Peter J. Thomas, Zhuojun Yu, Max Kreider, Jeffrey P. Gill, Hillel J. Chiel, Yangyang Wang, Robert A. McDougal, Chris Fietkiewicz, David Corrales Marco, and Jonathan Rubin. “Principles of sensory feedback for control of rhythmic movements,” poster (in person), Computational Neuroscience annual meeting. July 16, 2023. Leipzig, Germany.

Alberto P´erez-Cervera, Boris Gutkin, Peter J. Thomas, and Benjamin Lindner. “Phase-Amplitude Reduction for Stochastic Oscillators,” talk (in person), Society for Industrial and Applied Mathematics Conference on Applications of Dynamical Systems, Portland Oregon, May 16, 2023.

Abdul-Nasah Soale, Dimension reduction and data visualization for regression with metric valued response. 16th International Conference on Computational and Methodological Statistics (CMStatistics 2023). Dec. 17, 2023.

Abdul-Nasah Soale, A concave pairwise fusion approach to multiresponse regression clustering. 6th International Conference on Econometrics and Statistics (EcoSta 2023). Aug. 1, 2023.

Abdul-Nasah Soale, Projection expectile regression for sufficient dimension reduction. International Chinese Statistical Association (ICSA) Applied Statistics Symposium. Jun. 12, 2023.

Abdul-Nasah Soale, On surrogate-assisted sufficient dimension reduction and variable selection for distributional responses. Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN. Jan. 13, 2023.

Anirban Mondal, Topic contributed speaker on Joint Statistical Meeting (JSM), Toronto, Canada
Topic: Bayesian uncertainty quantification of local volatility model, August 2023

Anirban Mondal, Invited Speaker on International Indian Statistical Association Conference, Golden, C0
Topic: Bayesian estimation of local volatility from option pricing data, June 2023

Anirban Mondal, Invited Speaker on International Chinese Statistical Association Conference, Ann-Harbor, MI
Topic: An efficient Monte Carlo algorithm for Bayesian calibration of complex computer models using emulators. June 2023

Anirban Mondal, a speaker at the uncertainty quantification and computing seminar, Department of  Mathematics, Applied Mathematics, and Statistics, Case Western Reserve University
Topic: Bayesian uncertainty quantification of local volatility model using option price data. March 2023

Elisabeth Werner, Workshop “Harmonic Analysis and Convexity” at the Banff International Research Station, Banff, Canada, “Approximation of convex bodies in Hausdorff distance by random polytopes”, November 2023

Elisabeth Werner, Quantum Information Seminar, University of Delaware, “On the geometry of
projective tensor products”, October 2023

Elisabeth Werner, Conference on Convex Geometry and Geometric Probability, Salzburg University, Salzburg, Austria, “Approximation of convex bodies in the Hausdorff distance”,September 2023

Elisabeth Werner, Convex and Discrete Geometry Workshop, Erd ̈os Center, R ́enyi Insitute, Budapest, Hungary “Extremal affine surface areas”, September 2023

Elisabeth Werner, Goethe Universit ̈at Frankfurt, Germany, “Extremal affine surface areas in a functional setting”, July 2023

Elisabeth Werner, “Convex Geometry – Analytic Aspects”, Scuola Normale Superiore di Pisa, Cortona, Italy, June 2023

Elisabeth Werner “Geometric Inequalities, Convexity and Probability”, University of Granada, Spain, June 2023,

Elisabeth Werner, “Geometric Valuation Theory – from convex sets to functions”, CIEM, Castro Urdiales, Spain “Extremal affine surface areas in a functional setting”, June 2023

Elisabeth Werner, AMS special session meeting “High-dimensional Convexity and Probability”,
Atlanta GA, “Extremal affine surface areas in a functional setting”, March 2023

Elisabeth Werner, AGA seminar (virtual) talk, “Spherical convex hull of random points on a wedge”, April 2023

Elisabeth Werner, Syracuse University, “On the Lp Brunn Minkowski theory”, March 2023

Longhua Zhao,  AMS 2023 Fall Eastern Sectional Meeting, University at Buffalo (SUNY), Buffalo, NY, September 9-10, 2023

Longhua Zhao, AMS 2023 Spring Central Sectional Meeting, University of Cincinnati, Cincinnati, OH, April 15-16, 2023

Anuj Abhishek, Statistical Inverse Problems in Medical Imaging. AMS Fall Eastern Sectional Meeting, 2023 (SUNY Buffalo)

Anuj Abhishek, A Bayesian level-set inversion method for simultaneous reconstruction of absorption and diffusion coefficients in diffuse optical tomography: Workshop on Tomographic Inverse Problems: Mathematical Challenges and Novel Applications, MFO, Oberwolfach (Germany) May 2023

Jenný Brynjarsdóttir, ENAR 2023, Nashville, TN, March, 2023. “Bayesian Hierarchical models for mitochondrial DNA
data”

Jenný Brynjarsdóttir, University of Akron, Virtual Colloquium February 10, 2023. “Looking Under the Hood of Remote
Sensing Measurements of CO2”

Sakshi Arya, “Kernel Epsilon-Greedy Algorithm for Multi-Armed Bandits with Covariates” at CMStatistics, Decemeber 2023, Berlin, Germany.

Sakshi Arya, “Kernel Epsilon-Greedy Algorithm for Contextual Bandits” at the Computing and Uncertainty Analysis Seminar, Case Western Reserve University, November 2023.

Sakshi Arya, “Epsilon-Greedy Approach for Nonparametric Bandits” at JSM 2023, Toronto, Canada, August 2023.

Sakshi Arya, “Kernel Epsilon-Greedy Algorithm for Contextual Bandits” at International Indian Statistical Association Annual conference, Colarado School of Mines, June 2023.

Sakshi Arya, “Kernel Epsilon-Greedy Algorithm for Contextual Bandits” at Stochastic Modeling and Computation Statistics Seminar series, Penn State University, April 2023.

Julia Dobrosotskaya, “Data Adaptive multiscale bases inducing joint sparsity and their applications`’ UMDCP, Norbert Wiener Center, Fall Fourier Talks 2023.

Weihong Guo, “Nonnegative and Nonlocal Sparse Tensor Factorization-Based Hyperspectral Image Super-Resolution”, Association for Woman in Mathematics research symposium, Atlanta, GA, September 30, 2023.

Weihong Guo, “Interpretable Small Training Set Image Segmentation Network Originated from Multi- Grid Variational Model”, International Chinese Statistical Association Conference, Chengdu, Sichuan, China, July 1, 2023.

Weihong Guo, “Interpretable Small Training Set Image Segmentation Network Originated from Multi- Grid Variational Model”, The University of Electronic Science and Technology of China, Chengdu, Sichuan, North China University of Technology, Beijing Normal University, Peking University, Minzu University, Beijing, China

• Erkki Somersalo, Plenary speaker in the conference “Inverse Problems: Modeling and Simulation”, Malta, May 22-28, 2022
• Anirban Mondal, Joint Statistical Meeting, Washington D.C., “A Two-Stage Adaptive Metropolis Algorithm for Bayesian Calibration of Complex Computer Models”, August 2022
• Anirban Mondal, SIAM Conference in Mathematics of Data Science, San Diego, CA, “Two-Stage Adaptive Monte Carlo Algorithm for Atmospheric State Retrievals Using Surrogate Models”, September 2022
• Elisabeth Werner,  workshop “Approximation and geometry in high dimensions”, Bedlewo, Poland, “Spherical convex hull of random points on a wedge”, October 2022
• Elisabeth Werner, workshop “Harmonic Analysis Methods in Geometric Tomography”, ICERM, Brown University, “Inequalities for L_p Steiner coefficients”, September 2022
• Elisabeth Werner,  Conference “geOmetry, anaLysis & convExity”, Sevilla, Spain, “Spherical convex hull of random points on a wedge”, June 2022
• Elisabeth Werner, Phenomena in High Dimension Conference, Paris, France, “Spherical convex hull of random points on a wedge”, June 2022
• Elisabeth Werner, Canadian Mathematical Society summer meeting, Session “Advances in Operator Algebras”, “On the Geometry of Projective Tensor Products”, June 2022
• Weihong Guo, SIAM conference in Imaging Sciences, “Bayesian Learning with Uncertainty Quantification Meets Model Based Image Segmentation”,  March 2022.
• Tyler Barker, Massimiliano Pierobon, and Peter J. Thomas. “Subjective Information and Survival in a Simulated Biological System,” talk (in person), Banff International Research Station workshop 22w5155 (Mathematical Models in Biology: from Information Theory to Thermodynamics), August 9, 2022. Co-presented by PJT and MP. Video recording: https://www.birs.ca/events/2022/5-day-workshops/22w5155/videos/watch/202208091104-Thomas.html
• John Shackleton, Mick Follows, Peter J. Thomas, and Anne Willem Omta, “The Mid-Pleistocene Transition: A delayed response to an increasing positive feedback?” EGU General Assembly 2022, section NP2.4 Tipping Points in the Earth System. May 23, 2022.
• Peter J. Thomas, Frontiers in Applied & Computational Mathematics Conference. May 20, 2022. Invited talk (in person): Isochrons and Isostables for Stochastic Oscillators. https://sites.google.com/njit.edu/facm2022/home
• Abdul-Nasah Soale, A selective review of sufficient dimension reduction for multivariate response regression.
  15th International Conference on Computational and Methodological Statistics (CMStatistics 2022). Dec. 19, 2022.
• Abdul-Nasah Soale, On surrogate-assisted sufficient dimension reduction and variable selection for distributional
  responses. Department of Statistics, Ohio State University, Columbus, OH. Dec. 8, 2022.
• Abdul-Nasah Soale,  On surrogate-assisted sufficient dimension reduction and variable selection for distributional
  responses. Department of Mathematics, Applied Mathematics, and Statistics, Case Western Reserve University, Cleveland, OH. Dec. 1, 2022.
• Abdul-Nasah Soale, On projective resampling for sufficient dimension reduction with random response objects.
  Department of Statistics, University of Miami at Oxford, OH. Oct. 21, 2022.
• Abdul-Nasah Soale, General Invited Talk. On projective resampling for sufficient dimension reduction with random response objects 4th International Conference on Statistical Distributions and Applications (ICOSDA). Oct. 14, 2022.
• Abdul-Nasah Soale, Contributed Speaker. Projection expectile regression for sufficient dimension reduction. Joint Statistical Meetings (JSM 2022). Aug. 11, 2022.
• Anirban Mondal, Invited speaker on International Indian Statistical Association Conference,
  Topic: Bayesian Inference for Atmospheric CO2 Retrieval using emulators and a two-stage adaptive Monte Carlo method. December 2022
• Anirban Mondal, Mini symposium speaker for SIAM conference on Mathematics of Data Science, San Diego, CA, Topic: A Two-Stage Adaptive Monte Carlo Algorithm for Atmospheric State Retrievals Using Surrogate Models. September 2022
• Anirban Mondal, Contributed speaker on the Joint Statistical Meeting (JSM), Washington DC. Topic: A Two-Stage Adaptive Metropolis Algorithm for Bayesian Calibration of Complex Computer Models. August 2022
• Anirban Mondal, Speaker on the uncertainty quantification and computing seminar. Department of  Mathematics, Applied Mathematics, and Statistics, Case Western Reserve University
  Topic: A two-stage Adaptive Metropolis Algorithm. February 2022
• Eva Belmont, AMS Fall Western Sectional Meeting: Special session on higher topological and algebraic K-theories, October 2022
• Eva Belmont, Mittag Leffler Institute program “Higher algebraic structures”, March 2022
• Elisabeth Werner, Florida International University, “On the Lp Brunn Minkowski theory”, March 2022
• Anuj Abhishek, Bayesian estimation of parameters in a stochastic problem of Diffuse Optical Tomography: Workshop on Medical Imaging, RICAM, Linz(Austria) October 2022
• Anuj Abhishek, Adaptive nonparametric estimator in an inverse problem for Exponential Radon Transform : 10th International Converence on Inverse Problems: Modeling and Simulation, Malta, May 2022
• Anuj Abhishek, An optimal Bayesian estimator for a stochastic problem in Diffuse Optical Tomography: AMS – UT Arlington Student Chapter Meeting, April 2022.
• Anuj Abhishek, An optimal Bayesian estimator for a stochastic problem in Diffuse Optical Tomography : SIAM Conference on Imaging Sciences, March 2022
• Jenný Brynjarsdóttir, SIAM Conference on Uncertainty Quantification (UQ22), Virtual/Atlanta, CA, April, 2022
  (Minisymposium). “Model Discrepancy in CO2 Retrievals from the OCO-2 Satellite”.
• Sakshi Arya, “Kernel Epsilon-Greedy Algorithm for Contextual Bandits” at the department of statistics, University of Connecticut, October 2022.
• Sakshi Arya, “Bayesian Hierarchical Modeling of Tropical Storms and their Damage Potential: A data driven study” at SIAM student chapter, University of Texas at Arlington, April 2022.
• Daniela Calvetti, Plenary Speaker SIAM Central States Session, Stillwater OK 2022.
• Juan Orendain, Reconstructing double categories from End-Indexings. Conference on Functor Categories, Model Theory, and Constructive Category Theory. University of Almería. Almería, Spain, 2022
• Juan Orendain, Equivariant Functorial Quantum Field Theory. BIRS CMO Workshop on Mathematical and Conceptual Aspects of Quantum Theory, 2022
• Juan Orendain, Higher lattice gauge fields and cubical \omega-groupoids. Higher structures in mathematical physics seminar 2022, Fesa Gürsey center for Mathematical Physics. Turkey.
• Juan Orendain, Globularly generated double categories. Yeditepe University colloquium 2022. Yeditepe University, Turkey.