Invited Speakers

Prof. Pascal Lorenz
University of Haute-Alsace, France, France


Bio: Pascal Lorenz ( 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.


Bio: Bo Guo is a professor in the Key Lab of In-Fiber Integrated Optics of Ministry of Education of China and Key Lab of Photonic Materials and Devices Physics for Oceanic Applications of Ministry of Indus try and Information Technology of China, Harbin Engineering University. His research interests focus on ultrafast optics, 2D mate rial photonics and ocean optics. He has authored 30 international journal papers and long been a peer reviewer for 40 international journals.


Bio: Yufei Ma received his PhD degree in physical electronics from Harbin Institute of Technology, China, in 2013. From September 2010 to September 2011, he spent as a visiting scholar at Rice University, USA. Currently, he is a professor at Harbin Institute of Technology, China. He is the winner of National Outstanding Youth Science Fund. His research interests include optical sensors, trace gas detection, laser spectroscopy, solid-state laser and optoelectronics. He has published more than 100 publications and given more than 20 invited presentations at international conferences. He serves as associate editor for Optica Optics Express, SPIE Optical Engineering, Wiley Microwave and Optical Technology Letters and Frontiers in Physics. He also serves as topical editor for CLP Chinese Optics Letters and editorial board member for Elsevier Photoacoustics MDPI Sensors and Applied Sciences.


Bio: 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 Te4lecommunications, 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 Electronics and Symmetry special issues. He also served as Session Chairs of ICC NGN’2015 and ICCC NMNRM’2021, Poster Co-Chair of HotICN’2018, and Workshop Chairs of IEEE ICFEICT (2022-2023) and IEEE ICNCIC’2023. He won the Best Paper Award of IEEE ICFEICT'2022. His current research interests include future networks, cloud-edge-terminal cooperation computing, intelligent network control, resource management and content delivery.


Assoc. Prof. Yan Lin
Nanjing University of Science and Technology, China

Bio: Yan Lin received the M.S. and Ph.D. degrees from Southeast University, China, in 2013 and 2018, respectively. She visited Southampton Wireless Group at University of Southampton, U.K., from Oct. 2016 to Oct. 2017. Since 2018, she has been working at Nanjing University of Science and Technology, China, in 2018, where she is currently an associate professor with the School of Electronic and Optical Engineering. She has co-authored more than 40 papers in journals and conferences, such as IEEE JSAC/TWC/TCOM/TVT/IOT, and holds several Chinese patents. She has led and participated in several projects funded by National Natural Science Foundation of China and Natural Science Foundation of Jiangsu Province. She has also served as a TPC member for several IEEE conferences, and as a reviewer for many IEEE journals and conferences. Her current research interests include mobile edge computing and resource allocation in vehicular networks, and anti-jamming communication in UAV networks.


Bio: Xiaosi Tan received her B.S. degree from Beijing University of Technology, Beijing, China, in 2009, and her Ph.D. degree from Texas A&M University, College Station, TX, USA, in 2015. She was a Post-Doctoral Research Associate with Texas A&M University from 2015 to 2017. She joined the National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, Nanjing, China as a Post-Doctoral Researcher in 2017, where she is currently a lecturer. Her current research interests include efficient algorithms and VLSI architectures for B5G/6G baseband signal processing, and machine learning for wireless communications. She has co-authored more than 30 papers in journals and conferences on these subjects, and has led and participated in several projects funded by National Natural Science Foundation of China.



Bio: Abhimanyu is an Economist at Amazon working on dynamic causal models and causal machine learning. His prior research has used methods from machine learning, deep learning and natural language processing combined with econometric approaches to study problems in applied microeconomics and empirical corporate finance. He holds a PhD in financial economics from Stanford University.

Speech Title: Causal Inference, Machine Learning and Deep Learning

Abstract: This talk will provide an overview of the problem of causal inference in the technology industry and current approaches to address it. We will discuss the applications of machine learning and deep learning to this problem space, with inspiration from our own work. We will also touch upon the challenges involved in validating solutions and some tests that can be performed to build confidence in causal results.


Dr. Suwen Song
Sun Yat-Sen University, China

Bio: Suwen Song received her B.S. degree in electronic information science and technology and her Ph.D. degree in electronic science and technology from Nanjing University, Nanjing, China, in 2017 and 2022, respectively. She is currently an assistant professor at Sun Yat-Sen University, Shenzhen, China. Previously she worked for Nanjing University from 2022 to 2023 as an associate researcher. Her research interests include channel coding algorithms, massive MIMO, and low-power, high-throughput VLSI systems for digital signal processing. She has published over 25 papers in mainstream journals and conferences of the IEEE, and has applied for or been granted more than 10 national invention patents. She has led and participated in several projects funded by National Natural Science Foundation of China, as well as collaborations with large enterprises and research institutes.