Adj/Prof Suominen received her PhD in Computer Science and MSc in Applied Mathematics (includes BS) in the University of Turku in Turku, Finland in 2009 and 2005, respectively. Her PhD dissertation was approved with honours of belonging to the ten percent elite of the field internationally. Her MSc dissertation was commissioned by the national Turku PET Centre. Hanna joined ANU as a Senior Lecturer and Data61 as the Team Leader of Natural Language Processing within the Machine Learning Research Group after working in Data61/NICTA as a Senior Researcher and Researcher and the University of Turku as a Turku Centre for Computer Science (TUCS) Graduate Research Assistant, Coordinator, and Lecturer. Her most important research visits include the Microsoft Research Cambridge in the UK, Austrian Institute of Technology (AIT), and University of California, San Diego, USA.
Adj/Prof Hanna J Suominen develops and evaluates Statistical Machine Learning methods for Text Analytics and Health. Please do not hesitate to contact her for research collaboration or summer/long/honours/masters/doctors projects.
Hanna has 100+ peer-reviewed papers with over sixty co-authors from ten countries, including, for example, the US Harvard University, Swedish Karolinska Institutet University, and German Max Planck Institute. She considers the following co-authored papers as her three most important publications: Benchmarking clinical speech recognition and information extraction: New data, methods and evaluations (JMIR Medical Informatics 2015, Impact Factor 4.669), Capturing patient information at nursing shift changes: Methodological evaluation of speech recognition and information extraction (Journal of the American Medical Informatics Association 2014, Impact Factor 3.932), and Overview of the ShARe/CLEF eHealth EvaluationLab 2013 (Lecture Notes in Computer Science 2013).
Hanna has been shortlisted to the top 15 per cent in the AU&NZ Women in Science in 2013, belonged within the top teams in two health language technology challenges in 2007-2011, and won two best paper awards in 2006 and 2007. She has won a best business-plan award and several competitive research and commercialisation grants for both herself and her team. Her teaching has been rated as excellent by both students and staff in 2012 and 2013.