Martin Michalowski, PhD

Associate Professor
Martin Michalowski

Contact

Office Address

6-133 Weaver Densford
308 Harvard St SE
Minneapolis, MN 55455
United States

Education

PhD, University of Southern California
Major: Computer Sciences

MS, University of Southern California
Major: Computer Science

B. CompE, , University of Minnesota
Major: Computer Engineering

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Biography

Bio

Dr. Martin Michalowski is an Assistant Professor in the Population Health and Systems Cooperative Unit in the School of Nursing at the University of Minnesota. Dr. Michalowski's domain of expertise is Artificial Intelligence (AI) with research interests spanning several AI areas of particular importance to medical informatics including data integration, data modeling, machine learning, clinical decision support, and knowledge representation. Automated reasoning, including constraint-based approaches, data analytics using spatio-temporal analysis methods, planning and scheduling, and Bayesian-based machine learning for game playing, rounds out his research background.

His research philosophy in the area of medical informatics is centered on interdisciplinarity and brings advanced AI methods and approaches to clinical decision support, including the mitigation of computerized clinical practice guidelines for complex patients, and personalized medicine. Methodologically, Dr. Michalowski uses automated reasoning to provide clinicians with decision support at the point of care. He also applies problem modeling techniques to capture knowledge required for improving treatment decisions and uses big data analytics to support personalized medicine. He is also involved in the development of mobile educational tools for educators and students where he uses integrated automated reasoning, knowledge representation using ontologies, and human factors design.

Dr. Michalowski is a member of the Association for the Advancement of Artificial Intelligence (AAAI) where he was awarded Senior Member status in 2018. Senior Member status is designed to recognize AAAI members who have achieved significant accomplishments within the field of artificial intelligence. He is also a member of the American Medical Informatics Association (AMIA) and is a program committee member for conferences including AMIA, AIME, and AAAI, among others. Dr. Michalowski serves on various grant review committees and he is co-chair of the International Workshop on Health Intelligence (W3PHIAI). His research has been funded by various government agencies including the NIH, DARPA, and the NSF, has been published in over 55 manuscripts across computer science and health informatics venues, has resulted in the co-founding of several companies, and has led to several issued patents.

Research Summary

Research Summary/Interests: Clinical Practice Guideline mitigation using AI to develop treatment plans for multi-morbid patients; Shared decision making; Therapy compliance; Personalized medicine

Honors and Recognition

Fellow of the American Medical Informatics Association, American Medical Informatics Association, 2020

AAAI Senior Member Status, Association for the Advancement of Artificial Intelligence, 2018

Distinguished Paper Award, AMIA Annual Symposium, 2014

Best Poster Award, ISI Intelligent Systems Division Graduate Student Symposium, 2007

Runner-up Presentation, ISI Intelligent Systems Division Graduate Student Symposium, 2006

Best Paper Award, ISI Intelligent Systems Division Graduate Student Symposium, 2006

Canadian National Sciences and Engineering Research Council Postgraduate Scholarship, 2005

Professional Memberships

Upsilon Pi Epsilon, Computer Science Honor Society, USC Chapter, 2003-2008

A.I. Graduate Student Task Force, USC/ISI, 2006-2008

American Medical Informatics Association

Association for the Advancement of Artificial Intelligence

Publications

Selected Publications

Ronquillo, C. E., Peltonen, L. M., Pruinelli, L., Chu, C. H., Bakken, S., Beduschi, A., Cato, K., Hardiker, N., Junger, A., Michalowski, M., Nyrup, R., Rahimi, S., Reed, D. N., Salakoski, T., Salanterä, S., Walton, N., Weber, P., Wiegand, T., Topaz, M., 2021. Artificial intelligence in nursing: Priorities and opportunities from an international invitational think-tank of the Nursing and Artificial Intelligence Leadership Collaborative. Journal of Advanced Nursing, 77 (9): 3707-3717.
doi: https://doi.org/10.1111/jan.14855

Michalowski, M., Wilk, S., Michalowski, W., O’sullivan, D., Bonaccio, S., Parimbelli, E., Carrier, M., Le Gal, G., Kingwell, S., Peleg, M., 2021. A health elearning ontology and procedural reasoning approach for developing personalized courses to teach patients about their medical condition and treatment. International Journal of Environmental Research and Public Health, 18 (14):
doi: https://doi.org/10.3390/ijerph18147355

Shaban-Nejad, A., Michalowski, M., Brownstein, J., Buckeridge, D., 2021. Guest Editorial Explainable AI: Towards Fairness, Accountability, Transparency and Trust in Healthcare. IEEE Journal of Biomedical and Health Informatics, 25 (7): 2374-2375.
doi: https://doi.org/10.1109/JBHI.2021.3088832

Carter-Templeton, H., Pruinelli, L., Michalowski, M., 2021. Toward an Augmented Nursing-Artificial Intelligence Future. CIN - Computers Informatics Nursing, 39 (6): 296-297.
doi: https://doi.org/10.1097/CIN.0000000000000784

Michalowski, M., Wilk, S., Michalowski, W., Carrier, M., 2021. MitPlan: A planning approach to mitigating concurrently applied clinical practice guidelines. Artificial Intelligence in Medicine, 112
doi: https://doi.org/10.1016/j.artmed.2020.102002

Shaban-Nejad, A., Michalowski, M., Buckeridge, D. L., 2021. Preface. Studies in Computational Intelligence 914 v.

Michalowski, M., Rao, M., Wilk, S., Michalowski, W., Carrier, M., 2021. MitPlan 2.0: Enhanced Support for Multi-morbid Patient Management Using Planning. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12721 LNAI 276-286.
doi: https://doi.org/10.1007/978-3-030-77211-6_31

Shaban-Nejad, A., Michalowski, M., Buckeridge, D. L., 2021. Explainability and Interpretability: Keys to Deep Medicine. Studies in Computational Intelligence 914 1-10.
doi: https://doi.org/10.1007/978-3-030-53352-6_1

Bang, G., Barash, G., Bea, R., Cali, J., Castillo-Effen, M., Chen, X. C., Chhaya, N., Dhoopar, R., Dumancic, S., Espinoza, H., Farchi, E., Fioretto, F., Fuentetaja, R., Galley, M., Geib, C., Hernández-Orallo, J., Huang, X., Keren, S., Kim, S., Jaidka, K., Liu, X., Lu, T.,

Ma, Z., Mallah, R., McDermid, J., Michalowski, M., Mirsky, R., Héigeartaigh, S., Ramachandran, D., Segovia-Aguas, J., Shaban-Nejad, A., Shehory, O., Shwartz, V., Srivastava, S., Talamadupula, K., Tang, J., Zhang, D., Zhang, J., 2020. The association for the advancement of artificial intelligence 2020 workshop program. AI Magazine 41 (4): 100-114.
doi: https://doi.org/10.1609/aimag.v41i4.7398

Shaban-Nejad, A., Michalowski, M., Peek, N., Brownstein, J. S., Buckeridge, D. L., 2020. Seven pillars of precision digital health and medicine. Artificial Intelligence in Medicine, 103
doi: https://doi.org/10.1016/j.artmed.2020.101793

Michalowski, M., Moskovitch, R., 2020. Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12299 LNAI v-vii.

Michalowski, M., Shaban-Nejad, A., 2020. Preface. Studies in Computational Intelligence 843 v.

Shaban-Nejad, A., Michalowski, M., 2020. From Precision Medicine to Precision Health: A Full Angle from Diagnosis to Treatment and Prevention. Studies in Computational Intelligence 843 1-7.
doi: https://doi.org/10.1007/978-3-030-24409-5_1

Michalowski, M., 2019. Reports of The Workshops Held at the 2019 AAAI Conference on Artificial Intelligence. AI Magazine, 40 (3): 67-68.

Shaban-Nejad, A., Michalowski, M., 2019. Precision Health and Medicine: A Digital Revolution in Healthcare. Studies in Computational Intelligence Springer International Publishing (Verlag), 843 (1):

Northuis, C. A., Michalowski, M., Lakshminarayan, K., 2019. Using Natural Language Processing Algorithms to Identify Stroke Cases and Stroke Subtypes From Neuroimaging Reports. Stroke, 50 (Supplement 1):

Michalowski, M., Wilk, S., Michalowski, W., Carrier, M., 2019. MitPlan: A Planning Approach to Mitigating Concurrently Applied Clinical Practice Guidelines. In Ria\~no, David, Wilk, S., ten Teije, A. (Eds.), Artificial Intelligence in Medicine Springer International Publishing, 93--103. Cham,

Parimbelli, E., Wilk, S., O'Sullivan, D., Kingwell, S., Michalowski, W., Michalowski, M., 2019. How Do Spinal Surgeons Perceive Impact of Factors Used in Post-Surgical Complication Risk Scores?. (AMIA 2019 Annual Symposium, Washington DC, 2019). 699-706.

Mathiason, M. A., Michalowski, M., Schorr, E., 2019. Using Principal Component Analysis To Derive A Metric For Healthcare System-Related Health Inequity Based On Health Care Supervision Signs/Symptoms. (2019 Omaha System International Conference, Edina, MN, 2019).

Michalowski, M., Austin, R. R., Mathiason, M. A., Schorr, E., 2019. Relationships Among Interventions And Health Literacy Outcomes For Sub-Populations: A Data-Driven Approach. (2019 Omaha System International Conference, Edina, MN, 2019).

Desjardins, C., Schleisman, K., Shackleton, H., Michalowski, M., Cotner, S., Schwerdfeger, A., Gordon, A., Soken, N., Billington, B., 2019. CellEnergy: Cell Biology Can Be Fun. (Connected Learning Summit 2019, Irvine, CA, 2019).

Michalowski, M., Wilk, S., Michalowski, W., Carrier, M., 2019. Mitplan: A planning approach to mitigating concurrently applied clinical practice guidelines. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11526 LNAI 93-103.
doi: https://doi.org/10.1007/978-3-030-21642-9_13

Barash, G., Castillo-Effen, M., Chhaya, N., Clark, P., Espinoza, H., Farchi, E., Geib, C., Gundersen, O. E., Heígeartaig, S., Hernández-Orallo, J., Hori, C., Huang, X., Jaidka, K., Kapanipathi, P., Keren, S., Kim, S., Lanctot, M., Lange, D., Martinez, D., Mattar, M.,

Mausam, Mcauley, J., Michalowski, M., Mirsky, R., Mottaghi, R., Osborn, J. C., Pérolat, J., Schmid, M., Shaban-Nejad, A., Shehory, O., Srivastava, B., Streilein, W., Talamadupula, K., Togelius, J., Yoshino, K., Zhang, Q., Zitouni, I., 2019. Reports of the workshops held at the 2019 aaai conference on artificial intelligence. AI Magazine 40 (3): 67-78.
doi: https://doi.org/10.1609/aimag.v40i3.4981

Parimbelli, E., Szymon, W., O'Sullivan, D., Kingwell, S., Michalowski, W., Michalowski, M., 2019. How Do Spinal Surgeons Perceive The Impact of Factors Used in Post-Surgical Complication Risk Scores?. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2019 699-706.

Michalowski, M., Austin, R. R., Mathiason, M. A., Maganti, S., Schorr, E., Monsen, K. A., 2018. Relationships among interventions and health literacy outcomes for sub-populations: A data-driven approach. Kontakt, 20 (4): e319-e325.
doi: https://doi.org/10.1016/j.kontakt.2018.10.009

Schleisman, K. B., Selcen Guzey, S., Lie, R., Michlin, M., Desjardins, C., Shackleton, H. S., Schwerdfeger, A. C., Michalowski, M., Dubinsky, J. M., 2018. Learning Neuroscience with Technology: a Scaffolded, Active Learning Approach. Journal of Science Education and Technology, 27 (6): 566-580.
doi: https://doi.org/10.1007/s10956-018-9748-y

Peleg, M., Michalowski, W., Wilk, S., Parimbelli, E., Bonaccio, S., O’Sullivan, D., Michalowski, M., Quaglini, S., Carrier, M., 2018. Ideating Mobile Health Behavioral Support for Compliance to Therapy for Patients with Chronic Disease: A Case Study of Atrial Fibrillation Management. Journal of Medical Systems, 42 (11):
doi: https://doi.org/10.1007/s10916-018-1077-4

Shaban-Nejad, A., Michalowski, M., Buckeridge, D. L., 2018. Health intelligence: how artificial intelligence transforms population and personalized health. NPJ Digital Medicine, 1 53.
doi: https://doi.org/10.1038/s41746-018-0058-9

Bouchard, B., Bouchard, K., Brown, N., Chhaya, N., Farchi, E., Gaboury, S., Geib, C., Gyrard, A., Jaidka, K., Keren, S., Khardon, R., Kordjamshidi, P., Martinez, D., Mattei, N., Michalowski, M., Mirsky, R., Osborn, J., Sahin, C., Shehory, O., Shaban-Nejad, A., Sheth,

A., Shimshoni, I., Shrobe, H., Sinha, A., Sinha, A. R., Srivastava, B., Streilein, W., Theocharous, G., Venable, K. B., Wagner, N., Zamansky, A., 2018. Reports of the workshops of the 32nd AAAI conference on artificial intelligence. AI Magazine 39 (4): 45-56.
doi: https://doi.org/10.1609/aimag.v39i4.2823

Peleg, M., Michalowski, W., Wilk, S., Parimbelli, E., Bonaccio, S., O’Sullivan, D., Michalowski, M., Quaglini, S., Carrier, M., 2018. Ideating Mobile Health Behavioral Support for Compliance to Therapy for Patients with Chronic Disease: A Case Study of Atrial Fibrillation Management. Journal of Medical Systems, 42 (11): 1--15. New York,

Michalowski, M., Austin, R. R., Mathiason, A. M., Maganti, S., Schorr, E., Monsen, A. K., 2018. Relationships among interventions and health literacy outcomes for sub-populations: A data-driven approach. Kontakt, 20 (4): e319--e325.
doi: https://doi.org/10.1016/j.kontakt.2018.10.009

Michalowski, M., Wilk, S., Michalowski, W., Carrier, M., 2018. Representing Drug Classes for Mitigating Concurrently Applied CPGs. (AMIA 2018 Annual Symposium, San Francisco, CA, 2018). 270.

Anderson, M., Barták, R., Brownstein, J. S., Buckeridge, D. L., Eldardiry, H., Geib, C., Gini, M., Isaksen, A., Keren, S., Laddaga, R., Lisy, V., Martin, R., Martinez, D., Michalowski, M., Michael, L., Mirsky, R., Nguyen, T., Paul, M. J., Pontelli, E., Sanner, S., Shaban-

Nejad, A., Sinha, A., Sohrabi, S., Sricharan, K., Srivastava, B., Stefik, M., Streilein, W., Sturtevant, N., Talamadupula, K., Thielscher, M., Togelius, J., Tran, S. C., Tran-Thanh, L., Wagner, N., Wallace, B. C., Wilk, S., Zhu, J., 2017. Reports of the Workshops of the 31st AAAI Conference on Artificial Intelligence. AI Magazine 38 (3): 72-82.
doi: https://doi.org/10.1609/aimag.v38i3.2755

Wilk, S., Michalowski, M., Michalowski, W., Rosu, D., Carrier, M., Kezadri-Hamiaz, M., 2017. Comprehensive Mitigation Framework for Concurrent Application of Multiple Clinical Practice Guidelines. Journal of Biomedical Informatics, 66 (2): 52-71.

Wilk, S., Michalowski, M., Michalowski, W., Rosu, D., Carrier, M., Kezadri-Hamiaz, M., 2017. Comprehensive mitigation framework for concurrent application of multiple clinical practice guidelines. Journal of Biomedical Informatics, 66 52-71.
doi: https://doi.org/10.1016/j.jbi.2016.12.002

Wilk, S., O'Sullivan, D., Michalowski, M., Bonaccio, S., Michalowski, W., Peleg, M., Carrier, M., 2017. A Data- and Expert-driven Decision Support Framework for Helping Patients Adhere to Therapy: Psychobehavioral Targets and Associated Interventions. (Workshop on Knowledge Representation for Health Care (KRH4C 2017), Vienna, Austria, 2017). 53-66.

Wilk, S., Fux, A., Michalowski, M., Peleg, M., Soffer, P., 2017. Using Constraint Logic Programming for the Verification of Customized Decision Models for Clinical Guidelines. (16th Conference on Artificial Intelligence in Medicine (AIME’17), Vienna, Austria, 2017). 37-47.

Michalowski, M., Michalowski, W., O'Sullivan, D., Wilk, S., Carrier, M., 2017. AFGuide System to Support Personalized Management of Atrial Fibrillation. (2017 Joint Workshop on Health Intelligence (W3PHIAI 2017), San Francisco, CA, 2017).

Michalowski, W., Michalowski, M., O'Sullivan, D., Wilk, S., Carrier, M., 2017. AFGuide system to support personalized management of atrial fibrillation. AAAI Workshop - Technical Report WS-17-01 - WS-17-15 562-567.

Michalowski, M., Michalowski, W., O'Sullivan, D., Wilk, S., Carrier, M., 2017. AFGuide System to Support Personalized Management of Atrial Fibrillation. (017 Joint Workshop on Health Intelligence (W3PHIAI 2017), 2017, San Francisco, CA017).

Wilk, S., Fux, A., Michalowski, M., Peleg, M., Soffer, P., 2017. Using Constraint Logic Programming for the Verification of Customized Decision Models for Clinical Guidelines. (16th Conference on Artificial Intelligence in Medicine (AIME’17), 2017, Vienna, Austria). 37-47.

Wilk, S., O'Sullivan, D., Michalowski, M., Bonaccio, S., Michalowski, W., Peleg, M., Soffer, P., 2017. A Data- and Expert-driven Decision Support Framework for Helping Patients Adhere to Therapy: Psychobehavioral Targets and Associated Interventions. (Workshop on Knowledge Representation for Health Care (KRH4C 2017), 2017, Vienna, Austria).

Wilk, S., Fux, A., Michalowski, M., Peleg, M., Soffer, P., 2017. Using constraint logic programming for the verification of customized decision models for clinical guidelines. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 10259 LNAI 37-47.
doi: https://doi.org/10.1007/978-3-319-59758-4_4

Wilk, S., Michalowski, M., Michalowski, W., 2017. Personalization of Clinical Practice Guidelines for Patients with Multi-morbidities. (Data Science Algorithms, Techniques and Architectures in Healthcare. Code4Life Scientific, September 14-15, 2017, Poznan, Poland). 6.

Boddy, M., Michalowski, M., Shackleton, H., Bonasso, P., Bell, S., 2015. ConCEPT: Constraint-Checking Editor for Procedure Editing and Tracking. (Workshop on AI in Space at the 2015 International Joint Conferences on Artificial Intelligence (IJCAI), Buenos Aires Argentina 2015). 4-11.

Michalowski, M., Wilk, S., Rosu, D., Kezadri, M., Michalowski, W., Carrier, M., 2015. Expanding a First-Order Logic Mitigation Framework to Handle Multimorbid Patient Preferences. (AMIA 2015 Annual Symposium, 2015, San Francisco, CA). 895-903.

Michalowski, M., Wilk, S., Tan, X., Michalowski, W., 2014. First-Order Logic Theory for Manipulating Clinical Practice Guidelines Applied to Comorbid Patients: A Case Study. (AMIA 2014 Annual Symposium, 2014, Washington DC). 892-898.

Wilk, S., Michalowski, M., Tan, X., Michalowski, W., 2014. Using First-Order Logic to Represent Clinical Practice Guidelines and to Mitigate Adverse Interactions. (Knowledge Representation for Health Care (KR4HC 2014), 2014, Vienna, Austria). 45-61.

Michalowski, M., Wilk, S., Tan, X., Michalowski, W., Rosu, D., 2014. Using First-Order Logic to Represent Clinical Practice Guidelines and to Mitigate Adverse Interactions. (AAAI 2014 Fall Symposium on Expanding the Boundaries of Health Informatics using AI (HIAI’14), 2014, Arlington, VA). 15-21.

Wilk, S., Michalowski, M., Michalowski, W., Farion, K., Lin, D., Hing, M. M., Mohapatra, S., 2013. Clinical Practice Guidelines and Comorbid Diseases: A MiniZinc Representation of Guideline Models for Mitigating Adverse Interactions. Studies in Health Technology and Informatics, 192 (1): 352-356.

Wilk, S., Michalowski, M., Michalowski, W., Farion, K., Lin, D., Mainegra Hing, M., Mohapatra, S., 2013. Clinical Practice Guidelines and Comorbid Diseases: A Mini Zinc Representation of Guideline Models for Mitigating Adverse Interactions. Studies in health technology and informatics, 192 352-6.
doi: https://doi.org/10.3233/978-1-61499-289-9-352

Wilk, S., Michalowski, W., Michalowski, M., Farion, K., Hing, M. M., Mohapatra, S., 2013. Mitigation of adverse interactions in pairs of clinical practice guidelines using constraint logic programming. Journal of Biomedical Informatics, 46 (2): 341 - 353.
doi: https://doi.org/10.1016/j.jbi.2013.01.002

Michalowski, M., Wilk, S., Michalowski, W., Tan, X., Lin, D., Farion, K., Mohapatra, S., 2013. Procedural Approach to Mitigating Concurrently Applied Clinical Practice Guidelines. (First Workshop on Expanding the Boundaries of Health Informatics Using Artificial Intelligence (HIAI’13), 2013, Bellevue, WA). 47-52.

Michalowski, M., Wilk, S., Michalowski, W., Lin, D., Farion, K., Mohapatra, S., 2013. Using Constraint Logic Programming to Implement Iterative Actions and Numerical Measures during Mitigation of Concurrently Applied Clinical Practice Guidelines. (12th Conference on Artificial Intelligence in Medicine (AIME’13), 2013, Murcia, Spain). 17-23.

Boddy, M., Michalowski, M., Schwerdfeger, A., Shackleton, H., Vestal, S., 2011. FUSED: A Tool Integration Framework for Collaborative System Engineering. (2nd Workshop on Analytic Virtual Integration of Cyber-Physical Systems (AVICPS-11), 2011, Vienna, Austria). 1-8.

Wilk, S., Michalowski, M., Hing, M. M., Michalowski, W., Farion, K., 2011. Reconciliation of Concurrently Applied Clinical Practice Guidelines Using Constraint Logic Programming. (6th International Symposium on Health Informatics and Bioinformatics (HIBIT 2011), Izmir, Turkey). 138-144.

Michalowski, M., Boddy, M., Neilsen, M., 2011. Bayesian Learning of Generalized Board Positions for Improved Move Prediction in Computer Go. (Twenty-Fifth Conference on Artificial Intelligence (AAAI-11), 2011, San Francisco, CA). 815-820.

Wilk, S., Michalowski, M., Michalowski, W., Hing, M. M., Farion, K., 2011. Reconciling Pairs of Concurrently Used Clinical Practice Guidelines Using Constraint Logic Programming. (AMIA 2011 Annual Symposium, Washington DC). 944-953.

Michalowski, M., Hing, M. M., Wilk, S., Michalowski, W., Farion, K., 2011. A Constraint Logic Programming Approach to Identifying Inconsistencies in Clinical Practice Guidelines for Patients with Comorbidity. (11th Conference on Artificial Intelligence in Medicine (AIME'11), 2011, Bled, Slovenia). 296-301.

Michal, M., Boddy, M., Carpenter, T., 2010. Coordinated Management of Large- Scale Networks Using Constraint Satisfaction. (Second Workshop on Intelligent Security (SecArt '10), 2010, Atlanta, GA). 2-9.

O'Sullivan, D., Michalowski, W., Michalowski, M., Wilk, S., Farion, K., 2010. Enhanced Document Representation to Support Automatic Retrieval of Clinical Evidence from The Cochrane Library. (KEDDH Workshop at IEEE International Conference on Bioinformatics & Biomedicine (BIBM-10), 2010, Hong Kong, China). 461-466.

Klement, W., Wilk, S., Michalowski, M., Farion, K., 2010. Experienced Physicians and Automatic Generation of Decision Rules from Clinical Data. (Seventh International Conference on Rough Sets and Current Trends in Computing (RSCTC 2010), Warsaw, Poland). 207-216.

Hing, M. M., Michalowski, M., Wilk, S., Michalowski, W., Farion, K., 2010. Identifying Inconsistencies in Multiple Clinical Practice Guidelines for a Patient with Comorbidity. (KEDDH Workshop at IEEE International Conference on Bioinformatics & Biomedicine (BIBM-10), 2010, Hong Kong, China). 447-452.

Michalowski, M., Knoblock, C. A., Bayer, K. M., Choueiry, B. Y., 2007. Exploiting Automatically Inferred Constraint-Models for Building Identification in Satellite Imagery. (15th ACM International Symposium on Advances in Geographic Information Systems (ACM GIS 2007), Seattle, WA). 35-42.

Bayer, K. M., Michalowski, M., Choueiry, B. Y., Knoblock, C. A., 2007. Reformulating CSPs for Scalability with Application to Geospatial Reasoning. (13th International Conference on Principles and Practice of Constraint Programming (CP-07), 2007, Providence, RI). 164-179.

Michalowski, M., Knoblock, C. A., Choueiry, B. Y., 2007. Reformulating Constraint Models Using Input Data. (7th Symposium on Abstraction, Reformulation and Approximation (SARA-07), 2007, Whistler, Canada). 402-404.

Michalowski, M., 2007. Exploiting Problem Data to Refine Models of Constraint Problems. (13th International Conference on Principles and Practice of Constraint Programming (CP-07), Doctoral Programme, 2007, Providence, RI). 97-102.

Michalowski, M., Knoblock, C. A., Choueiry, B. Y., 2007. Exploiting Problem Data to Enrich Models of Constraint Problems. (6th International Workshop on Constraint Modeling and Reformulation (ModRef'07), 2007, Providence, RI). 1-15.

Bayer, K. M., Michalowski, M., Choueiry, B. Y., Knoblock, C. A., 2007. Reformulating Constraint Satisfaction Problems to Improve Scalability. (7th Symposium on Abstraction, Reformulation and Approximation (SARA-07), 2007, Whistler, Canada). 64-79.

Michalowski, M., 2006. A Generalized Query Framework for Geospatial Reasoning. (Twenty First National Conference on Artificial Intelligence (AAAI-06), Doctoral Consortium, 2006, Boston, MA). 1922-1923.

Michalowski, M., Thakkar, S., Knoblock, C. A., 2005. Automatically utilizing secondary sources to align information across sources. AI Magazine, 26 (1): 33-44.

Minton, S. N., Nanjo, C., Knoblock, C. A., Michalowski, M., Michelson, M., 2005. A Heterogeneous Field Matching Method for Record Linkage. (5th IEEE International Conference on Data Mining (ICDM-2005), 2005, Houston, TX). 314-321.

Michalowski, M., Ambite, J. L., Knoblock, C. A., Minton, S., Thakkar, S., Tuchinda, R., 2004. Retrieving and Semantically Integrating Heterogeneous Data from the Web. IEEE Intelligent Systems, 19 (3): 72-79.
doi: https://doi.org/10.1109/MIS.2004.16

Michalowski, M., Thakkar, S., Knoblock, C. A., 2004. Exploiting Secondary Sources for Unsupervised Record Linkage. (VLDB Workshop on Information Integration on the Web, 2004, Toronto, Canada). 34-39.

Carman, M., Michalowski, M., 2003. 3rd International Summer School on AI Planning - A Student's Perspective. The PLANET Newsletter, 10-12.

Michalowski, M., Thakkar, S., Knoblock, C. A., 2003. Exploiting Secondary Sources for Automatic Object Consolidation. (KDD Workshop on Data Cleaning, Record Linkage, and Object Consolidation, 2003, Washington DC). 34-36.

Schleisman, K. B., Guzey, S., Lie, R. F., Michlin, M., Desjardins, C., Shackleton, H. S., Schwerdfeger, A. C., Michalowski, M., Dubinsky, J., Learning Neuroscience with Technology: A Scaffolded, Active Learning Approach. Journal of Science Education and Technology,

Michalowski, M., Schleisman, K. B., Guzey, S., Lie, R. F., Michlin, M., Desjardins, C., Shackleton, H. S., Schwerdfeger, A. C., Dubinsky, J., Learning Neuroscience with Technology: A Scaffolded, Active Learning Approach.. Journal of Science Education and Technology,

Presentations

Selected Presentations

Michalowski, M. "Artificial Intelligence and Education: Transforming Curriculum and Delivery", The Study Club, Minneapolis, Minnesota, United States. November 01, 2019.

Michalowski, M. "Artificial Intelligence and Nursing: The What, the Why, and the How", Brocher Workshop on Artificial Intelligence for Nursing: Ethical, Legal and Social Implications, Geneva, Switzerland. October 01, 2019.

Michalowski, M., Wilk, S., Michalowski, W., Carrier, M. "Representing Drug Classes for Mitigating Concurrently Applied CPGs", University of Minnesota School of Nursing Research Day, Minneapolis, Minnesota, United States. April 01, 2019.

Michalowski, M. "Relationships Among Interventions and Health Literacy Outcomes for Sub-Populations: A Data-Driven Approach", International Omaha System Partnership Scientific Team Meeting, Minneapolis, Minnesota, November 01, 2018.

Michalowski, M. "Improved Patient Adherence (Compliance) to Therapy Through Mobile Technology", 2018 Nursing Knowledge: Big Data Science Conference, Track 2: Social Media and Mobile Health Analytics, Minneapolis, Minnesota, June 01, 2018.

Michalowski, M. "Overview of mHealth for the Nursing Big Data mHealth Working Group", February 16, 2018.

Michalowski, M. "Closing Remarks", Nursing Informatics Spring DEEP Day 2018, January 27, 2018.

Michalowski, M. "Opening and Closing Remarks", 2018 Workshop on Health Intelligence (W3PHIAI 2018), New Orleans, Louisiana, January 01, 2018.

Michalowski, M. "Closing Remarks", Nursing Informatics Spring DEEP Day 2018, January 27, 2017.

Michalowski, M., Goldberg, D. "STEAF - A Spatio-Temporal Extension & Analysis Framework for ArcGIS", Esri Education Conference, San Diego, California, July 01, 2015.

Michalowski, M., Goldberg, D. W. "Spatiotemporal Extension and Analysis Framework (STEAF)", Esri DevSummit DC, Washington, District of Columbia, February 01, 2015.

Michalowski, M., Goldberg, D. W., Evans, A. "True Spatio-temporal Analysis of Fire Trends in the Eastern United States using ArcGIS and the R Statistical Computing Language", Esri Developer Conference, Palm Springs, California, March 01, 2014.

Michalowski, M., (Presenter) "Using Constraint Logic Programming to Support the Concurrent Application of Multiple Practice Guidelines: Adjusting Medication Dosages and Resolving Open- Ended Actions Related to Treatment", 12th Conference of the IFIP Working Group 7.6 on Advanced Analytics, Aachen, Germany. August 01, 2012.

Michalowski, M., (Presenter), Hing, M. M., (Presenter), Michalowski, W., (Presenter), Wilk, S., (Presenter), Farion, K., (Presenter) "Representing Concurrent Clinical Practice Guidelines as a Constraint Logic Programming Model", 2011 INFORMS Conference on Healthcare, Montreal, Canada. June 01, 2011.

Michalowski, W., (Presenter), Wilk, S., (Presenter), Sayyad-Shirabad, J., (Presenter), Kuziemsky, C., (Presenter), O'Sullivan, D., (Presenter), Farion, K., (Presenter), Michalowski, M., (Presenter) "Modeling Clinical Practice Guidelines using Predicate Logic for Reasoning with Incomplete Patient’s Data", 20th International Conference on Multiple Criteria Decision Making, China. June 01, 2009.

Kuziemsky, C., (Presenter), Michalowski, W., (Presenter), Michalowski, M., (Presenter), Farion, K., (Presenter), O'Sullivan, D., (Presenter), Wilk, S., (Presenter) "A Constraint Satisfaction Based Approach to Clinical Practice Guidelines", 34th Annual ORAHS Conference, Toronto, Canada. August 01, 2008.

Grants and Patents

Award: Computerized assessment of linguistic indicators of luci
Principal Investigator: Pakhomov, Sergey V
Sponsoring Organization: NIH National Institute on Aging (NIA)
Award Dates: 2021 - 2022
 

Award: AI-DCL: Addressing sociotechnical challenges of conversa
Principal Investigator: Gini, Maria L
Sponsoring Organization: The National Science Foundation
Award Dates: 2019 - 2022
 

Award: Interactive Digital Psychoeducation for Adolescents and
Principal Investigator: Michalowski, Martin
Sponsoring Organization: Andiamo Games, LLC
Award Dates: 2019 - 2021
 

Award: BrainAware: Interactive digital psychoeducation for adol
Principal Investigator: Michalowski, Martin
Sponsoring Organization: Andiamo Games, LLC
Award Dates: 2018 - 2019

Patents

Interactive Educational Tool, Michalowski, M., Carpenter, T. P., & Nelson, K. S. (2018). United States Patent No. US10002540. United States Patent Office. Issued: 2018

Interactive Educational Tool, Michalowski, M., Carpenter, T. P., & Nelson, K. S. (2015). United States Patent No. US9111458. United States Patent Office. Issued: 2015