Keynote Speakers

Uwe D. Hanebeck is a chaired professor of Computer Science at the Karlsruhe Institute of Technology (KIT) in Germany and director of the Intelligent Sensor-Actuator-Systems Laboratory (ISAS). Since 2005, he is the chairman of the Research Training Group RTG 1194 "Self-Organizing Sensor-Actuator-Networks" financed by the German Research Foundation.

Prof. Hanebeck obtained his Ph.D. degree in 1997 and his habilitation degree in 2003, both in Electrical Engineering from the Technical University in Munich, Germany. His research interests are in the areas of information fusion, nonlinear state estimation, stochastic modeling, system identification, and control with a strong emphasis on theory-driven approaches based on stochastic system theory and uncertainty models. Research results are applied to various application topics like localization, human-robot-interaction, assistive systems, sensor-actuator-networks, medical engineering, distributed measuring systems, and extended range telepresence.

Uwe D. Hanebeck was the General Chair of the "2006 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2006)", Program Co-Chair of the "11th International Conference on Information Fusion (Fusion 2008)", Program Co-Chair of the "2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2008)", Regional Program Co-Chair for Europe for the "2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010)", and will be General Chair of the "19th International Conference on Information Fusion (Fusion 2016)". He is a Member of the Board of Directors of the International Society of Information Fusion (ISIF), Editor-in-chief of its Journal of Advances in Information Fusion (JAIF), and associate editor for the letter category of the IEEE Transactions on Aerospace and Electronic Systems (TAES). He is author and coauthor of more than 350 publications in various high-ranking journals and conferences.  

Several hot topics of high practical relevance in the context of recursive estimation of states and parameters based on data from multiple sensors will be discussed.

First, new types of nonlinear Kalman filters based on optimal deterministic sampling approximations of continuous density functions are shown. These filters provide an adjustable tradeoff between estimation quality and computational complexity. They also allow the optimal estimation of periodic quantities, such as angles or orientations.

Second, the direct fusion of two estimates characterized by data points only is discussed. This is a practically relevant problem, as often no further knowledge about the estimates is available. It arises, e.g., when fusing the output of two particle filters.

Third, when tracking multiple objects with high-resolution sensors, the problem of associating sensor data with objects and object parts arises. In this talk, I will argue for association-free methods that never explicitly associate sensor data with objects and provide high-quality estimates with a low computational complexity.

All methods are based on a new distance measure between probability density functions. This distance can handle a comparison between arbitrary continuous and discrete densities, in particular between empirical distributions. It can efficiently be computed and is continuously differentiable, which makes it useful for optimization purposes.

Some application examples such as object tracking for belt sorting of bulk material, person tracking in extended range telepresence systems, and surface reconstruction in beating heart surgery will be shown.

Andrew Cleland is the John A. Maclean Sr. Professor for Quantum Engineering Innovation, and is a member of the Institute of Molecular Engineering at the University of Chicago. He is also the Director of the Pritzker Nanofabrication Facility, on the University of Chicago campus.

His research focus is on the developing of superconducting quantum circuit; nanoscale devices integrating electronic, mechanical and optical fields, while operating at the quantum limit; and microfluidic technology for practical applications, with a focus on high-throughput nanoparticle analysis.  To date, his accomplishments have included the first demonstration of a mechanical system cooled to its quantum ground state; the demonstration of a high fidelity, scalable superconducting quantum bit that should allow construction of a simple, error-correcting quantum circuit; and the development of an electrooptomechanical system operating in the microwave and optical frequency domains.

Cleland is the author or co-author of over 120 peer-reviewed publications.  He is a Fellow of the American Association for the Advancement of Science and a Fellow of the American Physical Society.  His work was recognized as the Science “Breakthrough of the Year” for 2010, and selected as one of the “Top Ten Discoveries in Physics” by the Institute of Physics (United Kingdom) in both 2010 and 2011.

He earned a BS in engineering physics and a PhD in physics from the University of California, Berkeley.  Prior to joining the University of Chicago, Cleland was a professor of physics at the University of California, Santa Barbara, and served as the Associate Director of its California Nanosystems Institute.

There has been much progress recently in developing mechanical devices that can be operated in the quantum limit. This effort has combined geometric designs with materials research, as well most significantly the development of methods to cool mechanical systems to the quantum ground state and then perform measurements that are not too invasive.  I will describe our approach, in which we succeeded in both cooling a mechanical mode to the ground state, using conventional refrigeration techniques, and then injecting and measuring single phonons, the quanta of acoustic vibrations. This was achieved by coupling a microwave frequency superconducting quantum bit to a microwave frequency mechanical resonator.

 

More recently, we have begun developing analogous technology to attempt to build elements for a quantum repeater, a device that will be central for applications to quantum communication. This device relies on a parametric conversion of signals between microwave and optical frequencies, is coupled to a fiber optic for transmission of quantum (or classical) information, and ultimately would be coupled to a microwave frequency quantum bit, either based on superconducting or semiconducting quantum technology. I will include a brief description of this approach and a description of its status.

Suntae Jung has finished his Ph.D of Material science in Seoul National University at 1995, following M.S. and B.S. in the same university at 1988 and 1990. Between 1995 and 1996 he had been a researcher in UIUC Beckman institute. He has joined Samsung electronics at 1996 and developed for Optical Communication Device such as AWG(Arrayed Wave Guide) Multiplexer and De-multiplexer for  WDM(Wavelength Division Multiplexing) until 2004. From 2005, he had led to development of Waveguide Keypad, Flexible Display Keypad, Pen Touch for innovative smartphone input technologies and Mobile Health Sensor including mobile ECG, Stress Index, PPG and accelerometer applications. Such innovations gave him honors of National IR52(Industrial Research) at 2009 and 2012.

Currently, he has interested in Mobile Healthcare and IoT Sensing. He leads development of Healthcare technologies in Prevention, Medical Treatment and Prognosis Management based on IT and IoT sensing technologies

An aging population and a continually increasing number of chronic disease patients has caused a focal shift in healthcare from therapy and treatment to prevention and management. The upcoming Healthcare System brings more connectivity between consumers and hospitals by enabling the medical staff to check the health status of a patient outside of the hospital without disturbing their daily life. In addition, doctors and nurses can communicate with their patients remotely and more frequently for preventative health measures. It may also reduce time to recover from disease by intelligent analysis of collected data. Sensors are widely adopted and researched in the field of healthcare and environmental monitoring with applications for wearable devices, smart phones, and home monitoring systems . This includes analysis of vital signs, POC (point of care), and images, ultimately reaching towards innovative non-intentional, non-invasive, and complex measurement technologies. We are expecting sensors to take an essential role in the upcoming healthcare era, and intensive effort should be focused in the research.