Thiru Ramaraj (PER-016)
Thiru Ramaraj is a faculty member at DePaul University in Jarvis CDM / School of Computing. Documented areas of work include medical imaging, deep learning, bioinformatics, machine learning, computer vision, and pulmonary nodules.
Summary ✓
- Primary affiliation: Jarvis CDM / School of Computing
- Role types: faculty
- Last reviewed: 2026-05-30
Access (availability): 🟢 Green — open or routine · 🟡 Yellow — appointment or affiliation · 🔴 Red — restricted · ⚪/⚫ White/Black — not yet classified
Verification: ✓ confirmed · ~ likely · ? needs review · ✕ archived
Profile & contact
- Faculty profile: facweb.cdm.depaul.edu/research/vc
Description
Thiru Ramaraj is a faculty member at DePaul University in Jarvis CDM / School of Computing. Documented areas of work include medical imaging, deep learning, bioinformatics, machine learning, computer vision, and pulmonary nodules.
Linked resources
- VIDA / MedIX / IMP Labs (Affiliated faculty)
- Computational Biology & Applied Bioinformatics (Faculty lead)
Linked grants
- National Center for Genome Resources / NSF award (PI)
- Comprehensive Immunological Responses to Epstein–Barr Virus in Heart Transplant Recipients Who Do and Do Not Develop Post-Transplant Lymphoproliferative Disease (Co-PI)
- Machine Learning Discovery of Novel Brainstem Nuclei Controlling Orofacial Behaviors (Co-PI)
- Validation of Inhalation Therapy to Enhance Anti-Malarial Immune Response Using Machine Learning (PI)
- Collaborative Research: TRTech-PGR: Functional Pangenomic and Machine Learning Tools for Exploring Genetic Diversity in Plants (PI)
- Sequence Resources for Cotton, a Model System for Allopolyploid Crops (PI)
- Collaborative Research: Innovation: Pioneering New Approaches to Explore Pangenomic Space at Scale (PI)
- Collaborative Research: ABI Innovation: Biofilm Resource and Information Database (BRaID): A Tool to Fuse Diverse Biofilm Data Types (PI)
- The project, Sequence Resources for Cotton, a Model System for Allopolyploid Crops, is focused on genome assembly and annotation of cotton lines. DePaul, together with collaborating institutions, is d (PI)
- This project, Collaborative Research: ABI Innovation: Biofilm Resource and Information Database (BRaID): A Tool to Fuse Diverse Biofilm Data Types; seeks to construct a biofilm resource and informatio (PI)
- Structural Variation of Diploid and Polyploid Plant Genomes (Co-PI)
- Applying AI techniques on transcriptomic and clinical data of giant cell arteritis (GCA) and related conditions (PI)
- Computational Biology and Applied Bioinformatics (CoBaAB) Lab (PI)
- ABI EAGER: New Tools for Pan-Genomics Across Phylogenetic Space (Co-PI)
Linked courses
None documented.
Linked publications
- Optimizing Computer-Aided Diagnosis with Cost-Aware Deep Learning Models (Coauthor) — DOI
- Enhancing Pulmonary Nodule Localization Based on Latent Representations (Coauthor) — DOI
- Application of Machine Learning Techniques to Drive Immunological Insights Towards Malaria Prognosis Using Microarray data (Coauthor) — DOI
- Video Label Refinement for Temporal Localization (Coauthor) — DOI
- Scalable Alignment-Free Phylogenomics Using Normalized Compression Distance (NCD): A Case Study in Tomato (Solanum Lycopersicum) Whole Genomes (Coauthor) — DOI
Linked outputs
None documented.
Verification
- Status: ✓ Listed in the map and on a DePaul page
- Last reviewed: 2026-05-30
- ORCID verification: unresolved (source: n/a)
Source URLs
Notes
Person listing on the Resource Map. Open linked places, grants, courses, and publications from this page.