Pablo Rodolfo Baldivieso Monasterios

Dr. Pablo Rodolfo Baldivieso Monasterios is a Lecturer in AI and Data Science at the School of Electrical and Electronic Engineering, University of Sheffield. He holds a Ph.D. in Robust Distributed Control (2018) from the same university, an MSc in Control Systems from the University of Sheffield, and degrees in Electronic Engineering (Escuela Militar de Ingeniería, Bolivia) and Pure Mathematics (Universidad Mayor de San Andrés, Bolivia). His research focuses on control systems, distributed control, model predictive control (MPC), and their applications in power systems and energy networks. He has contributed to advancements in DC microgrids, nonlinear control architectures, and coalitional MPC frameworks.

Dr. Baldivieso Monasterios has held postdoctoral roles at the Control and Power Systems (CAPS) laboratory and the University Technology Centre (UTC) at the University of Sheffield. His work integrates AI with engineering challenges, emphasizing robustness and scalability in cyber-physical systems. His recent publications (2021–2024) explore neural network integration with MPC, decentralized control for meshed networks, and plug-and-play features in coalitional systems.

• Education:
  • Ph.D. in Robust Distributed Control, University of Sheffield (2018)
  • MSc in Control Systems, University of Sheffield
  • Bachelor's Degree in Electronic Engineering, Escuela Militar de Ingeniería, Bolivia
  • Bachelor's Degree in Pure Mathematics, Universidad Mayor de San Andrés, Bolivia
• Teaching:
  • ACS234: Systems Engineering Mathematics II
  • ACS6124: Multisensor and Decision Systems

His research interests span distributed control systems, MPC optimization, and AI-driven solutions for energy infrastructure. He has collaborated on projects involving DC microgrids, peer-to-peer negotiation frameworks, and autonomous cyber-physical systems.