Besides my academic career, I had a chance to work in electronic industry in Iran, where I developed products for sales points.
PhD in Computer Science
2020 to now at Max-Planck-Institute for Intelligent Systems, Tuebingen, Germany
Master's in Communication Systems
2016 to 2019 at Sharif University of Technology, Tehran, Iran
Bachelor's in Electrical Engineering - Communication Systems
2011 to 2016 at Isfahan University of Technology, Isfahan, Iran
Researcher at Human aspects of Machine Learning Lab.
From 2021 to now at MPI-IS, Tuebingen, GermanyDuring this time, I worked on understanding and further extensions of learn-to-defer systems. I designed active learning methods of learning the deferral systems, introduced a set of surrogate losses with which one could jointly train a classifier and rejection function, extended the notion of learn-to-defer to a more general teaming setting, and worked towards formalizing solution to deferral systems under constraints.
Researcher at Privacy-Preserving Machine Learning Lab.
From 2020 to 2021 at MPI-IS, Tuebingen, GermanyI worked on an alternative to random fourier feature method for generating private synthetic data using kernel mean embeddings. This alternative provably needs less amount of features to find a valid representation of the data, which means we need less noise to protect the privacy of individuals. Therefore, the quality of the generated private data is improved.
Researcher at Multimedia Lab.
From 2016 to 2019 at Sharif University of TechnologyI was conducting research on the intersection of information theory and signal processing. I devised an probabilistic generalization of sparsity that gives similar guarantees as sparsity in compressed sensing problems.
- PyTorch
- C++
- MATLAB