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Institutionen för informationsteknologi

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

Forskare vid Institutionen för informationsteknologi, Visuell information och interaktion

E-post:
ekta.vats[AT-tecken]it.uu.se
Telefon:
018-471 7004
Besöksadress:
Rum POL 2104b ITC, hus 1, 2 och 4, Lägerhyddsvägen 2
Postadress:
Box 337
751 05 UPPSALA

Kort presentation

Detta stycke finns inte på svenska, därför visas den engelska versionen.

I am a Research Engineer (50%) at the Centre for Digital Humanities, Dept. of ALM, Uppsala University, and also a Computer Scientist AI/HTR (50%) at Folkrörelsearkivet för Uppsala Län, working on the Labour's Memory project.

My research interests broadly span computer vision, image processing, machine learning and handwritten text recognition, with applications in Digital Humanities and Social Sciences.

Nyckelord: image analysis digital humanities data science machine learning human action recognition handwritten text recognition computer vision fuzzy set theory

Detta stycke finns inte på svenska, därför visas den engelska versionen.

About me

I am a computer vision researcher and a data scientist. I received my PhD in Computer Vision from University of Malaya in 2015. My doctoral work focused on solving the problem of early human action detection, with potential application in fall detection. For my postdoctoral research, I worked at the Center for Image Analysis, Uppsala University. My postdoc focussed on development of computational methods and tools for handwritten text recognition. I have also worked as an AI Scientist at Silo AI.

I am currently a Research Engineer (50%) at CDHU, Dept. of ALM, Uppsala University, and also a Computer Scientist AI/HTR (50%) at Folkrörelsearkivet för Uppsala Län, working on the Labour's Memory project.

Education

Ph.D. Computer Vision (Computer Science), University of Malaya, Kuala Lumpur, Malaysia, 2016.

M.Sc. Computer Science, VIT University, Vellore, India, 2012.

B.Sc. (Honors) Computer Science, Hansraj College, University of Delhi, 2010.

Detta stycke finns inte på svenska, därför visas den engelska versionen.

My research interests broadly span computer vision, image processing, machine learning and fuzzy set theory. Some of the research problems I worked on during my PhD include image and video data analysis, motion tracking, action classification, early human action detection, and scene image understanding. The bulk of my doctoral work involved solving the problem of human action recognition and detecting ongoing human action as early as possible i.e. after an action starts, but before it finishes. This can potentially be useful in situations like monitoring elderly patients, babies, etc.

I find exploring new research challenges very satisfying as it accelerates learning at a personal level, and often enables novel out-of-the-box solutions. Therefore, during my postdoctoral work, I explored historical handwritten text recognition, which is a cross-domain research involving analysis of handwritten text manuscripts using computational methods from image analysis and linguistics. In general, I worked towards developing algorithms to improve historical document readability and render them searchable, where I explored document image binarization, modelling document quality metrics using surrogates, designing feature descriptor tailor-made for text images, and handwritten word spotting using training-free approaches. My recent work includes large-scale image analysis and machine learning for digital palaeography, where I explored computerized methods to automatically analyze Swedish medieval charters and Icelandic manuscripts.

Kontakta katalogansvarig vid den aktuella organisationen (institution eller motsv.) för att rätta ev. felaktigheter.

Ekta Vats
Senast uppdaterad: 2021-03-09