Viktor Schlegel
Deputy Director, IN-CYPHER programme at Imperial Global Singapore, Imperial's first dedicated research centre abroad; Honorary Lecturer with University of Manchester
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Hi, I am Viktor, AI researcher. My research interests lie in the application of Language Technology (such as Large Language Models) to various specialist domains, such as healthcare.
I am concerned with questions such as
- What are the specific challenges of different domains and which fundamental capabilities are required?
- How can we adapt Language Technology solutions to address these challenges adequatly?
- How can we robustly evaluate these adaptation capabilities and how representative are these evaluations of real-world scenarios?
Currently, I am based in Singapore where I manage Imperial College London’s IN-CYPHER research programme that concerns itself with protecting the medical devices in Singapore’s hospitals against cybersecurity threats. Within the programme, my research is focussed on algorithms for security and privacy to address the challenges of confidentiality and data sharing in the context of healthcare.
Prior to that, I was working with with ASUS AICS in Singapore (2022-2024), where I was conducing research on data-driven intelligent hospital information systems. Before that, I was a lecturer at the University of Manchester (2020-2022). There, I also obtained my PhD in Computer Science, supervised by Dr Riza-Batista Navarro and Prof. Goran Nenadic (2018-2021). Prior to my PhD, I obtained my B.Sc. and M.Sc. in Computer Science at the University of Passau (2011-2017) and I worked at Siemens ProductCERT in Munich (2016-2017).
selected publications
2025
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MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic DialoguesIn AAAI, 2025
2024
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Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers?In EMNLP, 2024
2023
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Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive SummarisationIn ACL, 2023
2022
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WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign LanguageIn ACL, 2022
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Can Transformers Reason in Fragments of Natural Language?In EMNLP, 2022