About me

I am a Ph.D. student in Computer Science under the supervision of Prof. Danica Kragic and at the Division of Robotics, Perception and Learning, EECS, at KTH in Stockholm, Sweden. My research lies at the intersection of Natural and Artificial Intelligence! I am interested in understanding the alignment gap between natural and artificial intelligent systems and bridging that gap by making the artificial systems closer to the natural ones.

I'm super passionate about knowing how the brain works and how we can use data obtained from the brain to make deep neural networks closer to natural intelligence.

News

Dec 2024: Our abstract, a joint work with Aniss Aiman Medbouhi, "Towards Discovering the Hierarchy of the Olfactory Perceptual Space via Hyperbolic Embeddings" has been accepted at Computational and System Neuroscience (CoSyne) 2024.
Dec 2024: I'm attending NeurIPS 2024 in Vancouver to present my paper "Can Transformers Smell Like Humans?" (paper, code)
Sep 2024: Our paper, "Can Transformers Smell Like Humans?" has been accepted at "Neural Information Processing Systems" (Neurips) 2024 as a ✨spotlight✨.
Apr 2024: Our paper "Challenging Deep Learning Methods for EEG Signal Denoising Under Data Corruption" got accepted to "International Conference of the IEEE Engineering in Medicine & Biology Society (EMBS) 2024" to be held in Orlando, Florida, USA.
Mar 2024: Attended Kick-off meeting for the D2Smell project at "Max Planck Institute for Chemistry" in Mainz, Germany!
Mar 2024: Our paper " Can Foundation Models Smell Like Humans?" got accepted to "ICLR 2024 Workshop on Representational Alignment".
May 2023: I have been awarded a scholarship by the KTH Foundation for Science and Higher Education after being selected from a pool of 89 applicants! The scholarship is intended to support my travel to attend the "Thirtyseventh Conference on Neural Information Processing Systems" in New Orleans, USA, from December 10th to 16th, 2023.
Mar 2023: Our abstract titled "Robust representation learning from corrupted EEG with contrastive learning" got accepted to the International BCI Meeting 2023. See you soon in Brussels!
November 2022: I presented my 30% seminar at RPL at KTH Royal Institute of Technology. Looking forward to the exciting journey toward 50%!
June 2022: I co-organized the first RPL summer school.
May 2022: I had a poster presentation at StratNeuro PhD Retreat 2021: "Adaptation of EEG-based Classifiers to Novel Subjects and Tasks".
November 2021: I had a poster presentation at SfN 2021: "Neural Mechanisms of Optimism Bias in Learning"; Thanks to Shiva Farashahi and Alireza Soltani for their contribution and supervision.
October 2021: I moved to Sweden and started my Ph.D. at the Division of Robotics, Perception, and Learning, at KTH Royal Institute of Technology under the supervision of Prof. Danica Kragic. Looking forward to this new journey!
September 2021: I defended my master's thesis at the University of Tehran: "A Circuit-level Model of Adaptive Learning under Uncertainty"; Thanks to my supervisors Dr. Alireza Soltani and Dr. Mohammad-Reza A. Dehaqani for this wonderful journey!

Education

October 2021 - present
- Ph.D. in Computer Science, KTH Royal Institute of Technology in Stockholm, Sweden
- Supervisor: Prof. Dancia Kragic
2018 - 2021
- M.S. in Computer Engineering-Artificial Intelligence, University of Tehran, Iran
- Thesis title: Circuit-level model of adaptive learning under uncertainty
- Supervisor: Dr. Moahammad-Reza A. Dehaqani, Dr. Alireza Soltani
2012 - 2016
- B.S. in Computer Engineering-Software, University of Isfahan, Iran
- Thesis title: : Analysis, Design and Implementation of Remote Health Monitoring System through IoT
- Supervisor: Dr. Ahamad Zaeri

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