Activities

Save the Date: CEC Fall 2023 Senior Design Project Showcase

Save the Date: CEC Fall 2023 Senior Design Project Showcase

The senior design showcase brings several undergraduate students from different disciplines to showcase their final products as family, friends and industry affiliates come out to watch them demonstrate their projects. Nearly 400 seniors present their team-based projects that focus on
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KFSCIS Women Join the Way Forward at the Grace Hopper Celebration  

KFSCIS Women Join the Way Forward at the Grace Hopper Celebration  

A cohort of 50 promising young KFSCIS women joined more than 30,000 attendees at this year’s Grace Hopper Celebration in Orlando. This year’s theme, The Way Forward, provided a rallying cry for the tech industry to come together and create a more
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Commercialization of Early Detection Technologies for Epileptic Seizures 

Commercialization of Early Detection Technologies for Epileptic Seizures 

AI-Neotech, a spinoff company of Dr. Fahad Saeed, has been awarded a Small Business Technology Transfer (STTR) grant to explore the commercialization of technology invented at KFSCIS leading to the detection of oncoming epileptic seizures. The company will explore the
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ShellHacks in photos: Florida’s largest hackathon lights up Miami

ShellHacks in photos: Florida’s largest hackathon lights up Miami

Florida’s tech boom is no longer just a moment. It’s a movement.  That was made clear recently at ShellHacks, Florida’s largest hackathon. More than 1,200 hackers from all over the world participated in the 36-hour coding fest at FIU’s Biscayne Bay Campus, including hundreds of students
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Matchmaking Proteins Using Machine Learning

Matchmaking Proteins Using Machine Learning

Professor Giri Narasimhan and Dr. Vitalii Stebliankin created a machine-learning model to predict how protein molecules will bind together, important for designing new medications and vaccines. The AI-based method uses biological and structural information to score the strength of the
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AI-driven RFID Sensing for Smart Health Applications

AI-driven RFID Sensing for Smart Health Applications

Many existing health monitoring systems are expensive, uncomfortable to wear, or can only be administered in a hospital environment. With advances on the Internet of Things (IoT), Machine Learning (ML), and Artificial Intelligence (AI), it is highly desirable to develop
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