Qiang Du | Applied Physics and Applied Mathematics / and Data Science Institute / SEAS

Qiang Du's Bio Sketch

Fu Foundation Professor of Applied Mathematics

Dept of Applied Physics and Applied Mathematics
and Data Science Institute
535C Mudd Building, Mail Code: 4701
New York, NY 10027. Phone: 1-212-853-0689
Email: [email protected]
Homepage

Education

Ph.D (Mathematics, 1988) Carnegie Mellon Univeristy

B. S. (Mathematics, 1983) Univeristy of Science and Technology of China

Recent professional experience

2014 Fu Foundation Professor of Applied Mathematics, Colubmia University

2006 Verne M. Willaman Professor of Mathematics, Penn State University

2005 Professor of Materials Science and Engineering, Penn State University

2001 Professor of Mathematics, Penn State University

Recent visiting appointment

2025 FSMP Distinguished Professor, Foundation Sciences Mathématiques de Paris
2023 Tsunoda Senior Fellow, Waseda University, Tokyo
2022 Columbia Paris Alliance Visiting Professor, Ecole Polytechnique, Paris
2020 Inaugural Feng Kang Visiting Scholar, AMSS, Chinese Academy of Sciences

Recently funded research projects

2024-2027 DOE-ASCR: DyGenAI: Dynamic Generative Artificial Intelligence for Prediction and Control of High-Dimensional Nonlinear Complex Systems, (PI@Columbia)
2023-2026 NSF-DMS: Algorithmic and analytical development for solving and learning nonlocal models, (PI@Columbia)
2021-2024 NSF-CNS: Hybrid Twins for Urban Transportation: From Intersections to Citywide Management, (Co-PI, Columbia)
2021-2024 DOE-ASCR: Reliable and Efficient Machine Learning for Leadership Facility Scientific Data Analytics, (PI@Columbia)
2020-2023 NSF-DMS: Mathematical and Numerical Analysis of Asymptotically Compatible Discretization of Nonlocal Model
2021-2024 NSF-CNS: Hybrid Twins for Urban Transportation: From Intersections to Citywide Management, (Co-PI, Columbia)
2021-2024 DOE-ASCR: Reliable and Efficient Machine Learning for Leadership Facility Scientific Data Analytics, (PI@Columbia)
2020-2023 NSF-DMS: Mathematical and Numerical Analysis of Asymptotically Compatible Discretization of Nonlocal Models, (PI, Columbia)
2020 AWS Machine Learning Research Award, Multi-Autonomous Vehicle Driving Policy Learning for Efficient and Safe Traffic, (Co-PI, Columbia)
2020-2025 NSF-DMS: RTG: Research Training in Applied Mathematics at Columbia University, (Co-PI, Columbia)
2019-2023 NSF-DMREF: Complex Nanofeatures in Crystals: Theory and Experiment Meet in the Cloud (Co-PI, Columbia)
2018-2019 Columbia DSI: A Game-Theoretical Framework for Modeling Strategic Interactions Between Autonomous and Human-Driven Vehicles (Co-PI)
2017-2020 NSF DMS: Numerical Analysis of SPH Type Methods via Nonlocal Models
2017-2020 NSF CCF (TRIPODS): From Foundations to Practice of Data Science and Back (Co-PI, Columbia)
2017-2019 Columbia SIRS: Data-driven Multiscale Poromechanics: Bridging Scales and Physics through Graph-based Machine Learning with Uncertainty Quantification (Co-PI, Columbia)
2015-2019 NSF-DMREF: Deblurring our View of Atomic Arrangements in Complex Materials for Advanced Technologies (Co-PI, Columbia)
2015-2017 DARPA EQUiPS: Foundations of Rigorous Mathematics for Uncertainty Quantification in Large Systems at the Extreme Scale (FoRMULatE) (PI@Columbia)
2015-2020 ARO-MURI: Fractional PDEs for Conservation Laws and Beyond: Theory, Numerics, and Applications (PI@Columbia)
2015-2016 Columbia ROADS, Advancing Materials Genomics: Quantifying Uncertainties for Nanostructure Determination and Optimization (QUNDO) (Co-PI, Columbia)
2015-2016 AFRL-STTR, Data Infrastructure for Materials Genome with Innovation and Certification (DiMAGIC) (PI@Columbia)
2013-2019 AFOSR-MURI center for Material Failure Prediction through Peridynamics (PI@Columbia, PI@PennState)
2013-2016 NSF-DMS, Algorithms and computation for rare events in complex systems (PI)
2013-2016 NSF-DMS, Mathematical analysis of nonlocal diffusion and peridynamic mechanical model (Co-PI)
2010-2013 DOE-ASC, Mathematical and numerical analysis of peridynamics for multiscale problems in solids
2010-2013 NSF-IIP, I/UCRC CGI: Center for Computational Materials Design (CCMD), Phase II (Co-PI)
2010-2013 NSF-DMS, Mathematical and computational studies of interfaces and defects
2009-2010 SANDIA LAB, Mathematical and Numerical Analysis of Peridynamic Models
2009-2011 DOE-CES, A Global, Multi-Resolution Approach to Regional Ocean Modeling
2007-2011 NIH - NCI, Multiscale modeling of leukocyte-tumor cell adhesion to endothelium in shear flow (Co-PI)
2007-2010 NSF-DMS, Analysis and Computation of some model problems in interface and defect dynamics
2004-2007 NSF-CCF, CAMLET: a combined ab-initio and manifold learning toolbox (Co-PI)

Publications

Check the links to our research group page
List of publications by year.
List of publications via Google Scholar.
List of publications via ORCID.

University/APAM/DSI services

Committees:
Faculty Advisor, SIAM Student Chapter at Columbia
Chair of Applied Mathematics Program (2015-2020), APAM
Co-Chair of Center for Computing Systems for Data-Driven Science (2019-2024), DSI
Co-chair (with Jeanneate Wing), Machine Learning for Science and Engineering (MLSE2020), DSI
co-Chair of Center for Foundations of Data Science (2018-2019), DSI
co-Chair, Applied Mathematics Doctoral Committee (2014-)
Committee member, Center for Computing Systems for Data-Driven Science (2018-)
Class of 2017 Applied Mathematics Undergraduate Advisors (2014-2017)
Chu Assistant Professorshop search committee (Chair 2014-2015)
Visibility committee, Data Science Inst (2015-)
DSI representative for faculty search on "Machine learning and algorithms", Data Science Inst (2015-2017)

Community services

Editor-in-Chief of Journals:
Communications of Amer. Math. Society (Founding Co-Chief-Editors, 2020-)
A top-level Diamond-Open-Access journal from AMS (free to both authors and readers).
Aimed at promoting interactions of theoretical and applied mathematics,
Submit your high quality research to CAMS to support this new AMS venture
for the mathematics profession.
SIAM Journal on Applied Mathematics (Editor-in-Chief 2021-)
SIAP is the founding journal of the Society for Industrial and Applied Mathematics.
The first volume of the journal appeared in 1953 and the foundations and evolution
of applied mathematics can be found within its pages.
Journal editorial boards:
SIAM Journal on Applied Mathematics (2012-, Section Editor 2015-2020)
SIAM Journal on Numerical Analysis (2001-2011 and 2014-2023)
Mathematics of Computation (AMS 2016-2024)
Comm. Math. Sci.
Journal of Scientific Computing (2016-2022)
Mathematical Models and Methods in Applied Sciences (M3AS)
Disc Cont Dyn Sys-B
J. of Computational Mathematics
CSIAM Transaction on Applied Mathematics
Mathematics Research and Applications
Communications in Mathematics and Statistics
J. of Mathematical Study
Communications on Applied Mathematics and Computation
Interfaces and Free Boundaries
Journal of Peridynamics and Nonlocal Modeling (Associate Editor)
Calcolo
Comm. in Comp. Physics (2010-2020)
Numer Math: Theory, Methods and Applicarions (2009-2020)
Appl. Math. Res. eXp. (2002-2016)
Book series editors:
Handbook of Numerical Analysis and Scientific Computing (2015-)
SIAM Mathematical Modeling and Computation Book Series (2021-)
Other serives:
Chair: SIAM Activity Group on Mathematical Aspects of Materials Science, (2014-2016), SIAM
Member of Committee on Science Policy, SIAM (2021-2023)
Council of American Mathematics Society, AMS (2023-2026)
Member of Fellow Selection Committee, AMS (2020-2023)
Member of Organzing Committee of SIAM Conference on Mathematics of Data Science (MDS22), SIAM (2021-2022)
Editorial board of SIAM News, Liaison for SIAG-MS (2017-2019)
Member of Scientific Advisory Board, ICERM (2015-2019)
Oversea assessment expert of Chinese Academy of Sciences (2017-2020)
Member of Directorate Advisory Committee, PNNL (2017-2019)
SIAM representative to U.S. National Committee on Theoretical and Applied Mechanics (USNC/TAM), (2015-2019), The National Academies.

Hobbies and Miscellanies

My Erdös number is 2
Not to be confused with the conventional terms, in terms of collaboration distance,
my Gauss number is 6,
my Hilbert number is 5, not 2\sqrt(2),
my SS Chern number is 4,
my Einstein number is also 4, but
my Ladyzhenskaya number is 2,
my Euler number is inf (whose isn't?)
my (enter your name) number is to be computed