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Home  |  Institute  |  Mathematical Algorithmic Intelligence  |  AI in Society, Science, and Technology (AIS²T)  |  Interactive Optimization and Learning (IOL)

Interactive Optimization and Learning (IOL)

We are interested in Artificial Intelligence, Optimization, and Machine Learning. Located at the intersection of mathematics and computer science, our aim is to develop new methodologies (e.g., new optimization and learning algorithms), work on combining learning and decision-making, as well as design AI Systems for real-world deployment in various application contexts. For more information see group homepage: http://iol.zib.de/research/

Department: 
AI in Society, Science, and Technology (AIS²T)
Head: 
Pokutta, Prof. Dr. Sebastian

Staff:

  • Andoni, Megi
  • Bake, Thomas
  • Braun, Dr. Gábor
  • Chitranshi, Kartikeya
  • Designolle, Dr. Sébastien
  • Gelß, Dr. Patrick
  • Goel, Kashish
  • Iommazzo, Dr. Gabriele
  • Jäckle, Yves
  • Kerdreux, Dr. Thomas
  • Kiem, Aldo
  • Kim, Garam
  • Knebel, Sebastian
  • Krause, Prof. Dr. Rolf
  • Kuzinowicz, Dominik
  • Maheshwari, Vidushi
  • Mahmud, Adnan
  • Meise, Ingo
  • Mundinger, Konrad
  • Pokutta, Prof. Dr. Sebastian
  • Prause, Felix
  • Roux, Christophe
  • Sadiku, Shpresim
  • Shakibaei, Zarin
  • Sharma, Utkarsh
  • Sofranac, Boro
  • Spiegel, Dr. Christoph
  • Stengl, Steven-Marian
  • Steuer, Arwed
  • Sudhakar, Tript
  • Turan, Berkant
  • Viladrich Herrmannsdoerfer, Daniel
  • Wagner, Moritz
  • Wäldchen, Stephan
  • Walther, Prof. Dr. Andrea
  • Wirth, Elias
  • Woodstock, Dr. Zev
  • Zimmer, Max

Projects:

  • BerDiBa
  • WILSON-LEARN
Links: 
Homepage
  • Research
    • Solutions for Individualized Medicine
    • Molecular and Biological Processes
    • Materials and Optical Processes
    • Combinatorics and MINLP
    • MSO for Multiscale Systems
    • Robust Solutions under Uncertainty
    • Digital Humanities
    • Efficient Infrastructure and Logistics
    • Large-Scale Data Management, Curation & Analysis
    • Highly Parallel Computing
    • Scalable and Fault-Tolerant Algorithms
    • Publications
    • Books
    • Features
  • Institute
    • Research Campus MODAL
    • Intel oneAPI CoE
    • Joint Lab Optics
    • Oracle Center of Excellence
    • Organization
    • Organizational Chart
    • Committees and Regulations
    • Spin-Offs
    • Zuse Fellows
    • Konrad Zuse
    • Hall of Fame
  • Research Services
    • NHR Center at ZIB
    • Supercomputing
    • Data Archive
    • KOBV
    • BRAIN
    • Software
    • Room Reservation
    • Library
  • Members
  • Training & Outreach
    • Graduate Students
    • Scholarships
    • Lectures
    • Trainee Openings
    • Schools
    • Press
    • Public Events
    • Guided Tours
    • Alumni
    • Topics for theses
  • Contact