What Is It All About
Intugent was established in 2021 by industry veterans who realized that a step change in innovation speed can only be made by fundamentally transforming the organizations' capabilities thru streamlining and digitalization. Development of Digitalized Innovation Process (DIP) requires broad skill sets and deep expertise in material sciences, artificial intelligence and information technology.
We help our partners in developing knowledge-base by combining artificial intelligence and fundamental laws of science. Researchers are exposed to these analyses as they are developing new solutions using our DIP. This knowledge-base plays a pivotal part in improving the intuitive and innovation capabilities of researchers. The end goal is to increase the innovation velocity and quality by improving organizational and individual capabilities.
Our Leaders
Ike Latham has spent over 25 years in the material science industry with special focus in thermoset polymers such as Polyurethanes and Epoxy. He has tremendous experience in reducing the art of formulation into material science and developing formulation-structure-property models for various application in flexible and rigid polyurethane foams, elastomeric polyurethane materials, and epoxy systems. Over the years, he developed various digitalization tools that helped the researchers in designing new formulations.
Ike has published numerous papers and patents. He received his Ph.D. from Texas A&M University, after which he did post-doctoral work at the University of Southern Mississippi.
Dr. Bernard E. Obi spent 30 years in the chemical, polymer and material science industry. He is a dynamic polymers/materials scientist with expertise in many areas including free radical dispersion/suspension polymerizations; rigid and flexible thermoplastic and thermoset elastomers and foams (particularly in rigid, flexible and viscoelastic polyurethane thermoset foams). He also has extensive expertise in barrier films technology, surface and interfacial sciences, micro & macro-structure-property-performance relationships, materials development, composites, elastomers and rubbers.
Bernard received his Ph.D. in chemical engineering from Michigan State University. He has published numerous technical papers and patents in these fields including a text book, Polymeric Foams Structure-Property-Performance, published by Elsevier Publishers.
Asjad Shafi has over 30 years of experience in math modelling of material science applications. He specializes in combining physical sciences such as physics and chemistry with artificial intelligence to develop machine learning applications that can be used real-time during material development without requiring high power computing.
Before joining Intugent, he worked at Dow Chemical and held various positions in digitalization, artificial intelligence, materials science modelling, product and process development and new business development. As Digitalization Leader, he initiated and led Dow Polyurethane’s “Predictive Intelligence” program, and introduced theory based neural networks to improve the innovation speeds. He also led development of eCURE to speed epoxy innovations. He received his Ph.D. in Chemical Engineering from Texas A&M University in 1992. Asjad has published extensively in scientific journals.
