Events
Conferences
ASME DRIVN: The Global Transportation and Power Systems Summit
September 27 – 29, 2027
Detroit, Michigan, USA
Westin Southfield Detroit
ASME DRIVN (pronounced "driven") brings together engineers and researchers working across multiple modes of transportation, including land and sea, and encompassing all internal combustion engine (ICE) technologies and applications. ASME DRIVN is a technology-focused forum that features cutting-edge research papers, insightful technical presentations, engaging panel discussions with influential leaders, and recognition of innovators shaping the transportation landscape.
For longtime ICE Forward participants, much will feel familiar. You can continue submitting your work to the technical tracks you know and value. At the same time, ASME DRIVN expands the technical program to include electrification, safety, life-cycle analysis, and other emerging and established transportation topics, reflecting the evolving needs of modern mobility systems.
Webinars
Application of machine learning to CO2 capture, storage and utilization in geological reservoirs
December 10,2026
12:00 PM – 1:00 PM Eastern Time
Register: Complimentary Webinar
How can machine learning help reduce costs and improve the safety of carbon capture, utilization, and storage (CCUS)? This webinar will review research on how machine learning can accelerate the screening of CO₂ capture materials, predict how CO₂ behaves underground, and assess the storage potential of geological sites. We will also explore how these techniques can optimize injection strategies and monitor CO₂ plume migration in real time.
The webinar will close by examining two key challenges: the need for high-quality data and the difficulty of interpreting model predictions. We will discuss how hybrid approaches that combine machine learning with physical and chemical models could help bring these advances into real-world CCUS projects.
Speakers
Ramesh K. Agarwal
William Palm Professor of Engineering
Washington University in St. Louis
On Demand Webinars
AI for Next-Generation Powertrain Development: From Virtual Design to Engineering Deployment
Artificial intelligence is rapidly transforming how advanced powertrain systems are designed, analyzed, and optimized. From accelerating computational modeling and virtual engine development to enabling AI-driven engineering workflows spanning vehicle requirements to component design, emerging AI technologies are expanding capabilities across powertrain engineering. This webinar brings together experts from industry and national laboratories to discuss recent advances in the application of Artificial Intelligence (AI), Scientific Machine Learning (SciML), and Frontier AI for powertrain engineering. Presentations will highlight how these technologies are enhancing predictive simulation capabilities, reducing development time, and supporting more efficient engineering decision-making across the entire product development cycle.
Speaker Presentation(s)
Dr. Pinaki Pal's Presentation
ASME DRIVN: The Global Transportation and Power Systems Summit
September 27 – 29, 2027
Detroit, Michigan, USA
Westin Southfield Detroit
ASME DRIVN (pronounced "driven") brings together engineers and researchers working across multiple modes of transportation, including land and sea, and encompassing all internal combustion engine (ICE) technologies and applications. ASME DRIVN is a technology-focused forum that features cutting-edge research papers, insightful technical presentations, engaging panel discussions with influential leaders, and recognition of innovators shaping the transportation landscape.
For longtime ICE Forward participants, much will feel familiar. You can continue submitting your work to the technical tracks you know and value. At the same time, ASME DRIVN expands the technical program to include electrification, safety, life-cycle analysis, and other emerging and established transportation topics, reflecting the evolving needs of modern mobility systems.
Webinars
Application of machine learning to CO2 capture, storage and utilization in geological reservoirs
December 10,2026
12:00 PM – 1:00 PM Eastern Time
Register: Complimentary Webinar
How can machine learning help reduce costs and improve the safety of carbon capture, utilization, and storage (CCUS)? This webinar will review research on how machine learning can accelerate the screening of CO₂ capture materials, predict how CO₂ behaves underground, and assess the storage potential of geological sites. We will also explore how these techniques can optimize injection strategies and monitor CO₂ plume migration in real time.
The webinar will close by examining two key challenges: the need for high-quality data and the difficulty of interpreting model predictions. We will discuss how hybrid approaches that combine machine learning with physical and chemical models could help bring these advances into real-world CCUS projects.
Speakers
Ramesh K. Agarwal
William Palm Professor of Engineering
Washington University in St. Louis
On Demand Webinars
AI for Next-Generation Powertrain Development: From Virtual Design to Engineering Deployment
Artificial intelligence is rapidly transforming how advanced powertrain systems are designed, analyzed, and optimized. From accelerating computational modeling and virtual engine development to enabling AI-driven engineering workflows spanning vehicle requirements to component design, emerging AI technologies are expanding capabilities across powertrain engineering. This webinar brings together experts from industry and national laboratories to discuss recent advances in the application of Artificial Intelligence (AI), Scientific Machine Learning (SciML), and Frontier AI for powertrain engineering. Presentations will highlight how these technologies are enhancing predictive simulation capabilities, reducing development time, and supporting more efficient engineering decision-making across the entire product development cycle.
Speaker Presentation(s)
Dr. Pinaki Pal's Presentation
Speakers
Moderators
Dr. Muhsin Ameen
Group manager for the Multi-Physics Algorithms & Codes Group
Argonne National Laboratory
Dr. Le (Emma) Zhao
Senior Research Engineer Computational Modeling Team
Aramco Americas
Ziheng Pan
Senior Engineer Power Solutions Division
Robert Bosch LLC
Senior Engineer Power Solutions Division
Robert Bosch LLC
Pinaki Pal
Principal Research Scientist in the Advanced Propulsion and Power Department
Argonne National Laboratory
Principal Research Scientist in the Advanced Propulsion and Power Department
Argonne National Laboratory
Moderators
Dr. Muhsin Ameen
Group manager for the Multi-Physics Algorithms & Codes Group
Argonne National Laboratory
Dr. Le (Emma) Zhao
Senior Research Engineer Computational Modeling Team
Aramco Americas