As a brief overview of what I'm doing, I'm doing research on how industry 4.0 can be incorporated with the industry as well as current chemical engineering education and practice. My main focus is on knowledge management in the data and information paradigm in chemical engineering. This includes gathering, storage, use and access of information as well as how to convert data into meaningful information. I use a variety of tools that are frequently used in artificial intelligence such as ontologies and machine learning - with classical, statistical and deep learning frameworks. My targeted data sets include images and natural language, but I can also work with other unstructured data sets.

I am researcher looking for collaborators and students interested in pursuing the top of the line in Artificial Intelligence research and its applications to chemical engineering. With Machine Learning having more and more traction in the chemical industry and in businesses alike, I am researching various approaches that can push this cooperative environment further. With the emergence of Data Science approaches that tackle the problem of Big Data, I am looking to leverage this available data into meaningful data. And with the increasing technical expertise necessary in todays global economy, I am looking for ways to better use this information explosion in students’ education.

I have expertise in Natural Language Processing, Classical and Statistical Machine Learning, Ontology Design, Neural Networks, Intelligent Design from my studies and have further expanded these in my research. I am a member of a startup, RTL Gate Technologies Inc., doing Image Processing, Data Integration and Data Analysis that further my involvement in the field of AI.

I have several priority researches that involve various expertise in both Chemical Engineering and Machine Learning. The first (1st) priority research is in the expansion of the Natural Language Processing and Image Processing Databank for Chemical Engineering. The second (2nd) priority research involves the development of a populated knowledge management system for Chemical Engineering knowledge using Ontologies. Lastly, the third (3rd) priority research is to develop a framework that does the automation of the population of the Ontologies using Natural Language Processing.