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 seminars

Business Analytics Guest Lecture: PhD Practice Talk

Friday, October 7, 2022 11:00am to 12:00pm
Pappajohn Business Building

Business Analytics Guest Lecture: Galit Shmueli

Wednesday, October 19, 2022 3:00pm to 4:00pm
Pappajohn Business Building
Galit Shmueli is a Tsing Hua Distinguished Professor at the Institute of Service Science, College of Technology Management, National Tsing Hua University, Taiwan. View her bio and the abstract for her talk, "Leveraging covariates in randomized experiments guided by causal diagram."

Business Analytics Guest Lecture: Robert Bray

Friday, October 28, 2022 11:00am to 12:00pm
Pappajohn Business Building
Robert Bray is an associate professor of operations management at Northwestern University.

Business Analytics Guest Lecture: Abhay Mishra

Friday, November 4, 2022 11:00am to 12:00pm
Pappajohn Business Building
Abhay Mishra is Associate Professor and Kingland Faculty Fellow in Business Analytics at the Debbie and Jerry Ivy College of Business at Iowa State University.

Past seminars

Business Analytics Guest Lecture: Miguel Lejeune - Drone-Network Design Queueing MINLP Model for Time-Sensitive Medical Events

Friday, September 23, 2022 11:00am to 12:00pm
Pappajohn Business Building
Miguel Lejeune is a Full Professor of Decision Sciences and of Electrical and Computer Engineering at the George Washington University. Speaker bio and abstract.

Business Analytics Guest Lecture: Jingyuan Yang - Acqui-hiring or Acqui-quitting: Data-Driven Post-M&A Turnover Prediction via a Dual-fit Model

Friday, September 16, 2022 11:00am to 12:00pm
Pappajohn Business Building
Jingyuan Yang is an assistant professor of Information Systems and Operations Management at the School of Business, George Mason University. Speaker bio and abstract.

Business Analytics Guest Lecture: David Woodruff - Computational Issues in Stochastic Programming for Management Problems

Friday, September 9, 2022 11:00am to 12:00pm
Pappajohn Business Building
David Woodruff is a professor at the University of California-Davis Graduate School Management. Speaker bio and abstract.

Business Analytics Guest Lecture: Stephen Wright - Optimization Theory and Practice

Friday, August 26, 2022 11:00am to 12:00pm
Pomerantz Center
Stephen Wright, professor of Computer Sciences at the University of Wisconsin-Madison conducts research in computational optimization and its applications to data science and many other areas of science and engineering. Speaker bio and abstract.

Prior seminars

DATE SPEAKER
March 25
11:00 a.m.-12:00 p.m.
S401 PBB
Danial Davarnia
Iowa State University
TOPIC: Solving mixed integer programs via decision diagrams (pdf)
April 1
11:00 a.m.-12:00 p.m.
Zoom
Kristin Bennett
Rensselaer Polytechnic Institute
TOPIC: AI for Health Equity (pdf)
April 8
10:00-11:00 a.m.
S121 PBB
Rahul Mazumder
MIT
TOPIC: Sparse Learning at Scale: Convex, Mixed Integer Programming, and Statistical Perspectives (pdf)
April 15
10:00-11:00 a.m.
S121 PBB
Negar Soheili
University of Illinois Chicago
TOPIC: On the Projection and Rescaling Algorithm (pdf)
April 22
11:00 a.m.-12:00 p.m.
Zoom
Paola Scaparra
University of Kent
TOPIC: How can analytics support the Sustainable Development Goals? A real-life example in Vietnam (pdf)
May 6
11:00 a.m.-12:00 p.m.
S121 PBB
Anindita Bandyopadhyay and Brianna Mueller
TOPIC: First Year PhD Presentation
July 13
11:00 a.m.-12:00 p.m.
S121 PBB
Liana van der Hagen
Rotterdam School of Management, Erasmus University
TOPIC: Machine Learning-Based Feasibility Checks for Dynamic Time Slot Management (pdf)

DATE SPEAKER
September 24
11:00 a.m.-12:00 p.m.
Emma Frejinger
Université de Montréal
TOPIC: Periodic Demand Estimation for Large-Scale Tactical Planning (pdf)
October 1
11:00 a.m.-11:55 a.m.
Abhijeet Ghoshal
University of Illinois at Urbana-Champaign
TOPIC: Preserving Degree Distributions When Sampling from Networks (pdf)
October 29
11:00 a.m.-12:00 p.m.
Hong Guo
University of Notre Dame
TOPIC: Measuring algorithmic interpretability: A human-learning-based framework and the corresponding cognitive complexity score (pdf)
November 12
11:00 a.m.-12:00 p.m.
Thiago Serra
Bucknell University
TOPIC: What Makes Neural Networks So Expressive, and What Could Make Them Smaller? Some Answers Based on Polyhedral Theory and Mixed-Integer Linear Programming (pdf)

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

DATE SPEAKER
September 25
11:00 a.m.-12:00 p.m.
Dr. Justin Goodson
St. Louis University
TOPIC: Optimal Service Time Windows
October 30
11:00 a.m.-12:00 p.m.
Sara Reed
TOPIC: Value of Autonomous Vehicles in Last-Mile Delivery on the Urban-Rural Continuum
November 6
11:00 a.m.-12:00 p.m.
Kurt Anstreicher
University of Iowa
TOPIC: Testing Copositivity via Mixed-Integer Linear Programming
November 20
11:00 a.m.-12:00 p.m.
Dr. Grani Hanasusanto
University of Texas at Austin
TOPIC: Finding Minimum Volume Circumscribing Ellipsoids Using Generalized Copositive Programming
December 4
11:00 a.m.-12:00 p.m.
Dr. Siqian Shen
University of Michigan
TOPIC: Multistage Distributionally Robust Mixed-Integer Programming with Decision-Dependent Ambiguity Sets
December 11
11:00 a.m.-12:00 p.m.
Dr. Cynthia Rudin
Duke University
TOPIC: Do Simpler Models Exist and How Can We Find Them?

DATE SPEAKER
September 6
9:30-11:00 a.m.
Marlin Ulmer
September 13
9:30-11:00 a.m.
Laura Albert
University of Wisconsin Madison
October 11
9:30-11:00 a.m.
Subodha Kumar
Temple University
October 25
9:30-11:00 a.m.
Florian Potra
University of Maryland, Baltimore County
November 1
9:30-11:00 a.m.
Wenjun Zhou
University of Tennessee Knoxville

DATE SPEAKER
March 1
9:30-11:00 a.m.
Xinshang Wang
Alibaba Group DAMO Academy
TOPIC: Inventory Balancing with Online Learning (pdf)
March 15
9:30-11:00 a.m.
Charlotte Köhler
Otto von Guericke University, Germany
TOPIC: Dynamic Flexible Time Window Pricing
April 5
9:30-11:00 a.m.
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
9:30-11:00 a.m.
Xiao Fang
University of Delaware
TOPIC: A Deep Learning Approach to Industry Classification
April 26
9:30-11:00 a.m.
Johanna Amaya Leal
Iowa State University
TOPIC: Social Costs and Districting after Disaster

DATE SPEAKER
September 14
9:30-11:00 a.m.
Peter I. Frazier
School of Operations Research and Information Engineering
Cornell University
TOPIC: Bayesian Optimization in the Tech Sector (pdf)

October 12
9:30-11:00 a.m.

Ahmed Abbasi
McIntire School of Commerce
University of Virginia
TOPIC: Finding Needles in a Haystack: Deep Learning for Rare Adverse Event Detection
November 30
9:30-11:00 a.m.
Jeff Linderoth
Department of Industrial and Systems Engineering
University of Wisconsin-Madison
TOPIC: Perspectives on Integer Programming in Sparse Optimization (pdf)
December 7
10:00-11:20 a.m.
Guanglin Xu
Institute for Mathematics and Its Applications
University of Minnesota
TOPIC: Improved Decision Rule Approximations for Multi-Stage Robust Optimization (pdf)

DATE SPEAKER

April 27
2:30–3:20 p.m.

Kyungchan Park, Yichen Ding, Vahid Eghbal Akhlaghi, and Jafar Namdar
TOPIC: First Year PhD Presentation
May 5 Jeffrey Hu
George Institute of Technology

DATE SPEAKER
September 29
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
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
1:30–3:20 p.m.
W107 PBB
INFORMS Practice Seminar
Presenters: Michael Redmond, John Rios, Amin Vahedian, and Bhupesh Shetty
November 6
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
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?"

DATE SPEAKER
July 24
3:30–4:30 p.m.
S121 PBB
Yongjia Song
Virginia Commonwealth University
August 3
3:30–4:30 p.m.
S121 PBB
Marlin Ulmer
Carl-Friedrich Gauss Department
Technische Universität Braunschweig

DATE SPEAKER
January 20
10:30–11:30 a.m.
W401 PBB
Dashun Wang
Northwestern University
TOPIC: Understanding Success in Science and Technology (pdf)
February 24
2:30–3:20 p.m.
Foster Provost
Stern School of Business, New York University
TOPIC: The Predictive Power of Massive Data about our Fine-Grained Behavior (pdf)
March 24
2:30–3:30 p.m.
Susan M. Sanchez
Naval Postgraduate School
April 7
2:30–3:30 p.m.
Maytal Saar-Tsechansky
McCombs School of Business
The University of Texas at Austin
April 14
2:30–3:30 p.m.
Garud Iyengar
Industrial Engineering and Operations Research
Columbia University
TOPIC: Linear Convergence of Stochastic Frank Wolfe Variants (pdf)
May 4
2:30–3:30 p.m.
1st-Year PhD Presentation
May 5
2:30–3:30 p.m.
Olivia Sheng
Department of Operations and Information Systems
University of Utah
September 8 or September 15
2:30–3:30 p.m.
Tom Van Woensel
School of Industrial Engineering
Eindhoven University of Technology
September 29
2:30–3:30 p.m.
Maytal Saar-Tsechansky
McCombs School of Business
The University of Texas at Austin
October 13
2:30–3:30 p.m.
Madhu Reddy
Northwestern

DATE SPEAKER
October 7
2:30–3:30 p.m.
Prof. Tianbao Yang
Department of Computer Science
University of Iowa
TOPIC: Improving the Generalization of Deep Learning (pdf)
October 21
2:30–3:30 p.m.
Zhenzhen Yan
National University of Singapore
TOPIC: Disruption Risk Mitigation in Supply Chains: The Risk Exposure Index Revisited (pdf)
October 28
2:30–3:30 p.m.
Prof. Sanvesh Srivastava
Department of Statistics and Actuarial Science
University of Iowa
TOPIC: Scalable Bayes via Barycenter in Wasserstein Space (pdf)
November 4
10:30–11:30 a.m
Prof. Aaron Clauset
University of Colorado, Boulder
TOPIC: The Ground Truth about Metadata and Community Detection in Networks (pdf)
November 11
2:30–3:30 p.m.
PhD Students
Business Analytics
TOPIC: INFORMS talk practice session