Over the years, students in This Lab have completed a wide range of innovative and high-quality projects. Many of these projects have been showcased in academic conferences, industry collaborations, and final-year exhibitions, reflecting the creativity, technical skills, and problem-solving abilities of our students:
Unsupervised Machine Learning for Pattern Discovery and Clustering
Student(s):
Ariela Feldman, Eitan Rabinovitz
Supervisor(s):
Prof. Moshe Guy
2024
This project investigates unsupervised machine learning techniques for discovering hidden patterns and structures in large and complex datasets. Unlike supervised learning, unsupervised learning does not rely on labeled data, making it a powerful tool for exploratory data analysis, anomaly detection, and data segmentation in domains such as marketing, cybersecurity, and scientific research.
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Fundamentals and Applications of Modern Optics: Light Manipulation & Interference
Student(s):
Ida Fishman-Green
Supervisor(s):
Prof. Moshe Guy, Dan Brockerstein
2023
This project explores the fundamental principles and modern applications of optics—the science of light behavior, interaction, and manipulation. Optics plays a central role in numerous fields including telecommunications, imaging systems, medical diagnostics, and quantum technologies. The project begins with a theoretical foundation covering wave optics, interference, diffraction, polarization, and the behavior of light in different media.
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ElectroCore: Advanced Electrical Infrastructure
Student(s):
Ariela Feldman, Eitan Rabinovitz
Supervisor(s):
Prof. Moshe Guy
2022
ElectroCore is a research and development project focused on the design and optimization of core electrical systems. It aims to enhance the performance and reliability of power distribution and control circuits in modern electrical networks. By integrating simulation tools, real-time monitoring, and smart control algorithms, the project delivers efficient energy management solutions.
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