Accomplishments: Department of Computer Science
Avinash Yaganapu, Sai Phani Parsa, and Mingon Kang (all Computer Science) published a paper, "Prediction of bacterial Cytochrome P450-compound interactions based on positive-unlabeled deep learning," in Bioinformatics.
Many biological interaction datasets (e.g., protein-compound interactions) suffer from a fundamental problem: we often only…
Dillon Davidson, Zuobin Xiong, and Junggab Son (all Computer Science) had their paper accepted, titled “GPU Accelerated Fully Homomorphic Encryption Framework for End-to-End Logistic Regression,” at the 22nd EAI International Conference on Security and Privacy in Communication Networks (acceptance rate: 29.1%).
Mina Attin (Nursing), Bryer Shareef (Computer Science), Xan Goodman (University Libraries), and Kavita Batra (Medicine), along with their student researchers, have published “Predicting In-Hospital Cardiac Arrest Using Machine Learning Models: A Scoping Review” in Artificial Intelligence in Emergency Medicine. The study highlights the growing…
Hal Berghel (Computer Science) has published an article in the March 2026 issue of IEEE Computer entitled "From Trolls to Edgelords: The Use of Social Media to Support Extreme Ideology" that focuses on sinister, anti-social use of social media platforms to support extremism. Summary data provided by federal law enforcement agencies, the…
A paper authored by Daniel Ogenrwot and John Businge (Computer Science) titled: "How AI Coding Agents Modify Code: A Large-Scale Study of GitHub Pull Requests" has been accepted in the 23rd ACM/IEEE International Conference on Mining Software Repositories (MSR). MSR is the top-ranked venue for software evolution and repository…
Louis Dumontet and Mingon Kang (both Computer Science) have published a research article titled, “Trustworthy prediction of enzyme commission numbers using a hierarchical interpretable transformer" in Nature Communications. This study introduces a cutting-edge AI model that predicts enzyme functions from protein sequences and offers…
Beomsu Baek and Mingon Kang (both Computer Science) published a paper, "Stochastic LASSO: enhanced high-dimensional LASSO for high-throughput genomic data," in Scientific Reports. Stochastic LASSO, a powerful linear-based feature selection method designed for extremely high-dimensional, low-sample-size (EHDLSS) genomic data.
Key highlights…
Louis Dumontet and Mingon Kang (both Computer Science) have published a research article titled, “Interpretable Kolmogorov-Arnold networks for enzyme commission number prediction," in npj Artificial Intelligence. This study introduces biologically interpretable Kolmogorov-Arnold network strategy, which is known as a next neural network…
Hal Berghel (Computer Science) has published an article titled, "Generative AI is Breathing New Life Into the Dead Internet Theory," in the January 2026 issue of IEEE Computer that shows that the Pravda network is the most prominent example of a disinformation superspreader that enhances its efficacy from Generative AI by both LLM grooming and the…
CyberCorps® SFS scholars Hareign Casaclang (Computer Science) and Bianca Ionescu (Computer Science and Information Systems) were selected to present their research on “Self-Hosted Workflow Automation For AI-Based Cybersecurity Operations” at the 2025 Colloquium for Information Systems Security Education (CISSE™) conference that took place at…
Juyeon Jo and Yoohwan Kim (both Computer Science) have secured the redesignation of Center of Academic Excellence in Cyber Defense (CAE-CD) for the department’s B.S. in Computer Science, Information Assurance Concentration degree program. Originally secured in 2019, this redesignation is valid through academic year 2030.
The National Centers of…
The Brain Injury Translational Research (BITR) lab proudly presented posters at the UMC 8th Annual Poster Symposium help Nov. 5-6, 2025.
Hana Sourjah, Dihini Perera, Ph.D. student Joe Cadiz, and Hyunhwa "Henna" Lee (all Nursing) received the 2nd Place Award in the Healthcare Student category for their…