Teaching
Bar-Ilan University
- Advanced topics in Neural Networks (graduate): Fall 2025
- Statistical Inference (undergraduate): Spring 2026
Duke University
- Ordinary and Partial Differential Equations, Math 353, Fall 2024.
- Guest lecturer for three lessons in Topics in Mathematical Biology (MATH 612), University of British Columbia: Fall 2024.
- Math Everywhere, Math 181, Spring 2022, 2023, 2024, 2025.
- Math Everywhere course is an introduction to mathematics, among the covered topics are:
probability, error correction, cryptography, introduction to image processing,
image and text compression, artificial intelligence, voting and sharing, and set theory.
Expository talks- Machine Learning and Horizontal Diffusion Maps for High Dimensional Manifolds, Topics in Mathematical Biology, University of British Columbia, Canada, 2024.
- High Dimensional Data Similarities and Discrepancies, RTI Seminar, Duke, USA, 2022.
- Neural Network Compression and Acceleration, Intel, 2019.
- Denoising and Reconstructing Manifolds in High Dimensions, Tel Aviv University, 2019
- From High to Low Dimensional Data, Seminar in applied mathematics, Tel Aviv University, 2017
- Geometric modeling of smooth surfaces (Subdivision surface) and the relationship to computer graphics", first Israeli Women in Math Conference, Tel Aviv University, 2015.
Invited talks
2026
[69] Can we use AI to “unwind time” to reveal art’s deepest secrets? Showcase, Schmidt Sciences interdisciplinary science summit, Duke
[68] What is behind the Data? Runing a data+ program, Schmidt Sciences interdisciplinary science summit, Duke
[66] "Computerized Archeology", seminar in archeology, Bar-Ilan University
[65] “Deep thoughts on not-so-deep data: what between AI, archeology, and biblical studies”, AI Industry - Academia Summit, Where Research Meets Reality, Reichman University.
[64] “Has All of Mathematics Been Proven? Exploring Unsolved Puzzles of the Modern Era”, Duke university.
2025
[63] "Inferring Manifolds from Noisy Data: Non-Parametric Estimation and Random Walks in Shape Space”
Data Science Seminar
University of Minnesota, USA.
2024
[62] Poster: “New family of refinable functions, easily learned by Neural Networks”
SIAM Conference on Mathematics of Data Science
Atlanda, USA.
[61] “Analyzing the Geometry of Scattered Data Randomly Sampled from a Manifold”
Probability seminar
Duke University, USA.
[60] “The Power of Machine Learning: Theoretical and Practical Aspects,
Mathematics seminar
University of Pittsburgh, USA
[59] “New families of multiscale functions that are easy to learn by Neural Networks”
AMS Special Session: Harmonic Analysis, Geometric Measure Theory, and Fractals, at the Joint Mathematics Meetings
JMM 2024, San Francisco, USA.
[58] “An iterative approach to learn and correct the connection in the fibre bundle model of families of shapes.”
AMS Special Session: Computational techniques to study the geometry of the shape space, at the Joint Mathematics Meetings
JMM 2024, San Francisco, USA
[57] “The Power of Machine Learning: Theoretical and Practical Aspects"
Mathematics seminar
University of North Carolina, USA.
2023
[56] “Manifolds, and new families of multiscale functions that are easy to learn by Neural Networks”
Applied Math Seminar
Yale University, USA.
[55] "New families of multiscale functions that are easy to learn by Neural Networks"
Codes and Expansions (CodEx) Seminar
Remote (October 2023)
[54] "Reconstruction, denoising, and studying the geometry of the base manifold in high-dimension space"
Computational and Applied Mathematics Seminar
NC State University, NC, USA.
[53] "Fine registration of a collection of surfaces by studying the geometry of the base manifold"
BIRS Mathematical Methods for Exploring and Analyzing Morphological Shapes across Biological Scales, Banff International Research Station, Banff, Alberta, Canada.
[52] "Geometric Method for Manifold Approximation for High-Dimensional Noisy Scattered Data"
International Conference on Approximation Theory and Beyond, Vanderbilt University, Nashville, Tennessee, USA.
[51] "Geometric Method for Manifold Reconstruction and Nonlinear Regression for High-Dimensional Noisy Data"
SIAM Southeastern Atlantic Section Annual Meeting, Virginia Tech, US.
[50] "From Ink Traces on clay Sherds - to the Literacy Rate in the Iron Age - using Mathematical Tools"
Duke Math Summer Workshop in Mathematics (SWiM), Duke, USA.
[49] "Manifold Reconstruction and Denoising from Scattered Data in High Dimension"
Joint Mathematics Meetings (JMM), Boston, USA.
[48] "The MLOP Framework: Reconstructing a Manifold from Noisy Data in High-Dimension"
Applied Mathematics Colloquium, The University of North Carolina.
2022
[47] "From Ink Traces on clay Sherds to the Literacy Rate in the Iron Age using Mathematical Tools"
Data Dialogue, Duke, USA.
[46] "Image Quality Assessment: Learning to Rank Image Distortion Level"
Image Quality and System Performance XIX,
IS&T Electronic Imaging 2022 Symposium.
[45] "High Dimensional Data Similarities and Discrepancies"
Inverse Problems and Imaging Seminar, Duke, USA.
[44] "From Ink Traces on Clay Sherds to the Literacy Rate in the Iron Age using Mathematical Tools" Digital Humanities, Haifa University, Israel.
2021
[43] "Algorithmic Handwriting Analysis of Iron Age Documents and its Implications to the Composition of Biblical Texts"
Digital Palaeography and Hebrew/Aramaic Scribal Culture
The 2021 International Online Groningen Symposium
[42] "Reconstruction and Denoising of Low Dimensional Manifolds from High Dimensional Scattered Data"
Grad-Fac Seminar, Duke, USA.
[41] "Computerized Paleographic Investigation of Hebrew First Temple Period Ostraca"
AI&ART webinars - Alan Turing Institute
[40] "Manifold Reconstruction and Denoising from Scattered Data: A Framework and its Extensions to Several Approximation Problems in High Dimension"
Duke Math Seminar, Duke, USA.
2020
[39] "Manifold Reconstruction and Denoising from Scattered Data in High Dimension via a Generalization of L1 Median"
Mathematics for Information and Data Science Seminar, San Diego, USA.
[38] "Manifold Reconstruction and Denoising from Scattered Data in High Dimension via a Generalization of L1 Median"
Level-Set Seminar, UCLA, USA.
[37] "Small Data Analysis in the Age of Big Data: Estimating the Number of Scribes in Ancient Hebrew Inscriptions"
Data Dialogue, Duke, USA.
[36] "Computerized Paleographic Investigation of Hebrew First Temple Period Ostraca"
Kimmel Center for Archaeological Science, Weizmann Institute of Science, Israel.
2019
[35] "Writer Characterization and Identification in Short Modern and Historical Documents"
Document Engineering, Berlin, Germany.
[34] "Computerized Paleographic Investigation of Hebrew First Temple Period Ostraca"
Computational Archeology Conference, Jerusalem, Israel.
[33] "Denoising and Reconstructing Manifolds in High Dimensions"
Student seminar in applied mathematics, Tel-Aviv University, Israel.
[32] "Algorithmic Handwriting Analysis of First Temple Period Documents"
ArchAIDE Conference, Pisa, Italy.
[31] "Algorithmic Handwriting Analysis of Historical Documents and its Implications to the Composition of Biblical Texts"
WOMATH, Women in Mathematics, Tel-Aviv University, Israel.
[30] "Neural Network Compression and Acceleration"
Intel, Petah Tikva, Israel.
2018
[29] "Algorithmic Handwriting Analysis of Historical Documents and its Implications to the Composition of Biblical Texts" Applied Mathematics Seminar, Stanford, USA.
[28] "Repairing and Denoising Scattered Data for the Reconstruction of Manifolds" Numerical Analysis Seminar, A&M University, Texas, USA.
[27] "Repairing and Denoising Scattered Data for the Reconstruction of Manifolds"
Applied and Computational Mathematics Seminars, University of South Carolina, Columbia, USA.
[26] "From Jerusalem's Ophel to Kiriath-Jearim: How to Reveal Illegible Ostraca and the Level of Literacy in Judah"
ASOR Conference, Denver, USA.
[25] "Repairing and Denoising Scattered Data for the Reconstruction of Manifolds Embedded in High Dimensions"
Curves & Surfaces Conference, Arcachon, France.
[24] "Repairing and Denoising Scattered Data for the Reconstruction of Manifolds" Oberseminar, The Free University, Berlin, Germany.
[23] "An Algorithmic Approach to Study Paleo-Hebrew Inscriptions"
Technical University, Berlin, Germany.
[22] "How to Reveal Illegible Ostraca"
Jerusalem, Israel.
[21] "Iron Age Hebrew Epigraphy in the Silicon Age - An Algorithmic Approach to Study Paleo-Hebrew Inscriptions"
Computer Science Colloquium, Tel Aviv University, Israel.
[20] "Iron Age Hebrew Epigraphy in the Silicon Age - An Algorithmic Approach to Study Paleo-Hebrew Inscriptions"
PDE and Applied Mathematics Seminar, Technion, Israel.
[19] "Mathematics and Epigraphy: Arad as a Case Study"
Computer Science Colloquium, Hebrew University, Israel.
[18] "Analyzing Ancient Writings Using Applied Mathematical Tools"
Computer Science Colloquium, Ben-Gurion University, Israel.
2017
[17] "Mathematics and Epigraphy: Arad as a Case Study"
Hebrew University, Jerusalem, Israel.
[16] "From High to Low Dimensional Data"
Student Seminar in Applied Mathematics, Tel Aviv University, Israel.
[15] "Imaging and Handwriting Analysis of Biblical Period Ostraca"
Early Scripts Workshop, Tel Aviv University, Israel.
[14] "Mathematics and Epigraphy: Arad as a Case Study"
Dead Sea Scrolls Projects - Israel Antiquities Authority, Jerusalem, Israel.
2016
[13] "Algorithmic Handwriting Analysis of Judah's Military Correspondence"
Applied Math Seminar, Tel Aviv University, Israel.
[12] "Writers Separation within Tel Arad Corpus"
Israeli Police Headquarters, Forensics Department, Jerusalem, Israel.
[11] "Epigraphy in the New Era - imaging and analysis of ancient writings"
The 42nd Archaeological Conference in Israel, Tel Aviv University, Israel.
[10] "Analyzing Ancient Writings Using Applied Mathematical Tools"
Tel Aviv University, Israel.
2015
[9] "First Temple Period Hebrew Ostraca in the Silicon Age"
The Twelfth Annual Jerusalem Conference on the Digitisation of Cultural Heritage, Van Leer Institute, Jerusalem, Israel.
[8] "Subdivision schemes: methods and applications"
The First Israeli Conference on Women in Mathematics, Tel-Aviv University, Israel.
[7] "Computerized Paleography of Ancient Writings"
Intel, Petah Tikva, Israel.
2013
[6] "First Temple Period Hebrew Ostraca in the Silicon Age"
SBL 2013, Baltimore, USA.
[5] "Multispectral Imaging as a Tool to Enhance Reading of Ostraca"
ASOR 2013, Baltimore, USA.
[4] "Enhancing the Reading of Ostraca: Several Test Cases using Multispectral Imaging"
Hebrew University, Israel.
2012
[3] "Iron Age Hebrew Ostraca in the Silicon Age"
The 8th International Congress on the Archaeology of the Ancient Near East (ICAAN), Warsaw, Poland.
[2] "Computerized Paleography of Hebrew Writing from the First Temple Period"
Perspectives Workshop: Computation and Palaeography: Potentials and Limits, Dagstuhl, Germany.
[1] "Iron Age Ostraca in the Silicon Age"
People of the Ancient Near East Seminar, Tel Aviv University, Israel.