DATA INTELLIGENCE
Advancing the state of the art through innovative and collaborative research
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.
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 .
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.
Can Language Help in the Characterization of User Behavior? Feature Engineering Experiments with Word2Vec. E. Lopez, K. Sartipi. The 32nd International Conference on Software Engineering & Knowledge Engineering (SEKE 2020). July 9-11, 2020, Pittsburgh, USA. pages 371-374.
FHIRForm: An Open-Source Framework for the Management of Electronic Forms in Healthcare. B.Eapen , A. Costa, N. Archer, K. Sartipi. IOS Press. doi:10.3233/978-1-61499-951-5-80, pages 80-85, 2019.
Areas of Research
AUGMENTED & VIRTUAL REALITY
DATA MINING & MODELLING
HEALTH INNOVATION
CYBERSECURITY
Our collaborating team come from research driven faculties
Interested in collaboration?
We’re a highly curious and collaborative research team looking to partner with like-minded researchers, industry professionals and industry partners.
A multi-disciplinary research initiative on Information and System Intelligence research.