Germán Mora Martín, PhD
Data Scientist @ SCALAI
About
Germán Mora Martín received the B.Sc degree in Nanoscience and Nanotechnology from the Autonomous University of Barcelona (UAB), Cerdanyola del Vallès, Spain in 2017. In his B.Sc Thesis, he contributed in developing a novel high-throughput technique to optimize organic solar cells. He received the M.Sc in Physics, Specialization in Optics and Photonics, Signals and Imaging from Aix-Marseille University, Marseille, France and the M.Sc in Optics and Photonics from Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany in 2019 from Europhotonics, an Erasmus Mundus program. In his M.Sc Thesis, he contributed in the design of a flexible waveguide film for guiding light in smart objects. He joined the University of Edinburgh in February 2020 as a PhD student under the supervision of Istvan Gyongy, working on deep learning-enhanced 3D direct time-of-flight imaging. He continues since September 2023 as a Research Associate working on single-photon technologies for underwater imaging.
Spain
Terrassa
Computer Software
Oral Communication, Pattern Recognition, NumPy, Mathematics, Computer Science, Project Management, Algorithms, Image Processing, Artificial Intelligence (AI), TensorFlow, Data Analytics, OpenCV, English, SPAD, Convolutional Neural Networks (CNN), MATLAB, Computer Vision, Due Diligence, Matlab, Nanotechnology
Experience
Data Scientist
SCALAI
Terrassa, Catalonia, Spain
Research Associate: AI & Computer Vision
The University of Edinburgh
Edinburgh, Scotland, United Kingdom
• Developing an AI-based, object detection tool for 3D seafloor exploration (Python, Tensorflow). • Developing MATLAB/Python software for extraction, processing, and analysis of LIDAR sensor data.
PhD Researcher: AI & Computer Vision & LIDAR
The University of Edinburgh
Edinburgh, United Kingdom
• Developed MATLAB/Python software for the generation and processing of robust, synthetic datasets from images/videos in Unreal Engine, achieving x5 faster development of AI applications. • Developed a series of real-time AI models for AR/VR and automotive LIDAR systems using Python (Tensorflow/Keras): 1. High-speed, object detection with > 90% accuracy from image data. 2. Human action recognition with > 80% accuracy from video data. 3. Super-resolution and denoising from video data. • Collaborated in successful AI projects for 3D pose estimation from a commercial 3D sensor (published in Science Advances journal) and identification and segmentation of drones. • Negotiated and secured funding for 2 PhD projects in collaboration with Sony Group Corporation.
Internship: Technology Transfer
Edinburgh Innovations
Edinburgh, Scotland, United Kingdom
• Performed intellectual property (IP) due diligence, conducted patentability assessments, executed market analyses, and designed commercialisation strategies for novel technologies emerging from the University of Edinburgh.
Internship: Computer Vision & Data Analyst
Asset Information Services
Edinburgh, Scotland, United Kingdom
• Utilised a computer vision-based object detection algorithm (YOLOv5) to accurately quantify objects of interest from 360-degree images captured in industrial settings for asset digitisation. • Conducted data analysis with Python (Numpy, Pandas) to identify and filter 80% of duplicated objects from multiple images and different viewpoints for robust and fast asset digitisation.
Master Thesis: Optical Design Engineer
JOANNEUM RESEARCH
Weiz, Austria
• Designed, fabricated, and characterised the protoype of a flexible waveguide lighting system for smart objects using haptic and visual feedback.
Internship: Software Developer
Institut Fresnel
Marseille Area, France
• Developed a MATLAB-based, image processing software of a computational tomographic microscope (e.g. bright and dark field, phase contrast, 2D synthetic aperture) for medical image analysis.
Bachelor Thesis: Optical Sensor Development
Institut de Ciència de Materials de Barcelona (ICMAB-CSIC)
Barcelona Area, Spain
• Fabricated, characterised, and optimised full organic solar cells in a chemistry and optical laboratory for wearable electronics.
Education
The University of Edinburgh
3D Imaging Sensors
Karlsruhe Institute of Technology (KIT)
(Physics, Photonics)
Specialization in Optical Systems: Machine Vision, Optical Networks and Light Engineering. Karlsruhe School of Optics and Photonics (KSOP) student.
Aix-Marseille University
(Physics, Photonics)
Universitat Autònoma de Barcelona
(Physics, Chemistry, Biology, Electronics)
Germán Mora Martín, PhD's Contact Information
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