Key Research Area: Big Data
Why UNLV?
For over a decade, UNLV researchers have been leading groundbreaking efforts in big data, establishing the university as a regional leader in the burgeoning field. From national security to healthcare, UNLV is at the forefront of advancing big data research that drives innovation and solves critical challenges.
UNLV is located centrally in the West and houses the high-performance computing center, also known as The National Supercomputing Institute. Las Vegas is an ideal location for conducting research in areas such as nuclear, water, desert, and healthcare-related projects with very large data. At UNLV, impactful AI and big data research are driving new value and fostering synergies across interdisciplinary fields. The RebelX GPU cluster at UNLV supports AI research both on campus and within the Las Vegas community.
Big Data Research Expertise at UNLV
- Interpretable deep learning for scientific research
- Trustworthy AI
- Unstructured data analysis
- Data mining
- Medical image analysis
- Social network mining using NLP and ML
- Machine learning for object detection, semantic segmentation and temporal action localization
- Deep learning
- Image processing and computer vision
Research Highlights
AI for Low Dose and Dose-Rate Breast Cancer Radiation Risk Prediction
In the DataX Lab on campus, UNLV researchers are developing advanced biologically interpretable deep learning models that analyze single cell data to stratify patients with radiation risk of breast cancer.
For more information, contact Mingon Kang at mingon.kang@unlv.edu.
Evidential Deep Learning For Trustworthy Prediction
A UNLV research team is proposing a new paradigm of evidential deep learning that provides trustworthy AI predictions, not only for improving predictive performance but also providing domain-specific evidence, so that users can confirm the AI decision.
For more information, contact Mingon Kang at mingon.kang@unlv.edu.
“My research at UNLV has focused on leveraging big data and NLP to build scalable AI solutions for healthcare. From clinical trial analysis to language model optimization, I’ve gained hands-on experience in data-driven innovation. Collaborating with faculty and fellow researchers has been instrumental in shaping my technical skills and opening doors to impactful opportunities.”Pouyan Nahed, Computer Science Ph.D. Candidate, Class of 2025
UNLV Faculty Engaged in Big Data Research
To request this information in a PDF format, contact Mohamed Trabia at mohamed.trabia@unlv.edu.