Ender Ozcan

Has grant

Professor of Computer Science and Operational Research

University of Nottingham

United Kingdom

Research Interests

Explore related searches

Professors in United Kingdom Professors in Artificial Intelligence Artificial Intelligence professors in United Kingdom

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Ender Ozcan is a Professor of Computer Science and Operational Research at the University of Nottingham, United Kingdom. His research areas include machine learning applications in optimization, automated timetabling, and additive manufacturing. Recent articles reflect his work on particle swarm optimization, apprenticeship learning, and deep reinforcement learning methodologies. He also explores novel cellular structures for manufacturing and interpretable graph neural networks in catalysis.

Recent Grants

Grant: Open

EPSRC and SFI Centre for Doctoral Training in Sustainable Chemistry: Atoms-2-Products an Integrated Approach to Sustainable Chemistry

Open Date: 2019-09-30

Close Date: 2028-03-30

Grant: Close

Hyper-heuristics for Routing

Open Date: 2019-05-01

Close Date: 2022-04-01

Grant: Close

Accelerated Discovery and Development of New Medicines: Prosperity Partnership for a Healthier Nation

Open Date: 2019-01-01

Close Date: 2023-12-31

Grant: Close

European industrial doctorate for efficient multidisciplinary design Optimization ofMultifunctional Aerospace Composite Structures

Open Date: 2018-05-01

Close Date: 2022-04-30

Grant: Close

European industrial doctorate for advanced, lightweight and silent, multifunctional composite structures

Open Date: 2018-03-01

Close Date: 2022-02-28

Articles (20)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Collaborators (4)

Vivek Thaminni Ramamoorthy

University of Hertfordshire

UNITED KINGDOM

View details

Andrew Parkes

University of Nottingham

UNITED KINGDOM

View details

John R. Woodward

Loughborough University

UNITED KINGDOM

View details

Michael Pound

Assistant Professor

University of Nottingham

UNITED KINGDOM

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Ender Ozcan

Research Interests

Explore related searches

Contact this professor

About

Recent Grants

Articles (20)

An effective combination of mechanisms for particle swarm optimization-based ensemble strategy

Student Surpasses the Teacher: Apprenticeship Learning for Quadratic Unconstrained Binary Optimisation

Machine learning-based algorithm selection for irregular three-dimensional packing in additive manufacturing

Machine learning-based algorithm selection for irregular three-dimensional packing in additive manufacturing

Preface: the practice and theory of automated timetabling (2022)

Preface: the practice and theory of automated timetabling (2022)

Generating new cellular structures for additive manufacturing through an unconditional 3D latent diffusion model

Generating new cellular structures for additive manufacturing through an unconditional 3D latent diffusion model

FiDRL: Flexible Invocation-Based Deep Reinforcement Learning for DVFS Scheduling in Embedded Systems

Homogeneous catalyst graph neural network: A human-interpretable graph neural network tool for ligand optimization in asymmetric catalysis

A fusion spatial attention approach for few-shot learning

Interval type-2 hesitant fuzzy Entropy-based WASPAS approach for aircraft type selection

Metaheuristics "In the Large"

Hyper-heuristic approach: automatically designing adaptive mutation operators for evolutionary programming

Hyper-heuristic approach: automatically designing adaptive mutation operators for evolutionary programming

Evolutionary algorithms for multi-objective flexible job shop cell scheduling

Evolutionary algorithms for multi-objective flexible job shop cell scheduling

Comparative Analysis of Selection Hyper-Heuristics for Real-World Multi-Objective Optimization Problems

Comparative Analysis of Selection Hyper-Heuristics for Real-World Multi-Objective Optimization Problems

Comparison of heuristics and metaheuristics for topology optimisation in acoustic porous materials

Collaborators (4)

Vivek Thaminni Ramamoorthy

Andrew Parkes

John R. Woodward

Michael Pound

Make your next move.