Akhil Ahmed

Akhil Ahmed

Adaptive Modelling, Control and Optimization of Large-Scale Systems using Machine Learning

Akhil is a PhD candidate working at the intersection of machine learning, optimization and control. He has a proven track record in practical problem solving across diverse industries and domains with research contributions published in various conferences and journals. He graduated with a first class/distinction from the University of Strathclyde in Chemical and Process Engineering and worked as a scientific software developer and engineering consultant before commencing his doctoral studies. Akhil is a member of the Autonomous Industrial Systems Lab supervised by Mehmet Mercangoz and he is co-supervised by Antonio del Rio Chanona.

Interests
  • Machine Learning Applied to PSE
  • Real-Time Optimization
  • Process Control
Education
  • MEng Chemical and Process Engineering, 2015-2020

    University of Strathclyde

Publications