Bachelor’s Degree in Physical Engineering | Universidad Iberoamericana, Ciudad de México
Oscar Alejandro Ángeles-Ramírez is a highly skilled physical engineer with a strong foundation in control systems, data analysis, and financial risk management. Graduating with distinction from Universidad Iberoamericana with a GPA of 9.9/10, he has established a robust academic and professional trajectory. Oscar combines expertise in theoretical research, especially in robotics and control systems, with practical applications in financial risk consulting. He holds a key role at Management Solutions, providing risk consulting to financial entities, while also contributing to academia as an adjunct professor. Oscar’s contributions have earned him prestigious awards, including the CENEVAL Award for Outstanding Performance and several academic scholarships.
Profile
Scopus
Education
Oscar pursued his Bachelor’s degree in Physical Engineering at Universidad Iberoamericana in Mexico City, where he achieved exceptional academic results, graduating with a GPA of 9.9/10 in 2023. He is currently advancing his education by pursuing a Business and Consulting Diploma at the Instituto Tecnológico de Estudios Superiores de Monterrey. His academic background has provided a solid base in both engineering principles and financial consulting, reinforcing his ability to bridge the gap between theoretical research and industry applications.
Experience
Oscar’s professional experience is multifaceted, blending academic research with industry consulting. He has been employed as a Financial and Commodities Risk Consultant at Management Solutions in Mexico City since 2022, where he works on validating and replicating credit risk models for financial entities, as well as ensuring regulatory compliance in liquidity risk metrics like LCR and NSFR. His consulting experience extends to working with ESG criteria for financial institutions. In parallel, he serves as a Junior Academic Researcher and Data Analyst at Universidad Iberoamericana, contributing to innovative research in control systems and robotics, and designing automation tools for academic data collection. Additionally, Oscar has gained valuable teaching experience as an adjunct professor, where he integrates digital tools to enhance students’ understanding of complex mathematical concepts.
Research Interests
Oscar’s research interests lie primarily in control systems engineering and robotics, with a particular focus on iterative learning control and decentralized systems. His work has significantly advanced the study of multi-agent systems, especially in terms of formation control and collision avoidance, which is critical for robotic applications. He has developed a deep understanding of fractional-order systems, exploring their applications in the context of robotics and control systems. Oscar also has a keen interest in integrating innovative data analysis techniques to improve process optimization and decision-making in financial systems, particularly in risk management and regulatory compliance.
Award
Oscar has received multiple awards and recognition for his academic and professional achievements. Notably, he was awarded the Si Quieres, ¡Puedes! Scholarship in 2019 for demonstrating exceptional academic potential despite limited financial resources. He earned an Academic Research Scholarship from the Physics and Mathematics Department at UIA in 2020 and was honored with an Honorable Mention upon completing his Bachelor’s degree in 2023. In 2024, he received the CENEVAL Award for Outstanding Performance on the General Examination for Bachelor’s Degree Graduation. Additionally, his research paper on decentralized formation of multi-agent systems has been provisionally selected for the Best Researcher Award at the International AI Data Scientist Awards.
Publications
Oscar has published a select number of impactful research articles in the prestigious Asian Journal of Control, where he is the first author in all of his publications:
Iterative Learning Control Applied to Distributed-Order LTI MIMO Systems to Achieve Learnability (2023), Asian Journal of Control, Vol. 25, pp. 2508-2520. DOI: 10.1002/asjc.2973
Decentralized Formation of Multi-Agent Conformable Fractional Nonlinear Robot Systems (2024), Asian Journal of Control, Vol. 26, pp. 831-844. DOI: 10.1002/asjc.3242
Decentralized Formation with Collision Avoidance of Multi-Agent Conformable Fractional Nonlinear Robot Systems (2025), Asian Journal of Control. DOI: 10.1002/asjc.3580 – This paper has been provisionally selected for the Best Researcher Award at the International AI Data Scientist Awards by ScienceFather.
Conclusion
Oscar Alejandro Ángeles-Ramírez exemplifies the intersection of academia, engineering, and industry practice. His innovative contributions to control systems and robotics, alongside his pivotal role in financial risk consulting, demonstrate his versatility and commitment to applying knowledge in real-world contexts. With a strong academic foundation, notable research publications, and recognition in both professional and academic circles, Oscar continues to drive forward-thinking solutions in engineering and finance. His pursuit of excellence in both teaching and research solidifies his place as a rising leader in the fields of control systems and data analysis.