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Silvestri, Liao and Cheung receive grant to develop new cybersecurity curriculum


‘We were really surprised’: Low-cost precision technology can detect bovine respiratory disease days before symptoms appear

By Teodora Lyubomirova

A new study has discovered that tools such as pedometers, wearable sensors and automatic feeders can help farmers detect subtle behavioral changes in dairy calves, predicting the onset of BRD and allowing for faster treatment.

Read the full story on dairyreporter.com.


Precision technology, machine learning lead to early diagnosis of calf pneumonia

"Wearable sensors, automatic feeders yield clues about onset of bovine respiratory disease."

Read the full article at www.psu.edu.
Read the full article at sciencedaily.com.


Simone Silvestri Co-PI on $1.5 Million NSF Award to Form Smart and Connected Farms - December 2020

The project contributes to Silvestri's work in applying novel communication technologies to cyber-physical systems towards solving interdisciplinary research problems.

Read the full story on engr.uky.edu.


Simone Silvestri Wins NSF CAREER Award - March 2020

The award is given in support of early-career faculty who have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization.

Read full story on engr.uky.edu.


Simone Silvestri to Serve as PI on NSF Project for Human Behavior and Energy Management Systems - September 2019

Simone Silvestri, assistant professor in the Department of Computer Science at the University of Kentucky, has been awarded a three-year grant for approximately $500,000 by the National Science Foundation (NSF) for the project “Crosslayer Optimization of Energy and Cost through Unified Modeling of User Behavior and Storage in Multiple Buildings.”

Read the full story on engr.uky.edu.


Midwest researchers aim to make home energy management systems even smarter

by Karen Uhlenhuth

Read full article on energynews.us.


Newswise - August 2017

Read full article on newswise.com


A bird’s eye view? S&T collects crop data from UAVs

Read full article on www.agdaily.com.


News Card Example

‘We were really surprised’: Low-cost precision technology can detect bovine respiratory disease days before symptoms appear

By Teodora LyubomirovaA new study has discovered that tools such as pedometers, wearable sensors and automatic feeders can help farmers detect subtle

Precision technology, machine learning lead to early diagnosis of calf pneumonia

"Wearable sensors, automatic feeders yield clues about onset of bovine respiratory disease."Read the full article at www.psu.edu.Read the full article

Simone Silvestri Co-PI on $1.5 Million NSF Award to Form Smart and Connected Farms - December 2020

The project contributes to Silvestri's work in applying novel communication technologies to cyber-physical systems towards solving interdisciplinary r

Simone Silvestri Wins NSF CAREER Award - March 2020

The award is given in support of early-career faculty who have the potential to serve as academic role models in research and education and to lead ad

Simone Silvestri to Serve as PI on NSF Project for Human Behavior and Energy Management Systems - September 2019

Simone Silvestri, assistant professor in the Department of Computer Science at the University of Kentucky, has been awarded a three-year grant for app

Midwest researchers aim to make home energy management systems even smarter

by Karen UhlenhuthRead full article on energynews.us.

Newswise - August 2017

Read full article on newswise.com

A bird’s eye view? S&T collects crop data from UAVs

Read full article on www.agdaily.com.