Neo: What are you trying to tell me? That I can dodge bullets?
Morpheus: No, Neo. I'm trying to tell you that when you're ready, you won't have to.
From "The Matrix"
Sina Mohammad-Taheri, since Fall 2025
Sophie Morin (Polytechnique Montréal, IVADO), since Summer 2025, co-mentored with Serge Prudhomme (Polytechnique Montréal)
Rachel Morris, since Fall 2025, co-mentored with Jason Bramburger
Daniel Fassler, since Fall 2025, co-supervised with Jason Bramburger
Samir Karam, since Summer 2023, co-supervised with Galia Dafni
Rahul Padmanabhan, since Winter 2025
Shalini Sivajeyan (MASc, Thesis), since Fall 2025, co-supervised with Behrooz Yousefzadeh (Concordia, MIA Engineering)
Christopher Turcotte (MSc, Thesis), since Fall 2024, co-supervised with Lea Popovic
There are no postdoctoral openings in my group at the moment.
I usually have research opportunities in the areas of mathematics of data science and numerical analysis at the graduate level. I look forward to offering them to highly motivated students with a strong mathematical background and good programming skills.
Please check the Department website for more information on our graduate programs and how to apply:
https://www.concordia.ca/artsci/math-stats/programs/graduate.html
I often supervise undergraduate students at Concordia within the Honour's Program or, in the summer, through the Concordia and the NSERC Undergraduate Student Research Award (USRA) Programs. I welcome expression of interests via email, all year long for Honour's project and in January for Concordia and NSERC USRA.
2. Aaron Berk (IVADO, CRM Applied Math Lab, McGill), Fall 2021 - Summer 2023
Co-mentor: Tim Hoheisel (McGill)
1. Weiqi Wang (Horizon Postdoctoral Fellow, Concordia), Fall 2021 - Winter 2023
1. Giuseppe A. D'Inverno (Post-doc, SISSA), Winter-Summer 2025
1. Sina Mohammad-Taheri (PhD, Concordia), Fall 2020-Summer 2025
Thesis: Greedy sparse recovery algorithms: from weighted generalizations to deep unrolling [Download]
2. Caterina Gallegati (University of Siena), Summer 2025
1. Giuseppe Alessio D'inverno (University of Siena), Winter 2023
Co-supervisor: Mirco Ravanelli (Concordia, CSSE)
8. Javad Roustaei (MSc, Thesis, Concordia), Fall 2020-Summer 2025
Co-superviseor: Cody Hyndman
Thesis: Narrative Signals from Bank Filings as Early-Warning Indicators: Unsupervised NLP with Regime-Switching Models [Download]
7. Serly Ishkhanian (MA, Thesis, Concordia), Fall 2022-Summer 2025
Co-supervisor: Weiqi Wang (University of Victoria)
Thesis: Disentangling the AI black-box model: From direct to indirect influence [Download]
6. Daniel Fassler (MSc Thesis, Concordia), Fall 2023-Summer 2025
Co-supervisor: Jason Bramburger
Thesis: Finite-data Error Bounds for Approximating the Koopman Operator [Download]
5. Rahul Padmanabhan (MSc Thesis, Concordia), Fall 2020-Winter 2025
Thesis: Deep Learning Approximation of Matrix Functions: From Feedforward Neural Networks to Transformers [Download]
4. Paul Glickman (MSc Thesis, Concordia), Fall 2021-Fall 2024
Thesis: When Noise Helps Learn: Approximate Impossibility in Identity Effects for Deep Neural Networks [Download]
3. Kylian Ajavon (MA Thesis, Concordia), Winter 2022-Winter 2024
Co-supervisor: Pawel Gora
Thesis: Surrogate Models for Diffusion on Graphs: A High-Dimensional Polynomial Approach [Download]
2. Samir Karam (MSc Thesis, Concordia), Fall 2022-Winter 2023 (fast-tracked to PhD)
Co-supervisor: Galia Dafni
1. Matthew King-Roskamp (MSc Thesis, Simon Fraser University) Fall 2018-Summer 2020
Co-supervisor: Ben Adcock (Simon Fraser University),
Thesis: Global guarantees from local knowledge: Stable and robust recovery of sparse in levels vectors [Download]
16. Marianna Braud (Concordia)
Honours project, Fall 2025, co-supervised with Sina Mohammad-Taheri (Concordia)
Project Title: Numerical methods for stiff ODEs: from fixed step size to adaptivity
15. Étienne Dyer (Concordia)
Honours Project, Summer 2025, co-supervised with Giuseppe Alessio D'Inverno (SISSA)
Project title: Graph Neural Diffusion: An Analysis of Stability in Graph Neural Networks
14. Yuka Kato (Concordia)
Honours Project, Winter 2024, co-supervised with Lisa Kakinami
Project title: Understanding Body Composition and Demographics in NHANES: An Exploratory Data Analysis Through Visualizations
13. Rocco Trinci (Concordia)
Honours project, Summer 2023, co-supervised with Aaron Berk (McGill)
Project title: Black-box auditing and algorithmic fairness in statistical learning
12. Shamita Datta (Shri Mata Vaishno Devi University)
MITACS Globalink Intern, Summer 2022
Project title: Comparison of l1 minimization, IHT and NSIHT algorithms for compressed sensing
11. Marco Mignacca (Concordia)
NSERC USRA, Summer 2023, co-supervised with Jason Bramburger
Project title: Data-Driven Approximation of the Koopman Operator using Wavelet Bases
NSERC USRA, Summer 2022, co-supervised with Galia Dafni
Project title: An Exploration of Wavelet Methods for PDEs: Bases, Dictionaries, and Random Features
10. Samir Karam (Concordia)
Honours Project, Summer 2022, co-supervised with Weiqi Wang
Project title: Physics-informed neural networks and classical methods for solving ordinary and partial differential equations
9. The Minh Nguyen (Concordia)
Concordia USRA, Summer 2022, co-supervised with Aaron Berk (McGill)
Project title: Visualizing the expressivity of deep learning: Low-dimensional journeys in high-dimensional worlds
8. Serly Ishkhanian (Concordia)
Honours Project, Winter 2022
Project title: Matrix completion, convex relaxation, and the Netflix Prize
7. Brendon Thomson (Concordia)
CUSRA, Summer 2021, co-supervised with Giovanni Rosso
Project title: Number Theory meets Machine Learning
6. Amanda Gu (McGill)
BIOL 490 Honours Project, Summer 2020-Winter 2021, co-supervised with Eric Pedersen (Concordia, Biology)
Project title: Coefficient Recovery Using Compressive Sensing on Lotka-Volterra Models of Ecosystem Dynamics
5. Kylian Ajavon (Concordia)
Honours Project, Fall 2021
Project title: High-dimensional polynomial approximation: From theory to practice
Concordia USRA, Summer 2021
Project title: Sparse Approximation of Diffusion Processes on Networks from Limited Data
Undergraduate research assistant, Summer 2020
Project title: A numerical exploration of generative compressed sensing
4. Zi Jian Chen (Concordia)
Co-op research internship, Summer 2020
Project title: Loss Function on the Resilience of Deep Neural Network Against Gaussian Noise and Sparse Corruption
3. Matthew Liu (Concordia)
Undergraduate research assistant, Fall 2019-Summer 2020
Project title: Rating impossibility theorems for identity effects with neural networks
2. Einar Gabbassov (Simon Fraser University)
NSERC USRA, Summer 2018, co-supervised with Ben Adcock (Simon Fraser University)
1. Matthew King-Roskamp (Simon Fraser University)
NSERC USRA, Summer 2017, co-supervised with Ben Adcock (Simon Fraser University)