About Ricardo Manuel Pinto de Lima Ricardo Manuel Pinto de Lima Research Scientist, Applied Mathematics and Computational Science optimization process systems engineering renewable energy energy systems stochastic programming robust optimization uncertainty quantification risk management nlp minlp milp scheduling My mission is to develop computational models and methods based on mathematical optimization and data science for sustainable energy and chemical processes. I am deeply committed to decarbonization, climate change mitigation, and optimal operations management. Articles Related News April 2026 Resilient renewable energy networks designed for the desert 1 min read · Thu, Apr 23 2026 News Clip News renewable energy systems energy systems optimization climate data extreme weather Accounting for weather extremes is essential for designing reliable renewable energy systems in hot, arid regions. January 2025 Accounting for extreme weather to boost energy system reliability 1 min read · Mon, Jan 13 2025 News Clip News extreme weather renewable energy solar power NEOM energy storage A computer model that factors in extreme weather events offers insights to improve the design of NEOM’s integrated renewable power, water and heating sectors. March 2022 Fatema Alhani: Master's Thesis Defense 1 min read · Wed, Mar 30 2022 News MASTER'S THESIS DEFENSE Wednesday, March 30, 2022, at 4:00 PM Building 2, Level 5, Room 5205 "Run-Time Assurance via Real-Time Trajectory Generation and Transverse Dynamics Regulation Law." Committee Members Prof. Eric Feron, Prof. Shinkyu Park, Dr. Ricardo Manuel Pinto de Lima Abstract In safety-critical environments, it is crucial to have a backup strategy the system can turn to when facing a potentially unsafe situation. Run-time assurance provides a reliable methodology as a backup strategy. This work introduces a new framework for Run-time assurance, by generating trajectories in real October 2018 KAUST team finds solution to staff transfers at the Saudi Ministry of Health 2 min read · Thu, Oct 18 2018 News company employee transfer system A team of KAUST scientists from the University's Computer, Electrical and Mathematical Science and Engineering (CEMSE) division worked to design an enhanced transfer system for the Saudi Ministry of Health (MOH) to help find solutions for employee localization. April 2018 Powering the bottom line 1 min read · Mon, Apr 9 2018 News energy chemical science optimization A risk-based optimization scheme boosts confidence and profitability for future mixed-technology power plants.
Resilient renewable energy networks designed for the desert 1 min read · Thu, Apr 23 2026 News Clip News renewable energy systems energy systems optimization climate data extreme weather Accounting for weather extremes is essential for designing reliable renewable energy systems in hot, arid regions.
Accounting for extreme weather to boost energy system reliability 1 min read · Mon, Jan 13 2025 News Clip News extreme weather renewable energy solar power NEOM energy storage A computer model that factors in extreme weather events offers insights to improve the design of NEOM’s integrated renewable power, water and heating sectors.
Fatema Alhani: Master's Thesis Defense 1 min read · Wed, Mar 30 2022 News MASTER'S THESIS DEFENSE Wednesday, March 30, 2022, at 4:00 PM Building 2, Level 5, Room 5205 "Run-Time Assurance via Real-Time Trajectory Generation and Transverse Dynamics Regulation Law." Committee Members Prof. Eric Feron, Prof. Shinkyu Park, Dr. Ricardo Manuel Pinto de Lima Abstract In safety-critical environments, it is crucial to have a backup strategy the system can turn to when facing a potentially unsafe situation. Run-time assurance provides a reliable methodology as a backup strategy. This work introduces a new framework for Run-time assurance, by generating trajectories in real
KAUST team finds solution to staff transfers at the Saudi Ministry of Health 2 min read · Thu, Oct 18 2018 News company employee transfer system A team of KAUST scientists from the University's Computer, Electrical and Mathematical Science and Engineering (CEMSE) division worked to design an enhanced transfer system for the Saudi Ministry of Health (MOH) to help find solutions for employee localization.
Powering the bottom line 1 min read · Mon, Apr 9 2018 News energy chemical science optimization A risk-based optimization scheme boosts confidence and profitability for future mixed-technology power plants.
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