Mohammad Sadegh Salehi

PhD student, University of Bath

EDUCATION AND TRAINING

PhD of Statistical Applied Mathematics (SAMBa CDT)

University of Bath, Bath, United Kingdom

October 2021- present

Master of Applied and Theoretical Mathematics

PSL Research University- Dauphine, Paris, France

September 2020– September 2021

Bachelor of Mathematics and Applications

University of Tehran, Tehran, Iran

September 2016– July 2020

Diploma in Physics and Mathematics Discipline

2012–2016

    RESEARCH INTERESTS

  • Bilevel Learning (Learning Hyperparameters)
  • Neural Networks as Regulariser
  • Variational Methods, Image Analysis & Inverse Problems
  • Convex Optimisation

    RELATED ATTENDED COURSES

  • Large-scale optimisation for Machine Learning
  • Inverse Problems & Data Assimilation
  • Mathematics of Machine Learning
  • Mathematics of Deep Learning
  • Continuous Optimization
  • Variational Methods and PDEs in Image Analysis
  • Numerical Linear Algebra
  • Numerical Methods in PDEs and Control
  • Advanced Programming

AWARDS & HONOURS

-SAMBa scholarship

Scholarship from the EPSRC Centre for Doctoral Training in Statistical Applied Mathematics at Bath (SAMBa) - September 2021

-PGSM scholarship

IHP (Institut Henri Poincaré) & FSMP (The Foundation Sciences Mathématiques de Paris) Scholarship Laureate - September 2020

-University of Tehran's Foundation Scholarship

Awarded to top 500 students among more than 35000 in the University of Tehran, Iran - Sep 2018– April 2020

-Ranked 1st graduated student from University of Tehran in Mathematics and Applications

Out of 35 students- July 2020

-Top 1% in Iran National University Entrance Examination (Concours)

June 2016

MEMBERSHIP & VOLUNTARY ACTIVITY

-Student Led Symposia Representative, University of Bath, UK

Oct 2021- Jan 2022

-Mathematics Students Association of the University of Tehran

Sep 2017 – Sep 2019

-Organizing monthly undergraduate talks, University of Tehran

Sep 2017- Sep 2019

    RESEARCH EXPERIENCES AND PROJECTS

  • "Bilevel Learning", Supervisors: Dr. Matthias Ehrhardt, Dr. Subhadip Mukherjee - Ongoing
  • "Implicit Acceleration by Overparameterisation in optimisation of Deep Networks", Project of the course "Mathematics of Machine Learning", (as a joint work with Sinyoung Park), instructed by Dr. Luca Zanetti - March 2022- April 2022
  • Interdisciplinary Research Project about Portfolios Design for Clinical Trials, Supervisor: Dr. Alex Cox, in partnership with Roche company - October 2021- April 2022
  • Master Thesis: "Linear and non-linear acceleration methods for alternating projections and Dykstra’s algorithm for projecting on an intersection of convex sets and an optimal transport problem", Supervisor: Prof. Antonin Chambolle - March 2021- September 2021
  • Combination of an active contour method and convolutional neural networks (Project of the course "Variational methods and PDEs in image analysis"), instructed by Prof. Laurent - March 2021
  • Parallel computing of the solution of a control problem (Project of the course "Numerical methods in PDE and Control"), instructed by Dr. Julien Salomon - December 2020
  • Designing a mechanism in order to reduce trafficking of tires in Iran, (Supervisor: Dr. Darvishzadeh) - December 2019
  • Algorithm for finding a minimum of convex functions using Integral, (Supervisor: Prof. Soleimani-Damaneh) - November 2019

PRESENTATIONS AND UNDERGRADUATE TALKS

  • Lightning Talk about Bilevel Learning, SAMBa Conference, University of Bath, UK - July 2022
  • Mathematics of Deep Learning & ADMM approach for training the Neural Networks, Online, University of Tehran - February 2022
  • Game theory and climate diplomacy with introducing a topology on 2*2 games, University of Tehran, Tehran, Iran - December 2019
  • Brachistochrone curve with different solutions, University of Tehran, Tehran, Iran - October 2019
  • Darboux and Strongly Darboux functions, University of Tehran, Tehran, Iran - April 2018
  • Linear Programming using MATLAB, University of Tehran, Tehran, Iran - November 2018
  • LATEXTutorial for undergraduate students, University of Tehran, Tehran, Iran - April 2019

LANGUAGE

English:

IELTS Band: 7.0, C1

Persian:

Native (Mother tongue)

French:

Beginner

skills

Programming:

Python (Numpy, PyTorch, TensorFlow, Matplotlib, Scipy, Scikit-learn ), C++, MATLAB, Java

Other computer skills:

Git, HTML

Typesetting:

LATEX, Microsoft Officer

OS:

MacOS, Linux, Windows

© 2021-2022 Mohammad Sadegh Salehi - mss226@bath.ac.uk - Last Update: 09/2022