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Engineering | SENSIP

ASU SenSIP Research Experiences for Teachers
Summer Sessions and Participants

Summer 2022

Introductory Presentation by PI: Spanias

2022 Summer Projects: 

a) DEEP LEARNING-BASED MONOCULAR DEPTH ESTIMATION – Elevator Pitch

b) Microbiology and Machine Learning: Fungal Enumeration and Classification using ML algorithm – Presentation | Elevator Pitch

c) Prediction of Wideband Channel in Semi-Static Environment Using Linear Regression in Machine Learning – Elevator Pitch

d) CT Lung Segmentation of Patients with COVID-19 – Elevator Pitch

e) ML for Newborn Medical Sensors – Elevator Pitch

f) Neonatal Baby Boot – Elevator Pitch

g) An Introduction to Machine Learning via Reflective Thinking through the Iris Data Set – Lesson Plan

h) Exposing High School Students to Sensors and Machine Learning – Lesson Plan

i) HOW SUCCESSFUL IS OUR GROUPING OF COLORS? – Lesson Plan

j) SENSOR SUITE LESSON: DETECTING THE CARBON AND OXYGEN CYCLES – Lesson Plan

k) Machine Learning in Data Analysis – Lesson Plan

l) Machine Learning Applications in the High School Biology Classroom – Lesson Plan