Scholar
Viktor Schlegel
Google Scholar ID: m4473TAAAAAJ
Deputy Director IN-CYPHER Programme @ IGS, Imperial College London
Citations & Impact
Citations
455
H-index
14
i10-index
16
Publications
20
Co-authors
28
list available
Publications
Resume (English only)
Academic Achievements
- - MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues, AAAI, 2025
- - Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers?, EMNLP, 2024
- - Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation, ACL, 2023
- - WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language, ACL, 2022
- - Can Transformers Reason in Fragments of Natural Language?, EMNLP, 2022
Research Experience
- - Deputy Director, IN-CYPHER programme, Imperial Global Singapore, focused on protecting medical devices in Singapore’s hospitals against cybersecurity threats (current)
- - Researcher, ASUS AICS, Singapore, conducting research on data-driven intelligent hospital information systems (2022-2024)
- - Lecturer, University of Manchester (2020-2022)
- - Work experience at Siemens ProductCERT, Munich (2016-2017)
Education
- - PhD in Computer Science, University of Manchester, supervised by Dr. Riza-Batista Navarro and Prof. Goran Nenadic (2018-2021)
- - M.Sc. in Computer Science, University of Passau (2011-2017)
- - B.Sc. in Computer Science, University of Passau (2011-2017)
Background
- AI researcher with research interests in the application of Language Technology (such as Large Language Models) to various specialist domains, particularly in healthcare. Concerned with specific challenges of different domains, adaptation of Language Technology solutions, and robust evaluation of these adaptations.
