ICS Symposium 2019
Date: Monday, April 1
Time: 8:00 a.m.–4:00 p.m.
Location: Nittany Lion Inn
With advances in computational science, researchers are finding new solutions to major societal problems. This one-day conference, hosted by the Institute for CyberScience at Penn State, will focus on innovative computational research across a diverse set of disciplines. Come hear nationally renowned speakers and be part of the discussion.
Faculty, graduate students, industry, and representatives of funding agencies are welcome to attend. The symposium aims to connect researchers to potential industry partners, funding agencies, and collaborators.
Please contact Suzy Unger at firstname.lastname@example.org if you have any questions about the ICS Symposium.
The event will feature:
- One keynote speaker
- Six moderated discussion panels
- A moderated poster session showcasing computational and data-enabled research
We are excited to announce that Dr. Michael Franklin from the University of Chicago will be speaking at the Symposium.
Dr. Michael J. Franklin
Liew Family Chair of Computer Science
Sr. Advisor to the Provost for Computation and Data Science
University of Chicago
Security, Fairness, and Privacy of Machine Learning, coordinated by Patrick McDaniel
Panel Chair: Patrick McDaniel, Penn State
David Evans, University of Virginia
Alina Oprea, Northeastern University
Srikanth Krishnamurthy, University of California, Riverside
Science Applications of Big Data & Machine Learning, coordinated by Eric Ford
Panel Chair: TBD
Mario Juic, University of Washington
Derek Fox, Penn State
Chaopeng Shen, Penn State
Christelle Wauthier, Penn State
Social Good, coordinated by Vasant Honavar
Panel Chair: TBD
Panel Members: TBD
Law and Policy in AI Research, Use, and Application, coordinated by Anne Toomey McKenna
Panel Chair: Anne Toomey McKenna
Casey Unwin, Attorney, Central Intelligence Agency
Claire T. Gartland, Facebook Privacy & Public Policy Manager
Piyush Pandey, Deloitte & Touche LLP, Managing Director, Advisory Services
Samantha Weirman, Ph.D. Candidate, Information Sciences and Technology, Penn State
Immersive Technology, coordinated by Ping Li
Panel Chair: Ping Li, Penn State University
Alex Klippel, Penn State
Conrad Tucker, Penn State
Brad Wyble, Penn State
Timothy Brick, Penn State
Computational Materials Design & Machine Learning, coordinated by Susan Sinnott
Panel Chair: John Mauro, Penn State
Ismaila Dabo, Penn State
Elizabeth Holm, Carnegie Mellon
Adama Tandia, Corning
Krishna Rajan, University of Buffalo
ICS is excited to help showcase posters that focus on different aspects of data- or simulation-enabled research. All accepted posters received prior to March 11 will be printed free of charge on fabric, and students can keep their poster at the end of the event.
Two students will receive prizes of $750 in travel funds to a top-tier conference of choice where the students will present their work.
The poster session is open to students or faculty. If a faculty member wins, he or she can elect a student to receive the award.
- Posters: must be 48″ x 36″ (either orientation) and be uploaded as a PDF file.
- Abstracts: must use this format and be uploaded as a PDF file.
Please name your files according to this convention: Last name-Poster Title-[Abstract or Poster], e.g., Wang-Using Machine Learning to Identify Software Vulnerabilities-Abstract.pdf
Monday, March 11
If you have any questions, please contact Suzy Unger at email@example.com.
- Free for Penn State faculty, staff, and students who register and attend
- Budget information will be collected for Faculty and Staff. Charges will only occur if the registrant does not show up or cancel their registration.
- $75 for all other attendees
Location and Lodging
The Nittany Lion Inn
200 W Park Ave
State College, PA 16803
- Phone: 814-865-8500
- Email: NittanyLionInn@psu.edu
- Room block code: ICSD19A (use online or via phone)
The State College/University Park Airport (SCE) is located less than 15 minutes from the hotel, and a free shuttle is available to be scheduled for hotel guests.