1) Data-driven approaches for in-line monitoring of particle attributes in chemical and pharmaceutical manufacturing processes (<a href="https://bit.ly/2WQmK95">https://bit.ly/2WQmK95</a>) <br />
2) Hybrid data-driven and first principles models for crystal nucleation and growth (<a href="https://bit.ly/2YWAKRu">https://bit.ly/2YWAKRu</a>) <br />
3) Detecting and characterising airborne microplastics and asbestos fibres through Machine Learning (<a href="https://bit.ly/2Wo8Goo">https://bit.ly/2Wo8Goo</a>)
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