Tentative Program:(tentative-program.pdf)





Invited Minisymposia:
Women in Inverse Problems Workshop (WiIP) at AIP

Schedule:
* Tuesday 12:00 Women in IP Luncheon
* Tuesday 13:30 Paralel session 3
* Tuesday 16:00 Paralel session 4
* Wednesday 9:50 Poster session WiIP

Summary:
Inverse Problems are at the heart of scientific research and technological development. In general, any endeavor to extract knowledge from data, can be viewed as an inverse problem. From the mathematical point of view inverse problems lie at the interface between optimization, partial differential equations, probability, and statistics. They find applications in diverse areas such as medical imaging, characterization of the Earth's interior, remote sensing, glaciology, non-destructive testing of materials, etc.

The objective of this event is to bring together women in the broad and vibrant field of Inverse Problems. Both established as well as early career researchers will come together to discuss their recent research achievements via a luncheon, a two-part minisymposium and poster session. This meeting will facilitate professional networking and create mentoring opportunities for women researchers. The ultimate goal is to help broaden female participation in research careers in particular in the field of Inverse Problems, as well as to create new research collaborations.

Organizers (IPIA diversity committee):
Elena Beretta (chair), Tatiana Bubba, Barbara Kaltenbacher, Rashmi Murthy, Noemi Petra, Carola Schönlieb, Chrysoula Tsogka

40th Anniversary of the Journal Inverse Problems (1985 - 2025)
Schedule:
* Thursday 13:30 Paralel session 5
* Thursday 16:00 Paralel session 6

Summary:
Inverse Problems (https://iopscience.iop.org/journal/0266-5611) is a peer-reviewed, broad-based interdisciplinary journal for pure and applied mathematicians and physicists produced by IOP Publishing. It combines theoretical, experimental and mathematical papers on inverse problems with numerical and practical approaches to their solution. The journal has a specialized relevance to workers in geophysics, optics, radar, acoustics, communication theory, signal processing and medical imaging.

The editor-in-chief is Otmar Scherzer at University of Vienna, Austria.

It is indexed in Applied Mechanics Reviews, INSPEC Information Services, ISI (Science Citation Index, SciSearch, ISI Alerting Services, COMPUMATH Citation Index, Current Contents/Physical, Chemical and Earth Sciences), Mathematical Reviews, Current Mathematical Publications, MathSciNet, Engineering Index/Ei Compendex, Zentralblatt MATH, and VINITI Abstracts Journal.

Accepted Minisymposia¶:
(¶) Emails with detailed instructions were sent to minisymposium organizers.

MS-01 Celebrating Diversity in Inverse Problems
(Melody Alsaker, Gonzaga University  &  Siiri Rautio, University of Helsinki)
MS-02 Young researchers in geometric inverse problems and PDEs
(Antti Kykkänen, Rice University  &  Hjørdis Schlüter, University of Jyväskylä)
MS-03 Data Assimilation for Inverse Problems
(Neil Chada, City University of Hong Kong  &  Daniel Sanz Alonso, University of Chicago)
MS-04 Integral geometry, rigidity and geometric inverse problems
(Francois Monard, UC Santa Cruz  &  Plamen Stefanov, Purdue)
MS-05 Inverse Problems for Linear PDEs
(Boya Liu, North Dakota State Univ.  &  Teemu Saksala, North Carolina State Univ.  &  Lili Yan, Univ. of Minnesota)
MS-06 Imaging using coupled physics
(Teemu Sahlström, Univ. of Eastern Finland Niko Hänninen, Univ. of Eastern Finland Tanja Tarvainen, Univ. of Eastern Finland)
MS-07 Inverse Problems for Partial Differential Equations: Advances and Applications
(Kirill Golubnichiy, Texas Tech Univ.)
MS-08 New advances in data-driven numerical algorithms for inverse problems
(Davide Bianchi, Sun Yat-sen Univ.)
MS-09 Inverse Problems in Radiative Transport
(Simon Arridge, Univ. College London  &  Liliane Barichello, Federal Univ. of Rio Grande)
MS-10 Recent advances in computational inversion
(Tatiana Bubba, Univ. of Ferrara  &  Samuli Siltanen, Univ. of Helsinki)
MS-11 XAIP: explainable algorithms for inverse problems
(Giovanni Covi, Univ. of Helsinki  &  Matti Lassas, Univ. of Helsinki  &  Siiri Rautio, Univ. of Helsinki)
MS-12 Level Set Method and Neural Networks for solving Inverse Problems
(Cong Shi, Univ. of Vienna  &  Otmar Scherzer, Univ. of Vienna  &  Thi Lan Nhi Vu, Univ. of Vienna)
MS-13 Numerical linear algebra meets nonsmooth optimization in computed tomography
(Patricio Guerrero, KU Leuven  &  Mirjeta Pasha, Virginia Tech)
MS-14 Low dimensional representations in complex imaging problems
(Elena Loli Piccolomini, Univ. of Bologna  &  Serena Morigi, Univ. of Bologna)
MS-15 Breaking free from ground truth: beyond supervised learning in inverse problems
(Tatiana Bubba, Univ. of Ferrara  &  Luca Calatroni, Univ. of Genoa  &  Luca Ratti, Univ. of Bologna  &  Matteo Santacesaria, Univ. of Genoa)
MS-16 Inverse Problems and Control Theory with Applications in Biomedicine
(Axel Osses, Universidad de Chile  &  Benjamin Palacios, Pontificia Universidad Católica de Chile)
MS-17 Fast Numerical Methods for Forward and Inverse Scattering Problems
(Carlos Borges, Univ. of Central Florida)
MS-18 Variational regularization theory and applications
(Thorsten Hohage, Uni. Göttingen, Germany Frank Werner, Uni. Würzburg)
MS-19 Convex Optimization Methods for Inverse Problems
(Dirk Lorenz, Uni. Bremen  &  Maicon Marques Alves, Federal Univ. of St. Catarina)
MS-20 Inverse Problems in Systems of Partial Differential Equations and Applications
(Alexandre Kawano, Universidade de Sao Paulo  &  Abdelmalek Zine, École Centrale de Lyon)
MS-21 Inverse Problems: PDEs and Integral Geometry
(Suman Sahoo, Indian Institute of Technology, Bombay  &  Venky Krishnan, Tata Institute of Fundamental Research, Bangalore)
MS-22 Inverse problems on Riemannian and Lorentzian manifolds
(Matti Lassas, Univ. of Helsinki  &  Jinpeng Lu, Univ. of Helsinki  &  Teemu Saksala, North Carolina State Univ.)
MS-23 Imaging with Nonlinear Waves
(Barbara Kaltenbacher,  Univ. of Klagenfurt  &  Vanja Nikolic,  Radboud Univ.)
MS-24 Learned Optimisation Methods for Inverse Problems in Imaging
(Alexander Denker, Univ. College London  &  Zeljko Kereta, Univ. College London  &  Hok Shing Wong, Univ. of Bath)
MS-25 Recent trends and advances in Imaging: Models, Methods, and Applications
(Andrea Sebastiani, Univ. of Modena  &  Giorgia Franchini, Univ. of Modena  &  Silvia Tozza, Univ. of Bologna)
MS-26 Direct and Inverse Problems Arising in Quantitative Finance
(Vinicius Albani, Federal Univ. of St. Catarina  &  Yuri Saporito, EMAp/FGV)
MS-27 Levenberg-Marquardt methods in inverse problems: theory and applications
(Douglas Gonçalves, Federal Univ. of St. Catarina  &  Fermín Bazán, Federal Univ. of St. Catarina)
MS-28 Inverse Problems in Nano-Structures: Advances in Characterization, Modeling, and Applications
(Alexandre Kawano, USP  &  Antonino Morassi, Univ. of Udine)
MS-29 Inverse Problems for Evolution Equations
(Soumen Senapati, Karlsruhe Institute of Technology  &  Arpan Mukherjee, Shenzhen MSU-BIT Univ.  &  Manmohan Vashisth, Indian Institute of Technology)
MS-30 Probabilistic Learning Methods for Inverse Problems
(Edoardo Calvello, Caltech  &  Ricardo Baptista, Caltech  &  Nikola Kovachki, NVIDIA)
MS-31 Inverse problems for multiscale heterogeneous media
(Shari Moskow, Drexel Univ.  &  Fioralba Cakoni, Rutgers Univ.)
MS-32 On novel solution methods for inverse problems
(Joel Rabelo, Federal Univ. of Piaui, Brazil Antonio Leitao, Federal Univ. of St.Catarina)
MS-33 Analysis of Inverse Problems for Partial Differential Equations
(Andrea Aspri, Universit`a degli Studi di Milano Statale  &  Eva Sincich, Universit`a degli Studi di Trieste)
MS-34 Self-Supervised Techniques in Image Reconstruction
(Jürgen Frikel, Univ. Innsbruck  &  Markus Haltmeier, Univ. Innsbruck)
MS-35 Inverse Problems and Mathematical Models for the Analysis of Astrophysical data
(Paolo Massa, Univ. of Applied Sciences and Arts Northwest Switzerland  &  Anna Maria Massone, Università di Genova)
MS-36 Inverse Problems in Healthcare, Energy, and Industrial Applications
(Aster Santana, Mip Wise  &  Fábio Ramos, Federal Univ. of Rio de Janeiro)
MS-37 Inverse Problems and Machine Learning for Digital Health and Proximity Care
(Claudio Estatico, Univ. of Genoa)
MS-38 Optimal experimental design for inverse problems and related topics
(Christian Aarset, Univ. of Göttingen  &  Barbara Kaltenbacher, Univ. of Klagenfurt  &  Tram Nguyen, Max Planck Institute for Solar System Research)

Accepted Posters^#:
(#) Emails with detailed instructions were sent to Poster organizers.

PO-01 Sequential optimal experimental design for single-pixel imaging using reinforcement learning
(Marcos Obando, Centrum Wiskunde and Informatica)
PO-02 Majorization-Minimization for sparse SVMs
(Salla-Maaria Latva-Äijö, University of Helsinki)
PO-03 Inexact Newton regularizations with uniformly convex stability terms: A unified convergence analysis
(Marco Pauleti, Karlsruhe Institute of Technology)
PO-04 A Model-informed Deep Learning Algorithm for Solving Inverse Problems
(Aravinth Krishnan Ravi, Kansas State University)
PO-05 A Regularization for Time-Fractional Backward Heat Conduction Problem with Inhomogeneous Source Function
(Vighnesh Alavani, Birla Institute of Technology and Science, Pilani)
PO-06 The L2-Optimal Discretization of Tomographic Projection Operators
(Richard Huber, Technical University of Denmark)
PO-07 Utilizing the Monte Carlo method for light transport to estimate absorption and scattering in optical tomography
(Jonna Kangasniemi,University of Eastern Finland)
PO-08 A sensitivity-based algorithm approach in reconstructing images in electrical impedance tomography
(Rose Anne Alas, University of the Philippines Diliman)
PO-09 Sensitivity analysis of the complete electrode model for electrical impedance tomography
(Arrianne Crystal Velasco, University of the Philippines Diliman)
PO-10 Simultaneous reconstruction of initial pressure and speed of sound distributions in photoacoustic tomography
(Miika Suhonen, University of Eastern Finland)
PO-11 Inverse two-sided Laplace transform in quantum many-body theory – generalized framework and numerical implementation
(Alexander Benedix Robles, Technische Universität Dresden)
PO-12 Source and boundary values control each other
(Abdelhamid Badran, Colorado State University)
PO-13 Adaptive Spectral Inversion for Eigenfunction Selection in Inverse Source Problems
(Nasrin Nikbakht, Auckland University)
PO-14 Estimating optical parameters in quantitative photoacoustic tomography utilizing Monte Carlo method for light transport
(Niko Hänninen, University of Eastern Finland)
PO-15 Stability estimates of a stochastic inverse source problem for a class of elliptic multipliers
(Lara Baalbaki, Technical University of Denmark)
PO-16 Do we need the Adjoint to Estimate Operator Norms and Differences?
(Felix Schneppe, University of Bremen)
PO-17 Effects of inertial parameters in implicit iterative methods: experiments on a nonlinear PDE parameter identification problem
(Felipe Riffel, Federal Univ. of St. Catarina)
PO-18 On gradient type projection methods for nonlinear ill-posed problems that satisfy the 'tangential cone condition'
(Antonio Andrade, Federal Univ. of St. Catarina)
PO-19 An a-posteriori criteria for choosing the Lagrange multipliers in nonstationary iterated Tikhonov method
(Juan Urueña, Federal Univ. of St. Catarina)
PO-20 Data-Proximal Neural Networks for Limited-View CT
(Jürgen Frikel, OTH Regensburg)
PO-21 The CIL Optimisation Toolkit: Open-Source Python Reconstruction software for CT and Other Inverse Problems
(Margaret Duff, Science and Technology Facilities Council, Rutherford Appleton Laboratories)
PO-22 Hybrid knowledge and data-driven approaches for Diffuse Optical Tomography reconstruction
(Alessandra Serianni, University of Milan)