Foteini Liwicki
Foteini Liwicki

Foteini Liwicki

Senior Lecturer
Luleå University of Technology
Machine Learning
Embedded Internet Systems Lab
Department of Computer Science, Electrical and Space Engineering
foteini.liwicki@ltu.se
+46 (0)920 491004
A3579 Luleå

Biography

Foteini Simistira Liwicki received her PhD diploma from the School of Electrical and Computer Engineering, NTUA, Greece, in the field of Pattern Recognition in 2015 with the title “Recognition of online handwritten mathematical expressions”. From 1997 till 2015, she worked as Research Associate in the Institute of Language and Speech Processing, ATHENA R.C., where she was mainly responsible for research programs in the field of Pattern Recognition, Machine Learning and Natural Language Processing. She was also highly involved in the design and development of innovative educational platforms (targeting mainly high school education in Greece but also in other European countries). From 2015 till June 2019 she worked as a PostDoc fellow in the University of Fribourg (DIVA research group) in the field of Document Image Analysis and Database generation. From June 2018 till June 2019 she worked as a PostDoc fellow with the Machine Learning group at the Luleå University of Technology, Sweden.

From July 2019, she is working as a Senior Lecturer at the Luleå University of Technology, in the area of Machine Learning and Artificial Intelligence.

She served as a scientific member of the Program Committee for 13th IAPR International Workshop on Document Analysis Systems (DAS2018) and ICDAR-OST-1st International Workshop on Open Services and Tools for Document Analysis held on ICDAR2018, Japan. She was the main organizer of the ICDAR2018 Competition on layout analysis for challenging medieval manuscripts held on ICDAR2018, Japan. Currently she is organizing the competition on Historical Document Reading Challenge on Large Structured Family Records (ICDAR-2019-HDRC-Chinese) that will take place at ICDAR2019

She serves as a reviewer in international scientific journals and conferences (e.g. Pattern Recognition Letters, DAS, ICFHR, ICDAR). She is also a scientific member of the Institute of Document Analysis and Knowledge Science, Kyoto, Japan and PC member for ICDAR2019 and ICDAR-OST-2nd International Workshop on Open Services and Tools for Document Analysis, ICDAR2019, Australia.

Research interests

  • Machine Learning
  • Artificial Intelligence (AI)
  • Brain understanding
  • Behavior Analysis
  • Natural Language Processing (NLP)
  • Document Analysis
  • Handwriting recognition

Medical Neuroscience by Duke University on Coursera. Certificate earned at Wednesday, July 3, 2019 11:09 AM GMT (certificate)

Research activities

  • Program Committee member for ICDAR-OST-1st International Workshop on Open Services and Tools for Document Analysis, part of ICDAR2017
  • Main organizer of the ICDAR2017 Competition on layout analysis for challenging medieval manuscripts - ICDAR2017-HisDoc-Layout-Comp
  • Program Committee member for 13th IAPR International Workshop on Document Analysis Systems - DAS2018
  • Main organizer of the competition on Historical Document Reading Challenge on Large Structured Family Records - ICDAR-2019-HDRC-Chinese
  • Scientific member of the Institute of Document Analysis and Knowledge Science, Kyoto, Japan - IDAKS
  • Program Committee member for ICDAR2019 and ICDAR-OST-2nd International Workshop on Open Services and Tools for Document Analysis - ICDAR2019
  • Competition chair for the International Conference on Document Analysis and Recognition, September 2021, in Switzerland - ICDAR2021
  • Program Committee member for the 14th IAPR International Workshop on Document Analysis Systems - DAS2020
  • Program Committee member for the 25th International Conference on Pattern Recognition - ICPR2020

Evaluation of PhD theses

  • 2019 - External examiner for Stefano Martina - PhD Thesis - Classification of cancer records with deep learning methods, University of Florence, Italy
  • 2019 - External examiner for Qurat ul Ain - PhD Thesis - Segmentation of Urdu Nastalique, University of Engineering and Technology Lahore, Pakistan

Book chapters (2019)

  • “Deep learning for historical document analysis”, to be published in the “Handbook for pattern recognition and computer vision, World Scientific, 2019
  • “DIVA-HisDB: A Precisely Annotated Dataset of Challenging Medieval Manuscripts”, to be published in the “Series in Machine Perception and Artificial Intelligence”, World Scientific, 2019

Teaching

Advanced Data Mining (D7043E), link
Introduction to Artificial Intelligence (D0030E), link

Publications

Chapter in book

Deep learning for historical document anlysis (2020)

Liwicki. F, Liwicki. M
Part of: Handbook Of Pattern Recognition And Computer Vision
Conference paper

ICDAR 2019 Historical Document Reading Challenge on Large Structured Chinese Family Records (2019)

Saini. R, Dobson. D, Morrey. J, Liwicki. M, Liwicki. F
Part of: ICDAR 2019, ICDAR 2019 HDRC Chinese, 2019