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).

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


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.