Keynotes Session
Keynote Session 1

Scientia Professor Nigel Lovell

Nigel Lovell is currently a Scientia Professor at the Graduate School of Biomedical Engineering, University of New South Wales (UNSW) working in the areas of bionics, biomonitoring and physiological modelling. He is the President for the Institution of Electrical and Electronic Engineers (IEEE) Engineering in Medicine and Biology Society (EMBS) which is the world's largest member-based biomedical engineering professional organization. He is a Fellow of five learned academies throughout the world and has been awarded over $76 million in research, consultancy and infrastructure funding in his career. His research and development work has covered areas of expertise ranging from web-enabling technologies, database design, biomedical instrumentation, biological signal processing, neurophysiology and physiological modeling. His principal research interests have been focused in the application of appropriate technology in primary health care and design of a bionic eye. He has published 550+ journal articles, books, chapters, patents, refereed proceedings and abstracts. He is a board member of the journal 'Physiological Measurement', a founding board member of the 'Journal of Neural Engineering' and an Associate Editor of 'Transactions on Information Technology in Biomedicine'.

Keynote Session 2

Prof Nitish V. Thakor

Nitish V. Thakor is a Professor of Biomedical Engineering. Electrical and Computer Engineering, and Neurology at Johns Hopkins and directs the Laboratory for Neuroengineering. He is also the Director the Singapore Institute for Neurotechnology (SINAPSE) at the National University of Singapore. Dr. Thakor’s technical expertise is in the field of Neuroengineering, including neural diagnostic instrumentation, neural microsystems, neural signal processing, and optical imaging of the nervous system, neural control of prosthesis and brain machine interface. He is currently the Editor in Chief (EIC) of Medical and Biological Engineering and Computing, and was the EIC of IEEE Transactions on Neural Systems and Rehabilitation Engineering from 2005-2011. Dr. Thakor is a recipient of a Research Career Development Award from the National Institutes of Health and a Presidential Young Investigator Award from the National Science Foundation, and is a Fellow of the American Institute of Medical and Biological Engineering, IEEE, Founding Fellow of the Biomedical Engineering Society, and Fellow of International Federation of Medical and Biological Engineering. He is a recipient of the award of Technical Excellence in Neuroengineering from IEEE Engineering in Medicine and Biology Society, Distinguished Alumnus Award from Indian Institute of Technology, Bombay, India, and a Centennial Medal from the University Of Wisconsin School Of Engineering. Thakor has authored more than 360 refereed journal papers and more than 20 patents.

Keynote Session 3

Prof. Toshiyo Tamura

Toshiyo Tamura, Ph.D. born in Chiba in 1949, received his Ph.D. degree in 1980 at Tokyo Medical and Dental University. From 1980 he has served as a research associate in the Institute for Medical and Dental Engineering, Tokyo Medical and Dental University. In 1984 he spent a year and half at a Department of Biomedical Engineering, Linkoping University, Sweden, under Professor P.A. Oberg. During this period he was involved in the research regarding peripheral blood flow measurement. From 1991 to 1993, he was an Associate Professor, Department of Electrical Engineering, Faculty of Engineering, Yamaguchi University, Ube, Yamaguchi. From 1993 to 1998, was an Associate Professor at Institute for Medical and Dental Engineering, Tokyo Medical and Dental University. From 1998, he served as a director, Department of Gerontechnology, National Institute for Longevity Sciences. Currently, he is a senior researcher in Future Robotics Organization at Waseda University, Japan. His research and teaching activities have been focused on biomedical transducers involving noninvasive apparatus and biosignal analysis. His scientific work is represented more than 100 peer-reviewed articles in national and international journals. He is also an active member in several national and international societies and has presented numerous lectures at international meetings.

Keynote Session 4

Prof. Fabrice Meriaudeau

Fabrice MERIAUDEAU was born in Villeurbanne, France, on March 18, 1971. He received both the master degree in physics at Dijon University, France as well as an Engineering Degree (FIRST) in material sciences in 1994. He also obtained a Ph.D. in image processing at the same University in 1997. He was a postdoc for a year at The Oak Ridge National Laboratory. He is currently “Professeur des Universités” and Director of the Le2i (UMR CNRS), which has more than 200 staff members. His research interests were focused on image processing for non-conventional imaging systems (UV, IR, polarization…) and more recently on medical/biomedical imaging. He has coordinated an Erasmus Mundus Master in the field of Computer Vision and Robotics from 2006 to 2010 and he was the Vice President for International Affairs for the University of Burgundy from 2010 to 2012. He has authored and co-authored more than 150 international publications and holds three patents. In 2016 he joined the Universiti Teknologi PETRONAS as a full professor and was recently appointed as the Director of the Institute Health and Analytics.

Keynote Session 5

Prof. Dato' Dr. Burhanuddin Yeop Majlis

Burhanuddin Yeop Majlis is a professor of microelectronics at the Faculty of Engineering. He received his Ph.D. in microelectronics from University of Durham, United Kingdom in 1988, MSc in microelectronics from University of Wales, UK in 1980. and BSc(Hons.) in Physics from UKM in 1979. He was a Deputy Dean of Engineering Faculty from 1995 until 1997. He is also a Research Fellow of Telekom Malaysia Research & Development Division, and he was the director of UKM-TM Microelectronics Research Centre at the Faculty of Engineering, UKM. He was responsible in developing and planning the setting up of the clean room for research at UKM. He had attended intensive industrial training in GaAs MMIC design and manufacture at GEC-Marconi Material Technology Ltd. United Kingdom. He is a senior member of the Institution of Electrical and Electronics Engineer (IEEE) and the Chairman of IEEE Electron Devices Malaysia Chapter from 1994 to 2006. He also Fellow Member of Malaysian Solid State Science and Technology Society (FMASS). He is the founder chaiman and President of Malaysia Nanotechnology Association(MNA) which is established in 2007. He initiated research in microfabrication and microsensors at UKM in 1995 and has also initiated research in GaAs technology with Telekom Malaysia. In 2001 he stared research in MEMS with substantial research funding of US$10 million from Ministry of Science, Technology and Innovation. His current interest are design and fabrication of MEMS sensor, RFMEMS, BiOMEMS and microenergy. He has published four text books in electronics and one book on Integrated Circuits Fabrication Technology for undergraduate courses and more than 400 academic research papers. Now he is the founder director of Institute of Microengineering and Nanoelectronics(IMEN).

Keynote Session 6

Prof. Sunita Chauhan

Medical robotics, encompassing both intelligent diagnostics and therapeutic/surgical techniques, is the flagship area of research at the Bio-mechatronics Devices & Systems (BiDS) group led by Professor Sunita Chauhan. In conjunction with computer-assisted imaging that provides digitized images for precise location and function of diseased areas, robotic techniques can deliver several benefits such as higher accuracy, precision and repeatability in positioning surgical tools and manoeuvring controlled trajectories. She investigates pre-and post-operative surgical planning platforms, real-time imaging and dedicated robotic systems both at macro- and micro-scales, applicable to detection and treatment of several diseases affecting different parts of the human body. Chauhan et al. pioneered one of the early non-invasive, blood-less surgery robots nicknamed FUSBOTs, using multi-probe high-intensity-focused-ultrasound for the brain, breast and abdomen reaching organs such as liver, kidneys, prostate etc. Surgical simulation techniques, both virtual simulation and physical (smart mannequins), are being devised to train the surgeons for better treatment outcomes and also to save the lives of thousands of animals that would otherwise be used for this purpose.

Keynote Session 7

Assoc. Prof. Ann-Marie Hughes

Dr Ann-Marie Hughes is an Associate Professor within the Faculty of Health Sciences, University of Southampton. Ann-Marie’s research streams are centred on her understanding of user needs, which she has used to lead engineering design and clinical evaluation of novel technologies including Robotics, Functional Electrical Stimulation, Internet-based motivational rehabilitation and Non-invasive brain stimulation. This has driven the design of multidisciplinary, research-led education and stakeholder engagement. Her research involves the development, application and user perspectives of novel technologies primarily to improve arm movement for people with neurological conditions such as stroke and multiple sclerosis. These technologies include Electrical Stimulation (ES), Non-Invasive Brain Stimulation (NIBS), Rehabilitation Robotics, Constraint Induced Movement Therapy (CIMT), and Movement Sensors.

Keynote Session 8

Prof Saman K. Halgamuge

Saman Halgamuge, Fellow of the IEEE, is a Professor in the Department of Mechanical Engineering of the School of Electrical, Mechanical and Infrastructure Engineering of University of Melbourne, an honorary Professor of Australian National University (ANU) and an honorary Member of ANU Energy Change Institute. He was previously the Director/Head of Research School of Engineering of Australian National University (2016-18), Professor, Associate Dean International , Associate Professor and Reader and Senior Lecturer at University of Melbourne (1997-2016). He graduated with Dipl.-Ing and PhD degrees in Data Engineering (“Datentechnik”) from Technical University of Darmstadt, Germany and B.Sc. Engineering from University of Moratuwa, Sri Lanka. He is an Associate Editor of BMC Bioinformatics, IEEE Transactions on Circuits and Systems II and Applied Mathematics (Hindawi). His research that led to 260 publications has been funded over the last 22 years by Australian Research Council (16 grants), National Health and Medical Research Council (2 grants), industry and other external organisations (13 grants or contracts) and funding to support stipends for about 50 PhD students. His research contributions are in AI and Data engineering, which includes Data Analytics based on Unsupervised and Near Unsupervised Learning and Optimization focusing on applications in Mechatronics, Energy, Biology and Medicine. His publication profile is at

Special Session

Special session proposals are invited to the IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES 2018). The goal of these special sessions is to provide a platform for focused discussions on specific topics and innovative applications.

All special sessions proposals should be submitted by *May 15 th , 2018* to the Special Sessions Chairs:

  • Aamir Saeed Malik (Universiti Teknologi PETRONAS) -
  • Ibrahima Faye (Universiti Teknologi PETRONAS) –


  • Special session proposals should include the title, aim and scope (including a list of main topics), and the names of the organizers of the special session.
  • At least one of the special session organizers should attend and chair the special session.
  • At least 6 papers are required for a special session. For one registration, two papers could be presented.
  • All the submitted special sessions will be assessed by the organizing committee and a feedback will be provided within a week. Proposals of similar topics will be suggested to merge.

Deep Learning for Biomedical Applications

Organized by Fabrice Meriaudeau (University Teknologi PETRONAS, Malaysia), Ibrahima Faye (Universiti Teknologi PETRONAS, Malaysia)

In the past few years, several application areas have been transformed by the successful use of deep learning technology. The stupendous improvements in accuracy and robustness over conventional approaches have motivated many researchers to work on deep learning applications. In Biomedical research area, several deep learning architectures have been used in various applications: computer aided detection, mammogram image classification, lung disease classification, hemorrhages detection on fundus images, brain image segmentation, cerebral microbleeds, cytology, Alzheimer Disease detection diagnosis of autoimmune disease etc.

This special session is jointly organized by the Engineering in medicine and biology society (EMBS) and the computational intelligence society (CIS). It aims to gather researchers in computational intelligence and in engineering in medicine and biology around the implementation of deep learning techniques in Biomedical applications. New algorithms, frameworks, models, architecture for biomedical applications are welcome, as well as experimental implementations of deep learning that bring new insight.

The topics of the special session include, but are not limited to:

  • Deep learning applications for medical images
  • Deep learning applications for biomedical signals
  • Classification of medical images using deep learning techniques
  • Medical image segmentation using deep learning techniques
  • Deep learning applications for biological data
  • Interpretability properties of deep learning models
  • Deep models for inspection of biomedical data
  • Transfer learning for Biomedical applications
  • Comparison of deep learning models on biomedical datasets

Techno-tools for children with Autism and other Learning Disabilities

Organized by Uvais Qidwai (Qatar University)

Autism is a disorder of neural development characterized by impaired social interaction and communication, and by restricted and repetitive behavior. Autism cannot be detected at the natal or early stage of development and, unlike other diseases; the symptoms vary from child to child. Similarly, many other disorders continue to challenge an individual and his/her families with respect to difficulties in learning, speaking, understanding, and several other usually ‘simpler’ tasks. Their neurological processing orientations are differently localized in their brains, which seems very alienated to the norms of learning and understanding in existing academic and social systems.

However, the fact that kids are kids is also applicable to them. They like to play with toys, want to have fun in their own ways, and to explore and understand the complicated world around them. Technology has been shown to have a very large impact in assisting such children achieve their objectives and improve their quality of life in the world. This special session is directed towards presenting the use of technology in assisting the learning process for children with Autism and other Learning disabilities such as dyslexia, dyspraxia, dysgraphia, dyscalculia, etc.

The topics of the special session include, but are not limited to:

  • Robotic toys for children with Autism or other learning disabilities
  • Wearable devices for children with Autism or other learning disabilities
  • Computer Games for children with Autism or other learning disabilities
  • Assistive devices for children with Autism or other learning disabilities
  • Virtual reality based systems for children with Autism or other learning disabilities
  • Quantification methods for technology evaluation applied to solutions designed for children with Autism or other learning disabilities.
  • Hybrid Intelligence development in technology solutions for children with Autism or other learning disabilities
  • Behavior based models and systems for assisting learning and education for children with Autism or other learning disabilities

Computational and Biosignal Intelligences for Healthcare Assistance (CBIH 2018)

Organized by Md. Khayrul Bashar (Ochanomizu University, Japan)

This special session is considered as a forum to discuss about brain and cardiovascular diseases and disorders and the role of biosignals in measuring their signatures, finding machine intelligence and mathematical-based solutions for their prevention and control, and the exploration of the potential of biosignals for biometric identification as well as the syntactical processing of brain regions.

Any submission whose content is relevant to the area of biosignal processing, analysis and event prediction will be considered, but the submission whose subject matter is related to one of the topics listed below will be particularly welcome. Practically-oriented approaches will also be appreciated.

  • Heart and Brain Signal Preprocessing and Processing Techniques
  • Computation Methods for Events Prediction from Biosignals
  • Statistical Analysis of Brain/Heart Diseases
  • Biometrics Using Biosignals
  • Syntactical Processing in Human Brain
  • Brain Source Estimation
  • Brain Network Analysis
  • Heart/brain abnormality analysis
  • New Software Applications or Tools for Diagnosis Assistance and Treatment Management


In conjunction with the IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES 2018), workshop proposals are invited. The workshop program aims to enrich the conference with events focused on relevant areas of biomedical engineering. For participants, a workshop should be a great opportunity for in depth knowledge in a specific topic. The workshop organizers could be industrials, practitioners or researchers.

All workshop proposals should be submitted by *May 15 th , 2018* to:

  • Aamir Saeed Malik (Universiti Teknologi PETRONAS) -
  • Ibrahima Faye (Universiti Teknologi PETRONAS) –


  • Title of the workshop;
  • Name and contact information of the proposer(s);
  • Length of the workshop (full or half day);
  • A statement of the goals and motivation for the workshop;
  • An outline of the workshop (scope and topics)
  • Requirements for the workshop (e.g. laptops, MATLAB etc.):
  • A short description on target audience;
  • A short biography of the speakers.

A minimum of 15 participants is required for each workshop.

Medical Data Cybersecurity
Lee Han Ther
Han Ther is currently serving as a Digital Security Advisor with a multinational digital advertising company. Prior to this, he was with Hewlett Packard Enterprise as their Cyber Security Principal for South East Asia (SEA). He led strategic engagements with C- level executives, business and technology leaders to build sound awareness of Cyber security risk and resilience. He has more than 14 years of experience in Information Security, IT Risk Management and IT auditing with fair amount of international exposure in Asia. In addition to that, he is one of the past board of director for the Information System, Audit and Controls association (ISACA Malaysia chapter). He sits as a panel trainer for both ISACA and Institute of Internal Audit Malaysia (IIAM). Han Ther is also one of the few security professionals whom is HRDF Train the Trainer (TTT) certified. He graduates from Monash University, Australia with a Bachelors in IT and an MBA from Edinburgh Business School, Heriot-Watt University.

Model-based and engineering in clinical trial: From Lab Bench to Hospital Bedside
Dr. Chiew Yeong Shiong
Dr. Chiew graduated from Universiti Teknologi Malaysia, with a Bachelor of Engineering Mechanical-Automotive and a Masters of Engineering in Mechanical Engineering. He obtained his PhD at the University of Canterbury (UC), New Zealand investigating into model-based mechanical ventilation for patients with respiratory failure. After graduation, he works as a postdoctoral fellow at Centre for Bioengineering at UC, in a range of research including leadership of a large randomized controlled trial. He is currently a lecturer in Monash University Malaysia, pioneering model-based clinical mechanical ventilation trial in a local hospital as well as hospital in Singapore. His work spans from the development of physiological models, model development, algorithm and system identification methods, and the creation of unique clinical decision metrics, to conducting clinical and animal trials. This workshop focuses on the journey taking a conceptual model and model-based engineering approach from idea, through clinical proof of concept, and to a large randomized controlled trial – covering both the tangible and intangible success and roadblocks. This workshop will provide a generalizable guide for implementation of model-based or biomedical engineering methods in the clinical environment.

IECBES Lights up Borneo
IEEE-EMBS Curtin University Malaysia Student Chapter
The IEEE-EMBS Curtin University Malaysia Student Chapter has been very successful in their community engagement projects. Among the projects which has received the most commendations is the Light Of Borneo Project. In this project, the student club builds their own cost efficient low cost lamps and hand deliver them to the remote villages in Sarawak. There are still many villages in Sarawak and Borneo that are not yet connected to the main power grid - this gift of light brings a great source of joy and encouragement to these villages. The student club has been running this program since 2016. This year, we would like to share this experience with 30 workshop delegates.

qEEG as diagnostic tool and Therapeutics Protocol for Brain Training (one day)
Assoc. Prof. Dr. Norsiah Fauzan, Faculty of Cognitive Science and Human Development, Universiti Malaysia Sarawak
To promote the application of non-invasive tools such as qEEG for diagnosis and development of Protocol for training and intervention.
  • Basic Concept of qEEG
  • Neuronal basics of brain rhythm generation
  • Montaging
  • Methods of EEG recording
  • Artifact correction
  • Distinguishing pathological EEG patterns (visual inspection and automated tools)
  • Brainmapping- Hands on
  • Discussion on brain wave patterns for Neurological /cognitive disorders
  • EEG Analysis
  • Constructing neurotherapy protocols