The Computer Science department at 糖心Vlog places a strong emphasis on student-faculty collaborative research, fostering a vibrant environment for undergraduate exploration and discovery. Faculty actively mentor students through hands-on research experiences that span a myriad of research topics. These collaborations frequently result in conference presentations and peer-reviewed publications, highlighting the department鈥檚 commitment to preparing students for graduate study and industry careers.
Undergraduate research is not an add-on but a core component of the academic experience, with many students beginning research early in their academic journeys.
Research Collaborations
In addition to on-campus initiatives, the department has established research collaborations with external partners such as Mayo Clinic Health System. These partnerships give students and faculty the opportunity to work on real-world problems with direct societal impact. Research projects in collaboration with Mayo Clinic have included ECG signal processing, disease prediction through machine learning, and personalized healthcare analytics. These experiences not only broaden the scope of undergraduate research but also expose students to interdisciplinary teamwork and clinical applications of computing technologies. The Blugold Center for High-Performance Computing (HPC) further supports this work, enabling the analysis of complex datasets.
Grants and Funding
To support and expand undergraduate research opportunities, the department is actively engaged in securing external grants and funding. Faculty members have successfully obtained competitive awards from agencies such as the National Science Foundation (NSF), which provide critical resources for student stipends, travel to conferences, and access to research tools. These grants not only empower students to participate in high-level research but also strengthen the department鈥檚 capacity to pursue innovative, impactful projects. Through these efforts, the department underscores its dedication to cultivating a strong research culture rooted in experiential learning and academic excellence.
Here's a list of recent and ongoing research within the Computer Science Department:
- Enhancing equity in education and addressing artificial intelligence bias
- Advancing video analysis and simulation with machine learning.
- Using e-textiles to teach programming and boost student engagement.
- Researching decentralized learning and artificial intelligence technologies in healthcare. domain.
- Researching artificial intelligence for specific problems with machine learning, deep learning, natural language processing and other AI-related computational science.
- Enhancing software engineering, systems development, and education in the computing sciences.
- Investigating cybersecurity threats like phishing and fraudulent activity.
- Exploring complex problems in healthcare, finance, and social media analytics based on algorithms in computational sciences.
- Advancing bioinformatics, scRNA-seq, and spatial transcriptomics research.
- Exploring large language models for education, writing assistance, and computational research.
