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Prof. Dr. Kevin Tierney
Contact
1. Faculty of Business Administration and Economics / Lehrstuhl für BWL, Decision and Operation Technologies
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Chair holder
- kevin.tierney@uni-bielefeld.de
- Homepage
- Open
- Phone
- +49 521 106-3927
- Phone No. of Secretary
- +49 521 106-5100 − Secretary's Details
- Office
- UHG U9-116 − Locations Map
2. Faculty of Business Administration and Economics / Department Management Science & Business Analytics
4. Faculty of Business Administration and Economics / Institut für Technologische Innovation, Marktentwicklung und Entrepreneurship
- Homepage
- Open
- Phone
- +49 521 106-3927
- Phone No. of Secretary
- +49 521 106-6896 − Secretary's Details
6. Faculty of Business Administration and Economics / BIGSEM - Bielefeld Graduate School of Economics and Management / BIGSEM - Faculty Members
Module Designee for
- 31-M18 Profile Module Operations Management
- 31-M29 Profile Module Data Science
- 31-M38 International Module Data Science
- 31-MM14 Production and Operations Management
- 31-MM14-WiMa Production and Operations Management
- 31-MM34 Data Science in Operations Research
- 31-MM34-WiMa Data Science in Operations Research
Curriculum Vitae
2018+ Full professor for Decision and Operation Technologies, Bielefeld University
2014 - 2018 Assistant professor for Decision Support Systems and Operations Research, Paderborn University
2013 - 2014 Post-Doc, Paderborn University
2013 PhD, IT University of Copenhagen, Denmark. Topic: Optimizing Liner Shipping Fleet Repositioning Plans
2010 Sc.M. in Computer Science, Brown University, USA.
2008 B.S. in Computer Science, Rochester Institute of Technology, USA.
Current research topics
Learning to optimize
Why write methods to solve optimization problems yourself when a machine learned model can do it for you? We use machine learning techniques, such as deep reinforcement learning, to automatically learn heuristics for solving difficult optimization problems, such as routing and scheduling problems.
Optimization under uncertainty
The future is not certain, and this must be taken into account when planning decisions for the future. We are developing novel techniques to better incorporate uncertainty into optimization models and methods, with the goal of ensuring effective decisions regardless of what the future holds.
Efficient logistics and transportation
My group specializes in modeling and solving optimization problems in the areas of logistics and transportation, with a particular focus on maritime transportation. We use a wide range of techniques, ranging from mixed-integer linear programming, to constraint programming and metaheuristics. In this line of research, we work closely with industrial partners and have gained considerable expertise in developing solutions to real-world problems.
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