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プロフィール詳細

プロジェクトを作成

★★★★★

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Dr. Sedar O.に依頼

United Kingdom

Senior Research Scientist in Data Analytics and AI | Simulations, Cloud Computing and Modelling

プロフィール概要

I’m a multidisciplinary computer scientist and research leader with over a decade of experience developing real-time AI systems, digital twins and behavioural simulations that turn complex data into actionable insight. My background bridges academia and industry — from earning a PhD with The Alan Turing Institute and the University of Leeds, to leading innovation projects at Fujitsu Research Europe and Accenture.

At Fujitsu, I specialise in agent-based simulation, reinforcement learning and digital twin development — applying these methods to domains such as electric vehicle infrastructure, city planning and legal text automation. My work has underpinned flagship projects including India’s national EV data-sharing platform (ZEV-EM-I), the Social Digital Twin for micromobility in Norwich, and retrieval-augmented systems for structured knowledge extraction. I’m also the inventor on several patents in simulation, infrastructure optimisation and AI-driven modelling, and was honoured with the Fujitsu CEO Annual Achievement Award for technical innovation.

Earlier in my career, I helped design the first digital twin of the Lloyd’s of London specialty insurance market during my time with Accenture and Ki Insurance — pioneering simulation capabilities that inform market-wide exposure management strategies. In academia, I built models for policing demand, environmental sustainability and housing markets, while teaching and mentoring over 150 students in data analytics, programming and geospatial modelling at the University of Leeds.

Alongside my research career, I founded phdadvice.com — a 1-to-1 coaching platform helping aspiring PhD candidates write research proposals, prepare for supervisor meetings and navigate the journey from application to PhD completion.

My work sits at the intersection of technology, data and decision-making. Whether simulating cities, modelling behaviours or guiding the next generation of researchers, I’m driven by curiosity.

専門分野

サービス

Writing
Research
Consulting
Data & AI
Product Development

Writing Technical Writing, Newswriting, General Proofreading & Editing

Research User Research, Gap Analysis, Scientific and Technical Research

Consulting Digital Strategy Consulting, Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Big Data Analytics, Data Processing, Data Insights

Product Development Formulation, Reverse Engineering

職務経験

Senior Research Scientist

Fujitsu Research Institute

5月 2023 - 現在

学歴

Doctor of Philosophy (Ph.D)

University of Leeds

9月 2018 - 1月 2023

Masters in Science in Computer Science (MSci)

King's College London

9月 2014 - 5月 2018

認定資格

Managing Software Architecture

University of Cambridge
https://badges.parchment.eu/public/assertions/O-6VwbeYSTOkYmXNPp_XnQ
3月 2026 - 現在

出版物

CONFERENCE PAPER

Sedar Olmez, Maxim Smilovitskiy, Iris Fermin, Sven van den Berghe (2025). Generating Synthetic Populations Without Borders: A Geographically Independent Approach .

JOURNAL ARTICLE

Maxim Smilovitskiy, Sedar Olmez, Paul Richmond, Robert Chisholm, Peter Heywood, Alvaro Cabrejas, Sven van den Berghe, Sachio Kobayashi (2025). FLAME-GPU for Traffic Systems: A Scalable Agent-Based Simulation Framework . Systems.

S Olmez, A Ahmed, K Kam, Z Feng, A Tua(2024). Exploring the Dynamics of the Specialty Insurance Market Using a Novel Discrete Event Simulation Framework: A Lloyd's of London Case Study . Journal of Artificial Societies and Social Simulation. 27. (2). SimSoc Consortium

S Olmez, D Birks, A Heppenstall, J Ge(2024). Learning the rational choice perspective: A reinforcement learning approach to simulating offender behaviours in criminological agent-based models . Computers, Environment and Urban Systems. 112. (102141). Elsevier

S Olmez, A Heppenstall, J Ge, C Elsenbroich, D Birks(2024). Mitigating housing market shocks: an agent-based reinforcement learning approach with implications for real-time decision support . Journal of Simulation. Taylor and Francis

Sedar Olmez, Jason Thompson, Ellie Marfleet, Keiran Suchak, Alison Heppenstall, Ed Manley, Annabel Whipp, Rajith Vidanaarachchi(2022). An Agent-Based Model of Heterogeneous Driver Behaviour and Its Impact on Energy Consumption and Costs in Urban Space . Energies. 15. (11). MDPI

Sedar Olmez, Jason Thompson, Ellie Marfleet, Keiran Suchak, Alison Heppenstall, Ed Manley, Annabel Whipp, Rajith Vidanaarachchi (2022). An Agent-Based Model of Heterogeneous Driver Behaviour and Its Impact on Energy Consumption and Costs in Urban Space . Energies.

Sedar Olmez and Daniel Birks and Alison J. Heppenstall(2022). Learning Complex Spatial Behaviours in ABM: An Experimental Observational Study. ArXiv. abs/2201.01099.

Sedar Olmez, Liam Douglas-Mann, Ed Manley, Keiran Suchak, Alison Heppenstall, Dan Birks, Annabel Whipp(2021). Exploring the Impact of Driver Adherence to Speed Limits and the Interdependence of Roadside Collisions in an Urban Environment: An Agent-Based Modelling Approach . Applied Sciences. 11. (12). MDPI

Sedar Olmez, Liam Douglas-Mann, Ed Manley, Keiran Suchak, Alison Heppenstall, Dan Birks, Annabel Whipp (2021). Exploring the Impact of Driver Adherence to Speed Limits and the Interdependence of Roadside Collisions in an Urban Environment: An Agent-Based Modelling Approach . Applied Sciences.

BOOK CHAPTER

Sedar Olmez, Sachio Kobayashi (2025). Optimising Urban Electric Vehicle Charging Infrastructure: A Spatial Modelling Approach for Fleet Operators with Case Studies in Mumbai and Delhi .

DATA SET

Sedar Olmez (2022). Synthetic Data for Article: Alleviating Housing Market Shocks in Real-Time: an Agent-Based Reinforcement Learning Approach .

Sedar Olmez (2022). Agent-Based Reinforcement Learning Model of Burglary (ARLMB) datasets for article: Learning the Rational Choice Perspective: A Reinforcement Learning Approach to Simulating Offender Behaviours in Criminological Agent-Based Models .

Olmez, Sedar and Heppenstall, Alison(2021). Drive Cycle Data from the 3D Urban Traffic Simulator (ABM) in Unity (version 1.1.0) . figshare

RESEARCH TOOL

Olmez, Sedar(2022). An Agent-Based Reinforcement Learning Model of Burglary (ARLMB) . Zenodo. Zenodo

{Sedar Olmez} and Suchak, Keiran(2022). Energy Calculation Extension for the article: An Agent-Based Simulation of Heterogeneous Driver Behaviour and its Impact on Electric Energy Consumption in Urban Space . Code Ocean. Code Ocean

PREPRINT

Sedar Olmez, Jason Thompson, Ellie Marfleet, Keiran Suchak, Alison Heppenstall, Ed Manley, Annabel Whipp, Rajith Vidanaarachchi (2022). An Agent-Based Model of Heterogeneous Driver Behaviour and Its Impact on Electric Energy Consumption in Urban Space .

SOFTWARE

{Sedar Olmez}(2022). SedarOlmez94/Pythonic_UK_Housing_Market_ABM_2022: UK Housing Market Model 2022 . Zenodo. Zenodo

OTHER

Sedar Olmez, Dan Birks, Alison Heppenstall(2022). Learning Complex Spatial Behaviours in ABM: An Experimental Observational Study.

Sedar Olmez, Jason Thompson, Ellie Marfleet, Keiran Suchak, Alison Heppenstall, Ed Manley, Annabel Whipp, Rajith Vidanaarachchi(2022). An Agent-Based Model of Heterogeneous Driver Behaviour and Its Impact on Electric Energy Consumption in Urban Space . 202204.0300.v1MDPI

Olmez, Sedar, Whipp, Annabel, Marfleet, Ellie, Thompson, Jason, Suchak, Keiran, Heppenstall, Alison, Vidanaarachchi, Rajith Towards Modelling Energy Demand of Vehicles in Cities: An Agent-Based Method .

WORKING PAPER

An Agent-Based Model of Heterogeneous Driver Behaviour and Its Impact on Electric Energy Consumption in Urban Space .

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