Dr. Abanob Soliman

Dr. Abanob Soliman

Researcher (Postdoc) in Off-Road SLAM and Advanced Perception
University of Twente – Faculty of Geo-Information Science and Earth Observation (ITC)

Department of Earth Observation Science (EOS)

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About Me

I am a dedicated ADAS Algorithm Engineer and researcher with a Ph.D. in Signal & Image Processing. My expertise spans advanced sensor fusion, automotive algorithms, and real‐time systems, and I am a Postdoctoral Researcher at the University of Twente since February 2025. I blend academic rigor with hands‑on industry experience to drive innovation in both research and application.

Curriculum Vitae

Personal Details

Professional Experience

  • Feb 2025 – Present: Postdoctoral Researcher, University of Twente – Faculty of Geo-Information Science and Earth Observation (ITC), Enschede, The Netherlands

    UT-ITC
    • Researcher (Postdoc) in Off-Road SLAM and Advanced Perception.
    • Spearheading a pioneering project in off-road SLAM and advanced perception, focusing on robust sensor fusion (lidar, camera, IMU) and semantic segmentation in forest environments.
    • Designing, implementing, and optimizing deep learning-based perception algorithms using Python, C++, PyTorch, and ROS for autonomous navigation.
  • May 2023 – Dec 2024: Algorithm Engineer, Continental Engineering Services Limited, Burgess Hill, United Kingdom

    Continental Engineering Services
    • Contributed to R&D projects with the Ultrasonics and Low‑speed Maneuvering Functions team for major Automotive and Aerospace OEMs.
    • Delivered MLC50/55/60 AUTOSAR C++14 compliant software for an automated parking solution in production at a leading British Automotive OEM.
    • Developed an IMU (Gyro/Accel/Mag) and RTK‑GPS optimization‑based sensor fusion algorithm for a drone odometry pipeline, supporting a radar mapping solution in an eCAL environment.
    • Created a novel spatio‑temporal synchronization scheme for 12 ultrasonic sensors using Genetic Algorithm optimization, validated via extensive Monte Carlo simulations.
    • Developed a Qt5/C++ plugin for SiL and HiL testing of a Short‑Range Radar (SR‑Radar) parking solution.
    • Implemented and tested a novel adaptation algorithm to interface SRR630 detections with an established parking perception pipeline using Ultrasonic Sensors (USS).
    • Developed a collision‑free USS firing pattern hashing function using MATLAB/C++, GMM, and MD5, applied to 10K+ vehicles from various OEMs.
    • Developed a transformer‑based method to generate ultrasonic sensor firing sequences on‑vehicle in real‑time.
    • Delivered technical presentations and proposals to major Automotive OEMs, including British, Indian, and American manufacturers.
  • Oct 2020 – Oct 2023: Doctoral Researcher, IBISC Laboratory – SIAM Team, Essonne, France

    IBISC Laboratory
    • Researched solutions for hybridizing multiple sensor modalities (RGB – Depth – Event cameras, IMU/GPS).
    • Teaching responsibilities: C/C++ (L2, L3), Electronic Circuits (L2), Advanced Artificial Perception, project supervision for master students.
    • Served as PhD students' representative at the lab council, supported organizing PhD students' day.
  • Feb 2020 – Sep 2020: Research Assistant – Sensor Fusion, IBISC Laboratory – MALIN Challenge, Essonne, France

    • Developed a two‑phase localization system: an optimization stage plus multi‑sensor (IMU/GPS‑camera) fusion using ES‑EKF.
  • Feb 2019 – Aug 2019: Teaching Assistant, Nile University – Computer Engineering Department, Giza, Egypt

    Nile University
    • Courses taught: Computer Systems Software, Logic Design, Embedded, Discrete Control Systems, and Computer Security.
  • Jul 2018 – Nov 2018: Embedded Systems Intern, EmbeddedFab Company, Giza, Egypt

    Valeo Company
    • Embedded software training on various architectures; driver development for industrial sensors/actuators.
    • Valeo (Egypt) Testing Academy participant (Aug 2018).

Academic Qualifications

  • Feb 2024: Lecturer Qualification No. 24261392899, Section: 61 – Computer Engineering, Automation, Signal Processing (France). Université Paris-Saclay
  • Oct 2023: Doctoral Degree in Signal & Image Processing, Université Paris-Saclay, France. Université Paris-Saclay
  • Sep 2020: Master’s in Smart Aerospace & Autonomous Systems, Université Paris-Saclay, France (GPA 16.778/20, 4.0/4.0, Rank 1st). Université Paris-Saclay
  • Jun 2018: Bachelor’s in Aerospace Engineering, Cairo University, Egypt (88.89% Honours, 4.0/4.0 US/CA). Cairo University

Funded Projects

  • Aerospace Autonomous Navigation System – Stabilization system for a quadrotor; collision avoidance & navigation (MATLAB, C++).
  • Flight Simulator (BOEING) – 6 DOF motion cueing algorithm, enhancing pilot training (C/C++, Matlab/Simulink).

Technical Skills

  • Proficient: Embedded C/C++, Python, MATLAB/Simulink, Scientific/Embedded RUST
  • Experienced: Helix QAC, Git CI/CD, GoogleTest C++, Qt5, eCAL, ROS1, ROS2
  • Familiar: JAVA, AutoSAR, DL/ML, JTAG, ARM Microcontroller SW/HW Flashing & Debugging
  • Libraries: OpenCV, Scipy, scikit-learn, PCL, Ceres, GTSAM, G2O, ORB-SLAM, CARLA
  • Platforms: Confluence, Docker, Linux, JIRA, AutoSAR Builder, DOORS Requirement Management

References

  • Alexandre Durand, Head of Business Center, Continental Engineering Services Ltd
  • Hayley Scanlon, Recruitment Business Partner, Continental Engineering Services Ltd
  • Samia Bouchafa-Bruneau, Professor, Université Paris-Saclay
  • Désiré Sidibé, Professor, IBISC Laboratory, Université Paris-Saclay

Publications

GitHub Projects

DH-PTAM

A deep hybrid stereo events-frames parallel tracking and mapping system that integrates deep learning with traditional visual SLAM for improved robustness in challenging environments.

View Repository

IBISCape

A simulated benchmark platform for robotics and vision applications, offering a versatile environment for evaluating and comparing various algorithms.

View Repository

VIO_RGB_IMU

An implementation of visual-inertial odometry that fuses RGB camera data and IMU measurements to achieve robust real-time pose estimation.

View Repository

B-splines

A repository focused on trajectory smoothing and path planning using B-spline curves, ideal for motion control and robotic navigation.

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HCALIB

A robust RGB-D and IMU calibration method that ensures accurate sensor alignment, essential for high-precision sensor fusion applications.

View Repository

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