
Experienced professional in hybrid control and optimization, utilizing Model Predictive Control (MPC) and Deep Reinforcement Learning (DRL) to enhance constraint management and achieve key performance indicators. Proficient in applying industrial AI for predictive maintenance, defect detection, and workflow optimization. Demonstrated success in developing digital twins and simulation models for assembly lines and logistics, ensuring robust experimental processes. Strong leadership in project management, proposal development, and international collaboration.
SESAME (EU pilot): DRL/MPC pilots for predictive quality and maintenance; validated demonstrators and datasets prepared for SME pilots., MERIT (EU project): WP3 lead (SME surveys), curriculum alignment, Connecting Worlds Academy co-author., PhD Fellowship: Italian Government (2019–2022)., Other awards: MS Fellowship (GIK Institute); National ICT R&D Scholarship; Hackathon Challenge Award; Versus Virus finalist.
PhD Fellowship — Italian Government (2019–2022), MS Fellowship — Government of Pakistan GIK Institute (2016–2018), National ICT R&D Scholarship — Pakistan (2012–2016), Summer School Winner — Innopolis University (2018), Humanitarian Drone Mission — WeRobotics Academy