プロフィール詳細

プロジェクトを作成

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Dr. Mohamed K.に依頼

Canada

Phd candidate. Academic and industrial experience in signal processing and communication systems.

プロフィール概要

PhD Candidate, ECE dept. Memorial University, Canada. Using machine learning, optimization techniques algorithms and index coded caching to decrease transmission delays and peak rates in wireless networks. Developed a linear time algorithm for solving a class of linear programs. M.Sc. in Wireless Communications, Nile University, Egypt. June 2011. Thesis: “Interference Alignment for Cognitive and Cellular Wireless Networks”. Information theoretic study of cognitive radio methods. Used Interference Alignment for the coexistence of secondary networks that reuse available spectrum and to partially identify the Degrees of freedom of MIMO interference channel. B.Sc. in Communications and Electronics, Alexandria University, Egypt. July 2008. Graduation project: Mobile 3G Transceiver, tested on matlab, built with Embedded C and a DSP-kit. Patents “Linear-time solver for a class of linear optimization problems”, in preparation. Prior linear optimization algorithms solution time is O(n2.5), where n number of variables. Currently working on the extension of my algorithms to solve the general linear program. Machine learning related publications Mohamed Amir, Ebrahim Bedeer, M. H. Ahmed, and Tamer Khattab, “Learning based Coded Caching with Time-Varying Files Popularities”, submitted to the IEEE transactions on networking. Mohamed Amir, Ebrahim Bedeer, M. H. Ahmed, and Tamer Khattab, “Delay optimization using proactive caching caching and reinforcement learning”, submitted to the IEEE communications letters. Work Experience Visiting researcher at the American University of Cairo, Egypt Oct. 2020 - Oct. present. Working on algorithms to optimize sensor data communication. Signal processing (Algorithm) Engineer, part time, NAVSIM Tech., Canada.Oct. 2017-Dec.2020. Developed algorithms for marine navigation using GPS and inertial sensors. The Algorithms efficiency got very good feedback from the ship pilots. Those algorithms managed to overcome the problems of highly variable noise and drift of the sensors. Performed product testing on the field. Collected and analyzed data for the performance of the products. Visiting researcher at the University of Ottawa, Canada. Aug. 2018 - Oct. 2019. Developed noise generation algorithms for protecting users' privacy online. A windows app was developed to employ those algorithms. The app is the first to achieve online privacy against service providers tracking. Research Assistant, Qatar University, Qatar. Dec. 2012 - July 2016. Developed algorithms for physical layer security. Managed to Identify the secure degrees of freedom of various wireless networks. Developed algorithms for smart grid security. Managed to Identify the degrees of freedom of the two user asymmetric MIMO Interference channel. Research Assistant, WINC, Nile University, Egypt. Oct. 2008- Aug. 2012. Proposed the idea of “Cognitive interference alignment” to reuse the occupied spectrum. The significance of the developed scheme is that it achieved zero interference at the primary user with no change to the primary user PHY, the scheme attracted huge research interest and various scheme aspects/derivatives were studied by the community. Identified partially the degrees of freedom of the three user MIMO interference channel.

専門分野

• ★ Wireless Communication
• ☆ Signal Processing
• ☆ Software Engineering
• ☆ Machine Learning

サービス

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing

Research Market Research, Feasibility Study, Fact Checking, Gap Analysis

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-Non ML, Big Data Analytics, Data Processing, Data Insights

Product Development Formulation, Product Evaluation, Prototyping

職務経験

signal processing engineer

Navsim tech

10月 2017 - 12月 2020

学歴

Communications and Computer engineering

Memorial University

9月 2016 - 12月 2021

認定資格

• 認定資格の詳細は未入力です。