Projects / Awards

Title: Use of Artificial Intelligence in Optogenetics and CRISPR‑Cas9 Delivery Systems in Treating Chronic and/or Treatment-Resistant Anxiety Disorders. Word Count: 1710. Grade: 15/15. This research proposal was part of the Stanford iGEM Bioengineering Research Program 2024 and was required to complete the course. The paper aims to enhance therapeutic precision and targeting in anxiety disorders. Leveraging AI models, it seeks to provide personalized novel treatments, predicting patient‑specific responses for effective interventions.I am currently trying to find a lab to carry out the research as stated in the paper and possibly come up with positive outcomes.

Interdisciplinary investigation to model the function of a healthy liver via an electrolysis experiment. Word Count: 3713. More precisely, this paper explores an innovative analogy between the liver’s biological functions and the process of electrolysis. The study uses experimental setups to simulate healthy and unhealthy liver conditions by varying the electrolyte concentration in solutions. Results demonstrate parallels between the liver's toxin filtration efficiency and the electrolysis process's performance under different conditions. This interdisciplinary approach offers insights into the liver's critical role in maintaining systemic health while validating electrolysis principles like Faraday’s laws.

Have you ever wondered what are Greece’s most prominent industries that affect the country’s economy? One of the main economic industries in Greece is the tourism industry, which in 2019 made up about 12.5% of its GDP. My teammates and I were wandering around our city centre when we came up with the idea of turning a mobile app into a virtual tourist guide, transforming a walk at the centre of Athens into a tour of culture and history. Our project consisted of three main components: Collecting photos of the monuments to train our machine learning model (from different angles and periods of the day), developing the app, and preparing the final presentation.. I was mostly involved in developing the app. I wrote code in Swift and used CreateML to train a computer vision model that is capable of identifying objects. Explore Athens is a machine‑learning application that identifies sites of great importance and narrates their history using multimedia audio or video and cross‑referencing sources. Though there is still room for improvement, such us adding a map that shows other monuments or even places to rest and eat, and expand the app to cover more areas in Greece, the project was submitted to STEM STARS Greece 2022 where we won the 5th Place Award and to WAICY GREECE 2022 where we won the Distinction in Design and Impact.

A highly competitive event organized by the Centre for Education in Mathematics & Computing, University of Waterloo. High school students from all over the world compete to solve five computing problems.

My teammates and I had recently learned about the various meanings of the tactile tiles used on the sidewalks for visually impaired people. This information ignited the spark to explore this topic further and come up with an innovative idea to help visually impaired people navigate their everyday lives through their mobile phones. That is how navigAId was born! In order to carry out the project efficiently and complete it on time, we divided the work that had to be done and came up with a reasonable timetable. The project was divided into three main parts: Collecting photos for the machine-learning models, writing the code for the app, and preparing the final presentation. I was mostly involved with developing the app. I wrote code in Swift and used Create ML to train a computer vision model that can identify objects and text. navigAId is an AI integrated app that uses a smartphone’s camera to detect buildings such as pharmacies, kiosks, and supermarkets, large objects, such as traffic lights and signs (ex. street signs), and informs the user through a sound notification. It can also assist with financial transactions and payments since it recognizes different bank notes even when folded. The app works as a virtual assistant for visually impaired people. After creating the machine-learning models, developing the app, and doing our research we had a follow-up interview with Mr. Giallouris, the president of the National Federation of the Blind of Greece. His insights affirmed the daily challenges faced by visually impaired individuals and commended us about the societal impact our project had. We then created the presentation and submitted the project to WAICY 2021 where we won the 1st Place / Gold Award and the AI Excellence Award. A month later, we were given the opportunity to present the project to faculty and university students of the National Greek Centre for Scientific Research "DEMOKRITOS".

This assignment explores Deep Brain Stimulation (DBS), a transformative neurosurgical procedure used to treat movement and neuropsychiatric disorders. Highlighting its development, clinical applications, and future potential, the paper discusses how DBS improves symptoms of Parkinson’s disease and other conditions by delivering targeted electrical stimulation to specific brain circuits. While addressing its risks and limitations, the assignment also examines the technological and clinical advancements needed to expand its therapeutic scope to conditions such as depression and Alzheimer’s disease. This review underscores DBS's role in advancing neuroscience and its promise for future innovations.