Makes learning feel rewarding and fun.
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Feng Wang is an Associate Professor (tenured since 2018) in the Department of Computer and Information Science at the University of Mississippi, where he previously served as Assistant Professor from 2012 to 2018. He earned his PhD in Computing Science from Simon Fraser University in 2012, with a dissertation titled Reliable and Energy-Efficient Data Collection in Wireless Sensor Networks supervised by Professor Jiangchuan Liu. His earlier degrees include a Master of Engineering in Computer Science and Technology from Tsinghua University in 2005 and a Bachelor of Engineering in the same field from Tsinghua University in 2002. Wang's research interests focus on computer networking, specifically wireless sensor/mesh networks, peer-to-peer networks, socialized content sharing, cyber-physical systems, Internet of Things, cloud/edge computing, crowdsourcing, big data, and applications of deep learning in computer networking. He is a Senior Member of IEEE.
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.
