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Attraction in Singapore


 

Prof. Shum Ping

School of Electrical and Electronic Engineering,
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.
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 Center.In 2007-2011 he had joint with Hewlett-Packard EPSRC CASE award,and from October 2011 joint with Hewlett-Packard 50%-50% PhD Scholarship.He also did consultancy work for Reuters, London on athematical models for Internet Security.

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.

 

 

 

Invited Speaker

Dr. Tianhua Xu

University College London, United Kingdom

Dr. Tianhua Xu is currently a Senior Research Fellow in Optical Networks Group, Department of Electronic and Electrical Engineering, at University College London, United Kingdom. He received his B.Eng. degree in Information Engineering from Tianjin University, China, in 2005. Between 2005 and 2008, he undertook his M.Sc. and Ph.D. degrees in Optical Engineering, both of which were awarded at Tianjin University. From 2008 to 2012, he took a second Ph.D. study in Microelectronics and Applied Physics, at Royal Institute of Technology, Sweden, obtaining his second Ph.D. degree in June 2012. Following this, he worked as a Postdoctoral Research Fellow at Royal Institute of Technology, and a visiting Postdoctoral Research Fellow at Technical University of Denmark, from June 2012 to July 2013. In July 2013, he joined the Optical Networks Group at University College London. His research interests include the application of digital signal processing, information theory, and machine learning techniques in optical fiber communications and elastic optical networks. His current research work is focused on the investigations of nonlinearity compensation and nonlinear channel modeling in ultra-wideband optical fiber communication networks. Dr. Xu is currently the Chair of the Optics in Digital Systems Technical Group in Optical Society of America, and has been the TPC co-chair or member of 16 IEEE conferences. He has published over 80 journal and conference papers (including 12 invited papers), 1 book chapter and 4 patents.

Speech Title: Carrier phase estimation and nonlinearity compensation in optical communication systems using advanced modulation formats

.Abstract: Over 95% of digital data transmitted are carried by optical fibres, to form the great part of national and international communication infrastructure. Achievable information rates are natural figures of merit in coded communication systems to demonstrate the net data rates achieved by soft-decision decoding. Currently, achievable information rates of optical communication systems are limited by linear and nonlinear transmission impairments in the links. Although chromatic dispersion and polarization mode dispersion can be fully compensated using digital equalizers, additional distortions of equalization enhanced phase noise will be introduced due to the interactions between digital dispersion equalizers and laser phase noise. Also, with the increment of optical launch power the performance of communication systems will be significantly degraded by nonlinear distortions due to the fibre Kerr effect. The distortions from equalization enhanced phase noise and fibre nonlinearities are more severe for systems with larger transmission bandwidths, closer channel spacing, higher-order modulation formats and longer transmission distances. In this work, the efficacy of carrier phase estimation and nonlinearity compensation for enhancing achievable information rates in optical communication systems have been investigated, when different scenarios of system bandwidth, modulation format and transmission distance were applied.

Key Words: Optical fibre communication, achievable information rate, equalization enhanced phase noise, fibre nonlinear effects, carrier phase estimation, nonlinearity compensation