Faculty at UIS include undergraduate students as collaborators in their research, scholarly, and creative activities. These activities embody the value of an #ExperienceEngaged education as described in the UIS Strategic Compass. The outputs of these scholarly activities include professional presentations at local, regional, national, and international conferences. Undergraduate students are also co-authors on professional publications, as described in the Star Scholars blog. Below are listed some recent publications featuring UIS students and faculty.
If you would like to be included on this list, please fill out the Undergraduate Research Highlights form.
Bartke A and Quainoo N (2018) Impact of Growth Hormone-Related Mutations on Mammalian Aging. Front. Genet. 9:586. doi: 10.3389/fgene.2018.00586
McCollum, B., Morsch, L., Pinder, C., Ripley, I., Skagen, D., & Wentzel, M. (2019). Multi-dimensional trust between partners for international online collaborative learning in the Third Space. International Journal for Students As Partners, 3(1), 50-59. https://doi.org/10.15173/ijsap.v3i1.3730
Loui R, Dozier D, Barber E, Harish J. Auralization of process and port status using program binaries to generate semantically meaningful non-fatiguing noise as canonical sound signals. 2015 IEEE International Conference on Electro/Information Technology (EIT) 2015: 466-471. DOI: 10.1109/EIT.2015.7293430
Lucas Vespa and Alex Bauman, Comprehensive Branch Elimination for GPU Accelerated Biomedical Applications, The ASE BioMedCom Conference, (BioMedCom ’14), 2014.
Matthew Dean and Lucas Vespa, Simplified Network Traffic Visualization for Real-Time Security Analysis, The International Conference on Security and Management (SAM ’13), 2013.
Lucas Vespa, Alexander Bauman, Jenny Wells, Algorithm Flattening: Complete branch elimination for GPU requires a paradigm shift from CPU thinking, The IEEE International Conference on High-Performance Extreme Computing (HPEC ‘15), 2015. (Sept)
Lucas Vespa, Alexander Bauman, Jenny Wells, Algorithm Flattening: Complete branch elimination for GPU requires a paradigm shift from CPU thinking, The IEEE International Conference on High-Performance Extreme Computing (HPEC ‘15), 2015.