ICICS 2015

10th International Conference on Information, Communications and Signal Processing

December 2-4, 2015


ICICS 2015 will feature 4 half-day tutorials and Workshops. Registered ICICS participants will be able to attend these tutorials/workshops FOC.

Tutorial TA1

Date: Friday, December 4, 09:00-12:30
Speaker: Dr. Javier A. Barria, Imperial College London
On-Line Time Series Classification with Application to Anomaly Detection

This tutorial will present and discuss recent research output on a domain-independent temporal data representation framework carried out at the Department of Electrical and Electronic Engineering, Imperial College London. The proposed data representation framework, named Structural Generative Descriptions (SGDs), is based on a novel data representation strategy that combines structural and statistical pattern recognition approaches, the key idea being to move the structural pattern recognition problem to the probability domain. The framework consists of three tasks: a) decomposing input temporal patterns into sub-patterns in time or any other transformed domain, b) mapping these sub-patterns into the probability domain to find attributes of elemental probability sub-patterns called primitives, and c) mining the input temporal patterns according to the attributes of their corresponding probability domain sub-patterns.

The following subjects and concepts will be discussed: i) introduction to data mining concepts and framework: data, information and knowledge, ii) background concepts to the SGD framework here presented from pattern recognition (structural vs. statistical), machine learning, sparse signal processing, and non-parametric estimation, iii) differences between traditional data mining and temporal data objects (e.g. time series and data streams) and the need of novel data representations, and iv) the building blocks of a generic representation for temporal data that capture structural dependencies into a fixed length vector.

Finally, the tutorial will highlight real world applications, where the intrinsic domain independent nature of the proposed SGD framework can be used: i) biometric recognition and forensics, ii) smart infrastructures monitoring, iii) machine/motor health conditioning monitoring, iv) transportation networks monitoring and, v) environmental (pollution) monitoring.


Dr. Javier A. Barria holds a Ph.D. degree in Electrical and Electronic Engineering and a M.B.A. degree, both from Imperial College London. At present, he is a Reader with the Intelligent Systems and Networks Group, and also the director of the Communications and Signal Processing MSc course in the Department of Electrical and Electronic Engineering at Imperial College.

His current research interests include the application of distributed algorithms to solve resource allocation problems in networked environments. Anomalous behaviour detection for communication networks, intelligent transportation systems, and power distribution networks are of particular interest. He has been a member of the editorial board of The Computer Journal since 2008, and has been a guest editor on the ACM Transaction on Embedded Computing Systems. He is a member of various European member states research council boards.

Dr Barria has been the joint holder of several European Commission projects (Frameworks 5, 6 and 7) and U.K. Engineering and Physical Sciences Research Council (EPSRC) project contracts, all concerned with aspects of communication systems design and management. More recently, he has participated in several activities of the European Institute of Innovation and Technology (EIT) ICT Labs Smart Energy Systems action line as a task leader.

Furthermore, Dr. Barria is a Fellow of the Institution of Engineering and Technology (IET) and a Chartered Engineer in the U.K. He was a British Telecom Research Fellow from 2001 to 2002 and a Tan Chin Tuan Research Fellow at Nanyang Technological University between 2003 and 2004.

Workshop WA1

Date: Friday, December 4, 09:00-12:30
Speaker: NI (National Instruments) Trainers
Hands-On Workshop on Rapid Prototyping of Real Time Wireless Systems

In today’s competitive wireless research space, the ability to quickly prototype ideas on hardware using real signals is more important than ever. In this half day tutorial, you will gain hands-on experience with National Instruments’ integrated hardware and software platform for rapid prototyping of real-time wireless systems using the NI LabVIEW Communications System Design Suite (LabVIEW Communications) and the NI USRP-RIO FPGA-based software defined radio. At the end of the tutorial, you will be able to design, simulate, and prototype a 5 MHz LTE-based real-time OFDM link on a high performance FPGA, and transmit data over the air using the link you design on the NI USRP-RIO. The tutorial will cover the most important aspects of the idea-to-prototype flow in a single tool, including floating-point simulation, floating-point to fixed-point conversion, HW/SW partitioning, performance-complexity tradeoffs, and finally verification and testing on an FPGA-based software-defined radio. Note: No prior experience with FPGA’s or NI hardware or software tools is required but you should have working knowledge on digital and wireless communications topics such as OFDM.

Workshop Outline

  • Overview of NI LabVIEW Communications System Design Suite & NI USRP RIO
  • System Architecture Definition
    • System Designer Tool
    • Reference Designs and Sample Projects
  • Initial Floating Point Algorithm Development
    • MathScript and C Nodes
    • Multi-Rate Diagram
    • Unit Testing
  • Preparing a Design for Deployment to FPGA
    • Fixed Point Conversion
    • System Testbenches
    • FPGA Simulation
    • FPGA Compile
  • Connecting and Exercising your Design Over The Air
    • Integrating the design into an existing Sample Project
    • Data communication to/from the FPGA

Tutorial TP1

Date: Friday, December 4, 13:30-17:00
Speaker: Dr. Rui Zhang, National University of Singapore
Wireless Communications in the Era of Energism

In this talk, we will introduce some recent advances in energy technology including energy harvesting, smart grid, and wireless energy transfer, and their applications in wireless communications. We will present the key challenges for designing wireless communication systems powered by these new energy supply methods, and point out promising solution approaches. In particular, we will focus our discussion on wireless sensor networks with sensors powered by energy harvesting and/or wireless energy transfer as well as wireless cellular networks with the base stations powered by energy harvesting and/or smart (power) grid. Promising directions for future research and applications will also be highlighted.


Dr. Rui Zhang received the B.Eng. (First-Class Hons.) and M.Eng. degrees from the National University of Singapore in 2000 and 2001, respectively, and the Ph.D. degree from the Stanford University, Stanford, CA USA, in 2007, all in electrical engineering. From 2007 to 2010, he worked at the Institute for Infocomm Research, A*STAR, Singapore, where he now holds a Senior Research Scientist joint appointment. Since 2010, he has joined the Department of Electrical and Computer Engineering of the National University of Singapore as an Assistant Professor. His current research interests include energy-efficient and energy-harvesting-enabled wireless communications, wireless information and power transfer, multiuser MIMO, cognitive radio, smart girds, and optimization methods. He has published over 200 papers, which have been cited more than 8,000 times. He was the recipient of the 6th IEEE Communications Society Asia-Pacific Best Young Researcher Award in 2011, the Young Investigator Award of the National University of Singapore in 2011, and the Young Researcher Award of the National University of Singapore in 2015. He was the co-recipient of the IEEE Marconi Prize Paper Award in Wireless Communications in 2015. He has served for over 30 IEEE conferences as TPC members and Organizing Committee members. He is now an elected member of the IEEE Signal Processing Society SPCOM and SAM Technical Committees, and the Vice Chair of the IEEE ComSoc Asia-Pacific Board Technical Affairs Committee. He is an editor for the IEEE Transactions on Wireless Communications, the IEEE Transactions on Signal Processing, and the IEEE Journal on Selected Areas in Communications (Green Communications and Networking Series).

Workshop WP1

Date: Friday, December 4, 13:30-17:00
Speaker: Dr. Bryan Ng, Victoria University of Wellington
Hands-On Workshop on SDN (Software Defined Networking)

Future generation networking systems will require a paradigm shift in how they are networked, organised, configured and optimised based on their operating situation. With the emergence of Software Defined Networks (SDN), it is envisaged that networks can be run in a more flexible and cost efficient manner by increasing network resource utilization and by decreasing operational costs.

This workshop intends to introduce software defined networking concepts and practice for people new to the field. The workshop will also be a forum for practitioners from industry, academia and government to exchange ideas, present new results and provide future vision on these topics.

The first half of the workshop will consist of talks, while the second half will be more hands-on. To make the most of the second half sessions, you should have some basic programming experience (we will be using Python) and you need to bring a laptop.

Workshop Outline
1st Half

  • Introduction to SDN technology (history, definitions, technical and business drivers).
  • Evolution of SDN, OpenFlow 1.5, P4, and beyond.
  • SDN Controller Overview and anatomy.
  • Introduction to OpenFlow.
2nd Half
  • Mininet and Ryu.
  • What are SDN Applications, what opportunities do the present and how do you build them?
  • Sample Applications:
    1. Rapid IP Redirection with SDN
    2. Dynamic RouteFlow -- Creating Layer 3 Topologies
    3. SDN Traffic Classification for Enterprise Networks
  • OpenFlow Firewall Acceleration

Dr. Bryan Ng is currently a lecturer at the School of Engineering & Computer Science at Victoria University of Wellington. He completed his Bachelor's, Master's and Ph.D in the area of communication and networking. Prior to taking up appointment at Victoria University of Wellington, he held teaching & research positions in Malaysia and France in addition to attachments to commercial research laboratories Intel, Motorola, Panasonic, Orange Labs and AC Nielsen. The two main axis of Bryan's research are performance analysis of communication networks and modelling networking protocols. Past research delved into throughput/delay analysis in 802.11 and 802.16 protocols utilising Markov chains, decision processes and differential equations as the main tools.