Other than CS department’s funding, our faculty frequently receive outside funding for research and education that provide excellent research opportunities for students.
Our faculty receive funding from multiple agencies, such as South Dakota Competitive Research Grant Program (SDCRGP), Department of Education (DOE) and National Science Foundation (NSF). Besides, our students frequently receive research and creative scholarships from both categories: undergraduate and graduate.
The Computer Science Department is primarily focused on algorithms, artificial intelligence, machine vision, machine learning, pattern recognition, data science, information retrieval, internet of things, cyber security and big data. Applications are ranging from healthcare to risk management.
Our department is composed of award-winning faculty and students. A few of these prestigious awards/honors include the President’s Research Excellence Award (2019) and Undergraduate Research Excellence Awards (2018 – 2019).
If you are interested to work with our faculty, we would consider if you have experience on topics such as algorithms, programming science, AI and machine learning.
Brown Bag Research Talk Series
The Computer Science Department hosts a brown-bag research talk series in a relaxed and an informal setting. The talks are aimed to solely focus on AI-related research domains. Our speakers are potentially industry professionals and academic research professors/scientists.
We are not limited to computer science professors/scientist for a talk, instead, we are open to “open-eye” talks from other domains that can relate to the computer science market. Such talks are free and open to public.
If you are interested, please contact the Chair of the Computer Science Department at email@example.com.
Besides, computer science students organize meetings (with clubs such as ACM-USD and Code Club), where industry professionals are their main focus.
Emotional Intelligence and Mental Health
April 13, 10 a.m. – 11 a.m. (Central Time)
Please email Laurie Fritsch for Zoom information
Speaker: Alice Othmani
Associate Professor, Université Paris-Est Créteil
Alice Othmani is an associate professor at Université Paris-Est Créteil since 2017. Her research works concern developing computer vision and Artificial Intelligence solutions for Healthcare. She has skills and several experiences in computer vision, machine learning and signal and image processing projects. She has been working in several international research institutions like Ecole Normale Supérieure de Paris, Collège de France, Agency for Science, Technology and Research (A*STAR) in Singapore and Faculté de médecine de Clermont-Ferrand.