Curriculum vitae

Main Research Areas
  • Topic of PhD thesis: "Automated Processing of Biomedical Images in Infection Research"
Professional Career
Since 2021 PhD student at the Hans Knöll Institute
2018 - 2021 M.Sc. in Biomedical Engineering at the FH Aachen of Applied Sciences, Aachen, Germany
2017 -2018 Product Specialist am Karl Storz Endoscopy India Private Limited, India
2015 - 2017 Senior Application Engineer am Healthware Private Limited, India
2014 -2015 Service Engineer am South India Surgical Company Limited, India
2010 - 2014 B.Tech in Biomedical Engineering am JIS College of Engineering, India

Publications

Sarkar A, Praetorius JP, Figge MT# (2024) Deep learning-based characterization of neutrophil activation phenotypes in ex vivo human Candida blood infections. Comput Struct Biotechnol J 23, 1260-1273.
Belyaev I*, Marolda A*, Praetorius JP, Sarkar A, Medyukhina A, Hünniger K, Kurzai O, Figge MT (2022) Automated characterisation of neutrophil activation phenotypes in ex vivo human Candida blood infections. Comput Struct Biotechnol J 20, 2297-2308.
Sarkar A (2022) Explainable aI and its applications in healthcare. In: Mehta M, Palade V, Chatterjee I (eds.) Explainable AI: Foundations, Methodologies and Applications. 232, pp. 111-133. Springer. ISBN: 3031128079, 978. (Review)
Sarkar A, Vandenhirtz J, Nagy J, Bacsa D, Riley M (2021) Identification of images of COVID-19 from chest X-rays using deep learning: Comparing COGNEX vision Pro deep learning 1.0™ software with open source convolutional neural networks. SN Comput Sci 2(3), 130.