Rate My Professor Feng Wang

Wang has received major awards including the IEEE INFOCOM 2020 Distinguished TPC Member Award, ACM BuildSys 2018 Best Paper Award, ACM/IEEE IWQoS 2016 Best Paper Candidate, and IEEE ICME 2011 Quality Reviewer Award. He was the sole Computer Science faculty on NSF I/UCRC grants for the Center for Broadband Wireless Access and Applications (BWAC) at the University of Mississippi: Planning Grant (2014-2015, $13,869), Phase I (2015-2020, $325,000), and Phase II (2018-2023, $102,500). Key publications include "DeepCast: Towards Personalized QoE for Edge-Assisted Crowdcast with Deep Reinforcement Learning" (IEEE/ACM Transactions on Networking, 2020), "An Urban Mobility Model with Buildings Involved: Bridging Theory to Practice" (ACM Transactions on Sensor Networks, 2020), "Cooperative Relay Selection for Load Balancing with Mobility in Hierarchical WSNs: A Multi-Armed Bandit Approach" (IEEE Access, 2020), "GazMon: Eye Gazing Enabled Driving Behavior Monitoring and Prediction" (IEEE Transactions on Mobile Computing, 2019), and "Demystifying the Crowd Intelligence in Last Mile Parcel Delivery for Smart Cities" (IEEE Network Magazine, 2019). He has held leadership roles such as TPC co-chair for IEEE CloudCom 2017 (IoT and Mobile on Cloud track) and Program Vice Chair for International Conference on Internet of Vehicles 2014.