סמינר מחלקתי של קמילה סמרטינו- זרימת נוזלים כיוונית ספונטנית במבנים טופולוגיים בהשראת ביו

02 בדצמבר 2024, 14:00 - 15:00 
 
סמינר מחלקתי של קמילה סמרטינו- זרימת נוזלים כיוונית ספונטנית במבנים טופולוגיים בהשראת ביו

Spontaneous Directional Liquid Flow in Bio-Inspired Topological Structures

Monday November 18th at 14:00 

Wolfson Building of Mechanical Engineering, Room 206

 

abstract:

In nature, several organisms possess the extraordinary ability to guide liquids to specific places spontaneously. Trees, cactus spines, spider silk, desert lizard scales, and fleas are just some fascinating examples. Surfaces geometries combined with surface chemistries that promote directional liquid flow gained the term “liquid diodes”. Applications of such liquid diodes range from microfluidics and electronics to biomedicine and sensing. However, an in-depth understanding of how liquids spread and flow in complex networks of such liquid diodes still lacks.

In this work, the functionality, performance, and applications of liquid diodes inspired by the spermatheca organ found in female fleas were studied. High resolution 3D printing was used to design complex geometries and elucidate how liquid propagates in 2D networks made of liquid diodes. This includes flexible liquid diodes in which liquid flow can be mechanically actuated.

Finally, additional work on spontaneous unidirectional flow in asymmetric hollow structures and 3D meshes is presented. Drawbacks and future steps are discussed.

This research work highlights the emerging potential of liquid diodes as versatile tools for manipulating and modelling liquid flow in both technical and biological systems. Furthermore, it offers new opportunities in applications such as lab-on-a-chip devices, sensing, wearable electronics, and space aviation where fine control over fluid dynamics is crucial.

 

bio:

Camilla, originally from Milan, Italy, graduated in Physics in 2017 from Università degli Studi di Milano and moved to Israel the following year for her Master's degree in Materials Science and Engineering. During her MSc, she worked on metal laser-assisted 3D printing under the supervision of Prof. Noam Eliaz and in collaboration with Orbotech (now part of KLA). After graduating in 2021, she started her Ph.D in Dr. Bat-El Pinchasik's group, Biomimetic Mechanical Systems and Interfaces. She works on spontaneous directional liquid transport on bioinspired topological surfaces. 

 

סמינר מחלקתי של דנה סולב- התקני הליכה מסייעים ספציפיים למטופל: עיצוב וניתוח מבוססי נתונים

25 בנובמבר 2024, 14:00 - 15:00 
 
סמינר מחלקתי של דנה סולב- התקני הליכה מסייעים ספציפיים למטופל: עיצוב וניתוח מבוססי נתונים

 

Patient-Specific Weight-Bearing Assistive Gait Devices: Data-Driven Design and Analysis

Monday November 25th at 14:00 

Wolfson Building of Mechanical Engineering, Room 206

Abstract:

Various weight-bearing assistive gait devices, such as lower-limb prosthetics and orthotics, require a tailored patient-specific design. This is crucial for ensuring proper mechanical interaction with soft tissues and facilitating functionality. However, the conventional methods for custom design are largely artisanal, non-standard, and insufficiently data-driven. Therefore, there is a clear need for computational design frameworks that are automatic, repeatable, data-driven, and based on scientific rationale. These frameworks typically utilize imaging techniques, sensors, and numerical simulations such as finite element analysis (FEA), to drive patient-specific design.

This talk will cover two research projects aimed at advancing the development of these frameworks. The first project concerns the development of a new type of ankle-foot orthosis (AFO) for walking with adjustable ankle-foot offloading. This AFO aims to facilitate a symmetric and natural gait pattern while precisely adjusting the amount of load transferred to the injured foot and ankle during gait. It incorporates a patient-specific load-bearing shank brace, and ground contact plates based on a statistical analysis of ankle-foot roll-over shape. The second project focuses on estimating the material parameters of soft tissues used in FEA simulations for design algorithms. Accurate constitutive modelling and parameter estimation are crucial for reliable FEA results. However, it is challenging to identify these parameters in vivo, and uncertainties can propagate into the simulated results. We will discuss methods to improve the identifiability of material parameters that capture the complex mechanical responses of soft tissues, using multi-modal indentation tests.

 

 

 

Bio:

Dr. Solav holds a BSc in Geophysics from Tel-Aviv University (2006) and a PhD in Mechanical Engineering from the Technion - Israel Institute of Technology (2016). In 2017 she joined the MIT Media Lab’s Biomechatronics group as a postdoc, where she became a research scientist (2019) to lead the group’s computational biomechanics research track. In 2020, Dr. Solav joined the Technion’s Faculty of Mechanical Engineering as an Assistant Professor, where she currently directs the Biomechanical Interfaces Group. Her research focuses on the biomechanical interface between the human body and biomedical devices such as prosthetics and orthotics, with an emphasis on developing and optimizing patient-specific devices that improve patient comfort, health, and function. To achieve this, Dr. Solav’s group analyzes the biomechanical factors that affect human movement and function, develops new imaging and measurement tools, and combines them with advanced computational algorithms, experimental procedures, and fabrication methods.

סמינר מחלקתי של יואב לחיני- ביקורתיות המפולת מניעה את ההזדקנות הפיזית של חומר מופרע: מסדינים מקומטים ועד רעידות משנה סיסמיות

18 בנובמבר 2024, 14:00 - 15:00 
בית ספר להנדסה מכנית  
סמינר מחלקתי של יואב לחיני- ביקורתיות המפולת מניעה את ההזדקנות הפיזית של חומר מופרע: מסדינים מקומטים ועד רעידות משנה סיסמיות

 

Avalanche Criticality Drives the Physical Aging of Disordered Matter:

from Crumpled Sheets to Seismic Aftershocks

Monday November 18th at 14:00 

Wolfson Building of Mechanical Engineering, Room 206

Abstract:

Many complex and disordered systems fail to reach equilibrium after they have been quenched or perturbed. Instead, they sluggishly relax toward equilibrium at an ever-slowing, history dependent rate, a process termed physical aging. The microscopic processes underlying the dynamic slowdown during aging and the reason for its similar occurrence in different systems remain poorly understood.

Combining experiments on crumpled sheets and simulations of a disordered network of interacting elastic instabilities, we reveal the structural mechanism underlying logarithmic aging in these systems. We find that under constant external loading, the system self-organizes to a marginally stable state, where it can remain for long, but finite, times. The system’s slow relaxation is intermittent, and advances via self-similar, slow avalanches of localized, micro-mechanical instabilities.

These avalanches are thermal – they span many timescales and are driven by facilitation and noise. The avalanches’ size and the inter-instability times are power-law distributed and exhibit a unique property – the distributions maintain their scaling exponents throughout the ageing process, but their cut-offs grow in time. Crucially, the quiescent dwell times between avalanches grow in proportion to the system’s age, which leads to the observed dynamic slow-down and logarithmic aging. We link this effect to a slow increase of the lowest local energy barriers, which we find govern the initiation of avalanches.

Applying our analysis to the temporal dynamics of seismic aftershocks reveals strikingly similar results, suggesting that a similar physical mechanism underlies aftershock dynamics and the celebrated phenomenology of Omori’s law.

 

 

:Bio

Yoav Lahini earned a B.Sc. in physics from the Hebrew University, and an M.Sc. and PhD in Physics from the Weizmann Institute, working on nonlinear and quantum optics in disordered media. He then spent three years at MIT as a Pappalardo postdoctoral fellow and two additional years at Harvard as a research associate, working on the far-from-equilibrium dynamics of complex and disordered systems. In 2017 Yoav opened the Soft and Complex Matter Lab in the school of Physics at Tel Aviv university.

 

EE Seminar: Undetectable Watermarks for Language Models

18 בנובמבר 2024, 12:00 
אולם 011  
EE Seminar: Undetectable Watermarks for Language Models

(The talk will be given in English)

 

Speaker:     Dr. Or Zamir

                             School of Computer Science, Tel Aviv University 

 

011 hall, Electrical Engineering-Kitot Building‏

Monday, November 18th, 2024

12:00 - 13:00

 

Undetectable Watermarks for Language Models

 

Abstract

Recent advances in the capabilities of large language models such as GPT-4 have spurred increasing concern about our ability to detect AI-generated text. Prior works have suggested methods of embedding watermarks in model outputs, by noticeably altering the output distribution. We ask: Is it possible to introduce a watermark without incurring any detectable change to the output distribution?

To this end we introduce a cryptographically-inspired notion of undetectable watermarks for language models. That is, watermarks can be detected only with the knowledge of a secret key; without the secret key, it is computationally intractable to distinguish watermarked outputs from those of the original model. In particular, it is impossible for a user to observe any degradation in the quality of the text. Crucially, watermarks should remain undetectable even when the user is allowed to adaptively query the model with arbitrarily chosen prompts. We construct undetectable watermarks based on the existence of one-way functions, a standard assumption in cryptography.

We will also cover subsequent generalizations to steganography, and robust versions.

 Short Bio

Or Zamir is an assistant professor at the school of computer science in Tel Aviv University. Prior to that, he did his postdoc at the Institute for Advanced Study and Princeton University. His research interests include algorithms, data structures, and theoretical computer science. 

 

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

 

 

 

Physical Electronics Seminar : Building blocks for nanoscale magnetic resonance imaging

סמינר שמיעה לתלמידי תואר שני ושלישי

14 בנובמבר 2024, 11:00 
Room 011 Kitot Building  
  Physical Electronics Seminar : Building blocks for nanoscale magnetic resonance imaging

 

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

 

 

EE Seminar: HydroNeRF: NeRF for Scenes with Air and Water

13 בנובמבר 2024, 15:30 
אולם 011  
EE Seminar: HydroNeRF: NeRF for Scenes with Air and Water

Electrical Engineering Systems Seminar

 

Speaker: Osher Stamker

M.Sc. student under the supervision of Prof. Shai Avidan & Prof. Alex Liberzon

 

Wednesday, 13th November 2024, at 15:30

Room 011, Kitot Building, Faculty of Engineering

HydroNeRF: NeRF for Scenes with Air and Water

 

Abstract

Neural Radiance Fields (NeRF) revolutionized the field of view synthesis by providing high-quality, photorealistic novel views from unstructured image collections. As a side benefit, it is possible to measure geometric properties in the scene (such as distances between 3D points) based on a depth map that is extracted from NeRF.

However, NeRF models struggle with complex light interactions, such as reflections and refractions, often resulting in inaccurate renderings. Going beyond view synthesis, accurate 3D measurements of objects submerged in liquid is also important for fluid mechanics.

In this work, we introduce HydroNeRF, an enhanced NeRF framework designed to accurately model light refraction and handle reflective scenes. Our approach leverages Snell's law to model the bending of light rays as they transition between different media (air, glass, water), and integrates a Deformation Network to render the scene.

We collected a dataset of challenging scenes that contain objects submerged in water tanks and show that HydroNeRF can be used to measure distances between 3D points more accurately than NeRF.

 

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

 

 

 

 

EE Seminar: Is There a Needle in the Haystack

13 בנובמבר 2024, 15:00 
אולם 011  
EE Seminar: Is There a Needle in the Haystack

Electrical Engineering Systems Seminar

 

Speaker: Shoval Mishal

M.Sc. student under the supervision of Prof. Shai Avidan

 

Wednesday, 13th November 2024, at 15:00

Room 011, Kitot Building, Faculty of Engineering

Is There a Needle in the Haystack?

Abstract

We are interested in detecting the existence of novel object classes in aerial images, without specifying these novel classes ahead of time.

In our setting, we are equipped with a detector capable of detecting a closed set of objects (e.g., vehicles, planes) but wish to determine if other, unspecified, object classes, that are of interest (say, ships), appear in the images as well. This open vocabulary problem poses two challenges. The first is scale, as there are tens of millions of patches to evaluate. The second is vagueness. How do you determine whether a given patch contains a semantically meaningful object of interest or just an interesting background pattern?

To address these challenges, we propose a funnel approach that gradually reduces the number of patches of interest from tens of millions to a short list of few tens of thousands. The patches in the short list are ranked automatically and shown to a human operator. We therefore measure performance by ``Time-To-1st(TT-1), i.e. the time it takes a human to find the first instance of interesting new classes in aerial images, and show we are capable of producing such a sample within the first few patches. Our code will be made publicly available.

 

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

 

 

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