טקס חלוקת התארים לבוגרי.ות ומוסמכי.ות ביה"ס להנדסת חשמל יתקיים ב-16.6.2025

 

טקס חלוקת התארים לבוגרי.ות ומוסמכי.ות ביה"ס להנדסה מכנית, התוכנית להנדסת סביבה, התוכנית להנדסת מערכות, והמחלקות להנדסת תעשייה, הנדסה ביו רפואית ומדע והנדסה של חומרים יתקיים ב-17.6.2025

 

על מנת להיכלל ברשימת מקבלי ומקבלות התעודות בטקסים אלו יש לסיים את כל החובות לתואר  ולפתוח טופס סיום לימודים לא יאוחר מה-10.3.2025.

לא תהיה אפשרות להיכלל ברשימת המסיימים למי שיסיים לאחר מועד זה

ד"ר איתי ספקטור :Advanced Histology, Cytology and Machine learning based Quantitative Image Analysis in Pre-clinical Research

סמינר פרונטלי לתלמידי תואר שני ושלישי

19 בינואר 2025, 14:00 
אוניברסיטת תל אביב  
 ד"ר איתי ספקטור :Advanced Histology, Cytology and Machine learning based Quantitative Image Analysis in Pre-clinical Research

:Abstract

Histology and Cytology play a critical role in biomedical research by enabling the detection and analysis of tissue and cell- Morphology, abnormalities, protein and RNA expression and treatments effects. Over the past decade, significant advancements have transformed this field, including the development of synthetic biomarkers and new methods that enable the use of multiple fluorescence-labeled antibodies and RNA probes on single sample section. Additionally, innovations in confocal microscopy and high-resolution slides scanning microscopes have greatly improved imaging capabilities. The emergence of Machine learning based Quantitative Image Analysis- that enables precise analysis of histology and cytology large datasets (i.e. cell populations, distances between cell populations, expression level in each cell population), patterns recognition (i.e. blood vessels populations detection and analysis, neuronal and collagen fibers parameters analysis etc.).
Together- these advancements in Histology and cytology, microscopy and image analysis- enable researchers to extract high quantity of data from each sample section, enabling accurate quantitative evaluation of basic research data and treatments effects.
In this seminar, I will present the main Histology, Cytology and Machine learning based Quantitative Image Analysis (HCA) methodologies and innovations in relevant research fields, providing examples in different cells, tissues and animal models. This will equip researchers with a better understanding of .how to apply these cutting-edge HCA techniques to their own .studies 

מר אבירם סושרד מנכ"ל פיליפס ישראל AI and the future of medicine

22 בדצמבר 2024, 14:00 
אוניברסיטת תל אביב  
 מר אבירם סושרד מנכ"ל פיליפס ישראל AI and the future of medicine

 AI and the future of medicine

Physical Electronics Seminar :Liquid light in synthetic lattices for frequency comb generation

סמינר שמיעה לתלמידי תואר שני ושלישי

17 בדצמבר 2024, 13:30 
Room 011 Kitot Building  
Physical Electronics Seminar :Liquid light in synthetic lattices for frequency comb generation

 

  -סמינר זה יחשב כסמינר שמיעה לתלמידי תואר שני ושלישי-  This Seminar Is Considered A Hearing Seminar For Msc/Phd Students

 

סמינר מחלקתי של סברינה קלנקו- השפעות של גלים פנימיים וזרמים במחזור על ריבוד בבריכה

10 בפברואר 2025, 14:00 - 15:00 
 
סמינר מחלקתי של סברינה קלנקו- השפעות של גלים פנימיים וזרמים במחזור על ריבוד בבריכה

Effects of internal waves and circulating currents on stratification in a pool

Monday February 10th 2025 at 14:00 

Wolfson Building of Mechanical Engineering, Room 206 

Abstract:

This study explores internal resonant standing gravity waves within a rectangular basin. This study was motivated by observation of such waves in the cooling reservoir of an open-pool-type nuclear reactor. In that system, stratification results from addition of a hot water layer at the upper part of the pool, Geva et al. (2021) reported on self-excitation of standing internal waves within the thermocline between the layers with high and low temperatures.

The research focuses on characterizing the resonant oscillation modes of the system using theoretical models. Experiments were carried out in a narrow rectangular basin that allow 2D approach; surface and/or internal waves were excited by a computer-controlled oscillating cylinder. The density control was attained by adding salt (MgCl2) to water resulting in a mixed layer with a density gradient (pycnocline). Measurements based on video shadowgraphy were conducted to reveal the fundamental characteristics of both surface and internal waves in a closed basin, followed by more detailed investigations into the wave structure using simultaneous Particle Image Velocimetry (PIV) and Background Oriented Schlieren (BOS) techniques. The accumulated extensive quantitative experimental data enable the characterization of the resonant conditions, and allow identification of diverse spatial and temporal wave modes generated by both linear and nonlinear mechanisms. The results show good agreement with theoretical models.

 

Bio:

Sabrina Kalenko earned her B.Sc. and M.Sc. degrees from the School of Mechanical Engineering at Tel Aviv University. During her M.Sc. studies, she focused on the turbulence interaction of high Stokes number irregularly shaped particles in the accelerating flow of a rocket-engine model, under the supervision of Prof. Alex Liberzon. After completing her M.Sc. degree, she joined the Soreq Nuclear Research Center as a Ph.D. student at Tel Aviv University, under the supervision by Prof. Lev Shemer and Dr. Efi Zemach.

 

 

 

 

 

סמינר מחלקתי של ארנסט אוזנסקי- בעיות ישירות והפוכות באקוסטיקה באוקיינוס: התפשטות, עיבוד מבוסס פיזיקה ויישומים

03 בפברואר 2025, 14:00 - 15:00 
 
סמינר מחלקתי של ארנסט אוזנסקי- בעיות ישירות והפוכות באקוסטיקה באוקיינוס: התפשטות, עיבוד מבוסס פיזיקה ויישומים

Direct and Inverse Problems in Ocean Acoustics: Propagation, Physics-Based Processing and Applications

Monday February 3th 2025 at 14:00 

Wolfson Building of Mechanical Engineering, Room 206 

 

Abstract:

The undersea world presents a fascinating yet challenging environment for sensing, with acoustics serving as the primary tool due to the limited propagation of electromagnetic waves in seawater. Sound, however, can travel vast distances underwater, sometimes propagating thousands of kilometers under specific conditions. Yet, the ocean’s highly inhomogeneous nature, characterized by strong spatial and temporal variability, creates a highly complex acoustic environment, posing significant challenges for both direct and inverse problems in ocean acoustics.

This seminar explores these challenges by addressing one direct and one inverse problem, each in drastically different acoustic environments. First, we investigate how internal Kelvin gravity waves impact sound propagation in shallow water. Through analysis of experimental data from Lake Kinneret and advanced sound propagation modeling, we demonstrate that internal Kelvin waves can cause a significant, fourfold decrease in sound intensity over a 5-km acoustic track — an important consideration for underwater communication and defense applications.

The second part of the seminar moves to the Challenger Deep, the Earth’s deepest point, where we employ a synthetic aperture autonomous recording system to address an inverse problem. Here, we demonstrate how wind-driven ambient noise can be leveraged to infer ocean acidity — a critical concern due to its impact on marine ecosystems. By analyzing the depth-dependent attenuation of sound and applying the principles of passive absorption spectroscopy, we showcase a novel method for estimating the volumeintegrated pH of seawater

 

Bio:

Ernst began his academic journey studying Nuclear Physics and Technology in Russia before making Aliyah and pursuing his Master’s and PhD studies in Underwater Acoustics in Haifa University under the supervision of Prof. Boris Katsnelson, graduating with honors. His research involved extensive experimental work in Lake Kinneret and Mediterranean Sea, focusing on sound propagation in shallow and deep water affected by spatial and temporal inhomogeneities. At the latest stage of his PhD, Ernst received the prestigious Batsheva de Rothschild scientific grant and served as a Visiting Researcher at the Naval Postgraduate School, where he studied single-element time-reversal mirrors.

He later transitioned to nonlinear acoustics, conducting postdoctoral research on parametric acoustic and receiving arrays at the Technion’s Department of Mechanical Engineering under supervision of Prof. Izhak Bucher. Following this, Ernst undertook another postdoctoral position at Dalhousie University in Canada, developing deep-ocean noise spectroscopy methods using data from an autonomous synthetic aperture ocean profiler under the supervision of Dr. David Barclay.

Currently, Ernst is conducting postdoctoral research at the Naval Postgraduate School in the United States under supervision of Prof. Oleg Godin, supported by a grant from the National Academy of Sciences. He is actively involved in the New England Seamounts Acoustic Experiment, investigating acoustic propagation and associated diffraction and refraction effects around prominent bathymetric features.

Ernst is a member of the Acoustical Society of America and its Technical Committee on Acoustical Oceanography. He has chaired sessions at Acoustical Society of America meetings and serves as a reviewer for leading journals, including the Journal of the Acoustical Society of America, Applied Acoustics and the Journal of Sound and Vibration and.

 

יום פתוח לתואר ראשון באוניברסיטת תל אביב

יום חמישי | 6.2.25 | 12:00-18:00

06 בפברואר 2025, 12:00 
 
יום פתוח לתואר ראשון באוניברסיטת תל אביב

LMI Seminar: The speaker Prof. Adi Salomon, Department of Chemistry, BINA nano-center for advanced materials and nanotechnology, BIU.

18 בדצמבר 2024, 13:00 
הפקולטה להנדסה אוניברסיטת תל אביב, בנין כיתות ,אולם 011  
LMI Seminar: The speaker Prof. Adi Salomon, Department of Chemistry,  BINA nano-center for advanced materials and nanotechnology, BIU.

 

EE SEminar: ICC: Quantifying Image Caption Concreteness for Multimodal Dataset Curation

11 בדצמבר 2024, 15:00 
אולם 011, בניין כיתות חשמל  
EE SEminar: ICC: Quantifying Image Caption Concreteness for Multimodal Dataset Curation

Electrical Engineering Systems Seminar

 

Speaker: Moran Yanuka

M.Sc. student under the supervision of Prof. Raja Giryes

 

Wednesday, 11th December 2024, at 15:00

Room 011, Kitot Building, Faculty of Engineering

 

 

ICC: Quantifying Image Caption Concreteness for Multimodal Dataset Curation

 

Abstract

Web-scale training on paired text-image data is becoming increasingly central to multimodal learning, but is challenged by the highly noisy nature of datasets in the wild. Standard data filtering approaches succeed in removing mismatched text-image pairs, but permit semantically related but highly abstract or subjective text. These approaches lack the fine-grained ability to isolate the most concrete samples that provide the strongest signal for learning in a noisy dataset. In this work, we propose a new metric, ICC, that evaluates caption text without an image reference to measure its concreteness and relevancy for use in multimodal learning. Our unsupervised approach leverages strong foundation models for measuring visual-semantic information loss in multimodal representations. We demonstrate that this strongly correlates with human evaluation of concreteness in both single-word and caption-level texts. Moreover, we show that curation using ICC complements existing approaches: It succeeds in selecting the highest quality samples from multimodal web-scale datasets to allow for efficient training in resource-constrained settings.

 

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

 

 

 

 

 

סטודנט.ית רכש

 

השכלה:
סטודנטי.ת  לתואר ראשון או שני בעדיפות לתעשיה וניהול, מכונות, מנהל עסקים
בעל.ת יתרת לימודים של שנתיים 

עמודים

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