Siavash Shams
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Machine Learning Engineer | MSc in Electrical Engineering from |
About Me
I am a Machine Learning Engineer with an MSc in Electrical Engineering from Columbia University, specializing in deep learning and Large Language Models (LLMs). With experience in cutting-edge research and practical projects, I am passionate about solving complex problems and building innovative solutions. I am always open to collaborations and opportunities to work on impactful projects.
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
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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]
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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]
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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