معرفی
Cezary Kaliszyk is a Professor in Theoretical Computer Science at the University of Melbourne, previously affiliated with the University of Innsbruck. He is actively involved in research and leadership in formal methods, automated reasoning, and machine learning for theorem proving.
Research Interests:
- Automated Reasoning and Interactive Theorem Proving
- Formalized Mathematics and Proof Automation
- Machine Learning for Logic and Theorem Proving
- Integration of AI with Proof Assistants (Coq, Isabelle)
- Dependent Type Theory and Higher-Order Logic
His recent publications (2023–2025) span topics in dependently-typed logic, learning for proof guidance, formalization of surreal numbers, and blockchain-based formal methods. The works consistently bridge formal logic with machine learning, emphasizing automation, explainability, and cross-system integration.
Scientific Leadership and Projects:
- Principal Investigator, ERC project FormalWeb3
- Lead Developer, CoqHammer, Tactician, ProofWeb
- WG5 Leader, COST Action EuroProofNet (until 2024)
- Contributor to HOL(y)Hammer, Isabelle Enigma
He supervises multiple PhD students and has mentored several graduates in formal methods and AI. He teaches courses in theoretical computer science, logic, and machine learning. There are no listed awards in the provided data, but his extensive publication record and project leadership indicate significant recognition in the field.
Labs and Research Groups:
He leads a research group focused on formal methods and learning-based reasoning, collaborating internationally on projects involving proof automation, formal libraries, and semantic technologies.
