Select a calendar:
Filter March Events by Event Type:
SUNMONTUEWEDTHUFRISAT
Conferences, Lectures, & Seminars
Events for March
-
Analog Hybrid modeling and robustness analysis on cell cycle regulatory circuitry
Mon, Mar 03, 2008 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Xiling ShenStanford UniversityAbstract:Caulobacter is a model system for studying bacterial cell cycle. A regulatory circuitry made of cascading regulatory proteins senses and regulates various cell functions, forming nested feedback control loops. By integrating the continuous regulator models with the discrete cell function models, a scalable hybrid control model was constructed that accurately simulates cell cycle regulation under various conditions for different mutant phenotypes. A novel adaptation of a formal verification tool from asynchronous circuit design further identified potential timing hazards in the regulatory circuitry. Ensuing experiments in-vivo revealed novel robustness mechanisms that were not expressed under normal lab conditions.Biography:
Xiling Shen is a PhD student in the Electrical Engineering Department at Stanford University. His current research interest focuses on modeling and analyzing biological regulatory networks using engineering concepts and tools.Xiling Shen received his BS and MS degree from the Electrical Engineering Department of Stanford University in 2001. He worked at Barcelona Design Inc., a semiconductor startup for two years, specializing in analog circuit design and optimization, before joining Professor Mark Horowtiz' research group in the Electrical Engineering Department at Stanford in 2003. In the first two years of his PhD, Xiling Shen collaborated with Professor Joseph Kahn to use adaptive spatial equalization to compensate modal dispersion in multimode fibers. Starting from 2005, Xiling Shen has been collaborating with Professor Harley McAdams, Professor Lucy Shapiro, and Professor David Dill to model and analyze the robustness of the Caulobacter cell cycle regulation.
Location: Hedco Neurosciences Building (HNB) - 100
Audiences: Everyone Is Invited
Contact: Ericka Lieberknecht
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
“High Dimension Statistical Problems: Practice and Theoryâ€
Wed, Mar 05, 2008 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
SPEAKER: Narayana P Santhanam, Postdoctoral Researcher, UC BerkeleyABSTRACT: For advances in biology, computation and storage, we have invited the "curse of dimensionality" upon many problems that concern the modern engineer. The colorful phrase in quotes coined by Bellman refers to the inability of classical methods to handle problems in which the parameters associated with each data sample is comparable to the number of samples at hand.In particular, high dimension statistical problems are ubiquitous in biology, data analysis and business. In this talk we will introduce approaches for tackling some such problems.We begin with a demonstration of our approaches on text data in the context of classification problems. We will show very fast algorithms that stand up to (and in many cases, beat) sophisticated statistical learning techniques in performance and speed. We then develop the theory behind these approaches using ideas from information theory, number theory, combinatorics, analysis as well as tools in statistical learning.The big picture is to see this work as source coding driven by data analysis and biology, complementing the traditional communication/storage driven models. We conclude with a brief preview of some of the directions in which we are developing this work.BIO: Narayana Santhanam is a postdoctoral researcher hosted by Prof. Martin Wainwright in UC Berkeley. He obtained the B.Tech degree from IIT Madras, and MS and PhD with Prof. Alon Orlitsky from UC San Diego. He is interested in theory and applications related to high dimensional problems, statistical learning, information theory and combinatorial/probabilistic problems in general.He is the recipient of the 2006 Information theory society award and the 2003 Capocelli Prize.HOST: Prof. Giuseppe Caire, caire@usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Improving Deep Brain Stimulation in Parkinsons Disease Using Feedback Control
Thu, Mar 06, 2008 @ 10:30 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
SPEAKER: Sridevi Sarma
Massachusetts Institute of Technology
Harvard Medical School ABSTRACT: An estimated 3 to 4 million people in the United States have Parkinson's Disease (PD), a chronic progressive neural disease that occurs when specific neurons in the midbrain degenerate, causing movement disorders such as tremor, rigidity, and bradykinesia. Currently, there is no cure to stop disease progression. However, surgery and medications are available to relieve some of the symptoms in the short term. A highly promising treatment is deep brain stimulation (DBS). DBS is a surgical procedure in which an electrode is inserted through a small opening in the skull and implanted in a targeted area of the brain. The electrode is connected to a neurostimulator (sits inferior to the collar bone), which injects current back into the brain to regulate the pathological neural activity. Although DBS is virtually a breakthrough for PD, it is necessary to search for the optimal stimulation signal postoperatively. This calibration often takes several weeks or months because the process is trial-and- error. During a post-operative visit, the neurologist asks the patient to perform various motor tasks and makes subjective observations. Based on these, he/she tweaks the stimulation parameters and asks the patient to return in hours, days or even weeks. The difficulty is that there are millions of stimulation parameters to choose from, though experience has reduced this to roughly 1000 options. My current research efforts are to 1. reduce calibration time down to days by developing a systematic testing paradigm using feedback control principles, and to 2. develop a new stimulation paradigm that allows for broader classes of DBS signals to be administered. Despite the fact that DBS is simply a control signal applied to a neural system to achieve desirable motor behavior from a patient, investigators are only beginning to approach these problems from a control systems engineering perspective.BIO: Sridevi V. Sarma received a BS (1994) from Cornell University and an MS (1997) and PhD (2006) from Massachusetts Institute of Technology in Electrical Engineering and Computer Science. Sri is now a postdoctoral fellow jointly at Harvard Medical School and MIT. Her research interests include control of constrained and defective systems (applications in neuroscience) and large-scale optimization. Sri is president and cofounder of Infolenz Corporation, a Marketing Analytics company. She is a recipient of the GE faculty for the future scholarship, a National Science Foundation graduate research fellow, and a recipient of the Burroughs Wellcome Fund Careers at the Scientific Interface Award.HOST: Prof. Urbashi Mitra, ubli@usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Gerrielyn Ramos
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
EE Students Practical Guide Seminar Series - Thinking ‘Interdisciplinary
Fri, Mar 07, 2008 @ 11:30 AM - 01:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Seminar Leaders: Profs. Richard Leahy and Shrikanth (Shri) NarayananWebsite: http://ee.usc.edu/news/practical-guide/ * Pizza will be provided by the EE Department.*Abstract: The lines between traditional academic disciplines are
blurring as engineers, scientists and other researchers work together to
address major societal challenges and scientific questions. Research
teams at USC are involved in large scale projects addressing issues such
as climate change and energy, biomedical nanoscience and its
applications, computational and systems biology, and the use of
technology to enhance the education, health and well-being of children.
Electrical engineers have a major role to play in these and other
multidisciplinary projects. We will discuss our experience in
multidisciplinary research focusing on the challenges and rewards of
this mode of research, as well as practical questions such as training
for graduate students and postdocs, sources and mechanisms for funding,
and the impact of interdisciplinary studies on obtaining faculty
positions and tenure. This will be an informal meeting and we look
forward to a lively dialog with those attending.Biographical SketchesProf. Richard Leahy is a Professor of Electrical Engineering, Biomedical
Engineering and Radiology at the Uni¬versity of Southern California. He
was Director of the USC Signal and Image Processing Institute from 1997
- 2003. Dr. Leahy is a Fellow of the Institute of Electrical and
Electronic Engineers (IEEE) and was general chair of the 2004 IEEE
International Symposium on Biomedical Imaging (ISBI). He has published
over 200 papers in the field of biomedical signal and image processing.
His research interests lie in the application of signal and image
processing theory to biomedical imaging problems. His research involves
the development of methods for anatomical and functional imaging with
applications in neuroimaging and molecular imaging using PET, MRI and
EEG/MEG.Prof. Shrikanth (Shri) Narayanan is Andrew J. Viterbi Professor of
Engineering and holds appointments as Professor of Electrical
Engineering and jointly Professor in Computer Science, Linguistics and
Psychology at the University of Southern California (USC). Prior to USC
he was a researcher at AT&T Bell Labs and AT&T Research in New Jersey.
At USC, he is a member of the Signal and Image Processing Institute and
directs the Signal Analysis and Interpretation Laboratory (SAIL). The
focus of his research group, which is interdisciplinary and includes
teams of both graduate and undergraduate students, is on human-centric
signals and systems modeling including applications in speech, audio,
video and biomedical domains. Examples of recent large projects
include building an automated speech translation system that will help
two people who do not share a language communicate, methods for
assessing literacy in young children, systems for modeling audio and
music, using novel imaging techniques to understand human speech
production, and contributions to the design of virtual humans for
simulation and training.Shri Narayanan is a Fellow of the Acoustical Society of America, and is
a recipient of several academic honors including a 2005 best paper
award from the IEEE Signal Processing society and a Mellon Award for
Excellence in Mentoring. Research papers co-authored with his students
have won several best student paper awards at major IEEE venues. He has
published over 250 papers and has fifteen granted/pending U.S. patents.Location: Seaver Science Library (SSL) - 150
Audiences: Everyone Is Invited
Contact: Gerrielyn Ramos
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
“Brillouin Scattering Slow Light in Fibers, and Secure Optical Key Generationâ€
Mon, Mar 10, 2008 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
SPEAKER: Dr. Avi Zadok, Post-doctoral Scholar, CalTechABSTRACT: Stimulated Brillouin Scattering (SBS) is a non-linear propagation effect which couples between a strong pump wave and a typically weak probe wave in an optical fiber. The gain process experienced by the probe wave is accompanied by a controllable group delay. In recent years, SBS has been widely used for the variable delay of high-rate data streams (slow and fast light), for a potential application of optical buffers [1]. In the first half of the talk, several less-known aspects of SBS-based slow light, which could lead to a broader range of applications, will be demonstrated. First, the maximum usable delay may be extended through careful optimization of the pump wave modulation, and control of its spectrum. Second, SBS can be applied to process and delay analog waveforms. Such processing is highly attractive, for example, in optical beam-forming in broadband, phased array antennas [2]. Finally, SBS is strongly dependent on polarization and fiber birefringence. This dependence may be used for locking and synthesis of the output probe state of polarization.
The second half of the talk will be dedicated to a novel protocol for secure key generation in the optical domain. The proposed scheme is based on establishing Ultra-long Fiber Laser (UFL) oscillations along a link between two users [3]. The key bits in the UFL system are represented by the choices of spectrally-selective mirrors made by the two users. While these choices can be simply determined by the legitimate end users, they may not be reconstructed by an eavesdropper employing either time or frequency domain attacks. Unlike quantum key distribution protocols, the UFL system consists entirely of standard, off-the-shelf fiber-optic components. The system allows for the use of amplifiers, and its bit rate decreases only linearly with distance. Experimental results demonstrating secure code generation will be presented.[1] Z. Zhu et al., J. Lightwave Technol. 25, 201-206, 2007
[2] A. Zadok et al., Photonics Technol. Lett. 19, 462-464, 2007
[3] J. Scheuer and A. Yariv, Phys. Rev. Lett. 97, 140502, 2006BIO: Avi Zadok received his B.Sc. in Physics and Mathematics at the Hebrew University, Jerusalem in 1994, and the M.Sc. and Ph.D. degrees in Electrical Engineering at Tel-Aviv University in 1999 and 2007. His Ph.D. research areas included dynamic optical filters, statistical optics, optical communications and slow light. He is presently a post-doctoral scholar with the group of prof. Amnon Yariv at Caltech, where his work concentrates on active Silicon photonics and optical communications. HOST: Prof. Alan Willner, willner@usc.eduLocation: Hughes Aircraft Electrical Engineering Center (EEB) - 539
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Distinguished Lecture Series: Compressive Sensing
Wed, Mar 12, 2008 @ 02:30 AM - 04:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
BIO:
Emmanuel Candes received his B. Sc. degree from the Ecole Polytechnique (France) in 1993, and the Ph.D. degree in statistics from Stanford University in 1998. He is the Ronald and Maxine Linde Professor of Applied and Computational Mathematics at the California Institute of Technology. Prior to joining Caltech, he was an Assistant Professor of Statistics at Stanford University, 1998--2000. His research interests are in computational harmonic analysis, multiscale analysis, approximation theory, statistical estimation and detection with applications to the imaging sciences, signal processing, scientific computing, inverse problems. Other topics of interest include theoretical computer science, mathematical optimization, and information theory.Dr. Candes received the Third Popov Prize in Approximation Theory in 2001, and the DOE Young Investigator Award in 2002. He was selected as an Alfred P. Sloan Research Fellow in 2001. He co-authored a paper that won the Best Paper Award of the European Association for Signal,Speech and Image Processing (EURASIP) in 2003. He was selected as the main lecturer at the NSF-sponsored 29th Annual Spring Lecture Series in the Mathematical Sciences in 2004 and as the Aziz Lecturer in 2007. He has also given plenary and keynote addresses at major international conferences including ICIAM 2007 and ICIP 2007. In 2005, he was awarded the James H. Wilkinson Prize in Numerical Analysis and Scientific Computing by SIAM. Finally, he is the recipient of the 2006 Alan T. Waterman Medal awarded by the US National Science Foundation.ABSTRACT:
One of the central tenets of signal processing and data acquisition is the Shannon/Nyquist sampling theory: the number of samples needed to capture a signal is dictated by its bandwidth. This talk introduces a novel sampling or sensing theory which goes against this conventional wisdom. This theory now known as Compressed Sensing or Compressive Sampling'' allows the faithful recovery of signals and images from what appear to be highly incomplete sets of data, i.e. from far fewer measurements or data bits than traditional methods use. We will present the key ideas underlying this new sampling or sensing theory, and will survey some of the most important results. We will emphasize the practicality and the broad applicability of this technique, and discuss what we believe are far reaching implications; e.g. procedures for sensing and compressing data simultaneously and much faster. Finally, there are already many ongoing efforts to build a new generation of sensing devices based on compressed sensing and we will discuss remarkable recent progress in this area as well.TIME/LOCATION:
Lecture: 2:30-3:30PM (GER Auditorium)
Reception: 3:30-4:30PM (GER Patio)Location: Ethel Percy Andrus Gerontology Center (GER) - ontology Auditorium, Reception to follow in the Patio
Audiences: Everyone Is Invited
Contact: Estela Lopez
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Information Flow Over Wireless Networks: A Deterministic Approach
Thu, Mar 13, 2008 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
SPEAKER: Salman Avestimehr, Ph.D. Candidate, Department of EECS, UC-BerkeleyABSTRACT How does information flow over wireless networks? Answer to this basic question is one of the most challenging problems in the field of wireless network information theory. From a practical point of view, the answer to this question will have a significant impact on the architectural design of future wireless systems. So far, the majority of research done in this area have been based on the classical additive Gaussian noise model for wireless channels. However, due to the complexity of this model, except for the simplest networks, the analysis of most other networks has been an open problem for many years.To make further progress, we develop a deterministic channel model which is analytically simpler than the Gaussian model, but at the same time captures the essential physical layer properties of the wireless medium: signal strength, superposition and broadcast. We will demonstrate how this model can be an effective tool to help visualize the flow of information and obtain intuitive insights in many challenging network scenarios. Furthermore, somewhat surprisingly, these deterministic results translate to good approximation for the Gaussian case. As an example, we apply this approach to cooperative wireless relay networks (with a single source node and a single sink node and arbitrary number of relay nodes to help with the communication), whose capacity even in the simplest case with only one relay is unsolved for more than 30 years. We first determine the capacity of deterministic relay networks. This result is a generalization of the max-flow min-cut theorem for wireline networks. Next we use the connections between the deterministic model and the Gaussian model to approximate the capacity of Gaussian relay networks within a constant number of bits, independent of the channel parameters.In addition, the deterministic model can also be used to replace other simplistic models, such as collision model, to capture some abstraction of the physical layer at higher layers of network design. This is an important step towards developing new networking algorithms that exploit the available degrees of freedom at the physical layer.BIO: Salman Avestimehr is presently a Ph.D. candidate advised by Prof. David Tse at UC Berkeley. He was a Vodafone fellow at UC Berkeley during 2003-2005. He received his B.Sc. degree (with honors) from Sharif University of Technology in 2003, and his M.Sc. degree from UC Berkeley in 2005, both in Electrical Engineering and Computer Sciences. His research interests include wireless communications and networks, information theory and signal processing.HOST: Professor Michael J. Neely, mjneely@usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
An International News Monitoring Solution by Salim Roukos
Fri, Mar 14, 2008 @ 02:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Designed to address the exponential growth of broadcast information, the IBM Translingual Automatic Language Exploitation System (TALES) allows users (say an English speaker) to monitor in near real-time, foreign language news broadcasts and news websites, 24 hours a day, 7 days a week. TALES currently supports Arabic, Chinese, Spanish, and English web and broadcast news monitoring. In this talk, I will describe the component technologies of speech recognition, statistical machine translation, and information extraction that are used to build the TALES speech translation application.Bio:
Salim Roukos is Senior Manager and CTO for Translation Technologies at IBM. His research areas at IBM have been in statistical machine translation, information extraction, statistical parsing, and statistical language understanding for conversational systems. Roukos received his B.E. from the American University of Beirut, in 1976, his M.Sc. and Ph.D. from the University of Florida, in 1978 and 1980, respectively. Roukos has served as Chair of the IEEE Digital Signal Processing Committee in 1988. Roukos lead the group that created IBM's ViaVoice Telephony product, the first commercial software to support full natural language understanding for dialog systems in 2000, and more recently the first statistical machine translation product for Arabic-English translation in 2003. More recently, Roukos leads the Rosetta Consortium (IBM with six leading US universities) for the DARPA GALE project for developing machine translation technology for both text and speech inputs and for developing distillation systems to answer user's requests for information.Host: Dr. Shrikanth NarayananLocation: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Gloria Halfacre
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Harnessing Attosecond Science for Coherent X-Ray Generation and Applications
Tue, Mar 25, 2008 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Dr. Margaret MurnaneJILAUniversity of Colorado, Boulder"Harnessing Attosecond Science for Coherent X-Ray Generation and Applications"Lecture 2:00 PMOlin Hall of Engineering (OHE 122)
Hosted by Prof. Hossein HashemiAbstract
To generate coherent x-ray beams, extreme nonlinear optical techniques have succeeded in upshifting visible laser light into the x-ray region of the spectrum. This ability has given us a new coherent light source that spans such a large region of the spectrum that we now access processes that occur on sub-femtosecond or attosecond (1 as=10-18 s) time-scales. Equally intriguing is the fact that we have learned how to use femtosecond laser light to coherently manipulate electrons in atoms and molecules on their fundamental, attosecond timescales. The richness and complexity of attosecond science and technology is only just beginning to be uncovered. As I will discuss in this talk, attosecond science can capture the complex, interwoven dance of electrons in molecules and materials. Attosecond science also shows great promise for developing new ultrasensitive molecular imaging and spectroscopic
techniques. Finally, attosecond science represents the most promising avenue to achieve what had seemed hopelessly impractical until now -- the generation of bright, coherent, hard x-ray beams using a tabletop-scale apparatus.Bio
Margaret Murnane is a Fellow of JILA and is a member of the faculty in the Department of Physics and Electrical and Computer Engineering at the University of Colorado. She received
her Ph.D. degree from the University of California at Berkeley, before joining the faculty
at Washington State University in 1990. In 1996, Professor Murnane moved to the University
of Michigan, and in 1999 she moved to the University of Colorado. Prof. Murnane's research interests have been in ultrafast optical and x-ray science and technology. She runs a joint research group with her husband, Professor Henry Kapteyn, as well as a high tech laser company, KMLabs. She is a Fellow of the American Physical Society, the Optical Society of America, and the AAAS. She was elected to the National Academy of Sciences in 2004, and the American Academy of Arts and Sciences in 2006. She was also awarded a John D. and Catherine T. MacArthur Fellowship in 2000. Prof. Murnane is very interested in increasing diversity in science and engineering.Location: Olin Hall of Engineering (OHE) - 122
Audiences: Everyone Is Invited
Contact: Ericka Lieberknecht
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Design and Analysis Novel Wideband Analog/RF Integrated Circuits
Fri, Mar 28, 2008 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Payam HeydariUniversity of California at Irvine"Design and Analysis Novel Wideband Analog/RF Integrated Circuits"Abstract:
This talk will first give a brief overview of research in Nanoscale Communication IC (NCIC) Lab at UC-Irvine. Then, design of novel high frequency circuit techniques/topologies/architectures including distributed radios for wideband wireless transceivers, 22-29GHz receiver front-end for short-range automotive radars, and ultra-broadband buffers/amplifiers for broadband transceivers will be presented.Biography:
Payam Heydari received his B.S. and M.S. degrees (Honors) in Electrical Engineering from Sharif University of Technology in 1992 and 1995, respectively. He received his Ph.D. degree at the University of Southern California in 2001. He is now an Associate Professor of Electrical Engineering at the University of California, Irvine.
During the summer of 1997, he was with Bell-labs, Lucent Technologies where he worked on noise analysis in high-speed CMOS integrated circuits (ICs). He worked at IBM T. J. Watson Research Center on gradient-based optimization and sensitivity analysis of custom ICs during the summer of 1998.
Dr. Heydari is the recipient of the 2007 IEEE Circuits and Systems Society Guillemin-Cauer Award, the 2005 IEEE Circuits and Systems Society Darlington Award, the 2005 National Science Foundation (NSF) CAREER Award, the 2005 Henry Samueli School of Engineering Teaching Excellence Award, the Best Paper Award at the 2000 IEEE International Conference on Computer Design (ICCD), and the 2001 Technical Excellence Award in the area of Electrical Engineering from the Association of Professors and Scholars of Iranian Heritage (APSIH). He was recognized as the 2004 Outstanding Faculty in the EECS Department of the University of California, Irvine. His name appeared in the 2006 edition of Who's Who in America and Who's Who in Science and Engineering.
Dr. Heydari serves as the Associate Editor of IEEE Trans. on Circuits and Systems - I, and the Guest Editor of IEEE Journal of Solid-State Circuits. He currently serves on the Technical Program Committees of Custom Integrated Circuits Conference (CICC), International Symposium on Low-Power Electronics and Design (ISLPED), and International Symposium on Quality Electronic Design (ISQED). He is the director of the Nanoscale Communication IC (NCIC) Lab.
His research interests include design of ulta-high frequency analog and RF ICs, and high frequency on-chip interconnect design for high-speed ICs. He has published papers in premier conferences on integrated circuit design including ISSCC, CICC, RFIC Symposium, DAC. Results of the research in the NCIC Lab have appeared in more than 60 peer-reviewed journal and conference papers.
He is a Senior Member of the IEEE.Date: Friday, March 28, 2008
Place: GFS 106
Time: 2:00 PM – 3:00 PMLocation: Grace Ford Salvatori Hall Of Letters, Arts & Sciences (GFS) - 106
Audiences: Everyone Is Invited
Contact: Ericka Lieberknecht
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Simulation of Silicon Nanowire Transistors and De-embedding Study for Advanced RFCMOS/BiCMOS Techno
Mon, Mar 31, 2008 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Jing Wang, Ph.D."Simulation of Silicon Nanowire Transistors and De-embedding Study for Advanced RFCMOS/BiCMOS Technologies"IBM Semiconductor Research and Development CenterAbstract:Semiconductor nanowires are being extensively studied as key materials in today's exciting research on nanotechnology. In particular, nanowire-based transistors have attracted broad attention as a promising substitute for the conventional MOSFET beyond its scaling limits. To understand device physics in depth and to assess the performance limits of these novel nanowire devices, simulation is becoming increasingly important. In this talk, a systematic, computational study of silicon nanowire transistors (SNWTs) is presented. The topics include: 1) 3-D electrostatics and ballistic limits of SNWTs with various cross-sectional shapes, 2) surface roughness scattering in SNWTs and 3) bandstructure effects in Si and Ge nanowire FETs with arbitrary orientations. In addition to the SNWT work, this talk also covers an experimental analysis of various on-wafer de-embedding techniques for RF modeling of advanced RFCMOS and SiGe BiCMOS technologies.Biography:Jing Wang obtained his Bachelor's degree (with the highest honor) in Electronic Engineering from Tsinghua University, China in 2001 and his Ph.D. degree in Electrical and Computer Engineering from Purdue University in 2005. His Ph.D. research, supervised by Prof. Mark Lundstrom, covered device physics and simulation of silicon nanowire transistors, exploration of nanoscale MOSFETs, and simulation of high electron mobility transistors. Since September 2005, Jing Wang has been working as an advisory engineer at the IBM Semiconductor Research and Development Center, Hopewell Junction, NY, where he is currently a technical lead of the compact modeling team developing IBM's next generation CMOS and RFCMOS technologies. Jing Wang is author/co-author of more than twenty journal/conference papers and a book chapter, co-inventor of two issued and seven pending US patents, and recipient of several IBM-internal awards for his invention achievements and his innovative work on RF de-embedding.Date: Monday, March 31, 2008
Place: HNB 100
Time: 2:00 PM – 3:00 PM
Location: Hedco Neurosciences Building (HNB) - 100
Audiences: Everyone Is Invited
Contact: Ericka Lieberknecht
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
