Panels

Panel Discussion: Inverse Problems in Heat Transfer:
Insights from ICIPE 2024 - Advances in Methodology & Applications

Organized by the Computational Heat Transfer Technical Committee (K20)

This 90-minute panel discussion will explore recent advances in solving inverse heat transfer problems, with a focus on key insights from the International Conference on Inverse Problems in Engineering (ICIPE 2024), held in Brazil in June 2024. As the flagship event in the field, ICIPE brings together leading researchers and practitioners every three years to discuss the latest developments in inverse methods for engineering applications.

The panel session will highlight emerging methodologies, computational strategies, and real-world applications across industries such as thermal management of electronics, energy systems, aerospace, and non-destructive testing. The panelists, who participated in ICIPE 2024 with support from the National Science Foundation (NSF), will share their perspectives on the state of the field and future directions.

Topics of discussion will include:

• Introduction to Inverse Problems in Heat Transfer –concepts, challenges, and applications
• Key Takeaways from ICIPE 2024: Notable findings and emerging research directions
• AI/ML Techniques for Solving Inverse Heat Transfer Problems
• Physics-Informed Neural Networks (PINNs) for Heat Transfer Applications – Bridging physics-based and machine learning models
• Applications and Case Studies

This session will provide valuable insights for researchers, engineers, and practitioners working in heat transfer, computational modeling, and related fields.

 

Presenters/Panelists

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Panel Discussion: AI/ML Applications for High Performance and Resilient Buildings and Cities

Organized by: ASME Journal of Engineering for Sustainable Buildings and Cities

As the urgency to create high-performance buildings and resilient and healthy urban environments grows, artificial intelligence (AI) and machine learning (ML) are emerging as powerful tools for optimizing building performance, enhancing energy efficiency, and informing data-driven urban planning. This panel brings together leading experts from academia and industry to explore the latest advancements in AI/ML applications for high-performance and resilient buildings and cities.

Discussions will cover a range of critical topics, including predictive energy modeling, AI-driven optimization of HVAC and building controls, smart grid integration, climate-adaptive energy infrastructure planning, and the role of digital twins in improving building operation as well as energy performance.

Panelists will also address key challenges such as data availability, scalability, and the practical implementation of AI-driven solutions in the built environment.

Attendees will gain insights into how AI and ML are shaping the future of energy efficient and resilient urban development and the opportunities for interdisciplinary collaboration in driving innovation at the intersection of technology, engineering, and environmental science.

The Panel will be proceeded by a Special Issue on the ASME Journal of Sustainable Buildings and Cities.

Panelists:

Troy Harvey, CEO and Co-Founder, PassiveLogic
Bian Freeman, Lead Data Scientist, Trane Technologies
Hohyun Lee, Professor and Department Chair, San José State University
Juan Pablo Montoya-Rincon, Postdoctoral Associate, University at Albany

Moderator: Hamidreza Najafi, Associate Professor, Florida Institute of Technology