Research

Time Series Forecasting, Neural Architecture Search, and Machine Learning

Open to Collaboration

I'm always interested in collaborating on research projects related to time series forecasting, neural architecture search, and machine learning. Feel free to reach out if you'd like to discuss potential collaborations.

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Time Series Forecasting

Online Neural Architecture Search for Time Series

Developing novel approaches for real-time neural architecture optimization in time series forecasting, with applications in stock market prediction and industrial systems.

  • Evolutionary algorithms for continuous architecture adaptation
  • Real-time performance optimization
  • Multi-variate time series handling
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Neural Architecture Search

Evolutionary Neural Architecture Search

Research on automated neural architecture design using evolutionary algorithms, focusing on efficiency and performance optimization.

  • Efficient architecture search strategies
  • Performance optimization techniques
  • Scalable solutions for large-scale problems
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Minimally Supervised Learning

Self-Organizing Maps for Phase Identification

Investigating novel approaches to minimally supervised learning using topological projections in self-organizing maps.

  • Topological data analysis
  • Phase of flight identification
  • Minimal supervision techniques
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