11:00 – 11:20
Marcela Viviana KARPUJ, Biotechnology Engineering
My research develops model-based solutions for aging-related diseases, including cancer, neurodegeneration, and infections. We study prion protein roles in cancer and target it with PSDNA. In neurodegeneration, we test compounds using in vitro, yeast, and nematode models. During COVID-19, we developed a saliva-based test detecting all variants. Our work bridges molecular tools and animal models for diagnosis and therapy.
11:20 – 11:40
Elad DENENBERG, Mechanical Engineering
I am passionate about creating technologies that ensure safe and efficient space missions. I specialize in autonomous systems for space operations, focusing on spacecraft cluster coordination, debris avoidance algorithms, and AI-driven mission planning. My research bridges aerospace engineering with computational intelligence, developing practical solutions for satellite formation flying and collision avoidance in increasingly crowded orbital environments.
11:40 – 12:00
Naomi UNKELOS-SHPIGEL, Software Engineering / Information Systems Engineering
My areas of interest include gamification in software requirements engineering, collaborative aspects of software development, and empirical research in the software industry. My work involves applying gamification principles and cognitive theories to various aspects of software engineering. My research bridges the gap between academia and industry, particularly recently in Industry 4.0 domains. Additionally, I am actively involved in software engineering education, developing new and integrative teaching approaches for topics such as conceptual modeling and project-driven development.
12:00 – 12:20
Mahdi GABEN, Civil Engineering
My research focuses on monitoring textile reinforced concrete (TRC) structures using alternating current (AC)-based electrical circuits combined with Time Domain Reflectometry (TDR). TRC structures are thinner and lighter than traditional reinforced concrete due to the textile’s high tensile strength and corrosion resistance. However, due to their thin-walled nature, TRC structures are more prone to cracking, requiring continuous structural health monitoring (SHM).
12:20 – 12:40
Avi WEISS, Mechanical Engineering
This project explores the transformation of a generic robot simulation into a digital twin, using a mobile robot as a case study. A series of targeted experiments were designed to collect data from the physical robot, enabling fine-tuning of the simulation to match the specific unit. Post-tuning validation in complex scenarios showed strong alignment between real and simulated behavior. The work aims to establish a generalizable methodology for digital twin development.