Siavash Shams
About Me
I'm a PhD candidate at Columbia University with a background in Electrical and Computer Engineering. My research interests center around multi-modal machine learning, speech, and NLP. I'm deeply passionate about advancing knowledge in these fields. I look forward to connecting with fellow researchers and professionals who share a similar enthusiasm for cutting-edge research and innovation.
Research Interests
I am interested in developing and leveraging tools from:
- Machine Learning
- Optimization
With applications to:
- Image/Signal Processing
- Computational Neuroscience
Publications
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SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model
(arXiv)
(Code)
S. Shams, S. S. Dindar, X. Jiang, N. Mesgarani
-
An Optimal Data-Driven Method for Controlling Epileptic Seizures
(Published)
S. Shams, S. Motallebi, M. J. Yazdanpanah
-
Comprehensive and Gamified Rehabilitation System for Upper-Limb Impairment Treatments
(Published)
V. Yazdnian, A. Delavari, H. Moradi, S. Shams, M. Teymouri, A. Rezaei
Posters and Presentations
-
Society for Neuroscience (SFN2023)
Nov. 2023
Presented the poster for “Auditory Attention Decoding: using ECoG to determine the anatomical
locations and neural frequency bands that contribute” [Poster]
-
The 7th International Iranian Conference on Biomedical Engineering
Dec. 2022
Prepared the poster for “An Optimal Data-Driven Method for Controlling Epileptic Seizures” [Poster] [Certificate]
-
The RSI 10th International Conference on Robotics and Mechatronics
Nov. 2022
Prepared and presented the poster for “Comprehensive and Gamified Rehabilitation System for Upper Limb Impairment Treatments” [Poster]
Honors and Awards
Full Scholarship Offer for Graduate Studies from Sharif University of Technology, 2022
Exceptional Talent Award from University of Tehran, 2022
Ranked top 10% among 124 Electrical Engineering B.Sc. students at University of Tehran, 2021
Ranked top 0.2% among more than 150,000 participants in National University Entrance Exam, 2018
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