University Seminars

Distinguished Seminars

AI & robust optimization for social good

Clemson University Distinguished Speaker Series

Part of a National Science Foundation Research Traineeship (NRT) Program grant (Nov. 2019)

University Seminars

Title TBD

ISE Seminar Series

Lehigh University, Bethlehem, PA (date TBD)

Title TBD

Seminar speaker series centered on AI and the human sciences

University of Florida (date TBD)

Title TBD

Pitt IE Seminar Series

University of Pittsburgh, Pittsburgh, PA (Nov. 2023)

Learning policies for allocating scarce housing to persons experiencing homelessness

Data Sciences Speaker Series

University of Toronto, Toronto, ON (May 2023)

Learning policies for allocating scarce housing to persons experiencing homelessness

Department of Mechanical & Industrial Engineering

University of Illinois at Chicago, Chicago, IL (Apr. 2023)

Learning policies for allocating scarce housing to persons experiencing homelessness

Cornell Tech Learning Machines Seminar

Cornell Tech, New York City, NY (Apr. 2023)

Robustness, interpretability, and fairness in analytics for social impact

Department of Industrial & Systems Engineering Colloquium Series

University of Wisconsin Madison (Sept. 2022)

Robustness, interpretability, and fairness in predictive and prescriptive analytics for social impact

Institute of Operations Research and Analytics (IORA) Seminar Series

National University of Singapore (Sep. 2022)

Robustness, interpretability, and fairness in predictive and prescriptive analytics for social impact

Department Seminar, Industrial & Systems Engineering (ISE)

University of Florida Gainesville (Mar. 2022)

Robustness, interpretability, and fairness in predictive and prescriptive analytics for social impact

Department Seminar, Industrial & Systems Engineering (ISyE)

University of Minnesota Twin-Cities (Apr. 2022)

Designing robust, interpretable, and fair social and public health interventions

Waterloo Computational Mathematics colloquium, Centre for Computational Mathematics

University of Waterloo (Nov. 2021)

Designing robust, interpretable, and fair social and public health interventions

University of Michigan Institute for Data Science (MIDAS) Seminar

University of Michigan Ann Arbor (Nov. 2021)

Towards efficient, interpretable, and fair social interventions

B’AI Global Forum at the University of Tokyo (Aug. 2021)

Integer optimization for predictive and prescriptive analytics in high stakes domains

Machine Learning NeEDS Mathematical Optimization, virtual seminar series

IMUS-Instituto de Matemáticas de la Universidad de Sevilla and CBS-Copenhagen Business School (Apr. 2021)

Designing robust, interpretable, and fair social and public health interventions

Department of Statistics and Operations Research, ISOR Colloquium

University of Vienna, virtual seminar (Apr. 2021)

Designing robust, interpretable, and fair social and public health interventions

Culverhouse College of Business, University of Alabama, virtual seminar (Mar. 2021)

Designing robust, interpretable, and fair social and public health interventions

School of Industrial and Systems Engineering

University of Oklahoma, virtual seminar (Feb. 2021)

Designing robust, interpretable, and fair social and public health interventions

Foster School of Business, Departmental Seminar

University of Washington Seattle, virtual seminar (Jan. 2021)

Active preference elicitation via adjustable robust optimization

Computational and Data Sciences guest presentation

Washington University in St. Louis, St. Louis, MO (Dec. 2020)

Active preference elicitation via adjustable robust optimization

Department of Industrial & Systems Engineering Colloquium Series

University of Wisconsin Madison (Dec. 2020)

Active preference elicitation via adjustable robust optimization

Discrete Optimization Talks (Webinar) (May 2020)

AI and robust Optimization for social good

Data for Good Seminar Series

Data Science Institute, Columbia University, NY (Oct. 2020)

Robust active preference elicitation to learn the preferences of policy-makers at the Los Angeles Homeless Services Authority

Washington University in Saint Louis, Colloquium Talk

Computer Science & Engineering, St. Louis, MO (Nov. 2019)

Robust optimization with decision-dependent information discovery: active learning of the moral priorities of policy-makers

Industrial Engineering & Management Sciences, Departmental Seminar

Northwestern University, Evanston, IL (May 2019)

Robust optimization with decision-dependent information discovery: active learning of the moral priorities of policy-makers

Industrial Engineering & Operations Research, Departmental Seminar

University of Texas, Austin, TX (May 2019)

Data-driven integer and robust optimization for scarce resource allocation

Department of Mechanical and Industrial Engineering, OR Seminar

University of Toronto, Toronto, ON (Sept. 2018)

Data-driven integer and robust optimization for scarce resource allocation

Department of Industrial Engineering & Operations Research, IEOR-DRO Seminar

Columbia University, New York, NY (Apr. 2018)

Data-driven integer and robust optimization for scarce resource allocation

Industrial and Operations Engineering, IOE Seminar

University of Michigan, Ann Arbor, MI (Apr. 2018)

Data-driven integer and robust optimization for scarce resource allocation

Guest Lecture in "AI for Social Good" seminar course at Institute for Software Research

Carnegie Mellon University, Pittsburgh, PA (Mar. 2018)

Optimization and analytics for social good

H. Milton Stewart School of Industrial & Systems Engineering, ISyE Special Seminar

Georgia Tech, Atlanta, GA (Nov. 2017)

Optimization and analytics for social good

Department of Industrial & Systems Engineering, Graduate Seminar Series

University of Washington, Seattle, WA (Nov. 2017)

AI for Social Good

USC CAIS Seminar Series 2017

University of Southern California, Los Angeles, CA (Sep. 2017)

Dynamic learning and information discovery: an adaptive optimization perspective

Department of Electrical Engineering

University of Southern California, Los Angeles, CA (Nov. 2015)

Dynamic learning and information discovery: an adaptive optimization perspective

Department of Computer Science, Teamcore Seminar

University of Southern California, Los Angeles, CA (Oct. 2015)

Data-driven learning under uncertainty: an adaptive optimization perspective

Information and Decision Sciences, UIC College of Business

University of Illinois Chicago, Chicago, IL (Mar. 2015)

Data-driven learning under uncertainty: an adaptive optimization perspective

MIT Sloan Operations Management Seminar

MIT Sloan School of Management, Cambridge, MA (Mar. 2015)

Data-driven learning under uncertainty: an adaptive optimization perspective

Amazon Seller Services, Fulfillment By Amazon, Amazon, Seattle, WA (Mar. 2015) 

Data-driven learning under uncertainty: an adaptive optimization perspective

Industrial and Systems Engineering Seminar

University of Southern California, Los Angeles, CA (Mar. 2015)

Data-driven learning under uncertainty: an adaptive optimization perspective

Mechanical and Industrial Engineering, University to Toronto, Toronto, ON (Feb. 2015)

Data-driven learning under uncertainty: an adaptive optimization perspective

Operations Research & Industrial Engineering

University of Texas at Austin, Austin, TX (Feb. 2015)

Data-driven learning under uncertainty: an adaptive optimization perspective

Industrial and Systems Engineering Seminar

University of Florida, Gainsville, FL (Feb. 2015)

Data-driven learning in dynamic pricing using adaptive optimization

Industrial and Systems Engineering, Lehigh University, Bethlehem, PA (Oct. 2014)

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

Imperial College London, UK (Dec. 2011)

Hedging electricity swing options in incomplete markets

Industrial Consortium Meeting of the Centre for Process Systems Engineering

Imperial College, London, UK (Dec. 2010)