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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

Koorosh Aslansefat's Projects

awesome-llm-explainability icon awesome-llm-explainability

A curated list of explainability-related papers, articles, and resources focused on Large Language Models (LLMs). This repository aims to provide researchers, practitioners, and enthusiasts with insights into the explainability implications, challenges, and advancements surrounding these powerful models.

awesome-llm-safety icon awesome-llm-safety

A curated list of security-related papers, articles, and resources focused on Large Language Models (LLMs). This repository aims to provide researchers, practitioners, and enthusiasts with insights into the security implications, challenges, and advancements surrounding these powerful models.

cnn-explainer icon cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

drwhy icon drwhy

DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.

examples icon examples

Example Data Packages for use in tutorials

ga_adv icon ga_adv

Fooling Convolution Neural Network into predicting whatever you want 👻

gitsocial icon gitsocial

Add social media icons to your GitHub README files.

langchain icon langchain

⚡ Building applications with LLMs through composability ⚡

lime icon lime

Lime: Explaining the predictions of any machine learning classifier

n4m-examples icon n4m-examples

Repository of examples using Node For Max authored by Cycling '74

safeml icon safeml

Exploring techniques for estimating safety of machine learning classifiers

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