I am currently a Ph.D. student in computer science at the University of Edinburgh. I am very honored to be advised by Professor Rik Sarkar. My main research interests are Differential Privacy and Machine Learning. Formerly studied my bachelor studies at the Sharif University of Technology in Applied Mathematics, where I mostly focused on Differential Privacy, Coding Theory, and Information Theory under the supervision of Professor Javad Ebrahimi. Also, I had the great honor to work with Professor Marco Mondelli on Channel Coding and Machine Learning as a scientific intern at IST Austria.
Download My CVDecember 2024 - Ongoing
We consider the problem of advanced estimation of privacy risk of adding a data point to the training set of a machine learning model with standard optimisation methods.
December 2024 - April 2025
We describe secure protocols that make use of a small subset of the data to perform an assessment and output a score that can be used to determine the final price of the data transaction. The protocols are based on zero-knowledge proofs of properties of the data and model inference.
March 2024 - September 2024
We consider the problem of counting under continual observation and present a new generalization of the binary tree mechanism that uses a k-ary number system with negative digits to improve the privacy-accuracy trade-off.
March 2022 - September 2022
Sparse recursive projection aggregation (SRPA) decoder for Reed-Muller codes achieves a performance that is close to the maximum likelihood decoder for short-length RM codes. We simulated an algorithm based on a neural network to lower the computational budget while keeping a performance close to that of the SRPA decoder by performing a better selection of projections in each sparsified decoder.
March 2021 - February 2024
In this project, we generalized the previous framework for designing utility-optimal differentially private (DP) mechanisms via graphs in two main directions. First, heterogeneous mechanisms where the partial mechanism can have different probability distributions at the boundary. Secondly, we solved the problem in a general heterogeneous privacy setting on neighboring datasets to provide different levels of privacy.
2024 - 2028
University of Edinburgh
2019 - 2023
Sharif University of Technology
2013 – 2019
National Organization for the Development of Exceptional Talent
December 2025
I'm excited to announce that I will be attending the Workshop on Principles of Generative Modeling (PriGM) @ EurIPS2025!
OpenReviewJanuary 2025
Paper "Count on Your Elders: Laplace vs Gaussian Noise" accepted at the FORC 2025.
arXivAugust 2024
Paper "Improved Counting under Continual Observation with Pure Differential Privacy" accepted at the TPDP 2024.
arXivOctober 2023
Paper "Optimal Differential Privacy via Graphs" accepted at the JSAIT 2023.
arXivApril 2022
Paper "Heterogeneous Differential Privacy via Graphs" accepted at the 2022 IEEE International Symposium on Information Theory (ISIT'22)
arXivMy passion for photography sparked during our travels- it's just the beginning!
London, UK, October 2024
Westminister BridgeCooking is my therapy. An escape to where I can spend time creating magic.
Italian Cuisine
Pasta CarbonaraArt, in all its forms, is a remedy for our souls, whether through music, cinema, painting, or sculpture. With one life to live, I want to express my thoughts in art in every vibrant way possible.
Trying Watercolour For The First Time Creating May From "It Takes Two"! Oil Painting of Amalfi Coast, Italy