Full papers under the Special Sessions may be submitted until the deadline (see Important Dates).

The Special Sessions available in this conference are as follows:

  1. Security in Signal Processing and Machine Learning
  2. Practices in Signal Processing Education
  3. Signal Processing Challenges for the Future Smart Grid
  4. Human Recognition and Identification Using Advanced Video-Based Surveillance Approach
  5. Signal and Image Processing and its Bio-metric Applications
  6. Neuro-Signal and Image Processing
  7. Biomedical Big Data Analytics
  8. Digital Pathology (Histopathological Image Analysis)
  9. Signal & Image Compression: Application-Specific Schemes
  10. Signal Processing in Geohazard Detection
The description of the sessions are given below:


Special Session Topic



Security in Signal Processing and Machine Learning

Chairs: Assoc. Prof. Dr. Andrew Teoh Beng Jin, Yonsei University, Korea;
               Assoc. Prof. Dr. Ong Thian Song, Multimedia University;
               Dr. Pang Ying Han, Multimedia University

With the advancement of digital technologies and the Internet's global reach, the state of information security and privacy in this century is a worldwide concern. The processes of collection, processing, sharing and storage of personal data give rise to the information security and privacy dilemma. This results an emergent security research interest in the area of signal processing, machine learning, data mining, biometrics, cloud computing and network system.

This session will include topics that encompass the fundamental theory, applications, algorithms, and implementations of signal processing, machine learning, data mining, biometrics, network systems concerning with security and privacy issues. Applications of interest include but are not limited to Biometrics Security, Surveillance Security, Intrusion detection and prevention system, Privacy preserving data mining and machine learning, Cloud Computing Security, and Network Security

The work submitted to this session should provide a substantial novel or significant contribution to this area. The submitted papers should present results of the original and unpublished research.



Practices in Signal Processing Education

Chairs: Assoc. Prof. Dr. Zuhaina Zakaria, Universiti Teknologi MARA;
  Syed Khaleel Ahmed, Universiti Tenaga Nasional

Signal processing is a challenging subject. Many students find it difficult to grasp the subtleties and nuances when first introduced. Therefore, with the availability of multi-media facilities in campuses, practitioners have started exploiting these tools to better communicate and demonstrate these concepts to undergraduate students and other learners.

In this special session, we invite researchers, teachers and trainers to share their creative and innovative practices in teaching signal processing.



Signal Processing Challenges for the Future Smart Grid

Chair: Syed Khaleel Ahmed, Universiti Tenaga Nasional

The relation between electric utilities and consumers is going through a paradigm shift with new ways of generation, transmission, and distribution that will require new solutions. The grid is dynamic, and time-varying with many uncertainties, especially with the establishment of micro-grids, and renewable energy sources. The operation will feature bi-directionality in power and information flow, and consumer empowerment. Hence several challenges, such as demand response, self-healing, improved security, distribution automation, etc need to be met.

In this special session we invite authors to present novel findings that address challenges of the future grid such as data representation and forecasting for tracking (renewable) energy generation, load demand, monitoring and protection from cyber-attacks, etc. The primary emphasis of this special session will be the technical challenges of the smart grid from a signal processing perspective.



Human Recognition and Identification Using Advanced Video-Based Surveillance Approach

Chair: Assoc. Prof. Dr. Syed Abdul Rahman, Universiti Teknologi Malaysia

This special session concentrates on the aspect of advanced methods in detecting and recognizing humans. We invite all authors to submit papers related to the following topics

  • Face recognition in wild environment
  • Human tracking under complex background
  • Gait modelling from multi-camera perspective
  • Human detection and tracking during low illumination condition
  • Crowd detection and behavioural analysis



Signal and Image Processing and its Bio-metric Applications

Chair: Assoc. Prof. Dr. Nor'aini Abd. Jalil, Universiti Teknologi MARA

This special session will focus (but limited) on new acquisition techniques such as 3D-face reconstruction, multi-spectral fingerprint images and recent fast and robust face recognition as s versatile form of biometrics. Implementation of mobile biometrics and other areas in which include biometrics based on voice, fingerprint, iris, handwriting, gait and other modalities, as well as multi-modal biometrics and new biometrics based on novel sensing technologies are welcome for submission in this special session.



Neuro-Signal and Image Processing

Chair: Assoc. Prof. Dr. Aamir Saeed Malik, Universiti Teknologi PETRONAS

During the last decade, brain computer interface (BCI) research has developed into a major research field establishing methodological frameworks, guidelines and a core community of established researchers. These explorations followed a number of interesting installations, suggesting novel ways of human-computer as well as human-human interaction. The special session on Neuro (Brain) Signal Processing will explore the advantages and limitations of using neuro-physiological signals as a modality for the automatic recognition of affective and cognitive states for applications in health, 3D entertainment and transport safety.



Biomedical Big Data Analytics

Chair: Assoc. Prof. Dr. Sarat Chandra Dass, Universiti Teknologi PETRONAS

Biomedical Big data analytics poses a significant challenge as large data sets are collected and studied in numerous domains. The learning and analyzing big data in health domain is transitional research which include from engineering sciences to biomolecular and bioinformatics research.



Digital Pathology (Histopathological Image Analysis)

Chair: Assoc. Prof. Dr. Mohammad Faizal Ahmad Fauzi, Multimedia Universiti

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; developing computer algorithms to assist pathologists from cell detection and counting, to tissue classification and cancer grading. Research in pathological image analysis however has yet to take off in Malaysia, and this special session is intended to bring digital pathology experts around the world to showcase their latest research to local researchers.



Signal & Image Compression: Application-Specific Schemes

Chair: Prof. Dr. Rajasvaran Logeswaran, Asia Pacific University of Technology & Innovation

Compression is a vital part of everyday data handling. This is more so important now as the size of data is ever increasing with the advancement of technology, allowing greater resolutions of signal and image data. Furthermore, with Big Data, Cloud Computing, Green Computing, ICT, etc., there is further emphasis in the need for highly efficient compression schemes.

This special session targets to highlight the advancements made in the various aspects of application-specific signal and image compression schemes. Authors are invited to submit papers in topics related to novel compression schemes for:

  • Medical Signal & Diagnostic Imaging, 
  • Big Data, Cloud Computing & Green Computing, 
  • Telecommunications,
  • Smart Devices, 
  • ASIC / FPGA / Hardware & Embedded Systems,
  • Quality Control / Assurance, etc. 



Signal Processing in Geohazard Detection

Chair: Assoc. Prof. Dr. Mohammad Faizal Ahmad Fauzi, Multimedia University

Geohazard is a geological state that may lead to widespread damage or risk. Due to its frequent and disastrous nature, it has becomes very important to predict these geological hazards in order to reduce damages and avoid human losses. Signal (and image) processing methods have been used to detect and predict various geohazards such as landslides, earthquakes, tsunamis, floods, hurricanes and volcanoes. In this special session, we invite those applying signal processing, image processing, pattern recognition and computer vision techniques in the detection and prediction of various geohazards to submit and present their work at the conference.