Kick off your book project in 3 hours! Live workshop on Zoom. You’ll leave with a real book project, progress on your first chapter, and a clear plan to keep going. Saturday, June 6, 2026. Learn more…
The information contained in this book is usually provided on the job by mentors so it will remain a vital resource throughout your career.
This book familiarizes readers with the world of LLM and agentic AI, and helps them quickly gain a working-level knowledge of building useful agentic AI solutions for process industry operations. With no prerequisites required, practical demo applications, and a hands-on approach adopted throughout, this book makes advanced AI technologies accessible to process engineers and data scientists alike. It aims to help process data scientists and engineers take their first confident steps into Agentic AI world, understand the full picture, and build a strong enough foundation to keep learning and building on their own. Also available here.
Beginner-friendly practical engineering handbook with ongoing updates
Bridge the gap between HYSYS simulations and industrial reality using Physics-Informed AI and MATLAB
Learn about process and plant design from a very experienced process professional who touches on topics typically only covered only during on the job training
The Most Comprehensive Chemical Engineering Practice Dictionary
Updated, useful reference for those involved in plant design, covering all aspects of plant layout in broad detail
My first book “An Applied Guide to Process and Plant Design” showed academics, current students and recent graduates what process plant design is really about. It explains the basis of process plant design, its methodology, and application. It is the book which I wish I had been able to buy when I was learning to be a process engineer.
Learn to model, analyze, and visualize biochemical networks using R. This book guides you through reaction systems, stoichiometry, dynamical simulations, and data-driven workflows to understand complex molecular behavior. Designed for students, researchers, and anyone exploring computational biochemistry.