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Keynote Speakers




Prof. Shum Ping, Director, Centre for Optical Fibre Technology, Nanyang Technological University, Singapore


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 30. In recent few years, his publications have been cited about 500 times per year.

Speech Title: Novel Fiber Sensing System
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.



Prof. William Arrasmith, the Florida Institute of Technology (FIT) in Melbourne, Florida, USA


Dr. Arrasmith is currently a professor in the Department of Engineering Systems at FIT. He has 20 years experience with government research and development programs and has had extensive exposure to electro-optical, infrared, and laser detection systems.

Prior to his position at Florida Tech, Dr. Arrasmith served as Program Manager of Physics and Electronics at the Air Force Office of Scientific Research (AFOSR) in Washington DC. In 1997 he moved to the United States Naval Academy in Annapolis, Maryland to teach courses in Engineering and Linear Adaptive Optics. Dr. Arrasmith was then reassigned to the Air Force Technical Applications Center (AFTAC) at Patrick Air Force Base where he became Chief of the Systems and Technology Division. He was later appointed Division Chief for the Advanced Science and Technology Division of the AFTAC and remained in the position until joining Florida Tech in 2003.

Speech Title: Systems Thinking and Modern Modeling Methods in Developing Complex, Dynamic, and Adaptive Systems

Abstract: Modern-day systems are evolving and becoming more complex and interdependent as time progresses. Many contemporary systems are dynamic, adaptive, and may have emergent behavioral properties that are unexpected and can drastically affect system performance over the system’s lifetime. We address foundational systems thinking concepts such as Distinguished Systems Relationships, and Perspectives (DSRP), Vision, Mission, Culture, Learning (VMCL), Systems Architecting, and Holistic Thinking. We illustrate the connections between Systems Thinking and modern Enterprise and Systems Engineering principles, methods, and techniques such as Enterprise Architecture Methods, Object-Oriented Systems Engineering Methods (OOSEm), Decision Engineering, document and Model Based Systems Engineering (MBSE) methods and tools, and the use of Systems Modeling Language (SYSML) and Unified Modeling Language (UML). We discuss the application of Systems Thinking to the design and development of large, complex, dynamic, and adaptive systems and emphasize complex, systems design methods and issues such as wicked problems, emergent behaviors, and predictive behavior. We use Unmanned Aerial Vehicle systems, optical systems, and infrasound systems as examples.


Prof. Alexander Balinsky, Cardiff University, UK


Prof Alexander Balinsky received his PhD degree in Mathematical Physics from the Landau Institute of Theoretical Physics in 1990 and was Research Fellow in the Department of Mathematics at the Technion-Israel Institute of Technology from 1993 till 1997. He joined Cardiff University in 1997. He is a Professor in the Cardiff School of Mathematics and WIMCS (Wales Institute of Mathematical and Computational Sciences), Chair in Mathematical Physics. His current research interests lie in the areas of spectral theory, stability of matter, image processing and machine learning. He has participated in EU TMR network on Partial Differential Equations and Quantum Mechanics (1996-2001). He was PI on three years grant from United State-Israel Binational Science Foundation (1996-1999), on three years EPSRC Research Grant 2003-2006. He was founding member of Cardiff Communication Research Centre. He had several joint with Hewlett-Packard research projects. He also did consultancy work for Reuters, London on mathematical models for Internet Security.

His Impact Case Study "Meeting the Challenges of Data Security: Detecting Unusual Behaviour and Mining Unstructured Data" was featured in the leading article 'The impact of impact' in Times Higher. Out of almost 7,000 case studies that were submitted to REF2014 across all units of assessment from all universities, this case study was one of only 8 highlighted in the article! He was invited by Springer to prepare an article about this Impact Case Study to be publish in a special book "REF 2014 Impact Cases: UK Success Stories in Industrial Mathematics". The book was published in February 2015.

Currently he is PI on joint with Hewlett-Packard and Dyfed Powys Police on "Crime Analysis and Predictive Policing"

Speech Title: Sequences Modelling: from phase transitions to deep learning and recurrent neural networks

Abstract: Modelling sequential data is an important problem in many areas such as Natural Language Processing, Communications, mining of log-files and temporal data. We present some recent developments and tools in these areas and explain connections with phase transitions in physics and image processing



Prof. Maode Ma, Nanyang Technological University, Singapore

Dr. Maode Ma received his Ph.D. degree in Department of 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 wireless networking and network security. He has led and/or participated in 20 research projects funded by government, industry, military and universities in various countries. He has been a general chair, technical symposium chair, tutorial chair, publication chair, publicity chair and session chair for more than 80 international conferences. He has been a member of the technical program committees for more than 180 international conferences. Dr. Ma has more than 320 international academic publications including over 150 journal papers and more than 170 conference papers. 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 for IEEE Communications Surveys and Tutorials, and an Associate Editor for other 4 international academic journals . He had been an Associate Editor for IEEE Communications Letters from 2003 to 2011. Dr. Ma is the Fellow of IET and a senior member of IEEE Communication Society and IEEE Education Society. He is the Chair of the IEEE Education Society, Singapore Chapter. He is serving as an IEEE Communication Society Distinguished Lecturer from 2013 to 2016.

Speech Title: 5G Wireless Communications and Networking

Abstract: The vision of next generation 5G wireless communications lies in providing very high data rates, extremely low latency, manifold increase in base station capacity, and significant improvement in users' perceived quality of service (QoS), compared to current 4G LTE networks. Ever increasing proliferation of smart devices, introduction of new emerging multimedia applications, together with an exponential rise in wireless data demand and usage is already creating a significant burden on existing cellular networks. 5G wireless systems, with improved data rates, capacity, latency, and QoS are expected to be able to overcome most of the current cellular networks' problems. In this speech, I will make an exhaustive review of wireless evolution toward 5G networks. I will first discuss the new architectural changes associated with the radio access network (RAN) design including air interfaces, smart antennas, cloud and heterogeneous RAN. Subsequently, I will briefly introduce underlying novel mm-wave physical layer technologies, encompassing new channel model estimation, directional antenna design, beamforming algorithms, and massive MIMO technologies. Then, the details of MAC layer protocols and multiplexing schemes needed to efficiently support this new physical layer are discussed.


Dr. Dora Juan Juan Hu, Institute for Infocomm Research, Singapore


Dora received her B.Eng (1st Hon.) and Ph.D degree from the school of Electrical and Electronic Engineering, Nanyang Technological University, Singapore in 2004 and 2010 respectively. She joined the RF & Optical Department, Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore from 2009 to 2012 as a scientist and principle investigator to develop novel fibre devices for sensor applications. In 2012 she received A*STAR post-doctoral fellowship (2012-2014). In 2012 she joined the Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, USA as a research fellow and worked on novel photonic technologies for endoscopic diagnosis. Dora joined the Femtosecond Optics Group, Imperial College London in August 2013 and worked on visible and mid-infrared fibre lasers. She is now with the Infrastructure Department, Smart Energy and Environment Cluster, Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore as the department head and working on novel photonic technologies for sensing and biomedical applications.

Speech Title: Photonic crystal fibers for disruptive sensor technology

Abstract: In recent years, photonic crystal fibers (PCFs) with novel microstructures and materials have received significant attention by sensor community. By tailoring their waveguiding properties and material properties, many new sensors and sensors with enhanced performance have been proposed and demonstrated based on specialty fibers. The flexibility in controlling the light-matter interaction in the PCF fiber sensors is demonstrated in both theoretical and experimental studies. In this talk, various PCF-based sensor configurations and applications are presented and discussed.



Prof. Dr. S. Vasavi, VR Siddhartha Engineering College, India


Dr S.Vasavi is working as a Professor in Computer Science & Engineering Department with 20 years of experience. She pursued her MS from BITS, Pilani in the year 1999 and PhD from Acharya Nagarjuna University in the year 2010. She currently holds R&D projects from UGC and ISRO-ADRIN. She published 44 papers in various Scopus indexed conferences and journals. She filed two patents. She is the recipient of UGC International travel grant in the year 2015, for her visit to ICOIP 2015,USA and TEQIP grant for her visit to ICICT 2016, Thailand. She visited reputed universities at U.S.A and Thailand. She also Visited Argonne National Laboratory, A multidisciplinary Science and Engineering Research Center, that address vital national challenges in Clean Energy, Environment, Technology and National Security. Argonne is managed by Chicago Argonne, LLC, for the U.S. Department of Energy's Office of Science. She is an IEEE member, life member of Computer society of India (CSI), Member Machine Intelligence Research Labs , Washington , USA. Her Research Areas are Bigdata analytics: Image object Classification. Reviewer for Scopus Indexed journals [Inderscience, Image vision and computing, Bigdata Journal] and conferences [Springer, IEEE, Elsevier]. Received Best Teacher Award, Vishitta Mahila Award, Conferred Outstanding Women in Engineering Award

Speech Title: Moving Object Classification in a video sequence under Illumination changes

Abstract: The technique of moving object detection and classification from video sequence is important in many applications such as such as airports, banks, military installations etc. Monitoring of data collected from the video cameras by human operators manually for long durations is not feasible in real time and may lead to inaccurate results. Recorded videos are analyzed only when any unwanted event occurs that may help for recovery and not avoidance. Outdoor environments are more challenging for moving object classification because of incomplete appearance details of moving objects due to occlusions and large distance between the camera and moving objects. As such, there is a need to monitor and classify the moving objects by considering the challenges of video in the real time..