Developing thermally stable energy materials using physics-based ML models; Alok Ghanekar (Mechanical Engineering) and Rajasekhar Anguluri (Computer Science and Electrical Engineering)
Investigating the Social and Affective Aspects of Large-Language Model-based Augmentative and Alternative Communication Systems; Foad Hamidi (Information Systems) and Lara Martin (Computer Science and Electrical Engineering)
Automating Cybersecurity Compliance in Manufacturing using Data-Driven Digital Twins; Karuna Joshi (Information Systems) and Nilanjan Banerjee (Computer Science and Electrical Engineering)
Cellular Force Generation on Extracellular Matrix Mimetic Surfaces; Molly Mollica (Mechanical Engineering) and Jorge Almodovar (Chemical, Biochemical, and Environmental Engineering)
The UMBC Ethical Software Lab; Mohammad Samarah (Information Systems); Melissa Sahl (Information Systems), Abhijit Dutt Computer Science and Electrical Engineering), Charissa Cheah (Psychology)
Microfluidic Chip Design using Large Language Models; Neha Raikar (Chemical, Biochemical, and Environmental Engineering) and Nilanjan Banerjee (Computer Science and Electrical Engineering)
The role of Interlimb Coordination and Human-robot Symbiosis in Dance Interventions for Mental Health and Wellbeing; Ramana Vinjamuri (Computer Science and Electrical Engineering), Andrea Kleinsmith (Information Systems), and Ann Clemmensen (Dance)
Examining the Impact of Role Models in Building Self-Efficacy and Career-Adaptability of Underrepresented Students in STEM Disciplines; Sanorita Dey (Computer Science and Information Technology and Maria Sanchez (Mechanical Engineering)
Substrate and Defect Engineering for More Efficient Photovoltaic Systems; Ergun Simsek (Computer Science and Electrical Engineering) and Özgür Çapraz (Chemical, Biochemical, and Environmental Engineering)
Neurosymbolic AI for Scientific Discovery; Tyler R. Josephson (Chemical, Biochemical, and Environmental Engineering) and Jianwu Wang (Information Systems)
Physics-Constrained Machine Learning-Enabled Efficient Grain Growth Modeling for 3D Printed Metals; Ye Lu (Mechanical Engineering) and Houbing Herbert Song (Information Systems)