Serdar Kadıoğlu Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

John Brown University

faculty

14 h-index 62 pubs 913 cited

Research Areas

Constraint Satisfaction and Optimization Advanced Bandit Algorithms Research Recommender Systems and Techniques Topic Modeling Data Management and Algorithms

Links

ORCID

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OverviewAI-generated summary

Serdar Kadıoğlu is a faculty member at John Brown University whose research spans several areas of artificial intelligence and data science. He contributes to the development of constraint satisfaction and optimization techniques, alongside advanced bandit algorithms. His work appears to be both theoretical and applied, as evidenced by publications in both foundational algorithms and application-oriented domains such as recommender systems. Kadıoğlu's recent work includes the development of sequence-to-pattern generation for constraint-based sequential pattern mining and the use of expressive Boolean formulas for explainable AI. He also explores Bayesian deep learning to model uncertainty for improved personalized recommendations.

Kadıoğlu's primary research interests lie in the intersection of data management, algorithms, and intelligent systems.

Metrics

  • h-index: 14
  • Publications: 62
  • Citations: 913

Selected Publications

  • Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problems (2025) DOI
  • Integrated Vehicle Routing and Monte Carlo Scheduling Approach for the Home Service Assignment, Routing, and Scheduling Problem (2021) DOI
  • Non-Model-Based Search Guidance for Set Partitioning Problems (2021) DOI

Collaborators

Researchers in the database who share publications

Yuri Malitsky John Brown University 1 shared publication Shamay G. Samuel John Brown University 1 shared publication

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