Recent Advances & Application of Machine Learning in Reaction Engineering, KPR Institute Engineering and Technology, Autonomous Engineering Institution, Coimbatore, India

The AIChE KPRIET Student Chapter is excited to organize an expert talk on "Recent Advances & Applications of Machine Learning in Reaction Engineering" for final-year chemical engineering students. This session aims to enrich their understanding of Chemical Reaction Engineering II, a subject they are currently studying this semester.

The expert talk will focus on how machine learning (ML) techniques are revolutionizing chemical engineering processes, especially in the design, optimization, and control of chemical reactions. With advancements in data analytics and AI, industries are shifting towards predictive models that improve efficiency and reduce costs.

Key Topics to be Covered:

1. Overview of Reaction Engineering:

   • Importance of reaction kinetics and reactor design.

   • Challenges faced in traditional methods of modeling reactions.

2. Introduction to Machine Learning (ML):

   • Basics of ML and its relevance to chemical engineering.

   • Types of ML algorithms (supervised, unsupervised, and reinforcement learning).

3. Applications of ML in Reaction Engineering:

   • Reaction rate prediction and catalyst optimization.

   • Fault detection and process control in reactors using predictive models.

   • Case studies on real-world applications of ML in chemical industries.

4. ML Tools & Techniques for Reaction Engineers:

   • Overview of software and ML platforms used in reaction engineering research.

   • Importance of data collection and preprocessing for accurate ML models.

5. Future Trends and Career Opportunities:

   • How the convergence of ML and chemical engineering is shaping new careers.

   • Research opportunities and industry expectations for future chemical engineers.