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.
February 17th, 2015
Judd Distinguished Lecture: “Sustainability as Principle, Practice, Driver and Culture” By Dr. Linda P.B. Katehi, Chancellor of University of California, Davis Friday, March 6th, 2015 from 3:05 – 3:55 p.m. in SMBB 2650 Abstract Sustainability – as we define it today in our classrooms, capitols and marketplaces – has evolved and taken on an almost mythical quality. What began as an effort to sustain quality of life has grown to encompass everything that comprises the natural habitat. The word is ripe with meaning, yet not well defined, and actions worldwide in the name of sustainability are similarly wide-ranging and varied. The first foundational layer of the concept we refer to as sustainability was laid in the 1970s by the oil crisis, which connected the principle of sustainability to energy and the driving need to sustain access to petroleum to support economies, governments, lifestyles and future generations. By the 1980s, this term was connected to environmental concerns and it began to define a commitment to protect the planet and control climate change. By the 1990s, the word incorporated our aspirations for strong public education and public awareness, and sustainability became the primary way of expressing the desire to prepare future generations by integrating it into educational objectives. As we collectively closed the chapter on the "20th" century and walked across the bridge toward the "21st," sustainability was also connected to the concept of political stability after terrorist attacks shocked the world. The Great Recession that followed the fall of the banking industry and the bailout of the automotive industry has extended the meaning of sustainability to include the ability to preserve financial strength and to extend and improve quality of life. Today, sustainability is more than a state of mind. It has evolved into a core value and strategy. It is principle, practice, driver and culture. Speaker Biography Dr. Linda Katehi became the sixth chancellor of the University of California, Davis, on August 17, 2009. As chief executive officer, she oversees all aspects of the university’s teaching, research and public service mission, including the UC Davis Health System and its acute-care teaching hospital in Sacramento, one of the nation’s leading medical schools, a new school of nursing and a multi-specialty physician group that serves 33 counties and six million residents. In addition to her role as Chancellor, Linda Katehi also holds UC Davis faculty appointments in electrical and computer engineering and in women and gender studies. A member of the National Academy of Engineering, she chaired until 2010 the President’s Committee for the National Medal of Science and the Secretary of Commerce’s committee for the National Medal of Technology and Innovation. She is a fellow of the American Association for the Advancement of Science and the American Academy of Arts and Sciences, and is a member of many other national boards, and committees and local nonprofits. Her work in electronic circuit design has led to numerous national and international awards both as a technical leader and educator, 19 U.S. pat
"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 case uses the DFIG back-to-back converters to damp the SSR. The SSRDC is designed using two methods including (1) residue-based analysis supported b
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.
March 13th, 2015
Monday, March 23, 2015 from 3:05-3:55 p.m. in WEB 1230
March 13th, 2015
Friday, March 27, 2015 from 3:05-3:55 p.m. in WEB 1230
March 30th, 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.
March 30th, 2015
“Networks, Networks, and Power System Blackouts” By Dr. Hyde M. Merrill, Merrill Energy LLC Monday, April 6th, 2015 from 3:05 – 3:55 p.m. in WEB 1230 Abstract Cascading blackouts of the electric power system are a large-system problem that has been troublesome since the 1960’s. Tremendous efforts have been made to solve the problem, but the blackouts continue. Cascading blackouts occur when the power grid is stressed. They always start with failures in control and protective devices, or in practices and procedures. These conditions and elements of the power system are not modeled, or are modeled only in a limited way, in today’s planning and operating analyses. Recent research by the author and his associates has developed a new class of power system network models. Tools of modern network theory, applied to these models, have produced powerful measures of network stress. These have led to practical conclusions for operating and planning the bulk power system. This is a live version of the fourth of four recorded lectures on power system planning being prepared by the author for the University of Minnesota. Biography Dr. Merrill retired recently from a successful sixteen-year practice as an independent consulting engineer. Previously he worked for Power Technologies, Inc., a cutting-edge power system consulting engineering firm, and for American Electric Power Company, one of the world’s largest and most innovative electric utilities. He taught energy strategy planning as a visiting assistant professor at MIT and power system operation and control as an adjunct professor at Rensselaer Polytechnic Institute. He received BA and MS degrees from the U of U and his PhD from MIT. He was elected a Fellow of the IEEE in 1993 for his work in generalizing optimization for problems with multiple conflicting objectives. He is the author of about 90 papers. He served as Technical Chairman, Executive Chairman, and Policy Committee Chairman of the Power Industry Computer Applications (PICA) Conference. He has worked in 40 countries. Most of his work has been on large-scale power systems problems, in the intersection of power engineering, mathematics, and economics.
“Big Data Computational Imaging: Designing Instruments and Algorithms for Gigapixel Cameras and Real-time Millimeter-wave Radar”
April 2nd, 2015
“Big Data Computational Imaging: Designing Instruments and Algorithms for Gigapixel Cameras and Real-time Millimeter-wave Radar” By Dr. Daniel Marks, Associate Research Professor, Electrical and Computer Engineering Dept., Duke University Fri. April 10th, 2015 from 3:05 – 3:55 p.m. in WEB 1230 Abstract Gigapixel cameras stream billions of pixels per second of data which have to be assembled into contiguous, seamless video frames. Real-time millimeter-wave radar systems, designed for checkpoint security, capture millions of samples per second, which must be rapidly decoded to determine if threats objects are present. The solutions to these imaging problems are demonstrated by a process of joint design of the physical layer and the use of graphics processing unit accelerated algorithms. New capabilities are obtained by designing the instrumentation and inference methods to complement each other. An example of these new capabilities are the DARPA AWARE Wide-Field project gigapixel cameras, based on microcamera arrays that require image tiling algorithms to produce a seamless, contiguous image. A second example is a novel real-time W-band millimeter-wave security scanner based on frequency diversity. Biography Daniel Marks received his BS in Electrical Engineering from the University of Illinois at Urbana-Champaign in 1995, his MS from UIUC in 1998, and a PhD in Electrical Engineering from UIUC in 2001. He is currently an Associate Research Professor at the Electrical and Computer Engineering Department at Duke University in Durham, NC. He is currently an editor of Applied Optics, and has 85 research articles and 18 patents or patents-pending in areas including optical design, optical coherence theory, nonlinear optics, image and signal processing, optical coherence tomography, X-ray and coded aperture imaging, compressive sensing, holography, and microwave and millimeter wave imaging, and teaches graduate courses in optical design and optical coherence theory.
April 9th, 2015
“Room Temperature Magnetometer Arrays for Brain Imaging in Behaving Animals and Humans” By Dr. Massood Tabib-Azar, USTAR Professor, Electrical and Computer Engineering Dept. Monday, April 13, 2015 from 3:05 - 3:55 p.m. in WEB 1230 Abstract The main objective of this talk is to discuss our efforts to develop large arrays of magnetometers with femto (10-15) Tesla magnetic field sensitivity and 1 ms response time. The arrays will be used to non-invasively map brain neuron firings with spatial resolution of 100 microns in humans in their natural environment. Successful applications of these arrays may lead to fundamental advances in neuroscience, allowing combined spatial and temporal resolutions orders of magnitude better than any other noninvasive techniques. It may also lead to advances in basic neuroscience as well as applications to hundreds of neurological and psychiatric disorders. Our magnetometers are based on nano-electromechanical resonant devices that synchronously detect time varying magnetic fields generated by currents (1-100 nA) generated in axons when neurons fire. Compared to fMRI, the proposed magnetometers are portable and have much higher spatial and temporal resolutions, they do not require external magnetic fields and they do not require magnetic contrasting agents. Compared to EEG, the magnetic field is not affected by the skull or the intervening brain material while the electric potential detected by the EEG is attenuated and affected as it travels through different inhomogeneous regions of the brain. Moreover, the EEG electrodes are required to be in intimate contact with the skin while the magnetometers can be placed over the hair. Superconducting quantum interference devices (SQUIDs) and atomic vapor magnetometers readily achieve 10-15 to 10-16 Tesla sensitivity but SQUID requires cooling down to liquid helium temperatures and atomic vapor devices consume > 50 mW and both are relatively large compared to our devices that can be as small as 10 mm and very low power (~mW). We are utilizing the recent advances in multiferroic materials and novel microfabrication techniques such as atomic layer deposition to design and fabricate the proposed magnetometer arrays. This research is partially supported by the NSF EAGER program and USTAR. Biography Massood Tabib-Azar received M.S. and Ph.D. degrees in electrical engineering from the Rensselaer Polytechnic Institute in 1984 and 1986, respectively. In 1987 he joined the faculty of EECS department at Case Western Reserve University. He was a fellow at NASA during 1992-1992, on Sabbatical at Harvard University during 93-94, and at Yale University during 2000-2001. He was a Program Director at the ECCS Division of National Science Foundation during 2012-2013 Academic Year. Since January 2009, Massood is a USTAR Professor of ECE at the University of Utah, Electrical and Computer Eng. Department with an adjunct appointment in Bioengineering Department. His current research interests include nanometrology, molecular electronics, micro-plasma devices, nano-electromechanical computers, novel devices based on solid electrolytes (memristors), ultrasensitive sensors and actuators, brain imaging devices, microfluidics, and quantum computing. His teaching interests include development of courses in the area of electronic device physics and electromagnetics with an emphasis on solving problems and the use of com
April 9th, 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
April 10th, 2015
“Light Extraction and Nanomaterials for III-Nitride Based White Light-Emitting Diodes” By Dr. Peifen Zhu, Visiting Assistant Professor, Department of Physics and Engineering Physics, University of Tulsa Monday, April 20th, 2015 from 3:05 – 3:55 p.m. in WEB 1230 Abstract The importance of having low-cost and practical technology for improving the efficiency of solid-state lighting is key for the practical implementation of this technology for general illumination market. The thin-film flip-chip (TFFC) LED has been pursued as the state-of-the-art LED technology, which has been shown to have improved extraction by 1.6 times over the conventional planar LED technology. The combination of the thin-film concept with flip-chip technology provided surface brightness and flux output advantages over conventional LED, and currently the TFFC LEDs are widely used in industry for improved performance. To improve the light extraction further in TFFC LEDs, both surface roughness and photonic crystal methods had been implemented. In this talk, the use of self-assembled colloidal microlens arrays with rapid convective deposition (RCD) method will be demonstrated in both GaN and organic LEDs. The use of rapid convective deposition method enables roll-to-roll printing process of microsphere and nanosphere arrays on large wafer area applicable for manufacturing of large area LED technology. Comprehensive studies were carried out to analyze the light extraction efficiency of conventional top-emitting III-Nitride LEDs with microsphere arrays and TFFC LEDs with microsphere arrays deposited via rapid convective deposition process. The device structure was engineered to achieve optimum light extraction by varying refractive indices of spheres, the diameters of spheres, packing density and packing geometry of microsphere arrays. The optimized device structure is TFFC LED with hexagonal close-packed TiO2 sphere arrays. The use of hexagonal close-packed monolayer of TiO2 microsphere arrays on TFFC LED results in light extraction of 75%, which is 3.6 times higher than that of TFFC LEDs with planar surface. Further optimization by using microlens arrays on TFFC LED results in light extraction efficiency of 86%, which is 1.3 times higher than that of state-of-the-art TFFC LED with surface roughness approach. The key advantage of the self-assembled colloidal process is the ability for implementation of roll-to-roll printing method for large wafer scale manufacturing process. Biography Peifen Zhu obtained her PhD in electrical engineering from Lehigh University in November 2014. She received a BS in Physics from Liaocheng University, China and an MS in Physics from Jilin University, China. Peifen has been a visiting Assistant Professor in the Department of Physics and Engineering Physics at the University of Tulsa since August 2014. Her research is focused on functional material synthesis and characterization, device modeling and fabrication, implementation of functional materials in device technologies for energy efficiency, and renewable energy applications.
April 17th, 2015
“Nano-Engineering of Photovoltaic Devices” By Dr. Heayoung Yoon, Research Associate, Center for Nanoscale Science & Technology, National Institute of Standards & Technology (NIST) Friday, April 24th, 2015 from 3:05 – 3:55 p.m. in WEB 1230 Abstract Significant progress has been made in solar energy harvesting and conversion technology using inexpensive photovoltaic (PV) materials. Among these materials, cadmium telluride (CdTe) and copper indium gallium selenide (CIGS) solar cells represent one of the most successful PV technologies on the market today, currently reaching a power conversion efficiency of 21.5 % and 21.7 %, respectively. To achieve the maximum efficiency of 30 % possible for these technologies, considerable efforts have been made to understand the physical mechanisms that limit cell performance. In this talk, I present the inhomogeneous microstructural properties of CdTe solar cells in correlation with their macro-scale device performance. For quantitative determination of local photovoltaic properties at the nanoscale, electron-hole pairs are generated by either near-field optical illumination or low energy electron beam excitation. The spatially and spectrally resolved photocurrent maps confirm high carrier collection efficiencies at grain boundaries. An analytical model is introduced, and the extract material parameters at the level of single grains are compared. I outline future directions for low cost, high efficiency thin film solar cells by engineering their microstructures, surface, and interface. Biography Heayoung P. Yoon is a researcher associate in the Center for Nanoscale Science and Technology at National Institute of Standards and Technology (NIST). She received her B. S. and M. S. in Physics (minor: Computer Science) from Chungnam National University and Pohang University of Science and Technology in South Korea. She worked at the Samsung Advanced Institute of Technology before entering graduate school at Penn State. She received a Ph. D. in Electrical Engineering at Penn State, where her research focused on nanofabrication and integration of molecular junction devices. She continued postdoctoral research at Penn State on micro/nanowire solar cells. In the CNST at NIST, she is working on development of nanoscale measurement techniques for solar cells, hybrid nanomaterials and nanoelectronics devices.