About Me

Dr. Junjie Zhang is a tenured Associate Professor in the Department of Computer Science and Engineering at Wright State University (WSU) and the recipient of the 2024 Robert J. Kegerreis Distinguished Professor of Teaching award. He serves as Director of the Cyber Security Program and Institutional Point of Contact for WSU's Center of Academic Excellence in Cyber Defense (CAE-CD).

His research focuses on software and network security. His research and education projects have received support from federal, state, and industry partners, including the National Science Foundation (NSF), National Security Agency (NSA), National Institute of Standards and Technology (NIST), Air Force Research Laboratory (AFRL), Ohio Department of Higher Education, Ohio Cyber Range Institute, and Transportation Research Center.

For additional information, visit his personal website or Google Scholar profile.

Education

• Ph.D. in Computer Science, Georgia Institute of Technology, Atlanta, GA, USA, 2012.
• M.S. in Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China, 2006.
• B.S. in Computer Science, Xi'an Jiaotong University, Xi'an, Shaanxi, China, 2003.

Academic Appointments

• Associate Professor, Department of Computer Science and Engineering, Wright State University, Dayton, OH, 2018–present.
• Assistant Professor, Department of Computer Science and Engineering, Wright State University, Dayton, OH, 2012–2018.

Leadership and Leadership Training

• Director of the Cyber Security Program (appointed), Department of Computer Science and Engineering, Wright State University, Feb. 2022–present.
• Institutional Point of Contact, Center of Academic Excellence in Cyber Defense (CAE-CD), Wright State University, 2021–present.
• Chair of Undergraduate Curriculum Committee (elected), Department of Computer Science and Engineering, Wright State University, Aug. 2025–Aug. 2026 and Aug. 2017–Aug. 2019.
• Trainee (selected), Wright Leader Academy Program, Wright State University, Aug. 2023–Apr. 2024.
• Chair of Graduate Studies Committee (elected), Department of Computer Science and Engineering, Wright State University, Aug. 2020–Aug. 2021.

Honors and Awards

• Nominee, Presidential Award for Faculty Excellence in Community Engagement, Wright State University, 2025 and 2026.
• Awardee, Robert J. Kegerreis Distinguished Professor of Teaching Award, Wright State University, 2024.
• Awardee, Excellence in Teaching of College of Engineering and Computer Science (student-voted), Wright State University, 2022.
• Awardee, Excellence in Research of College of Engineering and Computer Science, Wright State University, 2019.

Research Focus

Dr. Zhang's research focuses on software and network security. His projects and publications emphasize web application vulnerability detection, PHP and WordPress security analysis, fuzzing, firmware and binary analysis, machine-learning-assisted vulnerability detection, botnet and DNS traffic analysis, website fingerprinting, cyber-physical systems security, unmanned systems security, cybersecurity education, and cyber range curriculum.

Grants and Contracts

1. National Institute of Standards and Technology (NIST), RAMPS Program, "SecureAM Pathways: Building an Employer-Led Ohio Cybersecurity Workforce for Advanced Manufacturing," PI: Junjie Zhang, Co-PIs: Ahsan Mian and Wen Zhang; Funding: $199,889; Period: Oct. 2026–Sep. 2028.
2. National Security Agency (NSA), "A Game-Based Learning Framework for K-12 AI-Cyber Education," PI: Phu Phung (University of Dayton), Co-PIs: Junjie Zhang (Wright State University) and Mark Reith (Air Force Institute of Technology); Total award: $499,816.85; Zhang's share: $62,161.31; Period: Aug. 2026–Jul. 2028.
3. National Security Agency (NSA) through Purdue University Northwest, "Advancing Cybersecurity Workforce With Purdue University Northwest," PI: Junjie Zhang; Funding: $31,987; Period: Sep. 2025–Sep. 2027.
4. Ohio Department of Higher Education, "Integrative Digital Engineering Approaches for Advanced Air Mobility," PI: Darryl Ahner, Co-PI: Junjie Zhang; Funding: $896,096; Period: Feb. 2024–Jun. 2025.
5. Ohio Cyber Range Institute, "Digital Forensics: A Hands-on and Interdisciplinary Approach Curriculum," PI: Junjie Zhang; Funding: $15,000; Period: 2023–2024.
6. National Security Agency (NSA), "National Pathways to Success (NPS): Establishing a National Cybersecurity Academic and Career Bridge Consortium for Community College Students," PI: Fathi Amsaad, Co-PI: Junjie Zhang; Funding: $704,535; Period: 2023–2025.
7. Transportation Research Center, "Artificial-Intelligence-Driven Binary-to-Source-Code Function Search," PI: Junjie Zhang, Co-PI: Lingwei Chen; Funding: $123,536; Period: 2022–2023.
8. Ohio Cyber Range Institute, "Load-and-Play Cyber Security Labs," PI: Junjie Zhang, Co-PI: Lingwei Chen; Funding: $50,000; Period: 2022–2023.
9. Transportation Research Center, "AI-Driven Intelligent Firmware Analysis," PI: Junjie Zhang; Funding: $115,995; Period: 2021–2022.
10. Ohio Cyber Range Institute, "Developing Cybersecurity Labs Using Interactive Programming," PI: Junjie Zhang; Funding: $15,000; Period: 2021.
11. Air Force Research Laboratory (AFRL), "Assured Digital Microelectronics Education & Training Ecosystem," PI: Vance Saunders, Co-PIs: Junjie Zhang, Yan Zhuang, Saiyu Ren, and Henry Chen; Total award: $29.75 million; Zhang's share: $200,478; Period: 2020–2023.
12. Transportation Research Center, "Scalable Firmware Analysis," PI: Junjie Zhang; Funding: $100,000; Period: 2020–2021.
13. Transportation Research Center, "Intelligent Firmware Modeling," PI: Junjie Zhang; Funding: $100,000; Period: 2019–2020.
14. Transportation Research Center, "Mission-Oriented Intelligent Firmware Modeling (cont.)," PI: Junjie Zhang; Funding: $50,000; Period: 2018–2019.
15. Transportation Research Center, "Mission-Oriented Intelligent Firmware Modeling," PI: Junjie Zhang; Funding: $50,000; Period: 2018.
16. Air Force Small Business Technology Transfer (STTR), Phase II through Knowledge Base Systems, Inc., "Developing Training Capabilities to Increase Operational System Resiliency," PI: Junjie Zhang, Co-PIs: Vance Saunders and Subhashini Ganapathy; Funding: $224,658; Period: 2017–2019.
17. National Science Foundation (NSF), Industry/University Cooperative Research Centers (I/UCRC) Program, Center for Surveillance Research (CSR), "T-RADAR: Fingerprinting Embedded Systems Using Passive and Active Network Traffic Analysis," PI: Junjie Zhang; Funding: $50,000; Period: 2017–2018.
18. Ohio Department of Higher Education, "Center for Continuous Cybersecurity Education and Training (C3ET) in West Ohio (cont.) (Rapids2)," PI: Junjie Zhang, Co-PI: Vance Saunders; Funding: $486,834; Period: 2017–2019.
19. Air Force Research Laboratory (AFRL) through Wright Brothers Institute, "Detecting and Analyzing Security Vulnerabilities for the Unmanned Systems Autonomy Services Architecture (Summer Innovation 2017)," PI: Junjie Zhang; Funding: $90,620; Period: 2017.
20. National Science Foundation (NSF), "REU Site: Cyber Security Research at Wright State University," PI: Junjie Zhang, Co-PI: Bin Wang; Funding: $358,474; Period: 2016–2019.
21. Ohio Department of Higher Education, "Center for Continuous Cybersecurity Education and Training (C3ET) in West Ohio (Rapids1)," PI: Junjie Zhang, Co-PI: Vance Saunders; Funding: $541,344; Period: 2016–2018.
22. National Science Foundation (NSF), Industry/University Cooperative Research Centers (I/UCRC) Program, Center for Surveillance Research (CSR), "Vulnerability Detection for Cyber-Physical Systems," PI: Junjie Zhang; Funding: $50,000; Period: 2016–2017.
23. Ball Aerospace, "Scalable Vulnerability Assessment for Large Cyber-Physical Systems," PI: Junjie Zhang; Funding: $30,000; Period: 2014–2015.
24. Ball Aerospace, "Automatically Detecting and Analyzing Cyber-Physical System Vulnerabilities and Attack Paths," PI: Junjie Zhang; Funding: $50,000; Period: 2013–2014.
25. Department of Defense / Air Force Office of Scientific Research (DoD/AFOSR), "DURIP: Software and Hardware Infrastructure for Energy-Efficient Large-Scale Complex Language Modeling," PI: Shaojun Wang, Co-PIs: Junjie Zhang, Keke Chen, and Amit Sheth; Funding: $492,500; Period: 2013–2014.

Conference Publications

1. Zhuobin Yuan, Rui Dai, and Junjie Zhang, "Bandwidth-Efficient Multi-View 3D Reconstruction via Fine-Grained Region Selection," IEEE National Aerospace and Electronics Conference (NAECON), Aug. 2026.
2. Erwin Vargas-Alfonso, Rui Dai, and Junjie Zhang, "OLEC: Online-Learning-Based Error Concealment for Robust Point Cloud Streaming," IEEE National Aerospace and Electronics Conference (NAECON), Aug. 2026.
3. Apoorva Nandigam, Rui Dai, and Junjie Zhang, "Efficient Point Cloud Streaming via Curvature and Edge-Aware Sampling and Deep-Learning-Based Reconstruction," IEEE National Aerospace and Electronics Conference (NAECON), Jul. 2025.
4. Penyu Zhao, Daniel Chong, Honglu Jiang, Junjie Zhang, and Rui Dai, "FedPDFGuard: A Federated Learning Approach for Robust Detection of Malicious PDF Files," IEEE National Aerospace and Electronics Conference (NAECON), Jul. 2025.
5. Jin Huang, Junjie Zhang, Jialun Liu, Chuang Li, and Rui Dai, "UQuery: Static Security Analysis of PHP-Based Web Programs Using Graph Models," IEEE Conference on Communications and Network Security (CNS), Oct. 2024.
6. Nathaniel Christian Boland, Junjie Zhang, Daniel Chong, and Rui Dai, "An Empirical Study of Software Sanitization Locality," IEEE National Aerospace and Electronics Conference (NAECON), Jul. 2024.
7. James MacLennan and Junjie Zhang, "Path-Safe: Enabling Dynamic Mandatory Access Controls Using Security Tokens," IEEE National Aerospace and Electronics Conference (NAECON), Jul. 2024.
8. Al Amin Hossain, Mithun Kumar PK, Junjie Zhang, and Fathi Amsaad, "Malicious Code Detection Using LLM," IEEE National Aerospace and Electronics Conference (NAECON), Jul. 2024.
9. Zhuobin Yuan, Ademola Ikusan, Rui Dai, and Junjie Zhang, "No-Reference Image Quality Assessment for Intelligent Sensing Applications," IEEE National Aerospace and Electronics Conference (NAECON), Jul. 2024.
10. David Elmo, George Fragkos, Jay Johnson, Kenneth Rohde, Sean Salinas, and Junjie Zhang, "Disrupting EV Charging Sessions and Gaining Remote Code Execution with DoS, MITM, and Code Injection Exploits using OCPP 1.6," Resilience Week (RWS), Nov. 2023.
11. Daniel Grahn, Lingwei Chen, and Junjie Zhang, "Code Execution Capability as a Metric for Machine Learning-Assisted Software Vulnerability Detection Models," 22nd IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Nov. 2023.
12. Daniel Chong, Junjie Zhang, Nathaniel Boland, and Lingwei Chen, "Automatically Inferring Image Base Addresses of ARM32 Binaries Using Architecture Features," 12th International Symposium on Security and Privacy on Internet of Things (SPIoT), Nov. 2023.
13. Jian Qu, Xiaobo Ma, Jianfeng Li, Xiapu Luo, Lei Xue, Junjie Zhang, Zhenhua Li, Li Feng, and Xiaohong Guan, "An Input-Agnostic Hierarchical Deep Learning Framework for Traffic Fingerprinting," 32nd USENIX Security Symposium (USENIX Security), Aug. 2023.
14. Daniel Grahn and Junjie Zhang, "An Analysis of C/C++ Datasets for Machine Learning-Assisted Software Vulnerability Detection," Conference on Applied Machine Learning for Information Security (CAMLIS), Nov. 2021.
15. Jin Huang, Junjie Zhang, Jialun Liu, Chuang Li, and Rui Dai, "UFuzzer: Lightweight Detection of PHP-Based Unrestricted File Upload Vulnerabilities Via Static-Fuzzing Co-Analysis," 24th International Symposium on Research in Attacks, Intrusions and Defenses (RAID), Oct. 2021.
16. Xiaobo Ma, Mawei Shi, Bingyu An, Jianfeng Li, Xiapu Luo, Junjie Zhang, and Xiaohong Guan, "Context-aware Website Fingerprinting over Encrypted Proxies," IEEE Conference on Computer Communications (INFOCOM), May 2021.
17. Jin Huang, Yu Li, Junjie Zhang, and Rui Dai, "UChecker: Automatically Detecting PHP-Based Unrestricted File Upload Vulnerabilities," 49th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), Portland, Oregon, USA, Jun. 2019.
18. Yu Li, Ivan Frasure, Ademola Ayodeji Ikusan, Junjie Zhang, and Rui Dai, "Vulnerability Assessment for Unmanned Systems Autonomy Services Architecture," 12th International Conference on Network and System Security (NSS), Hong Kong, China, Aug. 2018.
19. Soham Kelkar, Timothy Kraus, Daria Morgan, Junjie Zhang, and Rui Dai, "Analyzing HTTP-Based Information Exfiltration of Malicious Android Applications," IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2018.
20. Yu Li, Dae Wook Kim, Junjie Zhang, and Derek Doran, "Detecting Suspicious Members in An Online Emotional Support Service," International Conference on Security and Privacy in Communication Networks (SecureComm), 2018.
21. Jianfeng Li, Xiaobo Ma, Guodong Li, Xiapu Luo, Junjie Zhang, Wei Li, and Xiaohong Guan, "Can We Learn What People Are Doing from RAW DNS Queries?" IEEE Conference on Computer Communications (INFOCOM), 2018.
22. Mingxuan Sun, Guangyue Xu, Junjie Zhang, and Dae Wook Kim, "Tracking You Through DNS Traffic: Linking User Sessions By Clustering With Dirichlet Mixture Model," ACM International Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM), Nov. 2017.
23. Kevon Scott, Rui Dai, and Junjie Zhang, "Online-Relaying-Based Image Communication in Unmanned Aerial Vehicle Networks," IEEE International Conference on Communications (ICC), May 2017.
24. Dae Wook Kim and Junjie Zhang, "You Are How You Query: Deriving Behavioral Fingerprints From DNS Traffic," 11th International Conference on Security and Privacy in Communication Networks (SecureComm), Dallas, USA, 2015.
25. Xiaotian Wang, Matthew Davis, Junjie Zhang, and Vance Saunders, "Mission-Aware Vulnerability Assessment for Cyber-Physical Systems," 1st IEEE International Workshop on Trustworthy Software Systems (TrustSoft), Helsinki, Finland, 2015.
26. Jianfeng Li, Jing Tao, Xiaobo Ma, Junjie Zhang, and Xiaohong Guan, "Modeling Repeating Behaviors in Packet Arrivals: Detection and Measurement," IEEE Conference on Computer Communications (INFOCOM), Hong Kong, China, 2015.
27. Yu Li, Rui Dai, and Junjie Zhang, "Morphing Communications of Cyber-Physical Systems Towards Moving Target Defense," IEEE International Conference on Communications (ICC), Jun. 2014.
28. Junjie Zhang, Yinglian Xie, Fang Yu, David Soukal, and Wenke Lee, "Intention and Origination: An Inside Look at Large-Scale Bot Queries," 20th Annual Network and Distributed System Security Symposium (NDSS), San Diego, USA, 2013.
29. Liting Hu, Karsten Schwan, Ajay Gulati, Junjie Zhang, and Chengwei Wang, "Net-Cohort: Detecting and Managing VM Ensembles in Virtualized Data Centers," 9th International Conference on Autonomic Computing (ICAC), San Jose, USA, 2012.
30. Xiapu Luo, Peng Zhou, Junjie Zhang, Roberto Perdisci, Wenke Lee, and Rocky KC Chang, "Exposing invisible timing-based traffic watermarks with BACKLIT," 27th Annual Computer Security Applications Conference (ACSAC), Orlando, USA, 2011.
31. Junjie Zhang, Roberto Perdisci, Wenke Lee, Unum Sarfraz, and Xiapu Luo, "Detecting Stealthy P2P Botnets Using Statistical Traffic Fingerprints," 41st IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), Hong Kong, China, 2011.
32. Junjie Zhang, Christian Seifert, Jack W. Stokes, and Wenke Lee, "ARROW: Generating Signatures to Detect Drive-By Downloads," 20th International Conference on World Wide Web (WWW), Hyderabad, India, 2011.
33. Junjie Zhang, Xiapu Luo, Roberto Perdisci, Guofei Gu, Wenke Lee, and Nick Feamster, "Boosting the Scalability of Botnet Detection using Adaptive Traffic Sampling," 6th ACM Symposium on Information, Computer and Communications Security (ASIACCS), Hong Kong, China, 2011.
34. Xiapu Luo, Junjie Zhang, and Wenke Lee, "On the Secrecy of Spread-Spectrum Flow Watermarks," 15th European Symposium on Research in Computer Security (ESORICS), Athens, Greece, 2010.
35. Guofei Gu, Roberto Perdisci, Junjie Zhang, and Wenke Lee, "BotMiner: Clustering Analysis of Network Traffic for Protocol- and Structure-Independent Botnet Detection," 17th USENIX Security Symposium (USENIX Security), San Jose, CA, 2008.
36. Guofei Gu, Junjie Zhang, and Wenke Lee, "BotSniffer: Detecting Botnet Command and Control Channels in Network Traffic," 15th Annual Network and Distributed System Security Symposium (NDSS), San Diego, CA, Feb. 2008.

Journal Publications

1. Hootan Alavizadeh, Lingwei Chen, and Junjie Zhang, "Reparameterizing Adversarial Reprogramming in Low-Dimensional Subspace for Efficient Software Vulnerability Detection," Journal of Information Security and Applications, vol. 99, Art. no. 104443, Jun. 2026.
2. Daniel Grahn, Lingwei Chen, and Junjie Zhang, "Vul-Mixer: Efficient and Effective Machine Learning-Assisted Software Vulnerability Detection," Electronics, vol. 13, no. 13, Art. no. 2538, Jul. 2024.
3. Xiaobo Ma, Jian Qu, Mawei Shi, Bingyu An, Jianfeng Li, Xiapu Luo, Junjie Zhang, Zhenhua Li, and Xiaohong Guan, "Website Fingerprinting on Encrypted Proxies: A Flow-Context-Aware Approach and Countermeasures," IEEE/ACM Transactions on Networking, vol. 32, no. 3, pp. 1904–1919, Jun. 2024.
4. Mahendra Suthar, Rui Dai, Junjie Zhang, Sasu Tarkoma, and Ian F. Akyildiz, "Multi-Codec Rate Adaptive Point Cloud Streaming for Holographic Type Communication," ITU Journal on Future and Evolving Technologies, vol. 4, no. 4, pp. 590–603, Nov. 2023.
5. Yadong Zhou, Bowen Hu, Junjie Zhang, Liyuan Sun, Xingyu Zhu, and Ting Liu, "Detecting Suspicious Transactions in A Virtual-Currency-Enabled Online Social Network," Journal of Network and Computer Applications, vol. 211, Art. no. 103555, Feb. 2023.
6. Yu Li, Jin Huang, Ademola Ikusan, Milliken Mitchell, Junjie Zhang, and Rui Dai, "ShellBreaker: Automatically Detecting PHP-Based Malicious Web Shells," Computers & Security, vol. 87, Art. no. 101595, Nov. 2019.
7. Derek Doran, Luisa Massari, Maria Carla Calzarossa, Yu Li, Daniele Tessera, and Junjie Zhang, "User Interactions and Behaviors in A Large-Scale Online Emotional Support Service," Social Network Analysis and Mining, vol. 9, Art. no. 36, Jul. 2019.
8. Yuan Yang, Zhongmin Cai, Chunyan Wang, and Junjie Zhang, "Probabilistically Inferring Attack Ramifications Using Temporal Dependence Network," IEEE Transactions on Information Forensics and Security, vol. 13, no. 11, pp. 2913–2928, Nov. 2018.
9. Yu Li, Xiaotian Wang, Dae Wook Kim, Junjie Zhang, and Rui Dai, "Designing self-destructing wireless sensors with security and performance assurance," Computer Networks, vol. 141, pp. 44–56, Aug. 2018.
10. Yadong Zhou, Ximi Wang, Junjie Zhang, Peng Zhang, Lili Liu, Huan Jin, and Hongbo Jin, "Analyzing and Detecting Money-Laundering Accounts in Online Social Networks," IEEE Network, vol. 32, no. 3, pp. 115–121, May 2018.
11. Yadong Zhou, Kaiyue Chen, Junjie Zhang, Junyuan Leng, and Yazhe Tang, "Exploiting the Vulnerability of Flow Table Overflow in Software-Defined Network: Attack Model, Evaluation and Defense," Security and Communication Networks, vol. 2018, Art. no. 4760632, Jan. 2018.
12. Dae Wook Kim and Junjie Zhang, "Deriving and Measuring DNS-Based Fingerprints," Journal of Information Security and Applications, vol. 36, pp. 32–42, Oct. 2017.
13. Jianfeng Li, Xiaobo Ma, Junjie Zhang, Jing Tao, Pinghui Wang, and Xiaohong Guan, "Mining Repeating Pattern in Packet Arrivals: Metrics, Models, and Applications," Information Sciences, vol. 408, pp. 1–22, Oct. 2017.
14. Yadong Zhou, Dae Wook Kim, Junjie Zhang, Lili Liu, Huan Jin, Hongbo Jin, and Ting Liu, "ProGuard: Detecting Malicious Accounts in Social-Network-Based Online Promotions," IEEE Access, vol. 5, pp. 1990–1999, Jan. 2017 (Special Issue on Trust Management in Pervasive Social Networking (TruPSN)).
15. Dae Wook Kim, Peiying Yan, and Junjie Zhang, "Detecting Fake Anti-Virus Software Distribution Webpages," Computers & Security, vol. 49, pp. 95–106, Mar. 2015.
16. Xiaobo Ma, Junjie Zhang, Zhenhua Li, Jianfeng Li, Jing Tao, Xiaohong Guan, John C. S. Lui, and Don Towsley, "Accurate DNS Query Characteristics Estimation via Active Probing," Journal of Network and Computer Applications, vol. 47, pp. 72–84, Jan. 2015.
17. Xiaobo Ma, Junjie Zhang, Jing Tao, Jianfeng Li, Jue Tian, and Xiaohong Guan, "DNSRadar: Outsourcing Malicious Domain Detection Based on Distributed Cache-Footprints," IEEE Transactions on Information Forensics and Security, vol. 9, no. 11, pp. 1906–1921, Nov. 2014.
18. Junjie Zhang, Roberto Perdisci, Wenke Lee, Xiapu Luo, and Unum Sarfraz, "Building a Scalable System for Stealthy P2P-Botnet Detection," IEEE Transactions on Information Forensics and Security, vol. 9, no. 1, pp. 27–38, Jan. 2014.

Teaching

Courses taught at Wright State University:

• CEG 4430/6430: Cyber Network Security (sample lecture notes).
• CEG 7420: Software Reverse Engineering and Program Analysis (sample lecture notes).
• CEG 7600: Trust Networks.

Previously taught:

• CEG 7380: Cloud Computing.
• CS 7200: Algorithm Design and Analysis.

Ph.D. Students Advised to Completion

• Daniel J. Grahn, dissertation: "Understanding and Enhancing the Efficiency and Efficacy of Machine Learning-Assisted Software Vulnerability Detection," Dec. 2023. First employment: Principal Data Scientist, Altamira Technologies Corporation, Dayton, OH, USA.
• Jin Huang, dissertation: "Detecting Server-Side Web Applications with Unrestricted File Upload Vulnerabilities," May 2021. First employment: Software Engineer, Google Inc., Mountain View, CA, USA.
• Yu Li, dissertation: "Securing Modern Cyberspace using a Multi-Faceted Approach," May 2019. First employment: Tenure-Track Assistant Professor, School of Computer Science and Engineering, Northeastern University (China), Shenyang, Liaoning, China.
• Dae Wook Kim, dissertation: "Data-Driven Network-Centric Threat Assessment," May 2017. First employment: Tenure-Track Assistant Professor, Department of Computer Science, Eastern Kentucky University, Richmond, KY, USA.

M.S. Students Advised to Completion

• Chirag Bhaveshkumar Soni, thesis: "Cluster-Aware Vulnerability Detection: A Systematic Evaluation Across Imbalance Ratios," Jul. 2026.
• Neelima Gurram, thesis: "Do Graph Neural Network Explanations Hold Under Adversarial Attack? A Robustness Study of GNNExplainer," Apr. 2026.
• Atul Pokharel, thesis: "REFUN: A Reasoning-Guided Multi-Modal Mixture-of-Experts Framework for Open-Vocabulary Function Name Inference from Stripped Binaries," Apr. 2026.
• Hootan Alavizadeh, thesis: "Re-Parameterizing Adversarial Reprogramming in Low-Dimensional Subspace for Efficient Software Vulnerability Detection," Apr. 2025.
• James Paul MacLennan, thesis: "Path-Safe: Enabling Dynamic Mandatory Access Controls Using Security Tokens," Jul. 2023.
• David Elmo II, thesis: "The Open Charge Point Protocol (OCPP) Version 1.6 Cyber Range A Training and Testing Platform," Apr. 2023.
• Jacob S. Baumgarte, thesis: "Fuzzing PHP Interpreters By Automatically Generating Samples," Apr. 2023.
• Elijah Luke Meyer, thesis: "Evaluating Similarity of Cross-Architecture Basic Blocks," Apr. 2022.
• Daniel Chong, thesis: "Automatically Inferring Image Bases of ARM32 Binaries," Apr. 2022.
• Chuang Li, thesis: "Automatically Generating Searchable Fingerprints For WordPress Plugins Using Static Program Analysis," Apr. 2022.
• Jeremy Porter, thesis: "Detecting Malicious Behavior in OpenWrt with QEMU Tracing," Jul. 2019.
• Gregory S. Buthker, thesis: "Automated Vehicle Electronic Control Unit (ECU) Sensor Location Using Feature-Vector Based Comparisons," Apr. 2019.
• Jin Huang, thesis: "Building an Abstract-Syntax-Tree-Oriented Symbolic Execution Engine for PHP Programs," Apr. 2018.
• Ademola A. Ikusan, thesis: "Collaboratively Detecting HTTP-based Distributed Denial of Service Attack using Software Defined Network," Dec. 2017.
• Soham Kelkar, thesis: "Detecting Information Leakage in Android Malware Using Static Taint Analysis," Dec. 2017.
• Steven M. Kelbley, thesis: "Detecting PHP-based Cross-Site Scripting Vulnerabilities Using Static Program Analysis," Dec. 2016.
• Xiaotian Wang, thesis: "Mission-Aware Vulnerability Assessment for Cyber-Physical System," Aug. 2015.

Undergraduate Students

• Jacob Saunders, honors project: "Twitter Data Collection for Detection of Defamation," May 2013.
• Malcolm Richmond, undergraduate project on network penetration testing.

Professional Service

University Committees, Wright State University

• Member, Employee Health and Wellness Sub-Committee, Fall 2024–Summer 2026.
• Member, Academic Efficiency and Effectiveness Review Committee, Fall 2023.
• Member, University Honors Committee, 2021–2023.
• Member, Library Faculty Advisory Board, 2020–2021.

College Committees, Wright State University

• Member, Computer Science and Engineering Chair Search Committee, Apr. 2026.
• Member, Faculty Development Committee, 2025–2027.
• Member, College Bylaw Committee, Fall 2024.
• Member, Faculty Development Committee, 2021–2024.
• Member, Steering Committee, 2021–2023.
• Member, Graduate Studies Committee, 2020–2021.
• Member, Academic Computing Committee, 2015–2019.

Department Committees, Wright State University

• Chair (elected), Undergraduate Curriculum Committee, Aug. 2025–Aug. 2026.
• Member, Steering Committee, 2024.
• Chair (elected), Graduate Studies Committee, 2020–2021.
• Member, Faculty Search Committee, 2013, 2014, and 2020.
• Chair (elected), Undergraduate Curriculum Committee, 2017–2019.
• Member, BS in IT and Cyber Program Proposal Committee, 2017.
• Member, Graduate Studies Committee, multiple years.

Journal Reviewing

• IEEE/ACM Transactions on Networking.
• IEEE Transactions on Information Forensics and Security.
• IEEE Transactions on Dependable and Secure Computing.
• IEEE Transactions on Parallel and Distributed Systems.
• IEEE Transactions on Reliability.
• IEEE Transactions on Cognitive Communications and Networking.
• IEEE Journal on Selected Areas in Communications.
• ACM SIGCOMM Computer Communication Review (CCR).
• Computer Networks.
• Information Sciences.
• Computers & Security.
• Knowledge-Based Systems.
• Security and Communication Networks.
• Journal of Internet Services and Applications.
• Journal of Information Science and Engineering.
• International Journal of Agent Technologies and Systems.
• International Journal of Ad Hoc and Ubiquitous Computing.
• International Journal of Network Management.
• International Journal of Security and Networks.
• Semantic Web Journal.
• Computer Communications.
• IET Information Security.

Conference Technical Program Committee Membership

• EAI International Conference on Security and Privacy in Communication Networks (SecureComm).
• IEEE International Conference on Systems, Man, and Cybernetics (SMC).
• International Conference on Computer Communications and Networks (ICCCN).
• Information Security Conference (ISC).
• AAAI Conference on Artificial Intelligence (AAAI).
• Symposium on Electronic Crime Research (eCrime).

Advisory and External Review Boards

• Member, External Review Board, Computer Science Program, Air Force Institute of Technology (AFIT), 2026.
• Member, Advisory Panel, "Cyber Pro: Developing Rigorous and Enhanced Academic Modules (DREAMs)," Clark State Community College.

Data and Code

Reverse Engineering and Software Analysis

ARM32 image-base inference code (iBase)

Related publication: Daniel Chong, Junjie Zhang, Nathaniel Boland, and Lingwei Chen, "Automatically Inferring Image Base Addresses of ARM32 Binaries Using Architecture Features," 12th International Symposium on Security and Privacy on Internet of Things (SPIoT), Nov. 2023.

RearVul: Software Vulnerability Detection

RearVul dataset: Graph and Image Representations of Vulnerable and Non-Vulnerable Software Functions

Related publication: Hootan Alavizadeh, Lingwei Chen, and Junjie Zhang, "Reparameterizing Adversarial Reprogramming in Low-Dimensional Subspace for Efficient Software Vulnerability Detection," Journal of Information Security and Applications, vol. 99, Art. no. 104443, Jun. 2026.

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