Benedict Jun MA
Office E2-603
No.1 Du Xue Rd
Guangzhou
China
junm AT hkust-gz.edu.cn
Hi! My name is Benedict Jun Ma (馬軍). I am currently a tenure-track Assistant Professor in the Thrust of Intelligent Transportation at The Hong Kong University of Science and Technology (Guangzhou), where I am leading the Intelligent Logistics and Supply Chain Analytics (iLSCA) Lab. My research explores how emerging technologies enhance the modeling, optimization, and control of systems in transportation, logistics, and supply chains. Specifically, my research directions include Smart warehousing and logistics, AI-driven human-robot collaboration, and Human-AI collective intelligence.
I am actively seeking self-motivated and hardworking PhD/MPhil students to work on various research topics in my group. Candidates with a strong background in Computer Science, Automation, Industrial Engineering, Transportation, or Applied Mathematics are encouraged to apply, expected to enroll in Fall 2027. I also welcome research assistants and visiting students to work together and provide adequate financial support.
Prior to joining HKUST(GZ), I was a Postdoctoral Associate in the Center for Transportation & Logistics (CTL), Massachusetts Institute of Technology. I was also affiliated with the MIT Supply Chain Management and the MIT Digital Supply Chain Lab. I earned my PhD in the Department of Data and Systems Engineering from The University of Hong Kong, supervised by Prof. Yong-Hong Kuo and Prof. George Q. Huang.
news
| Sep 01, 2026 | 🏛️ Five of my students (Xin-Can, Mia, Frederick, Jian, and Zecheng) officially started their doctoral studies at HKUST(GZ) (26 Fall). |
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| Sep 01, 2026 | 🎓 CHEN Weiying and GU Songtao (research assistants at iLSCA) began their master’s studies at Sun Yat-sen University and Tongji University, respectively. Congrats to them. |
| Aug 20, 2026 | 🎤 Congrats to Songtao and Man, they presented their recent research at IEEE CASE 2026. |
| Jul 29, 2026 | 🎤 Congrats to Benedict. He chaired the session and presented the work on “Hybrid Robotic Bin-Picking Systems” at INFORMS TSL 2026. |
| Jul 28, 2026 | 📄 The collaborative paper by Cornell and HKUST(GZ), “Leveraging Digital Twins for Urban Health and Sustainability: A Case Study for Urban Air Quality Management in Manhattan”, has been online in Environmental Modelling & Software. |