Keynote&Plenary Speakers for ICCC 2018

Keynote Speakers


Prof. Leyi Wang, IEEE Fellow, Department of Electrical and Computer Engineering, Wayne State University, USA

Biography: Le Yi Wang received the Ph.D. degree in electrical engineering from McGill University, Montreal, Canada, in 1990. Since 1990, he has been with Wayne State University, Detroit, Michigan, where he is currently a professor in the Department of Electrical and Computer Engineering. His research interests are in the areas of complexity and information, system identification, robust control, H-infinity optimization, time-varying systems, adaptive systems, hybrid and nonlinear systems, information processing and learning, as well as medical, automotive, communications, power systems, and computer applications of control methodologies. He was a keynote speaker in several international conferences. He serves on the IFAC Technical Committee on Modeling, Identification and Signal Processing. He was an Associate Editor of the IEEE Transactions on Automatic Control and several other journals, and an Associate Editor of Journal of Control Theory and Applications. He was a Visiting Faculty at University of Michigan in 1996, Visiting Faculty Fellow at University of Western Sydney, Australia, in 2009 and 2013, and Visiting Faculty at Vienna University of Technology, Austria, in 2016. He is a member of a Foreign Expert Team in Beijing Jiao Tong University and a member of the Core International Expert Group at Academy of Mathematics and Systems Science, Chinese Academy of Sciences.

He received Research Initiation Award (1992) and Faculty Internship Award (1994) from the USA National Science Foundation, Best Paper Award from IEEE EIT 2012, Best Poster Award from IEEE SEM 2012, Best Paper Award from ICEEE 2017, Best Paper Award in Journal of Systems Science and Complexity in 2016, Best Associate Editor Award (2016) from Control Theory and Technology, Outstanding Reviewer Award (2012-2013) from Automatica,  Faculty Research Award (1992), College of Engineering Outstanding Teaching Award (1995), President Research Enhancement Award (2003-2005), College of Engineering Faculty Research Excellence Award (2015) from Wayne State University. He is an Eminent Engineer in Tau Beta Pi, a member of Academy of Scholars at Wayne State University, and a Fellow of IEEE.


Title: Embracing New Paradigms of Data- and Complexity-Based Integration of Control, Communications, and Computing in Network Systems (Abstract in Link)



Prof. Sheng-Uei Guan, Xi'an Jiaotong-Liverpool University, China


Biography: Steven Guan received his M.Sc. & Ph.D. from the University of North Carolina at Chapel Hill. He is currently a Professor and the Director for Research Institute of Big Data Analytics at Xi'an Jiaotong-Liverpool University (XJTLU). He served the head of department position at XJTLU for 4.5 years, creating the department from scratch and now in shape. Before joining XJTLU, he was a tenured professor and chair in intelligent systems at Brunel University, UK. Prof. Guan has worked in a prestigious R&D organization for several years, serving as a design engineer, project leader, and department manager. After leaving the industry, he joined Yuan-Ze University for three and half years. He served as deputy director for the Computing Center and the chairman for the Department of Information & Communication Technology. Later he joined the Electrical & Computer Engineering Department at National University of Singapore as an associate professor. Prof. Guan’s research interests include: machine learning, intelligent systems, computational intelligence, big data analytics, data mining, personalization, modeling, security, networking, electronic commerce, mobile commerce, coding theory, and pseudorandom number generation. He has published extensively in these areas, with 130+ journal papers and 180+ book chapters or conference papers. He has chaired and delivered keynote speeches for 30+ international conferences and served in 170+ international conference committees and 20+ editorial boards.


Title: Opportunities and Challenges in Information Communications Technology (Abstract in Link)


Prof. Yutaka Ishibashi, Nagoya Institute of Technology, Japan


Biography: Yutaka Ishibashi received the B.E., M.E., and Ph.D. degrees from Nagoya Institute of Technology, Nagoya, Japan, in 1981, 1983, and 1990, respectively. In 1983, he joined the Musashino Electrical Communication Laboratory of Nippon Telegraph and Telephone Public Corporation (currently, NTT). From 1993 to 2001, he served as an Associate Professor of Department of Electrical and Computer Engineering, Faculty of Engineering, Nagoya Institute of Technology. Currently, he is a Professor of Department of Computer Science, Graduate School of Engineering, Nagoya Institute of Technology. From June 2000 to March 2001, he was a visiting researcher, Department of Computer Science and Engineering, University of South Florida (USF), USA. His research interests include networked multimedia, QoS (Quality of Service) control, media synchronization, and remote robot control with force feedback. He was the Chair of the IEICE Communication Quality Technical Committee from 2007 to 2009. He served as TPC Chair of IEEE CQR (Communications Quality and Reliability) Workshop in 2011 and 2012. He also served as NetGames (Network and Systems Support for Games) Workshop Co-Chair in 2006, 2010, 2014, and 2017, Executive Committee Chair of Tokai-Section Joint Conference on Electrical, Electronics, Information, and Related Engineering in Japan, Chair of MAW 2017 (Metro Area Workshop in Nagoya, 2017), Conference Co-Chair of IEEE ICCC 2017, Conference Chair of ICCCS 2018, and Technical Program Chair of IEEE ICCE-TW 2018. He was IEEE Nagoya Section Secretary in 2015 and 2016, and he is currently IEEE Nagoya Section Chair. He is further a Steering Committee Member of NetGames. He is a Fellow of IEICE, a Senior member of IEEE, and a Member of ACM, ITE, IPSJ, VRSJ, and IEEJ.


Title: Cooperation among Humans and Robots with Force Feedback over Network (Abstract in Link)


Prof. Tianrui Li, Southwest Jiaotong University, China

教授/主任 李天瑞 四川省云计算与智能技术高校重点实验室/西南交通大学


Biography: Tianrui Li received his  B.S. degree, M.S. degree and P h.D. degree from the Southwest  Jiaotong University, China  in 1992, 1995 and 2002 respect ively. He was a Post-Doctoral  Researcher at Belgian Nuclear  Research Centre (SCK • CEN),  Belgium from 2005-2006, a visiting professor at Hasselt  University, Belgium in 2008, t he University of Technology, Sydney, Australia in 2009 and the University of Regina, Canad a in 2014. And, he is presentl y a Professor and the Director  of the Key Lab of Cloud Computing and Intelligent  Technique of Sichuan Province,  Southwest Jiaotong  University, China. Since 2000,  he has co-edited 6 books, 10 special issues of internationa l journals, 15 proceedings,  received 5 Chinese invention  patents and published over  240 research papers (e.g., IEEE  TKDE, IEEE TEC, IEEE TFS, IEEE TIFS, IEEE ASLP, IEEE TIE, IEEE TC, IEEE TVT) in refereed journals  and conferences (e.g., KDD,  IJCAI, UbiComp). Three papers  were ESI Hot Papers and Ten papers was ESI Highly Cited  Papers. His Google H-index is 32. He serves as the area editor of International Journal of Computational Intell igence Systems (SCI), editor  of Knowledge-based Systems ( SCI) and Information Fusion ( SCI), etc. He is an IRSS fellow, a  distinguished member of CCF,  a senior member of ACM, IEEE,  CAAI, ACM SIGKDD member,  Chair of IEEE CIS Chengdu  Chapter, Treasurer of ACM  SIGKDD China Chapter and CCF  YOCSEF Chengdu Chair (2013- 2014). Over fifty graduate  students (including 8 Post- Docs, 12 Doctors) have been  trained. Their employment  units include Microsoft  Research Asia, Sichuan  University, Baidu, Alibaba,  Tencent and Huawei. They have  received 2 "Si Shi Yang Hua"  Medals, Best Papers/ Dissertation Awards 13 times,  Champion of Sina Weibo Interac tion-prediction at Tianchi Big Data Competition (Bonus  200,000 RMB), Second Place of  Social Influence Analysis  Contest of IJCAI-2016  Competitions.


Title: Data-Driven Intelligence: Challengues and our Solutions (Abstract in Link)



Prof. Yan Yang, Southwest Jiaotong University, China
副院长/教授 杨燕 西南交通大学信息科学与技术学院

Biography: Dr. Yan Yang is currently Professor and vice dean of Information Science and Technology, Southwest Jiaotong University. She worked as a visiting scholar at the Center of Pattern Analysis and Machine Intelligence (CPAMI) in Waterloo University of Canada for one and half year. She is an Academic and Technical Leader of Sichuan Province. Her research interests include artificial intelligence, big data analysis and mining, ensemble learning, cloud computing and service. Prof. Yang has participated in more than 10 high-level projects recently. And have taken charge of two programs supported by the National Natural Science Foundation of China (NSFC), one NSFC International (Regional) Cooperation and Exchanges program, one Project of National Science and Technology Support Program, and one Supporting Program for Science and Technology of Sichuan Province. She has authored and co-authored over 150 papers in journals and international conference proceedings, 1 special issue of international journal, 1 proceeding and 2 books. She also serves as the Vice Chair of ACM Chengdu Chapter, a distinguished member of CCF, a senior member of CAAI, a member of IEEE, ACM, ACM SIGKDD, CCF Education Work, CCF Artificial Intelligence and Pattern Recognition, CCF Theoretical Computer Science, CAAI Machine Learning, CAAI Grain Calculation and Knowledge Discovery Committee, Deputy Secretary General of Sichuan Computer Society and Vice Chair of Big Data Industry University Research Council of Sichuan Institute of Electronics.


Title: Multi-view Clustering and Its Applications (Abstract in Link)




Plenary Speakers

Prof. Nan Wang, California State University, Fresno, USA


Biography: Dr. Nan Wang received his B.S. in Computer Science from Xiamen University in Xiamen, China, and his Ph.D. in Computer Engineering from the University of Louisiana in Lafayette, Louisiana. From 2008 to 2015, Dr. Wang has been with West Virginia University Institute of Technology, where he earned a tenured position in 2014. He is currently an associate professor within the Department of Electrical and Computer Engineering at California State University in Fresno, California. He has served as a keynote speaker, session chair, TPC member, and reviewer for various peer reviewed journals and conferences, in which he also has numerous publications. Dr. Wang is also serving as a panelist for the National Science Foundation’s program solicitation for the Japan-US Network Opportunity (JUNO2) and the R&D for Trustworthy Networking for Smart and Connected Communities. He has more than 20 years of combined industry and teaching experience. His research interests include system-on-chip/network-on-chip communication architecture, embedded systems, FPGA/ASIC design and implementation, real-time computing and VLSI design, and wireless communication. In his free time, Dr. Wang serves as a faculty advisor for the Asian Christian Student Organization at the California State University in Fresno, California.


Title: BullDog Mote: Low Power Design Technologies for Wireless Sensor Networks (Abstract in Link)



Prof. Ai Bo, Beijing Jiaotong University, China


Biography:Prof. Bo Ai received his Master degree and Ph. D. degree from Xidian University in China. He graduated from Tsinghua University with the honor of Excellent Postdoctoral Research Fellow at Tsinghua University in 2007. He was a visiting professor at EE Department, Stanford University in 2015. He is now working at Beijing Jiaotong University as a full professor and Ph. D. candidate advisor. He is the Deputy Director of State Key Lab of Rail Traffic Control and Safety, and the Deputy Director of International Joint Research Center. He is one of the main responsible people for Beijing “Urban rail operation control system” International Science and Technology Cooperation Base, and the backbone member of the Innovative Engineering Based jointly granted by Chinese Ministry of Education and the State Administration of Foreign Experts Affairs.

He has authored/co-authored 8 books and published over 300 academic research papers in his research area. He has hold 26 invention patents. He has been the research team leader for 26 national projects and has won some important scientific research prizes. He has been notified by Council of Canadian Academies (CCA) that, based on Scopus database, Prof. Bo Ai has been listed as one of the Top 1% authors in his field all over the world. Prof. Bo Ai has also been Feature Interviewed by IET Electronics Letters. His interests include the research and applications of channel measurement and channel modeling, dedicated mobile communications for rail traffic systems.

Prof. Bo Ai is a Fellow of the Institution of Engineering and Technology (IET Fellow), IEEE VTS Distinguished Lecturer. He is an IEEE VTS Beijing Chapter Vice Chair. IEEE BTS Xi’an Chapter Chair. He was as a Co-chair or a Session/Track Chair for many international conferences. He is an Editor of IEEE Transactions on Consumer Electronics and an Editorial Committee Member of the Wireless Personal Communications journal. He is the Lead Guest Editor for Special Issues on IEEE Transactions on Vehicular Technology, IEEE Antennas and Propagations Letters, International Journal on Antennas and Propagations. He has received many awards such as Outstanding Youth Foundation from National Natural Science Foundation of China, the Qiushi Outstanding Youth Award by Hong Kong Qiushi Foundation, the New Century Talents by the Chinese Ministry of Education, the Zhan Tianyou Railway Science and Technology Award by the Chinese Ministry of Railways, and the Science and Technology New Star by the Beijing Municipal Science and Technology Commission.


Title: Scatterer Modeling @ Mmwave Band in High-Speed Railway Scenarios (Abstract in Link)


Prof. Wanyang Dai, Nanjing University, China


Biography: Wanyang Dai is a Distinguished Professor in Nanjing University, a Special Guest Expert in Jiangsu FinTech Research Center, President of Jiangsu Probability & Statistics Society, Chairman of Jiangsu BigData-Blockchain and Smart Information Special Committee, and Editor-in-Chief of Journal of Advances in Applied Mathematics, where his research includes stochastic processes related optimization and Pareto optimal control/game, admission/scheduling/routing protocols and performance analysis/optimization for BigData-Blockchain oriented quantum-cloud computing and wireless/wireline communication systems, forward/backward stochastic (ordinary/partial) differential equations and their applications to queueing systems, Internet of Things, energy and power engineering. His “influential" papers are published in ”big name" journals, e.g., Operations Research, Communications in Mathematical Sciences, Journal of Computational and Applied Mathematics, Queueing Systems, Mathematical and Computer Modeling of Dynamical Systems. His researches were awarded as outstanding papers by academic societies, e.g., IEEE Top Conference Series. He received his Ph.D degree from Georgia Institute of Technology, U.S.A., in 1996. He was an MTS (permanent) in End-to-End Network Architecture Department of AT&T Bell Labs (now called Nokia Bell Labs) in U.S.A. from 1996-1999, where he was principal investigators and developers of several projects in telecommunication network architecture and design, network performance and financial engineering, operating system and database development to support various intelligent engines/models for strategy planning and BigData analytics in a “Plug-in and Play" manner, with some (nowadays called cloud computing) project won ”Technology Transfer". He is also editors of over 20 international journals ranging from pure mathematics to its applications (e.g., Wireless Engineering and Technology, Artificial Intelligence), General Chairs and plenary/keynote speakers of over 30 IEEE and international conferences.


Title: Quantum-Cloud-Computing and Mimo Communication: Unification, Fault Tolerance, and Bestgo Scheduling with Blockchain and Big Data (Abstract in Link)



Invited Speakers

Prof. Thorsten Herfet, Department of Computer Science Campus, Saarland University, Germany


Biography: Prof. Dr.-Ing Thorsten Herfet is full university professor at the Saarland Informatics Campus, Germany. Prior to his appointment (2004) he has been VP Advanced Research with Grundig AG and Manager CE Standards and Regulation EMEA with Intel Corp.

Thorsten received his diploma on electrical engineering and his Ph.D. on digital image processing and transmission form Technical University Dortmund in 1988 and 1991 respectively. In his industrial and academic carrier Thorsten published more than 150 papers and articles, holds more than 15 patents and has led large scale collaborative research projects of several 10 Mio. € volume, funded by the German National Science Foundation, Ministry of Research and Education and the European Commission under FP7 and H2020. He served as the Dean for Mathematics and Computer Science 2006-2008 and as the University's Vice President Research and Techology Transfer 2014-2017 and as the Director of Research and Operations of the Intel Visual Computing Institute 2009-2017. Thorsten’s research is focused on Cyber-Physical Networking, Latency and Resilience-Aware Streaming, Computational Videography and High Mobility in Multicarrier-Systems


Assoc. Prof. Emanuel S. Grant, University of North Dakota, USA


Biography: Emanuel S. Grant received a B.Sc. from the University of the West Indies, MCS from Florida Atlantic University, and a Ph.D. from Colorado State University, all in Computer Science. Since 2008, he is an Associate Professor in the Department of Computer Science at the University of North Dakota, USA, where he started as an Assistant Professor in 2002. His research interests are in software development methodologies, formal specification techniques, domain-specific modeling languages, and model driven software development, and software engineering education.

He is an adjunct professor at the Holy Angel University, Philippines, where he is conducting research in software engineering teaching with collaborators from HELP University College, Malaysia; III-Hyderabad, India; Singapore Management University, Singapore; Montclair State University, and University of North Carolina Wilmington of the USA; and the University of Technology, Jamaica. Emanuel is a member of the Association for Computing Machinery (ACM), Upsilon Pi Epsilon (UPE), and the Institute of Electrical and Electronics Engineers (IEEE).


Speech Title: Software Engineering Formal Specification Methodology in Augmented and Virtual Reality Environments (Abstract in Link)