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Siavash Shams

Siavash Shams

PhD Student in Electrical Engineering at
Columbia University

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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

  1. SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model (arXiv) (Code)

    S. Shams, S. S. Dindar, X. Jiang, N. Mesgarani

  2. An Optimal Data-Driven Method for Controlling Epileptic Seizures (Published)

    S. Shams, S. Motallebi, M. J. Yazdanpanah

  3. 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