Hung Cao

Research interests

• Explainable AI (XAI)/Embedded AI
• Internet of Things (IoT)
• Edge/Fog/Cloud Computing
• Machine learning
• Data Science
• Smart Cities
• Context-enriched Analytics
• Streaming Analytics
• Decision Intelligence
• TinyML/Federated Learning
• Cyber-Physical Systems (CPS)
• Real-time System

Dr. Hung Cao is affiliated with the University of New Brunswick as an Assistant Professor of Computer Science. He is a founding member and director of the Analytics Everywhere Lab (AELab) - a multidisciplinary research group focused on critical thinking, excellence, and innovation to foster future digital transformation and solve societal challenges. Under Dr. Cao's leadership, the AELab is at the forefront of cutting-edge research, driving impactful collaborations with multiple partners (e.g. academics, industries, governments, NGOs) and advancing the frontiers of AI, IoT, Edge Computing, and Smart City Applications. The AELab has been involved in different research projects in the field of IoT, Data Science, and AI (e.g., MITACS, NSERC Engage, NSERC/Cisco IRC projects) collaborating with different start-ups, SMEs, and large companies, including Cisco, NB Power, Eigen Innovation, Rimot, IntroHive, Codiac Transpo, HotSpot, etc. to develop working prototypes usable as templates for industry products.

Dr. Cao received his Ph.D. in Geomatics Engineering (specializing in Data Science) and Diploma in University Teaching from the University of New Brunswick in 2020 and 2018 respectively. He also received his M.Sc. in Computer Science from the University College Dublin (Ireland) in 2015, and the B.Eng. degree in Computer Engineering from the VNUHCM-University of Information Technology (Vietnam) in 2011. Prior to his current appointment, Dr. Cao served as a Postdoctoral Fellow and Data Scientist at the People in Motion Lab - UNB, where he developed the "Analytics Everywhere" framework. This framework is designed to analyze various types of data—spatio-temporal, transit, parking, health data, etc.—originating from diverse sensors and IoT devices with a wide range of applications and economic sectors. From 2011 to 2014, he was with the VNUHCM-University of Information Technology as a Researcher and Lecturer of Computer Engineering.

Dr. Cao has been a member of 21 Technical Communities (e.g. IEEE Smart City, Internet of Everything, Big Data, Cloud Computing, Intelligent Informatics, Wearable and Ubiquitous Computing, etc.). He is currently an Associate Editor of Discover Artificial Intelligence Journal and IET Smart Cities Journal, a Topic Editor appointed by Electronics Journal, a Guest Editor, and an Editor Board Member of many other Journals. He has served as a TPC member, conference program/session chair, and scientific reviewer invited by many conferences and journals. His research portfolio bridges the areas of Internet of Things (IoT), Explainable AI, Edge/Fog/Cloud Computing, Machine learning, Data Science, Context-enriched Analytics, Streaming Analytics, Decision Intelligence, TinyML/Federated Learning, Cyber-Physical Systems (CPS), and Real-time System.