Electronics and Electrical Communications Engineering Dept Cairo University

19/01/2018

نتيجة امتحان قبول تمهيدي الماجستير:

20/12/2017

جدول الدراسات العليا المعتمد:

15/12/2017

Ph.D. defense of Eng. Michael Melek scheduled on Saturday 16/12/2017 at 2:30 PM in the department seminar room.

Title:
Compressed Sensing Algorithms for Wideband Spectrum Sensing in Cognitive Radio Networks

Abstract:

Wideband spectrum sensing is one of the most challenging components of cognitive radio networks applications. It should be performed as fast and accurately as possible. Traditional wideband spectrum sensing techniques suffer from the requirement for excessively high sampling rate analog-to-digital converters. It was proposed that compressed sensing may enable wideband spectrum sensing at a much lower sampling rate than that dictated by the Nyquist theorem. However, its reconstruction complexity and speed remained a barrier for such an application.

In this thesis, we introduce Adaptive Reduced-set Matching Pursuit (ARMP) and Fast Matching Pursuit (FMP), fast and accurate greedy recovery algorithms for compressed sensing. We employ FMP to wideband spectrum sensing for cognitive radio networks. We show that the spectral data are sparse in the Haar wavelet and wavelet packet domains. We incorporate this fact with the proposed FMP algorithm to introduce a fast and accurate spectrum sensing technique, which is suitable for application in CRN.

Our proposed technique is capable of reconstructing spectrum signals from samples at a rate of about 25% of the Nyquist rate, significantly faster than other related algorithms, at more than 99% probability of detection and less than1% probability of false alarm.

09/12/2017

26/11/2017

الجدول المقترح لامتحانات الدراسات العليا - الفصل الأول 2017-2018:

Sheet1 التخصص, الخميس, السبت, الاثنين, الخميس, الاثنين, الخميس, السبت, الاثنين, الخميس 28-Dec-2017, 30-Dec-2017, 1-Jan-2018, 4-Jan-2018, 8-Jan-2018, 11-Jan-2018, 13-Jan-2018, 15-Jan-2018, 18-Jan-2018 الكترونيات, محولات البيانات, الدوائر المتكاملة الرقمية, أسس الكتابة الفنية ( عام 600) منهجي...

25/11/2017

https://m.facebook.com/story.php?story_fbid=1502255176548425&id=467249793382307

Are you an undergraduate student at Cairo University? Are you working on a promising
technical project but lack funding to proceed?

The Technical Center for Career Development ( TCCD) is offering you the opportunity to present your project in front of stakeholders and industrial representatives participating in the 22nd Faculty of Engineering at Cairo University Job Fair that will be held on December 7th, 2017.

If you are interested to participate in the session of "Promising Undergrad Applied Projects", submit a one-page description of your project,
its potential, explaining why do you need fund for your project, before November
30, 2017.

Send your project details to
[email protected]

Location: Engineering Mathematics and Physics Dept., Faculty of Engineering, Cairo University, 12613, Giza, Egypt
Facebook:- TCCD.Eng, FECU.Jobfairs
Phone: 202–35681696 / 202–35678257

23/11/2017

Possible Directions for Building a Career in Data Science: A Workshop
يوم السبت 16 ديسمبر 2017
قسم الالكترونيات والاتصالات الكهربية
مدرج 8310
من الساعة 10 ص الى الساعة 3:30 م
اذا رغبت فى الحضور الرجاء التسجيل فى هذا الموقع* - الاعداد محدودة
https://goo.gl/forms/HvDlpSr3hPkp2Tgq1
Dr. Walid Magdy (http://homepages.inf.ed.ac.uk/wmagdy/) is giving a workshop on possible directions to build a career in data science. The first two lectures give examples on domains of research in data science, namely: information retrieval and computational social science. The third lecture explores the possible career paths after graduation, where it includes some advices for those interested in different career paths, such as working in industry, working in research and academia (including graduate studies), and those who are interested in running their own business.
This workshop consists of three lectures:
1. Information Retrieval: Search is not only the Web
2. Computational Social Science: What can we learn from big Social data?
3. What should I do after graduation?

28/04/2017

الجدول المقترح للدراسات العليا الفصل الدراسي الثاني 2016-2017: https://docs.google.com/spreadsheets/d/1_ngw-HyRhxz9_5wfkm8Gs_Fhmz5IwDKkeysMHE4oceQ/edit?usp=sharing

Sheet1 التخصص, التخصص, الإثنين, الخميس, الإثنين, الخميس, السبت, الإثنين, الخميس, السبت, الخميس 22-مايو-2017, 25-مايو-2017, 29-مايو-2017, 1-يونيو-2017, 3-يونيو-2017, 5-يونيو-2017, 8-يونيو-2017, 10-يونيو-2017, 15-يونيو-2017 ماجستير علمي, الكترونيات, إدارة القدرة, م. م. في التصميم بمساعدة الحاسب...

19/04/2017

Title: Deep Learning: Trends, successes, and opportunities

Presenter: Dr. Abdel-rahman Mohamed

Where: Hammam lecture hall, Electronics and Communications dept, Cairo University

When: Saturday, April 22nd, 9:30 AM

Inline image 1

Abstract:

In the past decade, Deep Learning made huge leaps forward in many standard AI areas, and created many new research fronts. In this talk, I will cover basic background for Deep Learning, then summarize major research trends in big industrial research labs. At the end, I will talk about open research questions, and how researchers and engineers in Egypt can be part of these new trends.



Bio:

Dr. Abdel-rahman Mohamed is a Researcher at Microsoft Research. He received his PhD from the University of Toronto working with Geoffrey Hinton, the Godfather of Deep Learning. His interests include Deep Learning and Spoken Language Technologies. With researchers in The University of Toronto, he initiated the comeback of Neural Networks for acoustic models in 2009 as the very first large scale success of Deep Learning at industrial scale, and since then he worked on developing many Neural Network models for pushing the ASR accuracy even further. His work from 2014 on using Convolutional Neural Networks for acoustic modeling received the 2016 IEEE Signal Processing Society best paper award.

Personal page: http://www.cs.toronto.edu/%7Easamir/

Google Scholar page: http://scholar.google.ca/citations?user=tJ_PrzgAAAAJ&hl=en

I'm a machine learning researcher at Microsoft Research Labs. My research interests lie in Deep Learning and Spoken Language Technologies. I received my PhD from the CS department at the University of Toronto working with Gerald Penn and Geoffrey Hinton. Before joining UofT, I worked in the speech g...

29/03/2017

Ph.D. Seminar
Date: Saturday 1/4/2017
Time: 2:00 PM
Place: EECE Dept Seminar Room.

Title:
Compressed Sensing Algorithms for Wideband Spectrum Sensing in Cognitive Radio Networks

Abstract:
Wideband spectrum sensing is one of the most challenging components of cognitive radio networks applications. It should be performed as fast and accurately as possible. Traditional wideband spectrum sensing techniques suffer from the requirement for excessively high sampling rate analog-to-digital converters. It was proposed that compressed sensing may enable wideband spectrum sensing at a much lower sampling rate than that dictated by the Nyquist theorem. However, its reconstruction complexity and speed remained a barrier for such an application.

In this thesis, we introduce Adaptive Reduced-set Matching Pursuit (ARMP) and Fast Matching Pursuit (FMP), fast and accurate greedy recovery algorithms for compressed sensing. We employ FMP to wideband spectrum sensing for cognitive radio networks. We show that the spectral data are sparse in the Haar wavelet and wavelet packet domains. We incorporate this fact with the proposed FMP algorithm to introduce a fast and accurate spectrum sensing technique, which is suitable for application in CRN.

Our proposed technique is capable of reconstructing spectrum signals from samples at a rate of about 25% of the Nyquist rate, significantly faster than other related algorithms, at more than 99% probability of detection and less than1% probability of false alarm.

23/12/2016

جداول الدراسات العليا للفصل الدراسي الأول للعام الجامعي 2016/2017: