Visiting Researchers:

• Stefan Kindermann (Johannes Kepler Universität Linz): Total variation regularization, G-norm
  
  
• Anton Schiela (Freie Universität Berlin): Path following in interior point methods for constrained optimal control
  
  
• Michael Kieweg (Universität Augsburg): Adaptivity in constrained optimal control
  
  
• Antoine Laurain (Université Nancy): Aspects in topology optimization
  
  
• Marrick Neri (University of the Philippines): Non-smooth optimization and BV-regularization
  
  
• Irwin Yousept (TU Berlin): Lavrentiev type regularization for state constrained boundary control problems
  
  
• Jichao Zhao (INRIA Nice): Multilevel concepts in shape optimzation
  
  
• Lin He (RICAM Linz): Inverse problems related with computational tomography and image segmentation
  
  
• Yu Xia (CORE, Université Catholique de Louvain): Constrained clustering via concavity cuts
  
  
• Michael Hinze (Hamburg University): State constrained elliptic optimal control problems
  
  
• Ronald H.W. Hoppe (Augsburg University and University of Houston): Modeling and simulation of surface acoustic wave driven microfluidic biochips
  
  
• Andreas Günther (University of Hamburg): Goal-oriented adaptivity for elliptic optimal control problems
  
  
• Thorsten Hohage (University of Göttingen): Inverse problems
  
  
• Alexey Chernov (ETH-Zürich): Nonlinear elliptic problems
  
  
• Michael Hinze (Hamburg University): Moreau-Yosida regularization in state constrained optimal control of PDEs
  
  
• Juan Carlos de los Reyes (Escuela Politecnica Nacional Quito, Ecuador): Semismooth Newton methods for variational inequalities of the second kind
  
  
• Andre Novotny (LNCC Brazil): Extended expansions in topology optimization and interaction of holes
  
  
• Jaroslav Haslinger (Charles University Prague): Recent advances for the Bernoulli problem
  
  
• Ke Chen (University of Liverpool): Multilevel algorithms for nonlinear variational imaging models
  
  
• Jiří Outrata (Czech Academy of Sciences): A direct approach to strong stationarity for elliptic MPCCs
  
  
• Massimo Fornasier (RICAM Linz): Compressive algorithms for sparse solutions of equations and inverse problems
  
  
• Chiu-Yen Kao (Ohio State University): Band gap and eigenvalue optimization, image segmentation
  
  
• Yin Zhang (Rice University, Houston): Sparse Solution Recovery via L1-minimization: Theory, Models, Algorithms
  
  
• Raymond Chan (The Chinese University of Hong Kong): A Unified Tight-frame Approach for Missing Data Recovery in Images
  
  
• Andreas Günther (Hamburg University): Interior point methods in function space for state constraints - inexact Newton and adaptivity
  
  
• Serguei Nazarov (Russian Academy of Science): The Eshelby theorem and the problem on optimization of a patch
  
  
• Heiko Andrä (ITWM Kaiserslautern): Topology optimization for castings using a level-set method
  
  
• Chiu-Yen Kao (Ohio State University): Numerical Methods for Capturing Non-Classical Shock Solutions of Modified Buckley-Leverett Equations
  
  
• Yiqiu Dong (Helmholtz Zentrum München)
  
  
• Andreas Langer (RICAM Linz): Domain Decomposition for Total Variation Minimization
  
  
• Daniel Marahrens (University of Cambridge): On the nonlinear Schrodinger equation with rotation term
  
  
• Gunay Dogan (National Institute of Standards and Technology): A fast Lagrangian algorithm for image segmentation with the Mumford-Shah functional
  
  
• Lisa Santos (University of Minho, Portugal): Quasi-variational solutions for scalar conservation laws with gradient constraint