Prof. Koichi Asatani, Kogakuin University, Japan
Fellow of IEEE
Koichi Asatani received his B.E.E.E., M.E.E.E. and Ph. D. degrees from Kyoto University in 1969, 1971 and 1974, respectively. From 1974 to 1997, Dr. Asatani was engaged in R&D on optical fiber communication systems, hi-definition video transmission systems, FTTH, ISDN, B-ISDN, ATM networks, IP Networks and their strategic planning in NTT. In 1997 he joined Kogakuin University as Professor, and in 1999 he joined Graduate School of Global Information and Telecommunication, Waseda University as Visiting Professor, both in Tokyo, Japan. He is currently Lecture Professor, Nankai University, Tianjin, China and Professor Emeritus, Kogakuin University. He is Fellow of IEEE and Fellow of IEICE. He was appointed as Distinguished Lecturer of IEEE Communications Society for 2006-2009 and 2011-2012, 2013-2014. He is a founder of Communications QoS, Reliability and Performance Modeling series symposium at ICCs and Globecoms. From 1988 through 2000, he served as Vice-Chairman of ITU-T SG 13 (formerly CCITT SG XVIII), responsible for digital networks including GII, IP networks, NGN and Future Networks. He serves as Chair for National Committee on Next Generation Networks in Japan. He is also serving as Chair, R&D and Standardizations Working Group, Next Generation IP Network Promotion Forum. He is serving as IEEE Communications Society Director, Membership Programs Development for 2014-2015 term. He was also elected as a member of Board of Governor, IEICE, and Chair, IEICE Standards Activities for 2014-2016.
Speech Title: Trends, Issues and Challenges toward 5G
Abstract: The 5G is being discussed and developed related to almost all areas of information and communications of the future. The Internet is evolving from human-to-human communications to machine to machine communications, which resulted in Internet of Things (IoT). IoT will drastically reshape the framework of business, industries, administration, and many other areas of the society. This talk reviews trends in Global ICT and clarifies that 5G is a kind of goal in many ways in research and development on ICT. It describes the expected 5G images and discusses the issues and challenges in realization and in deployment as an infrastructure.
Prof. Shum Ping, Nanyang Technological University, Singapore
SPIE Fellow & OSA Fellow
Prof Shum received his PhD degree in Electronic and Electrical Engineering from the University of Birmingham, UK, in 1995. In 1999, he joined the School of Electrical and Electronic Engineering, NTU. Since 2014, he has been appointed as the Director of Centre for Optical Fibre Technology and was the chair, committee member and international advisor of many international conferences. He was also the founding member of IEEE Photonics Society Singapore Chapter (formerly IEEE LEOS). He is currently the chairman of OSA Singapore Chapter. Prof Shum has published more than 500 journal and conference papers with his research interests being in the areas of speciality fibres and fibre-based devices. His H-index is 38. In recent few years, his publications have been cited about 500-800 times per year. He is SPIE Fellow and OSA Fellow.
Speech Title: Fiber Sensing Systems
Abstract: Optical fiber-based devices have been widely deployed in recent years. There are many advantages of using fiber as a sensor. These include electrically-passive operation, light weight, immunity to radio frequency interference and electromagnetic interference, high sensitivity, compact size, corrosion resistance, easily multiplexing and potentially low cost. Several novel fiber-based sensors and technologies developed are presented here, including fiber Bragg grating (FBG) based sensors, photonic crystal fiber (PCF) based sensors, specialty fiber-based sensors and distributed fiber sensing systems. FBGs as instinctive sensors, are ingeniously designed as two-dimensional (2D) tilt sensors, displacement sensors, accelerometers and corrosion sensors here; PCF based evanescent field absorption sensor, PCF induced Mach-Zehnder interferometer and Fabry-Perot refractometer for temperature and refractive index sensing are presented; based on localized surface Plasmon resonant (LSPR) effect, nano-sized fiber tip with gold nanoparticles are demonstrated for live cell index bio-sensing applications.
University of Electronic Science and Technology of China, China
Dr. Gang Feng (M’01, SM’06) received his BEng. and MEng degrees in Electronic Engineering from the University of Electronic Science and Technology of China (UESTC), in 1986 and 1989, respectively, and the Ph.D. degrees in Information Engineering from The Chinese University of Hong Kong in 1998. He joined the School of Electric and Electronic Engineering, Nanyang Technological University in December 2000 as anassistant professor and became an associate professor in October 2005. At present he is a professor with the National Laboratory of Science and Technologies on Communications, UESTC. Dr. Feng has extensive research experience in wireless networking and has published widely in computer networking and wireless networking research. Three of his papers have been listed as ESI highly cited papers. His research interests include next generation mobile networks, mobile cloud computing, big data analytics for wireless networking, etc. Dr. Feng is a senior member of IEEE.
Speech Title: AI at the Edges of Wireless Networks: Opportunities, Challenges and Case Studies
Abstract: The ever-increasingly complicated configuration issues and blossoming new service requirements will pose great challenges to wireless networks. Recent breakthroughs in artificial intelligence (AI) and machine learning (ML), and the availability of powerful computing platforms provide us with technologies to address these challenges by performing tasks once seemed impossible. Therefore, we expect that AI can provide many new and unprecedented opportunities in designing network architectures, optimizing network operations, and managing different user services and content, etc. In this talk, I will first discuss the opportunities and challenges to exploit AI at the edge of wireless networks. Next, I will focus on two case studies: online learning based Discontinuous Reception (DRX) mechanism for machine-type communications and multi-agent reinforcement learning for efficient content caching in mobile D2D networks. These case studies with numerical results demonstrate the effectiveness and advantages of AI based technologies for improving network performance with reasonable signaling overhead for future wireless networks.
Prof. Muhammad Khurram Khan, King Saud University, Kingdom of Saudi Arabia
Fellow of IET (UK) & Fellow of the BCS (UK)
Muhammad Khurram Khan is currently working as a Full Professor at the Center of Excellence in Information Assurance (CoEIA), King Saud University, Kingdom of Saudi Arabia. He is one of the founding members of CoEIA and has served as Manager R&D from March 2009 until March 2012. He, along with his team, developed and successfully managed Cybersecurity research program of CoEIA, which turned the center as one of the best centers of excellence in Saudi Arabia and in the region.
Prof. Khurram is the Editor-in-Chief of a well-reputed International journal ‘Telecommunication Systems’ published by Springer-Verlag for over 25 years with its recent impact factor of 1.542 (JCR 2017). Furthermore, he is on the editorial board of several journals, including, IEEE Communications Surveys & Tutorials, IEEE Communications Magazine, IEEE IoT Journal, IEEE Access, IEEE Transactions on Consumer Electronics, Journal of Network & Computer Applications (Elsevier), IEEE Consumer Electronics Magazine, PLOS ONE, Electronic Commerce Research (Springer), IET Wireless Sensor Systems, Journal of Information Hiding and Multimedia Signal Processing (JIHMSP), and International Journal of Biometrics (Inderscience), etc. He has also played role of the guest editor of several international journals of IEEE, Springer, Wiley, Elsevier Science, and Hindawi, etc. Moreover, he is one of the organizing chairs of more than 5 dozen international conferences and member of technical committees of more than 10 dozen international conferences. In addition, he is an active reviewer of many international journals as well as national funding agencies of Switzerland, Italy, Saudi Arabia and Czech Republic.
Prof. Khurram is an honorary Professor at IIIRC, Shenzhen Graduate School, China and an adjunct professor at Fujian University of Technology, China. He has secured an outstanding leadership award at IEEE international conference on Networks and Systems Security 2009, Australia. He has been included in the Marquis Who’s Who in the World 2010 edition. Besides, he has received certificate of appreciation for outstanding contributions in ‘Biometrics & Information Security Research’ at AIT international Conference, June 2010 at Japan. He has been awarded a Gold Medal for the ‘Best Invention & Innovation Award’ at 10th Malaysian Technology Expo 2011, Malaysia. Moreover, in April 2013, his invention has got a Bronze Medal at '41st International Exhibition of Inventions' at Geneva, Switzerland. In addition, he was awarded best paper award from the Journal of Network & Computer Applications (Elsevier) in Dec. 2015.
Prof. Khurram is the recipient of King Saud University Award for Scientific Excellence (Research Productivity) in May 2015. He is also a recipient of King Saud University Award for Scientific Excellence (Inventions, Innovations, and Technology Licensing) in May 2016.
He has published more than 325 papers in the journals and conferences of international repute. In addition, he is an inventor of 10 US/PCT patents. He has edited 7 books/proceedings published by Springer-Verlag and IEEE. He has secured several national and international competitive research grants in the domain of Cybersecurity. Prof. Khurram has played a leading role in developing 'BS Cybersecurity Degree Program' and 'Higher Diploma in Cybersecurity' at King Saud University. His research areas of interest are Cybersecurity, digital authentication, biometrics, multimedia security, IoT security, cloud computing security, and technological innovation management.
He is a fellow of the IET (UK), fellow of the BCS (UK), fellow of the FTRA (Korea), senior member of the IEEE (USA), senior member of the IACSIT (Singapore), member of the IEEE Consumer Electronics Society, IEEE Communications Society, IEEE Technical Committee on Security & Privacy, IEEE IoT Community, IEEE Smart Cities Community, and IEEE Cybersecurity Community. He is also the Vice Chair of IEEE Communications Society (Saudi Arabian Chapter).
His most recent profile can be visited at http://www.professorkhurram.com
Speech Title: Cybersecurity Threats and Challenges for Smart Cities
Abstract: The modern and disruptive technological advancements offer profound promises for the future of smart cities, which harness the power of ICT to address the urbanization challenges and consequently bolster the quality of life of its inhabitants. Recently, it has been witnessed that many countries have built smart cities and this concept is booming worldwide. The use of cutting-edge technologies in the smart cities e.g. cyber physical systems, IoT, Cloud computing, blockchain, and Big Data could bring an array of benefits to provide a multitude of useful services that may help all the stakeholders. These services can be extended to a wide range of domains for efficient urban operations, including the environment, transportation, healthcare, tourism, mobility, energy management, and safety and security etc. However, the increased connectivity of smart cities may expose them to a diverse set of Cybersecurity risks, which could put the entire city operations and lives of its inhabitants at jeopardy. Therefore, as smart cities move from concept to reality, Cybersecurity becomes a top concern for the digitally connected communities. In this talk, we would explore various technical and technological concerns that could be faced by the smart cities. In particular, we would focus on the Cybersecurity challenges, which should be placed at the top of the agenda and recognized as the paramount priority of the stakeholders. Moreover, we would also discuss some of our research contributions as well as future directions in this domain.
The University of Alabama, Tuscaloosa, USA
Dr. Yang Xiao currently is a Professor of Department of Computer Science at the University of Alabama, Tuscaloosa, AL, USA. His current research interests include Cyber Physical Systems, Internet of Things, Security, Wired/Wireless Networks, Smart Grid, and Telemedicine. He has published over 200 journal papers and over 200 conference papers. Dr. Xiao was a Voting Member of IEEE 802.11 Working Group from 2001 to 2004, involving IEEE 802.11 (WIFI) standardization work. He is a Fellow of IET. He currently serves as Editor-in-Chief for Cyber-Physical Systems (Journal), International Journal of Security and Networks, International Journal of Sensor Networks, and Journal of Communications. He had (s) been an Editorial Board or Associate Editor for 20 international journals. He served (s) as a Guest Editor for over 20 times for different international journals.
Speech Title: Monitoring Systems and the Internet
Speech Abstract: Accountability implies that any entity should be held responsible for its own specific action or behavior so that the entity is part of larger chains of accountability. One of the goals of accountability is that once an event has transpired, the events that took place are traceable so that the causes can be determined afterward. The poor accountability provided by today's computers and networks wastes a great deal of money and effort. This is due to the simple fact that today's computing and network infrastructure was not built with accountability in mind. In this talk we introduce our previous work: accountable logging methodology called flow-net. We apply this methodology to many applications ranging from operating system design to computer networks.
Prof. Dr. Xu Huang,
University of Canberra, Australia
Professor (Dr) Xu Huang has received the B.E. and M.E. degrees and first Ph.D. in Electrical Engineering and Optical Engineering prior to 1989 and his second Ph.D. in Experimental Physics in the University of New South Wales, Australia in 1992. He has earned the Graduate Certificate in Higher Education in 2004 at the University of Canberra, Australia. He has been working on the areas of cybersecurity, network security, the telecommunications, networking engineering, network security, Internet of Things (IoT), Clouding computing, software engineering, wireless communications, optical communications, digital signal processing, bio-signal processing, brain computer interface (BCI), intelligent system, smart networks, and nuclear physics more than 30 years. Currently he was the Head of the Engineering at the Faculty of Information Sciences and Engineering, University of Canberra, Australia. He was the Course Conveners including Engineering (106JA), Doctor of Philosophy (235AA), Masters of Information Sciences (by research) (862AA), Professional Doctor (861AA), Master of Engineering. He has been a senior member of IEEE in Electronics and in Computer Society since 1989 and a Fellow of Institution of Engineering Australian (FIEAust), Chartered Professional Engineering (CPEng), a Member of Australian Institute of Physics; He was a member of the Executive Committee of the Australian and New Zealand Association for Engineering Education, he has been a member of Committee of the Institution of Engineering Australia at Canberra Branch for last 10 years. Dr Xu Huang has been the Chair, Co-Chair, and TCM at various high quality International Conferences, and Editor for various high quality Journals. Professor Huang has edited seven books, nine Book Chapters, 41 Journal Articles, and about two hundred papers in high level of the IEEE and other international conferences (within ERA ranking); Professor has been awarded 17 patents in Australia between 2010 and 2013.
Biomedical Signal Processing and Analysis of Neuroimaging from
fNIRS for Human Pain
Abstract: One of major biomedical signal-pain and its diagnosis has been critical but hard clinical practice, in particularly for nonverbal patients. However, as we know that neuroimaging methods, such as functional near-infrared spectroscopy (fNIRS), have shown some great encouraging assessing neuronal function corresponding to nociception and pain. Recently research results strongly suggest that neuroimaging together with supports from machine learning may be practically used to not only facilitate but also can predict different cognitive tasks over this challenge. The aim of this current research is to expand our previous studies by exploring the classification of fNIRS signals (oxyhaemoglobin) according to temperature level (we define cold and hot) and corresponding pain intensity (say low and high) by means of machine learning models. In order to find out the relations between temperatures and pain intensity, we defined and used the quantitative sensory testing to determine pain threshold and pain tolerance for the cold and heat in all eighteen healthy people, defined as subjects,. The classification algorithm is based on the bag-of-words approach, a histogram representation was used in document classification based on the frequencies of extracted words and adapted for time series. Two learning algorithms were used separately, namely, K-nearest neighbor (K-NN) and support vector machines (SVM). A comparison between two sets of fNIRS channels was made in our classification task. The results showed that K-NN obtained slightly better results (92.1%) than SVM (91.3%) with all the 24 channels; however, the performances slightly dropped if using only channels from the region of interest with K-NN (91.5%) and SVM (90.8%). These research results encourage potential applications of fNIRS in the development of a physiologically based diagnosis of human pain, including in clinical parties.
Assoc. Prof. Mohammad Faizal Ahmad Fauzi
Multimedia University, Malaysia
Mohammad Faizal Ahmad Fauzi (MIEM, SMIEEE) received his B.Eng. in Electrical and Electronic Engineering degree from Imperial College London in 1999 and his Ph.D. in Electronics and Computer Science degree from the University of Southampton in 2004. He is currently an Associate Professor at the Faculty of Engineering, Multimedia University, Malaysia. His main research interests are in the area of signal and image processing, pattern recognition, computer vision and biomedical informatics. He has published more than 70 journal and conference articles to date. Mohammad Faizal is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). He was the chair for the Signal Processing Society Malaysia Chapter from 2008 to 2013. Under his stewardship, the chapter won the inaugural IEEE Signal Processing Society Chapter of the Year Award in 2011. He is currently serving as the Chair of the IEEE Malaysia Section since January 2017.
Speech Title: Bringing Machine Intelligence to Cancer Histopathology Research
Speech Abstract: Digital pathology is the management and interpretation of pathology information in a digital environment that enables better, faster and cheaper diagnosis, prognosis and prediction of cancer and other important diseases. With the advent of whole slide imaging, the field of digital pathology has exploded, and is currently regarded as one of the most promising avenues of diagnostic medicine. Histopathological analysis of tissues has also been gaining a lot of interests as a result. Many computer algorithms have been developed to assist pathologists, from cell detection and counting, to tissue classification and cancer grading. The introduction of machine intelligence into digital pathology will enable the pathologists to channel their much needed medical expertise in other important work. In this talk, we will share our work on the detection, analysis and grading of various cancers. These include glioblastoma and metastases classification in neuropathology intraoperative diagnosis, follicular lymphoma grading, prognostic reporting of p53 expression, breast carcinoma detection and grading, as well as tumor budding detection in colorectal cancer.
Prof. Maode Ma
Nanyang Technological University, Singapore
Fellow of IET (UK)
Dr. Maode Ma, a Fellow of IET, received his Ph.D. degree in computer science from Hong Kong University of Science and Technology in 1999. Now, Dr. Ma is an Associate Professor in the School of Electrical and Electronic Engineering at Nanyang Technological University in Singapore. He has extensive research interests including network security and wireless networking. Dr. Ma has more than 360 international academic publications including over 170 journal papers and about 190 conference papers. He has delivered over 50 keynote speeches at various international conferences. He has served as conference chairs for over 100 international conferences. He currently serves as the Editor-in-Chief of International Journal of Computer and Communication Engineering and International Journal of Electronic Transport. He also serves as a Senior Editor or an Associate Editor for other 5 international academic journals. Dr. Ma is a Senior Member of IEEE Communication Society and IEEE Education Society, and a Member of ACM. He is the Chair of the IEEE Education Society, Singapore Chapter and the Chair of the ACM, Singapore Chapter. He has served as an IEEE Communication Society Distinguished Lecturer from 2013-2016.
Speech Title: Secured Enhancements for 6LoWPANs
Abstract: In order to promote the development of the IoT, the Internet Engineering Task Force (IETF) has been developing a standard named Internet Protocol version 6 (IPv6) over Low Power Wireless Personal Area Networks (6LoWPAN) to enable IP-based sensing devices to connect to the Internet. Besides, to support mobility management, a network-based localized mobility management (NETLMM) protocol named Proxy Mobile IPv6 (PMIPv6) is proposed. Although the 6LoWPAN standard has specified most of important issues in the design of a network, while the security and mobility issues have not been addressed. In this talk, I will address security issues, particularly on the issue of authentication in different scenarios, in 6LoWPAN networks. We present our solutions of the research work in series to protect the 6LoWPAN networks. The designed security schemes would not only protect the networks from different types of malicious attacks but also enable 6LoWPAN devices to efficiently and securely roam in the 6LoWPAN networks. The formal verification by various formal verification tools and the simulation by JAVA show that the proposed security schemes could efficiently enhance the security functionalities of 6LoWPANs to prevent various malicious attacks with less computational cost.