Advanced Communications Center Annual Workshop & Feder Family Award Ceremony

15 בפברואר 2022, 9:15 
 
Advanced Communications Center Annual Workshop & Feder Family Award Ceremony

The Annual ACC Workshop

The Advanced Communication Center 

School of Electrical Engineering

Tel Aviv University

 Tuesday, February 15th, 2022

The Advanced Communications Center at the School of Electrical Engineering of Tel-Aviv University is happy to announce its annual event 

in which recent advances in Communications and related fields will be reviewed by leading scientists

Attached please find a detailed schedule

The workshop is free of charge, but advance registration is required

Please register here

  The workshop will be virtual and held over Zoom

For security reasons, a Zoom link will be directly emailed to registered participants a day before the workshop

Program

 

סמינר מחלקה של תירוש מקלר - מודל נומרי של השפעת נקבוביות מרחבית ואסימטריה על זרימת הדם האימהי ומעבר חמצן בשליה

08 ביוני 2022, 14:00 - 15:00 
פקולטה להנדסה  
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סמינר מחלקה של תירוש מקלר - מודל נומרי של השפעת נקבוביות מרחבית ואסימטריה על זרימת הדם האימהי ומעבר חמצן בשליה

SCHOOL OF MECHANICAL ENGINEERING SEMINAR

Wednesday, June 1, 2022 at 14:30

Wolfson Building of Mechanical Engineering, Room 206

Numerical Modelling of Spatial Porosity and Asymmetry Impact on Maternal Blood Flow and Oxygen Transport in the Placenta

 

Tirosh Mekler

M.Sc. student of Gil Marom

 

 

The human placenta is a complex organ whose function is not fully understood because clinical studies are restricted by ethical constraints, limited imaging resolution, and availability of the organ. A computational fluid dynamics model of maternal hemodynamics and oxygenation patterns is proposed to better understand the complexity of placenta biomechanics. The objectives of this study are to find how morphological variations in the fetal villi density and in the number and locations of the decidual veins (DVs) affect the hemodynamics and oxygenation. A commonly used approach for numerically simulating the maternal blood flow inside the intervillous space is to model the flow that percolates through the villi branches as a flow through a porous medium. Unlike previous studies that assumed homogeneous porosity, the main structure of the villous tree was included in the current model, and the porosity was spatially distributed. The oxygen uptake inside the placenta was compared for different porosity values. Additionally, various morphologies with different asymmetries were examined, such as different locations and the number of DVs. The internal structure has a significant impact on the flow field and oxygen uptake, as demonstrated by a comparison of several cases with equal volumetric porosity but different spatial distributions of local porosity. The location of DVs and their asymmetric distribution also have a major effect on the oxygen distribution. Specifically, if there are two DVs close to each other or several DVs that contribute to the short circuit effect of the maternal blood. Computational modeling is proving to be a valuable tool for investigating the flow mechanics and mass transport in the human placenta. The oxygenation efficiency of the materno-placental circulation is undoubtedly affected by morphological changesJoin

 Zoom Meeting https://us02web.zoom.us/j/82108132163?pwd=Z2h4UzNzUS9mbXplT0lMU1pZenFEQT09

 

 

Verification Flower

Pre requisites:

  • An excellent graduate from an engineering domain, with 85+ GPA
  • At least one coding course completion with a grade above 85

Unreal / Unity Engine Student

Requirements

  • BSc / MSc in CS / EE / Physics or related fields
  • Experience in Unreal and (optionally) Unity graphics game engines
  • Experience with C++, Python, Linux
  • Capability of rapid prototyping

Advantages

  • Experience in photography
  • Experience / curiosity in Computer Vision and Image Processing
  • Experience / curiosity in Machine Learning and Artificial Intelligence

 

What will you do?

Senior Applied AI Researcher

Requirements

  • STEM Ph.D. with research focused on the field of machine/deep learning or equivalent practical experience.
  • Proven track record of successfully concluding high-quality AI research from inception to successful publication in leading journals and conferences or deployment of production grade ML systems.
  • A team player with a passion for working on extremely difficult technical problems while collaborating with colleagues and motivating your peers.

 

Advantage

Firmware Engineer-3457

  • Excellent interpersonal skills and team player
  •  B.Sc. in Computer Science or Software / Computer / Electrical Engineering
  • 0-1 years of experience in RT / embedded systems
  • 0-1 years of experience in C development
  • Previous RTOS experience – advantage (e.g. ThreadX / MQX / Nucleus / VxWorks / Embedded Linux)
  • Outstanding graduates are welcome to apply!

עמודים

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