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

  • 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" .

  • September 24, 2024 Congratulations to Amal Almansour, PhD candidate, who defended her PhD dissertation titled "Exploring how uncertain labels from non-consensus panels affect machine learning" .

  • October 28, 2024 Congratulations to Nandhini Gulasingam and Charmi Patel on acceptance of their paper by Society of Photo-Optical Instrumentation Engineers (SPIE) .

  • August 26, 2024 Congratulations to Drs. Tchoua, Furst and Raicu for being awarded $1.5 million by the NSF to support DePaul and Sinai Chicago researchers in reducing hospital re-admissions.

  • June 5, 2024 Congratulations to Dr. Jacob Furst for being named to the Illinois Science & Technology Coalition's prestigious "Researchers to know" list for 2024

  • Feb. 2, 2024 Congratulations to Dr. Thiru Ramaraj on receiving DePaul and Rosalind Franklin award 2024 funding his research "Using Machine Learning to Enhance Anti-Malarial Immune Response"

  • Jan. 26, 2024 Charmi Patel presented research project at DePaul Innovation Day titled "From Pixels to Diagnosis: Artificial Intelligence’s Impact in Medical Imaging"

  • October 2, 2023 Congratulations to Adrianna Pinzariu, a junior undergraduate researcher working with Dr. Tchoua, who earned a $50k scholarship for Innovation in Artificial Intelligence, Safety.

  • May 30, 2023 Congratulations to Yiyang Wang, PhD candidate, who defended his PhD dissertation titled “Towards Generalizable Machine Learning Models for Computer-Aided Diagnosis in Medicine”