Phebe Vayanos

Main Content

Outreach

In my research group, we feel that one of our core responsibilities is to help educate our communities on the many ways in which artificial intelligence, operations research, and machine learning can help solve some of the world's most pressing issues. For this reason, we take every opportunity to participate in educational activities, conferences, workshops, and panels involving diverse audiences. If you are interested in having us participate in your event, please email me at phebe.vayanos@usc.edu.

AI for Social Good

  • USC CAIS Seminar Series 2017, University of Southern California, Los Angeles, CA (Sep. 2017)

Improving medical decision-making using data, math, and computers

  • Women in STEAM Conference 2017 (invited talk), Mirman School, Los Angeles, CA (Mar. 2017)
Vayanos speaks at Mirman School Women in STEAM Conference
Vayanos speaks at Mirman School Women in STEAM Conference

Data-driven decision-making in healthcare

  • USC Bridge Faculty Luncheon Seminar (invited talk), Los Angeles, CA (Mar. 2017)
  • USC WiSE STEM Bytes Seminar (invited talk), Los Angeles, CA (Nov. 2016)




Conference Presentations & Invited Talks

Optimization and analytics for social good

  • Georgia Tech, H. Milton Stewart School of Industrial & Systems Engineering (invited talk), ISyE Special Seminar, Atlanta, GA (Nov. 2017)
  • University of Washington, Department of Industrial & Systems Engineering (invited talk), Graduate Seminar Series, Seattle, WA (Nov. 2017)

Aritifical Intelligence for social good: the case of public health

  • Workshop on Artifial Intelligence and Social Good (invited talk), Microsoft Research India, Bangalore, IN (Oct. 2017)
Vayanos speaks at Microsoft Research India Workshop on Artificial Intelligence and Social Good

Robust optimization & sequential decision-making for sustainability

  • Doctoral Consortium on Computational Sustaintability 2017 (invited talk), University of Southern California, Los Angeles, CA (Jul. 2017)
Vayanos speaks at Doctoral Consortium on Computational Sustainability 2017

Robust wait time estimation in resource allocation systems with an application to kidney allocation

  • Workshop on Distributionally Robust Optimization (invited talk), Banff International Research Station, Alberta, CN (Mar. 2018)
  • Bay Area Optimization Meeting 2017 - From Data to Decisions (invited talk), dedicated to Professor Roger J.-B. Wets on the occasion of his 80th birthday, University of California Davis, Davis, CA (May 2017)
  • INFORMS (invited talk), Houston, TX (Oct. 2017)
  • CMS Computational Management Science (invited talk), Bergamo, IT (May 2017)
  • POMS (invited talk), Seattle, WA (May 2017)
  • USC WiSE Research Symposium (invited talk), Los Angeles, CA (Mar. 2017)
  • ICCOPT (invited talk), Tokyo, JP (Aug. 2016)
  • INFORMS International Conference (invited talk), Waikoloa Village, HI (Jun. 2016)
  • SoCal OR/OM Day 2016 (invited talk), UC Irvine, Irvine, CA (May 2016)

Data-driven learning under uncertainty: an adaptive optimization perspective

  • Information and Decision Sciences, UIC College of Business (invited talk), Chicago, IL (Mar. 2015)
  • MIT Sloan Operations Management Seminar (invited talk), Cambridge, MA (Mar. 2015)
  • Industrial and Systems Engineering, USC (invited talk), Los Angeles, CA (Mar. 2015)
  • Mechanical and Industrial Engineering, University to Toronto (invited talk), Toronto, ON (Feb. 2015)
  • Operations Research & Industrial Engineering, UT-Austin (invited talk), Austin, TX (Feb. 2015)
  • Industrial and Systems Engineering, University of Florida (invited talk), Gainsville, FL (Feb. 2015)

Data-driven learning in dynamic pricing using adaptive optimization

  • INFORMS Annual Meeting (invited talk), Philadelphia, PA (Nov. 2015)
  • ISMP 2015 (invited talk), Pittsburgh, PA (Jul. 2015)
  • POMS 26th Annual Conference (invited talk), Washington D.C. (May 2015)
  • INFORMS Annual Meeting (invited talk), San Francisco, CA (Nov. 2014)
  • Department of Industrial and Systems Engineering, Lehigh University (invited talk), Bethlehem, PA (Oct. 2014)
  • Manufacturing Services & Operations Management Conference, Seattle, WA (Jun. 2014)
  • 11th Intl. Conference on Computational Management Science (invited talk), Lisbon, PT (May 2014)

Control and discovery of information in robust optimization

  • 26th European Conference on Operational Research (invited talk), Rome, IT (Jul. 2013)

Refinery optimization: blend planning under uncertainty

  • BP-MIT Conversion Research Program Technical Meeting, Boston, MA (May 2013)

Decision rules for information discovery in multi-stage stochastic programming

  • Industrial Consortium Meeting of the Centre for Process Systems Engineering (invited talk), London, UK (Dec. 2011)
  • 50th IEEE Conference on Decision and Control, Orlando, FL (Dec. 2011)
  • 8th Intl. Conference on Computational Management Science, Neuchatel, CH (Apr. 2011)

Hedging electricity swing options in incomplete markets

  • 18th IFAC World Congress, Milan, IT (Aug. 2011)
  • Industrial Consortium Meeting of the Centre for Process Systems Engineering (invited talk), London, UK (Dec. 2010)
  • 4th Intl. Conference on Computational and Financial Econometrics, London, UK (Dec. 2010)

A constraint sampling approach for multi-stage robust optimization

  • 7th Intl. Conference on Computational Management Science, Vienna, AU (Jul. 2010)