Mahdi Naddaf

Mahdi Naddaf Email and Phone Number

Research Scientist | Robotics, and Machine Learning @ EnRisk
Mahdi Naddaf's Location
Palo Alto, California, United States, United States
Mahdi Naddaf's Contact Details

Mahdi Naddaf personal email

About Mahdi Naddaf

As a Research Scientist at Ford Motor Company, I utilize and develop Machine Learning and Deep Learning methods to enhance the efficiency and quality of advanced manufacturing applications. I have over 6 years of experience in AI and computer vision, with a focus on object pose estimation and synthetic data generation.I also have a strong background in robotics, with 9+ years of experience in embedded systems and algorithm design for various platforms and end-effectors, including industrial robots, cobots, and drones. I am skilled in ROS, Isaac Sim, and VR environments, and I have contributed to multiple projects involving robot manipulation, teleoperation, and reinforcement learning. My mission is to apply my expertise in AI and robotics to create innovative solutions for the automotive industry and beyond.I am open to relocation, and no visa support is needed.

Mahdi Naddaf's Current Company Details
EnRisk

Enrisk

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Research Scientist | Robotics, and Machine Learning
Mahdi Naddaf Work Experience Details
  • Enrisk
    Research And Development Scientist
    Enrisk Jul 2023 - Present
    Washington, District Of Columbia, Us
    Computer Vision for Robotics Research
  • Ford Motor Company
    Research Scientist
    Ford Motor Company Mar 2021 - Jun 2023
    Dearborn, Michigan, Us
    - Utilizing and developing Machine Learning and Deep Learning in advanced manufacturing applications.- 6DoF object pose estimation with point cloud data for robot manipulation applications.- Expert on Industrial robot platforms (ABB IRB4600), Cobots (YuMi) simulation in ROS, and Isaac Simenvironments.- Experienced with various end-effectors, including suction cups and finger-based.- Robot manipulator teleoperation using Virtual Reality. Used for data generation for Reinforcement and imitation learning on YuMi cobot.- Synthetic data generation for vision in the loop using Isaac Sim, and ROS.
  • University Of Michigan Medical School
    Postdoctoral Research Fellow
    University Of Michigan Medical School Jan 2021 - Mar 2021
    Ann Arbor, Mi, Us
    - Detecting Chronic Obstructive Pulmonary Disease in CT-Scan Images.- Funded by the National Institutes of Health (NIH).- Utilizing Deep Learning based methods for predicting COPD in chest scan images.
  • Lamar University
    Postdoctoral Researcher
    Lamar University Jun 2020 - Jan 2021
    Beaumont, Tx, Us
  • Lamar University
    Research Assistant
    Lamar University May 2018 - May 2020
    Beaumont, Tx, Us
    - Weld Defect Detection in Dicom X-ray Images- Funded by Stanley Black and Decker Oil and Gas to save millions in weld quality evaluation- Developed a deep learning-based defect detector with Bayesian optimization using TensorFlow and Keras- Created database from scratch and pre-processing images using OpenCV, Scikit learn, etc.- Implemented using AWS S3 bucket and EC2
  • Lamar University
    Research Assistant
    Lamar University Sep 2019 - Dec 2019
    Beaumont, Tx, Us
    - Motion Analysis MOCAP system setup for RICS Lab- Implemented a VRPN for utilizing swarm robots - Implemented 5 path planning demos for RICS Lab. using open-source drones, Crazyflies
  • Lamar University
    Research Assistant
    Lamar University Mar 2017 - Apr 2018
    Beaumont, Tx, Us
    - Real-Time Road Crack Detection and Mapping- Funded by Lamar University CICE, to save billions in the maintenance of national pavements- Developed and optimized deep learning-based classification for 13 classes of cracks- Implemented a heuristic mapping algorithm for mapping classified cracks- Implemented on both vehicle and drone platforms
  • Lamar University
    Research Assistant
    Lamar University Jan 2016 - Apr 2017
    Beaumont, Tx, Us
    - An Aquatic Robot for Lionfish Remediation with Deep Learning Object Tracking- Applied Recurrent Neural Network to recognize Lionfish- Implemented RCNN on open-source robot, OpenROV, to detect invasive species using MATLAB
  • Ferdowsi University Of Mashhad
    Electrical Engineer
    Ferdowsi University Of Mashhad Apr 2009 - Nov 2011
    Mashhad, Razavi Khorasan, Ir
    - 3-PSP Parallel Robot with Fuzzy Force Controller- Designed and developed a high precision parallel robot (3-PSP) for manufacturing and research purposes- Patented by Iranian patent organization under 54380/IRI.

Mahdi Naddaf Skills

Engineering C++ C Matlab Algorithms Robotics Electronics Programming Latex Research Simulations Signal Processing Microsoft Office Product Development Simulink Microsoft Excel Labview Python Lean Manufacturing Solidworks Machine Learning Image Processing Microcontrollers Sensors Electrical Engineering Arduino Linux Microsoft Word Microsoft Powerpoint Altium Designer Deep Learning Opencv Raspberry Pi Xilinx Ise Tensorflow Scikit Learn

Mahdi Naddaf Education Details

  • Lamar University
    Lamar University
    Electrical And Electronics Engineering
  • University Of Southampton
    University Of Southampton
    Artificial Intelligence

Frequently Asked Questions about Mahdi Naddaf

What company does Mahdi Naddaf work for?

Mahdi Naddaf works for Enrisk

What is Mahdi Naddaf's role at the current company?

Mahdi Naddaf's current role is Research Scientist | Robotics, and Machine Learning.

What is Mahdi Naddaf's email address?

Mahdi Naddaf's email address is ma****@****ail.com

What schools did Mahdi Naddaf attend?

Mahdi Naddaf attended Lamar University, University Of Southampton.

What skills is Mahdi Naddaf known for?

Mahdi Naddaf has skills like Engineering, C++, C, Matlab, Algorithms, Robotics, Electronics, Programming, Latex, Research, Simulations, Signal Processing.

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