Zhan Su

Zhan Su serves as a Guest Researcher within the Programming Languages and Theory of Computation group at the Department of Computer Science, Faculty of Science, University of Copenhagen. His research bridges theoretical computer science with practical applications in artificial intelligence and privacy.

Education:

• Ph.D. in Computer Science, University of Copenhagen, 2024 (Thesis: Information Propagation in Modular Language Modeling and Web Tracking)

Research Interests:

Dr. Su's work centers on quantum-inspired neural architectures for natural language processing and information retrieval systems. He pioneers density matrix representations for semantic modeling and investigates conversational search mechanisms enhanced by large language models. His research extends to privacy vulnerabilities in educational technology, examining web tracking evolution across digital learning platforms. The integration of quantum computing principles with classical machine learning frameworks represents a distinctive thread throughout his publications.

Publication Trends:

Analysis of Dr. Su's 8 publications (2023-2025) reveals three dominant research trajectories: (1) Quantum-AI hybrid systems (40% of output), featuring entanglement-embedded networks and density matrix word representations; (2) Conversational information retrieval (38%), with innovations in history-aware dense retrieval and query alignment; (3) Privacy/security applications (22%), particularly in online education ecosystems. His 2025 works demonstrate increasing sophistication in quantum-classical model fusion, while 2024 outputs show substantial conference presence at ACL, CIKM, and WWW venues.

Advising and Grants:

No advisory roles or grant funding details are documented in the available materials. Current research appears conducted within collaborative frameworks at the University of Copenhagen.

Labs and Teams:

Dr. Su operates within the Programming Languages and Theory of Computation research environment at DIKU (Department of Computer Science), engaging with interdisciplinary teams focused on language modeling, quantum computing applications, and web security analysis. His collaborations span institutions including the University of Copenhagen's Department of Computer Science and external partners in natural language processing research.