Dr. Sania Khaskheli

Assistant Professor

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Biography

Sania Khaskheli is a PhD student at Aalborg University, focusing on research in the intersection of machine learning and local energy markets. Her current PhD project, titled 'ML-LEM: Machine Learning Based Trading Strategies for Local Energy Markets', involves the development of innovative data-driven trading strategies to enhance the efficiency of local energy markets. Through her research, she aims to contribute to the understanding of service usage and the optimization of information accessed from various devices for energy management. Sania's multidisciplinary approach combines elements of machine learning with practical applications in energy distribution and trading, positioning her work at the forefront of sustainable energy solutions.

Research Interests

Experience

PhD Student

2023-01-02 — 2026-01-31

Aalborg University • Aalborg, Denmark

Pursuing a PhD focusing on the development of machine learning-based trading strategies in local energy markets.

Requirements for Aalborg University

Master Program
Requirements
IELTS
Overall
Required:6.5
TOEFL
Total
Required:85
Prerequisites
Relevant Bachelor's degree English proficiency level B
Application Checklist
  • Bachelor's diploma and transcripts
  • Official English translation of documents
  • Proof of English proficiency
  • Copy of passport or ID
  • Curriculum Vitae (CV)
Specialization Notes

Requirements apply generally to Master's programs across departments including Sociology, Business, and Engineering at Aalborg University.