Program

Agenda

  Tuesday, October 13 
  10–10:20amDean’s Welcome & Kick Off – Marios Papaefthymiou
  10:20–11:20am

Panel Discussion – Artificial Intelligence and Q&A
Moderator:  Paul Dourish
Erik Sudderth: AI and Data Analytics
Sameer Singh: AI and Natural Language Processing
Xiaohui Xie:  AI and Healthcare
Padhraic Smyth/Charless Fowlkes: AI and Media/Highlighting work


  11:20–11:30amBreak
  11:30–11:50amCorporate Partner Infographics
  11:50–1pmBreak
  1–5pm

Corporate Recruitment Information Sessions (ICS Students & Alumni Only)


 

Wednesday, October 14
10am–3pm Corporate Recruitment Information Sessions (ICS Students & Alumni Only)

Note: Each information session will be coordinated by our participating companies on their selected platform. Space is limited to first come first served, so please arrive when the session begins.  If the session is full, please visit another session until a spot opens during the allotted time frame (check back). We encourage you to visit as many company sessions as possible to receive value from these information sessions. Sessions may be recorded.

Speaker – Dean's Welcome

Marios Papaefthymiou

Professor of Computer Science
Ted and Janice Smith Family Foundation Dean

Marios Papaefthymiou is a professor of computer science and the Ted and Janice Smith Family Foundation Dean of the Donald Bren School of Information and Computer Sciences (ICS) at UCI. He joined UCI in 2017 as the third dean for ICS.

Before coming to UCI, Papaefthymiou was a professor of electrical engineering and computer science at the University of Michigan, where he served as chair of computer science and engineering, overseeing one of the fastest-growing and most innovative academic programs in computing across the nation. Prior to Michigan, he was on the faculty at Yale. Papaefthymiou’s research interests are in architectures and design methodologies for energy-efficient high-performance computers.

With more than 100 publications on this topic, Papaefthymiou holds 21 US and international patents on energy-efficient computing and is co-founder and chief scientist of Cyclos Semiconductor, a Michigan spin-off commercializing energy-efficiency solutions for high-end computers. His accolades include a Young Investigator Award from ARO, a CAREER award from NSF, a number of Faculty Partnership Awards from IBM and multiple best paper awards.

Papaefthymiou grew up in Athens, Greece, and studied at the National Technical University of Athens before transferring to Caltech, where he earned a bachelor’s degree in electrical engineering. He then went on to earn master’s and doctorate degrees in electrical engineering and computer science from MIT.

Speakers – AI Panel and Q&A

Paul Dourish
Moderator

Chancellor’s Professor, Informatics

Paul Dourish is Chancellor’s Professor of Informatics in the Donald Bren School of Information and Computer Sciences at UC Irvine, with courtesy appointments in Computer Science and Anthropology. He is also an Honorary Professorial Fellow in Computing and Information Systems at the University of Melbourne. His research focuses primarily on understanding information technology as a site of social and cultural production; his work combines topics in human-computer interaction, social informatics, and science and technology studies. He is the author of several books, most recently “The Stuff of Bits: An Essay on the Materialities of Information” (MIT Press, 2017). He is a Fellow of the ACM, a Fellow of the BCS, a member of the SIGCHI Academy, and a recipient of the AMIA Diana Forsythe Award and the CSCW Lasting Impact Award.

Before coming to UCI, he was a Senior Member of Research Staff in the Computer Science Laboratory of Xerox PARC; he has also held research positions at Apple Computer and at Rank Xerox EuroPARC. He holds a Ph.D. in Computer Science from University College, London, and a B.Sc. (Hons) in Artificial Intelligence and Computer Science from the University of Edinburgh.

Sameer Singh
AI and Natural Language Processing with Allen Institute

Assistant Professor of Computer Science

Sameer is working on robustness and interpretability of machine learning algorithms, along with models that reason with text and structure for natural language processing. Sameer was a postdoctoral researcher at the University of Washington and received his PhD from the University of Massachusetts, Amherst, during which he also worked at Microsoft Research, Google Research, and Yahoo! Labs. His group has received funding from Allen Institute for AI, NSF, DARPA, Adobe Research, and FICO, and published extensively at top-tier machine learning and NLP venues.

Charless-Folkes

Charless Fowlkes
AI and Media (Highlighting work with Qualcomm)

Professor and Chancellor’s Fellow of Computer Science

Charless C. Fowlkes in a Professor of Computer Science at the University of California, Irvine. He received a B.S. with honors from Caltech in 2000 and a Ph.D. in Computer Science from U.C. Berkeley in 2005. His research interests are in computer vision, in particular the integration of visual recognition and perceptual organization. He also works on biological image and shape analysis with applications to gene expression regulation in animal development.

Padhraic-Smyth​

Padhraic Smyth
AI and Media (Highlighting work with Qualcomm)

Chancellor’s Professor of Computer Science

Padhraic Smyth is a Chancellor’s Professor in the Department of Computer Science at UC Irvine, with joint appointments in the Department of Statistics and in the Department of Education. His research interests include machine learning, artificial intelligence, pattern recognition, and applied statistics and he has published over 200 papers on these topics. He is an ACM Fellow (2013), a AAAI Fellow (2010), and a recipient of the ACM SIGKDD Innovation Award (2009). He is co-author of the text Modeling the Internet and the Web: Probabilistic Methods and Algorithms (Wiley, 2003) and Principles of Data Mining (MIT Press, 2001). He served as program chair of the ACM SIGKDD 2011 conference and the UAI 2013 conference and in senior/area chair positions for conferences such as NeurIPS, ICML, and AAAI. He has also served in editorial and advisory positions for journals such as the Journal of Machine Learning Research, the Journal of the American Statistical Association, and the IEEE Transactions on Knowledge and Data Engineering.

 
Padhraic was the founding director of the UCI Center for Machine Learning and Intelligent Systems from 2007 to 2014 and founding director from 2014 to 2018 of the UCI Data Science Initiative. While at UC Irvine he has received research funding from agencies such as NSF, NIH, IARPA, NASA, NIST, ONR, and DOE, and from companies such as Google, Qualcomm, Microsoft, eBay, Adobe, IBM, SAP, Xerox, and Experian. In addition to his academic research he is also active in industry consulting, working with companies such as Toshiba, Samsung, Amazon, Oracle, Nokia, and AT&T, as well as serving as scientific advisor to local startups in Orange County. He also served as an academic advisor to Netflix for the Netflix prize competition from 2006 to 2009.
 

Padhraic grew up in Kilmovee, County Mayo, in the west of Ireland and received a first class honors degree in Electronic Engineering from National University of Ireland (Galway) in 1984, and the MSEE and PhD degrees (in 1985 and 1988 respectively) in Electrical Engineering from the California Institute of Technology. From 1988 to 1996 he was a Technical Group Leader at the Jet Propulsion Laboratory, Pasadena, and has been on the faculty at UC Irvine since 1996.

erik_sudderth

Erik Sudderth
AI and Data Analytics with SAP

Professor of Computer Science

Erik Sudderth is Professor of Computer Science and Statistics, and Chancellor’s Fellow, at the University of California, Irvine. He directs the UC Irvine Center for Machine Learning and Intelligent Systems, as well as the HPI Research Center in Machine Learning and Data Science at UC Irvine. His research interests include probabilistic graphical models and probabilistic programming, nonparametric Bayesian methods for weakly supervised learning, and applications of statistical machine learning in computer vision and the sciences. Erik was previously an Associate Professor of Computer Science at Brown University, and a postdoctoral scholar at the University of California, Berkeley. He received the Bachelor’s degree (summa cum laude, 1999) in Electrical Engineering from the University of California, San Diego, and the Master’s degree (2002) and Ph.D. degree (2006) in EECS from the Massachusetts Institute of Technology. He received an NSF CAREER award, the ISBA Mitchell Prize, and was named one of “AI’s 10 to Watch” by IEEE Intelligent Systems Magazine.

Xiahoui-Xie​

Xiaohui Xie
AI and Healthcare

Professor of Computer Science

Xiaohui Xie is a full profesor in the Department of Computer Science at UC Irvine, where he has been since 2007. He received his PhD from MIT, and completed his postdoctoral training at the Broad Institute of MIT and Harvard. He is interested in machine learning, neural networks, deep learning, and genomics. He lives in Irvine, California.

AI Panel and Q&A – Research Partners

Qualcomm

SAP

The Allen Institute

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