Data Intel | McMaster

DATA INTELLIGENCE

Advancing the state of the art through innovative and collaborative research

Anomalous Behavior Discovery

Advanced machine learning and intelligent decision support systems

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Clinical Decision Support System

Bridging the gap between software engineering and clinical medicine with machine learning.

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Clinical Knowledge Dissemination

Assisting physicians in underserved regions using Machine Learning

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Projects
Our research focuses on the following research areas

Medical Informatics

Cybersecurity

Clinical Decision System

Building a community through research & innovation

We're a multi-disciplinary research initiative on Information and System Intelligence research with the following aims:

AIM 1 Foster collaborative multi-disciplinary projects that utilize artificial intelligence (AI), big data analytics, intelligent decision support systems (IDSS) and advanced human computer interaction techniques (VR & AR) in different application domains
AIM 2 Initiate a “data-intelligence-as-a-service” (DIaaS) infrastructure to encourage participation. This infrastructure will provide cloud-based open API (application program interface) services as sample AI-driven solutions to be used in different projects.
AIM 3 Attract researchers and industries to collaborate in major projects and expose graduate and undergraduate students to real-world research problems and enhance their critical thinking and practical skills.

Selected Publications

JOURNALS

An Expressive Event-based Language for Representing User Behavior Patterns. H. Sharghi, K.Sartipi. Journal of Intelligent Information Systems (JIIS). Pages 1-25. Springer DOI: 10.1007/s10844-017-0456-5 (2017)

OpenID Connect as a Security Service in Cloud-based Medical Imaging Systems. W. Ma, K.Sartipi, H. Sharghi, D. Koff, P. Bak. Journal of Medical Imaging (JMI) 3(2), 026501 (2016), doi: 10.1117/1.JMI.3.2.026501. (SPIE Digital Library)

Security Middleware Infrastructure for Medical Imaging System Integration and Monitoring. W. Ma, K.Sartipi. ICACT Transaction on Advanced Communications Technology (TACT).Vol. 4, Issue 6, November 2015. Pages 736-744.

Synthesizing Scenario-based Dataset for User Behavior Pattern Mining. W. Ma, K. Sartipi. International Journal of Computer and Information Technology (IJCIT). ISSN: 2279-0764, Vol 04, Issue 06, November 2015. Pages 855-866.

CONFERENCES

Detecting the Insider’s Threat with Long Short Term Memory (LSTM) Neural Networks. E. Lopez, K. Sartipi.Archive: arXiv:2007.11956 .

Knowledge Discovery for Clinical Decision Support System in Patient Records, D. Budhathoki, K. Sartipi. IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS 2020). July 28-30, 2020. Mayo Clinic, Rochester, MN (on-line). (Submitted) (Abstract)

QRMine: A python package for triangulation in Grounded Theory. B. Eapen, N. Archer, K. Sartipi. Archive: xrXiv-2003.13519. 4 pages. Preprint, compiled March 31, 2020.