Joint Mathematics Meetings 2025

Joint Mathematics Meetings AI Sessions and Events

Current as of Tuesday, October 15, 2024 03:33:30

2025 Joint Mathematics Meetings (JMM 2025)

Seattle Convention Center and the Sheraton Grand Seattle, Seattle, WA USA
January 8-11, 2025 (Wednesday - Saturday)
Meeting #1203

Associate Secretary for the AMS Scientific Program:

Brian D. Boe, brian@math.uga.edu

AI Sessions and Events

Artificial Intelligence, AI, is the official theme of this meeting. See details about this announcement from the AMS Advisory Group on Artificial Intelligence and the Mathematical Community.

Return to this location to find a consolidated list of all sessions and events related to AI happening at this meeting.

AMS Committee on Equity, Diversity and Inclusion Panel Discussion: How Can the Mathematical Community Mitigate Bias and Other Equity, Diversity, and Inclusion Issues in AI (Code: COEDIPAN)

Lily Khadjavi, Loyola Marymount University
John M. Voight, Dartmouth College
Jay-C Reyes, Center for Communications Research-La Jolla
Darryl Yong, Harvey Mudd College

AMS Committee on Publications Panel Discussion: Artificial Intelligence and Publishing (Code: AMSPAN2)

Kiran S Kedlaya, University of California San Diego
Robert M Harington, American Mathematical Society

AMS Committee on the Profession Panel Discussion: AI tools for Mathematical Reasoning: What is the Current Status, Outlook for the Future, and Impact on the Mathematics Profession? (Code: COPROFPAN)

Asamoah Nkwanta, Morgan State University
Christian Borgs, University of California Berkeley

AMS Special Session on 35th Anniversary of AI and Math, I (Code: SS1A)

Martin Charles Golumbic, University of Haifa
Frederick Hoffman, Florida Atlantic University

AMS Special Session on 35th Anniversary of AI and Math, II (Code: SS1B)

Martin Charles Golumbic, University of Haifa
Frederick Hoffman, Florida Atlantic University

AMS Special Session on Advancements in Artificial Intelligence for Data Analysis: From Creativity to Innovation, I (Code: SS2A)

Yin-Tzer Shih, National Chung Hsing University
Qin Sheng, Baylor University
Tsung-Jen Shen, Graduate Institute of Statistics, National Chung Hsing University

AMS Special Session on AI Applications in Health and Medicine (Code: SS10A)

Robyn Shuttleworth, Altos Labs
Chaitra Agrahar, Altos Labs

AMS Special Session on AI for the Working Mathematician, I (Code: SS11A)

Akshay Venkatesh, Institute for Advanced Study
Jordan S Ellenberg, University of Wisconsin-Madison
Gunnar Carlsson, Stanford University

AMS Special Session on AI meets Cryptography, I (Code: SS12A)

Kristin E. Lauter, Meta AI
Shi Bai, Florida Atlantic University
Emily Wenger, Meta AI

AMS Special Session on AI Meets Cryptography, II (Code: SS12B)

Kristin E. Lauter, Meta AI
Shi Bai, Florida Atlantic University
Emily Wenger, Meta AI

AMS Special Session on AI Meets Cryptography, III (Code: SS12C)

Kristin E. Lauter, Meta AI
Shi Bai, Florida Atlantic University
Emily Wenger, Meta AI

AMS Special Session on Artificial Intelligence Meets Computational Mathematics for Biological and Ecological Applications, I (Code: SS22A)

Md Kamrujjaman, University of Dhaka
Muhammad Mohebujjaman, University of Alabama at Birmingham
Taufiquar R Khan, University of North Carolina at Charlotte

AMS Special Session on Categorical Generalizations of Conditionalization, I (Code: SS25A)

Theodore V Theodosopoulos, Nueva School
Owen Biesel, Southern Connecticut State University
Colin McSwiggen, New York University
Michael Titelbaum, University of Wisconsin -- Madison

AMS Special Session on Categorical Generalizations of Conditionalization, II (Code: SS25B)

Theodore V Theodosopoulos, Nueva School
Owen Biesel, Southern Connecticut State University
Colin McSwiggen, New York University
Michael Titelbaum, University of Wisconsin -- Madison

AMS Special Session on Conceptual Learning in the Age of AI, I (Code: SS32A)

Qiang Sun Dotzel, University of Missouri-St. Louis
Guannan Hu, Washburn University
Lasanthi Gamage, Webster University

AMS Special Session on Conservation Laws and Boundary Value Problems in far from Equilibrium Dynamics, I (Code: SS34A)

Snezhana I. Abarzhi, California Institute of Technology
James G Glimm, State University of New York at Stony Brook

AMS Special Session on Control Theory and Artificial Intelligence, I (Code: SS35A)

Anthony Michael Bloch, University of Michigan
Mohamed Ali Belabbas, University of Illinois

AMS Special Session on Control Theory and Artificial Intelligence, II (Code: SS35B)

Anthony Michael Bloch, University of Michigan
Mohamed Ali Belabbas, University of Illinois

AMS Special Session on Generative AI for Improving Instructional Productivity, I (Code: SS54A)

Feryal Alayont, Grand Valley State University
Erich McAlister, Fort Lewis College

AMS Special Session on Generative AI for Improving Instructional Productivity, II (Code: SS54B)

Feryal Alayont, Grand Valley State University
Erich McAlister, Fort Lewis College

AMS Special Session on Geometry and Machine Learning, I (Code: SS58A)

Tingting Tang, San Diego State University
Yang-Hui He, City, University of London
Fabian Ruehle, Northeastern University
Yaim Cooper, University of Notre Dame

AMS Special Session on Machine Learning to Accelerate Mathematical Discovery, I (Code: SS70A)

Henry Kvinge, Pacific Northwest National Laboratory
Herman Chau, University of Washington
Helen Jenne, Pacific Northwest National Laboratory
Davis Richard Brown, Pacific Northwest National Laboratory
Sara C. Billey, University of Washington

AMS Special Session on Mathematical Frontiers of Data Science for National Security, I (Code: SS72A)

R W R Darling, National Security Agency
Marcus J Bishop, National Security Agency
John Anthony Emanuello, National Security Agency

AMS Special Session on Mathematical Frontiers of Data Science for National Security, II (Code: SS72B)

R W R Darling, National Security Agency
Marcus J Bishop, National Security Agency
John Anthony Emanuello, National Security Agency

AMS Special Session on Mathematics Informed by Computing, I (Code: SS76A)

David Lowry-Duda, ICERM & Brown University
Eran Assaf, Dartmouth
David L Roe, Massachusetts Institute Technology
Christelle Vincent, University of Vermont

AMS Special Session on Mathematics Informed by Computing, II (Code: SS76B)

David Lowry-Duda, ICERM & Brown University
Eran Assaf, Dartmouth
David L Roe, Massachusetts Institute Technology
Christelle Vincent, University of Vermont

AMS Special Session on Mathematics of Knowledge Graphs: Theory and Application, I (Code: SS78A)

Sinan G Aksoy, Pacific Northwest National Laboratory
Bill Kay, Pacific Northwest National Laboratory
Patrick Mackey, Pacific Northwest National Laboratory

AMS Special Session on Mathematics, AI, and the Social Context of Our Work, I (Code: SS80A)

Yaim Cooper, University of Notre Dame
Darren Byler, Simon Fraser University

AMS Special Session on Mathematics, AI, and the Social Context of Our Work, II (Code: SS80B)

Yaim Cooper, University of Notre Dame
Darren Byler, Simon Fraser University

AMS Special Session on Methods of Compassionate Math I (Code: SS119A)

Priyaa Varshinee Srinivasan, Tallinn University of Technology
Theodore V Theodosopoulos, Nueva School
Paul Dancstep, Topos Institute
Nathan Haydon, University of Waterloo

AMS Special Session on Modeling and Optimization on Graph-Structured Data, I (Code: SS81A)

Jing Qin, University of Kentucky
Weihong Guo, Case Western Reserve University
Yifei Lou, University of North Carolina at Chapel Hill

AMS Special Session on Nonlinear Algebraic Methods in Artificial Intelligence and Machine Learning, I (Code: SS88A)

Jonathan Gryak, Queens College, City University of New York

AMS Special Session on Nonlinear Algebraic Methods in Artificial Intelligence and Machine Learning, II (Code: SS88B)

Jonathan Gryak, Queens College, City University of New York

AMS Special Session on Recent Advancement in Control Theory and Applications in Artificial Intelligence, I (Code: SS95A)

Shalmali Bandyopadhyay, University of Tennessee at Martin
Bonny Banerjee, University of Memphis

AMS Special Session on Recent Advancement in Control Theory and Applications in Artificial Intelligence, II (Code: SS95B)

Shalmali Bandyopadhyay, University of Tennessee at Martin
Bonny Banerjee, University of Memphis

AMS Special Session on SoTL: Connecting Generative AI and Scholarly Inquiry to Improve Teaching and Learning, I (Code: SS108A)

Jacqueline M Dewar, Loyola Marymount University
Lewis D. Ludwig, Denison University
Curtis D. Bennett, California State University, Long Beach

AMS Special Session on The Convergence of AI, Math, and Statistics in Biomedical Research, I (Code: SS114A)

Fnu Nisha, Clemson University
Keisha Cook, Clemson University

AMS Special Session on The Convergence of AI, Math, and Statistics in Biomedical Research, II (Code: SS114B)

Fnu Nisha, Clemson University
Keisha Cook, Clemson University

AMS Special Session on Topological Machine Learning, I (Code: SS122A)

Stephen J Young, Pacific Northwest National Laboratory
Brett Jefferson, Pacific Northwest National Laboratory
Emilie Purvine, Pacific Northwest National Laboratory
Branden Stone, Georgia Tech Research Institute

AMS Special Session on Topological, Algebraic, and Geometric Methods for Safe, Robust, and Explainable Machine Learning, I (Code: SS123A)

Henry Kvinge, Pacific Northwest National Laboratory
Tegan Emerson, Pacific Northwest National Laboratory
Tim Doster, Pacific Northwest National Lab
Scott Mahan, Pacific Northwest National Laboratory
Sarah McGuire, Michigan State University

AMS Special Session on Trustworthy AI Applications Including Machine Learning, PINN, and Inverse Problems, I (Code: SS126A)

Taufiquar Khan, University of North Carolina at Charlotte
Andrew Pangia, University of North Carolina at Charlotte

AMS Special Session on Trustworthy AI Applications Including Machine Learning, PINN, and Inverse Problems, II (Code: SS126B)

Andrew Pangia, University of North Carolina at Charlotte
Taufiquar Khan, University of North Carolina at Charlotte

AMS-ASA-SIAM Special Session on Mathematics of Deep Learning: A High-Dimensional Probability Perspective, I (Code: SS77A)

Zhichao Wang, University of California San Diego
Denny Wu, New York University
Ioana Dumitriu, University of California San Diego
Tony Chiang, Pacific Northwest National Lab

AWM Panel: The Intersection of AI and Women+ in the Mathematical Sciences (Code: AWMPAN1)

Kelly McKinnie, University of Montana
Kate Petersen, University of Minnesota Duluth

JMM Panel on The Use of AI tools to Aid Mathematics Research (Code: JMMPAN6)

Ayush Khaitan, Rutgers University
Swarat Chaudhari, University of Texas at Austin
Amitayush Thakur, University of Texas at Austin

JMM Workshop on Artificial Intelligence and Game Theory: An Intersection of Theory and Applications (Code: JMMWK2)

Mark S. Lovett, Dartmouth College

JMM Workshop on Engage, Enhance, Educate: Exploring AI-Driven Teaching Strategies and Tools for Tomorrow's Math Classrooms (Code: JMMWK3)

Ruby Ellis, North Carolina State University
Jerome Zegaigbe Amedu, University of New Hampshire
Kenya Lawrence, North Carolina State University

JMM Workshop: Developing Online Mathematics Courses: Strategies to Consider (Code: JMMWK6)

Sharmila Sivalingam, Maryville University of St. Louis
Pamela Bryan Williams, Chief Strategist | Learning Design and Development Maryville University | School of Adult & Online Education

MAA Panel: AI Transformed: Navigating the New Landscape for Business, Industry, Government and Education (Code: MAAPAN1)

Mihhail Berezovski, Embry-Riddle Aeronautical University
Vinodh Kumar Chellamuthu, Utah Tech University
Thomas Philip Wakefield, Youngstown State University
Jan Rychtar, Virginia Commonwealth University

MAA Panel: Teaching and Learning Calculus in an AI World (Code: MAAPAN2)

Gail F Burrill, Michigan State University

MAA Panel: Undergraduate Research in Mathematics for Addressing the Sustainable Development Goals in the Age of AI (Code: MAAPAN3)

Vinodh Kumar Chellamuthu, Utah Tech University
Haseeb Kazi, Trine University
Lauren L Rose, Bard College
Violeta Vasilevska, Utah Valley University
Brandy S. Wiegers, College of Idaho
Cara Sulyok, Lewis University

MRC Mathematics of Adversarial, Interpretable, and Explainable AI, I (Code: SS136A)

Anna Aboud, Westmont College
Lander ver Hoef, Cooperative Institute For Research In the Atmosphere (CIRA)
Morgan Weiler, University of California, Riverside
Siddharth Vishwanath, University of California, San Diego

MRC Mathematics of Adversarial, Interpretable, and Explainable AI, II (Code: SS136B)

Kelly Lang, American Mathematical Society
Siddharth Vishwanath, University of California, San Diego
Anna Aboud, Westmont College
Lander ver Hoef, Cooperative Institute For Research In the Atmosphere (CIRA)
Morgan Weiler, University of California, Riverside

Professional Enhancement Program (PEP) 2A: Leveraging GitHub and AI for Mathematics Research and Teaching (Code: PEP2A)

Steven Craig Clontz, University of South Alabama
Oscar Levin, University of Northern Colorado

Professional Enhancement Program (PEP) 2B: Leveraging GitHub and AI for Mathematics Research and Teaching (Code: PEP2B)

Steven Craig Clontz, University of South Alabama
Oscar Levin, University of Northern Colorado

Professional Enhancement Program (PEP) 5A: Quantum-Accelerated Supercomputing for the Mathematics Classroom (Code: PEP5A)

Monica VanDieren, NVIDIA

Professional Enhancement Program (PEP) 5B: Quantum-Accelerated Supercomputing for the Mathematics Classroom (Code: PEP5B)

Monica VanDieren, NVIDIA

SIAM Minisymposium on Navigating the Future of Higher Education: The Role of AI in Teaching, Research, and Extension (Code: SIAMSS7A)

Alvaro Alfredo Ortiz Lugo, University of Cincinnati
Rafael Alberto Méndez-Romero, Universidad del Rosario

SIGMAA Contributed Paper Session on Using AI in Mathematics Instruction (Code: SIGMAACP)

Shanda Renee Hood, University of Arkansas
Brian D Walton, James Madison University
Bernd Sing, University of the West Indies at Cave Hill
Joseph Edward Fields, Southern Connecticut State University

SIGMAA Panel: Navigating the Frontier: Statistics, Data Science, and AI in the First Two Years of College (Code: SIGMAAPAN1)

Helen Elizabeth Burn, Highline College, SIGMAA Statistic and Data Science Education

SIGMAA Special Session on Research in Undergraduate Mathematics Education, I (Code: SIGMAASS3A)

Kaitlyn Stephens Serbin, The University of Texas Rio Grande Valley
Brian P Katz, California State University, Long Beach
Deborah Moore-Russo, University of Oklahoma
Shandy Hauk, San Francisco State University

TPSE Panel: The Impact of AI in the Mathematics Curriculum, Teaching, and Research (Code: TPSEPAN3)

Oscar Vega, California State University, Fresno
Padmanabhan Seshaiyer, George Mason University