Alan Bovik (NAE/NAI member, IEEE Life Fellow)
Cockrell Family Regents Endowed Chair Professor, University of Texas at Austin, USA
Keynote Talk Title: Secrets of Video Quality
Time: 8:30am-9:30am, Monday, February 17, 2025
Abstract:
Predicting perceptual video quality is a hard problem that has been successfully addressed in many
scenarios, such as quality control of streaming and sharing of videos. However, videos continue to “get bigger”
along every dimension including frame rate, bit depth, color gamut, spatial dimensionality, and fusion with
generative methods. In this talk I will address how perceptual video quality can be understood using principles of
visual neuroscience and neuro-statistical models of distortion. In particular I will review the basic vision science
that makes accurate perceptual video quality prediction possible, how algorithms can be designed that are now
used worldwide, and I will also discuss extensions to new and timely problems that involve the quality prediction
of high/variable frame rate videos (HFR/VFR), which are of interest for future live sport streaming, and high
dynamic range videos (HDR), which are becoming common in video streaming of home cinema.
Biography:
Al Bovik is the Cockrell Family Regents Endowed Chair Professor at The
University of Texas at Austin. His research interests land at the nexus of visual neuroscience
and digital pictures and videos. His work broadly focuses on creating new theories and
algorithms that allow for the perceptually optimized streaming and sharing of visual media.
The outcomes of his work have the benefits of ensuring the visual satisfaction of billions of
photographic, television, broadcast, streaming, home cinema, and social media viewers
worldwide, while contributing to substantially reduced global bandwidth consumption. An
elected member of the U.S. National Academy of Engineering, the Indian National Academy
of Engineering, the National Academy of Inventors, and Academia Europaea, his many
honors include the IEEE Edison Medal, Primetime Emmy Award, Technology & Engineering Emmy Award, RPS
Progress Medal, and Edwin H. Land Medal.
Changwen Chen (IEEE/SPIE Fellow, MAE)
Chair Professor, The Hong Kong Polytechnic University, China
Keynote Talk Title: Contemporary Visual Computing for 6G Semantic Communications:
Challenges and Opportunities
Time: 8:30am-9:30am, Tuesday, February 18, 2025
Abstract:
This talk shall focus on contemporary visual computing research trends with critical implications
for 6G semantic communications. Semantic communication was initially proposed by Weaver
and Shannon 70+ years ago in the early 1950s in which they outlined the classical definition of
three levels of communications: the technical problem, the semantic problem, and the
effectiveness problem. Until 5G, most researchers and practitioners have been working on the
first technical problem. For 6G, semantic communication becomes necessary to handle the
overwhelming volume of visual data among all IP traffic. We firmly believe that a paradigm-
shifting framework needs to be designed to transport the volumetric visual data under the 6G
mobile communication architecture. We shall demonstrate that recent technical advances in
contemporary visual computing bear great potential for 6G semantic communication. In
particular, a significant portion of volumetric visual data has been acquired for machine
intelligence purposes. Therefore, structured extraction and representation of the semantics from
these visual data become necessary to facilitate efficient 6G semantic communication. For
contemporary visual computing, the well-structured scene graph generation (SGG) approaches
have been shown capable of compactly representing the logical relationship among the subjects
and objects we can detect from the visual data. We shall also show the challenges and
opportunities as we adopt structured SGG for application to semantic communication towards
future advances in integrating visual computing with 6G mobile communications.
Biography:
Chang Wen Chen is currently Chair Professor of Visual Computing at The Hong
Kong Polytechnic University. Before his current position, he served as Dean of the
School of Science and Engineering at The Chinese University of Hong Kong,
Shenzhen from 2017 to 2020, and concurrently as Deputy Director at Peng
Cheng Laboratory from 2018 to 2021. Previously, he has been an Empire
Innovation Professor at the State University of New York at Buffalo (SUNY) from
2008 to 2021 and the Allan Henry Endowed Chair Professor at the Florida
Institute of Technology from 2003 to 2007. He received his BS degree from the
University of Science and Technology of China in 1983, an MS degree from the
University of Southern California in 1986, and his PhD degree from the University
of Illinois at Urbana Champaign (UIUC) in 1992.
He has served as an Editor-in-Chief for IEEE Trans. Multimedia (2014-2016) and for IEEE Trans. Circuits and Systems for Video Technology (2006-2009). He has received many professional achievement awards, including ten (10) Best Paper Awards or Best Student Paper Awards, the prestigious Alexander von Humboldt Award in 2010, the SUNY Chancellor’s Award for Excellence in Scholarship and Creative Activities in 2016, and UIUC ECE Distinguished Alumni Award in 2019. He is an IEEE Fellow, a SPIE Fellow, and a Member of Academia Europaea.
Kaushik Rajashekara (NAE member, IEEE/NAI/SAE Fellow)
Distinguished Professor of Engineering, University of Houston, USA
Keynote Talk Title: Challenges and future trends in electrification of transportation
Time: 8:30am-9:30am, Wednesday, February 19, 2025
Abstract:
The automotive and aerospace industries are facing significant challenges in improving emissions and fuel economy while simultaneously reducing overall costs. Another shared trend is the shift from mechanical and pneumatic systems to electrical systems, accelerating the transition toward “more electric” architectures and electric/hybrid propulsion systems. In the automotive sector, substantial progress has been made in developing electric, hybrid, and fuel cell vehicles. Similarly, the aerospace industry is advancing with more electric architectures, fuel cell technologies, and hybrid propulsion strategies. Additionally, there is growing interest in flying cars and electric vertical take-off and landing (eVTOL) vehicles, which are being explored as air taxis. This presentation examines the current challenges and future trends in enabling technologies for key propulsion system components, including batteries, power electronics, and electric motors, for both electric vehicles and electric/hybrid aircraft. Various vehicle systems, including hydrogen-based solutions, will also be briefly discussed. Furthermore, the presentation will highlight the synergy between electric road vehicles and electric aircraft systems, fostering innovation and further advancements in these fields.
Biography:
Kaushik Rajashekara (Fellow, IEEE) received the Ph.D. degree in electrical engineering from the Indian Institute of Science, Bangalore, India. In 1989, he joined the Delphi division of General Motors Corporation in Indianapolis, USA, as a Staff Project Engineer. In Delphi and General Motors, he held various lead technical and managerial positions, and was a Technical Fellow and the Chief Scientist for developing propulsion and power electronics systems for electric, hybrid, and fuel cell vehicle systems. In 2006, he joined Rolls-Royce Corporation, as a Chief Technologist for electric systems for electric and hybrid aircraft systems. In August 2012, he joined as a Distinguished Professor of Engineering with the University of Texas at Dallas, TX, USA. Since September 2016, he has been a Distinguished Professor of engineering in University of Houston, Houston, TX, USA. He has authored or coauthored over 300 papers in international journals and conferences, has 37 US and 15 foreign patents, and has written one book. He has over 250 invited presentations in international conferences and universities. He has received a number of awards including the 2022 Global Energy Prize, 2021 IEEE Medal on Environment & Safety Technologies, and 2013 IEEE Richard Harold Kaufmann Award for his contributions to electrification of transportation and renewable energy. He was elected as a member of the U.S. National Academy of Engineering in 2012, a Fellow of the National Academy of Inventors in 2015, and an International Fellow of Indian (2013), Chinese (2021), and Japanese (2024) Academies of Engineering. His research interests include power/energy conversion, transportation electrification, renewable energy, and microgrid systems.
Masayuki Ariyoshi (IEICE Fellow)
Professor, Tohoku University, Japan
Keynote Talk Title: Creating Value through Space Integrated Networks towards 6G
Time: 8:30am-9:30am, Thursday, February 20, 2025
Abstract:
Future networks, including Beyond 5G/6G, are expected with the challenging requirements where
all devices are permanently reachable to/from the network and receive reliable services with low
latency. To achieve this, it is necessary to enable network connectivity everywhere around the
globe, including in suburban and maritime areas, and to establish high-speed links even in remote
areas. Integrating non-terrestrial networks (NTN) using satellite constellations with evolving
terrestrial mobile/fixed networks is a promising approach, and various studies on space-air-
ground integrated networks (SAGIN) or even space-air-ground-sea integrated networks
(SAGSIN) are underway.
In this keynote talk, first, the trends surrounding satellite constellations and the expected direction of value creation will be discussed from the perspective of the space business. Then, the technical challenges that need breakthroughs for space-integrated networks and some of the research topics undertaken by the NEC × Tohoku University Co-Creation Research Institute of Space Integrated Network for Resilient Digital Transformation will be introduced including AI-based network control for optical-based SAGIN system.
Biography:
Masayuki Ariyoshi has been engaged in research and development in wireless communications
and radar-based sensing for more than 30 years. He is currently a Senior Principal Researcher at
Advanced Network Research Laboratories, NEC Corporation, leading the next-generation mobile
R&D projects whose scope includes space-air-ground integrated networks. Concurrently, he has
been appointed as a Research Professor at the Graduate School of Information Science, Tohoku
University, directing the NEC x Tohoku University Co-Creation Institute of Space-Integrated
Network for Resilient Digital Transformation since its establishment in November 2023. He
received BE and ME degrees in electrical engineering and PhD in information and computer
science from Keio University, Japan. He is a Fellow of IEICE.
Nei Kato (IEEE/IEICE Fellow)
Professor, Tohoku University, Japan
Keynote Talk Title: Multi-AP Coordination Approaches over Emerging WLANs: Future Directions and Open Challenges
Time: 8:30am-9:30am, Thursday, February 20, 2025
Abstract:
The 802.11 IEEE standard aims to update current Wireless Local Area Network (WLAN) standards to meet the high demands of future applications, such as 8K videos, augmented/virtual reality (AR/VR), the Internet of Things, telesurgery, and more. Two of the latest developments in WLAN technologies are IEEE 802.11be and 802.11ay, also known
as Wi-Fi 7 and WiGig, respectively. These standards aim to provide Extremely High Throughput (EHT) and lower latencies. IEEE 802.11be includes new features such as 320 MHz bandwidth, multi-link operation, Multi-user Multi-Input Multi-Output (MIMO), orthogonal frequency-division multiple access, and Multiple-Access Point (multi-AP) cooperation (MAP-Co) to achieve EHT. With the increase in the number of overlapping Access Points (APs) and inter-AP interference, researchers have focused on studying MAP-Co approaches for coordinated transmission in IEEE 802.11be, making MAP-Co a key feature of future WLANs. Additionally, the high overlapping AP densities in EHF bands, due to their smaller coverage, must be addressed in future standards beyond IEEE 802.11ay, specifically with respect to the challenges of implementing MAP-Co over 60GHz bands. In this talk, the state-of-the-art in MAP-Co features and their drawbacks concerning emerging WLAN, several novel future directions and open challenges will be provided.
Biography: Nei Kato is a full professor and the Dean with Graduate School of Information Sciences(GSIS) and was the Director(2015-2019) of Research Organization of Electrical Communication(ROEC) and the Strategic Adviser(2013) to the President, Tohoku University. He has been engaged in research on computer networking, wireless mobile communications, satellite communications, ad hoc & sensor & mesh networks, UAV networks, smart grid, AI, IoT, Big Data, and pattern recognition. He has published more than 500 papers in prestigious peer-reviewed journals and conferences(Google Scholar citation 28000, h-index 87). He is the Editor-in-Chief of IEEE Internet of Things Journal, the Fellow Committee Chair of IEEE Vehicular Technology Society, Chair of IEEE Communications Society Sendai Chapter, and the Area Editor of IEEE Transactions on Wireless Communications. He served as the Vice-President (Membership & Global Activities) of IEEE Communications Society(2018-2021), the Editor-in-Chief of IEEE Network Magazine (2015-2017), the Editor-in-Chief of IEEE Transactions on Vehicular Technology(2017-2021), a Member-at-Large on the Board of Governors, IEEE Communications Society(2014-2016), a Vice Chair of Fellow Committee of IEEE Computer Society(2016), and a member of IEEE Communications Society Award Committee (2015-2017). He has also served as the Chair of Satellite and Space Communications Technical Committee (2010-2012) and Internet of Things, Ad Hoc and Sensor Networks Technical Committee (2014-2015) of IEEE Communications Society. His awards include Minoru Ishida Foundation Research Encouragement Prize(2003), Distinguished Contributions to Satellite Communications Award from the IEEE Communications Society, Satellite and Space Communications Technical Committee(2005), the FUNAI information Science Award(2007), the TELCOM System Technology Award from Foundation for Electrical Communications Diffusion(2008), the IEICE Network System Research Award(2009), the IEICE Satellite Communications Research Award(2011), the KDDI Foundation Excellent Research Award(2012), IEICE Communications Society Distinguished Service Award(2012), IEICE Communications Society Best Paper Award(2012), Distinguished Contributions to Disaster-resilient Networks R&D Award from Ministry of Internal Affairs and Communications, Japan(2014), Outstanding Service and Leadership Recognition Award 2016 from IEEE Communications Society Ad Hoc & Sensor Networks Technical Committee, Radio Achievements Award from Ministry of Internal Affairs and Communications, Japan (2016), IEEE Communications Society Asia-Pacific Outstanding Paper Award(2017 and 2019), Prize for Science and Technology from the Minister of Education, Culture, Sports, Science and Technology, Japan(2018), Award from Tohoku Bureau of Telecommunications, Ministry of Internal Affairs and Communications, Japan(2018), IEEE Transactions on Computers 2018 Best Paper Award, IEEE Communications Society Green Communications and Computing Technical Committee Distinguished Technical Achievement Recognition Award(2019), Clarivate Analytics Highly Cited Researchers(2019,2020,2021,2022,2023), IEEE Vehicular Technology Society Outstanding Service Award(2022), IEEE Vehicular Technology Society The Stuart F. Meyer Memorial Award(2023), and Best Paper Awards from IEEE ICC/GLOBECOM/WCNC/VTC. Nei Kato is a Distinguished Lecturer of IEEE Communications Society and Vehicular Technology Society. He is a Fellow of The Engineering Academy of Japan, Fellow of IEEE, and Fellow of IEICE.
Zhu Han (IEEE/ACM/AAAS Fellow)
John and Rebecca Moores Professor, University of Houston, USA
Plenary Talk Title: Hybrid Quantum-Classic Computing for Future Network Optimization and Machine Learning
Time: 1:30pm-2:30pm, Thursday, February 20, 2025
Abstract:
Benefited from the technology development of controlling quantum particles and constructing quantum hardware, quantum computation has attracted more and more attention in recent years. This talk will give an introduction of quantum computing and its applications in network optimization. We first introduce the basics of quantum computing and what quantum parallelism is. Second, we will discuss the adiabatic quantum computing math model and one real implementation, Quadratic Unconstrained Binary Optimization (QUBO) on D-wave quantum annealer. Then we propose a hybrid quantum Benders’ decomposition algorithm for joint quantum and classic CPU/GPU computing. Finally, we will discuss how our proposed framework can be employed in 6G network optimization, smart grid, and machine learning, as well as other quantum techniques such as Quantum Approximate Optimization Algorithm (QAOA).
Biography:
Zhu Han received the B.S. degree in electronic engineering from Tsinghua University, in 1997, and the M.S. and Ph.D. degrees in electrical and computer engineering from the University of Maryland, College Park, in 1999 and 2003, respectively. From 2000 to 2002, he was an R&D Engineer of JDSU, Germantown, Maryland. From 2003 to 2006, he was a Research Associate at the University of Maryland. From 2006 to 2008, he was an assistant professor at Boise State University, Idaho. Currently, he is a John and Rebecca Moores Professor in the Electrical and Computer Engineering Department as well as the Computer Science Department at the University of Houston, Texas. Dr. Han is an NSF CAREER award recipient of 2010, and the winner of the 2021 IEEE Kiyo Tomiyasu Award (an IEEE Field Award). He has been an IEEE fellow since 2014, an AAAS fellow since 2020, and ACM fellow since 2024. He is an IEEE Distinguished Lecturer from 2015 to 2018, and an ACM Distinguished Speaker from 2022-2025. Dr. Han is also a 1% highly cited researcher since 2017.
H. Vincent Poor ( (NAS/NAE, IEEE/AAAS Fellow))
Michael Henry Strater University Professor, Princeton University, USA
Plenary Talk Title: Integrated Sensing and Communications: Tradeoffs and Designs
Time: 1:30pm-2:30pm, Tuesday, February 18, 2025
Abstract:
Communications and radar are two major consumers of radio spectrum. Integrated sensing and communications (ISAC) is an approach to mitigating this bandwidth consumption by integrating communications and sensing functions in the same waveform. ISAC is expected to be an important aspect of next-generation communication systems, with applications ranging from environmental monitoring to human-computer interaction. This talk will discuss inherent tradeoffs arising in ISAC systems and present some approaches to ISAC design.
Biography:
H. Vincent Poor is the Michael Henry Strater University Professor at Princeton University, where research interests are in the areas of information theory, machine learning and network science, and their applications in wireless networks, energy systems and related fields. He has also held visiting appointments at several other universities as well, including most recently at Berkeley and Cambridge. Among his recent publications is the book Machine Learning and Wireless Communications (Cambridge University Press, 2022). Dr. Poor is a member of the U.S. National Academy of Engineering and the U.S. National Academy of Sciences, and he is a foreign member of the Chinese Academy of Science, the Royal Society and other national and international academies. He received the IEEE Alexander Graham Bell Medal in 2017.
Marco Di Renzo (IEEE Fellow)
Professor, Paris-Saclay University, France
Plenary Talk Title: Stacked Intelligent Metasurfaces: Communication, Computing and Sensing in the Wave Domain
Time: 2:30pm-3:30pm, Thursday, February 20, 2025
Abstract:
Next-generation wireless networks are expected to utilize the limited radio frequency resources more efficiently with the aid of intelligent transceivers. In this talk, we propose a recent transceiver architecture that relies on stacked intelligent metasurfaces (SIM). An SIM is constructed by stacking an array of programmable metasurface layers, where each layer consists of a massive number of simple meta-atoms that individually manipulate the electromagnetic waves. We provide an overview of SIM-aided MIMO transceivers, including their novelty, hardware architecture, and potential benefits over state-of-the-art solutions for communication, computing, and sensing applications.
Biography:
Marco Di Renzo received the Laurea (cum laude) and Ph.D. degrees in electrical engineering from the University of L’Aquila, Italy, in 2003 and 2007, respectively, and the Habilitation à Diriger des Recherches (Doctor of Science) degree from University Paris-Sud (currently Paris-Saclay University), France, in 2013. Currently, he is a CNRS Research Director (Professor) and the Head of the Intelligent Physical Communications group in the Laboratory of Signals and Systems (L2S) at Paris-Saclay University – CNRS and CentraleSupelec, Paris, France. Also, he is an elected member of the L2S Board Council and a member of the L2S Management Committee, and is a Member of the Admission and Evaluation Committee of the Ph.D. School on Information and Communication Technologies, Paris-Saclay University. He is a Founding Member and the Academic Vice Chair of the Industry Specification Group (ISG) on Reconfigurable Intelligent Surfaces (RIS) within the European Telecommunications Standards Institute (ETSI), where he served as the Rapporteur for the work item on communication models, channel models, and evaluation methodologies. He is a Fellow of the IEEE, IET, EURASIP, and AAIA; an Academician of AIIA; an Ordinary Member of the European Academy of Sciences and Arts, an Ordinary Member of the Academia Europaea; an Ambassador of the European Association on Antennas and Propagation; and a Highly Cited Researcher. Also, he holds the 2023 France-Nokia Chair of Excellence in ICT at University of Oulu (Finland), he holds the Tan Chin Tuan Exchange Fellowship in Engineering at Nanyang Technological University (Singapore), and he was a Fulbright Fellow at City University of New York (USA), a Nokia Foundation Visiting Professor at Aalto University, Finland; and a Royal Academy of Engineering Distinguished Visiting Fellow at Queen's University Belfast, U.K. His recent research awards include the 2021 EURASIP Best Paper Award, the 2022 IEEE COMSOC Outstanding Paper Award, the 2022 Michel Monpetit Prize conferred by the French Academy of Sciences, the 2023 EURASIP Best Paper Award, the 2023 IEEE ICC Best Paper Award, the 2023 IEEE COMSOC Fred W. Ellersick Prize, the 2023 IEEE COMSOC Heinrich Hertz Award, the 2023 IEEE VTS James Evans Avant Garde Award, the 2023 IEEE COMSOC Technical Recognition Award from the Signal Processing and Computing for Communications Technical Committee, the 2024 IEEE COMSOC Fred W. Ellersick Prize, the 2024 Best Tutorial Paper Award, and the 2024 IEEE COMSOC Marconi Prize Paper Award in Wireless Communications. He served as the Editor-in-Chief of IEEE Communications Letters during the period 2019-2023, and he is now serving on the Advisory Board. He is currently serving as a Voting Member of the Fellow Evaluation Standing Committee and as the Director of Journals of the IEEE Communications Society. Since 2025, he has been listed in the Who's Who in France biographical dictionary.
Matthew Valenti (IEEE Fellow)
Professor, West Virginia University, USA
Plenary Talk Title: Building a Secure 6G: Lessons from 5G Vulnerabilities and Future Directions
Time: 2:30pm-3:30pm, Wednesday, February 19, 2025
Abstract:
The security requirements of 6G mobile networks are expected to be significantly more complex than those of 5G, driven by the proliferation of massive machine-type communications (mMTC), the stringent demands of secure ultra-reliable low-latency communication (sURLLC), and the frequent handovers necessitated by small cells and non-terrestrial networks (NTN). However, because 6G is anticipated to be an extension of 5G, it is important to learn from vulnerabilities in 5G to inform how security should be integrated into 6G networks. This talk begins with a review of 5G security procedures, focusing on how security contexts are initiated and handed off, as these are particularly vulnerable operations. Several known exploits are reviewed, and possible solutions considered. As 6G is only now beginning to be standardized, it is our hope that some of these recommendations are incorporated into the final standard.
Biography:
Matthew Valenti is a Professor in the Lane Department of Computer Science and Electrical Engineering at West Virginia University. Dr. Valenti's research and teaching interests are in the application areas of wireless networking, biometric identification, and cybersecurity. He received B.S. and Ph.D. degrees from Virginia Tech and an M.S. from the Johns Hopkins University. He previously worked as an Electronics Engineer at the U.S. Naval Research Laboratory. Dr. Valenti serves as Director of the Center for Identification Technology Research (CITeR) at WVU, which is an NSF-funded Industry/University Cooperative Research Center (I/UCRC). Dr. Valenti also serves as the main point-of-contact (PoC) for the National Center of Academic Excellence in Cybersecurity (NCAE-C) designation bestowed upon WVU by the National Security Agency (NSA). He is recipient of the 2019 MILCOM Award for Sustained Technical Achievement. Dr. Valenti is registered as a Professional Engineer (P.E.) in the state of West Virginia and is a Fellow of the IEEE.
Jie Wu (IEEE/AAAS Fellow, MAE)
Laura H. Carnell Professor, Temple University, USA
Plenary Talk Title: On Optimal Offloading of DNNs from IoTs to Cloud
Time: 1:30pm-2:30pm, Wednesday, February 19, 2025
Abstract:
As Deep Neural Networks (DNNs) have been widely used in various applications, including computer vision on image segmentation and recognition, it is important to reduce the makespan of DNN computation, especially when running on IoT devices. Offloading is a viable solution that offloads computation from a slow IoT device to a fast, but remote server in cloud. As DNN computation consists of a multiple-stage processing pipeline, it is critical to decide on what stage should offloading occur to minimize the makespan. Our observations show that the local computation time on a mobile device follows a linear increasing function, while the offloading time on a mobile device is monotonic decreasing and follows a convex curve as more DNN layers are computed in the mobile device. Based on this observation, we first study the optimal partition and scheduling for one line-structure DNN. Then, we extend the result to multiple line-structure DNNs. Heuristic results for general-structure DNNs, represented by Directed Acyclic Graphs (DAGs), are also discussed based on a path-based scheduling policy. Our proposed solutions are validated via real system implementation.
Biography:
Jie Wu is Laura H. Carnell Professor at Temple University and the Director of the Center for Networked Computing (CNC). He served as Chair of the Department of Computer and Information Sciences from the summer of 2009 to the summer of 2016 and Associate Vice Provost for International Affairs from the fall of 2015 to the summer of 2017. Prior to joining Temple University, he was a program director at the National Science Foundation and was a distinguished professor at Florida Atlantic University. His current research interests include mobile computing and wireless networks, routing protocols, network trust and security, distributed algorithms, applied machine learning, and cloud computing. Dr. Wu regularly published in scholarly journals, conference proceedings, and books. He serves on several editorial boards, including IEEE Transactions on Service Computing, IEEE/ACM Transactions on Networking, and Journal of Computer Science and Technology. Dr. Wu is/was general chair/co-chair for IEEE IPDPS'23, ACM MobiHoc'23, and IEEE CCGrid 2024 as well as program chair/cochair for IEEE INFOCOM’11, CCF CNCC’13, and ICCCN’20. He was an IEEE Computer Society Distinguished Visitor, ACM Distinguished Speaker, and chair for the IEEE Technical Committee on Distributed Processing (TCDP). Dr. Wu is a Fellow of the AAAS and a Fellow of the IEEE. He is a Member of the Academia Europaea (MAE).
Liuqing Yang (IEEE/AAIA Fellow)
Chair Professor, The Hong Kong University of Science and Technology-Guangzhou, China
Plenary Talk Title: Collaborative Edge Computing in Low-Altitude Vehicular Networks
Time: 2:30pm-3:30pm, Monday, February 18, 2025
Abstract:
The low-altitude vehicular network (LAVN) is an integrated air-ground network that incorporates unmanned aerial vehicles (UAVs) and electric vertical take-off and landing aircraft (EVTOLs) into terrestrial vehicular networks. This integration enables efficient and reliable data transmission among aerial and ground vehicles, providing critical support for the development of future three-dimensional intelligent transportation systems that span both ground and low-altitude airspace. With the rapid growth of low-altitude vehicles and connected autonomous vehicles, the demand for LAVN-based computing is expected to surge, leading to challenges such as mismatched computing requirements, highly dynamic resource needs, and imbalanced computing power across regions. This presentation will begin with an overview of the opportunities and challenges in LAVN-based edge computing. It will then introduce a UAV-empowered collaborative edge computing framework designed specifically for LAVN, with a focus on techniques to enable effective, privacy-preserving, and trustworthy inter-region collaboration.
Biography:
Prof. Liuqing Yang received the Ph.D. degree from the University of Minnesota, Minneapolis, MN, USA, in 2004. She is a Fellow of IEEE and AAIA. Prof. Yang has been a faculty member with University of Florida, Colorado State University, and University of Minnesota, and is currently a Chair Professor with the Hong Kong University of Science and Technology (Guangzhou), where she serves as the Acting Director of the Low-Altitude Systems and Economy Research Institute (LASERi), and the Head of the Intelligent Transportation (INTR) Thrust. Her research interests include communications, sensing, and networked intelligence, subjects on which she has published more than 400 journal and conference papers, four book chapters, and five books. She is a recipient of the ONR YIP Award in 2007, the NSF CAREER Award in 2009, and multiple Best Paper Awards. Prof. Yang is an Executive Editorial Committee (EEC) Member of the IEEE Transactions on Wireless Communications. She has also served as the Editor-in-Chief of IET Communications, on the editorial board for an array of elite journals including IEEE Transactions on Signal Processing, IEEE Transactions on Communications, and the IEEE Transactions on Intelligent Transportation Systems, in various roles of IEEE ComSoc and IEEE ITSS, as well as in leadership roles for many conferences.