March 2024, Central-European Conference on Scientific Computing (ALGORITMY 2024), High Tatra Mountains, Slovakia - invited
February 2024, SIAM Conference on Uncertainty Quantification (UQ24), Trieste, Italy - invited
September 2023, Applied Inverse Problems (AIP), Gottingen, Germany, Oral presentation
August 2023, Industrial and Applied Mathematics (ICIAM), Tokyo, Japan, Oral presentation
June 2023, BIRS-UBCO Workshop: Leveraging Model- and Data-Driven Methods in Medical Imaging, Kelowna, Canada, Oral presentation
June 2023, FNRS Contact Group on "Wavelets and Applications" (CGWA), ULB Brussels, Belgium, Oral presentation
April 2023, Workshop on Inverse Problems, Computing and Imaging, Harbin Institute of Technology, Shenzhen, China, Oral presentation
January 2023, Numerical methods for Computed Tomography: Scientific innovations & industrial challenges, University of Bologna, Italy; Oral presentation: Statistical learning for limited-angle computed tomography: integrating data-driven techniques and theoretical guarantees
December 2022, Workshop: Inverse Problems in the Desert, New York University of Abu Dhabi, UAE; Oral presentation: Learning a regularizer for inverse problems: from Tikhonov to sparsity promotion
November 2022, Workshop: Matematica per l'Intelligenza Artificiale e il Machine Learning (UMI), Politecnico di Torino, Italy; Oral presentation: Learning the optimal regularizer for linear inverse problems
September, 2022, 1st French-Italian workshop on the Mathematics of Imaging, Vision and their Applications (MIA-MIVA), Sophia-Antipolis, France; Oral presentation: Learning the optimal Tikhonov regularizer for linear inverse problems
August, 2022, Nordic Congress of Mathematicians (NCM28), Helsinki, Finland; Oral presentation: Convex regularization in statistical inverse learning problems
June, 2022, Advanced Techniques in Optimization for Machine learning and Imaging (ATOMI), Rome, Italy; Oral presentation: Deeply learned regularization for Limited-Angle Computed Tomography
June, 2022, Third Italian Meeting on Probability and Mathematical Statistics (Bologna, Italy); Oral presentation: Generalized Tikhonov regularization for infinite-dimensional inverse problems: a statistical learning perspective
May, 2022, Inverse Problems: Modelling and Simulations, Malta; Oral presentation: Detection of cardiac ischemic regions from boundary measurement via topological gradient
April, 2022, SIAM Conference on Uncertainty Quantification (UQ22), online; Oral presentation: Learning the Optimal Tikhonov Regularization Operator for Inverse Problems
March, 2022, SIAM Conference on Imaging Science (IS22), online; Oral presentation: PsiDO-Net: A Deep Neural Network Architecture for Sparsity Promotion in Linear Inverse Problems, with an Application to Limited-Angle Tomography
December, 2021; Conference on Neural Information Processing Systems (NeurIPS), online. Poster presentation: learning the optimal Tikhonov regularizer for inverse problems
July, 2021; Conference on Mathematics of Machine Learning, Center for Interdisciplinary Research, Bielefeld University (Germany - online); Oral presentation: Learning the optimal regularizer for linear inverse problems
December, 2020; Inverse Days, University of Helsinki (Finland); Oral presentation: Randomized measurements in inverse problems
January, 2020; MATH + X Symposium on Inverse Problems and Deep Learning, Mitigating Natural Hazards, (Las Catalinas, Costa Rica); Spotlight presentation: Classic regularization theory of Inverse Problems inspires Neural Network architectures
January, 2020; Workshop: Mathematics for atmospheric-biospheric science, (Himos, Finland)
December, 2019; Inverse Days, Jyväskylä University (Finland); Oral presentation: A Convolutional Neural Networks approach for sparsity-promoting regularization in CT: theoretical results
July, 2019; Applied Inverse Problems, Grenoble (France)
June,2019; Workshop: Reconstruction Methods for Inverse Problems, BIRS (Banff, Canada); Poster: Detection of small ischemic regions from partial boundary measurements
December, 2018; Inverse Days, Aalto University (Helsinki, Finland); Presentation: Identification of conductivity inclusions in the monodomain model of the heart
June, 2018; SIAM Conference on Imaging Science, Bologna (Italy); Presentation: Detection of cardiac ischemic regions from non-invasive electrical measurements
May, 2018; Reconstruction Methods for Inverse Problems, Istituto Nazionale di Alta Matematica (Rome, Italy); Presentation: A phase-field approach to the reconstruction of ischemic regions in the monodomain model of cardiac electrophysiology
September, 2017; IMA Conference on Inverse Problems from Theory to Application, Institute for Mathematics and its Applications (Cambridge, UK); Presentation: A phase - field approach to an inverse problem related to a semilinear elliptic equation arising in cardiac electrophysiology
September, 2017; A day in Applied Mathematics II, PoliMi Student Chapter of SIAM (Milan, Italy); Presentation: Towards the identification of ischemic regions in the heart tissue: an inverse problem in cardiac electrophysiology
May, 2017; Meeting on Tomography and Applications, Politecnico di Milano (Milan, Italy); Presentation: Reconstruction of discontinuous coefficients in a semilinear parabolic equation: an inverse problem motivated by cardiac electrophysiology
March, 2017; 100 Years of the Radon Transform, RICAM (Linz, Austria); Presentation: An inverse problem related to a nonlinear parabolic equation arising in electrophysiology of the heart
November, 2023; Joint Seminar on Inverse Problems and Learning Theory (online); Convex regularization in statistical inverse learning problems
February, 2021; PRIMO Talks Series (PRIMO research group); A theoretically justified neural-network approach for sparsity promotion in linear inverse problems
July, 2020; Università di Genova (Genova); Deep neural networks for inverse problems with pseudodifferential operators: an application to limited-angle tomography
October, 2019; University of Helsinki (Helsinki); Detection of discontinuous coefficient in a nonlinear model of cardiac activity: the interplay of analysis and numerical analysis
September, 2018; Politectico di Milano (Milan); An inverse boundary value problem arising from cardiac electrophisiology
November, 2016; New York University of Abu Dhabi (Abu Dhabi); An inverse problem related to a nonlinear elliptic equation arising in electrophysiology of the heart