1. Fan Noise track
1. Artifical intelligence & Machine learning
2. Prediction and optimization of cooling fan noise
3. Design for low-noise fans
4. Experimental methods for characterizing noise sources
5. Fluid-structure-acoustics interaction
6. Noise prediction by analytical/numerical models
7. Fan integration and noise prediction
8. Optimization of fan installation to reduce noise
9. Psychoacoustics & Sound quality
10. Tip gap noise of axial fans
2. Fan Aerodynamics track
1. Advancements in fan performance prediction
2. Aerodynamic design methods
3. Artificial intelligence and optimization techniques
4. Installation effects and unsteady phenomena
5. Numerical methods for design and performance analysis
3. Fan Application and Systems track
1. Case studies
2. Circulating and Ceiling Fans
3. Considerations for Future Fan-Efficiency Regulations
4. Fan system effect
5. Overview of Existing Fan-Efficiency Regulations
6. Specialized fans for niche applications

The exhibition will provide participants with the opportunity to speak with major suppliers of products and services to the fan industry. During a plenary session, exhibitors will each give a 5 minutes presentation of capability to assist participant identify those of most relevance to their business.

To get the day off to a good start, each morning will begin with a keynote lecture on a variety of interesting subjects, including:

• Machine-learning application to turbomachinery design and validation
  Lorenzo TIEGHI (Italy)
• Aeroacoustic research and noise reduction for aircraft – mechanisms, technologies, perspectives
  Prof. Jan W. DELFS (Germany)
• Planning of fluid systems towards energy efficiency by mathematical optimization
  Prof. Ulf LORENZ (Germany)

Panel sessions will be highlights of the conference. The panellists and audience will debate during 45 minutes minimum the impact these very different subjects will have on the wider fan community. The themes should be:

• Artificial Intelligence and Fans
• Consideration for future fan efficiency regulation