Skip to content
View koo-ec's full-sized avatar
🏠
Working from home
🏠
Working from home

Block or report koo-ec

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
koo-ec/README.md

✨ Welcome to My GitHub Profile


Koorosh Aslansefat is an Assistant Professor of Computer Science and a member of the Dependable Intelligent System Group (DEIS) at the University of Hull. He received the M.Sc. degree in control engineering from Shahid Beheshti University, Tehran, Iran, in 2014. He got a fellowship with Grant No. 723764 for the EU H2020 project entitled: GO0D MAN (aGent Oriented Zero Defect Multi-stage mANufacturing) from 2016 to 2018. In 2018, he got a Studentship Award from EDF Energy R&D UK to do a PhD at the University of Hull and have an industrial collaboration with EDF Energy for a project entitled: DREAM (Data-driven Reliability-centred Evolutionary Automated Maintenance for Offshore Wind Farms). In his PhD career, he managed to get the IET Leslie H. Paddle Award for being an Outstanding Researcher for his research works on Real-time dependability evaluation and the DREAM project. In 2021, he became a Research Associate and as a named researcher got a fellowship with Grant No. 101017258 for another EU H2020 project entitled: (SESAME) Secure and Safe Multi-Robot Systems. In this position, he managed to get an Post-Doctoral Enrichment Award from the Alan Turing Institute for his innovative research on safety evaluation of machine learning known as SafeML. Koorosh Aslansefat is internationally renowned for innovative research on the engineering of dependable systems that includes real-time dependability analysis of complex systems and safety assurance of machine learning algorithms. His main research interests are in artificial intelligence safety and explainability, Markov modelling, performance assessment, optimization, stochastic modelling, and runtime dependability evaluation.

⚗️ Current Research Projects

SafeML SafeNN SafeDrones HDFT
AI safety, machine learning safety, deep learning safety, SafeML, SafeAI, SafeDL Neural Network Safety Dependability reliability explainability interpretability, AI safety Drones Safety, UAV Safety, UAV reliability, flying cars dependability Dynamic Fault Tree

Contributions


You can find my profile at Kaggle.

Social Media

Koorosh Aslansefat Linkedin Gmail Badge Twitter

Experiences

Python LaTeX Markdown NumPy Pandas Plotly scikit-learn SciPy Google Cloud Anaconda Keras PyTorch TensorFlow W&B Kaggle

github-snake

Pinned Loading

  1. ECDF-based-Distance-Measure ECDF-based-Distance-Measure Public

    A set of functions for well-known Cumulative Distribution Function (CDF)-based distance measure

    MATLAB 13

  2. ISorokos/SafeML ISorokos/SafeML Public

    Exploring techniques for estimating safety of machine learning classifiers

    Jupyter Notebook 74 19

  3. Dependable-Intelligent-Systems-Lab/SafeDrones Dependable-Intelligent-Systems-Lab/SafeDrones Public

    Reliability_Multirotor_Drones

    Jupyter Notebook 11 1

  4. n-akram/TimeSeriesSafeML n-akram/TimeSeriesSafeML Public

    SafeML based metrics for time series predictions

    Jupyter Notebook 2 1

  5. Dependable-Intelligent-Systems-Lab/xwhy Dependable-Intelligent-Systems-Lab/xwhy Public

    Explaining black boxes with a SMILE: Statistical Mode-agnostic Interpretability with Local Explanations

    JavaScript 10 3

  6. Fault_Tree_Simulink Fault_Tree_Simulink Public

    MATLAB Simulink Based Fault Tree Analyzer

    MATLAB 10 2