Invited Speakers



Prof. Xinli Huang
East China Normal University, China

Dr. Xinli Huang is currently a Full Professor with the School of Computer Science and Technology of East China Normal University (ECNU), Shanghai, China. He received his Ph.D. degree in Computer Science from the Department of Computer Science and Engineering of Shanghai Jiao Tong University (SJTU), Shanghai, China, 2007. In 2011, as a visiting scholar, he visited the Computer Science Department of University of Texas at San Antonio (UTSA), TX, USA. For the past few years, he has conducted research activities in a wide spectrum of hotspots in the fields of smart networking and computing. His current activities and research interests are also in the fields of Internet of Things, Edge Computing, Big Data Processing/Analysis and, in particular, their applications in real-world scenarios including urban intelligent computing and smart city. His research has been supported by multiple national- and provincial-funded scientific foundations, and multiple industrial grants from enterprises. Prof. Huang has published more than 40 journal and conference papers. He has served as program committee member or technical reviewer of numerous international journals and conferences.

Speech Title: AIoT Technology and Its Applications in Urban Intelligent Computing and Smart City: A Case Study of Shanghai
Abstact: AIoT integrates AI technology and IoT technology to generate massive data of different modes through the Internet of Things, and realizes the interconnection of all things with the help of networking, computing, big data analysis and artificial intelligence. The AIoT technologies are rapidly infiltrating into life and production. In this speech, we will report our research work on AIoT technologies and their applications in the field of urban intelligent computing, and focus on discussion of the applications and practices of our research results in the planning and construction of smart cities in super large cities such as Shanghai, mainly including two aspects: First, how to build, test and evaluate the new-generation metropolitan AIoT network as the digital infrastructure of smart city; Second, how to utilize the AIoT network to more effectively deal with the problems of refined urban management and precise urban governance in typical intelligent application scenarios.





Prof. Cunhua Pan
Southeast University, China

Cunhua Pan received the B.S. and Ph.D. degrees from Southeast University, Nanjing, China, in 2010 and 2015, respectively. From 2015 to 2016, he was a Research Associate at the University of Kent, U.K. He held a post-doctoral position at Queen Mary University of London, U.K., from 2016 and 2019.From 2019 to 2021, he was a Lecturer in the same university. From 2021, he is a full professor in Southeast University. His research interests mainly include reconfigurable intelligent surfaces (RIS). He has published over 120 IEEE journal papers. He is an Editor of IEEE Wireless Communication Letters and IEEE Communications Letters. He serves as the guest editor for IEEE JSAC, IEEE JSTSP, IEEE VT Magazine. He is Workshop organizer in IEEE ICCC 2021 and IEEE Globecom 2021. He is currently the Workshops and Symposia officer for Reconfigurable Intelligent Surfaces Emerging Technology Initiative.





Prof. Ming Jiang
Sun Yat-Sen University, China

Ming Jiang received the B.Eng. and M.Eng. degrees from the South China University of Technology (SCUT), China, and the Ph.D. degree from the University of Southampton, U.K., all in electronic engineering. From 2006 to 2013, he had held major R&D or senior management positions at Samsung Electronics Research Institute (SERI), U.K., Nortel Networks' Research and Development Centre, China, and telecom equipment maker New Postcom, China, where he actively participated in numerous collaborative projects across the EU, North America and Asia, contributing to research, standardization and network product developments. Since June 2013, he has been a Full Professor and a Ph.D. Supervisor with Sun Yat-sen University, China, where he focuses on both fundamental research and technology transfer, leading various national, provincial and industrial research projects. He has co-authored six books, 80+ articles, 100+ patents and 400+ 3GPP/IEEE standardization contributions in the field of wireless and optical communications. He received several Chinese local council talent awards in 2011.





Prof. Yang Yue
Xi'an Jiaotong University, China

Yang Yue received the B.S. and M.S. degrees in electrical engineering and optics from Nankai University, China, in 2004 and 2007, respectively. He received the Ph.D. degree in electrical engineering from the University of Southern California, USA, in 2012. He is a Professor with the School of Information and Communications Engineering, Xi'an Jiaotong University, China. Dr. Yue’s current research interest is intelligent photonics, including optical communications, optical perception, and optical chip. He has published over 200 peer-reviewed journal papers (including Science) and conference proceedings with >9,000 citations, five edited books, two book chapters, >50 issued or pending patents, >170 invited presentations (including 1 tutorial, >20 plenary and >30 keynote talks). Dr. Yue is a Senior Member of the Institute of Electronic and Electrical Engineers (IEEE). He is an Associate Editor for IEEE Access, and an Editor Board Member for three other scientific journals. He also served as Guest Editor for ten journal special issues, Chair or Committee Member for >80 international conferences, Reviewer for >60 prestigious journals.





Prof. Jihong Yu
Beijing Institute of Technology, China

Jihong Yu received the B.E degree in communication engineering and M.E degree in communication and information systems from Chongqing University of Posts and Telecommunications, Chongqing, China, in 2010 and 2013, respectively, and the Ph.D. degree in computer science at the University of Paris-Sud, Orsay, France, in 2016. He was a postdoc fellow in the School of Computing Science, Simon Fraser University, Canada. He is currently a professor in the School of Information and Electronics at Beijing Institute of Technology. His research interests include backscatter networking, Internet of things, and Space-air communications. He is serving as an Associate Editor for the IEEE Internet of Things Journal and IET Wireless Sensor Systems, an Area Editor for the Elsevier Computer Communications, and An Editor for Acta Electronica Sinica. He received the Best Paper Award at the IEEE Global Communications Conference (GLOBECOM) 2020.





Prof. Wei Chen
Beijing Jiaotong University, China

Wei Chen received the B.Eng. degree and M.Eng. degree from Beijing University of Posts and Telecommunications, China, in 2006 and 2009, respectively, and the Ph.D. degree in Computer Science from the University of Cambridge, UK, in 2013. Later, he was a Research Associate with the Computer Laboratory, University of Cambridge from 2013 to 2016. He is currently a Professor with Beijing Jiaotong University, Beijing, China. He has published more than 80 papers in prestigious international journals and conferences. He is the recipient of the 2013 IET Wireless Sensor Systems Premium Award and the 2017 International Conference on Computer Vision (ICCV) Young Researcher Award. His current research interests include sparse representation, Bayesian inference, wireless communication systems and image processing.





Prof. Chunyong Yang
South-Central University for Nationalities, China

Prof. Chunyong Yang has been engaged in the research work of optical communication since 2001. Thence, he hosted many scientific projects in the fields of Optical wireless communication, Optical sensing, Microwave Photonics, Hybrid Fiber-radio Network, Wireless sensor networks, such as projects supported by National Natural Science Foundation of China in 2022 and 2011, Key projects from Natural Science Foundation of Hubei Province in 2014, major project under the National 863 program in 2015 and one project supported by Major Science and Technique Program of Wuhan city in 2020. On the basis of the aforementioned projects support, he published high-quality academic papers or attain research achievements especially to a high degree. Additionally, he always attends some international conferences supported by IEEE or OSA and gives oral and poster presentation, such as the International Symposium on Photonics and Optoelectronics, IEEE Photonics Conference and International Conference on Electric Information and Control Engineering.





Prof. Shinji Sugawara
Chiba Institute of Technology, Japan

He received B.Eng., M.Eng., and Dr.Eng. degrees from Tokyo Institute of Technology, in 1994, 1996, and 1999, respectively. In 1999, he joined the University of Electro-Communications, Tokyo, as an assistant professor, and then in 2005, joined Nagoya Institute of Technology, Japan as an associate professor. From January 2006 to January 2007, he concurrently was a visiting researcher at the University of California, Irvine. In April 2013, he joined Chiba Institute of Technology, Narashino, Japan as a professor. He is interested in computer communication networks, content retrieval, and distributed systems. He is a member of IEICE, IPSJ, IEEE, and ACM.





Prof. Kiyoshi Ueda
Nihon University, Japan

He received the B.E. and M.E. degrees in electrical engineering from Keio University, Yokohama, Japan, in 1987 and 1989 respectively. He received the Ph.D. degree in information science and electrical engineering from Kyushu University in 2010. Since he joined NTT in 1989, he was engaged in the research and development of digital switching software, especially in designing the distributed switching node management software. He was an active member of ITU-T SG11 and SG4, where he contributed to the TMN. He was also responsible for research and development of peer-to-peer network service software. He is presently a professor at College of Engineering, Nihon University from 2014. He received the Best Paper Award of IEICE communication society in 2008. He is a member of IEEE, IEICE and IPSJ.





Prof. Kazuyuki Kojima
Shonan Instituite of Technology, Japan

He has various experiences as an engineer in industry and a scientist in academia. As an engineer of the first company, he was in charge of developing embedded systems for vehicles to which he applied artificial intelligence (AI). He was also in charge of developing an operating system (OS) and middleware for dicing saws to cut off LSI dice from a silicon wafer. After joining Saitama University, he studied design optimization for automotive and house air-conditioning systems. He built sensor network systems and developed an autonomous logic generator for FPGAs. Currently, as a Professor of Shonan Institute of Technology, he is working on healthcare devices with IoT technologies and visualization technologies for combustion engines. He has contributed to international conferences not only as an author but also as a member of the organizing committee. Most recently, he served as the Conference Chair of the 2021 IEEE 3rd Global Conference on Life Sciences and Technologies. He also served as the Conference Chair of the 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018), one of the flagship conferences in the IEEE Consumer Technology Society. He is currently serving as a BoG member of the IEEE Consumer Technology Society.





Prof. Kazuhiro Kikuma
Nihon University, Japan

He received the B.E. and M.E. degrees in department of physics from Yokohama City University, Yokohama, Japan, in 1990 and 1992 respectively. He received the Ph.D. degree in information science and electrical engineering from Kyushu University in 2019. He has various experiences as an engineer in industry. Since joining NTT in 1989, he has been in charge of research and development of Management Objects control methods in ATM switching software.
Since then, he has been involved in the development of switching node software such as STP and VoIP for over 20 years. He was also in charge of research and development of peer-to-peer network service software. While developing various switching node software, he has been continuously researching the automation of software development. Now he is a professor at Nihon University, College of Engineering. He is also serving as the Chair of the Steering Committee on Network Software, one of the IEICE Technical Committee. He is a member of IEICE.





Prof. Iluminada Vivien R. Domingo
Polytechnic University of the Philippines, Philippines

Iluminada Vivien R. Domingo graduated from Polytechnic University of the Philippines, Philippines in 1986 with the degree Bachelor in Business Education *Magna Cum laude, and got her Master in Business Administration (MBA), an allied course of Information Technology, from the University of Santo Tomas, Manila, Philippines in 1990 and Doctor in Business Administration degree from Polytechnic University of the Philippines, in 2004. She started her teaching career in information technology at St. Paul University of Quezon City in 1987. Dr. Domingo has attended various training programs in information technology and taught various subjects in information technology between 1987 to 1989. Dr. Domingo then transferred to teach at Polytechnic University of the Philippines, College of Computer Management and Information Technology now College of Computer and Information Sciences from 1989 to the present, 2021. She holds a permanent position as Full Professor 6 in the College of Computer and Information Sciences, Polytechnic University of the Philippines. Dr. Domingo is the faculty researcher for the Bachelor in Information Technology course of the College of Computer and Information Sciences. Dr. Domingo has published various research papers indexed in scopus.com and in Commission on Higher Education (CHED) accredited journal in 2020.





Assoc. Prof. Hovannes Kulhandjian
California State University, Fresno, USA

Hovannes Kulhandjian (Senior Member, IEEE) received the M.S. and Ph.D. degrees in electrical engineering from The State University of New York at Buffalo, Buffalo, NY, USA, in 2010 and 2014, respectively. From December 2014 to July 2015, he was an Associate Research Engineer with the Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA. He is currently an Associate Professor with the Department of Electrical and Computer Engineering, California State University, Fresno, Fresno, CA, USA. His current research interests include wireless communications and networking, with applications to underwater acoustic communications, visible light communications, and applied machine learning. He actively serves as a member of the Technical Program Committee for ACM and IEEE conferences, such as IEEE GLOBECOM, ICC, PIMRC, and ACM WUWNet, among others. He has served as a Guest Editor for IEEE ACCESS.





Assoc. Prof. Peng Cui
Renmin University of China, China

Peng Cui. He received his B.S., M.S. and Ph.D. degrees from School of CSEE, Peking University and was visiting scholar of School of Information Studies, University of Wisconsin, Milwaukee. He now serves as associate professor in School of Information Resource Management, Renmin University of China, and serves as research fellow in Key Laboratory of Data Engineering and Knowledge Engineering, Ministry of Education. His research areas include mathematics, theoretical computer science, data mining and electronic record management. He has published many academic articles in Chinese and international journals or conference proceedings and has been principal or co-principal investigator of Chinese national natural science grants funded by Chinese Council of Natural Science Fund, and Mingde programs of young scholar funded by Renmin University of China.





Assoc. Prof. Zan Li
Jilin University, China

Dr. Zan Li is currently employed at Jilin University as an associate professor (Aoqing Tang scholar). He is responsible for multiple National Natural Science Foundation of China (NSFC)projects focuses on wireless communication, wireless sensing and indoor positioning. He has published several high-quality publications on top journals such as IEEE transactions. Before he joined Jilin University, he worked at Alibaba Group as a senior researcher and responsible for designing algorithms of crowd-sourcing positioning. He got his PhD degree at the University of Bern and won the Fritz-Kutter award (the best Ph.D. thesis in Swiss universities) in 2016.





Assoc. Prof. Psannis Konstantinos
University of Macedonia, Greece

KONSTANTINOS E. PSANNIS was born and raised in Thessaloniki, Greece. He is currently Associate Professor in Communications Systems and Networking at the Department of Applied Informatics, School of Information Sciences, University of Macedonia, Greece, Director of Mobility2net Research & Development & Consulting JP-EU Lab, member of the EU-JAPAN Centre for Industrial Cooperation and Visiting Consultant Professor, Graduate School of Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan. Dr. Psannis received more than 4200 citations (h-index 28, i10-index 59). Professor Konstantinos has several highly cited papers powered by Web of Science - Clarivate. He is serving as an Associate Editor for IEEE Access and IEEE Communications Letters.

Speech Title: Next Generation Big Data Analytics for 6G and Beyond Enabled Massive AI IoT
Abstract: While scientific research and global network deployment of 5G systems have reached a significantly mature stage, the road to sixth generation and the evaluation of the advantages along with limitations they bring has already been paved. The scalability expansion of current Internet-of-Things networks to a future improved network design has spurred the scientific interest in terms of the benefits it brings for improved data rate, low latency, connectivity, reliability and energy efficiency. Specifically, energy efficiency emerges as a more critical requirement than ever, given the increased scalability of the Internet-of-Everything as the 6G evolved network has been named. Along with massive sensor deployment comes the need for powerful computations and massive storage and processing. This is accomplished by distributed Artificial Intelligence which provide powerful tools to boost performance and improve physical layer implementation with machine learning algorithms which improves resource allocation and synchronization in such massively deployed networks. The 6G beyond enabled IoT networks result in excessive amounts data to be processed, stored and communicated. Hence, Big Data analytics provide the means to process and extract information from data of diverse types, which arise due to supported 6G IoT network heterogeneity along with great volume. Compressed Sensing introducing sparsity and incoherence provide powerful dimensionality reduction methods in order to extract the useful information from these excessive data sets, by sub-Nyquist sampling schemes. Along with entropy and coding oriented approaches, CS could greatly optimize network performance and energy efficiency and improve implementation. The vision of 6G beyond networks is slowly becoming a reality fulfilling past requirements and setting the stage of future revolutionary massive connectivity networks.





Assoc. Prof. Suayb S. Arslan
MEF University, Turkey

Dr. Suayb S. Arslan (Senior member, IEEE) received the M.Sc. and Ph.D. degrees in electrical engineering from the University of California, San Diego, CA, USA, in 2009 and 2012, respectively. He was with Mitsubishi Electric Research Laboratory, Boston, MA, USA, in 2009, where he was involved in research and development of image and video processing algorithms for biomedical applications. In 2011, he joined Quantum Corporation, Irvine, CA, USA, where he conducted research on advanced detection and coding algorithms for increased capacity tape storage and cloud systems. He is currently visiting Massachusetts Institute of Technology, Boston, MA, USA as a faculty member. He serves as vice-chair for IEEE ComSoc Turkey and Treasurer for IEEE Data Storage Technical committee, IEEE ComSoc Global. His research interests include information theory, neuroscience, digital communication and storage, cloud and Quantum computing, reliability/system theory and image/video processing.





Assoc. Prof. Xintong Ling
Southeast University, China

Xintong Ling is currently an Associate Professor with the National Mobile Communications Research Laboratory (NCRL), Southeast University, and also with the Purple Mountain Laboratories. He received the B.E. and Ph.D. degrees in electrical engineering from Southeast University, Nanjing, China, in 2013 and 2018, respectively. From 2016 to 2018, he was a visiting Ph.D. student with the Department of Electrical and Computer Engineering, University of California at Davis. His current research interests focus on future generation wireless communications and networks, including blockchain technologies, distributed networking systems, wireless communications, and signal processing. He received the industrial innovation paper award from IEEE WCSP2020. He served as a TPC member of Globecom2021 and a workshop chair of IEEE iThings2022.





Assoc. Prof. Wenjuan Gong
China University of Petroleum, China

Dr. Wenjuan Gong got her PhD from Computer Vision Center, Autonomous University of Barcelona. She is currently an Assoc. Prof. at China University of Petroleum (East China), Qingdao, China. She published more than 30 academic papers including International conferences and SCI indexed journals. She also led many projects, including National Science Foundation in Shandong Province, Innovation Plan in Qingdao, etc. She is a senior member of China Computer Federation, a committee member of Intelligence Robots Special Committee, and a member of Technical Committee on Big Visual Data at China Society of Image and Graphics.





Assoc. Prof. Gaofei Huang
Guangzhou University, China

Gaofei Huang received the M.S. and Ph.D degrees from Sun Yat-sen University (SYSU),  China, in 2004 and 2012, respectively. He now is an associate professor in Guangzhou University, China. His current research interests include energy-harvesting wireless communications, ambient backscatter communications, intelligent reflecting surface (IRS)-aided communications, mobile edge computing, UAV-aided communications, and wireless communications in vehicular networks.





Assoc. Prof. Zhe Li
Soochow University, China

Zhe Li received the B.S. degree in telecommunication engineering from the Nanjing University of Posts and Telecommunication, Nanjing, China, in 2011, and the M.S. degree in software engineering and the Ph.D. degree in information and communication engineering from Southeast University, Nanjing, China, in 2014 and 2018, respectively. From 2016 to 2017, he was a Visiting Ph.D. Student with the Department of Electrical and Electronic Engineering, Imperial College London, London, U.K. Since 2018, he has been an Associate Professor with the School of Electronic and Information Engineering, Soochow University, Suzhou, China. He was the recipient of the Education Innovation Award at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) in 2019. His research interests include complex and hyper-complex statistical signal processing and its applications in communications systems, power networks, and Internet of things.





Assoc. Prof. Mohd Faizal Abdollah
University Teknikal Malaysia Melaka, Malaysia

Associate Profesor Dr Mohd Faizal Abdollah is currently a senior lecturer in University Teknikal Malaysia Melaka. The research area more focuses on network security, malware detection and network management. In cybersecurity, Dr Mohd Faizal led the sub project under CMERP project with the collaboration with Cyber Security Malaysia. This project more focuses on malware detection, eradication and mitigation. Others than that, Dr Mohd Faizal also involve in various grant sponsor by Ministry of Education, Industrial grant and University grant such as Fundamental Grant for detecting botnet activity, Transdiciplin Grant for detecting the inside threat, ISIF grant for botnet detection using graph theory. He also teaches UTeM course such as Information Technology and IT Security, Network Management and Administration, Advanced Scalable Network and also manage to produce various conference paper and journal in cybersecurity related field.





Dr. Ahmed Elzanaty
University of Surrey, UK

Ahmed Elzanaty (S'13-M'18-SM'22) received his Ph.D. degree in Electronics, Telecommunications, and Information Technology (excellent cum laude) from the University of Bologna, Italy, in 2018. He was a post-doctoral fellow at King Abdullah University of Science and Technology (KAUST), Saudi Arabia, from 2019 to 2021. Currently, he is a lecturer in wireless communications at the 5GIC & 6GIC (5G and 6G Innovation Centres), Institute for Communication Systems (ICS), University of Surrey, Guildford, United Kingdom. He participated in several national and European projects, such as GRETA and EuroCPS. His research interests include wireless localization, coded modulation, intelligent surfaces, and EMF-aware cellular system design.

Speech Title: Probabilistic Constellation Shaping for Optical Channels: Challenges and Potential Solutions
Abstract: This talk first discusses the importance of probabilistic constellation shaping in enhancing the spectral efficiency of communication systems. Then, it presents some challenges that face probabilistic shaping for coherent modulation in radiofrequency and intensity modulation/direct detection in optical communications. Finally, it introduces potential solutions to overcome/cope with such challenges.





Asst Prof. Jianhua Zhang
Clarkson University, USA

Dr. Jianhua Zhang is an assistant professor at ECE department of Clarkson University since 2019. She received the Ph.D. degree in electrical and computer engineering from North Carolina State University and the M.S. degree in electrical engineering from New Mexico Institute of Mining and Technology in 2016 and 2010, respectively. She worked as a Postdoc Research Associate at National Renewable Energy Laboratory (NREL) before joining Clarkson University. Her research interest is mainly focused on smart grid cyber physical systems and grid integration of renewable energy resources: distributed cyber physical algorithms, optimization and machine learning, smart grid communications, cyber and physical co-simulation, and monitoring and control of large-scale renewable energy systems. She is serving the guest editor in Journal of Modern Power Systems and Clean Energy and Frontiers in Energy Research, the review editor in Smart Grid Communications, and the guest associate editor in Smart Grids.