SNII Level: 1
Education:
PhD in Applied Mathematics (Stochastic Processes)
Projects:
- Pattern identification in DNA sequences,
- Financial agents,
- Battery optimization, etc.
Research Interests:
- Stochastic processes,
- Reinforcement learning,
- Markov and semi-Markov chains,
- Finance.
Thesis:
Financial agents in stochastic market environments using reinforcement learning
Publications:
- Using semi-Markov chains to solve semi-Markov processes
- Disease Spread Model in Structurally Complex Spaces: An Open Markov Chain Approach
- Identification of words in biological sequences under the semi-Markov hypothesis
- Autonomous UAV Landing via Visual Servoing and Semi-Markov Decision Processes
- Properties of words and competing risk processes under semi-Markov hypothesis
- Asymptotic properties of words in semi-Markov sequences
- How to predict stock prices of trillion dollar club companies using deep learning analysis?
- Integrating Sentiment Analysis and Community Detection in Long Short-Term Memory Time Series Predictions: The WGA Strike Case
- Identification of Patterns in a Semi-Markov Chain
- Optimizing UAV Task Allocation with Enhanced Battery Efficiency Using Semi-Markov Decision Processes