Associate Professor Hanna Suominen
Adjunct Professor in computer science, University of Turku (UTU), Finland, 2013; PhD in computer science, UTU, 2009; MSc (incl. BSc) in applied mathematics, UTU, 2005
Associate Professor and Research Group/Team Leader
College of Engineering & Computer Science
T:
+61 (0)431 913 826
Biography
Associate Professor in Computer Science @anucecs
Research Team Leader in Machine Learning @Data61news
Research Program Leader in Big Data @AnuOur
Associate Professor Hanna Suominen, with over 15 years’ experience in longitudinal, multimodal data analytics for saving, structuring, and summarising data, is bridging the gap between Computer Science (CS) and health/social sciences. Her MSc was awarded in applied mathematics, PhD in CS, and Adj/Prof in CS in the University of Turku, Finland in 2005, 2009, and 2013, respectively. She joined The ANU and Data61 as the Team Leader of TAMPA, Theory and Applications of Multimodal Pattern Analysis within the Machine Learning (ML) Group after working in Data61/NICTA as a Team Leader of Natural Language Processing (NLP) and Senior Researcher in ML. Hanna has over 100 publications with 60 co-authors from 10 countries, including Harvard, Karolinska Institutet, and Max Planck. Her work has been published in the most prestigious journals, cited over 1,200 times, and awarded for best papers, ML/NLP-methods, business-plans, and teaching-units. She has scored competitive grants with a total value of over $10-20 million in the past 2 years alone.
Further Information: https://cecs.anu.edu.au/people/hanna-suominen
Available student projects
See https://cecs.anu.edu.au/people/hanna-suominen#acton-tabs-link--tabs-0-middle-4
Publications
- Desborough, J, Brunoro, C, Parkinson, A et al. 2020, '�It struck at the heart of who I thought I was�: A meta-synthesis of the qualitative literature examining the experiences of people with multiple sclerosis', Health Expectations, vol. online.
- Desborough, J, Brunoro, C, Parkinson, A et al. 2020, 'It struck at the heart of who I thought I was: A meta-synthesis of the qualitative literature examining the experiences of people with multiple sclerosis', Health Expectations, vol. 23, no. 5, pp. 1007-1027.
- Xu, C, Mewburn, I, Grant, W et al 2019, 'PostAc®: A Visual Interactive Search, Exploration, and Analysis Platform for PhD Intensive Job Postings', 57th Annual Meeting of the Association for Computational Linguistics, ACL 2018, ed. Anna Korhonen, David Traum, LluÃs Mà rquez, Association for Computational Linguistics, Stroudsburg, pp. 43-48.
- Mewburn, I, Grant, W, Suominen, H et al 2018, 'A Machine Learning Analysis of the Non-academic Employment Opportunities for Ph.D. Graduates in Australia [IN PRESS]', Higher Education Policy, vol. online, pp. 1-15pp.
- Velupillai, S, Suominen, H, Liakata, M et al 2018, 'Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances', Journal of Biomedical Informatics, vol. 88, pp. 11-19pp.
- Suominen, H, Müller, H, Ohno-Machado, L et al 2017, 'Prerequisites for international exchanges of health information for record research: Comparison of Australian, austrian, Finnish, Swiss, and US policies', 16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017, ed. Z Dongsheng, A Gundlapalli & J Marie-Christine, IOS Press, USA, pp. 1312-1320pp.
- Goeuriot, L, Kelly, L, Suominen, H et al 2017, 'CLEF 2017 eHealth Evaluation Lab Overview', 8th Conference and Labs of the Evaluation Forum (CLEF 2017), Springer Link, Switzerland, pp. 291-303pp.
- Ismail, H, Radwan, I, Suominen, H et al 2017, 'Human Postural Sway Estimation from Noisy Observations ', 12th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2017, Institute of Electrical and Electronics Engineers (IEEE Inc), Piscataway, New Jersey, US, pp. 454-461.
- Ismail, H, Radwan, I, Suominen, H et al 2017, 'Human Postural Sway Estimation from Noisy Observations', 12th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2017, Institute of Electrical and Electronics Engineers (IEEE Inc), Piscataway, New Jersey, US, pp. 454-461pp.
- Ismail, H, Radwan, I, Suominen, H et al 2017, 'Human Postural Sway Estimation from Noisy Observations', 12th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2017, Institute of Electrical and Electronics Engineers (IEEE Inc), Piscataway, New Jersey, US, pp. 454-461pp.
- Suominen, H, Ferraro, G, Nualart, J et al 2017, 'User Study for Measuring Linguistic Complexity and its Reduction by Technology on a Patent Website', 34th International Conference on Machine Learning (ICML 2017), Proceedings of Machine Learning Research, unknown, pp. 8pp.
- Mowery, D, South, B, Christensen, L et al 2016, 'Normalizing acronyms and abbreviations to aid patient understanding of clinical texts: ShARe/CLEF eHealth Challenge 2013, Task 2', Journal of Biomedical Semantics, vol. 7, no. 43, pp. 43-43.
- Yu, C, Chu, B, Ram, R et al. 2016, 'Pairwise FastText Classifier for Entity Disambiguation', Australasian Language Technology Association Workshop (ALTA 2016), ed. Trevor Cohn, Association for Computational Linguistics, Pennsylvania, USA, pp. 175̢̉179pp.
- Kelly, L, Goeuriot, L, Suominen, H et al 2016, 'Overview of the CLEF eHealth evaluation lab 2016', 7th International Conference of the CLEF Association, CLEF 2016, ed. Larsen B.Cappellato, Springer, Evora, Portugal, pp. 255-266.
- Suominen, H, Zhou, L, Goeuriot, L et al 2016, 'Task 1 of the CLEF eHealth Evaluation Lab 2016: Handover Information Extraction', 7th International Conference of the CLEF Association, CLEF 2016, ed. Larsen B.Cappellato, Springer, Evora, Portugal, pp. 1-14pp.
- Mewburn, I, Grant, W, Kizimchuk, S et al. 2016, 'The use of machine learning to analyze job advertisements for doctoral employability', Quality in Postgraduate Research (QPR) 2016, ed. Michelle Picard, Alistair McCulloch, QPR - Quality in Postgraduate Research, Australia, p. 184.
- Mewburn, I, Grant, W, Suominen, H et al 2016, 'What do non academic employers want? A critical examination of 'PhD shaped' job advertisements for doctoral employability', Society for Research into Higher Education (SRHE) Annual International Conference 2016, SRHE and Open University Press, unknown, pp. 3pp.
- Suominen, H, Hanlen, L, Goeuriot, L et al 2015, 'Task 1a of the CLEF eHealth Evaluation Lab 2015', International Conference on Labs of the Evaluation Forum, CLEF 2015, ed. K. gnat,L. Cappellato, Springer International Publishing Switzerland, Switzerland, pp. -.
- Suominen, H, Johnson, M, Zhou, L et al 2015, 'Capturing patient information at nursing shift changes: methodological evaluation of speech recognition and information extraction', Journal of the American Medical Informatics Association, vol. 22, no. E1, pp. E48-E66.
- Pradhan, S, Elhadad, N, South, B et al 2015, 'Evaluating the state of the art in disorder recognition and normalization of the clinical narrative', Journal of the American Medical Informatics Association : JAMIA, vol. 22, no. 1, pp. 143-154.
- Martinez, D, Ananda-Rajah, M, Suominen, H et al 2015, 'Automatic detection of patients with invasive fungal disease from free-text computed tomography (CT) scans', Journal of Biomedical Informatics, vol. 53, pp. 251-260.
- Zhou, L & Suominen, H 2015, 'Information Extraction to Improve Standard Compliance The Case of Clinical Handover', International Joint Conference on Artificial Intelligence IJCAI 2015, ed. Qiang Yang, Michael Wooldridge, AAAI Press, Palo Alto, California, USA, pp. 644-649.
- Suominen, H, Zhou, L, Hanlen, L et al 2015, 'Benchmarking Clinical Speech Recognition and Information Extraction: New Data, Methods, and Evaluations', International Journal of Medical Informatics, vol. 3, no. 2, pp. 1-23.
- Zhou, L, Suominen, H & Hanlen, L 2015, 'Evaluation Data and Benchmarks for Cascaded Speech Recognition and Entity Extraction', 3rd Workshop on Speech, Language and Audio in Multimedia SLAM 2015, Association for Computing Machinery (ACM), USA, pp. 15-18.
- Goeuriot, L, Liadh, K, Suominen, H et al 2015, 'Overview of the CLEF eHealth evaluation lab 2015', International Conference on Labs of the Evaluation Forum, CLEF 2015, ed. K. gnat,L. Cappellato, Springer International Publishing Switzerland, Switzerland, pp. 429-443.
- Adnan, M, Warren, J & Suominen, H 2015, 'Patient empowerment via technologies for patient-friendly personalized language', in Maria Adela Grando, Ronen Rozenblum, David Bates (ed.), Information technology for patient empowerment in healthcare, Walter de Gruyter, Germany, pp. 153-164.
- Suominen, H, Hanlen, L & Paris, C 2014, 'Twitter for health building a social media search engine to improve search, summarization, and visualization', in Amy Neustein (ed.), Text Mining of Web-based Medical Content, De Gruyter, Berlin, Germany, pp. 133-174.
- Johnson, M, Lapkin, S, Long, V et al 2014, 'A systematic review of speech recognition technology in health care', BMC Medical Informatics and Decision Making, vol. 14, pp. 1-14.
- Johnson, M, Sanchez, P, Suominen, H et al 2014, 'Comparing nursing handover and documentation: forming one set of patient information', International Nursing Review, vol. 61, no. 1, pp. 73-81.
- Dawson, L, Johnson, M, Suominen, H et al 2014, 'A usability framework for speech recognition technologies in clinical handover: A pre-implementation study', Journal of Medical Systems, vol. 38, no. 6, pp. 1-9.
- Kelly, L, Goeuriot, L, Suominen, H et al 2014, 'Overview of the ShARe/CLEF eHealth evaluation lab 2014', CLEF 2014 Conference and Labs of the Evaluation Forum, CEUR-WS.ORG, USA, pp. 172-191.
- Donglu, W, Ferraro, G, Suominen, H et al 2014, 'Automated Categorisation of Patent Claims that Reference Human Genome Sequences', Australasian Document Computing Symposium (ADCS 2014), ed. Park L.Zuccon G.Culp, Association for Computing Machinery (ACM), USA, pp. 1-4.
- Suominen, H, Schreck, T, Leroy, G et al 2014, 'Task 1 of the CLEF eHealth Evaluation Lab 2014', CLEF 2014 Conference and Labs of the Evaluation Forum, CEUR-WS.ORG, USA, pp. 1-30.
- Ferraro, G, Suominen, H & Nualart, J 2014, 'Segmentation of patent claims for improving their readability', 3rd Workshop on Predicting and Improving Text Readability for Target Reader Populations (PITR) 2014, ed. Sandra Williams, Advaith Siddharthan, Ani Nenkova, Association for Computational Linguistics, Stroudsburg, PA 18360, USA, pp. 66-73.
- Suominen, H, ed., 2014, Text mining and information analysis of health documents.
- Suominen, H, Schreck, T, Leroy, G et al 2014, 'Task 1 of the CLEF eHealth evaluation lab 2014 visual-interactive search and exploration of eHealth data', CLEF 2014 Conference and Labs of the Evaluation Forum, CEUR-WS.ORG, USA, pp. 1-30pp.
- Suominen, H & Ferraro, G 2013, 'Noise in Speech-to-Text Voice: Analysis of Errors and Feasibility of Phonetic Similarity for Their Correction', Australasian Language Technology Association Workshop ALTA 2013, ed. Sarvnaz Karimi and Karin Vespoor, Queensland University of Technology, Brisbane, pp. 34-42pp.
- Goeuriot, L, Jones, G, Kelly, L et al 2013, 'ShARe/CLEF eHealth Evaluation Lab 2013, Task 3: Information Retrieval to Address Patients' Questions when Reading Clinical Reports', Conference and Labs of the Evaluation Forum, CLEF 2013, ed. Pamela Forner, Henning Muller, Roberto Paredes, Springer, USA, pp. 1-16.
- Suominen, H & Hanlen, L 2013, 'Visual summarisation of text for surveillance and situational awareness in hospitals', Australasian Document Computing Symposium, ADCS 2013, Association for Computing Machinery (ACM), Australia, pp. 89-96.
- Kreiner, K, Immonen, A & Suominen, H 2013, 'Crisis management knowledge from social media', Australasian Document Computing Symposium, ADCS 2013, Association for Computing Machinery (ACM), Australia, pp. 105-108.
- Suominen, H, Salantera, S, Velupillai, S et al 2013, 'Overview of the ShARe/CLEF eHealth Evaluation Lab 2013', Lecture Notes in Computer Science (LNCS), vol. 8138, no. 2013, pp. 212-231.
- Goeuriot, L, Kelly, L, Jones, G et al 2013, 'Creation of a New Evaluation Benchmark for Information Retrieval Targeting Patient Information Needs', The Fifth International Workshop on Evaluating Information Access (EVIA), National Institute of Informatics, Tokyo, Japan, pp. 1-4.
- Pradhan, S, Elhadad, N, South, B et al 2013, 'Task 1: ShARe/CLEF eHealth evaluation lab 2013', Conference and Labs of the Evaluation Forum, CLEF 2013, ed. Pamela Forner, Henning Muller, Roberto Paredes, Springer, USA, pp. -.
- Mowery, D, South, B, Christensen, L et al 2013, 'Task 2: ShARe/CLEF eHealth evaluation lab 2013', Conference and Labs of the Evaluation Forum, CLEF 2013, ed. Pamela Forner, Henning Muller, Roberto Paredes, Springer, USA, pp. -.
- Pahikkala, T, Suominen, H & Boberg, J 2012, 'Efficient cross-validation for kernelized least-squares regression with sparse basis expansions', Journal of Machine Learning Research, vol. 87, no. 3, pp. 381-407.
- Suominen, H, Kreiner, K, Wu, M et al 2012, 'Towards Ease of Building Legos in Assessing eHealth Language Technologies A RESTful Laboratory for Data and Software', Cross-Language Evaluation of Methods, Applications, and Resources for eHealth Document Analysis, CLEF 2012, ed. Karlgren J. Womser-Ha, CEUR Workshop Proceedings, tbc, pp. 1-5.
- Suominen, H, Basilakis, J, Johnson, M et al 2012, 'Clinical Speech to Text Evaluation Setting', Cross-Language Evaluation of Methods, Applications, and Resources for eHealth Document Analysis, CLEF 2012, ed. Karlgren J. Womser-Ha, CEUR Workshop Proceedings, tbc, pp. 1-5.
- Planitz, B, Hanlen, L & Suominen, H 2012, 'Innovating health: can living labs succeed?', Australian National Health Informatics Conference (HIC 2012), Health Informatics Society of Australia (HISA), Australia, pp. 1-3.
- Suominen, H 2012, 'Towards an international electronic repository and virtual laboratory of open data and open-source software for telehealth research: Comparison of international, Australian and Finnish privacy policies', International Conference on Global Telehealth 2012, Conference Organising Committee, Sydney, NSW, pp. 153-160.
- Martinez, D, Suominen, H, Ananda-Rajah, M et al 2012, 'Biosurveillance for Invasive Fungal Infections via Text Mining', Cross-Language Evaluation of Methods, Applications, and Resources for eHealth Document Analysis, CLEF 2012, ed. Karlgren J. Womser-Ha, CEUR Workshop Proceedings, tbc, pp. 1-4.
- Suominen, H 2012, 'CLEFe Health 2012: The CLEF 2012 workshop on cross-language evaluation of methods, applications, and resources for ehealth document analysis', Cross-Language Evaluation of Methods, Applications, and Resources for eHealth Document Analysis, CLEF 2012, ed. Karlgren J. Womser-Ha, CEUR Workshop Proceedings, tbc, pp. 2pp.
- Su, X, Suominen, H & Hanlen, L 2011, 'Machine Intelligence for Health Information: Capturing Concepts and Trends in Social Media via Query Expansion', Health Informatics Conference 2011 (HIC 2011), ed. Machine Intelligence for Health Information: Capturing Concepts & Trends in Soci, IOS Press, Lansdale PA 19446, pp. 150-157.
- Allvin, H, Carlsson, E, Dalianis, H et al 2011, 'CHARACTERISTICS OF FINNISH AND SWEDISH INTENSIVE CARE NURSING NARRATIVES A COMPARATIVE ANALYSIS TO SUPPORT THE DEVELOPMENT OF CLINICAL LANGUAGE TECHNOLOGIES', Journal of Biomedical Semantics, vol. 2 Suppl 3, no. Suppl 3, pp. S1-S1.
- Karimi, S, Martinez, D, Suominen, H et al 2011, 'Search for medical records: NICTA at TREC 2011 medical track', 20th Text REtrieval Conference, TREC 2011, NIST Special Publication, United States, pp. -.
- Suominen, H & Salakoski, T 2010, 'Supporting Communication and Decision Making in Finnish Intensive Care with Language Technology', Journal of Healthcare Engineering, vol. 1, no. 4, pp. 595-613.
- Allvin, H, Carlsson, E, Dalianis, H et al 2010, 'Characteristics and Analysis of Finnish and Swedish Clinical Intensive Care Nursing Narratives', Annual Conference of the North American Chapter of the Association for Computational Linguistics, Association for Computational Linguistics, New York, pp. 53-60.
Projects and Grants
Grants information is drawn from ARIES. To add or update Projects or Grants information please contact your College Research Office.
- PostAc Psychology ANU-UC Collaborative Research Agreement (Secondary Investigator)
- Automated glossary generation for effective and efficient information extraction from text data / Discovering causal relations in COVID-19 associated literature (Secondary Investigator)
- Rapid and objective eye and brain testing for better management of ophthalmic and neurological diseases (Secondary Investigator)
- Possible approaches to using automation and machine learning for creating and executing disposal authorisations issued by the National Archives of Australia under the Archives Act (Primary Investigator)
- Development of a Learning Interface Platform for use in Machine Learning System Coding (Secondary Investigator)
- CSIRO-Data61 Collaborative Research Project - Text Analytics (Primary Investigator)
