2023 Annual Distinguished Lecture Series Talks -- continued

#intelligence #computational #communications

IEEE Vehicular Technology Chapter of IEEE Toronto Section, is pleased to announce our annual Distinguished Lecturer (DL) Series Talks on May 23, 2023. This series of talks will be a great opportunity to exchange with our colleagues and Chapter members in Toronto area. Details of the events are given below. All are welcome! Pizza lunch will be provided. 

  Date and Time




  • Date: 23 May 2023
  • Time: 10:00 AM to 02:00 PM
  • All times are (UTC-05:00) Central Time (US & Canada)
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  • SHE651 (99 Gerrard Street East)
  • Toronto, Ontario
  • Canada
  • Building: SHE (Sally Horsfall Eaton Centre)

  • Contact Event Host



Over-the-Air Federated Learning with Massive MIMO Using Antenna Selection

Over-the-air federated learning (OTA-FL) has been recently proposed as an enabling technology for learning a shared model collaboratively in a wireless network in a privacy-preserving fashion.  With the implementation of massive MIMO, the large antenna array provides a promising beamforming gain at the server, and hence leads to a considerable suppression of error in the over-the-air aggregation step. This talk will present our recent work that studies OTA-FL in massive MIMO systems by considering a realistic scenario in which the edge server, despite its large antenna array, is restricted in the number of radio frequency (RF)-chains. For this setting, the beamforming for over-the-air model aggregation needs to be addressed jointly with antenna selection. This leads to an NP-hard problem due to the integral nature of the optimization. We tackle this problem via two different approaches, which will be briefly introduced in this talk. Our experimental restuls depict that learning performance of scenario with all the antennas being active at the parameter server (PS) can be closely tracked by selecting less than 20% of the antennas at the PS.


Dr. Ping Wang is an Associate Professor at the Department of Electrical Engineering and Computer Science, York University, and a Tier 2 York Research Chair. Prior to that, she worked with Nanyang Technological University, Singapore, from 2008 to 2018. Her research interests are mainly in the area of wireless communication networks, cloud computing and Internet of Things with the recent focus on integrating Artificial Intelligence (AI) techniques into communications networks. She has published more than 250 papers/conference proceedings papers. Her scholarly works have been widely disseminated through top-ranked IEEE journals/conferences and received the Best Paper Awards from IEEE Wireless Communications and Networking Conference (WCNC) in 2022, 2020 and 2012, from IEEE Communication Society: Green Communications & Computing Technical Committee in 2018, and from IEEE International Conference on Communications (ICC) in 2007. Her work received 21,000+ citations with H-index 70 (Google Scholar). She is an IEEE Fellow and a Distinguished Lecturer of the IEEE Vehicular Technology Society.


Network control and management for ultra-dense LEO satellite networks

With the rapid development of low earth orbit (LEO) satellites, the ultra-dense LEO satellite-terrestrial integrated networking has become a promising paradigm to provide wide coverage, high capacity, and flexible services for the sixth generation (6G) mobile communication networks. In this talk, an integration of medium earth orbit (MEO) satellites, LEO satellites, and satellite early stations (SESs) is introduced to implement seamless connectivity and high-speed data rate service. For service provision, the service data needs to go through a series of on-board processing, before being downloaded to the terrestrial network for further applications. To this end, service function chain (SFC), an ordered concatenation of network functions (NFs), is introduced to support service provision. By allocating the constituent NFs over the network, three efficient multiple service delivery schemes are proposed to minimize the overall delivery completion latency, while considering resource sharing and competition among multiple SFCs.


Dr. Lian Zhao received her Ph.D. degree from the Department of Electrical and Computer Engineering (ELCE), University of Waterloo, Canada, in 2002. She joined the Department of Electrical, Computer, & Biomedical Engineering at Toronto Metropolitan University (formerly Ryerson University), Toronto, Canada, in 2003 and as a professor in 2014. She has been a distinguished lecture for IEEE Communication Society (ComSoc) (2020-2021) and IEEE Vehicular Technology Society (VTS) (starting July 2022). She has been serving as an Editor for IEEE Trans. on wireless communication, Trans. on vehicular technologies, and IEEE Internet of Things Journal. She has served various Chair positions in organizating IEEE conferences. She received the Best Land Transportation Paper Award from IEEE Vehicular Technology Society in 2016; Best Paper Award from the 2013 International Conference on Wireless Communications and Signal Processing (WCSP) and Best Student Paper Award (with her student) from Chinacom in 2011; the Canada Foundation for Innovation (CFI) New Opportunity Research Award in 2005.


Network resource management for supporting digital twins with data age targets

Digital twins (DTs) are virtual implementations of physical systems (PSs) and can represent the states of the PSs in realtime. In order to update the DTs with changes in their corresponding PSs, the PSs should regularly send their state information data to the DTs. Each DT must be assigned to an execution server (ES) that processes the forwarded data from its corresponding PS. The output is then made available to applications that are operating at an internet cloud server. In this talk we consider the problem of DT placement and server time allocations such that the maximum data request-response delay experienced by the application over all PSs is minimized, subject to maximum data age target constraints at the DTs and the application server. The problem is first formulated as an integer quadratic program (IQP) and then transformed into a semidefinite program (SDP). The problem is NP-complete. Since exact polynomial solutions are unavailable, several practical polynomial-time approximation algorithms are introduced. The algorithms are designed to give solutions with different trade-offs between the accommodation of the application input timing latency and the achievement of data age targets.


Dongmei Zhao received her BS degree in Wireless Communication from Northern Jiaotong University (now Beijing Jiaotong University), Beijing, China in 1992 and a Ph.D degree in the Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, Canada in June 2002. In July 2002 she joined the Department of Electrical and Computer Engineering at McMaster University, where she is a full professor. From April 2004 to March 2009 she was an adjunct Assistant Professor in the Department of Electrical and Computer Engineering at University of Waterloo. Dr. Zhao is an editor of the IEEE Internet of Things Journal. She served as an editor of the IEEE Transactions on Vehicular Technology from 2007 to 2017. She also served as an editor for EURASIP Journal on Wireless Communications and Networking and Journal of Communications and Networks.

Prof. Zhao is a leading co-chair of the Project & Awards committee in the IEEE ComSoc Frontier Networking Symposium 2023, a co-chair of the Mobile and Wireless Networks Symposium of IEEE Global Communications Conference (GLOBECOM) 2020, a co-chair of the Wireless Networking Symposium in IEEE GLOBECOM 2007, a co-chair of the Green Computing, Networking, and Communications Symposium (GCNC) in International Conference on Computing, Networking and Communications 2020, a co-chair of the technical program committee for IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD) 2016, a co-chair of the General Symposium of the International Wireless Communications and Mobile Computing (IWCMC) Conference 2007, and  a co-chair of the Vehicular Networks Symposium of IWCMC from 2012 to 2023. She has been in Technical Program Committee of many international conferences in her fields. She has been an expert panel member for NSERC (Natural Science Engineering Research Council of Canada) from 2021-2023.

She is a member of IEEE and a Professional Engineer of Ontario. Her current research areas are mainly in digital twins, mobile computation offloading, energy efficient wireless networking, and vehicular communication networks.