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Automotive Testing Technology International

Automotive Testing Technology International Forum

Launched to great acclaim in 2024, the ATTI Forum will take place again at this year’s Automotive Testing Expo Europe, in conjunction with the ATTI Awards. The one-day conference will focus on the synergy between data-driven insights, advanced powertrain technologies and performance optimization in modern automotive testing.

Hosted in partnership with Automotive Testing Technology International, the show’s official publication, the forum will bring together leading experts, OEMs and industry pioneers to share insights and debate emerging trends. Attendees can expect a dynamic agenda, with expert panels, keynote sessions and interactive discussions designed to drive meaningful industry advances.

Dates for your diary

ATTI Awards: May 20, 2025
ATTI Forum: May 21, 2025

Key Topics & Themes

  1. Real-Time Data Acquisition & Analysis
    • Advanced telemetry systems for live data collection
    • Edge computing for on-site data processing during tests
    • Big data tools for identifying trends and anomalies
  2. EMC & Electronic
    • Regulatory landscape for EMC testing
    • EMC challenges in high-voltage systems and EV charging
    • Immunity, electrostatic discharge, RF, and transient testing
    • Hardware-in-the-loop testing for complex control systems
  3. Simulation & Digital Twins
    • End-to-end virtual validation of entire vehicles
    • Creating high-fidelity models and integrating real-time data
    • AI-powered algorithms simulating real-world scenarios
  4. Hydrogen & Alternative Powertrains
    • Specialized testing protocols for hydrogen storage and leak detection
    • Fuel cell stack performance and hydrogen refueling durability
    • EV battery performance and safety testing
  5. Embedded software testing
    • Standards and requirements
    • Cybersecurity
    • Real-time and edge testing
    • Applications of simulation and digital twins
The ATTI Forum serves as a communication platform and networking opportunity
The ATTI Forum serves as a communication platform and networking opportunity

Confirmed Speaker List


Evgeniy Novikov
engineering Lead
CARIAD

With over three decades of professional experience across automotive, robotics, and medical software, he specializes in automotive software integration, focusing on Cloud DevOps solutions and Agile project management.


Ahmed Ebada
professor of informatics and AI, senior product manager
BMW GroupThroughout his career, he has successfully led cutting-edge AI initiatives, scaled ML models for production and contributed to AI’s role in reshaping industries. As a startup leader, he actively drives innovation, business growth and AI-powered solutions while engaging in thought leadership and industry discussions.

Huw Davies
senior lecturer centre for future transport and cities
Coventry UniversityHis research interest is the development of the vehicle test environments and performance measures that support transport policy, standards and regulatory activity in the UK, Europe and internationally. He has worked collaboratively with transport system stakeholders in the UK, EU, the Americas, Africa and Asia – including national government, regional authorities, automotive industry, rail industry.

Pudureddiyur Venkataraman Manivannan
professor
Indian Institute of Technology MadrasHe is faculty in the department of mechanical engineering at IIT Madras, India. He has been a visiting faculty at TU Kaiserslautern, Germany; University of Nebraska, Lincoln, USA; and University of South Australia, Adelaide, Australia. He is a distinguished recipient of DAAD and Erasmus Mundus Teaching fellowships.

Stoyan Nikolov
test manager and group lead
BoschWith experience at Johnson Controls and Visteon, he has held roles in system validation, test automation, and team leadership. He previously worked at McLaren Applied Technologies on autonomous driving and connectivity projects. Stoyan applies advanced data analysis techniques, developed through his postgraduate studies in Machine Learning and AI at Columbia University, to extract actionable insights from large-scale test results and support data-driven engineering decisions at scale.
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