Rahul Gomesمشاهده پروفایل
دانشیار
Rahul Gomes, Ph.D., is an Associate Professor of Computer Science and Ramsey Research Professor (2025-2028) at the University of Wisconsin–Eau Claire within the College of Arts and Sciences. His work bridges artificial intelligence, machine learning, and computational science with applications in healthcare, geospatial analytics, and cybersecurity. He maintains active research collaborations with clinical, scientific, and community partners while mentoring undergraduate and graduate students in cutting-edge projects. His educational background includes: Ph.D. in Computer Science from North Dakota State University, Fargo M.S. in Computer Science from Sikkim Manipal University, India B.Ed. and B.S. from St. Xavier's College Kolkata, India Gomes leads research in multiple high-impact domains with a focus on developing interpretable AI systems that address real-world challenges. His biomedical informatics work spans medical imaging analysis (particularly for IVCF detection and pancreatic cancer diagnosis), single-cell RNA sequencing, and retrieval-augmented generation for clinical workflows. In geospatial analytics, he develops deep learning approaches for remote sensing and land cover classification. His cybersecurity research investigates AI-based threats and defense mechanisms, including analysis of large language model vulnerabilities. The interdisciplinary nature of his work is reflected in publications spanning computer science, medical journals, and domain-specific applications. His publication record demonstrates consistent productivity across multiple domains, with recent work showing particular strength in medical AI applications, geospatial deep learning, and cybersecurity analysis. The research shows a clear trajectory toward increasingly complex multimodal approaches, with recent papers integrating vision transformers, domain adaptation techniques, and specialized architectures for specific medical and geospatial challenges. Many publications involve undergraduate student co-authors, reflecting his commitment to research-based education. His scientific recognition includes: Ramsey Research Professorship (2025-2028) NSF REU grant as PI ($459,810) for advancing HPC undergraduate research (2025-2028) RET Site grant as Co-PI to bridge gaps in high school computing education (2024-2027) Gomes actively mentors students through research projects that often lead to publications and conference presentations. His research group develops advanced methods for medical image analysis, spatial transcriptomics, and AI-driven healthcare decision support. He has successfully secured significant grant funding that supports undergraduate research experiences, demonstrating his commitment to involving students in meaningful research. His TARCC RET Site project specifically aims to enhance computing education at the high school level through teacher training. His research lab focuses on several key projects including IVCF Filter Detection using AI (employing Swin-UNet for CT scan analysis), PDAC Diagnosis using Deep Learning, scRNA-seq Analysis for pancreatic cancer, CABG Outcomes analysis, and RAG applications in healthcare. These projects involve interdisciplinary teams of students working with technologies including PyTorch, MONAI, LangChain, and various high-performance computing resources.
