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Events for November 14, 2016

  • Biomedical Engineering Speakers

    Biomedical Engineering Speakers

    Mon, Nov 14, 2016 @ 03:00 AM - 04:30 PM

    Alfred E. Mann Department of Biomedical Engineering

    Conferences, Lectures, & Seminars

    Speaker: Dr. Shuming Nie, Departments of Biomedical Engineering, Chemistry, Materials Science and Engineering, and Winship Cancer Institute, Emory University and Georgia Institute of Technology

    Talk Title: Engineering Unusual Properties on the Nanoscale: from Single-Molecule Raman Spectroscopy to Smart Molecular Imaging Probes

    Series: Biomedical Engineering Special Seminar

    Abstract: Materials on the nanometer scale such as quantum dots, plasmonic nanostructures, and polymeric nanomicelles have electronic, optical, magnetic, and structural properties that are not available from either discrete molecules or bulk materials. When conjugated with targeting ligands such as monoclonal antibodies, peptides or small molecules, these nanoparticles can be used to target malignant tumor cells and the immune microenvironments with high specificity and affinity. In the "mesoscopic" size range of 1 to 100 nm, nanoparticles also have large surface areas for conjugating to multiple diagnostic and therapeutic agents, opening new possibilities in chemical sensing, molecular imaging, and targeted therapy. Here I will discuss new strategies for engineering unusual and emergent properties that are possible only on the nanometer scale. In particular, we have developed spectrally encoded and biocompatible nanoparticles based on surface-enhanced Raman scattering (SERS) for single-molecule, single-nanoparticle, and single-cell studies under in-vivo physiological conditions. We have also developed a class of activatable or "smart" fluorescent nanoparticles with ultrahigh pH sensitivity for targeting the acidic tumor microenvironments as well as for guiding cancer surgery in real time. (Supported by NIH grants U54CA119338, RC2CA148265, R01CA108468, and R01CA163256).

    Biography: Dr. Nie is the Wallace H. Coulter Distinguished Chair Professor of Biomedical Engineering at Emory University and the Georgia Institute of Technology, Director of the Emory-Georgia Tech Cancer Nanotechnology Program, and Founding Dean of the College of Engineering and Applied Sciences of Nanjing University (China). His academic work is primarily in the areas of nanomedicine, biomolecular engineering, stimuli-responsive materials, molecular and cellular imaging, and image-guided surgery. Professor Nie has published over 300 papers, patents, and book chapters, have delivered more than 400 invited lectures around the world, and have trained over 30 doctoral students and postdoctoral fellows who are now making an impact at top academic institutions and biotech companies. His scholarly work has been cited 53,000 times with an h-index of 83 (Google Scholar). Professor Nie received his BS degree from Nankai University (China) in 1983, earned his MS and PhD degrees from Northwestern University (Evanston, Illinois, 1984-1990), and did postdoctoral research at the Georgia Institute of Technology and Stanford University (1990-1994).

    Host: Ellis Meng, PhD

    Location: Seeley G. Mudd Building (SGM) - 460

    Audiences: Everyone Is Invited

    Contact: Mischalgrace Diasanta

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  • CS Colloquium: Hal Daumé III (UMD) - Learning Language through Interaction

    Mon, Nov 14, 2016 @ 12:00 PM - 01:00 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars

    Speaker: Hal Daumé III, UMD

    Talk Title: Learning Language through Interaction

    Series: Yahoo! Labs Machine Learning Seminar Series

    Abstract: This lecture satisfies requirements for CSCI 591: Computer Science Research Colloquium. Part of Yahoo! Labs Machine Learning Seminar Series.

    Machine learning-based natural language processing systems are amazingly effective, when plentiful labeled training data exists for the task/domain of interest. Unfortunately, for broad coverage (both in task and domain) language understanding, we're unlikely to ever have sufficient labeled data, and systems must find some other way to learn. I'll describe a novel algorithm for learning from interactions, and several problems of interest, most notably machine simultaneous interpretation (translation while someone is still speaking). This is all joint work with some amazing (former) students He He, Alvin Grissom II, John Morgan, Mohit Iyyer, Sudha Rao and Leonardo Claudino, as well as colleagues Jordan Boyd-Graber, Kai-Wei Chang, John Langford, Akshay Krishnamurthy, Alekh Agarwal, Stéphane Ross, Alina Beygelzimer and Paul Mineiro.

    Biography: Hal Daume III is an associate professor in Computer Science at the University of Maryland, College Park. He holds joint appointments in UMIACS and Linguistics. He was previously an assistant professor in the School of Computing at the University of Utah. His primary research interest is in developing new learning algorithms for prototypical problems that arise in the context of language processing and artificial intelligence. This includes topics like structured prediction, domain adaptation and unsupervised learning; as well as multilingual modeling and affect analysis. He associates himself most with conferences like ACL, ICML, NIPS and EMNLP. He earned his PhD at the University of Southern California with a thesis on structured prediction for language (his advisor was Daniel Marcu). He spent the summer of 2003 working with Eric Brill in the machine learning and applied statistics group at Microsoft Research. Prior to that, he studied math (mostly logic) at Carnegie Mellon University.

    Host: Yan Liu

    Location: Seeley G. Mudd Building (SGM) - 123

    Audiences: Everyone Is Invited

    Contact: Assistant to CS chair

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  • Seminars in Biomedical Engineering

    Mon, Nov 14, 2016 @ 12:30 PM - 01:50 PM

    Alfred E. Mann Department of Biomedical Engineering

    Conferences, Lectures, & Seminars

    Speaker: Jesse Yen, PhD, USC BME Faculty

    Talk Title: Ultrasound Imaging

    Location: Olin Hall of Engineering (OHE) - 122

    Audiences: Everyone Is Invited

    Contact: Mischalgrace Diasanta

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  • Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute for Electrical Engineering Joint Seminar Series on Cyber-Physical Systems

    Mon, Nov 14, 2016 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars

    Speaker: Jyotirmoy V. Deshmukh, Principal Research Engineer , Toyota Technical Center

    Talk Title: Formal Reasoning for the Cyber-Physical Systems of Tomorrow

    Abstract: As cyberphysical systems (CPS) researchers, we are in the process of shaping human societies of tomorrow. Smart transportation infrastructures, autonomous driving cars, medical devices, avionics systems, unmanned aerial vehicles, smart agriculture are just a few examples of technologies that will have a major impact on how we will lead our lives. CPS is not just a buzzword: it truly represents a convergence of a number of separate streams of science and engineering. Today, building a smart CPS requires a deep understanding of the physical aspects of the system being controlled in addition to being able to program intelligence into the controlling software. Increasingly, such software combines sophisticated algorithms from control theory with machine learning and AI algorithms. Often, system designers also have to model the underlying communication between the physical and the cyber worlds. The result is that even the simplest closed-loop model of a CPS is very complex and typically not amenable to reasoning in a formal sense. The burning question is: how do we increase our confidence in the correctness of system-designs with such complexities when even their models are not amenable to rigorous mathematical reasoning? This talk gives some directions to tackle this problem in the setting of model-based development of CPS designs.
    Correctness of engineered systems is typically judged in an application-specific and manual fashion; a key step before we can formally reason about system correctness is to have a formalism to express correctness of the CPS being designed. We will discuss the use of logical formalisms based on real-time temporal logics as a possible requirement language for the CPS domain. The other main challenge is to automate the process of testing and finding undesirable behavior with respect to a given set of requirements. We will look at how the use of logical formalisms can greatly aid test automation and in some specific cases give formal guarantees. We will conclude by considering the data deluge problem for CPS; we will suggest techniques to learn logical patterns from time-series data to aid our understanding of the system under study.

    Biography: Jyotirmoy Deshmukh is a Principal Research Engineer at Toyota Technical Center in Gardena, California. His research interests are in requirement engineering, temporal logic, formal testing, verification, automatic synthesis and repair of systems, with special focus on cyberphysical system models. Previously, Jyotirmoy got his Ph.D. from the University of Texas at Austin, on the topic of verification of sequential and concurrent software libraries using techniques such as the theory of tree automata and static program analysis. After his Ph.D., he worked as a post-doctoral researcher as part of the Computing Innovation Fellows program at the University of Pennsylvania. His current research interest is in techniques for improving reliability of embedded control software used in cyber-physical systems.

    Host: Paul Bogdan

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

    Audiences: Everyone Is Invited

    Contact: Estela Lopez

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