Jiacun Wang received a Ph.D. in computer engineering from Nanjing University of Science and Technology (NJUST), China in 1991. He is currently a Professor in the Computer Science and Software Engineering Department at Monmouth University, West Long Branch, New Jersey. From 2001 to 2004, he was a member of scientific staff with Nortel Networks in Richardson, Texas. Prior to joining Nortel, he was a research associate of the School of Computer Science, Florida International University (FIU) at Miami. Prior to joining FIU, he was an associate professor at NJUST.

Dr. Wang has published four books and about 300 papers. He is a Member-at-Large of the Board of the Governors of the IEEE SMC Society. He was the AVP Finance (2021-2023) and the Secretary of the Organizing and Planning Committee (2017-2018) if the society. He is the founding Editor-in-Chief of the International Journal of Artificial Intelligence and Manufacturing Systems, an Associate Editor of several international journals. He has served as general chair, program chair, program co-chair, or special sessions chair for many international conferences. Dr. Wang has been a senior member of IEEE since 2000.

Education

Ph.D., Nanjing University of Science and Technology

ME, Nanjing University of Science and Technology

BE, Jiangsu University

Research Interests

Dr. Wang’s research interests include machine learning, software engineering, discrete event systems, formal methods, and real-time distributed systems. Most recently, he has been focusing his research on AI and computer vision.

Google Scholar:

https://scholar.google.com/citations?hl=en&user=CVMyNegAAAAJ&view_op=list_works

&sortby=pubdate

Books

VLN Komanapalli, N Sivakumaran, S Hampannavar, Advances in Automation, Signal Processing, Instrumentation, and Control: Select proceedings of i-CASIC, Springer, ISBN 978-981-15-8220-2, March 2020

J. Wang and W. Tepfenhart, Formal Methods in Computer Science, CRC Press, ISBN 978-1-498-775328, June 2019

J. Wang, Real-time Embedded Systems, Wiley, ISBN: 978-1-118-11617-3, July 2017

J. Wang, Handbook on Finite State Based Models and Applications, CRC Press, 2012.

J. Wang, Timed Petri Nets: Theory and Application, Kluwer Academic Publishers, 1998.

Book Chapters:

• J. Wang, Healthcare Patient Flow Modeling and Analysis with Timed Petri Nets, in: Advances in Computing, Informatics, Networking and Cybersecurity, Springer-Nature, 2022.
• J. Wang, Petri Nets, Handbook of Finite State Based Models and Applications, Ed. J. Wang, Chapman & Hall, August 2012.
• Rosca, W. Tepfenhart, J. Wang and A. Milewski, “Continuous curriculum restructuring in a graduate software engineering program,” in: Software Engineering: Effecting Teaching and Learning Approaches and Practices. Ed: Ellis, H., Demurjian, S and Naveda, F., IGI Global, 2008.
• J. Wang, “Petri Nets for Dynamic Event-Driven System Modeling,” in: Handbook of Dynamic System Modeling, Ed: Paul Fishwick, CRC Press, 2007.

Scholarly Articles

C Zhu, L Cui, Y Tang, J Wang, “The Evolution and Future Perspectives of Artificial Intelligence-Generated Content,” IEEE Transactions on Systems, Man, and Cybernetics: Systems 56 (1), 546-564, Jan. 2026

A Das, M Abecasis*, T Farrell*, I Sasson*, SR Velandia*, B Tortorelli*, J Wang, “Curating Dataset Pipelines to Train Medical Chatbots on Early Sepsis Detection,” International Journal of Artificial Intelligence and Green Manufacturing, 1 (4), Dec. 2025

K Zhang, Y Xiao, J Wang, X Sheng, Z Zheng, C Shi, Z Zhao, “Perspective and Attribute-Based Self-Supervised Conditional GAN for Few-Shot Bolt Defect Image Generation and Classification,” IEEE Transactions on Power Delivery, Oct. 2025

Z Du, S Yan, J Wang, X Guo, S Liu, “TPH-SMOTE: A Tri-Process Heuristic Oversampling Approach Integrating SMOTE and Whale Optimization for Imbalanced Binary Classification,” Expert Systems with Applications, 130952, Dec. 2025

C Jin, M Lin, F Wu, X Wu, Y Zhou, J Wang, “TVMTrailer: a Text-Video-Music AIGC Framework for Film Trailer Generation,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 55, no. 9, 2025.

C Xu, P Zhu, J Wang, G Fortino, “Improving the Local Diagnostic Explanations of Diabetes Mellitus with the Ensemble of Label Noise Filters,” Information Fusion 117, 102928, 2025

Y Hu, J Wang, “Probabilistic Memory-Enhanced Recognition-Primed Decision Model and its Application to Pilot Decision-Making in Midair Encounters,” Expert Systems with Applications 266, 125907, 2025

M Yang, G Liu, Z Zhou, J Wang, “Probabilistic Automata-Based Method for Enhancing Performance of Deep Reinforcement Learning Systems,” IEEE/CAA Journal of Automatica Sinica 11 (11), 2327-2339, 2024

Presentations/Invited Talks

Plenary talk on “Workflow resource requirement modeling and analysis,” Macau University of Science and Technology, Macau, Oct. 14, 2015.

“Workflow resource requirement analysis,” Zhejiang University of Science and Technology, Hangzhou, China, Oct. 29, 2015.

“Workflow nets,” Shanghai Finance and Economy University, Shanghai, China, Sept. 23, 2014.

“Gesture recognition and application,” Nanjing Univ., Nanjing, China, Sept. 22, 2014.

“Workflow nets,” Tongji University, Shanghai, China, July 1, 2013.

“Petri net based resource modeling and analysis for workflows,” Tongji University, Shanghai, China, May 27, 2012.

“Petri net based resource modeling and analysis for workflows,” Donghua University, Shanghai, China, May 28, 2012.

Invited seminar talk on “Agent based workflow modeling”, University of Texas at Dallas, March 9, 2012.

“Software architecture modeling and analysis,” Tongji University, Shanghai, China, June 25, 2011.

Invited 2-day lecturing on “Emergency response and Petri net modeling,” Nanjing University of Science and Technology, Nanjing, China, June 7-8, 2011.

Professional Associations

IEEE Senior Member, since 2000.

Awards

Distinguished Scholar Award, Monmouth University, 2025.

Mexico CONACYT program “Estancia Sabatica en Mecico para Eranjeroa,” 2015-2016.

Best Student Paper, International Conference on Computational Social Science, 2021.