Prof. Eduard Axel JorswieckTechnische Universitaet Braunschweig, Germany
Speech Title: Transceiver and Resource Optimization in Wireless Communications: from 3G to 6G
Abstract: The efficient design of transmitter and receiver operations as well as efficient usage of resources in wireless communications is based on optimisation models and algorithms. In fact, every new generation of mobile communications requires a close-to-optimal solution of certain programming problems in order to select the suitable technologies and their best configurations. In the early wireless systems, resource allocation could be performed based on linear and convex programming since orthogonal multiple access schemes and homogeneous objectives were applied. With multi-carrier and multiple antenna technologies and throughput maximisation, the triumph of convex optimisation began. When other performance metrics, such as energy efficiency, became relevant, quasi- and pseudo-convex, fractional programming methods were successfully applied. Popular non-orthogonal access methods and the goal of higher resource efficiency led to more general non-convex and general global programming problems. Therefore, global programming approaches such as mixed monotonic programming with branch-and-bound methods are recently developed. Currently, heterogeneous wireless system designs are envisioned for 6G wireless, with flexible open radio network architectures. Here we leave classical optimisation methods and proceed towards machine learning approaches. The keynote will lead through these developments and illustrate two recent system designs for 6G wireless networks, one based on global programming and one based on machine learning.
Biography: Eduard Axel Jorswieck is the managing director of the Institute of Communications Technology, the head of the Chair for Communications Systems and Full Professor at Technische Universitaet Braunschweig, Germany. He received the Dipl.-Ing. degree in Computer Engineering and the PhD degree in Electrical Engineering both from TU Berlin in 2000 and 2004, respectively. His main research interests are in the broad area of communications, signal processing, and applied information theory. He is IEEE fellow, and Editor-in-Chief of the EURASIP Journal on Wireless Communications and Networking. He has won several awards, including IEEE Signal Processing Society Best Paper and other conference best papers and best student papers.
Prof. Yuhong DaiAcademy of Mathematics and Systems Science, Chinese Academy of Sciences, China
Speech Title: Recent Advances in Nonlinear Optimization
Abstract: Nonlinear optimization stems from calculus and becomes an independent subject due to the proposition of Karush-Kuhn-Tucker optimality conditions. The ever-growing realm of industrial applications and the vast demand from AI development are driving nonlinear optimization research in new and exciting directions. In this talk, I shall address some recent advances on nonlinear optimization, mainly on unconstrained optimization, constrained optimization, optimization with least constraint violation and minimax optimization.
Biography: Yu-Hong Dai is a Full Professor in the Academy of Mathematics and Systems Science (AMSS), Chinese Academy of Sciences. He received the B.Sc. degree in applied mathematics from the Beijing Institute of Technology in 1992, and received the Ph.D. degree in nonlinear programming from the Institute of Computational Mathematics and Scientific/Engineering Computing, Chinese Academy of Sciences in 1997. He is now the president of Operations Research Society of China (ORSC) and the chief editor of Operations Research Transactions (in Chinese). He is also the director of the Center for Optimization and Applications (COA) of AMSS. His research interests include continuous optimization, integer programming and various optimization applications. He received Shiing-Shen Chern Mathematics Award, Feng Kang Scientific Computing Award, Xiao Shutie Applied Mathematics Award, Second Prize of the National Natural Science of China (Rank 2), and the Tenth Science and Technology Award for Chinese Youth. He also won the China National Funds for Distinguished Young Scientists and a Best Paper Award on the 2011 International Conference on Communications.
Prof. Athanasios V. VasilakosUniversity of Technology Sydney, Australia
Speech Title: Machine Learning and Cybersecurity
Biography: Athanasios V. Vasilakos is Distinguished Professor at UTS, Australia. More than 46 000 citations, H-index=115. His main research interests include IoTs/mobile nets, artificial intelligence/machine learning, cybersecurity, and big data analytics. He served or is serving as an Editor for many technical journals, such as the IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT; IEEE TRANSACTIONS ON CLOUD COMPUTING, IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, IEEE TRANSACTIONS ON CYBERNETICS; IEEE TRANSACTIONS ON SERVICES COMPUTING;IEEE TRANSACTIONS ON NANOBIOSCIENCE; IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE; ACM Transactions on Autonomous and Adaptive Systems; the IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS.
Prof. Lei ShuCollege of Engineering, Nanjing Agricultural University, China
Speech Title: Applying Mobile Crowd Sensing for Data Collection in Smart Agriculture
Abstract: Smart agriculture enables the efficiency and intelligence of production in physical farm management. Though promising, due to the limitation of the existing data collection methods, it
still encounters few challenges required to be considered. Mobile Crowd Sensing (MCS) is a technique where many individuals having mobile devices, e.g., smartphones and wearable equipment, are capable of sensing and sharing information of interest, aiming to complete large-scale and complex sensing tasks with three beneficial characteristics: 1) cost-effectiveness; 2) scalability; and 3) mobility. With the Internet of Things becoming a reality, smartphones are widely becoming available even in remote areas. Hence, both the MCS characteristics and the plug-and-play widely available infrastructure provide enormous opportunities for MCS-enabled smart agriculture, opening several new opportunities at the application level. This report extensively evaluates Agricultural Mobile Crowd Sensing (AMCS) and provides insights for agricultural data collection schemes. In addition, we offer a comparative study with the existing agriculture data collection solutions and conclude that AMCS has significant benefits in terms of flexibility, collecting implicit data, and low-cost requirements. To this end, we perform a detailed analysis of the challenges and opportunities that concerns MCS-enabled agriculture by putting forward seven potential applications of AMCS-enabled agriculture.
Biography: Lei Shu (Senior Member, IEEE) received the B.S. degree in computer science from South Central University for Nationalities, China, in 2002, the M.S. degree in computer engineering from Kyung Hee University, South Korea, in 2005, and the Ph.D. degree from the Digital Enterprise Research Institute, National University of Ireland, Galway, Ireland, in 2010. Until 2012, he was a Specially Assigned Researcher with the Department of Multimedia Engineering, Graduate School of Information Science and Technology, Osaka University, Japan. He is currently a Distinguished Professor with Nanjing Agricultural University, China, and a Lincoln Professor with the University of Lincoln, U.K. He is also the Director of the NAU-Lincoln Joint Research Center of Intelligent Engineering. He has published more than 400 articles in related conferences, journals, and books in the areas of sensor networks and Internet of Things. His current H-index is 60 and i10-index is 197 in Google Scholar Citation. His current research interests include wireless sensor networks and the Internet of Things. He has also served as a TPC member for more than 150 conferences, such as ICDCS, DCOSS, MASS, ICC, GLOBECOM, ICCCN, WCNC, and ISCC. He was a recipient of the 2014 Top Level Talents in Sailing Plan of Guangdong Province, China, the 2015 Outstanding Young Professor of Guangdong Province, and the GLOBECOM 2010, ICC 2013, ComManTel 2014, WICON 2016, SigTelCom 2017 Best Paper Awards, the 2017 and 2018 IEEE Systems Journal Best Paper Awards, the 2017 Journal of Network and Computer Applications Best Research Paper Award, and the Outstanding Associate Editor Award of 2017, and the 2018 IEEE Access. He has also served more than 50 various Co-Chair for international conferences/workshops, such as IWCMC, ICC, ISCC, ICNC, Chinacom, especially the Symposium Co-Chair for IWCMC 2012, ICC 2012, the General Co-Chair for Chinacom 2014, Qshine 2015, Collaboratecom 2017, DependSys 2018, and SCI 2019, the TPC Chair for InisCom 2015, NCCA 2015, WICON 2016, NCCA 2016, Chinacom 2017, InisCom 2017, WMNC 2017, and NCCA 2018.