Ekta Vats

Associate senior lecturer/Assistant Professor at Department of Information Technology; Division of Systems and Control

Telephone:
+46 18 471 34 40
E-mail:
ekta.vats@it.uu.se
Visiting address:
Hus 10, Regementsvägen 10
Postal address:
Box 524
751 20 UPPSALA

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Academic merits:
Docent
ORCID:
0000-0003-4480-3158

Short presentation

I am an Assistant Professor in Machine Learning, Docent in Computerised Image Processing, and a Beijer Researcher at The Beijer Laboratory for Artificial Intelligence Research. I lead the Uppsala Vision, Language and Learning group and our research mission is to build fundamental AI/ML methods for computer vision and language modeling to address societal challenges.

Keywords

  • vision-language models (VLMs)
  • large language models (LLMs)
  • video-LLMs
  • machine learning
  • deep learning
  • computer vision
  • image analysis
  • handwritten text recognition
  • OCR
  • natural language processing
  • data science
  • human action recognition
  • artificial intelligence
  • multispectral imaging

Research

Our research is highly interdisciplinary and collaborative, and spans topics such as Large Language Models in Computer Vision and NLP, text/image/video classification, text recognition (OCR, Handwritten), multispectral imaging, and NLP tasks (sentiment analysis, Named entity recognition).

Research group: Uppsala Vision, Language and Learning

Media

Beijer Research Group Profile

Get an understanding of my ongoing research in the lab in the video

https://www.uu.se/download-streamed/18.5def3ede18f3eda4c5c27e02/1715165256503/Ekta%20Vats%20-%20ENG.mp4

Beijer Researcher at the Beijer Foundation

How AI and machine learning can help address societal challenges?

https://www.beijerstiftelsen.se/en/component/zoo/researchers/ekta-vats-en?Itemid=234

Ekta Vats

Publications

Selection of publications

Recent publications

All publications

Articles in journal

Conference papers

Manuscripts (preprints)