Experienced researcher in Machine Learning/Reinforcement Learning demonstrated by a record of 10 publications in peer-reviewed journals and conferences and several successful pilot-scale RL applications.
My research activities include
- theoretical expansion on the RL theory,
- developing industrial autonomous decision-making schemes,
- deploying Python codes through OPC & DeltaV DCS,
- building & managing high-performing control teams,
- and organizing industrial workshops.
I have delivered intelligent optimization, control, and monitoring tools for Fortune 500 companies. Some industrial applications are published in the following.