The Visual Informatics and Data Analytics [VIDA] Group at DePaul


The Visual Informatics and Data Analytics [VIDA] Group at DePaul University focuses on designing, developing, and implementing artificial intelligence, machine learning, data science, and computer vision algorithms for big data analytics, visualization, and human-computer scientific interactions.


Two laboratories, the Medical Informatics (MedIX) lab and the Intelligent Multimedia Processing (IMP) lab, house state-of-the-art research that combines theory and experimental methodologies to provide novel solutions to challenging real-world problems. The research conducted in the labs is applied to various domains including biomedical and healthcare informatics, neuroscience, psychology, materials science, security, and urban studies.



NEWS & EVENTS

  • October 29, 2025 DePaul is partnering to leverage AI and community health workers to predict and prevent hospital readmissions, offering a glimpse into the future of personalized and proactive healthcare.

  • July 1, 2025 Congratulations to Drs. Raicu, Furst, and Tchoua on receiving a $406,204 NIH award for their project VS-EDGE: Visual-Semantic Explanations for Diagnostic GuidancE.

  • June 9, 2025 Congratulations to Drs. Tchoua and Ramaraj on their appointment to tenure-track faculty positions.

  • May 29, 2025 Congratulations to Charmi Patel on the acceptance of their paper in the Journal of Imaging Informatics in Medicine.

  • April 11, 2025 Hiring Postdoctoral Researcher to join the collaboritive, supportive VIDA Group for the NSF-funded SCHOLAR Project, focused on human-centered AI in healthcare — an exciting role at the intersection of AI, health, and community impact in collaboration with DePaul University and Sinai Health.

  • January 14, 2025 Congratulations to Dr. Thiru Ramaraj on receiving the National Center for Genome Resources/National Science Foundation award to support his research titled, "Collaborative Research: TRTech-PGR: Functional Pangenomic and Machine Learning Tools for Exploring Genetic Diversity in Plants".

  • November 13, 2024 Congratulations to Jennifer Piane, PhD candidate, who defended her PhD dissertation titled "Video label refinement and temporal localization using motion signal patterns" .