Innovative research from guest lecturers.

High-profile researchers from within the business analytics field have been invited to present at Tippie to an audience of faculty, PhD students, and researchers from around the University of Iowa. Join us for an upcoming guest speaker as part of our series.

Upcoming

Fall 2021

September 24, 2021
11:00 a.m.-12:00 p.m.
Zoom
(contact department for link)
Emma Frejinger
Université de Montréal
TOPIC: Periodic Demand Estimation for Large-Scale Tactical Planning
October 1, 2021
11:00 a.m.-11:55 a.m.
Zoom
(contact department for link)
Abhijeet Ghoshal
University of Illinois at Urbana-Champaign
TOPIC: Preserving Degree Distributions When Sampling from Networks
October 29, 2021
11:00 a.m.-12:00 p.m.
Zoom
(contact department for link)

Hong Guo
University of Notre Dame
TOPIC: Measuring algorithmic interpretability: A human-learning-based framework and the corresponding cognitive complexity score

November 5, 2021
11:00 a.m.-12:00 p.m.
Zoom
(contact department for link)
Kristin Bennett
Rensselaer Polytechnic Institute
November 12, 2021
11:00 a.m.-12:00 p.m.
Zoom
(contact department for link)
Thiago Serra
Bucknell University

Past

Spring 2021

February 5, 2021
11:00 a.m.-12:00 p.m.
Zoom
Dr. Linwei Xin
University of Chicago
TOPIC: Multi-Item Online Order Fulfillment in a Two-Layer Network
February 12 - March 19, 2021
Zoom
Thought Leaders: Tippie Seminar Series
Join us for six talks by top researchers in business analytics
April 2, 2021
11:00 a.m.-12:00 p.m.
Zoom
Dr. Guodong (Gordon) Gao
University of Maryland
TOPIC: Friend or Foe? How Artificial Intelligence Affects Human Performance in Medical Chart Coding
April 9, 2021
11:00 a.m.-12:00 p.m.
Zoom
Business Analytics PhD Students
TOPIC: First Year Presentations
April 16, 2021
11:00 a.m.-12:00 p.m.
Zoom
Dr. Giacomo Nannicini
IBM Research
TOPIC: A Snapshot of Quantum Algorithms for Optimization
May 7, 2021
11:00 a.m.-12:00 p.m.
Zoom
Dr. Amy Ward
University of Chicago
TOPIC: Matching Impatient and Heterogeneous Demand and Supply

Fall 2020

September 25, 2020
11:00 a.m.-12:00 p.m.
Zoom

Dr. Justin Goodson
St. Louis University
TOPIC: Optimal Service Time Windows
October 30, 2020
11:00 a.m.-12:00 p.m.
Zoom
Sara Reed
TOPIC: Value of Autonomous Vehicles in Last-Mile Delivery on the Urban-Rural Continuum
November 6, 2020
11:00 a.m.-12:00 p.m.
Zoom
Kurt Anstreicher
University of Iowa
TOPIC: Testing Copositivity via Mixed-Integer Linear Programming

November 20, 2020
11:00 a.m.-12:00 p.m.
Zoom

Dr. Grani Hanasusanto
University of Texas at Austin
TOPIC: Finding Minimum Volume Circumscribing Ellipsoids Using Generalized Copositive Programming

December 4, 2020
11:00 a.m.-12:00 p.m.
Zoom

Dr. Siqian Shen
University of Michigan
TOPIC: Multistage Distributionally Robust Mixed-Integer Programming with Decision-Dependent Ambiguity Sets

December 11, 2020
11:00 a.m.-12:00 p.m.
Zoom

Dr. Cynthia Rudin
Duke University
TOPIC: Do Simpler Models Exist and How Can We Find Them?

Fall 2019

September 6, 2019
9:30-11:00 a.m.
C125 PBB
Marlin Ulmer

 

September 13, 2019
9:30-11:00 a.m.
C125 PBB

Laura Albert
University of Wisconsin Madison
 
October 11, 2019
9:30-11:00 a.m.
C125 PBB
Subodha Kumar
Temple University
 
October 25, 2019
9:30-11:00 a.m.
C125 PBB
Florian Potra
University of Maryland, Baltimore County
 

November 1, 2019
9:30-11:00 a.m.
C125 PBB

Wenjun Zhou
University of Tennessee Knoxville
 

Spring 2019

March 1, 2019
Time: 9:30-11:00 a.m.
Room: S207 PBB
Xinshang Wang
Alibaba Group DAMO Academy
TOPIC: Inventory Balancing with Online Learning

March 15, 2019
Time: 9:30-11:00 a.m.
Room: S207 PBB

Charlotte Köhler
Otto von Guericke University, Germany
TOPIC: Dynamic Flexible Time Window Pricing
April 5
Time: 9:30-11:00 a.m.
Room: S207 PBB
Kai Larsen
University of Colorado-Boulder
TOPIC: Employing Natural Language Processing and Machine Learning to Improve Psychometrics: Can we Develop a Distance Measure for Constructs in IS, Management, and Psychology?

April 19, 2019
Time: 9:30-11:00 a.m.
Room: S207 PBB

Xiao Fang
University of Delaware
TOPIC: A Deep Learning Approach to Industry Classification

April 26, 2019
Time: 9:30-11:00 a.m.
Room: S207 PBB

Johanna Amaya Leal
Iowa State University
TOPIC: Social Costs and Districting after Disaster

Fall 2018

September 14, 2018
Time: 9:30-11:00 a.m.
Room: W107 PBB
Peter I. Frazier
School of Operations Research and Information Engineering
Cornell University
TOPIC: Bayesian Optimization in the Tech Sector
October 12, 2018
Time: 9:30-11:00 a.m.
Room: W107 PBB
Ahmed Abbasi
McIntire School of Commerce
University of Virginia
TOPIC: Finding Needles in a Haystack: Deep Learning for Rare Adverse Event Detection
November 30, 2018
Time: 9:30-11:00 a.m.
Room: W107 PBB
Jeff Linderoth
Department of Industrial and Systems Engineering
University of Wisconsin-Madison
TOPIC: Perspectives on Integer Programming in Sparse Optimization
December 7, 2018
Time: 10:00-11:20 a.m.
Room: W107 a.m.
Guanglin Xu
Institute for Mathematics and Its Applications
University of Minnesota
TOPIC: Improved Decision Rule Approximations for Multi-Stage Robust Optimization

Spring 2018

April 27, 2018
2:30–3:20 p.m.
C125 PBB
Kyungchan Park, Yichen Ding, Vahid Eghbal Akhlaghi, and Jafar Namdar
TOPIC: First Year PhD Presentation
May 5, 2018
Time: TBD
Location: TBD

Jeffrey Hu
George Institute of Technology
 

Fall 2017

September 29, 2017
2:30–3:20 p.m.
C107 PBB
Maytal Saar-Tsechansky
McCombs School of Business
The University of Texas at Austin
TOPIC: "More for Less: Adaptive Labeling Payment for Online Labor Markets"

October 13, 2017
2:30–3:20 p.m.

Madhu Reddy
Northwestern University
TOPIC: "Reflecting on 15 years of research at the intersection of Human-Computer Interaction and Medical Informatics: A sociotechnical perspective on collaboration"
October 18, 2017
1:30–3:20 p.m.
W107 PBB
INFORMS Practice Seminar
Presenters: Michael Redmond, John Rios, Amin Vahedian, and Bhupesh Shetty
November 6, 2017
9:30-11:00 a.m.
W307 PBB
Patrick Fan
Virginia Tech
TOPIC: "Combining Machine Intelligence and Human Intelligence for Effective Pharmacovigilance: A Deep Learning-Based Multi-Source Feature Ensemble Approach"
December 1, 2017
9:30-11:00 a.m.
W207 PBB
Indranil Bardhan
University of Texas at Dallas
TOPIC: "Are Online Reviews of Physicians Reliable Indicators of Clinical Outcomes?"

Summer 2017

July 24, 2017
3:30–4:30 p.m.
S121 PBB
Yongjia Song
Virginia Commonwealth University

August 3, 2017
3:30–4:30 p.m.
S121 PBB

Marlin Ulmer
Carl-Friedrich Gauss Department
Technische Universität Braunschweig

Spring 2017

Jan 20, 2017
10:30–11:30 a.m.
W401 PBB
Dashun Wang
Northwestern University
TOPIC: Understanding Success in Science and Technology
Feb 24, 2017
2:30–3:20 p.m.
C125 PBB
Foster Provost
Stern School of Business, New York University
TOPIC: The Predictive Power of Massive Data about our Fine-Grained Behavior
March 24, 2017
2:30–3:30 p.m.
C125 PBB
Susan M. Sanchez
Naval Postgraduate School
April 7, 2017
2:30–3:30 p.m.
C125 PBB
Maytal Saar-Tsechansky
McCombs School of Business
The University of Texas at Austin
April 14, 2017
2:30–3:30 p.m.
C125 PBB

Garud Iyengar
Industrial Engineering and Operations Research
Columbia University
TOPIC: Linear Convergence of Stochastic Frank Wolfe Variants

May 4, 2017
2:30–3:30 p.m.
W151 PBB
1st-Year PhD Presentation
May 5, 2017
2:30–3:30 p.m.
Olivia Sheng
Department of Operations and Information Systems
University of Utah

Sept 8, 2017 or Sept 15, 2017
2:30–3:30 p.m.

Tom Van Woensel
School of Industrial Engineering
Eindhoven University of Technology

Sept 29, 2017
2:30–3:30 p.m.

Maytal Saar-Tsechansky
McCombs School of Business
The University of Texas at Austin
Oct 13, 2017
2:30–3:30 p.m.
Madhu Reddy
Northwestern

Fall 2016

Oct. 7, 2016
2:30–3:30 p.m.
C107 PBB
Prof. Tianbao Yang
Department of Computer Science
University of Iowa
TOPIC: Improving the Generalization of Deep Learning
Oct. 21, 2016
2:30–3:30 p.m.
C107 PBB
Zhenzhen Yan
National University of Singapore
TOPIC: Disruption Risk Mitigation in Supply Chains: The Risk Exposure Index Revisited
Oct. 28, 2016
2:30–3:30 p.m.
C107 PBB
Prof. Sanvesh Srivastava
Department of Statistics and Actuarial Science
University of Iowa
TOPIC: Scalable Bayes via Barycenter in Wasserstein Space
Nov. 4, 2016
10:30–11:30 a.m.
S401 PBB
Prof. Aaron Clauset
University of Colorado, Boulder
TOPIC: The Ground Truth about Metadata and Community Detection in Networks
Nov. 11, 2016
2:30–3:30 p.m.

PhD Students
Business Analytics
TOPIC: INFORMS talk practice session

 

Next Steps