Curriculum Vitae

1. Mohamed Zahran
Deep Learning Researcher
Phone +201119986552
E-mail moh3th1@gmail.com
LinkedIn https://www.linkedin.com/in/mohdem1/
GitHub https://github.com/moh3th1
Experience
2017-06 - present Deep Learning Researcher
Valeo
Responsibilities:
Achievements:
Writes/reviews new publications/patents.•
Conducted state of the art research in machine learning and deep learning application to autonomous driving.•
Implemented and prototyped research ideas on real hardware and embedded systems.•
Innovated solutions for self driving cars problems.•
Published research papers/ in the area of deep learning and autonomous driving.•
Published four papers in top tier conferences focusing on 3D object detection from LiDar point cloud and
semantic segmentation.
•
Improved and integrated Automatic Annotation into Valeo platforms. •
Researched and Implemented deep learning models for Generative adversarial networks (GANs), Automatic
Annotation, Active learning, depth prediction, object detection, semantic segmentation, tracking, and sensor
fusion on the available data from Valeo sensors.
•
Deployment of deep learning models to embedded devices.•
2016-09 - 2017-05 Co-Founder
Deep Learning startup
Responsibilities:
Achievements:
Co-Founded the first deep learning startup in Egypt for democratizing deep learning in industry.•
Lead the negotiation and the planning with industry partners to implement tailored deep learning solutions.•
Integrated deep learning solutions into customers machines.•
Customized object detection and classification models for food processing industry. •
Increased Sorting machines accuracy by 40%. •
Slashed operational cost of our customer by 10 Million Egyption pound. •
Performed exploratory data analysis to collect and prepare customer data.•
Publications
2018-12 YOLO4D: A Spatio-temporal Approach for Real-time Multi-object Detection and Classification from LiDAR
Point Clouds (NeurIPS 2018)
2018-06 YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud
(ECCV 2018).
2018-05 MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving (ITSC
2018)
2017-12 Motion and Appearance Based Multi-Task Learning Network for Autonomous Driving (NeurIPS 2017).
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2. Education
2018-09 - present Nile University, Computer Science, Informatics, Master of Science
Coursework: Big data, Scientific computing
2010-09 - 2016-07 Tanta University, Communication and Electronics, Bachelor of Science
Coursework: Communication systems, Electronics, Waves, Satellite communication, Mobile Communication,
Networks and Security.
Skills
- Programming Languages: Python, C++, and Matlab
- Deep learning Frameworks: TensorFlow ,Pytorch and Keras
- Python libraries: Numpy, Scipy, Scikit-learn, Pandas, OpenCV
- Deep Learning, Machine Learning and Computer vision Algorithms: Generative adversarial networks
(GANs), Long Short term Memory (LSTM), Reinforcement learning, Regression Analysis, GMDH, Automatic
Annotation, Active learning, depth prediction, Classification, object detection (2d and 3D), semantic segmentation
(2d and 3D), tracking, and sensor fusion
- Big Data: Hadoop, Hive and Spark
- Embedded systems (AVR & ARM).
Languages
- Arabic - Native
- English - Fluent
Projects
- Hajj Medical Health platform: Lead the development of medical health monitoring system to track the health
status of the Hajj when visiting Mecca. We build a prediction and classification model applied to the ECG and
EMG signals helping the government to take fast actions. The system consist of the sensors wired to embedded
microcontroller which perform basic machine learning functions in real time giving the Hajj a live status about
his/her health. The data is synchronized with cloud at periodic intervals which performs in-depth analysis for the
signals.
- Numerical library: Developed a C++ library that implements a collection of numerical techniques for scientific
computing like Gauss-Seidel, cubic spline interpolation and etc...
- Real Estate Chatbot; Analyzed and build a customized chatbot for Egyption real estate industry. The chatbot is
connected with basic functions in the house like light and air conditioner.
- Mobile Application for childrens with special needs: Contributed to the development of a specialized android
application for the childrens with special needs by developing a deep learning model that can recognize and
identify a doodle drawn by the child and pronounce it. The goal of the app is to help the doctors understand the
psychological status of the child using these drawings.
- Diabetic Retinopathy Classification: Build deep learning system to help ophthalmologist recognize and
identify Diabetic Retinopathy using cheap cameras.
- Adaptive personalized e-Learning System: Contributed to the development of an adaptive learning system
that's learns the student learning style using reinforcement learning models.
- Meetings Robot: Contributed to the development of a meeting robot that mentors any meeting, counts people,
identify them and finally takes "Meeting Minutes"
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3. - Human follower robot: Designed and implemented a fully Autonomous Robot prototype that follows a human
and avoid obstacles using wearable device.
Courses and Tranings
- Convolutional Neural Networks for Visual Recognition,CS231n (Stanford University via official website)
- Deep Learning Specialization (Deeplearning.ai via Coursera)
- Deep Learning with TensorFlow (Google via Udacity)
- Machine learning, Andrew Ng
- Big Data 101 ( IBM via Cognitive Class)
- Programming for Everybody (University of Michigan via Coursera)
- Emerging Technologies: From Smartphones to IoT to Big Data Specialization (Yonsei University via Coursera)
- Semi senior competitive programming Hurghada Camp
- Embedded Systems Boot Camp
- Design Thinking Process from Hasso Plattner Institution (HPI)
- Starting Your Consultancy Business (European Bank for Reconstruction and Development, Egypt)
- Start and Improve Your Business (SIYB) (International Labour Organization, Egypt)
- Cisco Certified Network Professional (CCNP) - Routing and Switching.
- Cisco Certified Network Associate (CCNA) - Routing and Switching.
Awards
2016 - Yomken innovation challenge Award: Won (10,000$) reward for designing and implementing okra sorting
machine software prototype.
2017 - Cairo Innovates: Won third place in International Cairo Exhibition of Innovation based on our proposal for
solving the okra infection problem.
Additional Activities
2018-10 Introduction to Data Science talk
NASA Space Apps Cairo
2018-07 Machine Learning Crash Course
Google Developer Group
2018-04 Deep learning Applications talk
CAT Reloaded
2018-03 Artificial intelligence Applications talk
Al Azhar Tedx Salon
Introduction to deep learning and machine learning
IEEE SSCS Alexandria
2017-12 Mentoring Graduation projects
Ain Shams University, Tanta University and Alexandria University.
Mentored several graduation projects with students from Ain Shams University, Tanta University and Alexandria
University. Graduation projects are in the domain of artificial intelligence and deep learning like Face recognition,
self driving cars, Imitation learning and Behavior cloning, Last mile delivery and etc...
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