Sotirios A Tsaftaris, PhD

Chancellor's Fellow (Senior Lecturer) @ University of Edinburgh

My name is Sotirios A. Tsaftaris but most people call me Sotos (in Greek Σωτήριος Α. Τσαυτάρης or Σώτος). I am currently with the University of Edinburgh and the Insitute of Digital Communications as a Chancellor's Fellow at a Senior Lecturer grade.

My research interests are machine learning, medical image analysis (medical image computing), image processing, and distributed computing. Core research application domains are computer aided diagnosis in medicine and phenotyping.

Within my web pages, you will find an extended Biography and CV, descriptions of my various research interests as well as a list of publications.

I would like to acknowledge my collaborators, and sponsors and supporters of my research program.

Recent key news

  • Keynote: Invited to give a keynote at Int. Conf. on Artificial Neural Networks ICANN 2018 (Rhodes, Oct 2018)
  • I am now also a Turing Fellow with the Alan Turing Institute.
  • PhD position I am looking for a PhD student for a PhD project in collaboration with Toshiba Medical Visualization Systems. Apply here (Deadline Dec 31st 2017.)
  • PhD position The Turing has an open call for PhD students (Deadline NOV 30). They are competitive but if you have an excellent profile consider applying. (See how to join for more info.)
  • We won (with Ilkay) a best paper award in STACOM 2018 (MICCAI), on joint segmentation/registration in sparse latent spaces.
  • Area chair for ICME 2018: I will serve as an area chair for ICME 2018 (San Diego, USA).
  • Keynote: Invited to give a keynote at Phenome 2018 (Arizona, USA)
  • 3 papers in MICCAI and 2 in ICCV (CVPPP): We have five new conference papers all as orals. Congrats to everyone.
  • Area chair for ICCV 2017: I served as an area chair for ICCV 2017 (Venice).
  • Doctoral symposium chair for ICIP 2018: I will serve as doctoral symposium chair together with Dr Nikos Thomos (Essex, UK) for ICIP 2018 in Athens Greece.
  • New NIH (USA) project funded: I have received an NIH grant together with Prof. Dharmakumar to develop a new non-invasive non-contrast infarct MR imaging approach. My team is in charge of the analysis algorithms.
  • Two new UK projects funded: I have received an EPSRC first grant to develop multimodal deep learning methods for cardiac MRI processing. I have also received a grant from BBSRC (as part of the Grand Challenges Research Fund) to develop affordable phenotyping of roots with colleagues in Ethiopia.
  • CVPPP goes to Venice: The 3rd CVPPP workshop will occur in ICCV 2017 the premier Computer Vision Conference. (I am one of the co-organizers.)
  • SASHIMI goes to Quebec: The SASHIMI workshop will occur again in MICCAI 2017. Visit the website for details. (I am one of the co-organizers.)
  • Keynote: I gave a keynote at the BMVA meeting in London on plants and computer vision (Nov 2016).
  • Always looking for talented PhD students and Postdocs: I am always interested in growing the team. If you have a strong profile please email me and attach a CV.
  • After 5 years in the making, 8 if you count from the start of writing the proposal, finally Phenotiki our affordable plant phenotyping solution is now available.
  • Quoted in article of El Espanol (In Spanish) on the future of DNA storage (my PhD work) as commentary on a recent study by colleagues at Univ. of Washington and Microsoft Research. [PDF copy of the news article].
  • Joined the University of Edinburgh and IDCOM as a Senior Lecturer (US Associate Professor) under the prestigious Chancellor's Fellow program.