Andrea Bertozzi Research Group

Current Postdocs   (Former Postdocs)

• Shiba Biswal, PhD in Mechanical and Aerospace Engineering, MS in Mathematics, Arizona State Univ., Hedrick Adj. Asst. Prof.
• Sarah Burnett, PhD in Mathematics, Univ. Maryland, PIC Hedrick Adj. Asst. Prof.
• Lingyun Ding, PhD in Mathematics, UNC Chapel Hill, PI Hedrick Adj. Asst. Prof.
• Eric Hester, PhD Univ. Sydney (Australia), computational fluid dynamics
• Jona Lelmi, PhD. Univ. Bonn (Germany), machine learning and applied analysis
• Rishi Sonthalia, PhD in Mathematics, Univ. of Michigan, Data Science

Current Ph.D. Students (Advanced to Candidacy)   (Former Students)

• Joel Barnett, Image processing
• Bohan Chen, optimization, image and signal processing
• Jason Brown, Image processing and graph based methods
• Yotam Yaniv, machine learning models

PhD Students (passed qualifiers)

• James Chapman
• Harris Hardiman-Mostow
• Evan Davis
• Jack Luong
• Hong-Kiat Tan

Current Projects

Simons Math + X This is a ten year project in collaboration with the California NanoSystems Institute and the Department of Mechanical Engineering. We are working on microfluidics applications.

Knowledge Graphs We are developing mathematical methods and theory for analyzing data organized on knowledge graphs.

COVID-19 I am doing research related to modeling the spread of COVID-19.

Subgraph Isomorphisms We are looking at subgraph isomorphisms on multichannel networks

We are working with a community organization in Los Angeles, the Gang Reduction Youth Development program.

We are part of a collaborative project on deep learning, with Univ. and UC Irvine.

Current Research Grants and Contracts

1. NSF CCF-2345256 Collaborative Research: RAPID: Rapid computational modeling of wildfires and management with emphasis on human activity, 9/15/23-8/31/24, with Stan Osher as coPI.
2. NSF DMS-2318817 ATD: Active Learning Activity Detection in Multiplex Networks of Geospatial-Cyber-Temporal Data, 9/23-8/26
3. ONR grant N00014-23-1-2565, Novel Machine Learning Methods for Resolving Coherent Structures in Multiscale Physical Simulations, 6/23-6/26
4. NSF DMS-2152717, Collaborative Research: Differential Equations Motivated Multi-Agent Sequential Deep Learning: Algorithms, Theory, and Validation, collaborative project with Bao Wang from U. Utah, 7/22-6/25
5. National Geospatial-Intelligence Agency Award No. #HM0476-21-1-0003 , Active Learning Methods on Graphs for Image, Video and Multispectral Datasets, 5/21-5/23
6. NSF DMS-1952339, 8/15/20-7/31/23, FRG: Collaborative Research: Robust, Efficient, and Private Deep Learning Algorithms, with S. J. Osher, B. Wang (Univ. Utah). Collaborative project with J. Xin at UC Irvine.
7. NSF DMS-2027277, ATD: Algorithms for Threat Detection in Knowledge Graphs, 9/2020-8-2023, with Jeff Brantingham, coPI.
8. NSF grant DGE-1829071, NRT-HDR: Modeling and Understanding Human Behavior: Harnessing Data from Genes to Social Networks, 9/2018-8/2023, ALB current PI; Wei Wang original PI.
9. Simons Math + X Investigator Award number 510776. 7/2017-6/2027
10. City of Los Angeles, Gang Reduction Youth Development (GRYD) Analysis Program, subaward to UCLA from CSULA, 3/2016-6/2023; P. J. Brantingham PI.

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UCLA * Department of Mathematics *