Recent Talks
Keynote/Invited Talk/Lecture (Recent)
Prof. Honggang Wang was invited to give a keynote speech titled "Federated Learning for eHealth Applications", The IEEE 20th International Wireless Communications & Mobile Computing Conference (IWCMC 2024), 27–31 May 2024.
December 13, 2023: Prof. Honggang Wang was invited to give a keynote speech titled "AIoT for Wireless Health" at IEEE International Conference on Computer and Information Technology (ICCIT), 2023
May 2, 2023 Prof. Honggang Wang was invited to give a talk on IoT for Wireless Health for the NIH workshop titled "Brain Behavior Quantification and Synchronization: Sensor Technologies to Capture the Complexity of Behavior", at NIH Campus Natcher Auditorium, Bethesda, Maryland, May 2-3, 2023 (Details: NIH Workshop)
May 20, 2023 Prof. Honggang Wang was invited to give a Keynote on Security in Wireless Body Area Networks in IEEE INFOCOM 2023 ICCN Workshop, on May 20, 2023.
Feb 23, 2023 Prof. Honggang Wang was invited to give a Keynote on IoT for Smart and Connected Health in SensorNets 2023, on Feb. 23, 2023.
May 10, 2021 A KEYNOTE SPEAKER FOR THE 5TH IEEE INTERNATIONAL CONFERENCE ON SMART INTERNET OF THINGS
Title: IoT for Smart and Connected Health
Smart and Connected Health (SCH) is the use of Internet, sensing, communications and intelligent techniques in support of healthcare applications. Internet of Things (IoT) systems such as Wireless body area network (WBAN) system with various types of biomedical sensors is one of key infrastructures of SCH and provide an opportunity to address issues in rapidly increasing mHealth/eHealth applications. However, there are significant challenges in this area, such as improving the performance of WBANs, analytics of large and continuous physiological data collected from biomedical sensors and predictive modeling, and securing data transmission and protecting data privacy, especially in mobile and wireless environments. In this talk, I will present the research trends, challenges and potential IoT solutions in the related areas including the introduction of two case studies: (1) developing a wearable biosensor system for the remote detection of life threatening events in infants; (2) a security system to support reliable and secured data transmissions over WBANs.
April 5, 2021 FEATURED SPEAKER FOR IEEE SUMMIT ON COMMUNICATIONS FUTURES 2019, ARTIFICIAL INTELLIGENCE (AI) DRIVEN NETWORKS: CHALLENGES AND SOLUTIONS
Artificial Intelligence (AI) Driven Networks: Challenges and Solutions Abstract: Artificial Intelligence (AI) such as Machine learning is able to discover the hidden and complex relationships from input data to the network output. In the literature, AI has been explored to address multiple network issues such as routing and clustering, network scheduling, network security, network quality of service (QoS) as well as dynamic spectrum access. It has drawn much attention as a key tool for the design of future wireless networks including 5G. However, the evolution towards AI-based data driven network is at the early stage. There are still significant challenges in the area. For example, how to choose appropriate AI algorithms for different networking applications such as Internet of Things (IoT), connected health, smart cities and connected/autonomous vehicle? What types of data should be collected from networks so that the network behavior/pattern could learned to optimize whole network performance? How the AI could re-design the networks and secure them, and etc.. In this work, we will present these challenges in details and discuss the potential solutions that could overcome performance limitations by exploring AI as a tool for the future wireless networks.
Wireless health is the use of Internet, sensing, wireless communications and intelligent techniques in support of healthcare applications. Wireless body area networks (WBANs) with various types of biomedical sensors is one of major infrastructures of connected health and provide an opportunity to address issues in rapidly increasing wireless health applications. However, there are significant challenges in the area, such as improving the performance of WBANs, analytics of large and continuous physiological data collected from biomedical sensors and predictive modeling, and securing data transmission and protecting data privacy, especially in mobile and wireless environments. In this talk, I will introduce two case studies in the related area: (1) developing a wearable biosensor system for the remote detection of life threatening events in infants; (2) a security system to support reliable and secured data transmissions over WBANs.
November 10, 2020 A LIGHTNING TALK IN NSF SUPPORTED NATIONAL RADIO DYNAMIC ZONES (NRDZ) PARTNERSHIP MEETING
Speakers will be asked to talk about their vision of NRDZs, their research investigations related to NRDZs and their opinion on what should the Research Partnership pursue.
Smart and Connected Health (SCH) is the use of Internet, sensing, communications and intelligent techniques in support of healthcare applications. Internet of Things (IoT) systems such as Wireless body area network (WBAN) system with various types of biomedical sensors is one of key infrastructures of SCH and provide an opportunity to address issues in rapidly increasing mHealth/eHealth applications. However, there are significant challenges in this area, such as improving the performance of WBANs, analytics of large and continuous physiological data collected from biomedical sensors and predictive modeling, and securing data transmission and protecting data privacy, especially in mobile and wireless environments. In this talk, I will present the research trends, challenges and potential IoT solutions in the related areas including the introduction of two case studies: (1) developing a wearable biosensor system for the remote detection of life threatening events in infants; (2) a security system to support reliable and secured data transmissions over WBANs.