Ahmed Frikha

Angestellt, Senior Machine Learning Scientist, Huawei Technologies

Abschluss: Doctor of Philosophy (PhD), Ludwig-Maximilians Universität, München

Munich, Deutschland

Über mich

My work is focused on developing novel privacy-preserving machine learning methods and applying them to datasets from real-world applications. My research interests include transfer learning, meta-learning, few-shot learning, domain adaptation and generalization, continual learning, privacy-preserving data-free learning, federated learning, anomaly detection, AutoML, self-supervised learning, active learning and generative models. For more information about my research check out the Publications section, or visit my Google Scholar profile.

Fähigkeiten und Kenntnisse

C
C++
Python
PostgreSQL
SQLite
MatLab
Traffic simulation
Multi-agent simulation
Project management
Image Processing
Optimization algorithms
Genetic algorithm
Geocoding
SolidWorks
SQL
Machine Learning
Deep learning
Git
Software Development
Data Analysis
Cloud Computing
Research and Development
Linux
AWS
Computer Vision

Werdegang

Berufserfahrung von Ahmed Frikha

  • Bis heute 1 Jahr und 4 Monate, seit Feb. 2023

    Senior Machine Learning Scientist

    Huawei Technologies
  • 3 Jahre und 6 Monate, Juni 2019 - Nov. 2022

    PhD Candidate - Machine Intelligence

    SIEMENS

    - Applied research in deep learning sub-fields involving multiple data sources. - Successful application of the developed methods to multiple image, time-series and tabular datasets. - Implementation of the developed algorithms as reusable packages and filing of 10+ patents and inventions. - Automation of distributed multi-GPU training and hyperparameter tuning on the cloud. - Contribution to customer projects from different business units. - Interview, mentoring and thesis supervision of master students.

  • 5 Monate, Apr. 2022 - Aug. 2022

    Visiting Applied Scientist - Machine Learning

    Siemens Corporation USA

    - Research in meta-learning for physics-informed neural networks to accelerate simulations. - Method: Few-shot physics-informed domain adaptation via meta-operator learning.

  • 8 Monate, Okt. 2018 - Mai 2019

    Master Thesis Student - Machine Intelligence

    SIEMENS

    Title: A Meta-Learning-Based Approach for Few-Shot Anomaly Detection on Highly Unbalanced Datasets (Completed with the highest distinction: 1.0) - Development of an approach to the unexplored class-imbalanced few-shot learning problem - Validation on self-created synthetic time-series datasets and on an industrial dataset of sensor signals recorded during manufacturing

  • 4 Monate, Juni 2018 - Sep. 2018

    Working Student - AI Lab

    SIEMENS
  • 9 Monate, Okt. 2017 - Juni 2018

    Working student - Finance Innovation Lab

    SIEMENS

    - Investigation of potential uses of new technologies to optimize controlling and finance processes - Implementation of virtual assistants (chatbots) using IBM Watson and Amazon AWS

  • 7 Monate, Apr. 2017 - Okt. 2017

    Research Assistant - Individual Mobility Vehicles & Services

    TUM CREATE Ltd. Singapore

    Term Project: Processing and Generation of Transport Demand Data and Implementation of a Clustered Ride-Sharing Algorithm in an Agent-based Simulation - Big Data (mobility demand data) collection, processing, analysis, generation and visualization - Choice, modification and implementation of a dispatching algorithm to simulate different Ridesharing scenarios in an Autonomous Door-to-Door Mobility-on-Demand System

  • 2 Monate, Feb. 2017 - März 2017

    Working student - Industrial Engineering and Operational Excellence department

    Knorr-Bremse Systeme für Nutzfahrzeuge GmbH, München

    - Research on Industry 4.0 topics with a focus on production (IoT and 3D-Printing) - Improvement of a tool for the product development

  • 9 Monate, Mai 2016 - Jan. 2017

    Working student - Sales and systems department

    Knorr-Bremse Systeme für Schienenfahrzeuge GmbH, München

    - Creation and adjustment of pneumatic circuit diagrams for rail vehicles - Writing and rectifying technical documentation - Contribution to the management of delivery dates and deadlines

  • 8 Monate, Apr. 2016 - Nov. 2016

    Bachelor thesis: Multi-Objective Optimization for Commercial Vehicles

    Chair of Automotive Technology at TUM in cooperation with MAN Truck & Bus AG

    - Concept development of the portfolio planning regarding framework components - Selection of suitable multicriteria optimization algorithms - Implementation of a tool chain in Matlab, Java and an SQL database

  • 3 Monate, Okt. 2015 - Dez. 2015

    Internship in the quality management department in the customer center BMW

    Kromberg & Schubert GmbH & Co. KG

    - Development of a tool for the management of customer requirements - Planning and analysis of the integration of traceability into the production plants - Contribution to an internal audit in a production site in Slovakia

  • 3 Monate, Juni 2012 - Aug. 2012

    Internship in the manufacturing and maintenance department

    Chakira Câbles (cable manufacturer), Tunis

    - Manufacturing-related activities: milling, drilling, soldering, welding - Helping with the maintenance of production machines

Ausbildung von Ahmed Frikha

  • 3 Jahre, Juni 2019 - Mai 2022

    Computer Science

    Ludwig-Maximilians Universität, München

    Machine Learning

  • 2 Jahre und 8 Monate, Okt. 2016 - Mai 2019

    Mechanical Engineering and Management

    Technische Universität München

    Computational Intelligence, Real-Time-Systems, Systems Engineering, Modeling and Simulation (final grade: 1.3)

  • 3 Jahre und 2 Monate, Okt. 2013 - Nov. 2016

    Mechanical Engineering

    Technische Universität München

    - Automotive Engineering - Business administration

Sprachen

  • Arabisch

    Muttersprache

  • Französisch

    Muttersprache

  • Englisch

    Fließend

  • Deutsch

    Fließend

  • Spanisch

    Gut

Interessen

Electric guitar
Joggen
Behavioral Psychology

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