Hello! I am Paco-Jaleel Balthazar, and I’m currently a rising junior at the University of Central Florida majoring in electrical engineering with a focus on power electronics. I’m working with Dr. Qun Zhou Sun and Anthony Bishop-Gylys within the college’s Smart Energy Infrastructure Systems lab. Our project, “Designing Microgrids Through Open-Source Modeling and Machine Learning” aims to develop a way to design and a manage a microgrid completely autonomously. This project makes use of various machine learning paradigms including Q-Learning, function optimization, and deep learning neural networks.
Weekly Presentations
Hello! My name is Wahub Ahmed, and I am a rising sophomore pursuing a B.S. in Computer Science and Mathematics at Haverford College. This summer, I am working with my partner Abraam Youssef under the guidance of faculty mentors Dr. Damla Turgut and Dr. Ladislau Bölöni and graduate student Furkan Cimen on ScaledHome, an IoT augmented physical scale model of a suburban home. This is a smart home model that has sensors which record the temperature and humidity of all rooms. We will be improving the realism of the model by automating the movement of the heat lamp, improving the physical components of the model, and running more realistic scenarios to collect data. Our goal is to use machine learning techniques to predict the temperature and humidity of ScaledHome. We will specifically work on comparing those ML models with traditional equations of temperature and humidity to gauge where ML models outperform traditional prediction techniques, and perform an ablation study.
Weekly Presentations
I am Abraam Youssef, a rising senior at Stetson University studying Computer Science. This summer I, along with my partner Wahub Ahmed, will be working under faculty mentors Dr. Damla Turgut and Dr. Ladislau Bölöni and graduate student Furkan Cimen to perform research on an IoT augmented scale model of a suburban home. This is a smart home model that has sensors which record the temperature and humidity of all rooms. We will be improving the realism of the model by automating the movement of the heat lamp, improving the physical components of the model, and running more realistic scenarios to collect data. Our goal is to use machine learning techniques to predict the temperature and humidity of the scaled home. We will specifically work on comparing those ML models with traditional equations of temperature and humidity to gauge where ML models outperform traditional prediction techniques, and perform an ablation study.
Weekly Presentations
My name is Myat Win, I am a rising junior and an Early Master’s student pursuing a Bachelor of Science with a concentration in Web and Mobile Application and a minor in mathematics in the College of Computing and Informatics of the University of North Carolina at Charlotte. I am working on a Smart Walker IoT under Dr. Turgut and Dr. Bölöni to enhance real-time navigation in elderly and vision-impaired individuals through an obstacle aversion predictive model. My partner, Laura Figueroa, and I are utilizing Google’s Scalable and Efficient Object Detection, EfficientDet-D5, to bring this exciting project into reality this summer!
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My name is Laura Figueroa, I am a rising senior graduating with a Bachelor’s in Computer Science in Fall 2021 from Florida International University. Through this program, I am working with Dr. Turgut, Dr. Bölöni, and my partner Myat Win on an IoT-enabled smart mobility device for aging and rehabilitation that will help blind and mobility-impaired users navigate around obstacles. Specifically, we will use Google’s EfficientDet, a scalable and efficient object detector with state-of-the-art accuracy, paired with our own distance estimation model to inform the walker user of incoming obstacles in their path.
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My name is Nikolas Yonkers and I am a Senior attending the University of South Florida working on a Bachelors degree in Computer Science. I am working with Dr. Gregory Welch and Dr. Gerd Bruder at the SREAL Synthetic Reality Lab on a project involving Augmented Reality glasses and IOT devices. Our goal is to use the Microsoft HoloLens to perform gestures to take control of various IOT devices and manipulate those devices in unique and innovative ways. We will develop this project using the Unity Game Engine and the API’s of different IOT devices. We hope this research project will have many applications at both the consumer and industrial scale to enhance and improve the user experience of AR glasses and IOT devices.
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I am Estefanía Sánchez, a rising senior at the University of Central Florida studying Computer Science. This summer I, along with my partner Caitlin Petro, will be working under Dr. Damla Turgut and Dr. Ladislau Bölöni to perform research on an IoT augmented scale model of a suburban home. We will be improving the realism of the model by adding various appliances to simulate different climates and changing the model setup to be more flexible for future experimentation. Our goal is to use machine learning techniques to accurately predict the temperature inside the house in different scenarios so that in the future the house can react to those environmental changes based on the predictions.
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My name is Celine Ramirez, and I am a rising junior at the University of North Florida. I am majoring in Computer Science with a minor in Physics. This summer, I am working with Dr. Hyoung Cho and Dr. Ladislau Böloni on project 5, “Manufacturing IoT sensors: a flexible and wearable UV radiation sensor based on metal oxide semiconductors.” Specifically, I will fabricate a flexible UV sensor and design a wearable device that measures UV radiation in real-time.
Weekly Presentations
Hey-o. My name is Caitlin Petro and I am a rising Junior at the University of North Carolina at Charlotte studying Computer Science. During the summer of 2021, my partner Estefania Sanchez and I are working under faculty mentors Damla Turgut and Ladislau Bölöni and graduate students Safa Bacanli and Furkan Cimen on the “IoT augmented physical scale model of a suburban home” project. The purpose of this research project is to perform accelerated experiments in various simulated environments on our scaled home. Our ultimate goal is to develop a smart-home program that predicts and regulates temperature in an energy-efficient and cost-effective manner. Outside of my nerdy antics, my biggest joy is my guinea pigs. Please email me with any questions you may have about myself or this project at caitlinpetro1@gmail.com! Or for a picture of my guinea pigs.
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Hello, my name is Tolga Koc, I am a senior graduating from Missouri University of Science and Technology in December 2021. I am currently majoring in Mechanical Engineering and minoring in Computer Science. During this summer, I am working with Dr. Hyoung Cho and Dr. Lotzi Boloni on “Manufacturing IoT Sensors: Electrochemical Sensors.” The main objective of this project is to design and fabricate a device that can detect heavy metal ions in an aqueous solution using an electrochemical sensor. The fabricated device would be implemented either in the drinking water or wastewater system.
Weekly Presentations