Upcoming Events

Keeping Current Seminars

The list of talks for the Keeping Current seminars can be found here. The talks are held most Wednesdays at 4pm throughout both the Fall and Spring semesters. See previous events.


Computer Science Colloquium

Title: Smart Usage of Wake-up Radio and Energy Harvesting for Long Lasting IoT Systems
Speaker: Dr. Stefano Basagni
Affiliation:  Northeastern University
Time: 3:00-4:00PM, Friday, October 20, 2017
Location: Theater – Davis Marksbury Building

Abstract: We will explore the impact of recent technologies on the performance of wireless networked systems that enable the Internet of Things (IoT). Specifically, we describe advances in wake-up radio technology with semantic addressing capabilities and its usage to obtain very short packet delivery delays and up to five orders of magnitude energy savings, resulting in lifetimes that are decades longer than those obtained with standard energy-conserving methods (e.g., duty cycling). We will then illustrate how combining energy harvesting from different sources (e.g., solar and wind) with wake-up radios enables perennial networked systems with performance similar to that of systems with battery-operated nodes.

Biography: Stefano Basagni holds a Ph.D. in electrical engineering from the University of Texas at Dallas (December 2001) and a Ph.D. in computer science from the University of Milano, Italy (May 1998). He received his B.Sc. degree in computer science from the University of Pisa, Italy, in 1991. Since Winter 2002 he is an associate professor at the Department of Electrical and Computer Engineering at Northeastern University, in Boston, MA. Dr. Basagni's current research interests concern research and implementation aspects of mobile networks and wireless communications systems, wireless sensor networking for IoT (underwater and terrestrial), definition and performance evaluation of network protocols and theoretical and practical aspects of distributed algorithms. Dr. Basagni has published over nine dozens of highly cited, refereed technical papers and book chapters. His h-index is currently 36. He is also co-editor of three books. Dr. Basagni served as a guest editor of multiple international ACM/IEEE, Wiley and Elsevier journals. He has been the TPC co-chair of international conferences. Dr. Basagni serves as a member of the editorial board, the organizing committee and of the technical program committee of ACM and IEEE journals and international conferences. He is a distinguished scientist of the ACM (including the ACM SIGMOBILE), a senior member of the IEEE (Computer and Communications societies), a member of ASEE (American Society for Engineering Education) and of CUR (Council for Undergraduate Education).


Computer Science Colloquium

Title: Using Human Behavior and Brain Activity to Guide Machine Learning
Speaker: Dr. Water J. Scheirer
Affiliation: University of Notre Dame
Host: Dr. Nathan Jacobs
Time: 4:00-5:00PM, Wednesday, November 1, 2017
Location: Theater – Davis Marksbury Building

Abstract: For many problems in computer vision, human learners are considerably better than machines. Human possess highly accurate internal recognition and learning mechanisms that are not yet understood, and they frequently have access to more extensive training data through a lifetime of unbiased experience with the visual world. In this talk, an advanced online psychometric testing platform will be described that makes new kinds of annotation data available for learning. Subsequently, a new technique for harnessing these new kinds of information - "perceptual annotations" - for support vector machines will be introduced. A key intuition for this approach is that while it may remain infeasible todramatically increase the amount of data and high-quality labels available for the training of a given system, measuring the exemplar-by-exemplar difficulty and pattern of errors of human annotations can provide important information for regularizing the solution of the system at hand. The talk will go on to describe a related methodology that makes use of fMRI recordings of the human brain as a guide for machine learning algorithms. The effectiveness of this approach points to a path forward for a new class of hybrid machine learning algorithms which take both inspiration and direct constraints from neuronal data.

Biography: Walter J. Scheirer, Ph.D. is an Assistant Professor in the Department of Computer Science and Engineering at the University of Notre Dame. Previously, he was a postdoctoral fellow at Harvard University, with affiliation in the School of Engineering and Applied Science, Dept. of Molecular and Cellular Biology and Center for Brain Science, and the director of research & development at Securics, Inc., an early stage company producing innovative computer vision-based solutions. He received his Ph.D. from the University of Colorado and his M.S. and B.A. degrees from Lehigh University. Dr. Scheirer has extensive experience in the areas of computer vision, machine learning and image processing. His overreaching research interest is the fundamental problem of recognition, including the representations and algorithms supporting solutions to it.


Computer Science Colloquium

Title: The Language of Goals: Facilitating cognitive partnerships between humans and machines
Speaker: Dr. Michael T. Cox
Affiliation:  Wright State Research Institute
Host: Dr. Judy Goldsmith
Time: 4:00-5:00PM, Wednesday, November 29, 2017
Location: Theater – Davis Marksbury Building

Abstract: The concept of a cognitive partnership between humans and machines remains an aspiration rather than any achievement in the artificial intelligence community. Impeding the vision of partnership is the large mismatch between the means, the representation, and the language of shared behavior and decisions. We claim that a solution lies not in the amount of data available or the level of optimization of performance, rather successful cognitive partnerships will arise from a common language of goals. We will review an approach to explainable cognitive systems that focuses on a set of common goal operations and argue that a goal-based metaphor of interaction will facilitate successful partnerships.

Biography: Dr. Michael T. Cox is director of the Collaboration and Cognition Laboratory at Wright State University (WSU), Dayton, and a Senior Research Scientist at both the Wright State Research Institute (WSRI) and at Universal Technology Corporation. He also holds a joint appointment as Research Professor in the Computer Science and Engineering Department at WSU. Dr. Cox served as a former DARPA/IPTO program manager (2008-2010) and came to WSRI from the University of Maryland Institute for Advanced Computer Studies (2010-2014). Dr. Cox is engaged in research on high-level autonomy in both humans and machines. He studies mixed-initiative computing, human-machine teaming, case-based reasoning, causal and volitional explanation, multi-strategy learning, automated planning and scheduling, and computational metareasoning. Dr. Cox was a senior computer scientist for Raytheon BBN Technologies (2005-2008) and was an assistant professor for WSU’s College of Engineering and Computer Science (1998-2004). He graduated from the Georgia Institute of Technology, Atlanta, with a BS (highest honors, 1986) and a PhD (1996), both incomputer science. Dr. Cox was a postdoctoral fellow in the School of Computer Science at Carnegie Mellon University, Pittsburgh (1996-1998).