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

07-2024 Received Student Travel Grant to attend ISWC 2024 :boom:
06-2024 Our dataset paper “SciHyp: A Fine-grained Dataset Describing Hypotheses and Their Components from Scientific Articles” got accepted at ISWC 2024!
04-2024 Our paper “Single-Label Multi-Modal Field of Research Classification” got accepted at NSLP @ ESWC 2024 :raised_hands:
02-2024 Our system SLAMFORC ranked first position in the FoRC - Subtask I at NSLP 2024 at ESWC 2024 :trophy:
02-2024 Thesis Supervision: Master student Stefanos Konstantinou successfully defended :tada:

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
    Mar 2019