Mohammad Javad Latifi

PhD Student, University of Arizona, Mathematics Department

Office:

Math Building 509

Research Interest:

Quantum Field Theory, Medical Imaging, Data Science

Advisor:

Douglas Pickrell

Email:

mjlatifi@math.arizona.edu

Publications

[Mathematical Physics and Geometry]

1.Lattice models and super telescoping formula, MJ Latifi, peprint, 2021.

2.Exponential of the S^1 trace of the free field and Verblunsky coefficients, MJ Latifi, Doug Pickrell, peprint, 2020.

[Medical Imaging and Data Science]

3.Inversion and Symmetries of the Star Transform, G Ambartsoumian, MJ Latifi, The Journal of Geometric Analysis, 31 (2021), pp 11270-11291.

4.Generalized V-line transforms in 2D vector tomography, G Ambartsoumian, MJ Latifi, RK Mishra, Inverse Problems, Vol.36 (10),2020.

5.The V-line transform with some generalizations and cone differentiation, G Ambartsoumian, MJ Latifi, Inverse Problems, Vol.35 (3),2019.

6.Inversion of the star transform, Gaik Ambartsoumian, MJ Latifi, in Tomographic Inverse Problems: Theory and Applications, Oberwolfach Reports, EMS, 2019.

7.Graph Spanners: A Tutorial Review, MJ Latifi, Reyan Ahmed, Alon Efrat, Keaton Hamm, Stephen Kobourov, Faryad Darabi Sahneh, Richard Spence, Computer Science Review, 2020.

8.Approximation algorithms and an integer program for multi-level graph spanners, MJ Latifi, Reyan Ahmed, Keaton Hamm, Stephen Kobourov, FD Sahneh, Richard Spence. Analysis of Experimental Algorithms, SEA 2019.

9.A General Framework for Multi-level Subsetwise Graph Sparsifiers , with Reyan Ahmed, Keaton Hamm, Stephen Kobourov, Faryad Darabi Sahneh, Richard Spence.

See Google Scholar page for more.

Check out My CV.

Radars and Autonomous Cars at Lunewave:

Last summer, as an intern, I was involved in a cool project at lunewave working on Radars and Autonomous Cars. During this period, I have worked on algorithms to track and classify objects together with implementing a C++ GUI software for the analysis and visualization of the Radar data. Here is a video demonstration: