Imran Mahmood Qureshi Hashmi

• Principal AI/ML Research Scientist and technical leader with 15+ years building and shipping production agentic AI systems, multi-agent LLM orchestration, end-to-end machine learning pipelines, and GPU-accelerated simulation platforms.
• Architect of BEAST — tensor-oriented ABM framework (PyTorch/CUDA) scaling to 10⁶ agents on single GPU, Best Paper ANNSIM 2024.
• Spearheads agentic AI at Fujitsu Research Europe: real-time autonomous agent workflows, LLM fine-tuning, evaluation pipelines, and data processing at scale using LangChain, CrewAI, and Google ADK.
• Contributing researcher on decentralised sovereign multi-agent collaboration protocol.
• Founded and directed Crimson consultancy delivering 20+ projects across 6 sectors as PI.
• Researcher, University of Oxford, Department of Computer Science (AI & ML Group).
• Associate Editor, SIMULATION: Transactions of SCS. IEEE Senior Member. 55+ peer-reviewed publications, 1,100+ citations.
• PhD, KTH Royal Institute of Technology / Swedish Defence Research Agency (FOI).
• ILR holder, UK.

• Associate Editor, SIMULATION: Transactions of The Society for Modelling and Simulation International (2020–present)
• Vice President of Education, Society for Computer Simulation International (2020–2023)
• IEEE Senior Member | ACM / SIGSIM Member | WSC Programme Committee
• Senior Area Chair, AI for ABM at ICRL
• Senior Research Fellow, Institute of New Economic Thinking (INET), Oxford (2022–present)
• Member, MRC Biostatistics Unit, University of Cambridge (2024–present)
• Visiting Fellow, Oxford Centre for Islamic Studies (2024–present)
• Invited Webinar, MIDAS 2025: Exploring Gene Drive Dynamics Using ABM
• Workshop presenter, MRC Biostatistics Unit, University of Cambridge (December 2024)

• Turing AI Fellowship: 'The Large Agent Collider', Postdoctoral Researcher, UKRI & Alan Turing Institute, 2022
• STAMINA - Predictive Modelling & Visual Analytics for Pandemics, Research Fellow, EU Horizon 2020, 2020-2021
• HiDALGO - HPC & Big Data Technologies for Global Systems, Research Fellow, EU Horizon 2020, 2019-2021
• VECMA - Verified Exascale Computing for Multiscale Applications, Research Fellow, EU Horizon 2020, 2019-2021
• ACUTE - AI Agent-Based COVID-19 Simulation Framework, Principal Investigator, NUST, 2020
• Household Water Simulation (Hybrid Approach), Principal Investigator, US-Pakistan CASW, 2018-2019
• Electricity Generation & Consumption Forecasting (System Dynamics), Principal Investigator, US-Pakistan CASE, 2016-2017
• Maternal-Aid: Smart Non-Invasive Fetal Analysis & Diagnosis, Principal Investigator, NUST Seed Grant, 2019-2020
• Dengue Epidemic Surveillance, Modelling & Response, Lead Researcher, National ICT R&D Fund, UET, 2013-2014
• FeAman: Fetal Monitoring to Prevent Miscarriages, Principal Investigator, ICT R&D Grassroots, 2017-2018
• Muawin: Smart Nutrition Monitoring for Chronic Dialysis Patients, Principal Investigator, ICT R&D Grassroots, 2018-2019
• Smart Waste Management (IoT), Principal Investigator, ICT R&D Grassroots, 2017-2018
• Emergency Evacuation Training using Virtual Reality, Principal Investigator, ICT R&D Grassroots, 2017-2018
• Modelling V/UHF RF Propagation in Maritime Environment, Principal Investigator, ICT R&D Grassroots, 2018-2019

• Best Paper Award, ANNSIM 2024, Gene Drive Mosquito Dynamics via ABM, Washington D.C.
• Teaching Recognition Scheme Fellow, Higher Education Accreditation, University of Oxford Centre for Teaching & Learning, 2023
• Best Teacher in Software Engineering, NUST, 2017-2018
• Star Researcher Award, NUST, 2017
• 6th Place, Microsoft Imagine Cup Finals, Seattle USA, 2018
• PhD Scholarship, Higher Education Commission of Pakistan, 2008-2013
• Dean's Honour List, CGPA 4.00 - BCS (Hons) Computer Science, UMT Lahore, 1998-2000
• 3 Patents Filed

IPO-5852019 (Fetal Analysis)
IPO-7082019 (Dialysis Nutrition)
IPO-2432020 (Water Monitoring)

Professional Certificates

• NVIDIA Deep Learning Institute - Robotics Learning Track, Isaac Sim, Robot Perception, Edge Inference, in progress, 2026
• Building LLMs for Production, Towards AI, 2024
• AI Core: Using OpenAI for Commercial Applications Bootcamp, 2023
• IBM Artificial Intelligence and Machine Learning, 2023
• IBM Data Science and Analytics, 2022

• Associate Editor, SIMULATION: Transactions of The Society for Modelling and Simulation International, 2020-present
• Vice President of Education, Society for Computer Simulation International, 2020-2023
• IEEE Senior Member
• ACM / SIGSIM Member
• WSC Programme Committee
• Senior Area Chair, AI for ABM at ICRL
• Senior Research Fellow, Institute of New Economic Thinking (INET), Oxford, 2022-present
• Member, MRC Biostatistics Unit, University of Cambridge, 2024-present
• Visiting Fellow, Oxford Centre for Islamic Studies, 2024-present
• Invited Webinar, MIDAS 2025: Exploring Gene Drive Dynamics Using ABM
• Workshop presenter, MRC Biostatistics Unit, University of Cambridge, December 2024

Journals

• Edeling, Arabnejad, Sinclair, Suleimenova, Gopalakrishnan, Schulze,Sef, Mahmood et al. The Impact of Uncertainty on Predictions of the CovidSim Epidemiological Code. Nature Computational Science 1, 128–135 (2021).
• Mahmood, Wickramasooriya, Calinescu, Bailey, Lanzaro, Farmer, Wooldridge. Modelling the Impact of Gene Drive Mosquito Releases in Natural Environments. Nature Communications (submitted, 2025).
• Kanwal, Saeed, Javed, Mahmood et al. Sustainable Vehicle-Assisted Edge Computing for Big Data Migration in Smart Cities. IEEE Internet of Things Journal (2021). IF: 9.5.
• Schweimer, Huntingford, Mahmood et al. A Route Pruning Algorithm for an Automated Geographic Attrition Model. Nature Scientific Reports (2021).
• Mahmood et al. Modelling, Simulation and Forecasting of Wind Power Plants using an Agent-Based Approach. Journal of Cleaner Production (2020). IF: 7.2.
• Mahmood et al. An Integrated Modelling, Simulation and Analysis Framework for Engineering Complex Systems. IEEE Access (2019). IF: 4.1.
• Mahmood et al. FACS: A Geospatial Agent-Based Simulator for Analysing COVID-19 Spread and Public Health Measures. Journal of Simulation (2020).
• Mahmood et al. A Hierarchical Multi-Resolution Agent-Based Model for Household Electricity Demand Profile. SIMULATION: Transactions of the Society for Modelling and Simulation International (2019).
• Saleem, Mahmood et al. A WEAP-Based Framework for Long-Term Prediction of Urban Water Demand and Supply. SIMULATION: Transactions of SCS (2018).
• Mahmood et al. Modelling and Clustering of Residential Electricity Consumption for Short-Term Forecasting Using SARIMA. Global Energy Interconnection (2025, in press).

Conferences

• Wickramasooriya, Mahmood et al. Exploring the Dynamics of Gene Drive Mosquitoes Using Agent-Based Modelling. ANNSIM 2024, Washington D.C. [Best Paper Award]
• Anastasiadis, Groen, Suleimenova, Abramson, Mahmood et al. P-FLEE: An Efficient Parallel Algorithm for Simulating Human Migration. IEEE IPDPS 2021 (CORE A-rank), Portland.
• Mahmood, Suleimenova, Arabnejad, Groen et al. An Agent-Based Multiscale Simulation of Forced Migration: South Sudan Case Study. ICCS 2020 (CORE A-rank), Amsterdam.
• Mahmood et al. Analysing Emergency Evacuation Strategies for Mass Gatherings Using Agent-Based Simulation: Hajj Scenario. ACM SIGSIM PADS 2017, Singapore.
• Mahmood, Ayani, Vlassov, Moradi. Verifying Dynamic Semantic Composability of BOM-Based Composed Models Using Coloured Petri Nets. IEEE/ACM PADS 2012, Zhangjiajie.