Hybrid AI Lab (HAL)
Hybrid AI Lab (HAL)
PI: Danushka Bandara, PhD
Bannow Science Center 105
Dept. of Computer Science
Fairfield University
1073 North Benson Road
Fairfield, CT 06824
Publications
Multi-class Task Classification Using Functional Near-Infrared Spectroscopy
Danushka Bandara
International Conference on Human-Computer Interaction, Springer, Cham, 2022, pp. 133--141
User State Detection Using Facial Images with Mask Cover
Danushka Bandara
International Conference on Human-Computer Interaction, Springer, Cham, 2021, pp. 67--74
Identification of Potential Task Shedding Events Using Brain Activity Data
Danushka Bandara, Trevor Grant, Leanne Hirshfield, Senem Velipasalar
Augmented Human Research, vol. 5, 2020, pp. 1-15
Classification of affect using deep learning on brain blood flow data
Danushka Bandara, Leanne Hirshfield, Senem Velipasalar
Journal of Near Infrared Spectroscopy, 2019
Building predictive models of emotion with functional near-infrared spectroscopy
Danushka Bandara, Senem Velipasalar, Sarah Bratt, Leanne Hirshfield
International Journal of Human-Computer Studies, vol. 110, 2018, pp. 75-85
View all
Projects
Measuring trust in human AI interaction
The goal of this project is to develop an empirical model of human AI trust. Physiological correlated of trust as well as whole system performance optimization will also be explored.
Machine learning on animal acoustic data
We are developing methodologies to detect animal sounds from recordings made in zoo settings. The acoustic characteristics will then be used to study the evolution of animal acoustics.
Courses
CPSC1101: Introduction to computing
Introduces students from various backgrounds to the wonders and the magic of computer science
CPSC 3354: Theory of Programming Languages
Topics in this course include the design of programming languages; organization, control structures, data structures; run time behavior of programs; and formal specification and analysis of programming languages.
CPSC4525: Human Computer Interaction
Introduces design thinking and prototype development methodologies as well as emerging topics in human computer interaction.
Covers machine learning theory and practical applications.