CV

You can also download my full CV in PDF format here.

Education

• Ph.D. in Electrical Engineering, Sharif University of Technology, 2023
  • Dissertation: “A New Coupled HMM Framework & Applications in Multi-channel Brain Signal Processing”
  • Focus: Biomedical Signal Processing, Machine Learning, Statistical Modeling
• M.S. in Bioelectric Engineering, Sharif University of Technology, 2014
  • GPA: 18.59/20 (Rank: 2/12)
• B.S. in Electrical Engineering, Shiraz University, 2012
  • GPA: 18.20/20 (Rank: 1/32)

Work Experience

• October 2024 - Present: Postdoctoral Fellow
  • Emory University, School of Medicine, Department of Biomedical Informatics
  • Duties: Advancing health diagnostics by analyzing and modeling complex multi-channel biomedical signals, including brain and heart data
  • Research: Statistical signal processing, machine learning, and advanced modeling techniques to extract biomarkers
  • Activities: Mentoring students, promoting interdisciplinary collaboration, publishing research
• April 2022 - September 2024: Senior Data Scientist & Quantitative Analyst
  • Charisma Financial Information Processing
  • Achievements:
    • Developed AI-driven portfolio management system using MLOps, ML models, MDP, and Dynamic Bayesian Networks
    • Achieved 10% excess return on $30,000 test fund in four months
    • Successfully managed $2.5 million fund with $23 million turnover over two years
  • Technologies: Black-Litterman model, statistical models for options market analysis

Research Interests & Skills

• Signal Processing
  • Statistical Signal Processing
  • Biomedical Signal Analysis
  • Multi-channel Brain Signal Processing
  • Cardiovascular Signal Processing
• Machine Learning & AI
  • Coupled Hidden Markov Models
  • Latent Structure Influence Models (LSIM)
  • Deep Learning
  • MLOps Design and Implementation
• Statistical Methods
  • Statistical Inference & Modeling
  • Mathematical Optimization
  • Dynamic Bayesian Networks
  • Markov Decision Processes (MDP)
• Programming & Tools
  • Expert: MATLAB, Algorithm Development, LaTeX
  • Intermediate: Python, C, MongoDB, Docker, MLOps, Git

Publications

Electromechanical Dynamics of the Heart: A Study of Cardiac Events Hysteresis During Stress Test

Karimi, S., Karimi, Sh., Shah, A. J, Clifford, G. D & Sameni, R. (2024). "Electromechanical Dynamics of the Heart: A Study of Cardiac Events Hysteresis During Stress Test." arXiv preprint arXiv:2410.19667, Under Review at IEEE Journal of Biomedical and Health Informatics.

Tractable maximum likelihood estimation for latent structure influence models with applications to eeg & ecog processing

Karimi, S., & Shamsollahi, M. B. (2023). "Tractable maximum likelihood estimation for latent structure influence models with applications to eeg & ecog processing." IEEE Transactions on Pattern Analysis and Machine Intelligence.

Coupled Hidden Markov Models for Estimating Multivariate Transfer Entropy in Neural Mass Models: A Simulation Study

Karimi, S., & Shamsollahi, M. B. (2022). "Coupled Hidden Markov Models for Estimating Multivariate Transfer Entropy in Neural Mass Models: A Simulation Study." In 29th Iranian Conference on Biomedical Engineering (ICBME).

A New Post-Processing Method Using Latent Structure Influence Models for Channel Fusion in Automatic Sleep Staging

Karimi, S., & Shamsollahi, M. B. (2022). "A New Post-Processing Method Using Latent Structure Influence Models for Channel Fusion in Automatic Sleep Staging." IEEE Journal of Biomedical and Health Informatics.

Tractable inference and observation likelihood evaluation in latent structure influence models

Karimi, S., & Shamsollahi, M. B. (2020). "Tractable inference and observation likelihood evaluation in latent structure influence models." IEEE Transactions on Signal Processing, 68, 5736-5745.

Talks

Conference Proceeding talk 3 on Relevant Topic in Your Field

March 01, 2014

Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA

Talk 2 on Relevant Topic in Your Field

February 01, 2014

Talk at London School of Testing, London, UK

Tutorial 1 on Relevant Topic in Your Field

March 01, 2013

Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA

Talk 1 on Relevant Topic in Your Field

March 01, 2012

Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA

Teaching

Teaching experience 2

Teaching experience 1

Honors & Awards

• 2022: 1st Rank Oral Presentation Bioelectrics Paper - 29th ICBME Conference
• 2021: CFA Level 1 - CFA Institute Investment Foundations Program
• 2018: Designer & Referee of stock prediction competition - Iran’s first AI-based financial prediction competition
• 2012: 10th Rank Scientific Olympiads of Electrical Engineering - 17th Scientific Olympiads for Iran University Students

Professional Certifications

• CFA Level 1 (2021) - CFA Institute Investment Foundations Program

Service and Leadership

• Postdoctoral researcher contributing to biomedical informatics research at Emory University
• Mentor for undergraduate and graduate students in signal processing and machine learning
• Designer and referee for Iran’s first AI-based financial prediction competition (2018)
• Active contributor to interdisciplinary research collaborations