Session Chairs
Lilach IASUR KRUH
Lavi KARP
Microstructural and Mechanical Properties Study of Friction Stir Welded 316L Stainless Steel
9:00 – 9:20
Michael REGEV, Mechanical Engineering
My research is centered on materials engineering, with a particular emphasis on metallurgy, friction stir welding and processing, high-temperature mechanical behavior, and the development of high-entropy and amorphous alloys. A key focus of my work is microstructural characterization, utilizing techniques such as optical microscopy, scanning and transmission electron microscopy (SEM and TEM), energy-dispersive X-ray spectroscopy (EDS) and electron backscatter diffraction (EBSD).
On Covering the Integers with Arithmetic Progressions, Applications and Generalizations
9:20 – 9:40
Ofir SCHNABEL, Applied Mathematics
My research deals with abstract algebra. More specifically, I am interested in group gradings of semisimple algebras, (projective) representation theory and (twisted) group rings and their units.
Identification of Effector Proteins Secreted by Bacterial Secretion Systems
9:40 – 10:00
Eran BOSIS, Biotechnology Engineering
We study bacterial secretion systems, focusing on the identification of novel effector and toxic protein domains, particularly in the Type VI secretion system. Using a combination of experimental and computational approaches, we have discovered key domains involved in secretion and toxicity. Our work enhances understanding of microbial interactions and may support the development of new antibacterial strategies.
The of LLM-Based Systems for Social Skills Training
10:00 – 10:20
Nirit GAVISH, Industrial Engineering and Management
Large language models (LLMs) such as ChatGPT, Copilot, Claude, and Gemini are based on deep learning and trained to understand and generate natural language so that their produced texts are similar in their quality and fluency to those created by humans. Among their many usages is training social skills. Such training can be achieved efficiently, effectively, and cheaply with LLM-based systems. My research addresses design considerations of these systems.
Copper Oxide Nanoparticles for Hypoxia-Targeted Glioblastoma Therapy: A Multidisciplinary Nanomedicine Approach
10:20 – 10:40
Iris WEITZ, Biotechnology Engineering
My research focuses on the design and development of nanomaterial-based drug delivery systems, particularly using copper oxide nanoparticles. I investigate their synthesis, surface functionalization, and encapsulation for controlled drug release, cancer therapy, and environmental sensing. Rooted in nanobiotechnology, this work has led to new directions, including the development of optical fiber sensors and the self-assembly of organic dyes in nanoconfined environments.
