Vahid Seydi

Biography

I am a Senior Lecturer in Data Science/Data Analytics at UWE Bristol, which I joined as a Lecturer in June 2025; I was promoted in June 2026. My research sits at the intersection of mathematical machine learning theory and real-world application, across four connected areas: the mathematical foundations of generative models, trustworthy and explainable AI, AI for environmental and marine science, and reinforcement learning and optimisation. From 2020 to 2025 I was a Research Fellow in Data Science at Bangor University's School of Ocean Sciences, where I designed a digital twin for the NERC-funded ECOWind-ACCELERATE project, and I remain an Honorary Research Fellow there. Previously I was Assistant Professor and Head of the Department of Artificial Intelligence at Azad University, South Tehran Branch. I hold a PhD in Artificial Intelligence from the Science and Research University, Tehran, and in 2023 received a Global Talent Endorsement from the Royal Society. (university homepage)

Research Interests

ModelApplication

Diffusion Models (DDPM, Score-based) Stochastic Differential Equations (SDEs) Variational Autoencoders Normalizing Flows Generative Adversarial Networks

Image and Signal Synthesis Domain Adaptation Scientific Data Generation Controllable Generation

ModelApplication

Bayesian Deep Learning Uncertainty Quantification Mechanistic Interpretability Graph Neural Networks Gaussian Processes

High-stakes Decision Making Anomaly Detection Predictive Maintenance Healthcare AI

ModelApplication

Environmental Digital Twins Physics-informed Neural Networks Bayesian Optimisation Time Series Models (LSTM, GRU, Transformer)

Offshore Wind Farm Assessment Ocean and Sediment Modelling Marine Debris Detection Environmental Monitoring

ModelApplication

Deep Reinforcement Learning Actor-Critic Methods Multi-objective Bayesian Optimisation Meta-Learning

Autonomous Agents Hyperparameter Optimisation Continuous Control Systems Few-shot Learning

Academic Positions

  • Jun 2026-present

    Senior Lecturer in Data Science/Data Analytics

    School of Computing and Creative Technologies, UWE Bristol (Bristol, UK)

  • Jun 2025-Jun 2026

    Lecturer in Data Science

    School of Computing and Creative Technologies, UWE Bristol (Bristol, UK)

  • Jun 2025-present

    Honorary Research Fellow

    School of Ocean Sciences, Bangor University (Bangor, UK)

  • Sep 2020-Jun 2025

    Research Fellow in Data Science and Machine Learning

    School of Ocean Sciences, Bangor University (Bangor, UK)

    Also led Data Science modules in the School of Computer Science and Electronic Engineering (2023-2025).

  • Apr 2019-Jun 2019

    Machine Learning Expert and Data Scientist

    Pi Campus, (Rome, Italy)

  • Oct 2017-Apr 2019

    Head of Department of AI

    Azad University,South Tehran Branch, (Tehran, Iran)

  • Feb 2014-Sep 2021

    Assistant professor in AI Department

    Azad University, South Tehran Branch, (Tehran, Iran)

  • Oct 2010-Feb 2014

    Lecturer in Computer Eng. Department

    Azad University, South Tehran Branch, (Tehran, Iran)

  • Oct 2007-Jun 2010

    Research Fellowship

    KNTU, ISLAB (Tehran, Iran)

Education

  • September 2007-February 2014

    Ph.D. in Artificial intelligence

    Jobs interaction theory to train hyper-parameters of the cultural optimization algorithm.

    professor Mohammad Teshnehlab.

    GPA:

    Concentrations:

    cultural optimization algorithm, neural network, multi-agent system, derivative-free learning algorithm, feature extraction.

  • September 2005-September 2007

    M.Sc in Artificial intelligence

    multi-objective optimization to train neural networks and neuro-fuzzy systems.

    professor Mohammad Teshnehlab.

    GPA:

    Concentrations:

    multi-objective optimization, neural network and fuzzy system, combination of both derivative-base and derivative-free learning algorithms to prevent vanishing and exploding of gradient, and overfitting.

  • September 2001-July 2005

    B.Sc. in Software Engineering and Applied Mathematics

    implementation of an automation system for the dairy industry.

    GPA:

    Concentrations:

    RUP methodology,data base management, SQL, object oriented programing, designing algorithm, data structure, Java, Visual C++.

Awards

2023

Peer Review Global Talent Endorsement, Royal Society, UK

Bangor, Gwynedd, UK
2020

Research Fellowship in Data Science award form Bangor university, UK.

Bangor, Gwynedd, UK
2019

merit-based scholarship form school of AI Rome, Italy

Pi Campus, Rome, Italy
2017

Silver medal on Kaggle Competitions

Zillows Home Value Prediction, Seattle, USA

I have achieved the rank of 71 among 3779 teams (top 2%) and got one silver medal.

2014 - 2019

Excellence in Teaching Award

Azad University, Tehran, Iran

I have got more than 18 / 20 teacher assessment score in university teacher assessment system for every semester.

2010

Ph.D. scholarship

Azad University, South Tehran Branch, Tehran, Iran
2008

Research Fellowship

KNTU, Intelligence System Lab, Tehran, Iran

Multi-Objective Optimization
2007

Research Fellowship

KNTU, Intelligence System Lab, Tehran, Iran

hybrid optimization methods to train neural network and fuzzy systems

2005

Top Rank Graduated Student in B. Sc.

Azad University, Iran

Teaching

Graduate

2014present


Machine Learning

Mining of Massive Data Sets

Advanced Artificial Intelligence (Reinforcement learning and PGM)

Artificial Neural Networks

Natural Language Processing

Undergraduate

2010present


Artificial Intelligence(Search, CSP, Adversarial Search, Logic Programming)

Foundation of Programming(C / Python)

Object-Oriented Programming(Java)

formal language and automata theory

Skills

Python Java C/C++ MATLAB ProLog react

PyTorch, Keras, TensorFlow, Gensim, NLTK, NumPy, Pandas, SiKit-Learn, SciPy, Scrapy, Matplotlib, Seaborn, ...

SQL AWS cloud platform Git/GitHub Software Development

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HTML, CSS, JS LATEX Markdown Microsoft Office

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