Daniel Karapetyan

Daniel Karapetyan is an Assistant Professor at the School of Computer Science, University of Nottingham, and a member of the Computational Optimisation and Learning Lab. His research spans Artificial Intelligence, Data Science, Operational Research, and Optimization, with applications in transportation, logistics, satellite mission planning, and access control.

• Education:
  • PhD in Computer Science, Royal Holloway, University of London (2007–2010)
  • BSc/MSc in Computer Science, Bauman Moscow State Technical University (2001–2007)

His research interests focus on the automated design of heuristic algorithms, multi-objective optimization, and parameter tuning for machine learning and combinatorial problems. He integrates Large Language Models (LLMs) and hyperparameter optimization into practical systems, addressing real-world challenges in airport sequencing, TV ad scheduling, and electric vehicle range prediction.

Notable scientific contributions include the CORS Practice Prize (2014) for ferry scheduling work and pioneering fixed-parameter algorithms in security-related optimization problems. His publications emphasize combinatorial optimization, Markov Chain methods, and automated algorithm configuration.

Teaching roles include module convener for COMP3008: Knowledge Representation and Reasoning, personal tutoring for COMP1002, and supervision of COMP2002: Software Engineering Group Project. He also offers PhD supervision in areas like AI for optimization, interpretability in ML, and emergency department coordination.