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Conferences, Lectures, & Seminars
Events for January
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CS Colloquium: Anita Sarma (U Nebraska) - Coordination in Distributed Software Development
Tue, Jan 28, 2014 @ 04:00 PM - 05:30 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Anita Sarma, U Nebraska
Talk Title: Coordination in Distributed Software Development
Series: CS Colloquium
Abstract: Distributed software development poses many challenges. One of the main factors is the complexity of technical dependencies existing in the code base, which leads to complex social-technical dependencies among developers. This social-technical complexity inevitably leads to software conflicts because of coordination problems. Recently, we have been witnessing the development of new kinds of collaborative technology, and variations on existing technologies that support new collaborative development practices. New trends in organization of distributed, collaborative work and the development of new technologies supporting it result in an intriguing interplay of people and technology, which motivates my research in supporting coordination in software development. In this talk, I will discuss coordination tools developed by my group to facilitate distributed software development. In particular I will focus on tools that help in exploring software dependencies and scheduling tasks to minimize conflicts.
Biography: Anita Sarma is an Assistant Professor at the Department of Computer Science and Engineering at the University of Nebraska, Lincoln. Previously, she was a post doctoral fellow at the School of Computer Science at Carnegie Mellon University. She holds a Ph.D. degree in Information and Computer Science from the University of California, Irvine. Her research interests are at the intersection of software engineering and computer-supported cooperative work. She seeks to understand how factors such as interdependencies among work artifacts, design erosion of the work product, and organizational culture affect coordination; and create effective coordination solutions for distributed development by identifying the kinds of information required for coordination, the means of generating and distributing such information, and ways to present it. Anita regular serves on program committees in Software Engineering conferences (ICSE, ASE, ICGSE), has been the co-chair of ICSE 2014 formal demonstration track and serves as a reviewer for TSE, TOSEM, TOCHI.
Host: Neno Medvidovic
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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CS Colloquium - Stefan Scherer (ICT): Computational Behavior Analytics for Healthcare Applications
Thu, Jan 30, 2014 @ 04:00 PM - 05:30 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Stefan Scherer, USC Institute for Creative Technologies [ICT]
Talk Title: Computational Behavior Analytics for Healthcare Applications
Series: CS Colloquium
Abstract: Computational Behavior Analytics aims to automatically identify, characterize, model, and synthesize individuals' multimodal nonverbal behavior within both human-machine as well as machine-mediated human-human interaction. The emerging technology of this field of research is relevant for a wide range of interaction applications, including the areas of healthcare and education. Exemplarily, the characterization and association of nonverbal behavior with underlying clinical conditions, such as depression or post-traumatic stress disorder (PTSD), holds transformative potential and could change treatment and help improve the healthcare systems' efficiency significantly. Within this talk I will present our recent findings of automatically assessed multimodal nonverbal behaviors indicative of depression and PTSD. In particular, we can confirm and enrich present state of the art, predominantly based on qualitative and tedious manual annotations, with automatic quantitative behavior descriptors that can assist doctors in making more informed decisions. Within this context, I will focus my talk on the characterization of a speaker's voice, utilizing both prosodic and voice quality estimates. I will discuss the integration of perceptual salience in both novel multimodal machine learning algorithms, which can leverage uncertainty in the target classes, and alternative feature extraction mechanisms, that reflect human characteristics of production and perception. To conclude the talk I will highlight complementary application areas that illustrate the integration and versatility of the presented speech technology for automatic behavior synthesis and computer assisted learning.
Biography: Stefan Scherer was born on the 28th of February 1983 in Feldkirch Austria. In July 2011, he finished his doctoral studies to receive the degree of Dr. rer. nat. from the faculty of Engineering and Computer Science at Ulm University. Scherer’s thesis, entitled “Analyzing the User’s State in HCI: From Crisp Emotions to Conversational Dispositions”, received the grade summa cum laude (i.e. with distinction). During his time as a PhD student, Scherer had the opportunity to co-supervise thesis projects of several international students, co-organize lectures and seminars, participate in the graduate school of the SFB/TRR 62 (a German Research Foundation funded project), act as the speaker of the PhD students, and work at the Advanced Telecommunications Research Institute (ATR) in Kyoto Japan in collaboration with Prof. Nick Campbell as a visiting researcher supported by the German Exchange Service (DAAD). As a postdoctoral researcher, he had the opportunity to collect experience at the internationally renowned Trinity College Dublin in Ireland. Currently, Scherer is working as Postdoctoral Research Fellow at the University of Southern California Institute for Creative Technologies under the supervision of Louis-Philippe Morency. His research fields of interest are human machine interaction, social signal processing, and affective computing.
Host: Aiichiro Nakano
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
