Machine Python

May Hammad

Curriculum Vitae

PERSONAL DETAILS

Birth August 24, 1996

Phone +20-115*******

Mail *-*********@**********.***.**

EDUCATION

Bachelor of Aerospace and Robotics Engineering, 2014-2019 University of science and technology at Zewail City, Egypt. High School 2013 - 2014

Futures Language schools,

With grades of 99.4%

EXPERIENCE

Research Intern Sep-2019-current

The Video computing group University Of California Riverside Im currently working with my twin sister on "Video Captioning problem" as to build on and improve current state of the art approaches and beat current state of the art evaluation scores .

Research Intern

Dec-2018-August

2019

Zewail City for Science and Technology

I have recently worked on project entitled "Video emotion extraction " with my twin sister in which we utilized deep learning and natural language processing techniques to extract the dominant emotion from input videos using voice and audio features .

I have recently worked on project entitled "Movie Story Telling " with my twin sister in which we utilized deep learning and computer vision as well as natural language processing techniques to and generate commentary based on the extracted data to be able to describe the actions happening, people and speech sentiment inside the movie scene . .

Research Intern Jul-Oct.2018

At the Center of Pattern Analysis and Machine Intelligence, University of Waterloo. During the time of the internship, worked on a project entitled "Automated Theorem Proving". I have used Neural Machine Translation (NMT) to translate from informal

(Latex/English) to formal ATP compiled format (Mizar/Isabelle/HOL Light). IBN-Zayed Robotics Competition 2018

itemize

I worked with a team to develop an "Autonomous Quad Copter " that will autonomously locate, pick, transport and assemble di erent types of brick shaped objects to build pre- de ned structures, in an outdoor environment. I used deep learning for object recognition and scene understanding and semantic scene segmentation . I also worked with a team to develop an "Autonomous Quad Copter " that will au- tonomously track and interact with a set of objects . I used computer vision techniques to develop object tracking system and used deep neural networks to develop trajectory prediction system.

Research Intern July-Oct. 2017

At the Advanced Development Division, Sypron Solutions. During the time of the internship, I was using machine learning platforms including deep neural networks for Online failure prediction and sensored IOT prognostics for oil and gas applications.

Part time online job Jun-Aug.2017

For a private organization,

I worked with a team to develop a "chatterbot" for social service using deep learning question answering algorithm.

Senior Intern 2014 -2018

At the Communications and Aerospace Technology Center, Zewail City For Science and Technology.

Worked on Gazebo simulation of "FourWD ROS package " Used Robot Operating System (ROS) and gazebo simulation environment to simulate smart robot able to autonomously navigate "Willow Garage gazebo environment" and map its envi- ronment using four types of Simultaneous localization and navigation algorithms

(SLAM)

Worked on "Gazebo Simulation of Roomba cleaning robot". Used Robot Operating System (ROS) and gazebo simulation environment to simulate smart cleaning robot that navigates indoor environments using SLAM algorithms and acquiring images from camera it uses semantic image segmentation and recognition for obstacle avoidance

Worked on Quad-copter trajectory prediction in Gazebo outdoor simulation envi- ronment. Used LSTM-gated recurrent neural networks for quad-copter trajectory prediction given its initial coordinates and speed

Worked on "Behavioral Cloning Model for Self driving car simulation". Used convolutional neural networks to train an autonomous car to drive human like in outdoor Udacity (Unity)simulated environment

Orbital mechanics toolkit

{ Python implementation of genetic algorithms for optimizing earth centered impulsive transfer trajectories and target speci ed boundary conditions

{ Python implementation of Particle Swarm Optimizer for earth centered trans- fer Low thrust nite-Burn trajectories and target speci ed boundary conditions

{ C++ Implementation for orbit determination and space trajectory optimiza- tion

{ Python Implementation for orbit propagation/simulation/TLE parsing

{ Worked on" road segmentation and lane detection ". Used the fully con- volutional deep neural networks for semantic road segmentation and lane detection

{ Worked on "solving Navier Stokes Partial Deferential Equation". C++ Implementation for numerical solver using genetic algorithms simulated using

(OpenGl)

SKILLS

Languages English, Arabic, German, French

Programming Several programming languages including: C/C++, Python, and Matlab.

Software

Platforms

Several machine learning platforms including;

DialogueFlow, TensorFlow, Torch, Theano, Keras, Ca e, Deeplearning4j, and OpenCV

Personal Excellent presentation skills,

Enjoys working in a team.

NOTABLE COURSES

Self Driving Car (Coursera) current

Introduction To Algorithms (Edx) current

Deep learning 2019

Natural language processing 2019

Natural language processing specialization(Coursera) 2018

Advanced control of autonomous vechiles 2018

Slam course (Cyrill Stachniss) 2018

Deep learning specialization (Coursera) 2017

MIT Self Driving Car (Open course ware) 2017

Machine learning and data analyitics 2017

Arti cial intelligence for robotics(Udacity) 2016

Neural networks for machine learning (coursera) 2016

ACM/ECPC training 2016

Discrete mathematics 2016

Signals and systems 2015

HONORS AND AWARDS

Achieved the highest grades and being the top student among more than 100 students in my graduation year, 2014, in the GSE high school (grade 99.4 % ).

Awarded a full funded scholarship for four years to study my bachelor degree at University of science and technology at Zewail city. 2014 EXTRACURRICULAR ACTIVITIES

Marketing and Public relations intern at Enactus Zewailcity 2017

Public relations member at Euroavia-ZC 2016

German kindergarden teacher at

Agyptisch-Deutsches Kulturzentrum (ADK) 2016

REFERENCE

Will be provided on demand.

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