Join us for our 26th Virtual ICE Conference, where Scania, NMC (Nissan Motorsport), and R&D CFD will present their experiences and achievements from their recent research and in-cylinder simulation activities. This will be complemented by presentations from Siemens Product Management and In-Cylinder Consultant on the recent and future capabilities of Simcenter STAR-CCM+ In-Cylinder solution.
As the automotive industry navigates the transition to electrification, internal combustion engines (ICEs) remain a critical component of global mobility. This ICE Conference explores how in-cylinder CFD simulation is empowering automotive OEMs to rethink their powertrain strategies, balancing the evolution of ICE technologies alongside electric vehicles (EVs).
You’ll discover how predictive CFD modeling helps engineers tackle complex combustion phenomena, reduce emissions, and meet evolving regulatory standards like EU7. Learn about cutting-edge research in dual-fuel engines, hydrogen direct injection, e-fuels, and methanol retrofits for marine applications. Hear how leading automotive OEMs are reassessing their powertrain portfolios, using simulation to extend ICE viability.
Join experts from Siemens and leading automotive manufacturers to discover how simulation is driving innovation in combustion system development, enabling faster, more accurate, and more sustainable engine designs.
Warren Seeley, Siemens Digital Industries Software - “Welcome & introduction”
Luca Dalseno, R&D Computational Fluid Dynamics - “From chemical kinetics to engine simulation and combustion”
Bastian Rabe , Otto-von-Guericke-Universität Magdeburg - “Investigation of various ignition, combustion and knock models, as well as different reaction mechanisms for a hydrogen combustion engine using Simcenter STAR-CCM+”
Tadayoshi Hoshino, NMC - “Analysis for the performance improvement design of racing car engines”
Darius Gohari, Scania CV AB - “Using STAR-CCM+ In-Cylinder Simulations for Engine Development: From Idle Combustion Stability to Heat Load Analysis”
Prof. Stefano Fontanesi, Siemens Digital Industries Software - “A comprehensive workflow for hydrogen engine simulations in Simcenter STAR-CCM+”
Alexandros Panagoulias, Siemens Digital Industries Software – “New and upcoming capabilities of Simcenter STAR-CCM+ In-Cylinder Solution”
Panel discussion and Q&A
Warren Seeley, Siemens Digital Industries Software – “Closing remarks”

Director, Fluids & Thermal Business Development
L’Ing. Warren Seeley è attualmente Director for Business Development for Fluids & Thermal presso Siemens Digital Industries Software, parte di Simulation and Test Solutions. Vive a Detroit e vanta più di 25 anni di esperienza nello sviluppo di motori e nel settore della simulazione.
Ha iniziato la sua carriera presso l'Università di Coventry nel Regno Unito, dove ha conseguito un BEng (Hons) in ingegneria meccanica prima di intraprendere un dottorato di ricerca sponsorizzato da Jaguar Land Rover e incentrato sulla simulazione In-cylinder CFD utilizzando STAR-CD.
Warren è entrato a far parte di Ford Motor Company nel Regno Unito nel 1995, dove ha iniziato come analista CFD in Engine Development. Nei successivi 18 anni ha ricoperto varie posizioni nel team Engine, tra cui CAE Technical Specialist, prima di diventare Engine Performance Development Manager responsabile sia dei test che della simulazione. È inoltre cintura nera certificata Six Sigma.
Nel 2014 Warren è entrato a far parte di Ricardo Software negli Stati Uniti per assumere il ruolo di Commercial Manager per il loro portfolio software, focalizzato sull'industria automobilistica.
Nel luglio 2017 Warren è entrato a far parte di Siemens Digital Industries Software per guidare la strategia per le soluzioni convenzionali ed e-Powertrain, principalmente con Simcenter STAR-CCM+. Da ottobre 2021 assume il ruolo di Direttore Business Development.

Senior CFD Engineer

Master’s Thesis Student

Senior CFD Engineer

Engine performance design, CFD analysis engineer

ICE Technical Expert

Technical Product Manager, In-cylinder and Fuel Cell Simulation