Faculty Achievements

2021 | 2020 | 2018-19 | 2017 | 2016 |

Michael DeGiorgio

Dr. Michael DeGiorgio

Assistant Professor, Department of Computer & Electrical Engineering and Computer Science

Researcher Introduces Innovations in Evolutionary Genomics

Understanding the evolutionary processes that shape the distribution of genetic variation among individuals, populations, and species is central to the study of evolutionary and population genomics.

Dr. Michael DeGiorgio, associate professor in the Department of Computer & Electrical Engineering and Computer Science at the FAU College of Engineering and Computer Science, is conducting groundbreaking research in this field, as he works to develop methods and software tools for understanding biological data.

“We work in human evolutionary genomics by employing information from ancient and modern DNA samples to elucidate the evolutionary history of populations in the Americas,” Dr. DeGiorgio explained. “We develop statistical and machine learning methods for identifying genomic regions undergoing natural selection; additionally, we design and theoretically assess algorithms for inferring phylogenies when genomic signals conflict.” Dr. DeGiorgio leads a data science research group at FAU that has attracted over $2.4 million in private and federal funding and close to $1.8 million in additional collaborative awards.

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Dr. Jinwoo Jang

Dr. Jinwoo Jang

Assistant Professor, Department of Civil, Environmental and Geomatics Engineering and faculty fellow at the Institute for Sensing and Embedded Network Systems Engineering (I-SENSE)

Researcher Develops New Algorithms for Smart Onboard Data Processing in Sensor Technologies

By 2030, nearly 146 million connected vehicles will operate in the U.S., each generating 25 gigabytes of data per hour. However, traditional data analytics systems are not capable of handling this high amount of data. A researcher at the FAU College of Engineering and Computer Science is using novel data science tools to create new data mining algorithms embedded at the vehicle level that can collect and process streams of data in a highly efficient and scalable way.

Dr. Jinwoo Jang, assistant professor in the Department of Civil, Environmental and Geomatics Engineering and faculty fellow at the Institute for Sensing and Embedded Network Systems Engineering (I-SENSE) is using sensor network applications and robust data analytics for more efficient data sampling.

“Over the past decades, developments in sensing technology and wireless communication have provided cities and communities with increasingly-important sensor data to create more reliable and livable urban environments,” he said. “The ultimate goal of my research is to harness sensor data, integrated with novel artificial intelligence, to better inform, design, manage, and understand our city-scale civil infrastructure systems.” Dr. Jang has received external funding for several projects that allow him to apply his unique multidisciplinary expertise in both structural and transformation engineering, as well as in the fields of data science and artificial intelligence.

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