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Conferences, Lectures, & Seminars
Events for December
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USC Stem Cell Seminar: Andy Groves, Baylor College of Medicine
Tue, Dec 01, 2015 @ 11:00 AM - 12:00 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Andy Groves, Professor/Baylor College of Medicine
Talk Title: Hearsay: The role of Forkhead transcription factors in ear and jaw development
Series: Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research at USC Distinguished Speakers Series
Abstract: Neural crest and craniofacial placodes develop from a region of progenitors at the border of the neural plate. A long-standing puzzle is how these progenitors respond to a small family of BMP, Wnt and FGF inducing signals to adopt often radically different fates. A growing body of work suggests that distinct sets of transcription factors help progenitor cells in the regions reinforce their own fates and repress alternatives. We have shown that a forehead transcription factor, Foxi3, is expressed very early in non-neural ectoderm that will eventually form all craniofacial placodes. We have shown that Foxi3 is directly necessary for the development of the inner ear, and indirectly necessary for the survival of neural crest progenitors that drive the formation of the first and second branchial arches. Our current evidence suggests that Foxi3 may be acting as a pioneer factor in some of these events.
Host: Neil Segil
More Info: http://stemcell.usc.edu/events/details/?event_id=916781
Webcast: keckmedia.usc.edu/stem-cell-seminar (username: stem; password: seminar)Location: Zilkha Neurogenetic Institute (ZNI) - Herklotz Seminar Room (112)
WebCast Link: keckmedia.usc.edu/stem-cell-seminar (username: stem; password: seminar)
Audiences: Everyone Is Invited
Contact: Cristy Lytal/USC Stem Cell
Event Link: http://stemcell.usc.edu/events/details/?event_id=916781
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MFD - Chemical Engineering and Materials Science Lyman L. Handy Series: Walter Illma
Thu, Dec 03, 2015 @ 12:45 PM - 02:00 PM
Mork Family Department of Chemical Engineering and Materials Science
Conferences, Lectures, & Seminars
Speaker: Walter Illman, Univ of Waterloo
Talk Title: Significant Improvement to Imaging Hydraulic Heterogeneity in Heterogeneous Geologic Media via Hydraulic Tomography
Series: MFD Lyman L. Handy
Host: Prof. Behnam Jafarpour
Location: James H. Zumberge Hall Of Science (ZHS) - 159
Audiences: Everyone Is Invited
Contact: Jason Ordonez
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CS Colloquium: Kyunghyun Cho (NYU) - Neural machine translation - Progress Report
Thu, Dec 03, 2015 @ 04:00 PM - 05:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Kyunghyun Cho, NYU
Talk Title: Neural machine translation -- Progress Report
Series: CS Colloquium
Abstract: This lecture satisfies requirements for CSCI 591: Computer Science Research Colloquium
Neural machine translation is a recently proposed framework for machine translation, which is purely based on neural networks. Neural machine translation radically departs from the existing, widely-used, often phrase-based statistical machine translation by viewing the task of machine translation as a supervised, structured output prediction problem and solving it with recurrent neural networks. In this talk, I will describe in detail what neural machine translation is and discuss recent advances which have made it possible for neural machine translation system to be competitive with the conventional statistical approach. I will conclude the talk by presenting my view on the future of machine translation and a big question of "is natural language special?"
The lecture will be available to stream HERE.
Biography: Kyunghyun Cho is an assistant professor of Computer Science and Data Science at New York University (NYU). Previously, he was a postdoctoral researcher at the University of Montreal under the supervision of Prof. Yoshua Bengio after obtaining a doctorate degree at Aalto University (Finland) in early 2014. Kyunghyun's main research interests include neural networks, generative models and their applications, especially, to language understanding.
Host: Yan Liu
Webcast: https://bluejeans.com/506861099Location: Henry Salvatori Computer Science Center (SAL) - 101
WebCast Link: https://bluejeans.com/506861099
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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Communications, Networks & Systems (CommNetS) Seminar
Fri, Dec 04, 2015 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Yi Ouyang, University of Michigan, Ann Arbor
Talk Title: A Common Information Based Multiple Access Protocol Achieving Full Throughput and Linear Delay
Series: CommNetS
Abstract: Multiple access communication has played a crucial role in the operation of many networked systems, including satellite networks, radio networks, wired/wireless Local Area Networks (LANs), and data centers. One important feature of multiple access communication is its decentralized information structure. In general, when multiple users share the communication system, coordination among them is essential to resolve collision issues. In the absence of a centralized controller, it is challenging to design efficient user coordination mechanisms.
We consider a typical slotted multiple access communication system where multiple users share a common collision channel. Each user is equipped with an infinite size buffer and observes Bernoulli arrivals to its own queue. In addition to the local information, all users receive a common broadcast feedback from the channel. The feedback indicates whether the previous transmission was successful, or it was a collision, or the channel was idle. The objective is to design a transmission protocol that effectively coordinates the users transmissions under the above described information structure.
In this talk, we propose a common information based multiple access protocol (CIMA) that uses the common channel feedback to coordinate users. In CIMA, each user constructs upper bounds on the lengths of the queues of all users, including itself, based on previous transmission strategies and the common feedback. Since the upper bounds are common knowledge, users can coordinate their transmission through these common upper bounds to avoid collision. We prove that without knowledge of any statistics, CIMA achieves the full throughput region of the collision channel. We also prove that the CIMA protocol incurs low transmission delay; the delay is upper-bounded by a linear function of the number of users.
Biography: Yi Ouyang received the B.S. degree in Electrical Engineering from the National Taiwan University, Taipei, Taiwan in 2009. He is currently a Ph.D. candidate in Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor, MI, USA. His research interests include stochastic scheduling, decentralized stochastic control and dynamic stochastic games with asymmetric information.
Host: Dr. Ashutosh Nayyar
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Annie Yu
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Integrated Systems Seminar Series
Fri, Dec 04, 2015 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Prof. Andreas G. Andreou, IEEE Fellow, Johns Hopkins University
Talk Title: BRAINWAY: Cognitive Computing using Energy Efficient Physical Computational Structures, Algorithms and Architecture Co-Design
Series: Integrated Systems Seminar
Abstract: The BRAINWAY project in my lab is aimed at the design of an energy efficient Cognitive Processor Unit (CogPU) that combines Ultra-Low-Voltage (ULV) circuit techniques with brain-inspired chip multiprocessor network-on-chip (NoC) architecture, in 3D CMOS technology. The design of the CopPU architecture is based on the recently developed mathematical framework for architecture exploration and optimization, where neurons are abstracted as arithmetic units, processing information using stochastic or deterministic unary representations. Data in the system represent probabilities a choice that is well suited for probabilistic inference and machine learning. Such highly energy efficient CogPU inference engine will provide an energy efficiency gain of about x65 by using ULV techniques and massive parallelism, a gain of about x10 by relying on its SOC 3D DRAM, and a gain of about x15 by relying on new memory based Bayesian inference computational structures. This yields an estimate aggregate improvement factor in energy efficiency of about x10000, roughly four to five orders of magnitude with respect to present day state-of-the-art. Preliminary results from fabricated chips in the Global Foundries 55nm technology confirm our estimates and to the best of our knowledge these are the first CMOS computer architecture that computes natively with probabilities. I will discuss the design and experimental results from sub-systems of the architecture, representing processing units for exact and approximate Bayesian inference, multi-variate function approximation, including circuit details for mixed signal vector-vector multiplier units, physical random number generators and probability approximators
Biography: Dr. Andreas G. Andreou is a professor of electrical and computer engineering, computer science and the Whitaker Biomedical Engineering Institute, at Johns Hopkins University. Andreou is the cofounder of the Johns Hopkins University Center for Language and Speech Processing. Research in the Andreou lab is aimed at brain inspired microsystems for sensory information and human language processing. Notable microsystems achievements over the last 25 years, include a contrast sensitive silicon retina, the first CMOS polarization sensitive imager, silicon rods in standard foundry CMOS for single photon detection, hybrid silicon/silicone chip-scale incubator, and a large scale mixed analog/digital associative processor for character recognition. Significant algorithmic research contributions for speech recognition include the vocal tract normalization technique and heteroscedastic linear discriminant analysis, a derivation and generalization of Fisher discriminants in the maximum likelihood framework. In 1996 Andreou was elected as an IEEE Fellow, "for his contribution in energy efficient sensory Microsystems."
Host: Hosted by Prof. Hossein Hashemi, Prof. Mike Chen, and Prof. Mahta Moghaddam. Organized and hosted by SungWon Chung.
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Elise Herrera-Green
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Astani Civil and Environmental Engineering Ph.D. Seminar
Fri, Dec 04, 2015 @ 03:00 PM - 04:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Chi-Chung Tang, Wastewater Research Section Manager
Talk Title: Assessing the Feasibility of Recovering Phosphorus at the Sanitation District Wastewater Treatment Facilities
Abstract: See attachment
More Information: Tang Announcement.pdf
Location: Seeley G. Mudd Building (SGM) - 101
Audiences: Everyone Is Invited
Contact: Evangeline Reyes
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NL Seminar-What Can We Learn From An Agent that Plays Word-Guessing Games?
Fri, Dec 04, 2015 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Eli Pincus, USC/ICT
Talk Title: What Can We Learn From An Agent that Plays Word-Guessing Games?
Abstract: In this talk I will discuss an agent that can play a simple word-guessing game with a user. The fast-paced, multi-modal, and interactive nature of the dialogue that takes place in word-guessing games are challenging for today's dialogue systems to emulate. The agent serves as a research testbed to explore issues of fast-paced incremental interaction and user satisfaction in such a setting. I will trace how the agent's design was motivated by a human-human corpus as well as discuss two empirical studies involving the agent. The first study was designed to learn an algorithm to automatically select effective clues (clues likely to elicit a correct guess from a human). The second study was an evaluation of several synthetic voices and 1 human voice which showed how participant's subjective perceptions and objective task performances fluctuated based on the voice used and the duration of the participant's exposure to the voice.
Biography: Eli Pincus is a 3rd year USC PhD student and a graduate research assistant in the Natural Dialogue Group at
USC Institute for Creative Technologies. He is advised by Professor David Traum. Eli's main research is in human-computer dialogue. Since joining USC he has been working on improving virtual human dialogue. He won the best computer science department TA award in spring 2015. He was a research intern in the NLP and AI group at Nuance Communications in summer 2015.
Host: Nima Pourdamghani and Kevin Knight
More Info: http://nlg.isi.edu/nl-seminar/
Location: Information Science Institute (ISI) - 6th Flr Conf Rm # 689, Marina Del Rey
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: http://nlg.isi.edu/nl-seminar/
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Six Sigma Green Belt for Process ImprovementTue, Dec 08, 2015 @ 09:00 AM - 05:00 PM
DEN@Viterbi, Executive Education
Conferences, Lectures, & Seminars
Abstract: Learn how to integrate principles of business, statistics and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a Six Sigma green belt, you will be equipped to support and champion a Six Sigma implementation in your organization. To earn the Six Sigma Green Belt Certificate, you will be required to pass the Institute of Industrial Engineer's green belt exam (administered on the final day of the course).
This course is available on campus or online.
More Info: https://gapp.usc.edu/professional-programs/short-courses/industrial-systems/six-sigma-green-belt-process-improvement
Audiences: Registered Attendees
Contact: Viterbi Professional Programs
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CANCELLED: Irina Conboy, University of California, Berkeley, QB3, and The Berkeley Stem Cell Center
Tue, Dec 08, 2015 @ 11:00 AM - 12:00 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Irina Conboy, Associate Professor of Bioengineering and Investigator/University of California, Berkeley, QB3, and The Berkeley Stem Cell Center
Talk Title: This seminar will be rescheduled for 2016.
Series: Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research at USC Distinguished Speakers Series
Host: Rong Lu
Audiences: Everyone Is Invited
Contact: Cristy Lytal/USC Stem Cell
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Iteratively Learning Data Transformation Programs from Examples
Tue, Dec 08, 2015 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Bo Wu, USC/ISI
Talk Title: Iteratively Learning Data Transformation Programs from Examples
Series: AI Seminar
Abstract: Data transformation is an essential preprocessing step in most data analysis applications. It often requires users to write many trivial and task-dependent programs. Recently, programming-by-example (PBE) approaches enable users to generate data transformation programs without coding. To correctly transform these datasets, existing PBE approaches typically require users to provide multiple examples to generate the correct transformation programs. These approaches time complexity grows exponentially with the number of examples and in a high polynomial degree with the length of the examples. Users have to wait a long time to see any response from the systems when they work on moderately complicated datasets. Moreover, existing PBE approaches also lack the support for users to verify the correctness of the transformed results.
To address the challenges, we propose an approach that generates programs iteratively, which exploits the fact that users often provide multiple examples iteratively to refine programs learned from previous iterations. We evaluated IPBE, the implementation of our iterative programming-by-example approach, against several state-of-the-art alternatives on various transformation scenarios. The results show that users of our approach used less time and achieved higher correctnesses compared to other alternative approaches.
Biography: Bo Wu is a newly graduated PhD from University of Southern California. He worked at Information Integration group at Information Science Institute. His research focuses on automatically generating data transformation programs. He received his B.S. in software engineering from Harbin Institute of Technology and his M.S. in computer science from Institute of Computing Technology, Chinese Academy of Sciences.
Host: Craig Knoblock
Location: Information Science Institute (ISI) - 1135 - 11th fl Large CR
Audiences: Everyone Is Invited
Contact: Alma Nava / Information Sciences Institute
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Six Sigma Green Belt for Process Improvement
Wed, Dec 09, 2015 @ 09:00 AM - 05:00 PM
DEN@Viterbi, Executive Education
Conferences, Lectures, & Seminars
Abstract: Learn how to integrate principles of business, statistics and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a Six Sigma green belt, you will be equipped to support and champion a Six Sigma implementation in your organization. To earn the Six Sigma Green Belt Certificate, you will be required to pass the Institute of Industrial Engineer's green belt exam (administered on the final day of the course).
This course is available on campus or online.
More Info: https://gapp.usc.edu/professional-programs/short-courses/industrial-systems/six-sigma-green-belt-process-improvement
Audiences: Registered Attendees
Contact: Viterbi Professional Programs
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Six Sigma Green Belt for Process Improvement
Thu, Dec 10, 2015 @ 09:00 AM - 05:00 PM
DEN@Viterbi, Executive Education
Conferences, Lectures, & Seminars
Abstract: Learn how to integrate principles of business, statistics and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a Six Sigma green belt, you will be equipped to support and champion a Six Sigma implementation in your organization. To earn the Six Sigma Green Belt Certificate, you will be required to pass the Institute of Industrial Engineer's green belt exam (administered on the final day of the course).
This course is available on campus or online.
More Info: https://gapp.usc.edu/professional-programs/short-courses/industrial-systems/six-sigma-green-belt-process-improvement
Audiences: Registered Attendees
Contact: Viterbi Professional Programs
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Communications, Networks & Systems (CommNetS) Seminar
Thu, Dec 10, 2015 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Kaushik R. Chowdhury, Northeastern University
Talk Title: Perennial and Personalized Sensing through Wireless Energy Transfer and Intra-body Networks
Series: CommNetS
Abstract: As healthcare becomes personalized, we envision an environment where sensors may continuously report physiological data from both on- and intra-body locations. How to power such sensors without battery replacement and developing low-energy, safe communication methods pose a challenge. This talk describes recent advances in designing systems and protocols for wireless charging using using RF waves for the external sensors, and the use of weak electrical currents for data transfer from implants. It explores the fundamental tradeoffs that exist between achieving high data and recharging rates, constructive mixing of radiated signals, and the promise of simultaneous transfer of data over energy. On the implant side, advances in channel modeling and topology placement strategies are discussed with experimental results on low-overhead data transfers from an embedded implant to an on-skin relay node.
Biography: Prof. Kaushik R. Chowdhury received the MS degree in computer science from the University of Cincinnati, Cincinnati, OH, in 2006, and the PhD degree from the Georgia Institute of Technology, Atlanta, in 2009. He is currently Associate Professor in the Electrical and Computer Engineering Department at Northeastern University, Boston, MA. His research interests lie in dynamic spectrum access networks, energy harvesting, and intra-body communication. He received best paper awards at the IEEE ICC conference, in 2009, '12 and '13, and ICNC conference in 2013, as well as the NSF CAREER award in 2015. He is a senior member of the IEEE and the present Chair of the IEEE Technical Committee on Simulation.
Host: Dr. Ashutosh Nayyar
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Annie Yu
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AI Seminar- Kernel Methods for Unsupervised Domain Adaptation
Fri, Dec 11, 2015 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Boqing Gong , University of Central Florida
Talk Title: Kernel Methods for Unsupervised Domain Adaptation
Series: Artificial Intelligence Seminar
Abstract: In many applications (computer vision, natural language processing, speech recognition, etc.), the curse of domain mismatch arises when the test data (of a target domain) and the training data (of some source domain(s)) come from different distributions. Thus, developing techniques for domain adaptation, i.e., generalizing models from the sources to the target, has been a pressing need. In this talk, I will describe our efforts and results on addressing this challenge.
A key observation is that domain adaptation entails discovering and leveraging latent structures in the source and the target domains. To this end, we develop kernel methods. Concretely, our kernel-based adaptation methods exploit various latent structures in the data. In this talk, I will give 3 examples: subspaces for aligning domains, landmarks for bridging the gaps between domains, and clusters by distribution similarity for identifying unknown domains. We demonstrate their effectiveness on well-benchmarked datasets and tasks. This work is conducted with my Ph.D. adviser Dr. Fei Sha and our collaborator Dr. Kristen Grauman.
Biography: Boqing Gong is an Assistant Professor in the Department of Computer Science and the Center for Research in Computer Vision at University of Central Florida. His research lies at the intersection of machine learning and computer vision, and has been focusing on domain adaptation, zero-shot/transfer learning, and visual analytics of objects, attributes, and human activities. Boqing received his Ph.D. in Computer Science from the University of Southern California in 2015, where his work was partially supported by the Viterbi School of Engineering Doctoral Fellowship. He holds a Master of Philosophy degree from the Chinese University of Hong Kong and a Bachelor of Engineering degree from the University of Science and Technology of China.
Host: Linhong Zhu
Webcast: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=26f8433757004b14aaf06c222eda19211dLocation: 11th Flr Conf Rm # 1135, Marina Del Rey
WebCast Link: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=26f8433757004b14aaf06c222eda19211d
Audiences: Everyone Is Invited
Contact: Peter Zamar
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Graph Signal Processing in the Spectral Domain: Filter Design, Denoising, and Applications
Fri, Dec 11, 2015 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Prof. Yuichi Tanaka, Tokyo University of Agriculture and Technology Tokyo, Japan
Talk Title: Graph Signal Processing in the Spectral Domain: Filter Design, Denoising, and Applications
Abstract: Graph signal processing (GSP) is an emerging field of signal and information processing. It aims to extract useful information from complex structured data. There are many potential application areas, e.g., sensor networks including IoT, smart grid, biomedical engineering, machine learning, computer vision/graphics, pattern recognition, bioinformatics, and geographic information systems. First, fundamentals of graph signal processing are briefly introduced in this talk, then some recent works on GSP in the graph spectral (graph Fourier) domain, which include wavelet/filter bank design, graph signal denoising, sensor placement in the GSP perspective, and EEG signal classification, will be presented.
Biography: Yuichi Tanaka received the B.E., M.E. and Ph.D. degrees in electrical engineering from Keio University, Yokohama, Japan, in 2003, 2005 and 2007, respectively. He was a Postdoctoral Scholar at Keio University, Yokohama, Japan, from 2007 to 2008, and supported by the Japan Society for the Promotion of Science (JSPS). From 2006 to 2008, he was also a visiting scholar at the University of California, San Diego (VideoProcessing Group supervised by Prof. T. Q. Nguyen). From 2008 to 2012, he was an Assistant Professor in the Department of Information Science, Utsunomiya University, Tochigi, Japan. Since 2012, he has been an Associate Professor in Graduate School of BASE, Tokyo University of Agriculture and Technology, Tokyo, Japan. His current research interests are in the field of multidimensional signal processing which includes: graph signal processing, image and video processing with computer vision techniques, distributed video coding, objective quality metric, and effective spatial-frequency transform design. Dr. Tanaka has been an Associate Editor of IEICE Trans. Fundamentals since 2013. Currently he is an elected member of the APSIPA Image, Video and Multimedia Technical Committee. He was a recipient of the Yasujiro Niwa Outstanding Paper Award in 2010, the TELECOM System Technology Award in 2011, and Ando Incentive Prize for the Study of Electronics in 2015. He also received APSIPA ASC 2014 Best Paper Award.
Host: Professor Antonio Ortega
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Talyia White
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Integrated Systems Seminar Series
Fri, Dec 11, 2015 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Prof. Jeyanandh Paramesh, Carnegie Mellon University
Talk Title: Ultra-wideband Millimeter-wave and Reconfigurable RF Integrated Circuits for Next Generation Communications
Series: Integrated Systems Seminar
Abstract: The demand for wireless capacity and data rates continues to grow unabated. In order to meet this demand, future communication systems will incorporate a mix of potential solutions, including reconfigurable, spectrum sharing radios in the low GHz bands, and (sub)mm-wave radios. This talk presents recent research aimed at addressing these challenges, including the design of ultra-wideband mm-wave beamformers, and their constituent circuit blocks. This talk will also present Carnegie Mellon's long-standing research on reconfigurable RF transceivers using phase-change vias, which offer reversible transformation between an extremely low on-resistance and an extremely high off-resistance, together with very low parasitic capacitance.
Biography: Dr. Jeyanandh Paramesh received the B.Tech, degree from IIT, Madras, the M.S degree from Oregon State University and the Ph.D degrees from the University of Washington, Seattle, all in Electrical Engineering. He is currently Associate Professor of Electrical and Computer Engineering at Carnegie Mellon University. He has held product development positions with Analog Devices, where he designed high-performance data converters, and Motorola where he designed analog and RF integrated circuits for cellular transceivers. From 2002 to 2004, he was with the Communications Circuit Lab, Intel where he developed multi-antenna receivers, high-efficiency power amplifiers and high-speed data converters high data-rate wireless transceivers. His research broadly addresses design and technological challenges related to RF and mixed-signal integrated circuits and systems for emerging applications.
Host: Hosted by Prof. Hossein Hashemi, Prof. Mike Chen, and Prof. Mahta Moghaddam. Organized and hosted by SungWon Chung.
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Elise Herrera-Green
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Computer Engineering Seminar
Mon, Dec 14, 2015 @ 10:30 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. David Garrett, Broadcom
Talk Title: Transmit Beamforming in WiFi (IEEE 802.11ac)
Abstract: This talk will provide an overview of Transmit Beamforming (TxBF) in the WiFi IEEE 802.11ac standard along with the potential gains with Multi-user MIMO configurations. The talk will dive into the frame structures, messages and computations required to close the TxBF link. The second part of the talk will focus on the role of High-level synthesis (HLS) in order to scale and build TxBF HW solutions over a wide range of antenna configurations (i.e. 1x1, 2x2, 3x3 and 4x4) and multiple generation of parts.
Biography: David Garrett is an Associate Technical Director in the Office of the CTO at Broadcom. He has been recognized as a Distinguished Engineer within the company, and serves on the Broadcom Foundation University STEM Committee. David began his career at Broadcom in 2007 and has worked with many different business units within Broadcom to deliver high performance, low-power digital signal processing (DSP) cores. He was a part of Beceem Communications, a wireless startup developing 802.16e WiMax chipsets. Prior to Beceem, he was with Lucent's Bell Labs Research Wireless Research Laboratory, as an expert in both forward error correction technology as well as Multiple-input Multiple Output (MIMO) wireless signal processing. He serves as a technical expert on Broadcom's internal patent review committee, and is on the organizing committee for the International Symposium on Low Power Electronics and Design (ISLPED) as the TPC Co-chair. He has 40 patents, 21 conference and journal papers, and has co-authored a book chapter on MIMO receiver design. David received a B.S. and Ph.D. in Electrical Engineering from the University of Virginia, and an M.S. from the University of Vermont.
Host: Prof. Massoud Pedram
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Annie Yu
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CANCELLED: USC Stem Cell Seminar, Keith Mostov, University of California, San Francisco
Tue, Dec 15, 2015 @ 11:00 AM - 12:00 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Keith Mostov, Professor/University of California, San Francisco
Talk Title: A molecular switch for the orientation of epithelial cell polarization
Series: Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research at USC Distinguished Speakers Series
Abstract: This seminar will be rescheduled for 2016.
Host: Toshio Miki
Audiences: Everyone Is Invited
Contact: Cristy Lytal/USC Stem Cell
