School of Mechanical Engineering

 

Prof. Yoram Reich was awarded Fellow of the Design Society at its Biannual conference in July 2023.

 

Dr. Yoram Kozak

Dr. Yoram Kozak received the Bergmann Memorial Research Award for 2023. This award will run concurrently with BSF Grant No. 2022191, "Modeling and Analysis of Heavy Hydrocarbon Liquid Fuel Spray Detonation” and carries a stipend of 10,000$. 

 

Dr. Gregory Zilman

An ongoing R&D project of Tel Aviv University (Ramot), Israel Aircraft Industry, and Elta Ltd.:

Mathematical model of AUV manoeuvring: AUV (Autonomous Underwatered Vehicles/submarines) can be used for surveillance, as anti-submarine and  anti-warship weapon, and much more.

See an official film in https://youtu.be/vvJ6pzR7rYQ?si=TeGfORQkQsHi55Re

Explanations are available by request (zilman@tauex.tau.ac.il, 054-4679195)

 

Prof. Hadas Mamane

The course "Introduction to Environmental Engineering" is focused on developing technological solutions for pressing environmental challenges. Its goal is to integrate environmental, technological, and social entrepreneurship. The course is conducted in cooperation with the "Connected Plus" (מתחברים פלוס) program. Studies involve learning and experiencing problem-solving, guided by industry experts, based on problem-based learning (PBL) principles.

This year most of the projects were dedicated to the WAR challenges, working with the ARMY and Zalul/NGO and Ministries.

Project 1: Cooperation with the "Zalul" (NGO) to reduce single-use plastics in the IDF:

The goal was to reduce the number of disposable single-use plastics in IDF. In cooperation with the "Zalul" (NGO), following their success with the provision of reusable cups (8000+) and a saving of about 2 million disposable cups per month, our students focused on the problem of disposable single-use plates and cups. A survey was sent through the association to the various units and through members in the reserves, to characterize the problem and the need for a solution (would multi-use be a desirable solution if the washing solution would not be painful for the soldiers for example). Based on the responses to the survey, a solution was drawn up for multi-use dishes by washing the dishes many times in a portable washing machine in the field - with an air pressure compressor connected to a vehicle.

 

 

Image 1: illustration of the proposed portable dishwasher for small units in the IDF. The structure of the machine: (1) Base (2) drum (3) Axis (4) brush (5) Coverage (6) Crank.

 

Project 2: Modeling the environmental effect of the war – car burning:

The goal of this project was to model pollutants in the ground as a result of the war zone, with an emphasis on a model for heavy metals such as lead, which probably spilled in large quantities in the area of the massacre in Kibbutz Reim where hundreds of vehicles with lead batteries were burned. Based on collected data from the hydrological and metrological service, a model of the pollutant was drawn (in the Hydrus 1D software) to show how the problem might affect the groundwater, the agricultural land, etc., and what to do in order to reduce environmental damage. In the lack of access to sample the ground and determine the environmental effect in a war zone, this work found that the lead pollutant most likely did not leak into the groundwater, and remained on the level surface. The result of this work indicates that the best clean-up method should be focused on the ground-level soil only, focusing on the resources and helping the rehabilitation of the area

Image 2: Re'im music festival massacre (left), and simulation model of lead profile in the area.

 

Project 3: Asbestos in war zones:

Innovative methods for detecting, measuring, and removing solid asbestos/asbestos particles in the air. Currently, there are gaps in the ability to detect, measure, and remove solid asbestos/asbestos particles in the air. The accepted measurement methods, as described in the tender issued by the Ministry of Environmental Protection, require a long presence on the ground, expensive laboratory tests, and a long period during which asbestos may leak into the environment. The existing methods for removing asbestos after its detection are also expensive, especially when it comes to friable asbestos. According to the Knesset Research Center, there are several barriers to asbestos removal, particularly in conflict zones and during “the Iron Swords War”. As a result of the declaration of many areas as "closed military areas," access to sites contaminated with asbestos is difficult. Consequently, the author provides an example of a fire that "burned for several days without treatment," as well as an asbestos hazard at a base that was impossible to reach because of its proximity to the border. A comparison of alternative, innovative, and globally accepted measurement, identification, and treatment methods will be presented in this study to provide authorities and the military with a faster and more efficient method for measuring, identifying, and treating asbestos. A feasibility analysis will also be conducted to evaluate their economic viability.

 

Project 4: Illegal dumping of construction waste:

A new technological solution is being used to combat illegal construction waste dumping within the Gaza Envelope: ConTracker. The removal and/or transportation of construction waste around the world has several issues, and our focus will be primarily on the problem in Israel, particularly in the Gaza Envelope during wartime. The solution is to install a system that detects when the container it is attached to reaches the unloading angle. It consists of a GPS receiver, gyroscope, Esim, computer and control system, as well as a year's worth of batteries. It is attached to the bottom of the container within a box. When it reaches the unloading angle, a SIM message will be sent with information regarding the time and location.

 

Project 5: Reducing mixed agriculture waste. Collaboration with Ministry of Environmental Protection:

Since October 7th, there has been a great shortage of agricultural workers. We have volunteered in farmers' fields. As a result, we saw the problem of agricultural waste and wanted to find a solution to reduce the amount of waste mixed with plant material and plastic. The group of students who worked on this challenge focused on the issue of separating dahlia threads from organic waste. After picking the crop, a lot of waste remains in the fields: dahlia strings (plastic waste) and plant waste (bushes, seedlings on which the fruit grows). The dahlia threads support the plants and protect the fruit from dirt, but it is difficult to separate them from the plant debris. The difficulty is that the separation process is manual and requires time and manpower that can be utilized elsewhere. As a result, most of this waste goes to landfill. When the farmers dump the waste, they lose money and resources that could have if he recycled. For example, the plant waste can be put in the composter and the dahlia threads can be recycled and reused. The students studied the literature and chose a solution by passing through an ecological thread, based on an organic material common in Israel - orange peels. Through a fairly simple process, it is possible to make biodegradable ecological thread from the husks, thus reducing the large amounts of buried or burned waste and saving the farmer and the environment a lot of damage.

 

 

TKOMA International Center for Water and Climate Resilience: Inclusive and Detailed Overview: The TKOMA International Water Center, initiated in the wake of October 7 to support regional development, is set to transform the TKOMA region and Sderot into a premier global hub for water and climate resilience. This initiative is designed to blend innovative research, propelling Western Negev into the international spotlight as a center of excellence in water.

Location and Regional Significance: The Center is strategically located in the Western Negev, an area exemplifying climate resilience at the desert's edge. This region, featuring a mix of rural and urban landscapes and being home to 70% of Negev fields irrigated by the Shafdan system, serves as Israel's fresh food barn. The presence of leading companies such as Mekorot and WaterEdge further underscores the region's suitability as a model for sustainable water management and climate adaptation.

 

Components and Strategic Integration. Key elements of the Center include:

  • An Applied Research Institute, fostering innovative collaborations between academia and industry.
  • Sapir College, playing a crucial role in education and training, with state-of-the-art facilities for experimentation and demonstration.
  • Simcha Station, dedicated to extending Israeli water management expertise globally.
  • Hydroinformatics emphasizing digital technology in water resource management.
  • The Center itself, is envisioned as a "One Stop Shop" for Israeli expertise, offering interactive educational and exhibition spaces.

Impact and Global Outreach. The Center is dedicated to making significant strides in education, research, entrepreneurship, and employment within the region. It aims to attract leading industrial companies, boost local and national economies, and showcase Israeli innovations in water management on a global stage, reinforcing the region's standing as a climate resilience model.

Research and Educational Emphasis. Central to the Center's mission is a robust research agenda focusing on areas such as water system quality modeling, and infrastructure integrity testing including the effects of warfare and pollution. These research efforts are closely aligned with strengthening Sapir College's educational offerings in water sciences. By integrating digital technologies and software into traditional water science disciplines, the center is preparing a new generation of professionals skilled in modern water management challenges.

The multifaceted approach to sustainability in water highlights technologies as extracting energy and nutrients from sewage sludge, recovering precious metals through brine mining, producing hydrogen from wastewater and concentrates, carbon capture via seawater electrolysis, zero emissions in desalination and waste treatment, and assessing the lifecycle and carbon emissions of water technologies during the research phase.

Collaborative Framework. Strategic partnerships are vital to the Center's success. Collaborating with academic institutions like Sapir College, Tel Aviv University, Ben-Gurion University, and government bodies such as the Sderot Municipality and Sha'ar HaNegev Regional Council, industry leaders like Mekorot and WaterEdge, as well as companies such as Aquestia. The Center adopts a holistic approach to addressing water and climate challenges.

Development Stages and Financial Planning. The development of the center is focused on research infrastructure, educational facilities, and the visitor center, and then expanding to broader capabilities. A comprehensive financial plan underlines this progression, with detailed estimates for establishment costs, operational expenses, and revenue forecasts extending to 2030 and beyond.

In summary, the TKOMA International Center for Water and Climate Resilience, through its strategic location, innovative approach, and robust partnerships, is poised to make substantial contributions to water and climate resilience, both nationally and internationally. By leveraging local resources, academic strengths, and industry expertise, it aims to become a beacon of innovation and sustainability in these critical sectors.

 

Dr. Igor Berinskii

The Multiscale Mechanics of Solids group (Head – Dr. Igor Berinskii) works on two projects supported by the Ministry of Energy and Infrastructure and related to homeland security. Both projects develop geomechanical modeling of sedative rocks typical to Israel. One of the projects is devoted to the development of high-performance rock drilling and excavation. The other one is targeted on development of seismic barriers able to reflect and absorb the waves in ground caused by earthquakes. Although these projects are not directly related to the current war, their results already raised the interest of national military research units because the same analytic methods can be used to solve the problems related to the effective access and destruction of the deeply located underground engineering structures.

 

Roi Livni together with coauthors:

 Idan Attias, Gintare Karolina Dziugaite, Mahdi Haghifam, Roi Livni, Daniel M. Roy,

won a best paper award at the ICML 2024 conference, which is a top-tier conference in the field of Machine Learning.

The article dealt with the subject: Information Complexity of Stochastic Convex Optimization:

Applications to Generalization and Memorization

 

 

  School of Electrical Engineering

 

Prof. Hagit Messer-Yaron

Prof. Prof. Messer-Yaron is the recipient of the prestigious IEEE Medal for Environmental and Safety Technologies. This award is given for outstanding accomplishments in the application of technology in the fields of interest of IEEE that improve the environment and/or public safety.

 

Prof. Dana Ron Goldreich

Dana Ron (Goldreich) was named an ACM fellow for contributions to sub-linear time approximation algorithms.

From the ACM website:https://awards.acm.org/award-recipients/ron_4644787

Press release: https://awards.acm.org/binaries/content/assets/press-releases/2024/january/2023-acm-fellows.pdf

 

Prof. Emilia Fridman

Emilia Fridman was awarded the IFAC (International Federation of Automatic Control) Harold Chestnut Control Engineering Textbook Prize. This Prize is awarded is given to one book, once in three years. It recognizes the author(s) of a textbook judged to have most contributed to the education of control engineers.

 

Dr. Jonatan Ostrometzky

In mid October, about a week after the situation started, Jonatan was contacted by a colleague of him, Prof. Tirza Routtenberg from Ben-Gurion University, who organized an Ad-Hoc team to try and analyze specific electric signals. He used his expertise in signal processing together with the team to harvest intelligence from a number of real-world sources. They worked intensively in a hackathon-style way for roughly a month, until they achieved a working proof-of-concept algorithm, which was delivered to representatives from the Ministry of Defense for active use.

 

Prof. George Weiss and Prof. Michael Margaliot

A 2023 report from Yale University indicates the Russian military has launched "widespread and targeted efforts to cripple vital power generation" on the Ukrainian power grid. Israel may be facing a similar challenge if war breaks in its northern front. In a recent news interview the head of the emergency unit of Noga - the Israeli Independent System Operator - estimated that war against Hezbollah may lead to wide-spread damages in the transformation and distribution facilities of the Israeli grid.  

Two researchers from the School of Electrical Engineering at Tel Aviv University, Profs. George Weiss and Michael Margaliot, are studying the resilience of the Israeli power grid using dynamical systems stability theory and simulation models. Their research, that is funded by Noga, aims to make the grid less fragile and more robust to various attacks, primarily with respect to the sudden disconnection (failure) of a large generator or a transmission line. In such a scenario, it is desired that clever algorithms should keep the remaining part of the power grid synchronized and stable.

 

Dr. Itai Epstein

In the context of the war effort, we have aided a certain defense company to measure in my laboratory the abilities to identify certain chemicals found in the launched rockets.

 

Mr. Uri Levin, former CEO of Discount Bank, was appointed as CEO of Tidhar Real Estate Group. Uri is an Alumni (2003, cum laude) of both Electrical Engineering and Computers Science.

 

Mr. Yoav Turgeman was appointed as CEO of RAFAEL. Yoav got his BSc and MSc degrees with honors in electrical engineering from TAU.

 

Dr. Alon Stopel was appointed as Chairman of the Innovation Authority and Chief Scientist for Innovation at the Ministry of Innovation, Science and Technology. Dr. Stopel holds a Ph.D. in electrical engineering from TAU.

 

The research of Professor Tal Carmon from the School of Electrical Engineering on 'plasma microcavities' was accepted by the Optical Society of America to appear in the 'Optics in 2023' special issue, which highlights the most exciting optics research to emerge in the preceding 12 months.

 

 

  Department of Industrial Engineering

 

Projects Related to the October 7th War

Risk and early signs of PTSD in people indirectly exposed to October 7th events

By Prof. Dan Yamin and Prof. Erez Shmueli (both from the Dept. Industrial Eng.)

The coordinated terrorist attacks on October 7th, 2023, resulted in catastrophic atrocities and marked the beginning of the 2023 Israel–Hamas war. It remains unclear to what extent such indirect exposure influences the occurrence of stress, anxiety, and post-traumatic symptoms. The researchers analyzed data from a three-year prospective study in which 4,797 participants received smartwatches and completed daily questionnaires, supplemented by a nationwide clinical survey with 2,536 participants. Among the participants not directly exposed, the findings estimated PTSD prevalence to be 22.9-36.0% and moderate to severe anxiety prevalence to be 22.9-55.32%, with 752,057 daily questionnaires before and after October 7 further indicating higher stress levels than those reported in previous events, including political disputes, the COVID-19 pandemic, and past armed conflicts. This study demonstrates the unprecedented amplifying effect of mass media on mental health in terror and war settings and highlights the potential of continuous monitoring for early detection and prompt treatment of those in need.

Unveiling of Motivational Drivers for Household Adjustment in Emergencies Toward Equity-driven Emergency Relief Supply Chains - A Cross-Disciplinary Study

By Dr. Reut Noham from the Department of Industrial Engineering and Dr. Moran Bodas from the Department of Emergency & Disaster Management, School of Public Health, Faculty of Medicine, Tel-Aviv University.

The study aims to identify and describe motivators for household adjustment behavior for emergencies and their socio-demographic correlates, in particular, socio-economic status (SES). Next, the project develops a mathematical model that integrates these motivators with decisions regarding supply allocation, aimed at increasing cooperation and enhancing emergency relief operations.

 

A Data Science for the Approach to The Civil Archive of the October 7th War  

By Prof. Eran Toch in collaboration with the School of Historical Studies at Tel Aviv University.

The extensive documentation created by Israeli citizens in the wake of the October 7th attack and the war that followed constitutes an invaluable historical source. “The October 7th Civil Archive" is dedicated to ensuring the long-term preservation of these sources, which play a crucial role in any future investigation into the contemporary social experience. The department researchers and students collaborate with this initiative, using state-of-the-art data science methods and processes to create the largest and most accurate digital archive. Our activities include scraping digital material, name-entity recognition with machine-learning methods, and geographical analyses.

 

Modeling the impact of emergencies on agriculture in Israel

By Dr. Reut Noham in collaboration with the Yesodot Institute.

The October 7th War emphasized the importance of Israeli agriculture to national resilience, food security, and Israel's economy. In times of emergency, it is crucial to make decisions at both the strategic and operational levels, decisions that have consequences both in the immediate and long term. In light of questions that arose from the field during the decision-making processes in the war, the researchers developed a data-based model that provides a reliable picture of the economy's production capacity (both animal and plant) during the war, as well as in the post-war period until the full rehabilitation of the economy. The model is capable of integrating various scenarios that include conditions of uncertainty, such as active war zones, the timing and duration of the military campaigns, and the intensity of agricultural productivity. The model was used as a first prototype by the Ministry of Agriculture, and is now further developed into an internal product.

 

 

  Department of Biomedical Engineering

 

Dr. Dekel Roselfeld won the ERC Starting Grant, for developing wireless magnetic stimulation of the intestine using magnetic adhesive nanocomposites, to control motility and treat inflammatory bowel diseases.

 

Dr. Or Perlman won the ERC Starting Grant (~1.5M euros). He proposed developing a transformative molecular MRI technology that will enable specific, quantitative, rapid, contrast-material-free treatment monitoring of pediatric brain cancer using a combination of biophysical models and AI.

 

Prof. Gili Bisker won the 2024 Kadar Family Award for Outstanding Research at Tel Aviv University.

פרופ' גילי ביסקר מהמחלקה להנדסה ביו-רפואית זכתה בפרס קדר לשנת 2024, קטגוריית "צעירים.ות" (עד 10 שנים במסלול עם קביעות). הפרס הוענק לה במסגרת אירועי חבר הנאמנים.

מדי שנה, מוענקים 2 פרסי קדר בקטגוריית "ותיקים.ות" ו- 2 בקטגוריית "צעירים.ות"; בכל אחת משתי הקטגוריות – פרס אחד לצד "המזרחי" של הקמפוס (מדעים מדויקים, הנדסה, רפואה, ומדעי החיים), פרס אחד לצד "המערבי" (ניהול, משפטים, מדעי החברה, מדעי הרוח, ואומנויות).

Prof. Bisker started her position as Director of the Marian Gertner Institute for Medical Nanosystems, which is managed jointly by the Faculty of Engineering and the Faculty of Medical & Health Sciences.

 

Ben Maoz:

 

פרופ' בן מעוז זכה ב"פרס מחקר מקרן ע"ש יולודן" לשנת תשפ"ד בתחום יישומי המדעים המדויקים או הטכנולוגיה מתקדמת.

הפרס מוענק לו מטעם הטכניון עבור הישגיו בעבודת המחקר:

"The development of means to restore the ability to sense, and the creation of advanced models for studying human physiology using tools such as "organ on a chip" and stem cells and in the field of bio-hybrid robots."

 

Ms. Chaviva Sirote-Katz won a Clore scholarship for excellent PhD students.

 

 

  Department of Materials Science and Engineering

 

Prof. Noam Eliaz, Dean of Engineering, is the recipient of the prestigious 2024 TMS Leadership Award. This award recognizes an individual who has demonstrated outstanding leadership in the national and international materials community in some aspect of the fields of metallurgy and materials, as a representative of an industrial, academic, governmental, or technical organization. His citation states: “For his academic and scientific leaderships; founding DMS&E at Tel Aviv University; development of materials and processes for biomedical industries; his enormous impact on Israel's defense.”

The award has been given annually since 1986 to maximum one recipient. Noam is the 34th recipient, following 31 from the USA, 1 from Japan, and one from Brazil. Past awardees include a director of Brookhaven National Laboratory, the Associate Director of Manhattan Project, a Director of NSF & NIST, a President of Carnegie Mellon University, a Director of AFOSR, members of national academies, etc.

 

Prof. Brian Rosen

The Rosen laboratory was awarded the 2023 Climate Solutions Breakthrough Research Prize from KKL and JNF-Canada for their work on novel catalytic materials to produce ammonia at a much lower energy consumption and greenhouse emission rate compared to the conventional process. Ammonia is used as a primary component in fertilizers, and enables for the production of enough food to sustain the current global population; however, the current practice for producing ammonia is responsible for 1.6% of all carbon dioxide emissions.

 

Dr. Hanna Bishara won the Maof Scholarship for excellent new faculty from the Arab society.

 

  מלגות

 

רון אופיר (ביה"ס להנדסת חשמל, מנחה: פרופ' מיכאל מרגליות) ולהדס הקסטר (ביה"ס להנדסה מכאנית, מנחה: פרופ' ראמי חג'-עלי) על זכייתם במלגת חזנוב לדוקטורנטים.ות ולבתר-דוקטורים.ות.

 

דוקטורנטים: גל ליפשיץ (ביה"ס להנדסת חשמל), אור הירשהורן (ביה"ס להנדסת חשמל) ומתן אל יחזקאל (המחלקה להנדסת תעשייה) על זכייתם במלגות ע"ש דוד ופאולינה טרוצקי ז"ל לשנת הלימודים תשפ"ד.

 

רותם גל קציר ודניאל בן חיים - מלגת הות"ת לדוקטורנטיות מצטיינות בתחומי ההייטק

 

רוני  גטניו, דוקטורנטית בהנחיית טלי אילוביץ, זכתה במלגת אדמס היוקרתית.

 

 

 

 

 

 

 

 

הטקס השנתי להענקת מלגות הצטיינות לסטודנטים.ות

31 יולי 2024
KLA SC

טקס הענקת מלגות הצטיינות של חברת KLA לשנת 2024

 

ביום רביעי, 31.7.24 התקיים טקס הענקת מלגות KLA  למצוינות. המלגות מוענקות על ההישגים בלימודים ומצוינות מחקרית, לסטודנטים וסטודנטיות מכל מקצועות ההנדסה והמדעים המדויקים. התכנית נוסדה לשם קידום מחקר חדשני בקרב תלמידים.ות מבטיחים, כאשר לקול הקורא שפורסם נשלחו עשרות קורות חיים מרשימים, ולאחר בדיקה דקדקנית נבחרו עשרת הזוכים והזוכות, הטובים והמתאימים ביותר מהפקולטה להנדסה ומהפקולטה למדעים מדויקים. ראוי לציין כי קודם לכן העניקה KLA  חסות לתוכנית המצטיינים.ות של בית הספר להנדסת חשמל.

חברת KLA היא שותפה משמעותית של אוניברסיטת תל אביב ומהווה גורם חשוב באקדמיה, ובחברה הישראלית כולה. KLA רואה את הקהילה לנגד עיניה, ומבינה את החשיבות של תרומה והשקעה באנשים ובדור העתיד.

חברת KLA ישראל הינה שותפה חשובה ומשמעותית מאד של אוניברסיטת תל אביב ושומרת על קשר הדוק עם המרכז לקשרי תעשייה של האוניברסיטה עוד מראשית ימיו. החברה אימצה ללבה את נושא המצוינות האקדמית ומשקיעה רבות בפיתוח הקשר עם האוניברסיטה בקשת רחבה של תחומים. ראוי לציין כי מעבר לחסות השנתית עבור מלגות ההצטיינות, החברה אף שותפה פעילה בהנחיית פרויקטי גמר של סטודנטים של הפקולטה להנדסה, תמיכה במעבדות מחקר, אירועי גיוס, הרצאות טכנולוגיות, מלגות ועוד

אודות KLA

חברת KLA מפתחת ציוד ושירותים פורצי דרך עבור תעשיית האלקטרוניקה, המאפשרים חדשנות בתהליכי הייצור. אנו מספקים פתרונות מתקדמים לבקרת תהליכים עבור היצרנים המובילים בעולם בתחומי השבבים, המעגלים המשולבים, המארזים המתקדמים והמעגלים המודפסים. הודות לשיתוף פעולה קרוב עם לקוחותינו, צוות המומחים שלנו, הכולל פיזיקאים, מהנדסים, ומדעני נתונים, מפתח ומייצר פתרונות אשר מניעים את העולם קדימה.

טקס הענקת מלגות KLA למצוינות

הטקס נערך בהנחיית יערית רחמים אברוצקי, מנהלת המרכז לקשרי תעשייה, ונפתח בדברי ברכה של ראש המרכז לקשרי תעשייה של אוניברסיטת תל אביב, פרופ' דוד מנדלוביץ, דיקאן הפקולטה להנדסה פרופ' נעם אליעז, פרופ' רון ליפשיץ, סגן דיקאנית להוראה בפקולטה למדעים מדויקים וד"ר ניר טורקו, מנהל קבוצת פיזיקה בחברת KLA, אשר שיבחו את הישגיהם הכבירים של הסטודנטיות והסטודנטים ואף עמדו על חשיבות הקשר עם KLA. לאחר מכן הגב' ויקי פלטניק סיפרה אודות התפתחותה של KLA בהיבט המקומי והגלובלי, ושיתפה על חשיבות הקשר של החברה עם האקדמיה.

באירוע כיבדו אותנו בנוכחותם נציגי החברה בינהם, ניר טורקו, סאשה שלפוב וויקי פלטניק ושמחנו לשמוע מפי שלושתם את הערך שהם רואים בשמירה והמשכיות של שיתוף הפעולה האקדמי והמחקרי בקמפוס.

 מר אלכסנדר שלפוב, מנהל תחום בינה מלאכותית ותוכנה בחברת KLA העביר בהמשך הרצאה שכותרתה "AI על קצה המזלג".

מדברי פרופ' מנדלוביץ: "כמו בכל שנה בשנים האחרונות, נפגשנו לציין את מצוינותם של הסטודנטים הנבחרים בהנדסה ובמדעים מדויקים למלגות KLA. תוכנית המלגות של KLA כבר קנתה לה שם של תוכנית איכותית הממיינת את טובי תלמידי המאסטר והדוקטורט בפקולטות להנדסה ומדעים מדויקים. אוניברסיטת תל אביב גאה בקשריה המתפתחים עם התעשייה וללא ספק הקשרים עם KLA היו תמיד חלוציים ופורצי דרך. תלמידינו נהנים משותפה שהיא חברה עולמית מובילה שמוצריה נוגעים במגוון עצום של טכנולוגיות עמוקות ומהווים סטנדרט מצוינות בתעשייה העולמית. נברך את הזוכים על ההישג המרשים ונודה לחברת KLA על תרומתם לקידום המחקר באוניברסיטת תל אביב."

הסטודנטים.ות הציגו את מחקרם, ולאחר מכן כל באי האירוע נהנו מסיור מודרך ב"אנו – מוזיאון העם היהודי"

ברכות לזוכים ולזוכות במלגות לשנת תשפ"ד:

נושא מחקר

תואר

שם

תואר שלישי

Describing, Explaining, and Predicting the Electronic Properties of Exotic Metals and Other Solids.

ביה"ס לפיסיקה ולאסטרונומיה

בר אלון

Computational Methods Toward Recovering Molecular Structures Directly from Cryo-Electron Microscopy Micrographs

ביה"ס להנדסת חשמל

שי קרמר

Integrating MXenes, a Family of Promising Two-Dimensional Materials, into Next-Generation Microelectronics.

המחלקה למדע והנדסה של חומרים

בר פבלוקיס

Learning In-Hand Perception and Manipulation with Adaptive Robotic Hands

ביה"ס להנדסה מכנית

אושר אזולאי

Techno-Economic Optimization for Energy Management in Smart Grids

ביה"ס להנדסת חשמל

ארבל יניב

תואר שני מחקרי

Alternative Basis Matrix Multiplication is Fast and Stable

ביה"ס למדעי המחשב

גל ורניק

MXenes as an Energy-Efficient Super Adsorbent

המחלקה למדע והנדסה של חומרים

רוני שרם

Exploring How to Improve and Evaluate Visual-Language Models.

ביה"ס להנדסת חשמל

מורן ינוקא

Quantitative Phase Image Super-Resolution Using a Generative Adversarial Network

המחלקה להנדסה ביו רפואית

ליאור לוריא

Learning to eXplain Recommendations (LXR),a Post-hoc, Model-agnostic Framework for Counterfactual Explanations of Recommender Systems.

המחלקה להנדסת תעשייה

ליה גורביץ

 

ניתן לצפות בתמונות מהאירוע -בעמוד הפייסבוק של המרכז לקשרי התעשייה.

 

 

 

EE Systems Seminar: 6th August at 14:30: Video Polyp Segmentation using Implicit Networks | Aviad Dahan

06 באוגוסט 2024, 14:30 
אולם 011, בניין כיתות חשמל  
EE Systems Seminar:  6th August at 14:30:  Video Polyp Segmentation using Implicit Networks | Aviad Dahan

Electrical Engineering Systems Seminar

 

Speaker: Aviad Dahan

M.Sc. student under the supervision of Prof. Raja Giryes & Prof. Lior Wolf

 

Tuesday, 6th August 2024, at 14:30

Room 011, Kitot Building, Faculty of Engineering

 

Video Polyp Segmentation using Implicit Networks

Abstract

Polyp segmentation in endoscopic videos is an essential task in medical image and video analysis, requiring pixel-level accuracy to accurately identify and localize polyps within the video sequences. Addressing this task unveils the intricate interplay of dynamic changes in the video and the complexities involved in tracking polyps across frames.

Our research presents an innovative approach to effectively meet these challenges that integrates, at test time, a pre-trained image (2D) model with a new form of implicit representation. By leveraging the temporal understanding provided by implicit networks and enhancing it with optical flow-based temporal losses, we significantly enhance the precision and consistency of polyp segmentation across sequential frames.

Our proposed framework demonstrates excellent performance across various medical benchmarks and datasets, setting a new standard in video polyp segmentation with high spatial and temporal consistency.

This work has been accepted by and presented in the Medical Imaging with Deep Learning conference [MIDL '24].

 

השתתפות בסמינר תיתן קרדיט שמיעה = עפ"י רישום שם מלא + מספר ת.ז. בדף הנוכחות שיועבר באולם במהלך הסמינר

 

 

EE Systems Seminar: 5th August at 12:00 noon = Causal inference with misspecified network interference | Prof. Daniel Nevo (TAU)

05 באוגוסט 2024, 12:00 
חדר 011, בניין כיתות חשמל  
EE Systems Seminar: 5th August at 12:00 noon = Causal inference with misspecified network interference | Prof. Daniel Nevo (TAU)

(The talk will be given in English)

 

Speaker:     Prof. Daniel Nevo

                          Department of Statistics and Operations Research, Tel Aviv University 

 

011 hall, Electrical Engineering-Kitot Building‏

Monday, August 5th, 2024

12:00 - 13:00

 

Causal inference with misspecified network interference

Abstract

The typical approach towards drawing causal conclusions from observed data starts by defining a causal estimand, for example in terms of potential outcomes or the so-called do operator, and continues by providing conditions for identification of this estimand from the data, followed by statistical estimation and inference. One of the main assumptions is the no-interference assumption, meaning that the treatment assigned to one unit does not affect other units in the sample. However, in many domains such as in the social sciences and infectious disease epidemiology, this assumption is implausible in practice due to social interactions. 

 As an alternative to the no-interference assumption, an interference structure is often represented using a network. Ubiquitously, the network structure is assumed to be known and correctly specified. Nevertheless, correctly encoding the interference structure in a network can be challenging. For example, people may misreport their social connections, or report connections irrelevant to the specific combination of treatment and outcome.

Building on the exposure mapping framework, we derive the bias arising from estimating causal effects under a misspecified interference structure. To address this problem, we propose a novel estimator that uses multiple networks simultaneously and is unbiased if one of the networks correctly represents the interference structure, thus providing robustness to the network specification. Additionally, we propose a sensitivity analysis that quantifies the impact of a postulated misspecification mechanism on the causal estimates. Through simulation studies, we illustrate the bias from assuming an incorrect network and show the bias-variance tradeoff of our proposed network-misspecification-robust estimator. We further demonstrate the utility of our methods in two real examples.

Joint work with Bar Weinstein

Short Bio

Daniel Nevo is an Associate Professor at the Department of Statistics and Operations Research in Tel Aviv University. He received PhD in Statistics in 2016 from The Hebrew University, working on high-dimensional regression problems and biostatistical methods. Then he was a postdoc at Harvard Departments of Biostatistics and Epidemiology, before joining TAU in 2018. Daniel's research focuses on developing and implementing statistical methods in widespread domains, with emphasis on theory and methods for causal inference.

 

השתתפות בסמינר תיתן קרדיט שמיעה = עפ"י רישום שם מלא + מספר ת.ז. בטופס הנוכחות שיועבר באולם במהלך הסמינר

 

 

 

 

הכירו את התוכנית הנהדרת שנקראת ProWoman Organization, המקדמת נשים בתעשיית ההיי-טק.

 

הקבלה אל התוכנית כוללת סינון וראיונות והיא מוקדשת לסטודנטיות למקצועות טכנולוגיים בלבד (מדעים דיגיטליים להיי-טק, הנדסה, מדעי המחשב) בשיתוף חברות מובילות במשק.

מטרתה היא לתת כלים מעשיים כגון הרצאות וסדנאות של נשים בתפקידי מפתח בתעשיית ההיי-טק ואף יש דרך ליצור עם המרצות ומנחות הסדנה קשר לאחר מכן! במטרה לעזור לנשים צעירות וחריפות לפתוח דלתות וללכת אחרי החלומות שלהן.

 

נבחרו בקפידה 40 משתתפות מאוניברסיטת תל אביב, כאשר 9 מהן מתואר מדעים דיגיטליים להיי-טק - אופיר שלהבת, אלמוג אלפמון, דנה למדן, מאיה גורביץ, מיה רוזין, סופי מרגוליס, שובל ברזני, שירלי טוני גואטה ומנהלת סניף תל אביב עדי חורב.

 

בתואר שלנו, היושב תחת הפקוטלה להנדסה 51% רוב נשי, נתון חריג בנוף במיוחד ביחס לתארים אחרים בהנדסה ומדויקים ואנחנו גאות בכל המשתתפות שלנו שנבחרו בקפידה ובטוחות שיפיקו את המיטב מהתוכנית.

נמשיך לעדכן ולפרסם על אירועים שנכחו המשתתפות שלנו וכמובן עקבו אחרי ProWoman Organization והיכנסו לאתר לפרטים על הרשמה ומחזורים נוספים.

 

בתמונה - מפגש שנערך עם חברת NVIDIA, שאיפשר שאילות שאלות פתוחה, שיח על הזדמנויות ואתגרים וכמובן חשיפה לתפקידים שונים בתעשייה.

סמינר מחלקה של אושר אזולאי - לימוד תפיסה ומניפולציה ביד עם ידיים רובוטיות מסתגלות

07 באוגוסט 2024, 14:00 - 15:00 
פקולטה להנדסה  
0
סמינר מחלקה של אושר אזולאי - לימוד תפיסה ומניפולציה ביד עם ידיים רובוטיות מסתגלות

School of Mechanical Engineering Seminar
Wednesday, August 7, 2024 at 14:00
Wolfson Building of Mechanical Engineering, Room 206

Learning In-Hand Perception and Manipulation with Adaptive Robotic Hands

Osher Azulay

Advisor: Dr. Avishai Sintov

Robots require efficient interaction with a large variety of objects in different environments, from industrial applications to domestic tasks. The interaction involves grasping and dexterous manipulation of objects to complete various tasks. Whereas the ability to manipulate an object within the hand is a fundamental task for humans, it remains challenging for robots. To cope with the diversity of objects and hand manipulation tasks in the real world, robots need to understand their environment and quickly infer the physical properties of objects.

Despite the impressive accuracy of industrial robotic hands, their complexity, fragility, high cost, and control challenges remain significant obstacles. Yet, the development of affordable, robust, and adaptable robot hardware has created opportunities to dramatically enhance robot autonomy. However, a major challenge for this new hardware is coping with the constant variability and uncertainty of real-world environments. Recently, underactuated hands, which are simpler and more flexible, have emerged as a promising alternative. Nevertheless, they present modeling difficulties due to their inherent uncertainties.

This research aims to advance robot manipulation skills using adaptive, underactuated hands and advanced learning algorithms. We have addressed several key aspects necessary for their efficient perception and adaptability: developing tactile fingers to establish the touch modality, optimizing the synergy between perception and action, and creating the algorithmic foundation for planning and control. Initially, we utilized haptic sensing for precise object pose estimation and manipulation, addressing visual feedback limitations in occluded environments. Subsequently, we developed the concept of haptic glances and applied reinforcement learning to achieve high accuracy in insertion tasks under spatial uncertainties. To further enhance perception, we introduced AllSight, a 3D-printed tactile sensor designed for robotic in-hand manipulation. AllSight offers high-resolution contact state estimation, including position, forces, and torsion, and demonstrates zero-shot learning capabilities, making it a low-cost and effective solution for advanced robotic manipulation tasks. Additionally, we proposed SightGAN, a bi-directional GAN that generates real-like synthetic images from simulated data, bridging the sim-to-real gap and improving model training for robotic tasks.

 

Figure 1: Three AllSight sensors on the fingers of an adaptive robotic hand. The sensors provide real-time tactile images for contact state estimations during the manipulation of an object.

 

 

Our current focus is on integrating these advancements into learnable tactile-based policies to enable robots to better understand external contacts and adapt to different  tasks. By tightly coupling perception and action, we wish to allow the hand, despite its compliant nature, to perform complex tasks through self-supervision with minimal human effort and rapid adaptation to new situations. This research lays the algorithmic foundation for robot sensing, applicable to various robotic systems to overcome uncertainties, making high-capability robots more accessible.

EE Seminar: Problems in Information Theory and High Dimensional Statistics | Shahar Stein Ioushua

04 באוגוסט 2024, 15:00 
Room 011, Kitot Building, Faculty of Engineering  
EE Seminar: Problems in Information Theory and High Dimensional Statistics | Shahar Stein Ioushua

Electrical Engineering Systems Seminar

 

Speaker: Shahar Stein Ioushua

Ph.D. student under the supervision of Prof. Ofer Shayevitz

 

Sunday, 4th August 2024, at 15:00

Room 011, Kitot Building, Faculty of Engineering

 

Problems in Information Theory and High Dimensional Statistics

 

Abstract

We study problems in information theory and statistics where high-dimension plays a key role. Often in such problems, the near-asymptotic setting enables the use of mathematical tools that are not applicable in low-dimension.

First, we study the problem of counting the number of graphs with a given subgraph distribution.

Le G be a large (simple, unlabeled) dense graph on n vertices. Suppose that we only know, or can estimate, the empirical distribution of the number of subgraphs F that each vertex in G participates in, for some fixed small graph F. How many other graphs would look essentially the same to us, i.e., would have a similar local structure? We derive upper and lower bounds on the number of graphs whose empirical distribution lies close (in the Kolmogorov-Smirnov distance) to that of G. Our bounds are given as solutions to a maximum entropy problem on random graphs of a fixed size k that does not depend on n, under global density constraints.

Next, we study the benefits of batch learning in the overparameterized linear regression setting. Learning algorithms that divide the data into batches are prevalent in many machine-learning applications, typically offering useful trade-offs between computational efficiency and performance. Here, we examine the benefits of batch-partitioning through the lens of a minimum-norm overparameterized linear regression model with isotropic Gaussian features. We suggest a natural small-batch version of the minimum-norm estimator, and derive an upper bound on its quadratic risk, showing it is inversely proportional to the noise level as well as to the overparameterization ratio, for the optimal choice of batch size. In contrast to minimum-norm, our estimator admits a stable risk behavior that is monotonically increasing in the overparameterization ratio, eliminating both the blowup at the interpolation point and the double-descent phenomenon. Interestingly, we observe that this implicit regularization offered by the batch partition is partially explained by feature overlap between the batches. Our bound is derived via a novel combination of techniques, in particular normal approximation in the Wasserstein metric of noisy projections over random subspaces.

 

השתתפות בסמינר תיתן קרדיט שמיעה = עפ"י רישום שם מלא + מספר ת.ז. בדף הנוכחות שיועבר באולם במהלך הסמינר

 

 

 

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