About Me

I’m Farid, a PhD student in computer science at Linköping University. I do research at the intersection of machine learning and symbolic reasoning.

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Publications

A Comparison of Sampling Strategies for Learning PoliciesICAPS’26 RIPL

Evaluating different sampling strategies for learning policies in classical planning, analyzing their effect on policy quality and generalization.

[paper]

Combining Heuristics and Transition Classifiers in Classical PlanningECAI’25

Integrating learned transition classifiers with search heuristics to improve the efficiency of classical planning algorithms.

[paper] [slides]

Federated Learning for Power Consumption Forecasting in Radio Base StationsMSc Thesis ’23

Applying federated learning to forecast power consumption across radio base stations while preserving data privacy.

[thesis] [slides]

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Contact

email - scholar - github - linkedin