סמינר של בית הספר להנדסת חשמל - עם מוסטפא בשארה

31 בינואר 2022, 15:00 
 
סמינר של בית הספר להנדסת חשמל - עם מוסטפא בשארה

https://zoom.us/j/99639199094?pwd=MktVS3E5eUZldkxtd0p6VmY4ckYvQT09

Meeting ID:   996 3919 9094

Passcode:       0XpN1w

 

 

Electrical Engineering Systems Seminar

                                                                                                                                             

Speaker: Mustafa Bshara

M.Sc. student under the supervision of Dr. Hedva Spitzer

 

Monday, January 31st, 2022, at 15:00

Automatic Segmentation of Rotator Cuff Tears by Models to Visual System Mechanisms  
Abstract

The need for segmentation rotator cuff tears (RCT), a common injury that cause pain and disability, is crucial for the type of treatment, surgical or non-surgical treatment. Automatic segmentation of ultrasonographic tendinopathy cases is challenging due to non-homogenous RCT in its shape, size and location. Only two studies have coped with this challenge by applying by artificial neural networks or semi-automatic segmentation by active contour, which includes level-set techniques. We further developed the MICO segmentation model, which is based on fuzzy c-mean algorithm and level-set framework, but we use unique features, which enable us to identify the tendon and the RCT according to three characteristic properties. These properties are multi scale texture, structure enhancement (through line completion), and referring to the spatial location. The inspiration first two features came from visual system mechanisms.

We performed a feedback process with the radiologist delineations and the algorithm segmentation and its derived corrections. The final model segmentation and radiologist feedback have been compared and verified by several metrics (accuracy: 96.56%, Dice: 87.92%, Recall: 94.71% and Precision: 92.45), while the neural network study showed Dice: 74%. Our Segmentation by Adaptive Lateral-Interactions and Multi-Scale Texture (SALMT) model enables clinical testing of automatic segmentation of RCT and automatic evaluation of the different tendinopathy severity levels.

השתתפות בסמינר תיתן קרדיט שמיעה = עפ"י רישום שם מלא + מספר ת.ז.  בצ'ט

 

 

 

אודות המעבדה:

אינטרקציה מכנית של תאים עם הסביבה שלהם (חומר סיבי), בדגש על חומר עם תכונות אלסטיות לא לינאריות. שימוש בביו-חומרים לגידול תאים בתלת מימד, מיקרוסקופיית אור תלת מימדית, אנליזת תמונה למדידת עיבורי החומר וכימות הכוחות שהתאים מפעילים. מידול באלמנטים סופיים של אינטראקציה תא-סביבה.

אודות המעבדה:

אנרגיה מתחדשת, אגירת אנרגיה, אנרגית שמש, המרה תרמית, המרה פוטוולטאית, המרה תרמיונית, קוגנרציה, ייצור דלקים חליפיים, מעבר חום

אודות המעבדה:

School of EE Seminar- Yosef Kashi- Visual-System Inspired Algorithm for Enhanced Visibility in Coronary Angiograms

02 בפברואר 2022, 15:00 
 
School of EE Seminar- Yosef Kashi- Visual-System Inspired Algorithm for Enhanced Visibility in Coronary Angiograms

https://us02web.zoom.us/j/86813756849?pwd=SEdJUE84VkhITTNJakdSZUJEKzNpdz09
Meeting ID:   868 1375 6849
Passcode:       c2nkDw

Electrical Engineering Systems Seminar

                                                                                                                                             

Speaker: Yosef Kashi

M.Sc. student under the supervision of Dr. Hedva Spitzer

 

Wednesday, February 2nd, 2022, at 15:00

 

Visual-System Inspired Algorithm for Enhanced Visibility in Coronary Angiograms

Abstract

The current gold standard for detection of coronary artery disease and invasive treatment is conventional X-ray coronary angiography (CAG).

A lot of effort has been invested in previous studies to better expose and enhance visibility which is a key factor for improved diagnosis and treatment. Yet, visibility of the blood vessels and their luminal content, especially the small ones, is still limited in spite of its substantial clinical significance. We propose an algorithm for Cineangiograms, whose main part is inspired by a specific mechanism of the visual system. It enables performing multiscale line completion, integrated with ROI detection framework. We computed binary vascular ROI estimation, with additional functions that enable continuation, separately for each scale, followed by integrated scales to detect content within the vascular channels. In the last stage, the ROI is incorporated to the original image with further adjusting the appropriate dynamic range of the image.

The results have been evaluated by consensus of 2 cardiologists who reported on the better visibility of the coronary blood vessels, especially the small ones. The better identification of various catheterization tools within the blood vessels, as well as the lesions themselves (for the first time), may all together lead to better diagnostic and procedural capabilities. Nevertheless, also noted was the appearance of disturbing vertebral and bony artifacts, which can mimic small blood vessels and may lower diagnostic accuracy, especially while viewing still images, and less so in cine mode. Ongoing research addresses this challenge. Our current algorithm has a potential to be performed in real time, without the need of annotated data, and even in low contrast conditions (during dye clearance or lower radiation).

 

השתתפות בסמינר תיתן קרדיט שמיעה = עפ"י רישום שם מלא + מספר ת.ז.  בצ'ט

 

 

School of EE Seminar - Communication with Unreliable Entanglement Assistance- Dr. Uzi Pereg

26 בינואר 2022, 15:00 
 
School of EE Seminar - Communication with Unreliable Entanglement Assistance- Dr. Uzi Pereg

ZOOM SEMINAR

https://tau-ac-il.zoom.us/j/88530592735?pwd=aUZBU2ZWeFRpUVl4aUN3Wmx6ZGFQdz09
Meeting ID:        885 3059 2735
Passcode:            TAUEESYS

(The talk will be given in English)

 

Speaker:     Dr. Uzi Pereg

Institute for Communications Engineering in the Technical University of Munich (TUM) and

Munich Center for Quantum Science and Technology 

 

 

Wednesday, January 26th, 2022
15:00 - 16:00

Communication with Unreliable Entanglement Assistance

Abstract

Quantum communication has seen rapid development in the last decade, in both practice and theory. Entanglement resources are instrumental ina wide variety of quantum network frameworks. In particular, entanglement assistance can increase transmission rates substantially. Unfortunately, entanglement is a fragile resource that is quickly degraded by de coherence effects. To generate entanglement for optical communication, the transmitter first prepares an entangled photon pair locally, and then transmits one of the photons to the receiver through an optical fiber or free space. Without feedback, the transmitter does not know whether the entangled photon has reached the receiver.

The present work introduces a new model of unreliable entanglement assistance, whereby the communication system operates whether entanglement assistance is present or not. While the sender is ignorant, the receiver knows whether the entanglement generation was successful. In the case of a failure,the receiver decodes less information. In this manner, the effective transmission rate is adapted according to the assistance status. Regularized formulas are derived for the classical and quantum capacity regions with unreliable entanglement assistance, characterizing the tradeoff between the unassisted rate and the excess rate that can be obtained from entanglement assistance.

Short Bio

Uzi Pereg is a post-doctoral researcher at the Institute for Communications Engineering in the Technical University of Munich (TUM), and at the Munich Center for Quantum Science and Technology. He works in the theory group of the German federal government projects Q.Link.X. (2020-2021) and QR.X. (2021-2022) for the design and analysis of quantum communication and repeater systems. He was awarded the Ph.D. degree at the Viterbi Faculty of Electrical and Computer Engineering, Technion - Israel Institute of Technology, Haifa, Israel, in 2019. Uzi received the B.Sc. (summa cum laude) degree in Electrical Engineering from Azrieli College of Engineering, Jerusalem, Israel, in 2011, and the M.Sc. degree from Technion, Haifa, Israel, in 2015. His research interests are in the areas of quantum communications, information theory and coding theory. Uzi is a recipient of the Pearl Award for outstanding research work in the field of communications, the KLA-Tencor Award for an excellent conference paper, the Viterbi Ph.D. Scholarship of the Technion, Viterbi Postdoc Fellowship for nurturing future faculty members, the Quantum Science and Technology Fellowship of the Israel Council for Higher Education, and the Seed Funding Grant of the Munich Center for Quantum Science and Technology (MCQST).‏

 

השתתפות בסמינר תיתן קרדיט שמיעה = עפ"י רישום שם מלא + מספר ת.ז.  בצ'ט

 

 

 

Hardware Lab Operator

What you’ll be doing:

  • Labs support for HW engineering team in their daily tasks
  • Manage and maintain physical and virtual servers and switches
  • Installing new hardware and software for Linux /Windows, Virtualization systems
  • Diagnosing and troubleshooting hardware, network, and software issues
  • Physical work in the LABs and the ability to work remotely with physical servers / VMs

What we need to see:

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IC Characterization Engineer

What we need to see:

  • BSc in electrical engineering
  • Experience of over 2+ years in IC SerDes/High speed validation/characterization.
  • Detailed understanding of debug methods and high-speed signal validation tools and methods .
  • Strong problem-solving abilities and out of the box thinking.

How to stand out in the crowd:

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Practical Engineer

What  we need to see:

  • Bachelor's degree (or equivalent experience) with computer or electronic expertise.
  • Knowledge in any computer programming language.
  • Background in scripting with Python/TCL/Bash.
  • 2+ years of experience in Linux/ Window support.
  • Strong interpersonal skills and ability & desire to innovate.
  • Very high curiosity and passion to learn.
  • English (reading and writing).

Ways to stand out from the crowd:

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