ECE 6900/7900 Graduate Seminar
Fall Semester 2014
Instructor: Prof. Gianluca Lazzi, firstname.lastname@example.org
Location: WEB 1250
Meeting Time: Mondays at 3:05-3:55 p.m. (with some occasional Fridays)
Teaching Assistant: THIS IS NOT THE CURRENT SEMESTER
This webpage is for a PAST SEMESTER
General Course Information and Requirements
- This is a credit/no credit class required of all MS/ME students. A student continuing for the Ph.D. degree must register for ECE 7900/7910 after having previously taken ECE 6900 and 6910 during their MS/ME program.
- A tentative Graduate Seminar Schedule for the beginning of Fall 2014 will be listed below once seminars are scheduled. Several of the seminars have yet to be announced. These slots will be filled in due course, and the speakers and topics of the seminars will be announced as the information becomes available.
- To receive credit for this class, a student must attend at least 70% of the seminars offered. Based on the current estimate of seminars that will be offered this semester (15), this translates into attending at least 11 seminars.
- Seminar attendance will be recorded. It is a student’s responsibility to bring their UCard to each seminar so the course TA can verify attendance. Students must stay for the duration of the seminar to get credit.
- The first graduate seminar of Fall Semester will be held on Monday, August 25th, 2014.
- Students are expected to turn in a well-written, 2-page minimum report on any seminars that they attended during the year. Students may compensate for 2 absences by turning in an additional report on the research of any single graduate seminar speaker. Reports should be turned in to the course TA before the last day of the semester and should be in the IEEE Magnetics Letters format laid out at the bottom of the following webpage:
“Macro Impacts with Micro Technologies: Toward Distributed Environmental Monitoring via Pervasive Electronics”
January 1st, 2015
“Macro Impacts with Micro Technologies: Toward Distributed Environmental Monitoring via Pervasive Electronics”By Dr. Hanseup Kim, USTAR Assistant Professor, Electrical & Computer Engineering Dept., University of Utah Monday, January 12, 2015 at 3:05 p.m. in WEB 1230 Abstract Numerous unknown physical and chemical phenomena can be precisely analyzed by highly-accurate electro-mechanical, chemical and biological transduction mechanisms in micro and nano scales, impacting broad contexts of human life. Air quality, an emerging societal issue, is known to cause the fatalities that are twice the number of automobile fatalities in US and that are equal to deaths from breast cancer and prostate cancer combined. Hundreds of scientific studies conducted worldwide have provided evidences that polluted air has alarming adverse effects on health. Clearly, the exposure to air pollution needs to be monitored for individuals. Traditionally air quality has been measured at the community-level relying on a limited number of fixed monitoring stations (e.g. only five stations in Philadelphia), failing to model individual risks. This can be best addressed by developing a miniaturized air-quality monitoring system in a portable and wearable form, which can be enabled by micro/nano technology. This talk discusses the challenges and recent milestones in miniaturizing a gas chromatography (GC)-based air quality monitoring system in order to enable personal-level evaluation of air quality. Specifically, this talk will discuss the scientific and engineering innovations in individual MEMS components of the integrated micro GC system. Such components include (1) micro actuators for efficient pumping of compressible gases, (2) a chemical separation technique exceeding the conventional state-of-art limit, and (3) a micro chemical sensor that is time-invariant. Future directions will be also discussed for personalized in-vitro analysis of the health impact of air pollutants by developing a “microGC to lab-on-chip” platform technology. Speaker Biography Dr. Hanseup Kim is a USTAR Assistant Professor of Electrical and Computer Engineering, Mechanical Engineering, and BioEngineering at the University of Utah. He received his BS degree in Electrical Engineering from Seoul National University in 1997, and his MS and Ph.D. degrees in Electrical Engineering from the University of Michigan in 2002 and 2006, respectively. Between 2006 and 2009, he was a post-doctoral research fellow at the Center for Wireless Integrated MicroSystems (WIMS) in the University of Michigan. His current research interests focus on the development of integrated micro/nano systems for environmental monitoring and healthcare research by combining micro/nanofabrication techniques, micro actuators, microfluidics for “compressible” gases, in-vitro cell culture models, and inertial/chemical sensors. Prof. Kim is a recipient of both the prestigious NSF CAREER Award in 2012 and the DARPA Young Faculty Award in 2011. He received the Best Paper Award with eight other co-authors from the International Conference on Commercialization of Micro and Nano Systems in 2008, the First Prize in the competition and the Best Paper Award with three other co-authors from the 38th International Design Automation Conference in 2001, and Rotary Club Ambassador Scholarship in 1999. He has actively served the MEMS community as a Technical P
"Implantable and Wearable Microelectronic Devices to Improve Quality of Life for People with Disabilities"
January 7th, 2015
"Implantable and Wearable Microelectronic Devices to Improve Quality of Life for People with Disabilities" Maysam Ghovanloo, Ph.D. GT-Bionics Lab, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA Monday, January 26, 2015 3:05 pm WEB 1230 Abstract Implantable microelectronic devices (IMD) and neuroprostheses are finding applications in new therapies thanks to advancements in microelectronics, microsensors, RF communications, and medicine, which have resulted in embedding more functions in IMDs that occupy smaller space and consume less power, while offering therapies for more complex diseases and disabilities. I will address how we are pushing the limits on developing key building blocks for state-of-the-art IMDs, particularly on the analog front-end, RF back-end, and power management. IMDs have been quite successful in neuroprosthetic devices, such as cochlear implants and deep brain stimulators. They are also being considered for brain-computer interfacing (BCI) to enable individuals with severe physical disabilities to control their environments, particularly by accessing computers. Implantable BCIs, however, are highly invasive and it is not clear whether end users would accept them in presence of less invasive alternatives. At the GT-Bionics lab, we pursue implantable BCIs as advanced tools for neuroscience research on small freely behaving animal subjects. An example of these applications is a smart cage, the EnerCage, which can wirelessly power, communicate with, and track electronics implanted in or attached to small freely behaving animals. At the same time, we are exploring novel minimally-invasive methods for individuals with severe paralysis to make the best use of their remaining abilities to control their environments. An example of such technologies is a wireless and wearable brain-tongue-computer interface (BTCI), also known as the Tongue Drive System (TDS), which enables individuals with tetraplegia to control their environments using their voluntary tongue motion. We are also working on wearable devices that help the elderly to comply with their prescribed medication regiments and notify the emergency unit in the event of a fall. Speaker Biography Maysam Ghovanloo received the B.S. degree in electrical engineering from the University of Tehran, and the M.S. degree in biomedical engineering from the Amirkabir University of Technology, Tehran, Iran in 1997. He also received the M.S. and Ph.D. degrees in electrical engineering from the University of Michigan, Ann Arbor, in 2003 and 2004. Dr. Ghovanloo developed the first modular Patient Care Monitoring System in Iran where he also founded Sabz-Negar Rayaneh Inc. to manufacture physiology and pharmacology research laboratory instruments. From 2004 to 2007 he was an assistant professor in the Department of ECE at the North Carolina State University, Raleigh, NC. Since 2007 he has been with the Georgia Tech School of Electrical and Computer Engineering, where he is an associate professor and the founding director of the GT-Bionics Lab. He has authored or coauthored more than 150 peer-reviewed conference and journal publications on implantable microelectronic devices, integrated circuits and micro-systems for IMD applications, and modern assistive technologies. Dr. Ghovanloo is an Associate Editor of the IEEE Transactions on Biomedical Engineering (2010-present) and IEEE Transactions on Biomedical Circuits and Systems (2011-present). He served as an Associate Editor of
January 16th, 2015
“High-Power Wind Energy Conversion Systems”Dr. Venkata Yaramasu, Post-Doctoral Research Fellow, Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada Friday, January 30, 2015 at 3:05 p.m. in WEB 1230 Abstract Wind energy conversion systems have experienced a tremendous growth in installed capacity, market penetration, and research and development activities over the past three decades, and as a result they have now became most successful renewable energy technologies competing with not only other nonconventional energy sources, but also with the conventional fossil fuel-based power generation units. This seminar provides a comprehensive review on the state-of-the-art and emerging wind energy technologies from the electrical engineering perspective. Speaker Biography Venkata Yaramasu received his B.Tech degree in electrical and electronics engineering from JNT University, Hyderabad, India, in 2005, an M.E. degree in electrical engineering with specialization in power electronics from S. G. S. Institute of Technology and Science, Indore, India, in 2008, and Ph.D. degree in electrical engineering from Ryerson University, Toronto, Canada, in 2014. He is currently a Postdoctoral Research Fellow at the Laboratory for Electric Drive Applications and Research (LEDAR) and Center for Urban Energy (CUE), Ryerson University. His research interests include renewable energy, high power converters, electric vehicles, power quality, and model predictive control. Dr. Yaramasu worked closely with Rockwell Automation, Toronto Hydro, Hydro One, Natural Sciences and Engineering Research Council of Canada (NSERC), Wind Energy Strategic Network (WESNet) and Connect Canada, and completed 8 industrial projects in Power Electronics, Electric Drives and Renewable Energy. He has published more than 30 peer-reviewed technical papers including 16 journal papers. He is currently authoring/coauthoring two books entitled “Model Predictive Control of Wind Energy Conversion Systems” and “Power Conversion and Control of Wind Energy Systems, Second Edition” for a possible publication with the Wiley-IEEE Press. He is recipient of Best Graduate Thesis Award, Three Best Poster Awards, Three Graduate Research Excellence Awards, Three Student Research Awards, Six Best Student Paper Awards and Two Teaching Related Awards.
February 3rd, 2015
“See the Forest and the Trees: Innovations in Cyber-Physical Systems” When: Monday, February 9, 2015 at 3:05 p.m. Where: Warnock Engineering Building (WEB) 1230 Abstract Novel concepts and detailed implementations are crucial for computer engineering research. Moreover, being able to step back and see the connections can lead to exciting and impactful discoveries. With the advancement of VLSI technology, more and more computing elements are closely integrated with the physical systems. Quite often research regarding these cyber-physical systems not only requires the knowledge of the computing systems, but also thorough understanding of the physical systems as well. In this talk, we will discuss exciting research topics from VLSI design to modeling of complex VLSI and physical systems, in which ground-breaking results are achieved by cross-disciplinary approaches. We will also discuss future research directions in this exciting era.
February 9th, 2015
Abstract Designers use third-party intellectual property (IP) cores and outsource various steps in their integrated circuit (IC) design and manufacturing flow. As a result, security vulnerabilities have been emerging, forcing IC designers and end-users to reevaluate their trust in ICs. If an attacker gets hold of an unprotected IC, attacks such as reverse engineering the IC and piracy are possible. Similarly, if an attacker gets hold of an unprotected design, insertion of malicious circuits in the design, and IP piracy are possible. To thwart these and similar attacks, we have developed three defenses: IC camouflaging, logic encryption, and split manufacturing. IC camouflaging modifies the layout of certain gates in the IC to deceive attackers into obtaining an incorrect netlist, thereby, preventing reverse engineering by a malicious user. Logic encryption implements a built-in locking mechanism on ICs to prevent reverse engineering and IP piracy by a malicious foundry and user. Split manufacturing splits the layout and manufactures different metal layers in two separate foundries to prevent reverse engineering and piracy by a malicious foundry. We then describe how these techniques are enhanced by using existing IC testing principles, thereby leading to trustworthy ICs. Bio: Jeyavijayan (JV) Rajendran is a PhD Candidate in the Electrical and Computer Engineering Department at New York University. His research interests include hardware security and emerging technologies. He has won three Student Paper Awards (ACM CCS 2013, IEEE DFTS 2013, IEEE VLSI Design 2012); four ACM Student Research Competition Awards (DAC 2012, ICCAD 2013, DAC 2014, and the Grand Finals 2013); Service Recognition Award from Intel; Third place at Kaspersky American Cup, 2011; and Myron M. Rosenthal Award for Best Academic Performance in M.S. from NYU, 2011. He organizes the annual Embedded Security Challenge, a red-team/blue-team hardware security competition. He is a student member of IEEE and ACM.
February 9th, 2015
Friday, February 20 at 3:05 pm in WEB 1230 Chung-Wei Lin is currently a Ph.D. candidate in the Department of Electrical Engineering and Computer Sciences, University of California, Berkeley. Abstract: Security is a rising issue for cyber-physical systems, and there are many challenges of applying security mechanisms to cyber-physical systems, such as limited resources, strict timing requirements, and large number of distributed devices. These challenges make it very difficult and sometimes impossible to add security mechanisms after initial design stages. This seminar will present systematic approaches to address security with other design constraints for Controller Area Network (CAN) based and Time Division Multiple Access (TDMA) based real-time distributed systems. Experimental results demonstrate the effectiveness of the approaches in system design and optimization. Biography: Chung-Wei Lin received the B.S. degree in computer science and the M.S. degree in electronics engineering from the National Taiwan University. He is currently a Ph.D. candidate in the Department of Electrical Engineering and Computer Sciences, University of California, Berkeley. He will graduate this summer under the supervision of Professor Alberto Sangiovanni-Vincentelli. His research includes design and analysis of cyber-physical systems, security of cyber-physical systems, and computer-aided design of integrated circuits. He has published 23 papers (first author on 17 of them) in journals and conferences, and most of them are in IEEE transactions and top conferences such as DAC, RTAS, and ICCAD. He also won one best paper award and three best paper nominees. He worked with the Multiscale Systems Center (MuSyC), General Motors, Taiwan Semiconductor Manufacturing Company, and Synopsys, and he is currently affiliated with the TerraSwarm Research Center.
February 10th, 2015
Electronic, Optical and Magnetic Materials for Neural Interrogation Dr. Polina Anikeeva, Career Development Professor, Department of Materials Science and Engineering Massachusetts Institute of Technology Monday, February 23, 2015 3:05 – 3:55 p.m. SMBB 2650 Abstract The mammalian nervous system is often compared to an electrical circuit, and its dynamics and function are governed by ionic currents across the membranes of neurons. Many neurological disorders are characterized by inhibited/amplified neural activity in a particular region or lack of communication between the two regions of the nervous system. Current approaches to treatment of these disorders have limited effectiveness, and often rely on mechanically invasive and bulky devices. There is a pressing need for biocompatible materials and devices allowing for precise minimally invasive manipulation and monitoring of neural activity. In Bioelectronics Group, we are taking two complimentary materials approaches to neural recording and stimulation: (1) Flexible polymer and hybrid optoelectronic fibers for intimate neural interfaces; (2) Magnetic nanomaterials for minimally invasive manipulation of neural activity. In my talk, I will illustrate how a fabrication process inspired by optical fiber production yields flexible multifunctional probes capable of optical, electronic and pharmacological interfaces with neural tissues in vivo. I will then demonstrate how these fiber-based neural probes can be tailored to applications within a specific part of nervous system such as the brain or spinal cord. Finally, my talk will cover materials synthesis and physics that enable minimally invasive neural stimulation via functional fusion of magnetic nanomaterials and ion channels on neuronal membranes. I will describe applications of the remote magnetothermal paradigm in stimulation of intact brain circuits, and illustrate how materials design can enable multiple interrogation modalities with alternating magnetic fields. Biography Dr. Polina Anikeeva received her BS in Physics from St. Petersburg State Polytechnic University in 2003. After graduation she spent a year at Los Alamos National Lab where she worked on developing photovoltaic cells based on semiconductor quantum dots. She then enrolled in a PhD program in Materials Science at MIT and graduated in January 2009 with her thesis dedicated to the design of light emitting devices based on organic materials and nanoparticles. She completed her postdoctoral training at Stanford University, where she developed implantable devices for simultaneous optical stimulation and high- throughput electronic recording from neural circuits during free behavior. Polina joined the faculty of the Department of Materials Science and Engineering in July 2011 as AMAX career development assistant professor. Her lab at MIT focuses on the development of flexible and minimally invasive materials and devices for neural recording, stimulation and repair. She is also a recipient of NSF CAREER Award, DARPA Young Faculty Award, and the Dresselhaus Fund Award among others.
February 10th, 2015
“Deploying Distributed Flexibility for Power System Security Enhancement” Dr. Masood Parvania, Postdoctoral Scholar, Center for Trustworthy Cyber Infrastructure for the Power Grid (TCIPG), Arizona State University Fri. Feb. 27th, 2015 3:05 – 3:55 p.m. WEB 1230 Warnock Engineering Building University of Utah Abstract The changing composition of energy resources, the aging of the grid infrastructure and an increasing number of natural disasters and cyber threats are contributing to heightened attention to the security of power delivery. Addressing the emerging security challenges requires additional flexibility and greater sophistication in managing the power system assets and operations. This seminar will present a hierarchical model for operation optimization of small-scale customers’ load reduction and distributed energy resources (DER) that has the potential of enhancing the operational security, improving the economic efficiency, and reducing the carbon footprint of power systems. Biography Dr. Masood Parvania is a Postdoctoral Scholar with the School of Electrical, Computer and Energy Engineering at Arizona State University, working at the center for Trustworthy Cyber Infrastructure for the Power Grid (TCIPG) on security and operational flexibility of power systems. Previously, he was affiliated with the TCIPG center at the Electrical and Computer Engineering Department at University of California Davis. In 2012-2013, he was a Research Associate with the Robert W. Galvin Center for Electricity Innovation at Illinois Institute of Technology, where he developed frameworks for integration of distributed energy resources in power system operation. He completed his Ph.D. degree in Electrical Engineering at Sharif University of Technology, in 2013, where he received the Outstanding Research Accomplishment Award. His research focuses on developing mathematical models and optimization techniques for economic, secure, and environmentally-friendly operation of power and energy systems. He has published more than 30 peer-reviewed journal and conference publications. Dr. Parvania is the Chair of the IEEE Power and Energy Society Task Force on Reliability Impacts of Demand Response Integration. He is a member of IEEE and INFORMS, and serves as a reviewer for several international journals.
February 17th, 2015
“Efficient and Resilient Operation of Modernized Distribution Grids” When: Monday, March 2, 2015 at 3:05 p.m. Where: Warnock Engineering Building (WEB) 1230 Abstract The ever-developing economy, environmental concerns, and costly outages make it essential to build the next-generation modernized power distribution grid which is more efficient and resilient. For the efficient operation, this talk will focus on the implementation and assessment of conservation voltage reduction (CVR). A load modeling-based method is presented to assess the load-reduction effects of CVR. For the resilient operation, this talk will discuss a self-healing strategy to optimally sectionalize the on-outage portion of a distribution system into networked self-supplied microgrids so as to provide reliable power supply to the maximum loads continuously. This talk will also introduce future research topics including coordinated and resilient operation of distribution grids with multiple microgrids, cyber-secure networked microgrids, and implementation of advanced Voltage/VAR control.
"Analysis of Sub-synchronous Resonance in Wind Farms Interfaced with Series Compensated Transmission Lines"
February 20th, 2015
"Analysis of Sub-synchronous Resonance in Wind Farms Interfaced with Series Compensated Transmission Lines" Dr. Hossein Ali Mohammadpour, Postdoctoral Fellow, University of South Carolina Mon. March 9th, 2015 from 3:05 – 3:55 p.m. in WEB 1230 Abstract Nowadays, it is well-understood that the burning of fossil fuels in electric power stations has a significant influence on global climate due to greenhouse gas emissions. In many countries, the use of cost-effective and reliable low-carbon electricity energy sources is becoming an important energy policy. Among different kinds of clean energy resources- such as solar power, hydro-power, ocean wave power and so on, wind power is the fastest-growing form of renewable energy at the present time. The adjustable speed generator wind turbine (ASGWT) has key advantages over the fixed-speed generator wind turbine (FSGWT) in terms of reduced mechanical stress, improved power quality, high system efficiency, and reduced acoustic noise. One important class of ASGWT is the doubly-fed induction generator (DFIG), which has gained significant attention from the electric power industry due to its advantages over the other class of ASGWT, i.e. fully rated converter-based wind turbines. Because of increased integration of DFIG-based wind farms into electric power grids, it is necessary to transmit the generated power from wind farms to the existing grids via transmission networks without congestion. Series capacitive compensation of DFIG-based wind farm is an economical way to increase the power transfer capability of the transmission line connecting the wind farm to the grid. However, a factor hindering the extensive use of series capacitive compensation is the potential risk of sub- synchronous resonance (SSR). The SSR is a condition where the wind farm exchanges energy with the electric network, to which it is connected, at one or more natural frequencies of the electric or mechanical part of the combined system, comprising the wind farm and the network. The frequency of the exchanged energy is below the fundamental frequency of the system. This phenomenon may cause severe damage in the wind farm, if not prevented, as occurred in the ERCOT power transmission network event of 2009, which damaged both wind generators and the series capacitors. This seminar deals with the SSR phenomena in a capacitive series compensated wind farm. A DFIG-based wind farm, which is connected to a series compensated transmission line, is considered as a case study. The small-signal stability analysis of the system is presented, and the eigenvalues of the system are obtained. Using both modal analysis and time-domain simulation, it is shown that the system is potentially unstable due to the SSR mode. Then, two different possibilities for the addition of SSR damping controller (SSRDC) are investigated. The SSRDC can be added to (1) gate-controlled series capacitor (GCSC), or (2) DFIG rotor-side converter (RSC) and grid-side converter (GSC) controllers. The first case is related to the series flexible AC transmission systems (FACTS) family, and the second ca se uses the DFIG back-to-back converters to damp the SSR. The SSRDC is designed using two methods including (1) residue-based analysis suppo
February 21st, 2015
"Transparency and Data-Driven Operation in Smart Grids" Dr. Reza Arghandeh, Postdoctoral Scholar, University of California – Berkeley Fri. March 13th, 2015 3:05 – 3:55 p.m. WEB 1230 Abstract The smart grid revolution is creating a paradigm shift in distribution networks that is marked by significant intermittency and uncertainty imposed by distributed energy resources on power systems. Distribution networks historically are lagging behind transmission networks in terms of observability, measurement accuracy, and data granularity. Grid modernization dramatically increases the need for tools to monitor and manage distribution networks and microgrids in a fast, reliable, and accurate fashion. Development of data-driven approaches to support required visibility and operational analytics is key to providing substantial enhancement in any societal scale infrastructure, e.g. electric grids. Visibility may allow us to anticipate imbalances and disturbances before they actually occur, giving us more time to prepare and respond. Measurement data analysis will allow for the visualization of power networks on multiple spatial and temporal scales. This talk will address opportunities and challenges of developing and implementing advanced monitoring technologies and data-driven decision making tools to support distribution network operation and control. Monitoring tools, such as phasor measurement units (PMUs), which have had success in the transmission system are ideal candidates for distribution network and microgrid applications. This talk will provide an overview of an ARPA-E funded research effort by UC Berkeley and the Lawrence Berkeley National Lab to build a network of high-precision micro-synchrophasors (µPMUs) and develop applications for µPMU data. Two keystones for distribution network transparency are the physical topology detections and the state estimation tools, which will be discussed in this talk. It is not practical to directly measure all parameters at every network component due to operational and economic constraints. Developing optimal state estimation algorithms, in addition to topology detection, is crucial in order to extract principal network behaviors from a limited number of measurements. Speaker Biography Dr. Reza Arghandeh has been a postdoctoral scholar at the University of California, Berkeley’s California Institute for Energy and Environment since 2013. He has 5 years industrial experience in power system working with different utilities. He completed his Ph.D. in Electrical Engineering with a specialization in power systems at Virginia Tech. He holds Master’s degrees in Industrial and System Engineering from Virginia Tech and in Mechanical Engineering from the University of Manchester. Dr. Reza Arghandeh has industrial and academic experience in physical-based modeling of transmission and distribution (T&D) networks, power system control and optimization, smart grid cyber-physical resilience, and smart grid big data analytics. From 2011 to 2013, he was a software designer at Electrical Distribution Design Inc. in Virginia, focusing on applications for the Distribution Engineering Workstation (DEW) software platform. He is a recipient of the Association of Energy Engineers (AEE) Scholarship, the UC Davis Green Tech Fellowship, and the best paper award from the ASME 2012 Power Conference. He is vice-chair of the IEEE Working Group on Electricity Transmission and Distribution Efficiency and chair of the ASME Renewable and Advanced Energy Committee.
February 22nd, 2015
"Nanosystems Design and Tools" Dr. Pierre-Emmanuel Gaillardon, Research Associate, Laboratory of Integrated Systems, Swiss Federal Institute of Technology - EPFL Mon. March 30th, 2015 from 3:05 – 3:55 p.m. in WEB 1230 Abstract Nanosystems are integrated systems exploiting nanodevice technologies. Nanodevices are either advanced Complementary-Metal-Oxide-Semiconductor (CMOS) transistor technologies or disruptive beyond-CMOS alternatives that can replace or enhance pure silicon technologies. The broad objective of this talk is to study circuits, architectures and design tools which, based on a deep understanding and abstraction of the technologies, allow us to realize nanosystems that outperform current integrated systems in terms of capabilities and performance. In the first part of the talk, I will introduce a novel class of computation devices, based on current silicon technology, which exhibit a controllable-polarity property. Controllable polarity devices enable a compact realization of XOR/MAJ-based logic functions, which are not implementable in CMOS in a compact form. In the second part of the talk, I will present emerging logic synthesis techniques, which can achieve native support for emerging nanoprimitives and extend the performances of current technologies. Two novel logic representation forms that show superior performances in manipulating logic functions will be discussed. In addition, I will show how their expressiveness can be leveraged in the design of Field Programmable Gate Arrays (FPGAs) architectures. In the final part of the talk, I will explain how we exploited the unconventional physical properties offered by Resistive memories (RRAMs) in FPGAs. Instead of only employing RRAMs as pure memories, we extended their use to that of non-volatile switches and we designed innovative circuits for routing elements, in which the memories take integral part in the data path. This approach is expected to lead to a breakthrough in the field of high performance reconfigurable platforms demonstrating more density, a higher performance and a better energy efficiency. Biography Pierre-Emmanuel Gaillardon works for EPFL, Lausanne, Switzerland, as a research associate at the Laboratory of Integrated Systems (LSI). He holds an Electrical Engineer degree (CPE-Lyon, France, 2008), a M.Sc. degree (INSA Lyon, France, 2008) and a Ph.D. in Electrical Engineering (CEA-LETI, Grenoble, France - University of Lyon, France, 2011). Previously, he was research assistant at CEALETI, Grenoble, France and visiting research associate at Stanford University, Palo Alto, CA, USA. He is recipient of the C-Innov 2011 best thesis award and the Nanoarch 2012 best paper award. He has been serving as TPC member for DATE'15, VLSI-SoC'15, CMOS-ETR'13-15, Nanoarch'12-14, ISVLSI'14 conferences and is reviewer for several journals, conferences and funding agencies. The research activities and interests of Dr. Gaillardon are currently focused on the development of reconfigurable logic architectures and circuits exploiting emerging device technologies and novel EDA techniques.
February 23rd, 2015
“Evolution of Microwave and Millimeter Wave Imaging for NDE Applications” By Dr. Reza Zoughi, IEEE Distinguished Lecturer in Instrumentation and Measurements, Schlumberger Endowed Professor, Missouri University of Science and Technology Friday, April 17th, 2015 from 3:05 – 3:55 p.m. in WEB 1230 Abstract Millimeter-wave signals span the frequency range of 30 GHz to 300 GHz, corresponding to a wavelength range of 10 mm to 1 mm. Signals at these frequencies can easily penetrate inside dielectric materials and composites and interact with their inner structures. The relatively small wavelengths and wide bandwidths associated with these signals enable the production of high spatial-resolution images of materials and structures. Incorporating imaging techniques such as lens-focused and near-field techniques, synthetic aperture focusing, holographical methods based on robust back-propagation algorithms with more advanced and unique millimeter wave imaging systems have brought upon a flurry of activities in this area and in particular for nondestructive evaluation (NDE) applications. These imaging systems and techniques have been successfully applied for a wide range of critical NDE-related applications. Although, near-field techniques have also been prominently used for these applications in the past, undesired issues related to changing standoff distance have resulted in several innovative and automatic standoff distance variation removal techniques. Ultimately, imaging techniques must produce high-resolution (in 3D) holographical images, become real-time, and be implemented using portable systems. To this end and to expedite the imaging process while providing a high-resolution images of a structure, recently the design and demonstration of a 6” by 6” one-shot, rapid and portable imaging system (Microwave Camera), consisting of 576 resonant slot elements, was completed. Subsequently, efforts have been expended to design and implement several different variations of this imaging system to accommodate one-sided and mono-static imaging, while enabling 3D image production using non-uniform rapid scanning of an object, as well as increasing the operating frequency into higher millimeter wave frequencies. This presentation provides an overview of these techniques, along with illustration of several typical examples where these imaging techniques have effectively provided viable solutions to many critical NDE problems. Speaker Biography R. Zoughi received his B.S.E.E, M.S.E.E, and Ph.D. degrees in electrical engineering (radar remote sensing, radar systems, and microwaves) from the University of Kansas where from 1981 until 1987 he was at the Radar Systems and Remote Sensing Laboratory (RSL). Subsequently, in 1987 he joined the Department of Electrical and Computer Engineering at Colorado State University (CSU), where he established the Applied Microwave Nondestructive Testing Laboratory (amntl). He held the position of Business Challenge Endowed Professor of Electrical and Computer Engineering from 1995 to 1997 while at CSU. In 2001 he joined the Department of Electrical and Computer Engineering at Missouri University of Science and Technology (S&T), formerly University of Missouri-Rolla (UMR), as the Schlumberger Distinguished Professor. His current areas of research include developing new nondestructive techniques for microwave and millimeter wave testing and evaluation of materials (NDT&E), developing new electromagnetic probes and sensors to measure characteristic properties of material at microwave frequencies, developing embedded modulated scattering techniques for NDT&E purposes and real-time high resolution imaging system d