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Events for November 03, 2017
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Transforming Healthcare with Data
Fri, Nov 03, 2017 @ 08:00 AM - 05:00 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Various , HTE@USC
Talk Title: Transforming Healthcare with Data
Abstract: LOCATION:
Radisson Hotel Los Angeles Midtown at USC
3540 South Figueroa Street
Grand Ballroom
Los Angeles, CA 90007
This conference explores the challenges/opportunities in digital health and will bring together healthcare professionals, data experts, civic leaders, and entrepreneurs to discuss how we can use data-driven solutions and digital technology to improve quality of care.
Tickets and RSVP here https://www.healthdata17.com
Biography: Dr. Sanger, MD, PhD is the opening speaker at 9:00am!
Dr. Sanger is the David L. Lee and Simon Ramo Chair in Health Science and Technology at USC, a provost associate professor of biomedical engineering, neurology and biokinesiology at USC's Viterbi School of Engineering and USC's Keck School of Medicine. Sanger also is an electrical engineer, computational neuroscientist and child neurologist at CHLA.
and
Dr. George Tolomiczenko, Ph.D., M.P.H., M.B.A. an expert in interdisciplinary academic programs, digital health, healthcare innovation and healthcare entrepreneurship is speaking from 4:50pm - 5:30pm.
Host: HTE@USC
More Info: https://www.healthdata17.com
Audiences: Everyone Is Invited
Contact: Nadine Afari
Event Link: https://www.healthdata17.com
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Community College Counselor Conference
Fri, Nov 03, 2017 @ 08:30 AM - 02:00 PM
Viterbi School of Engineering Undergraduate Admission
Receptions & Special Events
This full-day program will introduce college counselors, independent counselors and CBOs that serve transfer students, to USC's transfer admission and financial aid practices and include: presentations by several of our academic units; tours of campus; and a luncheon with USC admission, financial aid and academic unit representatives.
RSVP Here
Location: Town & Gown (TGF) -
Audiences: Everyone Is Invited
Contact: Viterbi Admission
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Ming Hsieh Institute Seminar Series on Integrated Systems
Fri, Nov 03, 2017 @ 10:30 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Jane Gu, Associate Professor, University of California, Davis
Talk Title: Phase Noise Filter for LO Phase Noise Suppression
Host: Profs. Hossein Hashemi, Mike Chen, Mahta Moghaddam, and Dina El-Damak
More Information: MHI Seminar Series IS - Jane Gu.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Jenny Lin
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W.V.T. RUSCH ENGINEERING HONORS COLLOQUIUM
Fri, Nov 03, 2017 @ 01:00 PM - 02:00 PM
USC Viterbi School of Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Timotei Centea, Postdoctoral Fellow, Dept. of Aerospace and Mechanical Engineering, USC
Talk Title: Advanced Manufacturing of Aerospace Composite
Host: Engineering Honors Program & Dr. Prata
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Everyone Is Invited
Contact: Su Stevens
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Seminars in Biomedical Engineering
Fri, Nov 03, 2017 @ 02:00 PM - 03:00 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Shannon M. Mumenthaler, Assistant Professor of Medicine, Medicine - USC Westside Prostate Cancer Center
Talk Title: TBA
Abstract: TBA
Biography: Dr. Mumenthaler is an Assistant Professor of Research Medicine at the CAMM. She received a B.S. in Genetics from UC Davis and a Ph.D. in Cellular and Molecular Pathology from UCLA. Although her primary scientific training is in cell biology, Dr. Mumenthaler applies a unique multidisciplinary approach toward her research program, partnering with mathematicians, clinicians, and engineers to explore critical areas in cancer. Her current research interests focus on the development of tools to better understand the evolutionary dynamics of tumor progression and drug resistance with specific investigations into the influence of microenvironmental selective pressures on tumor cell behavior. Toward this goal, Dr. Mumenthaler is closely collaborating with mathematical modelers to combine novel computational platforms with diverse experimental measurements to test and refine biological hypotheses and make clinically relevant predictions.
Host: Brent Liu, PhD
Location: Corwin D. Denney Research Center (DRB) - 145A
Audiences: Everyone Is Invited
Contact: Mischalgrace Diasanta
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Munushian Speaker - Ana Claudia Arias, Friday, November 3rd at 2:00pm in EEB 132
Fri, Nov 03, 2017 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Ana Claudia Arias, University of California, Berkeley
Talk Title: Printed Flexible Wearable Medical Devices
Abstract: Wearable noninvasive medical sensing is extremely promising for monitoring human performance during physically demanding tasks. Printed sensors provide a distinct advantage over rigid sensors at establishing high-fidelity sensor-skin interfaces due to their inherently flexible material systems and form factors. Hence, these sensors are suitable for monitoring vital signs as well as analytes in bodily fluids. We have demonstrated an integrated wearable and flexible multi-sensor platform capable of simultaneous bioelectronic and biophotonic sensing of physiological state of the human body. The sensor platform is
composed of printed photoplethysmography (PPG) and sweat sensors. The PPG sensor uses blade coated red and near-infrared (NIR) organic light-emitting diodes (OLEDs) and an organic photodiode (OPD) to optically measure heart rate and blood oxygenation. The sweat sensor is comprised of printed sodium, ammonium and lactate sensors. The lactate sensor exhibits high sensitivity of 26 uA/mM cm2 with the linear detection range of 1-20 mM of lactate. The sodium and ammonium sensors exhibit near-Nernstian response with sensitivities of 60.0 +/- 4.0 mV (detection range: 1-100 mM) and 56.1 +/- 2.2mV (detection range: 0.1-100 mM) per decade of concentrations, respectively. The sensors are interfaced with a Bluetooth System on Chip for wirelessly reading out sensor data. The complete system is powered by two flexible printed batteries at 8 V and are of 40 mAh capacity. This integrated platform can provide meaningful data to the end-users or healthcare professionals stretching the application domain of wearable sensing beyond the fitness domain to medical diagnostics.
Biography: Dr. Ana Claudia Arias is a Professor at the Electrical Engineering and Computer Sciences Department at the University of California in Berkeley and a faculty director at the Berkeley Wireless Research Center (BWRC) and SWARM lab. Prior to joining the University of California she was the head of the Printed Electronic Devices Area and a Member of Research Staff at PARC, a Xerox Company, Palo Alto, CA. She went to PARC from Plastic Logic in Cambridge, UK where she led the semiconductor group. She received her PhD on semiconducting polymer blends for photovoltaic devices from the Physics Department at the University of Cambridge, UK. Prior to that, she received her master and bachelor degrees in Physics from the Federal University of Paraná in Curitiba, Brazil. Her research focuses on devices based on solution processed materials and applications development for flexible sensors and electronic systems. Ana Claudia is the chair of ThinFilm Electronics Technical Advisory Council and she is an author of over 100 peer reviewed publications and issued patents.
Host: EE-Electrophysics
More Info: minghsiehee.usc.edu/about/lectures/munushian
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
Event Link: minghsiehee.usc.edu/about/lectures/munushian
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Astani Civil and Environmental Engineering Seminar
Fri, Nov 03, 2017 @ 03:00 PM - 04:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Dan Biller,
Talk Title: TBA
Abstract: TBA
Location: Kaprielian Hall (KAP) - 146
Audiences: Everyone Is Invited
Contact: Evangeline Reyes
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Electrical Engineering Seminar
Fri, Nov 03, 2017 @ 03:00 PM - 04:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr Vincent Gripon, IMT Atlantique
Talk Title: Generalizing Convolutional Neural Networks to Graph Domains
Abstract: For the past few years, various works have aimed at tackling the problem of extending Convolutional Neural Networks (CNNs)to irregular domains. In this presentation, we propose to use graphs as an intermediate solution, thus deriving two subproblems: a) identifying a graph given a set of signals and b) defining CNN-like structures given
a graph domain. For both problems we introduce original approaches and discuss their performance.
Biography: Vincent Gripon is a permanent researcher with IMT-Atlantique (Institut Mines-Télécom), Brest, France. He obtained his M.S. from Ãcole Normale Supérieure of Cachan and his Ph.D. from Télécom Bretagne. His research interests lie at the intersection of information
theory, computer science and neural networks. He co-authored about 60 papers in the above-mentioned domains.
Host: Dr. Antonio Ortega
More Information: Vincent Gripon Seminar.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Gloria Halfacre
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NL Seminar-Structured Predictions: Practical Advancements and Applications in Natural Language Processing
Fri, Nov 03, 2017 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Kai-Wei Chang , UCLA
Talk Title: Structured Predictions: Practical Advancements and Applications in Natural Language Processing
Series: Natural Language Seminar
Abstract: Many machine learning problems involve making joint predictions over a set of mutually dependent output variables. The dependencies between output variables can be represented by a structure, such as a sequence, a tree, a clustering of nodes, or a graph. Structured prediction models have been proposed for problems of this type. In this talk, I will describe a collection of results that improve several aspects of these approaches. Our results lead to efficient and effective algorithms for learning structured prediction models, which, in turn, support weak supervision signals and improve training and evaluation speed. I will also discuss potential risks and challenges when using structured prediction models
Biography: Kai-Wei Chang is an assistant professor in the Department of Computer Science at the University of California, Los Angeles. He has published broadly in machine learning and natural language processing. His research has mainly focused on designing machine learning methods for handling large and complex data. He has been involved in developing several machine learning libraries, including LIBLINEAR, Vowpal Wabbit, and Illinois-SL. He was an assistant professor at the University of Virginia in 2016-2017. He obtained his Ph.D. from the University of Illinois at Urbana-Champaign in 2015 and was a post-doctoral researcher at Microsoft Research in 2016. Kai-Wei was awarded the EMNLP Best Long Paper Award 2017, KDD Best Paper Award 2010, and the Yahoo! Key Scientific Challenges Award 2011.
Host: Marjan Ghazvininejad and Kevin Knight
More Info: http://kwchang.net
Location: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: http://kwchang.net
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Mentoring KBBQ
Fri, Nov 03, 2017 @ 05:45 PM - 08:00 PM
Viterbi School of Engineering Student Organizations
Student Activity
Are you a mentor or mentee who loves KBBQ? Come join ASBME for some delicious KBBQ in Los Angeles! It's a great opportunity to enjoy a delicious and ~discounted~ dinner while meeting other students in the mentoring program! Spots are limited so sign up quickly!
Audiences: Everyone Is Invited
Contact: Associated Students of Biomedical Engineering
