Zimo Wang

Zimo Wang is an Assistant Professor at the School of Systems Science and Industrial Engineering, Binghamton University. He holds a PhD in Industrial Engineering from Texas A&M University (2020), an MS in Mechatronics Engineering, and a BS in Industrial Engineering, both from Harbin Institute of Technology, China. His research focuses on smart manufacturing, integrating sensors, AI, and data science to enhance manufacturing processes, including additive manufacturing, precision machining, and material characterization. He explores applications in autonomous systems, smart logistics via UAVs, and sustainable manufacturing.

Education:

• PhD in Industrial Engineering, Texas A&M University (2020)
• MS in Mechatronics Engineering, Harbin Institute of Technology (China)
• BS in Industrial Engineering, Harbin Institute of Technology (China)

Research Interests:

• Smart manufacturing and advanced manufacturing processes
• Machine learning and statistical modeling for process monitoring
• Acoustic emission (AE) sensing and material characterization
• Unmanned aerial vehicle (UAV) applications in smart logistics
• Sustainable manufacturing and quality assurance

Recent work emphasizes real-time process diagnostics, nanomachining optimization, and resilient manufacturing systems. His articles highlight innovations in sensor-based approaches, such as Bayesian filtering for dynamic intermittency and vision-based UAV control for material handling.

Awards and Recognition:

• NSF Travel Awards (2015, 2018)
• Best Student Paper Award, ISERC QCRE Division (2014)
• INFORMS Student Chapter Cum Laude Award (2017)

Advising and Grants: While no students are listed here, his research has been supported by grants from NSF and industry collaborations. Notable contributions include developing autonomous laser kirigami systems and smart sensing frameworks for precision manufacturing.

Labs and Teams: Active in Binghamton’s Systems Science and Industrial Engineering research groups, focusing on cyber-physical systems integration and sustainable manufacturing innovations.