I am a final year PhD student in Computer Science at Rochester Institute of Technology (RIT), working under the supervision of Professor Wang. I hold a B.Sc. in Computer Science from Shahid Beheshti University, Tehran, Iran.

My research is deeply rooted in Deep Learning, Scientific Machine Learning, Representation Learning, and Generative Models. During my PhD, I have explored diverse applications of machine learning, particularly focusing on projects in healthcare that aim to enhance diagnostics and personalized patient care.

I completed two internships at Spotify in New York, USA, where I worked on using Large Language Models (LLMs) for Recommendation Systems.

Away from the screen, I enjoy aerial yoga 🧘‍♀️, swimming 🏊‍♀️, hiking 🏔️, and cooking 🍝.

Selected Publications

For the full list of publications and pre-prints please refer to my Google Scholar page.

[NeurIPS ‘24] On the Identifiability of Hybrid Physics-Neural Models: Meta-Learning as a Solution (Accepted - Link Coming Soon!)
[ICLR ‘24] DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks, Link
[TMI ‘24] Hybrid Neural State-Space Modeling for Supervised and Unsupervised Electrocardiographic Imaging, Link
[MICCAI ‘23] A Spatial-Temporally Adaptive PINN Framework for 3D Bi-Ventricular Electrophysiological Simulations and Parameter Inference, Link
[CINC ‘23] A 3D Camera-Based Approach to High-Density ECG Imaging Link
[CINC ‘23] Feasibility of ECGI Endocardial Solutions in Localizing the VT Reentrant Circuit Link
[MICCAI ‘22] Interpretable Modeling and Reduction of Unknown Errosrs in Mechanistic Operators Link
[TMI ‘22] Improving generalization by learning geometry-dependent and physics-based reconstruction of image sequences Link
[MLMI ‘22] Neural State-Space Modeling with Latent Causal-Effect Disentanglement Link
[FIMH ‘21] Deep adaptive electrocardiographic imaging with generative forward model for error reduction Link
[MICCAI ‘21] Label-free physics-informed image sequence reconstruction with disentangled spatial-temporal modeling Link
[TBME ‘21] Learning to disentangle inter-subject anatomical variations in electrocardiographic data Link

News

2024

1. [Paper Acceptance] Our Paper is accepted at NeurIPS 2024!
2. I am serving as a Reviewer for Neurips 2024!
3. [Paper Acceptance] Our Paper is accepted at ICLR 2024!
4. I am serving as a Reviewer for IEEE Transactions on Circuits and Systems for Video Technology!
5. I am serving as a Reviewer for MICCAI 2024!
6. I received a travel award from RIT Student Government!
7. I will be attending Neurips in New Orleans this year!
8. I am serving as a Reviewer for TSMO workshop at KDD 2024!
9. I am serving as a Reviewer for Physics in Medicine and Biology!
10. I am serving as a Student Voelenteer at CHI 2024 in beautiful Honolulu, Hawaii!
11. [Paper Acceptance] Our paper is accepted at IEEE Transactions on Medical Imaging (TMI)!

2023

1. [Paper Acceptance] Our paper is accepted at MICCAI 2023!
2. I am starting my second Summer internship at Spotify! 🎼
3. I am serving as a Reviewer at MLMI 2023!
4. I am serving as a Reviewer for MICCAI 2023!
5. I am traveling to Atlanta, Georgia for my scheduled talk at CinC2023!
6. [Paper Acceptance] We have 2 papers (Oral + Poster) accepted at CINC2023!
7. I am serving as a program committee for ML for Streaming Media at The WebConf2023!

2022

1. [Paper Acceptance] Our paper is accepted at MICCAI-MLMI 2022!
2. [Paper Acceptance] I am starting my Internship at Spotify! 🎼
3. [Paper Acceptance] Our paper is accepted at MICCAI 2022 main conference!
4. I have a talk at the Inverse Problems Seminar in the School of Mathematics and Statistics at RIT!
5. [Paper Acceptance] Our journal paper is accepted at IEEE transactions on medical imaging!
6. I am traveling to Las Vegas to present my poster at ISCE 2022!

2021

1. I have a talk at the ECGI Imaging (CEI) Satellite Conference event at University of Brno!
2. I have a talk at FIMH 2021 Conference!
3. [Paper Acceptance] My paper is accepted at the FIMH 2021 Conference!
4. [Paper Acceptance] Our journal paper is accepted at IEEE Transactions on Biomedical Engineering!
5. [Paper Acceptance] Our paper is accepted at MICCAI 2021!

Talks

1. Hybrid Physics & Deep Learning, RIT Computer Science PhD Colloquium, 2024
2. LLM Evaluation For Topic Modeling, Internship Presentation for Personalization Teams, 2023
3. Feasibility of ECGI Endocardial Solutions in Localizing the VT Reentrant Circuit using Laplacian Eigenmaps, CINC 2023
4. Natural Language Inference (NLI) for Content Moderation, Internship Presentation for Personalization Teams, 2022
5. Deep Adaptive Electrocardiographic Imaging with Generative Forward Model for Error Reduction, FIMH 2021
6. Challenges in Developing and Evaluating Deep Learning-based ECGI, RIT Inverse problems seminar, 2021