Honggang Zhang

Areas of Expertise

• Edge computing, deep reinforcement learning, mobile computing, Internet of things, computer networking

Degrees

• PhD, Computer Science, University of Massachusetts Amherst

Professional Publications & Contributions

• “A Deep Reinforcement Learning Approach to Multi-component Job Scheduling in Edge Computing”, Zhi Cao, Honggang Zhang, Yu Cao, and Benyuan Liu, in the 15th IEEE International Conference on Mobile Ad-hoc and Sensor Networks (IEEE MSN 2019), December 11-13, 2019, Hong Kong, China.
• “A Near Optimal Multi-Faced Job Scheduler for Datacenter Workloads”, Hengky Susanto, Ahmed Sayed, Honggang Zhang, Benyuan Liu and Don Towsley, in the 39th IEEE International Conference on Distributed Computing Systems (IEEE ICDCS 2019). Dallas, TX, July 7-10, 2019.
• “QoE-driven computation offloading for Edge Computing”, Jie Luo, Xiaoheng Deng, Honggang Zhang, Huamei Qi. Journal of Systems Architecture (JSA), Vol 97, pages 34-39, published by Elsevier, 2019.
• “Design and Evaluation of a Prediction-based Dynamic Edge Computing System”, Enlu Liu, Xiaoheng Deng, Zhi Cao, Honggang Zhang (2018). IEEE Global Communications Conference (Globecom) 2018. December 9-13, 2018. Abu Dhabi, UAE.
• “A Game-theoretic Framework for Revenue Sharing in Edge-Cloud Computing System”, Zhi Cao, Honggang Zhang, Benyuan Liu, Bo Sheng (2018). The 37th IEEE International Performance Computing and Communications Conference (IPCCC 2018). November 17-19th, 2018, Orlando, FL, USA.

Mobile and Pervasive Computing

• Mobile and Pervasive Computing Lab at UMass Boston is led by Dr. Honggang Zhang, who joined the Engineering Department at the University of Massachusetts Boston as an associate professor in fall 2015. He received his PhD degree from the Computer Science Department in University of Massachusetts Amherst in 2006, and he was in the research group led by Prof. Jim Kurose and Prof. Don Towsley during 2001‐2006. He received a NSF CAREER Award in 2009 while he was an assistant professor in computer science at Suffolk University in Boston, MA. He is currently an associate editor of IEEE Internet of Things Journal.