Manfred Glesner (Professor Dr. Dr. h. c. mult.)

Head of the Microelectronic Systems Research Group at TUD

Topics: Embedded Systems Design for Smart System Integration

Smart or intelligent system is a new technology term that will be found in many applications in our daily life and industries in the future for examples in energy management, medical applications and healthcare management, industrial automation and automotive. Based on its technological term, smart systems should have capabilities to solve very complex problems, including taking over human cognitive functions.

Due to the exponential increase of world energy demand, in which between 2010 and 2030 is estimated to be 45%, energy management will be one of the most urgent topics of the century and a significant driver for the evolution of semiconductors and electronics products. The important issues in the energy management are efficiency and reliability. Those requirements initiate the movement of power technology trend from traditional into smart grids concept. Cybersecurity and control systems for instance will be important topics for future smart grid systems.

In medical applications and healthcare management, smart products are mainly dedicated to improve the quality of health treatments and rehabilitations. The key components of the products are sensors (biomedical sensors). They should be miniaturized, which is enabled by using Micro-Electro-Mechanical System (MEMS) technology, in order to minimize the physical effect on the biologic system. The key factor of the smart systems is new inventions in the fields of nanotechnology, advanced materials, biotechnology, photonic technology and nanoelectronics. The innovation of efficient computing algorithms should be a challenging issue to implement the nanoelectronic products. The integration of the nanoelectronic products into smart systems should consider both arts and cost aspect. Therefore, the miniaturization of smart products, which is affected by efficient computing algorithms and nano-scale technologies, will be an interesting feature for end-users on market.

Prof. Manfred Glesner  Biography

Manfred Glesner (Professor Dr. Dr. h. c. mult.) is head of the Microelectronic Systems Research Group at TUD since 1990. His research activities are in the areas of embedded systems design, high-level synthesis and physical design, especially for deep submicron technologies, printed electronics and intelligent signal processing. He has organized national and international conferences and is a member of the programme committees of several conferences and workshops. He is a consultant to industry, government and research agencies and serves as a member of university boards. Since 2000 he is a Fellow of IEEE. He holds four Honorary Doctoral Degrees from international universities. He has been awarded several orders of merit by countries like France, Estonia and Mongolia.

Michael C.K. Khoo,

PhD, Biomedical Engineering Dept.,

University of Southern California, Los Angeles. CA

Topic:

Developing model-based biophysical markers for autonomic and

metabolic dysfunction in sleep apnea and obesity

Abstract:

Diet, physical activity, glucose-insulin control and autonomic activity are tied together in a delicate balance that, if disrupted, can lead to obesity and obesity-related disorders. Sleep apnea, which is highly prevalent in obesity, can also contribute independently to autonomic imbalance and insulin resistance. Recent studies suggest that the vicious cycle of interplay among these factors predisposes to the emergence of “metabolic syndrome”, a convergence clustering of obesity, hypertension, insulin resistance and dyslipidemia that is appearing in epidemic proportions globally. The components of metabolic syndrome individually or collectively constitute high-risk factors for cardiovascular disease and Type 2 diabetes. In this seminar, Dr. Khoo will present an overview of the experimental and modeling studies in his laboratory that are aimed at elucidating and quantifying the relationships among autonomic dysfunction, insulin resistance and severity of sleep apnea in overweight subjects. These studies employ a “minimal modeling” approach to extract information characterizing autonomic function from noninvasive cardiorespiratory measurements, along with blood sampling to assess glucose-insulin regulation. In parallel, Dr. Khoo’s group is also exploring the potential mechanisms that lead to the development of metabolic syndrome by developing a large-scale simulation model that incorporates cardiorespiratory , sleep and metabolic control, as well as the interactions among these systems. The association between metabolic and autonomic dysfunction suggests the possibility of using low-cost noninvasively derived autonomic indices as a means for early detection of abnormal glucose metabolism.

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Dr. Michael Khoo Autobiography

Dr. Michael Khoo is Professor of Biomedical Engineering and Pediatrics at the University of Southern California. He earned his undergraduate degree in mechanical engineering at the Imperial College of Science and Technology, University of London. He obtained his MS and PhD degrees in bioengineering from Harvard University. Following a couple of years of postdoctoral work, he joined the faculty of the University of Southern California. He has served as Department Chair of Biomedical Engineering and Co-Director of Education and Outreach for the USC Biomimetic Microelectronic Systems Engineering Research Center. Dr. Khoo is a Fellow of the Biomedical Engineering Society, the American Institute of Medical and Biological Engineering and IEEE, as well as a member of the American Physiological Society, Sleep Research Society, American Heart Association, and the American Society for Engineering Education. He was a member of the IEEE Engineering in Medicine and Biology Society (EMBS) Administrative Committee and Chair of the 2012 EMBS International Conference. He is currently Vice-President for Conferences of the EMBS. He has been the recipient of an NIH Research Career Development Award and an American Lung Association Career Development Award. Dr. Khoo’s research focuses on elucidating the underlying mechanisms that lead to unstable breathing and variability in heart rate and blood pressure during sleep, and how these factors may be related to the development of diabetes and cardiovascular disease, particularly in obese children. His laboratory is also working on the development of improved noninvasive methodologies for predicting vaso-occlusive crises in patients with sickle-cell disease. He is the author of the biomedical engineering textbook: Physiological Control Systems: Analysis, Simulation and Estimation (Piscataway, NJ: Wiley-IEEE Press, 2000).

Details

Created on Wednesday, 11 November 2015 10:02

Shin’ichiro Kanoh, Ph.D (Engineering)

Department of Electronic Engineering,

College of Engineering,

Shibaura Institute of Technology, Tokyo, Japan

Topic: Bridging brain and daily life: brain-computer interface and beyond.

Abstract

The mental states or intentions in humans can be decoded from the biosignals. The recent improvements of the computational power and downsizing of the personal computers enable to bridge brain and daily life in a noninvasive way.
A brain-computer interface (BCI) is a non-muscular communication channel which allows physically disabled people to re-establish interaction with their surrounding environment. This system could extract and detect user’s intentions or “thoughts” from brain activities which are measured by EEG (electroencephalogram) or NIRS (near-infrared spectroscopy) or other non-invasive techniques. We developed the BCI system to detect user’s motor imagery from brain activations on sensory-motor cortex, and it was shown that online neuro-feedback training (training with a feedback of brain activities) contributed the improvement of command detection accuracy. We also proposed BCIs to detect user’s selective attention to the sensory (auditory, visual) stimuli from elicited ERP (event-related potential). Moreover our study suggested the possibility of an EEG-based BCI system which was directly controlled by user's mental expectation, without requesting users to execute explicit tasks.
It is also possible to detect user’s mental states from eye movements. To enable detection of mental and physical states of users in a daily life, we have been developing an eyewear (“JINS MEME”) to measure eye and body movement in an unrestricted way. The horizontal and vertical EOG (electrooculogram) signals are measured and amplified with three metal dry electrodes placed near nasion and both sides of rhinion, of which positions correspond to the bridge and nose pads of eyewear, respectively. The user’s mental states like drowsiness, sleepiness, mental fatigue, or interest to objects can be identified by the movements and blinking of the eyes extracted from the measured EOG. And the six-axis motion sensor (three-axis accelerometer and three-axis gyroscope) mounted in the eyewear measures the body motions. This device enables you to look into “yourself” as well as outer scenes. In this presentation, our recent studies on interfacing between brain and daily life are introduced and discussed.

Prof. Dr. Pairash Thajchayapong

Topic: Science and Technology under HRH Princess Maha Chakri Sirindhorn’s Initiatives(with emphasis on biomedical engineering)

Abstract

Her Royal Highness Princess Maha Chakri Sirindhorn was born in Bangkok on the second of April, 1955 as a daughter of Their Majesties King Bhumibol Adulyadej and Queen Sirikit of Thailand. Apart from her excellent background education in history, language and education development, HRH has been interested in science and technology subjects, particularly for the well being and benefit of Thai citizens.
Through the IT Project under HRH Princess Maha Chakri Sirindhorn’s Initiatives, HRH has used information technology to alleviate the underprivileged such as school students in remote areas, people with disability, chronic young patients in hospitals, inmates and youth rehabilitation.
HRH also has keen interest in promoting biomedical engineering. To promote local activities in biomedical engineering R&D, the Thai BME Consortium under HRH’s Initiatives was formed in 2005/2006 consisting of 7 leading universities/institutes as members and has now increased to 13 universities/institutes. HRH also initiates the Thai-Singapore collaboration project on persons with disabilities known as the “i-CREATe” which aims to be a platform for assistive and rehabilitation technologies in ASEAN countries.
Success in both the local Thai BME and the regional i-CREATe under HRH’s initiatives are shown by achievements of research, development and innovation in international publications, laboratory prototypes and industrial products. Examples will be explained in the presentation.

Prof. Dr. Pairash Thajchayapong Autobiography  

Prof. Dr. Pairash Thajchayapong Senior Advisor and Specialist, the National Science and Technology Development Agency (NSTDA), Thailand Dr. Pairash Thajchayapong is currently Senior Advisor at the National Science and Technology Development Agency (NSTDA), Ministry of Science and Technology, Thailand. He currently serves as Chairman of Assistive Technology Research Grant Sub-Committee at NSTDA. The topics of research grants are for example prostheses, speech assessment, fall detection, hearing aids, etc. His own research interest is in medical image processing with emphasis on computerized x-ray scanner for local applications. His former positions are, for example, Permanent Secretary of Ministry of Science and Technology, President of King Mongkut’s Institute of Technology Ladkrabang, President of NSTDA. g He received his Bachelor Degree from Imperial College , University of London, PhD from Cambridge University, UK.