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Justyna Zander          

High-Tech Innovation, AI & Autonomous Systems Expert

Dr. Justyna Zander is a renowned expert in artificial intelligence and autonomous systems, with over 22 years of groundbreaking innovation. She has scaled multiple teams and holds 18 approved patents alongside more than 50 publications. Her contributions have earned her over 20 prestigious science and engineering awards, with recognition from IEEE and NIST for her role in shaping industry standards. A tri-citizen and multilingual professional, Dr. Zander is a frequent keynote speaker and was named among Business Insider's Most Powerful Women Engineers. She also received the SWE Global Leader Award for her exceptional technical expertise and leadership in automotive software.

Dr. Zander's career includes over five years with NVIDIA Autonomous Vehicles, where she advanced autonomous driving technologies. Prior to this, she worked at Ford Motor Company, focusing on scaling and automating vehicle software to enable safe fleet deployment. Her professional journey also includes roles at Intel, MathWorks, the White House, the German car industry, and Fraunhofer Institutes.

Academically, Dr. Zander earned two bachelor's degrees, a master's degree, and a PhD in Germany, followed by a postdoctoral fellowship at Harvard University in the United States. She has filed for approximately 40 patents, published three books, coauthored around 40 scientific papers, and reviewed nearly 1,000 academic publications on AI computation, simulation, model-based testing, and embedded systems design.

Dr. Zander's influence extends beyond academia into governmental advisory roles, providing strategic insights for organizations like NSF, the European Commission, and national research councils. She serves on multiple steering committees for international conferences and continues to shape the future of AI through her research, publications, and thought leadership.

Speech Topics

The Future of AI and Generative AI: Applications, Market Trends, and Innovations

Explore how AI and generative AI are transforming industries, focusing on practical applications and growth opportunities. Key highlights include:

  • Advancements in generative AI for automotive robotics, autonomous driving, and advanced simulation technologies.
  • Market trends driving investment in AI-powered applications and tools.
  • Use cases such as optimizing robotics in manufacturing and enabling seamless interaction in autonomous systems.
  • The role of generative AI in accelerating innovation through rapid prototyping and real-time decision-making.
  • Integration of AI into scalable applications like smart vehicles, predictive maintenance, and digital assistants.
  • Companies use cases include: Google, xAI, OpenAI, Meta, Anthropic, DeepSeek, NVIDIA, etc.

Learn how businesses can capitalize on AI advancements, leverage generative AI to stay competitive, and develop products that redefine customer experiences in high-tech industries.

Autonomous Machines and Vehicles: Driving the Future of Mobility and Automation

Delve into the latest advancements shaping autonomous machines and vehicles. This session covers:

  • Developments in self-driving vehicles, robotaxis, and ADAS (Advanced Driver Assistance Systems).
  • Simulation and synthetic data's role in improving safety and performance.
  • Trends in sensor integration, edge AI, and connectivity for autonomous systems.
  • Compliance and technical considerations for global deployment of automated solutions.
  • Applications in urban mobility, logistics, and autonomous robotics in factories.
  • Companies use cases include: Tesla, Waymo, NVIDIA, Baidu, Zoox, Figure AI, etc.

Learn how autonomous systems are revolutionizing industries, from transportation to manufacturing, with practical insights on the road ahead.

Synthetic Data and AI Simulation: Enabling Scalable Innovation for AI

Understand how synthetic data and AI simulation unlock new possibilities for AI innovation. Key points include:

  • Using simulation to design and test AI-driven systems in automotive robotics and autonomous machines.
  • Synthetic data’s role in addressing data scarcity and improving machine learning models.
  • How digital twins streamline development in robotics, automated driving, and semiconductors.
  • Practical examples of simulation in product design, safety testing, and system optimization.
  • Scalability benefits for AI-based systems across industries like automotive and high-tech manufacturing.

This session reveals how simulation and synthetic data transform workflows and accelerate development in the most demanding industries.

Semiconductors and Data Centers: Powering the AI Revolution

Explore how semiconductors and data centers are enabling the AI and robotics revolution. Topics include:

  • Innovations in custom silicon for AI workloads in automotive robotics and data centers.
  • Advanced processing units (GPUs, TPUs) for generative AI, automated driving, and real-time applications.
  • Data center scalability to meet AI-driven computational demands in autonomous systems.
  • Low-latency architectures enabling robotics, self-driving vehicles, and simulation.
  • Trends in AI-specific hardware and edge computing for high-performance applications.
  • Use cases include: NVIDIA, Intel, Google, Tesla, xAI, OpenAI, etc.

Learn how these technologies and investment of the level of $500B serve as the backbone for AI advancements and power next-generation autonomous systems.

Global Leadership in High-Tech Industries: Resilience and Innovation Strategies

Discover what it takes to lead in an era of rapid technological advancement. Focus areas include:

  • Navigating trends in AI, robotics, and autonomous driving to drive organizational growth.
  • Strategies for fostering innovation in high-tech sectors, including semiconductors and data centers.
  • Leading global teams to develop cutting-edge solutions in automation and autonomous systems.
  • Resilience-building techniques to adapt to disruptive market changes and new technologies.
  • Case studies from industries integrating AI and robotics to stay ahead of the curve.
  • Use cases from: NVIDIA, Tesla, xAI, OpenAI, etc.

This session provides actionable strategies to lead and innovate effectively in today’s global high-tech environment.

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