Alexander S. Sigov, Ph. D. Professor, President, MIREA-Russian Technological University, Russia Academician, Russian Academy of Sciences
Title: Ferroelectric Structures as Perspective Components of Microelectronic Devices: Specific Features
Abstract: In recent decades, microelectronics has been actively developing by reducing the topological dimensions and searching for, creating, and using new materials with new physical properties. In most cases, ferroelectrics and other functional dielectrics, like piezoelectrics, pyroelectrics, multiferroics etc., act in the form of thin films as main components of various types of heterostructures integrated to different microelectronic chips. With the current trend of decreasing film thicknesses and increasing degree of chips integration, physical phenomena at the interfaces between the layers of the heterostructures play an increasingly important role. For example, even in a very simple case of ferroelectric material in metal-ferroelectric-metal structures, the ferroelectric film thickness has a profound impact on their dielectric and ferroelectric properties due to numerous possible reasons, including lattice distortions, point defects, dislocations, etc., and so-called “dead layers”. In the present talk the attention is paid just to the “dead layer”, i. e. a thin non-ferroelectric layer inside the ferroelectric film near its surface. As a rule, the thickness effects are studied by comparison of capacitance of samples with different ferroelectric film thickness. The measurements may be provided in different ways and the results obtained are different as well. We propose a dead layer estimation technique based on the dielectric portraits analysis. The key feature of the proposed technique is the use of polarization values at the tips of the hysteresis loops that exclude an error caused by leakage and relaxation losses in ferroelectric films. This method was used for dead layer analysis of dense and porous ferroelectric films with different thickness. For comparison, the dead layer thickness was estimated from the dielectric permittivity versus thickness dependence obtained from high frequency small-signal measurements, and also from slopes of the hysteresis loops at the coercive field. An equivalent circuit model is proposed to describe effect of conductivity in ferroelectric structure with the dead layer.
Biography: Alexander Sigov is the President of MIREA–Russian Technological University, Moscow, Russia, Doctor of Physics, and Member of the Russian Academy of Sciences. Professor Sigov (born 1945) is an expert in Solid State Physics and Electronics. He contributed extensively to the phenomenology of magnets, ferroelectrics and multiferroics, physics of ferroic-based heterostructures, thin films, etc. The results of his scientific activity are reflected in more than 300 papers, reviews, book chapters, 19 monographs and textbooks, including the well-known “Defects and Structural Phase Transitions” together with A. Levanyuk. For many years he chairs the Department of Nanoelectronics in MIREA. He created his own school, inspiring and mentoring many talented scientists. In 2006 he was elected a Member of the Russian Academy of Sciences. He is the head of the Russian Academy Council on Dielectrics and Ferroelectrics, member of numerous scientific societies, Associate Editor of Ferroelectrics and Integrated Ferroelectrics, Editor and member of Boards of more than ten Russian national journals, Chair of the Council on Physics and Astronomy of the Russian Foundation for Basic Research.
Hairong Zheng, Ph. D. Professor, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China
Title: Real time Magnetic resonance imaging guided ultrasound neuromodulation and brain surgery
Abstract: Neuromodulation is one of the fundamental tools for neuroscience to explore neural activities from molecular to behavioral levels. Recently, ultrasound has proven to be an effective non-invasive neuromodulation tool. This cutting-edge method may also provide potential to serve as an alternative to treat a wide range of functional brain diseases.The most challenging issuefor ultrasound neuromodulation is how to visualize the stimulated position and steer the ultrasound beam to realize the precise brain stimulation. Recent studies have proven that magnetic resonance imaging can play important roles in the guidance of ultrasound neuromodulation. In the presentation, MR guided ultrasound neuromodulation techniques are reviewed, including the focus localization and visualization by MR acoustic radiation force imaging, focus steering, temperature monitoring by MR thermometry, brain activity monitoring and assessment by functional MRI. The principles of these techniques are briefly introduced, and some preliminary results in our group are shown. Our functional MRI study demonstrated that ultrasound stimulation on the primary visual cortex of Rhesus monkey evoked activation in the target area and regions associated wih the visual network, indicating that ultrasound stimulation is capable of exciting neuronal activities and transmitting the effect to related functional regions. It is anticipated that MRI is a promising and powerful imaging modality for safe and accurate ultrasound neuromodulation.
Biography: Hairong Zheng is a Professor and vice president of Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences. Dr. Zheng’s research areas focus on multi-functional biomedical ultrasound and multimodality medical imaging systems. He received his B.S. Degree from Harbin Institute of Technology in 2000 and a Ph.D. degree in Mechanical Engineering, from the University of Colorado at Boulder in 2006. He joined the University of California Davis first as a postdoctoral fellow, and then as a project scientist in the Biomedical Engineering Department, before his joining SIAT by the end of 2007. Dr. Zheng has published more than 160 peer-reviewed papers and owned more than 110 patents, some of which have been translated to commercial products. Dr. Zheng was a recipient of the TanKah Kee Young Scientist Award of China (2014), and National Outstanding Young Scientist Award of China (2013). He is the principal investigator of China 973 plan, a special fund of Scientific Instruments of NSFC, et al. Dr. Zheng is an Associate Editor of IEEE Transactions on UFFC, editorial board member of Ultrasound in Medicine and Biology, and the chairman of IEEE EMBS Shenzhen Chapter.
George Chiu, Ph. D. Professor, Purdue University, USA
Title: Monitoring and Control of Digital Printing and Imaging Systems
Abstract: Digital printing and imaging systems are well-recognized mechatronics devices. They are an integral part of our daily life. Although the traditional print media has been in decline, recent interest in using printing as a scalable fabrication/manufacturing process has renewed the interest in functional printing as an additive manufacturing process. In addition to deposit precisely controlled amount of material with the necessary spatial accuracy, interaction between the material and the substrate as well as the material with themselves all contribute to the geometry, functionality and quality of the final product, be it an image, device or structure. In this talk, I will present our experiences in applying mechatronic techniques to monitor and control different digital printing and imaging processes as well as share some insights gained when translating these approaches to other applications with similar implementation and real-world constraints.
Biography: George Chiu is the Assistant Dean for Global Engineering Programs and Partnerships at the College of Engineering and a Professor in the School of Mechanical Engineering with courtesy appointments in the School of Electrical and Computer Engineering and the Department of Psychological Sciences at Purdue University. He received the B.S. degree in Mechanical Engineering from National Taiwan University in 1985 and the M.S. and Ph.D. degrees from the University of California at Berkeley, in 1990 and 1994, respectively. Before joining Purdue in 1996, he worked for the Hewlett-Packard Company, designing inkjet printer and multi-function devices. From 2011 to 2014, he served as the Program Director for the Control Systems Program in the Engineering Directorate of the US National Science Foundation. Dr. Chiu's current research interests are mechatronics and dynamic systems and control with applications to digital printing and imaging systems, digital fabrications, human motor control and robotics, motion and vibration perception and control. He received the 2012 NSF Director’s Collaboration Award, the 2010 IEEE Transactions on Control System Technology Outstanding Paper Award and the Purdue University College of Engineering 2010 Faculty Engagement/Service Excellence Award and 2006 Team Excellence Award. Dr. Chiu is the Editor-in-Chief for the IEEE/ASME Transactions on Mechatronics. He served on the Executive Committee of the ASME Dynamical Systems and Control Division from 2007 to 2015 and was the Chair of the division from 2013 to 2014. He is a Fellow of ASME and the Society for Imaging Science and Technology (IS&T) and a senior member of IEEE.
Kai Xu, Ph. D. Professor, Shanghai Jiao Tong University, China
Title: Towards a General Robotic Surgical Platform for Multi and Single Port Laparoscopy
Abstract: Robot-assisted laparoscopic Minimally Invasive Surgery has gained substantial attentions due to its distal dexterity, high precision and intuitive eye-hand coordination. In these procedures, stick-like surgical tools with distal wrists are usually manipulated by several patient-side manipulators. These patient-side manipulators shall realize Remote-Center-of-Motion movements and are subject to risks of mutual collisions. On the other hand, continuum surgical manipulators, often with multiple segments, usually have several DoFs (Degrees of Freedom) for the movements in a patient’s cavity, and only need a lockable bedside stand, rather than a manipulator. This talk will present the efforts to design and implement a modular robotic surgical platform for multi and single port laparoscopy. Kinematics design, configuration transition control and system integration will be introduced. Mockup simulation and preliminary animal experiments will be reported, demonstrating the effectiveness of the system.
Biography: Kai Xu, received a B.E. and an M.S. from the Department of Precision Instruments and Mechanology, Tsinghua University, Beijing, China, and a Ph.D. (with distinction) from the Department of Mechanical Engineering, Columbia University, New York, NY. He is now a full professor with the School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China, as the director of the Robotics Innovation and Intervention Laboratory. His research interests include surgical robots, prosthetic hands, flexible manipulators, special industrial robots and continuum mechanisms. Prof. Xu has served as a national expert of China for IEC/ISO JWG9 on medical robotic equipment and systems since 2012, and is currently an Associate Editor for IEEE T-RO. He was selected into the NCET program by Ministry of Education, China, in 2010, the Pujiang Scholar program and the Rising Star program by the Shanghai metropolitan government in 2011 and 2013, respectively, and received the National Science Fund for Excellent Young Scholars in 2017.
Yuqing He, Ph. D. Professor, Shenyang Institute of Automation, Chinese Academy of Sciences, China
Title: UxV Cooperation: Researches & Applications
Abstract: With the great development of robotics in recent years, many field robots (including UAV, UGV and UMV) have been expected to carry out tasks in outdoor surroundings for 3D (Dirty, Dangerous, and Dull) tasks, e.g. Antarctic Exploration, Disaster Rescue, Environmental Monitoring, etc., where the robots may suffer from complex terrains, dynamic obstacles/dangerous, and bad weather conditions. Most recently, Multiple Robot System (MRS) has attained great attentions in academia. However, few researches focus on the cooperation and coordination of cross-domain field UxV robots including UAV, UGV and UMV. In this talk, some researches and applicational scenarios we are conducting in SIA will be introduced. First, several typical examples are introduced to show how the UxV cooperation can improve the task efficiency. Then, researches on cooperative perception and coordinative control are given with the experimental and applicational results. Finally, I’d like to share some new researching topics about how to combine some new breakthroughs in AI and mobile robotics.
Biography: Yuqing He is currently a full professor at the State Key Laboratory of Robotics (SKLR) in Shenyang Institute of Automation (SIA), Chinese Academy of Sciences. He received his B.S. degree in engineering and automation from North-eastern University at Qinhuangdao in 2002 and Ph.D. degree in pattern recognition and intelligent system from SIA in 2008. In 2012, he was a visiting researcher at Institute for automatic control theory in Technique University of Dresden (Germany). He is now the director of the autonomous robots researching group in the SKLR, and the director of research center of intelligent UAV engineering and Technology of Liaoning Province. He is also the executive member of the Chinese Institute of Command and Control. His current research interests include optimization of control of robot systems, nonlinear estimation and control, guidance-navigation-control of mobile robot system, and cooperation & coordination of multiple-robot system. Besides the academic researches, he has also developed many applications oriented field robot systems including series rotary-wing UAVs, Antarctic exploration UGV, water exploration and rescue USV, etc.
Chuxiong Hu, Ph. D. Associate Professor, Tsinghua University, Beijing, China
Title: Advanced Motion Control of Mechatronic Systems with Practical Performance Orientation
Abstract: Advanced motion control is significant for modern mechatronic systems such as IC lithography tools, CNC machine tools and robots. To achieve practically excellent transient/steady-state control accuracy and certain robustness to parametric variation & disturbances, many researchers have devoted a lot of efforts with achievements of some methods like variable-gain control, iterative learning control, adaptive robust control, ZPETC, etc. However, the existing methods need complicated modeling process, or too sensitive to various uncertainty and trajectory variation. This presentation will introduce our efforts on intelligent advanced motion control of mechatronic systems with practical performance orientation. Especially, rather excellent transient/steady-state control accuracy even under the existence of various uncertainty and trajectory variation, are actually achieved. Experiments and applications on lithography tools, CNC machine tools and robots, are conducted and presented to show the achieved practical effectiveness.
Biography: Chuxiong Hu, Associate Professor and Ph.D. Advisor at Department of Mechanical Engineering, Tsinghua University, Beijing. He is an IEEE Senior Member and ASME Member. He was a visiting scholar at UC Berkeley and Purdue University. Dr. Hu concentrates on precision/intelligent mechatronic control for IC manufacture equipment, CNC machine tools and robots, with the research interests of mechatronics, precision motion control, robots, multi-axis coordinated motion, intelligent learning, adaptive control, iterative learning, neural networks, measurement self-calibration, etc. He has published nearly 100 papers with nearly 900 Web of Science citations, and owned 25 patents. Dr. Hu was a recipient of 2011 ACC Best Student Paper Finalist, 2012 ASME-DSCD Best Mechatronics Paper Award, 2013 Best Paper Finalist of IEEE Transaction on Mechatronics, 2013 National 100 Excellent Doctoral Dissertations Nomination Award of China, 2016 IEEE-ICIA Best Automation Paper Award, 2018 IEEE-ICIA Best AI Paper Award, and 2018 National Top-Notch Young Talent of China.