News

Faculty alumnus Moshe Gamliel suggested a new term in optics to the Academy of the Hebrew Language, in memory of Dany Gonen ZL who was killed 8 years ago. This week, the Academy’s plenary committee approved the new term.

In October 2022, Noam Kalush started working on his PhD at Prof. Hillel Kugler’s lab. Earlier that year he published his first book of prose, and a crowdfunding campaign for the second one is already underway.

The new and unique program will be starting in the next semester. Prof. Sharon Gannot, who will be leading the program, wants you to join, and shares all there is to know.

Dr. Tom Tirer’s work combines signal processing with deep learning and optimization tools, with the goal of developing high-performance, interpretable algorithms

Siginet.bio, a project fresh from Prof. Rachela Popovtzer’s lab, won the Ministry of Innovation, Science and Technology’s Award for Entrepreneurship Postdoc. The project develops technology for simple, noninvasive disease monitoring.

The hardworking minds at Prof. Dror Fixler’s lab developed an optical method for identifying nano-diamonds that penetrate the skin and allow for safe, noninvasive tracking of particles inside body tissue

Four new faculty members, more than a few groundbreaking scientific innovations, numerous media publications, plenty of scholarships, grants, and awards, one alumni conference, and a hackathon. The Faculty of Engineering’s end-of-the-year roundup.

The program was approved by the University and was submitted for approval of the CHE. In addition, a new modeling and process mining lab is already accepting grad students

Dr. Izack Cohen’s specialty in complex process analysis can be applied to the COVID-19 reality: “The world we live in is one of the processes, a series of interconnected actions performed in order to achieve a certain goal. Caring for a hospital patient, a business process, a complex development project, and even food prep in a restaurant kitchen - they’re all processes. Take the restaurant: If we can automatically identify the state of the situation based on information received from various sensors such as cameras or motion trackers, we can send diners automatic notifications when their dishes are about to arrive, handle possible delays, and even check and see whether or not the dish was prepared according to the recipe,” he explains. “This model can be applied to a variety of complex processes and is also relevant to pandemics. Information received from location sensors, medical inspections, complaints about symptoms, questionnaires filled in by the general public - all can help to analyze the pandemic’s progress, identify actions that lead to elevated infection rates, the conditions in which infection occurs and where the next outbreak would be. For example, a certain activity might only lead to infection under certain conditions of duration, environment, etc. If we could identify specific infection conditions, we could keep doing the activities but avoid one of the infection conditions, thereby decreasing it.”

Congratulations, doctoral student Alex Glik of Dr. Shahar Alon's lab, for winning the CHE scholarship for excelling doctoral students in Hi-Tech. Alex's research focuses on the intercellular location of RNA molecules inside nerve cells, using super-resolution imaging and spatial genomics.

Hayadan.org wrote about doctoral student Eli Varon's research, in which he develops technology for personalized cancer treatment using nano-particles and Machine Learning models.
Photo: depositphotos.com

Doctoral student Adi Anaki develops tools for delivering drugs via exosomes. Her work has earned her the CHE’s Levzion scholarship.

Earlier this month, the winners of the Israel Science Foundation scholarship were announced, and no fewer than 50 of those are from Bar-Ilan. Culminating at 40 million ILS, the scholarship funds will be divided among the winners, including four faculty members from the Faculty of Engineering.

Meet Dr. Nisan Ozana, our new faculty member who specializes in neurophotonics: a combination of electro-optics and neuroscience for clinical and functional purposes

Imagine a world where security and speed cameras can not only document accidents or crime but also call for help in real-time. Such a system was developed and successfully demonstrated at the Faculty of Engineering’s hackathon

For many animals – humans included – sight is the most dominant of senses. We are able to see an image and easily recognize objects, distinguish between night and day, comprehend what’s at the front and what’s in the back. Computers, on the other hand, still struggle to do that, despite incredible advances in the field. This is one of the challenges currently facing researchers in computer vision: extracting semantic information from an image.