Invited Speakers of 2024
Prof. Pascal Lorenz, University of Haute-Alsace, France
Biography: Pascal Lorenz (lorenz@ieee.org) received his M.Sc. (1990) and Ph.D. (1994) from the University of Nancy, France. Between 1990 and 1995 he was a research engineer at WorldFIP Europe and at Alcatel-Alsthom. He is a professor at the University of Haute-Alsace, France, since 1995. His research interests include QoS, wireless networks and high-speed networks. He is the author/co-author of 3 books, 3 patents and 200 international publications in refereed journals and conferences. He was Technical Editor of the IEEE Communications Magazine Editorial Board (2000-2006), IEEE Networks Magazine since 2015, IEEE Transactions on Vehicular Technology since 2017, Chair of IEEE ComSoc France (2014-2020), Financial chair of IEEE France (2017-2022), Chair of Vertical Issues in Communication Systems Technical Committee Cluster (2008-2009), Chair of the Communications Systems Integration and Modeling Technical Committee (2003-2009), Chair of the Communications Software Technical Committee (2008-2010) and Chair of the Technical Committee on Information Infrastructure and Networking (2016-2017), Chair of IEEE/ComSoc Satellite and Space Communications Technical (2022-2023), IEEE R8 Finance Committee (2022-2023), IEEE R8 Conference Coordination Committee (2023). He has served as Co-Program Chair of IEEE WCNC'2012 and ICC'2004, Executive Vice-Chair of ICC'2017, TPC Vice Chair of Globecom'2018, Panel sessions co-chair for Globecom'16, tutorial chair of VTC'2013 Spring and WCNC'2010, track chair of PIMRC'2012 and WCNC'2014, symposium Co-Chair at Globecom 2007-2011, Globecom'2019, ICC 2008-2010, ICC'2014 and '2016. He has served as Co-Guest Editor for special issues of IEEE Communications Magazine, Networks Magazine, Wireless Communications Magazine, Telecommunications Systems and LNCS. He is associate Editor for International Journal of Communication Systems (IJCS-Wiley), Journal on Security and Communication Networks (SCN-Wiley) and International Journal of Business Data Communications and Networking, Journal of Network and Computer Applications (JNCA-Elsevier). He is senior member of the IEEE, IARIA fellow and member of many international program committees. He has organized many conferences, chaired several technical sessions and gave tutorials at major international conferences. He was IEEE ComSoc Distinguished Lecturer Tour during 2013-2014.
Speech Title: Advanced architectures of Next Generation Wireless Networks
Abstract: Internet Quality of Service (QoS) mechanisms are expected to enable wide spread use of real time services. New standards and new communication architectures allowing guaranteed QoS services are now developed. We will cover the issues of QoS provisioning in heterogeneous networks, Internet access over 5G networks and discusses most emerging technologies in the area of networks and telecommunications such as IoT, SDN, Edge Computing and MEC networking. We will also present routing, security, baseline architectures of the inter-networking protocols and end-to-end traffic management issues.
Prof. Abdellatif KOBBANE, Mohammed V University in Rabat, Morocco
Biography: Dr. Abdellatif KOBBANE is currently serving as a Full Professor at the Ecole Nationale Supérieure d'Informatique et d'Analyse des Systèmes (ENSIAS), Mohammed V University in Rabat, Morocco, since 2009. , jointly awarded by Mohammed V-Agdal University (Morocco) and the University of Avignon (France). He previously received a Master of Science in Computer Science, Telecommunication, and Multimedia from Mohammed V-Agdal University in 2003. Additionally, Dr. Kobbane holds the position of Adjunct Professor at the L2TI laboratory, Paris 13 University, France.
His research interests primarily revolve around wireless mobile networking, performance evaluation, flexible resource management, and distributed AI in 5G/6G networks utilizing AI and advanced techniques in distributed mean-field game theory. He is the author of numerous scientific publications in prestigious IEEE conferences and journals such as IEEE ICC, IEEE Globecom, IWCMC, ICNC, IEEE WCNC…
Dr. Kobbane's research also delves into the application of artificial intelligence , Generative AI mean-field game theory in modeling and evaluating the performance of various systems, including Digital Twins and Internet of Things, SDN and NFV, Use cases of 5G networks, flexible resource management in wireless mobile networks, emerging technologies, Blockchain, Trust and cybersecurity issues, Mobile cloud computing, Mobile Social networks, Caching and backhaul problems, Heterogeneous networks, 6G, and Future networks. He is the author of numerous scientific publications in prestigious IEEE conferences and journals such as IEEE ICC, IEEE Globecom, IWCMC, ICNC, IEEE WCNC…
Dr. Kobbane's research extends beyond technical domains, aiming to apply AI and Generative AI to address real-world challenges in various fields, including: Agriculture, Healthcare, Natural resource management (water, energy, climate change), Societal well-being,…
Furthermore, Dr. Kobbane He actively participates in the research community and holds the distinction of being a Senior Member of ComSoc IEEE, an Ex-Chair of the IEEE Communication Software Technical Committee, and the Ex-President and Founder of the Association of Research in Mobile Wireless Networks and Embedded Systems (MobiTic) in Morocco. He is also the founder of the WINCOM conference and has previously served as the responsible for the Master (MS) of Internet of Things and Mobile Services (IOSM).
Speech Title: AI-enabled Resource Management for Next-Generation Networks
Abstract: 5G and beyond 5G/6G are poised to shape the future economic growth across multiple vertical industries by providing the necessary network infrastructure to fuel innovation and create new economic models. They enable a wide spectrum of services, including higher data rates, ultra-low latency, and high reliability. To fulfill their promises, 5G and beyond 5G/6G rely on advanced artificial intelligence techniques and game theory to ensure optimal resource management. In this presentation, we will discuss resource management challenges in an SDN network and highlight the use of federated learning algorithms to ensure efficient resource management.
Prof. Juan Fang, Beijing University
of Technology, China
(Distinguished member of CCF, Vice Dean of the
College of Computer Science)
Biography: Fang Juan, doctor of engineering, professor,
doctoral tutor, famous teacher of Ideological and political education in
Beijing, Distinguished member of CCF. She is currently Vice Dean of the
College of Computer Science of Beijing University of Technology, the
director of the Institute of Computer Architecture of the Faculty of
Information Technology, and the head of the Internet of Things
Engineering. Mainly engaged in theoretical and applied research work in
high performance computing, Edge Intelligence, and Heterogeneous
computing. In 2005 and 2012, she was twice funded by the China Scholarship
Council (CSC) for academic exchanges in the United States for two years,
and has visited UK, Australia, the Netherlands, Hong Kong and other
countries or regions.
She was awarded the title of Beijing Excellent Talent and Beijing
Middle-aged and Young People. She has published more than 100 papers were
collected by SCI and EI, such as
PR、JIOT、TNSM、TNSE、JPDC、TJSC、JCST、FITEE、INFOCOM、HPCC etc. She has 34
national invention patents, 3 national standards, and 1 patent
transformation. She has written 11 textbooks and two translation books.
Prof. Mohd Nazri Bin Ismail, National Defence University of Malaysia, Malaysia
Biography: Prof. Dr. Mohd Nazri became Lecturer at National
Defence University of Malaysia. Prof. Dr. Mohd Nazri Ismail had a deep
involvement in computer network research and was awarded the prestigious
“Educator Award 2009 – R&D/Education category” by MARA (Malaysia Agency).
He has supervised Ph.D. and Master Students and teaching at undergraduate
and post graduate level. Assoc. Prof. Dr. Mohd Nazri Ismail has published
more than 100 papers in national and international journals (indexed ISI,
SCOPUS, IET) and IEEE conferences.
He has attended many international conferences throughout the world and
has chaired many technical sessions. He has appointed as Technical Program
Committee and organized more than 60 national and international
conferences. He has appointed as Editorial Board member more than 90
international journals and 40 international reviewer panels
(journal/proceeding). Awards and laurels won by Assoc. Prof. Dr. Mohd
Nazri Ismail run into volumes and he has received 28 awards in
R&D/Education. Assoc. Prof. Dr. Mohd Nazri Ismail is an International
Association of Engineers (IAENG), IEEE Cloud Computing Community, Society
of Digital Information and Wireless Communications (SDIWC), International
Association of Engineers and Scientists (IAEST), Universal Association of
Computer & Electronics Engineers (UACEE).
Prof. Weidang Lu, Zhejiang University of Technology, China
Biography: Weidang Lu received the Ph.D. degree in Information and Communication Engineering from Harbin Institute of Technology in 2012. He was a visiting scholar with the Nanyang Technology University, Singapore, The Chinese University of Hong Kong, China and Southern University of Science and Technology, China. He is currently a Professor with the College of Information Engineering, Zhejiang University of Technology, Hangzhou, China. His current research interests include UAV communication, intelligent communication, secure communication and mobile edge computing. His works received several awards, including Zhejiang natural science award, Jiangxi natural science award, best paper awards of WiSATS 2019 and AICON 2021.
Prof. Gang Wang, Ningbo University, China (IEEE Senior Member)
Biography: Gang Wang received the B.Eng. degree from Shandong University, Jinan, China, and the Ph.D. degree from Xidian University, Xi’an, China, both in electronic engineering, in 2006 and 2011, respectively. He joined Ningbo University, Ningbo, China, in January 2012, where he is currently a full Professor. His research interests are in the areas of target localization and tracking in wireless networks, array singal processing, and robust ellipse fitting in image processing.
Dr. Wang is an elected member of the Sensor Array and Multichannel Technical Committee of the IEEE Signal Processing Society. He serves as the Associate Editor for IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS and the Handling Editor for Signal Processing (Elsevier). He was a Handling Editor for Digital Signal Processing (Elsevier) from Sept. 2019 to Oct. 2022. He is a Senior Member of the IEEE.
Speech Title：Multistatic localization in the Absence of Transmitter Positions
Abstract: Multistatic localization, involving one or several transmitters actively sending out signals to locate an object from its echo, is widely used in practical systems. This talk presents some results for the multistatic localization problem in absence of transmitter positions. For the problem of locating a stationary object in the absence of transmitter positions, we propose a semidefinite relaxation (SDR) method for joint estimation of the object and transmitter positions using time delay (TD) measurements from both indirect and direct paths. Moreover, we present some key theoretical results for the performance of the proposed method. Furthermore, we introduce a calibration object to address the multistatic localization problem in the absence of synchronizations between the transmitter and receivers and among the receivers. For this challenging problem, we propose a three-step estimation method to jointly estimate the transmitter position, synchronization errors, and object position. Theoretical analysis is conducted to validate the performance of the proposed method.
Prof. Rong Shi, Science and Technology on Electronic Information Control Laboratory, China
Biography: Dr. Rong Shi is a researcher and a senior member of the Chinese Electronics Society. He is also a commissioner of the Electromagnetic Spectrum Safety and Control Professional Association of the Chinese Command and Control Society. He has long been engaged in scientific and technological innovation, research and development, and engineering applications in professional fields such as electronic countermeasures, signal and information processing, communication and radar systems. As the first inventor, he has been authorized more than 10 technology invention patents. As the first author, he has published over a hundred academic papers in various academic journals, and his research achievements have won some awards, such as science and technology ward, the title of top ten technology leaders of China Electronics Technology Group Corporation.
Assoc. Prof. Hongyan Fu, Tsinghua University, China
Biography: Dr. Fu is currently a tenured-associate professor, deputy director of Research Office, and director of Nano-fabrication Platform, Tsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen, China. From 2010 to April 2017, Dr. Fu was a founding member and leading the advanced optic communications research at Central Research Institute, Huawei. His research interest focuses on integrated photonics and its related applications for communications and sensing, including optical wireless communication, LiDAR and silicon photonics, etc. He is a senior member of IEEE, Optica and life member of SPIE. He is the founding advisors of Optica/IEEE Photonics Society/SPIE Student Chapters at Tsinghua SIGS, Tsinghua University. He has authored/coauthored over 360 journal or conference papers, 3 book chapters, over 80 granted/pending China / US patents.
Assoc. Prof. Liwei Yang, China Agricultural University, China (Personal Page)
Biography: She received the B.E. degree in Telecommunication Engineering from Chongqing University of Posts and Telecommunications, China, and the Ph.D. degree in Information and Communications Engineering from Beijing University of Posts and Telecommunications, China. From 2009 to 2011, she was a Postdoctoral Research Fellow with the Department of Electronic Engineering, Tsinghua University, China. In 2015, she joined the faculty of the College of Information and Electrical Engineering, China Agricultural University. Her research interests include optical networks, optical wireless communications and visible light communication. She participated in a number of national projects and published more than 100 papers. She served as a TPC member of several international academic conferences and a reviewer for several international journals.
Assoc. Prof. Wenshan Zhao, Beijing Jiaotong University, China
Biography: Wenshan Zhao received the M.Sc. and the Ph.D.
degrees in Electrical Engineering both from Hunan University, Changsha,
China in 2006 and 2011 respectively. From 2007 to 2009, he was a visiting
Ph.D. student with the School of Engineering and Technology, University of
Hertfordshire, Hatfield, UK.
He is currently an Associate Professor with the School of Electronic and
Information Engineering, Beijing Jiaotong University, Beijing, China. His
research interests include: low power electronic circuits and systems,
wearable sensor and AI algorithm developing for biomedical signal
processing (e.g. EEG, ECG). He has published more than 40 papers, and
holds more than 5 invention patents. He also serves as a TPC member for
several international conferences.
Assoc. Prof. Tian Pan, Beijing University of Posts and Telecommunications, China
Biography: Tian Pan is an associate professor and PhD supervisor at the School of Information and Communication Engineering, Beijing University of Posts and Telecommunications. His research focuses on public cloud networks, data center networks, high-performance programmable network devices, and satellite Internet. In the field of computer networks, he has published over 100 papers in prestigious conferences and journals such as SIGCOMM, NSDI, CoNEXT, INFOCOM, ICNP, ICDCS, ToN, TPDS, and JSAC, including 32 CCF-A papers, 20 CCF-B papers, and holds more than 60 invention patents. His related achievements have been recognized with the 2021 Innovation Team Award from the China Electronics Society, the first prize of the 2017 Science and Technology Award from the China Institute of Communications, and the second prize of the 2023 Science and Technology Award from the China Institute of Communications. He also serves as a member of the CCF Internet Committee and as a TPC member for various international conferences.
Assoc. Prof. Xiaoxuan Wang, Beijing Jiaotong University, China
Biography: Dr. Xiaoxuan Wang received his Ph.D. degree in traffic control and information engineering from Beijing Jiaotong University, Beijing, China, in 2020. From 2017 to 2018, he was a Visiting Scholar with Dr. Lingjia Liu in Wireless@VT, Virginia Tech, VA, USA. He is currently an Associate Professor at the School of Electronic and Information Engineering, Beijing Jiaotong University, and the Associate Director at the Cyber-Physical Systems & Industrial Software Lab. His main research interests are in dependability and security for wireless communications and communication networks in smart city, intelligent transportation and railway transportation. He has published more than 30 research papers in top international conferences and journals, such as IEEE T-ITS, T-VT, IoT-J, IET-ITS, ICC, WCNC, Globecom, VTC, etc. He has been the recipients of the 2018 International Conference on Intelligent Rail Transportation Best Paper Award.
Speech Title: Research on Trustworthy Communication and Information Security Networking for Multi-Traffic Entity Interoperability
Abstract: Current traffic communication systems prioritize optimizing communication quality over the utility of multi-entity interoperability, and there is a dearth of research on trustworthy communication for such interoperability. This presentation tackles the multi-need analysis and the construction of a trustworthy communication network oriented towards the interoperability of multiple traffic entities. It deeply analyzes the disordered interconnectivity issues stemming from cross-entity application demands in complex traffic scenarios and establishes a hierarchical communication architecture that supports large-scale distributed collaboration among groups, facilitating dynamic information interaction aligned with the interoperability needs of heterogeneous entities. Drawing on the interoperability business scenarios of multiple traffic entities, a collaborative network architecture involving humans, vehicles, roads, networks, edges, and clouds is established. The research delves into the resilient modeling of trustworthy communication with high entity collaboration, achieving the mapping and resolution of communication networking demands oriented towards interoperability intentions in complex traffic scenarios. The study also explores trustworthy communication technologies such as high-credibility multi-attribute physical layer authentication and vehicle-road-cloud collaborative intrusion detection and security defense, culminating in the construction of an information security architecture tailored to interoperability demands.
Assoc. Prof. Hoshang Kolivand, Liverpool John Moores University, UK (IEEE Senior Member)
Biography: Hoshang Kolivand is an Assoc. Prof in AI and Mixed Reality at Liverpool John Moores University (LJMU). With an MSc degree in Applied Mathematics and Computer Science, a PhD and a Postdoc in Augmented Reality, he is a leading expert in these fields. As the Head of the Applied Computing Research Group at LJMU, Dr. Kolivand leads a team of over 35 researchers, focusing on AI and Augmented Reality. He has published extensively with over 190 papers in international journals and has presented at numerous conferences. Dr. Kolivand is a Senior Member of the IEEE and has served as a keynote speaker at more than 55 international conferences. He has organized over 30 conferences in AR, VR, AI, and HCI. In addition to his academic contributions, Dr. Kolivand has authored book chapters and several products which received over 14 awards for his work in Virtual Reality and Augmented Reality. As a dedicated researcher and educator, Dr. Hoshang Kolivand plays a significant role in advancing AI and Mixed Reality technologies, making valuable contributions to the field through his expertise and leadership.
Speech Title: Breaking Boundaries with AI: Current and Future of Mixed Reality
Abstract: In this talk, we delve into the profound impact of AI on Mixed Reality, uncovering the latest advancements and groundbreaking innovations that are breaking the boundaries of digital experiences. From sophisticated real-time simulations to personalized virtual environments, explore how AI's integration with Mixed Reality is driving unprecedented immersion and transforming the way we perceive and interact with the virtual world. Join us as we unravel the limitless possibilities and implications of this transformative fusion.
Assoc. Prof. Chao Fang, Beijing University of Technology, China (IEEE Senior Member)
Biography: Chao Fang received his B.S degree in Information
Engineering from Wuhan University of Technology, Wuhan, China, in 2009,
and the Ph.D. degree with the State Key Laboratory of Networking and
Switching Technology in Information and Communication Engineering from
Beijing University of Posts and Telecommunications, Beijing, China, in
2015. He joined the Beijing University of Technology in 2016 and now is an
associate professor. From August 2013 to August 2014, he had been funded
by China Scholarship Council to visit Carleton University, Ottawa, ON,
Canada, as a joint doctorate. Moreover, he is the visiting scholar of
University of Technology Sydney, Commonwealth Scientific and Industrial
Research Organization, Hong Kong Polytechnic University, Kyoto University,
Muroran Institute of Technology, and Queen Mary University of London.
Dr. Fang is the senior member of IEEE, and the vice chair of technical
affairs committee in IEEE ComSoc Asia/Pacific Region (2022-2023).
Moreover, he is the leading editors of Sensors, Electronics and Symmetry
special issues. He also served as the Session Chairs of ICC'2015,
ICCC'2023, and WCNC'2024, Workshop Chairs of ICFEICT (2022-2024) and
ICNCIC'2023, and Poster Co-Chair of HotICN'2018. He won the Best Paper
Award of IEEE ICFEICT'2022. His current research interests include future
networks, intelligent cloud-edge-terminal cooperation computing, and
intelligent network control.
Assoc. Prof. Dawei Wang, Sun Yat-sen University, China (Personal Page)
Biography: Dr. Dawei Wang received his bachelor's and doctorate degrees in 2008 and 2013 from Zhejiang University, Hangzhou. In 2013, he joined Huawei Technologies, Shenzhen, as a research scientist and in 2016 a senior researcher at the Optical & Quantum Lab of Huawei Technologies German Research Center, Munich. He is currently an associate professor at Sun Yat-sen University, Guangzhou. His research interest focuses on advanced optical and quantum communication technologies.
Assoc. Prof. Bitao Pan, Beijing University of Posts and Telecommunications, China
Biography: Dr. Bitao Pan is currently an associate professor at Beijing University of Posts and Telecommunications. His research interests include design and modelling of optical networks, software defined automatic optical networking, FPGA based fast optical switching, and optical interconnects in distributed machine learning. Dr. Bitao Pan obtained his PhD degree from ECO group of Eindhoven University of Technology, The Netherlands, under the supervision of Dr. Nicola Calabretta and Prof. Ton Koonen. During his PhD, Bitao Pan has attended in 3 European H2020 research projects, the Metro-Haul, PASSION, and Qameleon. He has (co)authored more than 30 research papers, which include IEEE/Optica JOCN, IEEE/Optica JLT, IEEE TCOM, et.al. His is also serving as reviewers to IEEE/Optica JOCN, IEEE JSAC, Nature LAS, et.al.
Dr. Yanan Liang, Beijing Jiaotong University, China
Biography: Dr. Yanan Liang received her Ph.D. degree in communication and information systems from Beijing Jiaotong University, Beijing, China, in 2020. From 2017 to 2018, she was a Visiting Scholar at the University of Notre Dame, IN, USA. She is currently a Lecturer at the School of Electronic and Information Engineering, Beijing Jiaotong University. Her research interests include random access schemes for 5G networks, multiple access schemes for wireless self-organizing networks, and coupling mechanisms for networking and collaborative control. She has published more than 20 research papers in top international conferences and journals, such as IEEE T-WC, T-COM, CL, ICC, WCNC, VTC, etc.
Dr. Amjad Ali Amjad, Zhejiang University, China
Biography: Amjad Ali Amjad received his B.S. degree (Hons.) in Computer Systems Engineering from the University of Engineering and Technology (UET), Peshawar, Pakistan, in 2014, his M.S. degree in Electrical Engineering from the University of Lahore, Islamabad, Pakistan, in 2017, and his Ph.D. from Zhejiang University in 2021. He recently completed his first postdoctoral research at the School of Electronic and Computer Engineering at Peking University. He is currently engaged in his second postdoctoral research at the Donghai Laboratory in collaboration with Zhejiang University. His research interests include wireless optical communications, underwater wireless optical communication, solid state lighting, and visible light communication. He has co-authored one book chapter and several papers on these subjects, published in refereed journals and conference proceedings.
Speech Title: Laser Diode-Based high speed optical wireless communication and high CRI Solid State Lighting
Abstract: Gallium nitride (GaN) phosphor-converted white light-emitting diodes (Pc-WLEDs) are emerging as an indispensable solid-state lighting (SSL) source for next-generation display systems and the lighting industry. Together with the function of lighting, visible light communication (VLC) using Pc-WLEDs has gained increasing attention to fulfill the growing demand for wireless data communication. Over the past few years, white-light-emitting diodes have been used for both high-speed visible light communication and solid-state lighting simultaneously. Practically, the low modulation response and low emitting intensity of light-emitting diodes (LED) are the drawbacks to the development of ultrahigh-speed VLC and a high-quality SSL system. Blue GaN laser diode (LD) and color convertor quantum dots-based white light can simultaneously be used for both high-speed VLC and SSL.
Invited Speakers of ICCSN2023
Prof. Bin Lin, Dalian Maritime
University, China
SMIEEE, Dean of Communication Engineering with the
College of Information Science and Technology
Dr. Dongdong Wang, The 54th Research Institute of China Electronics Technology Group Corporation, China
Assoc. Prof. Xuebo Zhang, Northwest Normal University, China
Assoc. Prof. Jie Gong, Sun Yat-sen University, China
Assoc. Prof. Shu Fu, Chongqing University, China
Invited Speaker in Sepcial Session 2: Key Technologies
for Mobile Phones directly connect to Satellites
Assoc. Prof. Ke Wang, Beijing
University of Posts and Telecommunications, China
Invited Speaker in Sepcial Session 2: Key Technologies
for Mobile Phones directly connect to Satellites
Assoc. Prof. Danshi Wang, Beijing
University of Posts and Telecommunications, China
Invited Speaker in Sepcial Session 2: Key Technologies
for Mobile Phones directly connect to Satellites
Assoc. Prof. Mingwu Yao, Xidian University, China
Assoc. Prof. Chen Zhang, Nanjing
University of Posts and Telecommunications, China
Invited Speaker in Sepcial Session 2: Key Technologies
for Mobile Phones directly connect to Satellites