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Speaker: Wei Ni

Affiliation: School of Engineering, Edith Cowan University, Perth, WA, Australia

Abstract: TBD

Biography: Wei Ni (Fellow, IEEE) received the B.E. and Ph.D. degrees in electronic engineering from Fudan University, Shanghai, China, in 2000 and 2005, respectively. He is the Associate Dean (Research) with the School of Engineering, Edith Cowan University, Perth; an Adjunct Professor with the University of Technology Sydney; and a Technical Expert with Standards Australia. He was the Deputy Project Manager with Alcatel/Alcatel-Lucent Bell Labs from 2005 to 2008; a Senior Research Engineer with Nokia from 2008 to 2009; and a Senior Principal Research Scientist and Group Leader with the Commonwealth Scientific and Industrial Research Organization from 2009 to 2025. His research interests include distributed and trusted learning with constrained resources. He was a co-recipient of the ACM Conference on Computer and Communications Security (CCS) 2025 Distinguished Paper Award and four best paper awards. He was the Chair of the IEEE VTS NSW Chapter (2020–2022), the Workshop Co-Chair for ICC 2027, the PC Co-Chair for MSN 2026, the Track Chair for VTC-Spring 2017, the Track Co-Chair for IEEE VTC-Spring 2016, the Publication Chair for BodyNet 2015, and the Student Travel Grant Chair for WPMC 2014. He has been an Editor or a Senior Area Editor of IEEE Transactions on Wireless Communications since 2018, IEEE Transactions on Vehicular Technology since 2022, IEEE Transactions on Information Forensics and Security since 2024, IEEE Communication Surveys and Tutorials since 2024, IEEE Transactions on Network Science and Engineering since 2025, and IEEE Transactions on Cloud Computing since 2025.

Reciprocity-Based Bistatic ISAC in 6G

Speaker: Jinho Choi

Affiliation: University of Adelaide, Australia

Abstract:

6G networks and beyond are expected to integrate sensing and communication to enable environment-aware wireless systems. This talk presents a reciprocity-based bistatic ISAC framework that exploits the reciprocal nature of wireless propagation to perform cooperative sensing without requiring tight synchronization among distributed nodes.

Through the exchange of sensing roles between transmitters and receivers, the proposed approach improves target resolvability and localization accuracy by leveraging complementary observations. Furthermore, by exploiting reciprocity in propagation delays, target pairing methods are developed to distinguish real targets from ghost targets. An analytical framework is also presented to characterize pairing errors and reveal the impact of sensing geometry and delay estimation accuracy. The results demonstrate the potential of reciprocity as a key enabler of synchronization-free distributed sensing in future 6G networks.

Biography:

Jinho Choi was born in Seoul, Korea. He received the B.E. degree, magna cum laude, in electronics engineering from Sogang University, Seoul, in 1989, and the M.S.E. and Ph.D. degrees in electrical engineering from the Korea Advanced Institute of Science and Technology, in 1991 and 1994, respectively. He is a Professor with the School of Electrical and Mechanical Engineering, University of Adelaide, Australia.

His research interests include the Internet of Things, wireless communications, and statistical signal processing. He authored two books published by Cambridge University Press in 2006 and 2010 and one book by Wiley-IEEE in 2022. Professor Choi received a number of best paper awards, including the 1999 Best Paper Award for Signal Processing from EURASIP.

He is a Fellow of the IEEE and has been listed among the World’s Top 2% Scientists by Stanford University since 2020. He is currently a Senior Editor of IEEE Wireless Communications Letters and an Associate Editor of IEEE Transactions on Mobile Computing. He has also served as a Division Editor of the Journal of Communications and Networks and as an Associate Editor or Editor of several journals, including IEEE Transactions on Communications, IEEE Communications Letters, Journal of Communications and Networks, IEEE Transactions on Vehicular Technology, and ETRI Journal.

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Speaker: J. Andrew Zhang

Affiliation: School of Electrical and Data Engineering, Global BigData Technologies Centre, University of Technology Sydney, Sydney, Australia

Abstract: TBD

Biography: J. Andrew Zhang (Senior Member, IEEE) received the B.Sc. degree from Xi’an Jiaotong University, China, in 1996, the M.Sc. degree from Nanjing University of Posts and Telecommunications, China, in 1999, and the Ph.D. degree from The Australian National University, Australia, in 2004.,He was a Researcher with Data61, CSIRO, Australia, from 2010 to 2016, the Networked Systems, NICTA, Australia, from 2004 to 2010, and ZTE Corporation, Nanjing, China, from 1999 to 2001. He is currently a Professor with the School of Electrical and Data Engineering, University of Technology Sydney, Australia. His research interests include signal processing for wireless communications and sensing, with a focus on integrated sensing and communications. He has published over 350 papers in leading journals and conference proceedings, and has won seven best paper awards for his work. He was a recipient of the CSIRO Chair’s Medal and Australian Engineering Innovation Award in 2012 for exceptional research achievements in multi-gigabit wireless communications.

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Speaker: Nan Yang

Affiliation: School of Engineering, The Australian National University, Canberra, ACT, Australia

Abstract: TBD

Biography: Nan Yang (Senior Member, IEEE) received the B.S. degree in electronics from China Agricultural University in 2005 and the M.S. and Ph.D. degrees in electronic engineering from Beijing Institute of Technology in 2007 and 2011, respectively. He has been with The Australian National University since July 2014, where he currently works as a Professor at the School of Engineering. His current research interests include terahertz communications, ultra-reliable low latency communications, cyber-physical security, and molecular communications. He received the IEEE ComSoc Asia–Pacific Outstanding Young Researcher Award in 2014 and the Best Paper Awards from IEEE ComSoc SPCC-TC 2024, IEEE ICC 2024, IEEE GLOBECOM 2022, IEEE GLOBECOM 2016, and IEEE VTC 2013-Spring. He also received the Exemplary Editor Award from IEEE Communications Letters, the Top Editor Award from Transactions on Emerging Telecommunications Technologies, the Exemplary Reviewer Awards from IEEE Transactions on Communications, IEEE Wireless Communications Letters, and IEEE Communications Letters, and the Top Reviewer Award from IEEE Transactions on Vehicular Technology from 2012 to 2023. He is serving on the Editorial Board for IEEE Transactions on Molecular, Biological, and Multi-Scale Communications, IEEE Open Journal of the Communications Society, and IEEE Communications Letters, and was served on the Editorial Board for IEEE Transactions on Wireless Communications and IEEE Transactions on Vehicular Technology. He was an IEEE Vehicular Technology Society Distinguished Lecturer from 2025 to 2027 and was an IEEE ComSoc Distinguished Lecturer from 2023 to 2024.

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Speaker: Raheeb Muzzafar

Affiliation: Silicon Austria Labs GmbH, Austria

Abstract: TBD

Biography: Dr. Raheeb Muzaffar has more than 15 years of experience in the field of communication engineering and information technology both in the academic and industrial sectors. He is currently working as a senior scientist in the wireless communication research unit at Silicon Austria Labs. He received the M.S. degree in information technology from the National University of Sciences and Technology, Pakistan in 2006 and a Doctorate degree in 2016 in the field of Electronic Engineering from the University of Klagenfurt, Austria and Queen Mary University of London, United Kingdom under the Erasmus Mundus joint Doctorate programme specializing in multimedia communication in drone networks. From 2016 to 2020, he worked as a researcher with Lakeside Labs GmbH, Austria where he was involved in several projects related to drone navigation and communication using WiFi and 4G/5G cellular systems. His current work focuses on the research and development of 5G/6G communication for the industrial internet of things, wireless time-sensitive networking, and communication functional safety. Post his M.S. degree he gained more than 6 years of professional experience with national and multinational organizations in IT, telecom, network, system, and web administration. His technical expertise extends to system analysis, design, quality assurance, and capacity building. He has authored several research articles published in prestigious journals and conferences and has been involved in several national and international research projects.

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Speaker: Jingge Zhu

Affiliation: Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, VIC, Australia

Abstract: TBD

Biography: Jingge Zhu (Member, IEEE) received the B.S. and M.S. degrees in electrical engineering from Shanghai Jiao Tong University, Shanghai, China, the Dipl.-Ing. degree in technische informatik from Technische Universität Berlin, Berlin, Germany, and the Doctorat ès Sciences degree from École Poly-technique Fédérale (ÉPFL), Lausanne, Switzerland. He was a Post-Doctoral Researcher with the University of California, Berkeley. He is currently a Senior Lecturer with The University of Melbourne, Australia. His research interests include information theory with applications in communication systems and machine learning. He received the Discovery Early Career Research Award (DECRA) from Australian Research Council in 2021, the IEEE Heinrich Hertz Award for Best Communications Letters in 2013, the Early Post-Doctoral Mobility Fellowship from the Swiss National Science Foundation in 2015, and Chinese Government Award for Outstanding Students Abroad in 2016.

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Speaker: Changsheng You

Affiliation: Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China

Abstract: TBD

Biography: Changsheng You (Member, IEEE) received the B.Eng. degree from the University of Science and Technology of China (USTC) in 2014 and the Ph.D. degree from The University of Hong Kong (HKU) in 2018. He was a Research Fellow with the National University of Singapore (NUS). He is currently an Assistant Professor with the Southern University of Science and Technology. His research interests include near-field communications, intelligent reflecting surfaces, UAV communications, and edge computing and learning. He received the IEEE ComSoc Asia–Pacific Region Outstanding Paper Award in 2019, the IEEE ComSoc Best Survey Paper Award in 2021, the IEEE ComSoc Best Tutorial Paper Award in 2023, and the IEEE ComSoc Leonard G. Abraham Prize in 2025. He is listed as a Clarivate Highly Cited Researcher from 2024 to 2025 and the IEEE ComSoc Asia–Pacific Best Young Researcher in 2024. He serves as an Editor for IEEE Transactions on Wireless Communications, IEEE Transactions on Mobile Computing, IEEE Transactions on Green Communications and Networking, IEEE Open Journal of the Communications Society, and IEEE Communications Letters.

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Speaker: Mukhtar Hussain

Affiliation: Charles Darwin University, Australia

Abstract: TBD

Biography: Dr. Mukhtar Hussain received the Ph.D. degree in Cyber Security from Queensland University of Technology, Australia, in 2022, the Master’s degree in Information and Communication Engineering from Xi’an Jiaotong University, China, in 2016, and the Bachelor’s degree in Electrical Engineering with a specialization in Telecommunications from COMSATS, Pakistan, in 2013. His research interests are broadly in cyber security, with particular focus on wireless communication security, zero trust architecture, and anomaly detection. He has extensive experience in academic research and industry-aligned teaching, combining strong technical expertise with a commitment to practical applications in secure and resilient communication systems.

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Speaker: Xiaoxu Zhang

Affiliation: School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China

Abstract: TBD

Biography: Xiaoxu Zhang (associate professor, IEEE Senior Member) received her PhD degree in communication and information systems from University of Electric Science and Technology of China (UESTC) in 2019. From August 2017 to August 2018, she was with the department of Electrical and Computer Engineering, McGill University, as a visiting scholar. She joined the Southwest Jiaotong University (SWJTU) in 2019. Her main research areas are wireless communications, sparse signal processing, high mobility communications, Bayesian inference for data analysis, machine learning, and artificial intelligence. She is currently a reviewer for international journals and conference papers such as IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, IEEE Wireless Communications Letters and IEEE Vehicular Technology Conference.

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Speaker: Xiaoyang Li

Affiliation: Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China

Abstract: TBD

Biography: Xiaoyang Li (Member, IEEE) received the Ph.D. degree from The University of Hong Kong. He is currently an Assistant Professor with the Southern University of Science and Technology. His research interests include integrated sensing-communication-computation and edge learning. He was a recipient of Young Elite Scientists Sponsorship Program by CAST, Forbes China 30 under 30, Young Elite of G20, Overseas Youth Talent in Guangdong, Overseas High-Caliber Personnel in Shenzhen, Outstanding Research Fellow in Shenzhen, and the Best Paper Award of Fourth IEEE International Symposium on Joint Communications & Sensing; and the Exemplary Reviewers of IEEE Wireless Communications Letters and Journal of Information and Intelligence. He has served as an Editor for JII, and the Workshop Chairs for IEEE ICASSP/WCNC/PIMRC/MIIS/MediCom.