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ARTIFICIAL INTELLIGENCE AI PEER REVIEW The quantification of visual affect data (i.e., face images) is essential to

ARTIFICIAL INTELLIGENCE | MACHINE LEARNING MULTIMODAL ASSESSMENT OF NEONATAL PAIN USING COMPUTER VISION

build and monitor automated affect modeling systems efficiently.

John Licato, PhD

A robust and comprehensive automatic system that generates a standardized pain assessment comparable to

ARTIFICIAL INTELLIGENCE

those obtained by conventional nurse-derived pain scores.

Dmitry Goldgof, PhD

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TEMPORAL EXPRESSIVENESS DYNAMICS The quantification of visual affect data (i.e., face images) is essential to build and monitor automated affect modeling systems efficiently.

ARTIFICIAL INTELLIGENCE | MACHINE LEARNING

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USING AI AND ML TO ENHANCE REMOTE LEARNING

Shaun Canavan, PhD

ARTIFICIAL INTELLIGENCE USING AI AND DRONE MAPPING TO COMBAT MALARIA

Using online remote instruction to extend education beyond school campuses has been growing steadily since the turn of Autar Kaw, PhD

increasingly deployed as a response to the

To combat the spread of malaria in developing regions

COVID-19 global pandemic that has made

such as sub-Saharan Africa, Sriram Chellappan, professor

classrooms risky places to be.

of computer science and engineering, is developing Sriram Chellappan, PhD

drone mapping technology to locate habitats of malaria

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spreading mosquitoes.

https://bit.ly/3n1qiU5

the 21st Century and recently has been

Alci Yalcin, PhD

MACHINE LEARNING EVENT UNDERSTANDING Video data captures a tremendous amount of data that encompasses both visual and semantic knowledge that representations require reasoning

MACHINE LEARNING REAL-TIME ANOMALY DETECTION

about the semantic relationships among these Sudeep Sarkar, PhD

concepts, often beyond what is directly observed in

Detect changes in data patterns with respect to a

the data.

baseline.

Yasin Yilmaz, PhD

MACHINE LEARNING THIRTY YEARS OF MACHINE LEARNING: THE ROAD TO ARTIFICIAL INTELLIGENCE PARETO-OPTIMAL WIRELESS NETWORKS Project Description Kwang-Cheng Chen, PhD

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MACHINE LEARNING

Kwang-Cheng Chen, PhD

MACHINE LEARNING PARADIGMS FOR NEXT-GENERATION WIRELESS NETWORKS Project Description

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