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The Faculty of Engineering is launching ChallENG, its newest excellence track. The highlight of the track is a four-year project that will provide students with hands-on experience and introduce them to the industry and key figures from day one

PhD students Shir Hartman and Chemda Wiener, from Dr. Yaara Erez's research group, presented posters at the Organization for Human Brain Mapping conference. “It was an amazing experience to see such interest in our research and how engaging it is to people from all over the world,” says Shir

This unique and contemporary program trains the next generation of algorithm developers and AI engineers, teaching them to tackle the primary challenge of the digital age: extracting knowledge from a vast array of data sources and developing algorithms and AI systems that can learn from them

A group of researchers under Prof. Yossi Shor is working on a neural network that operates using pulses, which has been proven significantly more efficient and economical than other neural networks. The research, which won a grant from the Israel Innovation Authority, has diverse applications, among them the detection of epileptic seizures

As part of the hackathon, the students of the course, led academically by Prof. Adam Teman, were asked this time to develop a system based on artificial intelligence for sign language recognition. The challenge was defined and led by Dr. Udi Kra

Prof. Amos Danielli served as a member of the conference scientific committee and delivered a lecture there, as did Prof. Zeev Zalevsky. Ph.D. student Shmuel Burg and M.Sc. student Tom Rotman presented posters – and Tom also won the Best Poster Award

Rodriguez, a student at the Faculty of Engineering, was the lead author of a paper on interference mitigation in communication systems via deep learning. The paper was presented at the 2026 International Conference on Communications by his supervisor, Dr. Amir Weiss, and drew considerable interest

Trop's research, supervised by Dr. Boris Desiatov, explores thin-film electro-optic material platforms. The scholarship was awarded to Trop for developing an innovative three-dimensional optical phase array for manipulating light beams

Throughout her career, Faculty of Engineering alumna Coral Cohen Zolkov has repeatedly encountered questions about breaking into industry and building a meaningful career. That is why she created a podcast that offers practical insights and experience from industry and entrepreneurship through conversations with accomplished women leaders.

The ceremony celebrated 36 prize winners, some of whom are on reserve duty. "The fact that we are standing here today is proof that academic resilience and national resilience go hand in hand," said student representative Elad Cohen

The Faculty of Engineering was well represented in this year's conference, with participating faculty members and students. Five faculty members gave lectures; Prof. Amos Danielli, Prof. Sharon Gannot, and Prof. Alex Fish served as program subcommittee chairs.

The event was born of a special collaboration between the Faculty of Engineering and the Department of Computer Science and Artificial Intelligence, created with the goal of pushing boundaries and nurturing the next generation of intelligent agents. The initiative was led on behalf of the Faculty by Dr. Ofir Lindenbaum and Dr. Alexandra Simanovsky

The prize is awarded to outstanding doctoral students for the 2027 academic year. Sarah's research, supervised by Prof. Moti Fridman, focuses on quantum optics and temporal optics, and on how light can be controlled in time as well as space.

ICASSP is the leading international conference of the signal processing community. Dr. Weiss's papers addressed task-oriented compression that preserves information critical for direction-of-arrival estimation, and a novel algorithmic framework for an innovative digitization architecture for handling signals with a wide dynamic range

Dr. Yoli Shavit is a member of a consortium that is developing an integrated AI model for materials science that will enable dramatic acceleration in new materials development. She is responsible for the AI architecture intended to link entirely different types of data