Faculty Research - in progress
Eric Chan-Tin
Dr. Eric Chan-Tin is the Founding Director of the Loyola Center for Cybersecurity, which is an interdisciplinary Center within the College of Arts and Sciences. He is also a member of other labs such as the Software and Systems Laboratory (SSL). His research areas are broadly in cybersecurity and privacy. More recently, he has published in the areas of web privacy, phishing, misinformation, and network security. The way he approaches cybersecurity research is to investigate a popular system, break it to find vulnerabilities, and then find ways to fix.
Ronald Greenberg
Dr. Greenberg's primary current focus is on computer science education and broadening participation in computing. He is a member of the leadership team of the Chicago Alliance For Equity in Computer Science, a researcher practitioner partnership focused on advancing computing education in The Chicago Public Schools. He also has been active in developing outreach activities such as magic tricks based on computer science concepts and exercises for educational robotics.
Nicholas Hayward
Dr Hayward's current research is focused on Digital Humanities, Open Source development, software engineering, in particular textual processing and analysis, and the design and structure of data. Other areas of interest include client-side, game design, HCI, Mathematics, ML and AI, mobile development, and programming languages.
Konstantin Läufer
Dr. Läufer's interests include programming languages, formal methods, software engineering, and cyber-physical systems. He is also deeply invested in computer science education, with a particular focus on making formal methods accessible to a wider audience. His current research explores how generative AI can enhance the software development lifecycle, especially in synthesizing specifications, models, and tests.
Daniel Moriera
Dr. Moreira leads the Loyola Applied Machine Intelligence (LAMI) lab and proudly participates in other groups, such as the Software and Systems Laboratory (SSL) and the Data Lab. His expertise is machine learning applied to media forensics and biometrics. He has contributed significantly to the topics of media provenance analysis and scientific integrity, owing to his interest in fighting misinformation and research misconduct. He is an associate editor of the IEEE Transactions on Information Forensics and Security (T-IFS) and Elsevier Pattern Recognition journals, and is a former member of the IEEE Information Forensics and Security Technical Committee (IFS-TC), 2021-2023 term, and IEEE Signal Processing Society Education Center Editorial Board, 2022-2023 term.
Satyaki Sikdar
Dr. Sikdar’s research interests include bibliometrics and the science-of-science, social network analysis, and graph mining rooted in formal language theory and reinforcement learning. His work has been published in leading scientific venues such as Nature Human Behaviour, IEEE TKDE, Scientific Reports, and IEEE ICDM. He also serves on the program committees of various data mining conferences including CIKM, SDM, The Web Conference, and WSDM.
Yasin N. Silva
Dr. Silva leads the Data Lab and BullyBlocker Project at LUC. His research focuses on innovative ways to analyze and process data. His specific areas of interest include social media analysis, online misbehavior detection, social computing, predictive modeling for cyberbullying detection, big data, similarity-aware data analysis, scalable database systems, and fairness and transparency in AI.
TaiNing Wang
Dr. TaiNing Wang's research interests include data management, database, data analysis, query processing, graph data, and data privacy. Her contributions to the field have been recognized through publications in leading conferences and journals, including ACM SIGMOD, IEEE ICDE, and Future Generation Computer Systems. She has a broad interest in data and query, and is open to exploring various areas related to data management and analysis. Students interested in joining her lab are encouraged to reach out, and she will be happy to discuss mutual interests and potential research directions.