Evan Gunderson

Computer Science BS working on integrated conversational AI. Interested in neural networks, developing software, particle physics, and learning.

Francesco De Luca

Aerospace Engineering BS student working on predicting wildfires in Southern California and incident rates of lung cancer in Florida using machine learning and statistics. Interested in machine learning.

Matthew Harris

I am an Aerospace Engineering student at The Florida Institute of Technology and I am planning to get my master's degree in Control Systems. I have always had a passion for programming and computers and working in the lab has broadened by understanding of machine learning and data analysis. Outside of my academics, I am involved in organizations such as the Armed Forces Communications & Electronics Association, Panther Rocket Lab, and the American Institute of Aeronautics and Astronautics.

Gwen Squires

I have recently earned a bachelor's degree in Mathematics - Actuarial Science with minors in Data Science and Finance from Southeast Missouri State University in Cape Girardeau, MO. I am interested in mathematics, statistics, and data science, and I have lengthy experience working with R and Microsoft Excel. I am considering pursuing a graduate degree in statistics, and I have just begun my career in the actuarial field as an incoming Retirement Actuarial Specialist at Aon.

Jesú Muñoz

I am a bilingual Mechanical Engineering student set to graduate in December 2025. Currently, I contribute my knowledge and skills as a Mechanical Design & Project Research Engineer at NASA's L'SPACE Mission Concept Academy. With advanced proficiency in design tools such as Creo Parametric and Siemens NX, I have participated in high-level, complex projects.

Joy Gao

I am currently a Senior at Purdue University studying Data Science, Applied Statistics, and with minors in Economics and Management. I am a driven undergraduate student with a keen interest in data analytics fields, including quantitative analysis. At the SMAG REU, I am on a project using deep learning techniques to map the perimeter of glaciers to measure the area of glaciers in response to climate change.

Tim Wainscott

I have recently earned a bachelor's degree in Astronomy & Astrophysics and Planetary Science with a minor in Computational Mathematics. My current career goal is to model the atmospheres of exoplanets through the use of global circulation models. Outside of academics, I am the former Vice President of the Florida Tech Chess Club and an Eagle Scout since May 2021. I look forward to helping expand the knowledge of planets through my work and am always on the search for learning, experiencing, and using fascinating topics in life and in college.

Emmy Stevens

Emmy is a recent Florida Tech graduate, earning her bachelor's degree in Mechanical Engineering in Spring 2025. She is currently preparing to begin a Universal Creative Internship in Engineering & Safety for Ride/Show Project Management in Fall 2025. She has also been accepted to fast track her Master’s Degree in Mechanical Engineering and will graduate with her Master’s Degree in Fall of 2026. She hopes to work in the theme park industry as an engineer and designer in the future. In her free time she enjoys running, going to Disney, and competes in Ninja Warrior competitions!

Audrey Eley

I am a PhD student studying operations research. I have a background in software, having received my bachelor's in software engineering at Florida Tech in Spring 2025. I am primarily interested in research related to medical applications of artificial intelligence. I am originally from Melbourne Florida.

Aubrey Ruts

Michelle Madera

Crishawn Gayle

Justin Flemming

Erica Gregg

Alexis Cole

Maxwell Jiang

Dianeliz Ortiz Martes

PhD 2025

Jesú Muñoz

BS 2025

Mahmoud Zamani

PhD 2025

Sathvik Jasti

MS 2025

Emmy Stevens

BS 2025

Alain Despeignes

PhD 2024

Robbie Breininger

PhD 2024

Mohamed Jaber

PhD 2022

Wejdan Deebani

PhD 2019

Meshal Shutaywi

PhD 2019

Farag Hamad

PhD 2019

Osita Onyejekwe

PhD 2017

Elvira Erhardt

MS 2014

Mohamed Jaber

My name is Mohamed Jaber, and I hold both a Bachelor's and Master's degree in Statistics, as well as a Master's and Doctorate in Operations Research. With extensive experience in data analysis using R and Python, I bring a versatile skill set to these fields. Additionally, I have taught statistics at both the undergraduate and graduate levels. Currently, I am a Postdoctoral Researcher specializing in the application of artificial intelligence to oncological studies..

Salah Harb

Salah Harb was born in Irbid, Jordan, in 1988. He received his B.S. and M.S. degrees in Computer Engineering from Jordan University of Science and Technology (JUST), Jordan, in 2011 and 2014, respectively. He earned his Ph.D. degree in Electrical and Computer Engineering from Concordia University, Montreal, Canada, in 2023, where his research focused on the hardware implementation of cryptosystems using reconfigurable platforms, as well as signal and image processing systems. Following his doctoral studies, Dr. Harb worked as a Postdoctoral Researcher at Lawrence Berkeley National Laboratory (LBNL), California, where his research centered on distributed fiber-optic sensing systems and high-performance signal processing architectures. He is currently a Research Fellow at Florida Institute of Technology (FIT), where his work focuses on the design and development of cloud-based AI/ML platforms for large-scale medical datasets, integrating data engineering, scalable analytics, and machine learning workflows to support medical research and clinical insight generation. His research expertise spans reconfigurable and embedded system design, cryptographic hardware acceleration, signal and image processing, fiber-optic sensing, and cloud-based AI/ML systems for data-driven applications.

Mahmoud Zamani

I am an AI professional with nearly two decades of experience in the software industry and academia developing advanced machine learning and deep learning and AI models. My expertise includes multimodal AI models, natural language processing and RAGs, graph neural networks, image processing, explainable AI (XAI), and automated reasoning. I received my PhD from the University of Texas at Dallas. I also specialize in designing cybersecurity and privacy-focused ML services, confidential computing, and data-driven products, with an emphasis on performance optimization, distributed training, and innovation. I have a versatile background across multiple domains and am currently working as a Postdoctoral researcher on advanced AI projects.

Mike

Lilly

Carly

Rosie

Drogon

Archie

Shepherd