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

  • January 21, 2026 Congratulations to Khizer Khan on being selected to participate in the Big East Student Research Poster Symposium that will be held on March 14, 2026 in New York City.

  • 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" .