Agenda Showcase

-PhD with BMW and LMU concerning the validation of HBM lumbar spine injuries-Four years as a pedestrian protection engineer-Responsible for all HBM Crash simulations at BMW

Joined Toyota Motor Corporation in 2016 as an engineer on passive safety division. Responsible for development of advanced restraint system of frontal crash. Experience with hardware test and simulation including human body model and ATDs.

Biography:-2004 Dipl.-Ing. Mechanical Engineering, Technical University Ilmenau-2004 - 2012 CAE Engineer for Front and Rear Platform Seat Systems-Since 2012: - research and development of methods to increase accuracy and predictability of Crash-Simulations - Optimization and future development of process automation and data management for crash applicationsCurrent position:CAE Team lead with focus on advanced development projects and CAE method development in the field of Crash & Safety, NVH and Multi Body Dynamics.

* Since 2008: at Fraunhofer SCAI and after the Spin-off at SIDACT GmbH:Working in the field of “FEMZIP: Data compression for simulation results”* 2021 PhD: Compression of a set of simulation results* Since 05/2024 CTO at SIDACT GmbH

- Study of Mathematics at University of Stuttgart- since 2006: responsible for optimization topics at DYNAmore, development of LS-OPT

Dr Harika Tankasala is a Lead R&D Engineer in the Ansys Granta Data Products team based in Cambridge, UK. She began her career in the automotive industry as a design engineer, where she worked on developing energy-absorbing assemblies to enhance crash protection, utilizing computational modeling techniques. Following this, she spent an extensive period in academic research, specializing in Computational (Fracture) Mechanics and focusing on lightweight material systems such as lattice structures, engineering composites, and foams. Currently, at Ansys Granta, her primary focus is on enhancing the simulation readiness of material data in Granta's products.

Kai studied Material Science at Erlangen University. After different positions, including as R&D Engineer, Sales Manager and Subsidiary Leader at a well known Engineering Service Provider, he joined Ansys in 2022 as Expert for Digital Engineering and is inspiring companies to build or improve their “digital thread” and thus achieve a ROI in digital transformation.

Milan Seiler has been engaged with complex enterprise software solutions like PLM, QMS, MES and Simulation for more than 25 years now. During his career he was working among others for companies like Mentor Graphics, CONTACT Software and Siemens PLM. Now at Ansys, Milan Seiler is the product specialist for simulation and material lifecycle management, enabling customers adapting sophisticated ‘Digital Engineering’.

Christopher Woll is CEO of GNS Systems GmbH. He massively pushs the company in the business areas of CAE/HPC&AI and Cloud Computing to bring innovative solutions for virtual product development to the market. Christopher holds a Master in Computational Sciences in Engineering and studied in Braunschweig, Mannheim and Pernambuco/Brazil. As a HPC specialist and CAE-IT consultant, he continuously gathers extensive international experience in international markets at automotive OEMs, life science and chemistry. Contact: christopher.woll@gns-systems.de

• 2009-2011 – Engineering degree at the engineering school École Centrale de Lyon• 2011-2013 – Master of Science in Aeronautics at the Technical University of Berlin• Since 2013 – research scientist in the field of composite modelling and in the simulation of high-velocity events within LS-DYNA (research scientist at the department for Structural Integrity)

• Anadolu Isuzu, Team Leader- 03/2024 – Present• Anadolu Isuzu, Senior R&D Design Engineer- 10/2021 – 03/2024• Anadolu Isuzu, R&D Design Engineer- 07/2019 – 10/2021• Kässbohrer Fahrzeugwerke GmbH, R&D Design Engineer- 10/2016 – 07/2019• PhD in Mechanical Engineering, Yildiz Technical University, 2020 – 2022-Have taken a break • Master of Science in Mechanical Engineering, Kocaeli University, 2015 – 2019• Bachelor of Science in Mechanical Engineering, Yildiz Technical University, 2010 – 2015

Mazen is a PMP-certified systems engineer with a degree from INSA Toulouse engineering school. He began his career at Airbus as a systems engineer and project manager. For the past seven years, Mazen has been at Ansys, where he has held product management and product marketing roles, focusing on embedded software, safety-critical systems, AI and optimization. With a strong blend of technical expertise and strategic marketing insight, Mazen helps bridging complex engineering solutions with market-driven approaches.

Mohammad is a Senior Application Engineer working out of Ansys’ Darmstadt, Germany office. He got his PhD ins mechanical engineering in field of combustion science by investigating the influence of Hydrogen on soot particle formation from different soot precursors. He started his career in automobile industry in Germany as simulation engineer. He was responsible for different engine simulations with different tools. Afterwards he took the responsibility for whole vehicle simulation project for a gasoline fueled vehicle with Modelica and after a successful validated results the model improved to the Mild-Hybrid and finally fully electric vehicle. After many years of commercial system simulation, he joined Ansys as a system simulation engineer mainly based on his experience with Modelica. His current focus is now on system modelling and reduced order models to enable digital twin workflows.

John is looking to help our customers achieve their product design/testing ambitions by incorporating powerful and flexible cloud HPC technologies into their workflows. He has a PhD in Computational Chemistry from the University of Nottingham with a focus on GPU algorithms for molecular dynamics simulations. Passionate about HPC technologies and workflows with 10 years of HPC Infrastructure experience. Previous roles include supporting a famous UK racing team for their HPC infrastructure and the UK national supercomputer .

John is looking to help our customers achieve their product design/testing ambitions by incorporating powerful and flexible cloud HPC technologies into their workflows. He has a PhD in Computational Chemistry from the University of Nottingham with a focus on GPU algorithms for molecular dynamics simulations. Passionate about HPC technologies and workflows with 10 years of HPC Infrastructure experience. Previous roles include supporting a famous UK racing team for their HPC infrastructure and the UK national supercomputer .

Jason is a chartered mechanical engineer with over 10 years of experience working as a consultant engineer on projects in the automotive, nuclear waste disposal and offshore structure industries. He specialises in modelling, analysing and evaluating dynamic load cases on metal, and reinforced concrete structures using LS-DYNA and other solvers.He also supports the UK LS-DYNA distributer – Oasys in delivering in-person training courses, webinars, and learning labs at Oasys conferences.

Current main focus: Consulting automotive customers on single cell and battery pack structural and multi-physics simulations with LS-DYNA Other fields (all LS-DYNA related): Sheet metal forming, EM, PyAnsys, Crash, ALEPositions and Companies:Senior Application Engineer (current position), Ansys Switzerland GmbH, Zurich (2023 - Present)Simulation Engineer, DYNAmore Swiss GmbH, Zurich (2019 - 2023)Simulation and Validation Engineer, Bühler AG, Uzwil, Switzerland (2018 - 2019)Geotechnical Engineer, Dr. Heinrich Jaeckli AG, Zurich, Switzerland (2014 - 2015)Civil Engineer (Voluntary), INIGMM, Ecuador (2013)Scientific Researcher, University of Applied Sciences of Eastern Switzerland, RapperswilEducation:Master’s Degree in Civil Engineering, University of Innsbruck, AustriaBachelor of Science in Civil Engineering, University of Applied Sciences of Eastern Switzerland, RapperswilApprenticeship as an Electronic Technician, Technical College Uster / Ferag AG, SwitzerlandPerson:Swiss, currently based in Zurich

Rory graduated with a degree in Engineering from the University of Cambridge and has over 7 years of experience working with LS-DYNAusingthe Oasys Suite. He has worked on a range of projects around the world including automotive, seismic, offshore, geotechnical, structural dynamics and fatigue engineering. He has also delivered a number of Oasys training courses and webinars and is the creator behind the popular ‘Oasys Top Tips’ video series. Most recently, Rory has been focussed on enhancing the capabilities of the OasysSuiteby creating new workflow tools specifically designed to help vehicle safety engineers with their crash test workflows.

Master's in technoloyg in Mechanics and Design from Indian Institute of Technology Hyderabad, India. Over 6 years experience in simulation methods development and validation across aerospace and automobile applications. Strong expertise within advanced simulation techniques, process optimization and innovation in manufacturing processes.

PhD at ETH-Zurich at the Institute for Virtual Manufacturing. Worked at the University of Stuttgart at the Institute of Forming Technology before joining DYNAmore in early 2024. At DYNAmore he works as Lead Applications Engineer on the further development of the modeling of connectors, especially in the practice of metal forming and car crash simulations.

Diploma studies in Computational Engineering Science (Simulation Engineering) at RWTH AachenPhD in Biomechanics (with simulation application) at ETH ZurichApplication Engineer at CADFEM (Suisse) AG since January 2016Customer projects, support & training in Mechanics, linear and explicit dynamics, topology optimization, additive manufacturing

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Diploma Civil Engineering at University of Stuttgart 2010LS-DYNA User since 2011Joined DYNAmore 2019

Joined Dynardo 2006 as SoftwaredeveloperProduct manager for optiSLang since 2011Since 2019 Product manager at Ansys (Optimization/PIDO)

- Study of Mathematics at University of Stuttgart- since 2006: responsible for optimization topics at DYNAmore, development of LS-OPT