Alaa Shafaee

Alaa Shafaee

مصر
٨٤٩ متابع أكثر من 500 زميل

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نبذة عني

I joined Microsoft in 2015 where I designed and implemented core backend, frontend…

النشاط

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الخبرة

  • رسم بياني Microsoft

    Microsoft

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    Cairo, Egypt

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    Cairo, Egypt

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    Hungary

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    Egypt

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    Cairo

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    Cairo

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    Germany

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    Cairo

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التعليم

  • رسم بياني Georgia Institute of Technology

    Georgia Institute of Technology

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    الأنشطة والجمعيات:Robocup Festo team (2013-2014), ACM and algorithms camps, Community development committee | Big Buddy (2013-2014), Vice head of the publication committee | MOIC (2012-2013), HR | Microsoft Techclub (2012-2013), Marketing | Big buddy (2012-2013), Microsoft Student Partner (2012-2013), Publication committee | MOIC (2011-2012), Junior teaching assistant (2011-2014)

المنشورات

  • Aspect-Based Sentiment Analysis of Amazon Reviews for Fitness Tracking Devices

    Springer International Publishing

    The year 2012 marked the birth of a new class of wireless wearable fitness trackers (e.g., Fitbit One) that track daily activity from the count of steps taken and calories burned to stairs climbed and sleep patterns. As the recent trend in research extends the use of these devices to a broader range of applications, questioning the reliability and accuracy of these devices became much more legitimate. In this research, we assess the public opinion on these devices through utilizing novel…

    The year 2012 marked the birth of a new class of wireless wearable fitness trackers (e.g., Fitbit One) that track daily activity from the count of steps taken and calories burned to stairs climbed and sleep patterns. As the recent trend in research extends the use of these devices to a broader range of applications, questioning the reliability and accuracy of these devices became much more legitimate. In this research, we assess the public opinion on these devices through utilizing novel sentiment analysis techniques to build a fully automated aspect-based sentiment summarizer that transfers the sheer amount of Amazon reviews of these products to a user-friendly summary. Product features are extracted using the text of reviews, the description and features sections on Amazon. Another approach is also proposed that extracts the names of competing products and compares their reviews to separate the features from the other common nouns. To enhance sentiment classication, the system combines two sentiment lexicons, handles complex negation types through parsing while handling semantic relations, and assigns the sentiment tothe proper product and feature. The proposed summarizer’s components generally outperform the state-of-the-art methods with notable improvements in detecting product features, competing products and negation and can easily generalize to other domains.

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الدورات التعليمية

  • Advanced Topics in Robotics

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  • Analysis and Design of Algorithms

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  • Artificial Intelligence

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  • Cloud Computing

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  • Compilers

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  • Computability, Complexity and Algorithms

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  • Computer Graphics

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  • Computer System Architecture

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  • Computer Vision

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  • Computer and Network Security

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  • Data Structures and Algorithms

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  • Databases I

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  • Databases II

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  • Digital System Design

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  • Discrete Math

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  • Embedded System Architecture

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  • German I, II, III, IV, V

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  • High Performance Computing

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  • Introduction to Communication Networks

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  • Introduction to Management

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  • Machine Learning

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  • Machine Learning _

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  • Microprocessors

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  • Multi-Agent Systems and Planning

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  • Network and Media Lab

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  • Neural Networks

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  • Operating Systems

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  • Project Management

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  • Seminar in Selected Topics in Computer Science

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  • Software Engineering

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  • Theory of Computation

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المشروعات

  • Robocup - Logistics league sponsord by Festo

    ⁩ - الحالي

    We are working on the planning component in a robotics project in which several robots collaborate in an environment that simulates a production system. The agents work autonomously to simulate manufacturing products in a production line while handling many challenges such as detecting the machine types, dealing with out-of-order machines, obstacle avoidance, assigning the most suitable tasks to each robot and finding the shortest path to get tasks done, express goods and changing delivery…

    We are working on the planning component in a robotics project in which several robots collaborate in an environment that simulates a production system. The agents work autonomously to simulate manufacturing products in a production line while handling many challenges such as detecting the machine types, dealing with out-of-order machines, obstacle avoidance, assigning the most suitable tasks to each robot and finding the shortest path to get tasks done, express goods and changing delivery gates.
    We aim to participate with this project in Robocup 2014 competition.

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  • Evaluating Fitness Trackers through Sentiment Summarization and Physical Experiments

    ⁩ - الحالي

    The year 2012 marked the birth of a new class of fitness tracking devices (e.g., Nike+ Fuelband and Fitbit One) that are capable of estimating the number of steps taken, stairs climbed, distance traveled, calories burned and other measures on a daily basis. As the recent trend in research extends the use of these devices to a broader range of applications, questioning the reliability and accuracy of these devices became much more legitimate. In my bachelor thesis research, a set of the leading…

    The year 2012 marked the birth of a new class of fitness tracking devices (e.g., Nike+ Fuelband and Fitbit One) that are capable of estimating the number of steps taken, stairs climbed, distance traveled, calories burned and other measures on a daily basis. As the recent trend in research extends the use of these devices to a broader range of applications, questioning the reliability and accuracy of these devices became much more legitimate. In my bachelor thesis research, a set of the leading fitness trackers was evaluated by mining people’s opinion and through human testing as follows.

    1) Novel sentiment analysis techniques were utilized to build a fully automated aspect-based sentiment summarizer that transfers the sheer amount of Amazon reviews of these products to a user friendly summary. The system dynamically extracts the features of products in reviews, the competing products and what people think on each feature. Many challenges in sentiment analysis were handled to accurately detect the sentiment per feature including negation, the context of words and change of sentiment based on Part-Of-Speech.
    The summarizer was used to mine people’s opinion on leading fitness trackers.

    2) A set of the leading fitness trackers was evaluated through human testing by designing a set of physical experiments.

    The project resulted in a paper in the post-proceedings of the 18th PAKDD conference in Springer.

  • iPad controlled Car

    Controlled a car through an iPad. The iPad's orientation was used to change the direction and speed of the car. (Technologies used: Arduino, Zigbee, iOS development, controlling motors)

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  • Minesweeper's Robot

    We participated in a team of nine to build a robot to detect surface and buried mines in the desert. The robot scans a map in the desert to find the locations of mines and sends the location to a remote PC where the locations and types of mines are visualized. We participated with it in the Minesweepers competition and took the fourth place.

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  • Pasha

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    To handle outages, Prezi use Pasha, a chatbot that helps to speed up the communications and decrease the time to recover. Our tasks were to integrate third-party tools (Changelog, Dashboards, Pagerduty) and to make it open-source.
    During the development we used CoffeeScript.

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التكريمات والمكافآت

  • Second best summer internship mentor

    Microsoft

  • Microsoft Best Leader Award - MSP

    Microsoft

    By Microsoft Egypt General Manager, Mr. Khaled Abdel Kader.

  • Top Ranked Student (1st on class by GPA, 3rd on class excluding elective courses)

    German University in Cairo

    Highest GPA among 140+ students.

  • Fourth place in the Minesweepers competiton

    IEEE

    The description below is copied from www.landminefree.org

    In order to foster robotics research and its applications in the area of humanitarian demining in the world, the IEEE Robotics and Automation Society – Egypt Chapter (Winner of 2012 Chapter of the Year Award in IEEE Region 8) organizes Minesweepers: Towards a Landmine-free World as the first international outdoor robotic competition on humanitarian demining. It aims at raising the public awareness of the seriousness of the…

    The description below is copied from www.landminefree.org

    In order to foster robotics research and its applications in the area of humanitarian demining in the world, the IEEE Robotics and Automation Society – Egypt Chapter (Winner of 2012 Chapter of the Year Award in IEEE Region 8) organizes Minesweepers: Towards a Landmine-free World as the first international outdoor robotic competition on humanitarian demining. It aims at raising the public awareness of the seriousness of the landmines and UXOs contamination and the role of science and technology in solving this problem and motivates professors, engineers and students working on innovative solutions for this serious problem.

    In this competition, each participating team constructed a teleoperated/autonomous unmanned ground/aerial vehicle that should be able to search for underground anti-personnel mines and aboveground unexploded ordnances. The position and the type of each detected object were visualized and overlaid on the minefield map. The robot had to be able to navigate through rough terrain that mimics a real minefield.

    A special version of the competition entitled Junior Minesweepers is dedicated to primary and secondary school students.



    Minesweepers: Towards a Landmine-free World is sponsored and hosted this year by the German University in Cairo (GUC). The competition is supported by Executive Secretariat for the Demining & Development of the North West Coast, Ministry of International Cooperation, Mines Action & Human Rights Foundation and Protection Against Armaments & Consequences and African Robotics Network (AFRON).

  • Fourth Place Worldwide - Robocup Festo League

    Robocup

  • Third top ranked student on Al Giza Governorate in Thanweya Amma (high school)

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    Ranked the third on Al Gizah Governorate in Thanaweya Amma with a score of 100%.

اللغات

  • English

    إجادة اللغة الأم أو إجادة لغتين إجادة تامة

  • Arabic

    إجادة اللغة الأم أو إجادة لغتين إجادة تامة

  • German

    مستوى إجادة محدود

  • French

    مستوى إجادة أساسي

المؤسسات

  • Model Organization of Islamic Cooperation (MOIC)

    Vice Head Publications Committee

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    Co-leading a team of designers and responsible for all graphic designs for MOIC in 2012-2013.

المزيد من أنشطة Alaa

عرض ملف Alaa الشخصي الكامل

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  • تقديم تعارف
  • تواصل مع Alaa مباشرة
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