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.
- Sean Carney, PhD in Mathematics, Univ. Texas Austin, CAM/Hedrick Adj. Asst. Prof.
- Weiqi Chu microfluids, multiscale modeling, model reduction
- Karthik Elamvazthuti, PhD in Mechanical Engineering, ASU, CAM Asst. Adj. Prof.
- Hangjie Ji, PhD (Duke) - PIC Instructor, fluids and PDE
- Wen Li, PhD Clarkson Univ. Asst. Adj. Prof., numerical PDE
- Michael Lindstrom, PhD (UBC) - PIC Instructor and NSERC Postdoc, fluids and modeling
- Wumaier Maimaitiyiming, PhD in Mathematics, Iowa State University, numerical analysis and PDE
- Current Ph.D. Students (Advanced to Candidacy) (Former Students)
- Bohan Chen, optimization, image and signal processing
- Kyung Ha, surface tension microfluidic modeling and analysis
- Jacob Moorman, multichannel networks
- Thomas Tu, multichannel networks
- Yoni Dukler, thin film fluids and machine learning
- Kevin Miller, Machine learning, Bayesian uncertainty quantification, active learning
- Kaiyan Peng, optimal path planning, networks
- Dominic Yang, multichannel Networks
- Xia Li, multichannel networks and epidemics
- Yurun Ge, Multichannel Networks
- PhD Students (passed qualifiers)
Current Projects
- Simons Math + X This is a five 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
- 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.
- NSF DMS-2027277, ATD: Algorithms for Threat Detection in Knowledge Graphs, 9/2020-8-2023, with Jeff Brantingham, coPI.
- NSF grant DMS-2027438, (Mason Porter coPI),
RAPID: Analysis of Multiscale Network Models for the Spread of COVID-19, 4/15/2020 - 3/31/2021
- 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.
- DARPA, Variational Methods on Graphs for Identification on Transaction Networks, Feb 1 2018-Jan 29, 2022. Award number FA8750-18-2-0066.
- ATD: Sparsity Models for Forecasting Spatio-Temporal Human Dynamics NSF DMS-1737770, 9/15/17-8/31/20, with P. J. Brantingham and S. J. Osher
- Simons Math + X Investigator Award number 510776. 7/2017-6/2022
- NSF grant DMS-1659676 REU Site: Mathematical Modeling at UCLA, 7/2017-6/2020, M. Roper PI.
- City of Los Angeles, Gang Reduction Youth Development (GRYD) Analysis Program, subaward to UCLA from CSULA, 3/2016-6/2020; P. J. Brantingham PI.
- NGA NURI grant HM02101410003, "Sparsity models for spatiotemporal analysis and modeling of human activity and social networks in a geographic context", 10/24/14-10/30/20, with S. Osher, P. J. Brantingham and G. Tita (UC Irvine)
UCLA * Department of Mathematics *