Ekta Vats
Forskningsingenjör vid Institutionen för ABM, Centrumbildning i Digital Humaniora
- E-post:
- ekta.vats[AT-tecken]abm.uu.se
- Besöksadress:
- Engelska parken
Thunbergsvägen 3H
752 38 Uppsala - Postadress:
- Box 625
751 26 UPPSALA
Gästforskare vid Institutionen för informationsteknologi, Vi3; Bildanalys
- Besöksadress:
- hus 10, Lägerhyddsvägen 1
- Postadress:
- Box 337
751 05 UPPSALA
Kort presentation
Detta stycke finns inte på svenska, därför visas den engelska versionen.
I am a Research Engineer/Data Scientist at The Centre for Digital Humanities Uppsala (CDHU), where I work as an image analysis and data science expert. By training, I am a PhD in Computer Vision, and also work as an AI scientist (now part-time) at Silo AI AB.
I am a text recognition expert and my research is focussed on Document Image analysis, Handwritten Text Recognition, Optical Character Recognition, Computer Vision and Machine Learning.
Nyckelord: image analysis digital humanities data science machine learning human action recognition handwritten text recognition artifical intelligence ocr
Detta stycke finns inte på svenska, därför visas den engelska versionen.
I am a Research Engineer/Data Scientist at the Centre for Digital Humanities Uppsala where I work as an image analysis and data science expert. I am interested in investigating how research-oriented AI solutions can be adopted in real-world applications in the field of Humanities and Social Science. At CDHU, I would like to help scholars and researchers gain an understanding of AI and data-driven methods, teach relevant courses, share knowledge through creative workshops, and also support their infrastructure needs.
By training, I am a PhD in Computer Vision, and also work as an AI Scientist (now part-time) at Silo AI Stockholm, and prior to that, as a researcher/postdoc at the Center for Image Analysis at Uppsala University. I have also worked as a Computer Scientist AI/HTR at Folkrörelsearkivet for Uppsala Län on the Labour’s Memory project, which aimed at making large scale material from The Swedish Trade Union Confederation-sphere (from the 1880s until today) available and accessible.
Detta stycke finns inte på svenska, därför visas den engelska versionen.
Research Aim: Build innovative data‑driven AI solutions using expertise in Text recognition (OCR, HTR), Document Image analysis, Computer Vision, AI and Machine Learning. My background lies in both traditional image processing/computer vision methods (Hidden Markov Models, keypoint-based word spotting, etc.) and also the current state-of-the-art Recurrent Neural Network (RNN) and attention-based deep learning approaches.
Kontakta katalogansvarig vid den aktuella organisationen (institution eller motsv.) för att rätta ev. felaktigheter.
