Hybrid AI Lab (HAL)


Curriculum vitae


[email protected]


PI: Danushka Bandara, PhD
Bannow Science Center 105
Dept. of Computer Science
Fairfield University
1073 North Benson Road
Fairfield, CT 06824


Hybrid AI Lab (HAL)


Contact

Hybrid AI Lab (HAL)


Curriculum vitae


[email protected]


PI: Danushka Bandara, PhD
Bannow Science Center 105
Dept. of Computer Science
Fairfield University
1073 North Benson Road
Fairfield, CT 06824



Home


Welcome to the Hybrid Artificial-Intelligence Lab (HAL). We conduct research into human computer interaction under the guidance of Dr. Danushka Bandara. Our focus areas include: measurement of user state in cybernetic systems, collaboration dynamics of human computer teams and information visualization using emerging modalities.

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


CPSC4331: Operating Systems

Mastery of systems programming and design of operating systems.


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.


SWEG5360: Machine Learning

Covers machine learning theory and practical applications.

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