Rosni Vasu

PhD Student (Research Assistant) at University of Zurich.

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Department of Informatics

University of Zurich

Zürich, Switzerland

I’m currently a PhD candidate in Department of Informatics at the University of Zurich, where I’m advised by Prof. Abraham Bernstein.

I have a master’s degree in Artificial Intelligence from the University of Hyderabad. For my master’s thesis, I worked with Prof. Vineet Padmanabhan on the topic of recommender systems. I have worked as a researcher in the cybersecurity and privacy group at Tata Research Development and Design Centre, Pune, India, where I had the privilege to work with Sachin Lodha.

Research Interests: My research focuses on human-machine collaboration for scientific text understanding and reasoning. I am particularly interested in how humans and machines can jointly contribute to the tasks of scientific hypotheses detection and generation. I am also passionate about using large language models to the broader societal benefit.

If you are interested in collaboration, feel free to send me an email.


what's new

Nov 13, 2024 Presented our dataset paper “SciHyp: A Fine-grained Dataset Describing Hypotheses and Their Components from Scientific Articles” at ISWC 2024. Excitingly, our work was nominated for the Best Resource Paper Award! 🏅
Nov 01, 2024 Received UZH Doc.Mobility fellowship :tada: :boom: :sparkles:
Oct 24, 2024 Invited Talk at Research Seminar Series organized by University of Exeter and the University of Sheffield.
Jul 19, 2024 Received Student Travel Grant to attend ISWC 2024 :boom:
Jun 28, 2024 Our dataset paper “SciHyp: A Fine-grained Dataset Describing Hypotheses and Their Components from Scientific Articles” got accepted at ISWC 2024!

selected publications

  1. ISWC
    SciHyp: A Fine-grained Dataset Describing Hypotheses and Their Components from Scientific Articles.
    Vasu, Rosni, Sarasua, Cristina,  and Bernstein, Abraham
    In International Semantic Web Conference (To appear) Nov 2024
  2. AAAI
    Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts.
    Basu, Chandrayee,  Vasu, Rosni,  Yasunaga, Michihiro and 1 more author
    In Association for the Advancement of Artificial Intelligence, AAAI 2023 Feb 2023
  3. HUMAN.AI@AAAI
    Automatic Medical Text Simplification: Challenges of Data Quality and Curation.
    Basu, Chandrayee,  Vasu, Rosni,  Yasunaga, Michihiro and 2 more authors
    In Human Partnership with Medical Artificial Intelligence (HUMAN.AI) ), AAAI Fall 2021 Symposium Nov 2021
  4. PAL@AAAI
    Consent Recommender System: A Case Study on LinkedIn Settings
    Rosni, KV, Shukla, Manish,  Banahatti, Vijayanand and 1 more author
    In PAL: Privacy-Enhancing Artificial Intelligence and Language Technologies at AAAI Spring Symposium Mar 2019