ÑÇÖÞAV

Dr. Wojtusiak, Professor of Health Informatics and Director of theÌýMachine Learning and Inference Laboratory, has expertise that spans machine learning, health informatics, artificial intelligence in clinical decision support and knowledge discovery in medical data, and a wide range of applications of these fields in health care. His particular area of interest is in developing algorithms that derive simple, transparent and usable models from complex health data to predict patient and population outcomes. He studies how to create and evaluate reproducible, unbiased and trustworthy algorithms and models.

Dr. Wojtusiak serves as the Division Director for Health Informatics in the Department of Health Administration and Policy. He oversees undergraduate, master’s and doctoral programs in health informatics. Dr. Wojtusiak teaches several courses focused on machine learning, data mining, artificial intelligence and computing applied in medicine, healthcare and individual/population health.

He authored or co-authored over 100 research publications and presentations and continues to collaborate with multiple national and international institutions.

Research

Research Interests

• Health Informatics
• Artificial Intelligence
• Machine Learning
• Clinical decision support
• Population Health
• Computational Methods in HealthÌý

Publications

For complete list, see

• Wojtusiak, J.Ìýand Asadzadehzanjani, N.,ÌýÌýHEALTHINF 2022, 5, 713-720, 2022.

• Wojtusiak, J., Alemi, F., Asadzadehzanjani, N., Levy, C. and Williams, A.,ÌýÌýBMC Medical Informatics and Decision Making, 21, 2021.

• Wojtusiak, J., Wang, Y., Vakkalagadda, V., Alemi, F. and Roess, A., "Using Wi-Fi Infrastructure to Predict Contacts During Pandemics,"ÌýIEEE International Conference on Healthcare Informatics, Victoria, Canada, 2021.

• Wojtusiak, J.Ìýand Mogharab Nia, R.,ÌýÌýInternet of Things, Elsevier, 2021 (online since 2019).

• Wojtusiak, J.,Ìý"Reproducibility, Transparency and Evaluation of Machine Learning in Health Applications,"ÌýHEALTHINF, 2021.

• Wojtusiak, J., Asadzadehzanjani, N., Levy, C., Alemi, F. and Williams, A.,Ìý"Online Decision Support Tool that Explains Temporal Prediction of Activities of Daily Living (ADL),"ÌýHEALTHINF, 2021.

• Wojtusiak, J., Bagchi, P., Durbha, S., Mobahi, H., Mogharab Nia, R. and Roess, A.,Ìý"COVID-19 Symptom Monitoring and Social Distancing in a University Population,"ÌýJournal of Health Informatics Research, 2021.

• Wojtusiak, J., Alemi, F., Asadzadehzanjani, N., Levy, C. and Williams, A.,Ìý"Computational Barthel Index: an automated tool for assessing and predicting activities of daily living among nursing home patients,"ÌýBMC Medical Informatics and Decision Making, 21, 2021.

• Wojtusiak, J., Bagchi, P., Durbha, S., Mobahi, H., Mogharab Nia, R. and Roess, A.,Ìý"COVID-19 Symptom Monitoring and Social Distancing in a University Population,"ÌýIEEE International Conference on Healthcare Informatics (ICHI), November, 2020.

• Kheirbek, R., Alemi, Y.,ÌýWojtusiak, J., Kheirbek, L., Madison, S., Fokar, A., Doukky, R. and Moore, H.J.,ÌýÌýAmerican Journal of Hospice and Palliative Medicine, 2019.

Honors and Awards

• Shirley S. Travis Habit of Excellence Award, 2016, College of Health and Human Services, ÑÇÖÞAV
• Award for Outstanding Doctoral Work, 2008, ÑÇÖÞAV Department of Computational and Data Sciences
• Best poster presentation Award, 2007, Sixth International Conference on Machine Learning and Applications

Degrees

• PhD, Computational Sciences and Informatics, ÑÇÖÞAV
• MS, Computer Science, Jagiellonian University, Krakow, Poland