securing Data," Ph.D. in Cyber Operations, Dakota State University, March 2021.

[D1] Richard Matthews, “Analysis of System Performance Metrics Towards the Detection of Cryptojacking in IOT Devices," Ph.D. in Cyber Operations, Dakota State University, March 2021.

3. M.S. Thesis Supervised - as Committee Member

[MT2] Shixuan Guan, “Detection and Prevention of Cryptocurrency Scams," M.S. in Computer Science, San Diego State University, May 2024.

[MT1] Melarie Cardenas, “Mitigating Cybersecurity Risks Posed Self-Service Analytics (SSA) Tools: Creation of a Standardized Audit," M.S. in Information Systems, San Diego State University, May 2023.

4. Students with Awards - as the Sole Academic Supervisor

[MA2] Tianyi Zhu, M.S. in Cybersecurity Management, won the 2024-2025 San Diego State University Master’s Research Scholarship. https://business.sdsu.edu/news/2024/05/ai-cybersecurity-research

[MA1] Chaitanya Patel, M.S. in Cybersecurity Management, won the Outstanding Graduate Student in the M.S. program in Cybersecurity Management of the Fowler College of Business at San Diego State University. https://business.sdsu.edu/news/2024/05/fowlers-top-students

Academic Services

1. U.S. National Science Foundation (NSF) Proposal Review Panel

Panelist – NSF’s Secure and Trustworthy Cyberspace (SaTC) program: Education Designation competition

2. Editorial Board for IEEE and International Journals

Technical Editor - IEEE Wireless Communications, April 2021 - Present

Editor - International Journal of Sensor Networks (IJSNet), September 2020 - Present

Editor - IEEE COMSOC MMTC Communications - Review, October 2020 - February 2024

3. Organizing Committee for IEEE and International Conferences

TPC Vice Chair - International Symposium on Intelligent Computing and Networking, 2025 (ISICN 2025)

Finance Chair - International Symposium on Intelligent Computing and Networking, 2024 (ISICN 2024)

Session Chair - International Symposium on Intelligent Computing and Networking, 2024 (ISICN 2024) | Session 1: Intelligent Platforms and Systems and Poster Session 2

Publicity Chair - 4th International Workshop on Intelligent Cloud Computing and Networking (ICCN), 2022 | in conjunction with IEEE INFOCOM 2022

Symposium Session Chair - IEEE International Conference on Communications (ICC), 2018 | Track: Selected Areas in Communications - Edge and Distributed Internet of Things (IoT) Computing

4. Technical Program Committee (TPC) Member for IEEE and International Conferences

International Conference on Computing, Networking, and Communications (ICNC), 2025 | Symposium: Communication and Information Security (CIS)

International Symposium on Intelligent Computing and Networking (ISICN), 2024

IEEE Global Internet Symposium (GI), 2021

IEEE/ACM International Symposium on Quality of Service (IEEE/ACM IWQoS’21), 2021

Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS), 2020

IEEE/CIC ICCC ( IEEE/CIC International Conference on Communications in China (ICCC), 2019, 2020

2018/2019 International Workshop on Big Data and Edge Computing for Smart City

IEEE International Conference on Smart Grid Communications (SmartGridComm), 2017, 2018 | Main conference, 2018 | Symposium 1: Communications and Networks to Enable the Smart Grid, IEEE SmartGirdComm, 2017

International Conference on Computer Communications and Networks (ICCCN), 2015 | Track: Green and Sustainable Computing

5. Reviewer of Journals and Conferences

IEEE Journals & Magazines: IEEE Transactions on Vehicular Technology, IEEE Transactions on Cognitive Communications and Networking, IEEE Transactions on Mobile Computing, IEEE/ACM Transactions on Networking, IEEE Communications Surveys and Tutorials, IEEE Communications Magazine, IEEE Wireless Communications Magazine, IEEE Internet of Things Journal, IEEE Access, IEEE Vehicular Technology Magazine

International Journals: Security and Communication Networks, Wireless Communications and Mobile Computing, Wiley’s International Journal of Communication Systems, International Journal of Distributed Sensor Networks, Journal of Network and Systems Management, China Communications, KSII Transactions on Internet and Information Systems, Mobile Information Systems, Peer-to-Peer Networking and Applications

IEEE & International Conferences: IEEE International Conference on Computer Communications (INFOCOM) 2020, IEEE International Conference on Communications (ICC) 2017 - 2021, IEEE Global Communications Conference (GLOBECOM) 2016, 2018, 2019, 2021, IEEE International Conference on Trust, Security, and Privacy in Computing and Communications (TrustCom) 2019, International Conferences on Signal Processing and Communication Systems (ICSPCS) 2015, 2016, 2017, 2019, International Conference on Wireless Communications and Signal Processing (WCSP) 2017, IEEE INFOCOM BigSecurity 2016, IEEE International Conference on Smart Grid Communications (SmartGridComm) 2016, Military Communications Conference (MILCOM) 2015 - 2017, International Conference on Design of Reliable Communication Networks (DRCN) 2015, 2021

6. University Services at San Diego State University (SDSU)

University Senate at SDSU Undergrad Council - Representative of the Fowler College of Business, September 2023

Program Assessment Chair (PAC) of the MIS department at Fowler College of Business , September 2023 - May 2024

Program Assessment Coordinator for the Masters of Science in Cybersecurity Management (MSCM) program

Admission Committee for MS Program in Cybersecurity Management - Member, Spring 2024

7. University Services at Dakota State University (DSU)

Faculty Search and Screen Committee for The Beacom College of Computer and Cyber Sciences - Member, Spring 2021 & Spring 2022

Admission Committee for PhD Program in Computer Science - Member, Summer 2021

Admission Committee for PhD Program in Cyber Defense - Member, Spring 2021

Admission Committee for MS Program in Cyber Defense - Member, Fall & Spring & Summer 2021

AI Degree Planning Committee - Member | Bachelor Degree in Artificial Intelligence, Approved by South Dakota Board of Regents, Summer 2020 - Spring 2021 | Artificial Intelligence Specialization in Master of Science Program in Computer Science, Summer 2020 - Summer 2021

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