Briyan Castillo | Mathematical Modeling | Young Scientist Award

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Young Scientist Award

Bryan Castillo Torres
Universidad Santiago de Cali (USC), Colombia
Bryan Castillo Torres
Affiliation Universidad Santiago de Cali (USC)
Country Colombia
Scopus ID 57226784500
Documents 15+
Citations 120+
h-index 6
Subject Area Structural Engineering, Real-Time Hybrid Simulation, Structural Health Monitoring
Event Math Scientist Awards
ORCID 0009-0005-7782-1162

Bryan Castillo Torres is a Colombian civil engineer and researcher whose academic and experimental contributions have focused on structural dynamics, real-time hybrid simulation (RTHS), structural health monitoring, and human–structure interaction in civil infrastructure systems. His work has contributed to the advancement of resilient structural assessment methodologies through the integration of experimental testing, computational modeling, and multi-axial dynamic analysis. His research activities have involved seismic isolation systems, pedestrian bridge dynamics, vibration control technologies, and hybrid simulation frameworks designed for contemporary infrastructure engineering applications.

Abstract

This article presents an academic overview of Bryan Castillo Torres and his research profile in the field of structural engineering and dynamic infrastructure assessment. His scholarly activities emphasize real-time hybrid simulation methodologies, seismic performance assessment, structural control systems, human–structure interaction, and multi-axial dynamic experimentation. Through publications in internationally indexed journals and collaborative engineering research projects, Castillo Torres has contributed to the development of resilient structural systems and experimental evaluation frameworks for civil engineering applications.[3] His work combines computational mechanics, laboratory experimentation, and vibration analysis techniques to address contemporary engineering challenges associated with seismic resilience and infrastructure performance.[4]

Keywords

Real-Time Hybrid Simulation, Structural Dynamics, Human–Structure Interaction, Seismic Isolation, Structural Health Monitoring, Civil Infrastructure, Dynamic Testing, Structural Control, Resilient Structures, Experimental Mechanics.

Introduction

Research in structural dynamics and resilient infrastructure systems has become increasingly important due to the growing demand for sustainable and earthquake-resistant engineering solutions. Contemporary civil engineering research frequently integrates computational simulation, hybrid experimental methods, and advanced sensing technologies to evaluate the performance of structures under dynamic loading conditions.

Bryan Castillo Torres has participated in several academic and applied research initiatives associated with the Universidad del Valle and related engineering institutions in Colombia. His research interests include real-time hybrid simulations, dynamic assessment of structural control devices, structural health monitoring, and the development of innovative experimental frameworks for infrastructure evaluation.[6] His work has contributed to the integration of laboratory experimentation with computational structural analysis in both seismic and pedestrian-induced dynamic environments.

Research Profile

Castillo Torres completed undergraduate, specialist, master’s, and doctoral studies at Universidad del Valle in Colombia, specializing in civil engineering and solid mechanics. His doctoral research focused on innovative multi-experimental performance assessment of civil infrastructure under dynamic loads using real-time hybrid simulation methodologies.

Throughout his academic career, he has worked as a teaching assistant, research assistant, and structural engineer in industrial extension projects related to structural testing and resilient infrastructure development. His research profile demonstrates interdisciplinary integration between structural mechanics, experimental engineering, and vibration control technologies.

  • Dynamic testing using Real-Time Hybrid Simulation systems.
  • Structural health monitoring and multiaxial sensor evaluation.
  • Human–structure interaction assessment in pedestrian bridges.
  • Experimental seismic isolation and vibration control systems.
  • Development of resilient infrastructure testing frameworks.

Research Contributions

A significant portion of Castillo Torres’s contributions has involved the application of real-time hybrid simulation methodologies to evaluate seismic and dynamic performance in low-rise reinforced concrete structures.[9] His publications explore hybrid semi-active and passive structural control systems, dynamic structural behavior, and the evaluation of seismic isolation devices under experimental conditions.

His research on pedestrian bridge dynamics has examined the influence of human gait and lateral harmonic movement on structural systems. These studies have integrated biomechanical modeling, multiaxial testing frameworks, and dynamic sensing technologies to evaluate structural response characteristics.[10]

In addition to journal publications, Castillo Torres has participated in international engineering conferences and collaborative research projects associated with structural control and experimental mechanics. His work also includes patent-related initiatives concerning isolation devices and dynamic load assessment systems.

Publications

  1. “Comprehensive assessment of the seismic performance of an innovative hybrid semi-active and passive state control system for a low-degree-of-freedom structure using Real-Time Hybrid Simulation.” Structural Control and Health Monitoring (2024). DOI:
    https://doi.org/10.1155/2024/9945556
  2. “Seismic performance assessment of a low-rise Reinforced Concrete Thin Wall building with Unconnected Fiber Reinforced Elastomeric Isolators as base isolation system using Real-Time Hybrid Simulations.” Journal of Building Engineering (2024). DOI:
    https://doi.org/10.1016/j.jobe.2024.109303
  3. “Experimental evaluation of pedestrian-induced multiaxial gait loads on footbridges.” Sensors (2024). DOI:
    https://doi.org/10.3390/s24082517
  4. “Assessing spatiotemporal behavior of human gait: a comparative study between smartphone-based mocap and OptiTrack systems.” Experimental Techniques (2024). DOI:
    https://doi.org/10.1007/s40799-024-00716-x

Research Impact

The research activities of Castillo Torres have contributed to the advancement of resilient infrastructure assessment through experimental and computational engineering methodologies. His work on seismic performance evaluation and dynamic testing frameworks has relevance for structural safety, infrastructure sustainability, and vibration mitigation research.

Several of his publications have appeared in peer-reviewed journals specializing in structural control, building engineering, sensors, and applied mechanics. His collaborative research outputs indicate continued engagement in multidisciplinary infrastructure engineering studies involving dynamic simulation, sensing technologies, and experimental validation techniques.

Award Suitability

Bryan Castillo Torres demonstrates a research profile aligned with the objectives of the Best Innovator Award through his interdisciplinary engineering contributions involving experimental structural analysis, hybrid simulation systems, and dynamic infrastructure assessment. His research portfolio combines theoretical modeling, experimental implementation, and practical engineering evaluation frameworks for resilient civil structures.

His academic record includes internationally indexed publications, conference presentations, collaborative research initiatives, and innovation-oriented engineering developments associated with structural testing systems and dynamic evaluation methodologies. Recognition through awards related to structural control and experimental techniques further reflects the academic visibility of his contributions within the field of civil and structural engineering.

Conclusion

Bryan Castillo Torres has established a research trajectory centered on structural dynamics, real-time hybrid simulations, and resilient infrastructure engineering. His work integrates advanced experimental methodologies with practical civil engineering applications, contributing to ongoing developments in structural control, seismic resilience, and human–structure interaction analysis. Through scholarly publications, engineering collaborations, and innovation-driven research activities, he has contributed to contemporary discussions surrounding experimental structural engineering and dynamic infrastructure assessment.

 

References

  1. Castillo, B., Ceron, D., Vides, S., Marulanda, J., & Thomson, P. (2024). Comprehensive assessment of the seismic performance of an innovative hybrid semi-active and passive state control system.
    https://doi.org/10.1155/2024/9945556
  2. Castillo, B., et al. (2024). Seismic performance assessment using Real-Time Hybrid Simulations. Journal of Building Engineering.
    https://doi.org/10.1016/j.jobe.2024.109303
  3. Castillo, B., Artunduaga, E., Marulanda, J., Thomson, P., & Ortiz, A. (2024). Multi-experimental seismic analysis using hybrid simulations.
    https://doi.org/10.1177/13694332241281525
  4. Castillo, B., Marulanda, J., & Thomson, P. (2024). Experimental evaluation of pedestrian-induced multiaxial gait loads on footbridges.
    https://doi.org/10.3390/s24082517

John Paulo Serwelas | Applied Mathematics | Mathematical Engineering Excellence Award

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Prof. John Paulo Serwelas | Applied Mathematics | Mathematical Engineering Excellence Award

Author at Mapua University | Philippines

Prof. John Paulo Serwelas is a faculty member at Mapúa University, Philippines, whose research focuses on structural and materials engineering, particularly the performance of reinforced concrete structures under corrosion effects. His work integrates experimental investigation and analytical modeling to evaluate bonding strength and durability in corroded reinforced concrete using electrochemical measurement techniques such as half-cell potential analysis. Through his research, he contributes to improving structural safety, durability assessment, and sustainable infrastructure design in civil engineering.

Featured Publication

Mohamed Etarhouni | Mathematical Modeling | Best Researcher Award

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Dr. Mohamed Etarhouni | Mathematical Modeling | Best Researcher Award

Electrical Engineering Lecturer at Liverpool John Moores University, United Kingdom

Dr. Mohamed Etarhouni is an accomplished lecturer and researcher in Electrical and Electronic Engineering 🌍. With a PhD specializing in renewable energy systems, his innovative work on optimizing solar PV systems 🏞️ has been published in top journals like IEEE and Elsevier. Boasting over 8 years of teaching experience 📚, he excels in integrating modern tools such as MATLAB-Simulink, Proteus, and Mobius to create engaging, hybrid learning environments. His passion for student development is evident through his commitment to inclusive education and ongoing professional growth, including a PGCert in Teaching in Higher Education 🎓. Dr. Etarhouni’s contributions extend beyond teaching, as he actively participates in academic conferences, peer reviewing, and fostering interdisciplinary research. Recognized for his exceptional teaching and scholarly achievements 🏆, he is a forward-thinking academic whose work bridges the gap between theory and practical solutions in the rapidly evolving field of renewable energy.

Professional Profile

Scopus Profile
ORCID Profile

Education 🎓

Dr. Mohamed Etarhouni’s educational journey showcases a blend of academic excellence and practical application. He earned his PhD in Electrical and Electronic Engineering from the University of Leeds, where he focused on developing advanced techniques for maximizing power extraction from solar photovoltaic (PV) systems, particularly under partial shading conditions 🌞. In addition, he holds an MSc in Electrical Engineering & Renewable Energy Systems with distinction from the University of Leeds, where he demonstrated outstanding performance in his field. Currently, he is further advancing his teaching expertise by pursuing a PGCert in Teaching in Higher Education at Keele University, continuing his passion for educational innovation 📚. His strong educational foundation enables him to deliver effective and forward-thinking teaching strategies while also contributing to research and technology development in renewable energy.

Professional Experience 💼

Dr. Etarhouni brings over 8 years of experience in academia, having taught at respected institutions such as Liverpool John Moores University, Teesside University, and the Open University. He has designed and delivered courses in a variety of areas, including electronics, power electronics, embedded systems, and electrical circuits ⚡. Dr. Etarhouni integrates cutting-edge technologies like Canvas, MATLAB-Simulink, and Mobius to enhance the learning experience for students, ensuring they acquire the practical skills needed in the rapidly evolving field of electrical engineering. His expertise is not limited to teaching; he has supervised both undergraduate and postgraduate students, guiding them through research projects that bridge theory and real-world applications. Dr. Etarhouni’s collaborative research with the University of Leeds in power electronics and renewable energy continues to fuel his passion for both education and sustainable technology 🌍.

Research Interest 🔬

Dr. Etarhouni’s primary research interest lies in optimizing renewable energy systems, specifically solar power technologies. His work on improving the performance of solar PV systems through advanced optimization techniques—particularly in partial shading scenarios—has set him apart in his field. He has pioneered innovations such as Series-Parallel Differential Power Processing (SP-DPP) converters and fuzzy logic-based control systems, all designed to maximize energy extraction from solar arrays 🌞. His research also delves into the integration of renewable energy systems with power electronics, aiming to improve overall system efficiency and reliability. His work in this area has been published in prominent journals, and he continues to explore new configurations to enhance the practicality and scalability of renewable energy solutions, contributing significantly to the global push toward sustainable energy sources 🌱.

Awards and Honors 🏅

Dr. Etarhouni’s dedication to both research and teaching has earned him numerous accolades. He was awarded the Best Paper Award at the IEEE Renewable Energy Congress for his groundbreaking work on solar PV technologies, and his teaching excellence has been recognized with multiple Teaching Recognition Certificates from Liverpool John Moores University 🏆. His contributions to higher education and research were further acknowledged when he received an Exemplar Recognition from Keele University for his innovative approaches to teaching. As a Fellow of the Higher Education Academy (FHEA), Dr. Etarhouni demonstrates a strong commitment to maintaining high teaching standards. His active role as a session chair and peer reviewer at international conferences highlights his prominent position within the academic community, and his continuous professional development reflects his dedication to furthering his expertise in both pedagogy and engineering 🌟.

Conclusion 🌟

Dr. Mohamed Etarhouni stands out as an academic and researcher whose work consistently bridges the gap between cutting-edge renewable energy solutions and effective teaching methodologies. His contributions to optimizing solar energy systems are setting new standards in the field of renewable energy, while his dedication to education is fostering the growth of future engineers. As a published researcher and award-winning educator, Dr. Etarhouni’s innovative approach to both teaching and research continues to influence the academic and engineering communities. With his ongoing commitment to professional development and research, Dr. Etarhouni is poised to remain a key figure in advancing sustainable energy solutions and educational excellence 🌍⚡.

Publications Top Notes

🌞 Design of Novel Differential Power Processing Scheme for Small-Scale PV Array Application Operating Under Partial Shading Conditions

Authors: Mohamed Etarhouni, Hiroshan Puvanendra Moorthy, Benjamin Chong
Year: 2024
Source: Computers and Electrical Engineering
DOI: 10.1016/j.compeleceng.2024.109254
This paper discusses a novel power processing scheme 🛠️ designed for small-scale photovoltaic (PV) arrays under partial shading conditions 🌥️, which are common in solar energy systems. The scheme aims to maximize the output power and enhance system efficiency by addressing shading effects.

⚡ Control of Cascaded PV-Ćuk Converter Modules by Particle Swarm Optimization Under Partial Shading Conditions

Authors: Mohamed Etarhouni, Benjamin Chong
Year: 2023
Source: World Congress on Electrical Engineering and Computer Systems and Science
DOI: 10.11159/eee23.107
This study explores the optimization 🔧 of Cascaded PV-Ćuk converters using particle swarm optimization 🐝, particularly under partial shading 🌑 conditions. It introduces an innovative control strategy to improve the performance of photovoltaic systems during shaded conditions.

🌞 A Combined Scheme for Maximising the Output Power of a Photovoltaic Array Under Partial Shading Conditions

Authors: Mohamed Etarhouni
Year: 2022
Source: Sustainable Energy Technologies and Assessments
DOI: 10.1016/j.seta.2021.101878
The article presents a combined scheme 🛠️ designed to maximize output power from a photovoltaic array under partial shading 🌤️ conditions. This method enhances the power extraction capabilities of PV systems, addressing common challenges in solar energy applications.

🌅 A Novel Square Algorithm for Maximising the Output Power from a Partially Shaded Photovoltaic Array System

Authors: Mohamed Etarhouni
Year: 2022
Source: Optik
DOI: 10.1016/j.ijleo.2022.168870
This paper introduces a novel square algorithm 💡 for optimizing power output from partially shaded photovoltaic systems. It aims to mitigate the effects of shading 🌒 on solar energy production, improving overall system efficiency 🌞.

🔋 Series-Parallel Differential Power Processing Scheme for Maximised Power Extraction from Mismatched Photovoltaic Panels

Authors: Mohamed Etarhouni
Year: 2020
Source: 10th International Conference on Power Electronics, Machines and Drives (PEMD)
This conference paper presents a series-parallel differential power processing scheme 🔋 to maximize power extraction from mismatched PV panels under varying conditions. The innovative scheme improves solar energy generation efficiency despite mismatch between panels.

🌞 Optimal Design of Series-Parallel Differential Power Processing Converters for Photovoltaic Array Energy Systems

Authors: Mohamed Etarhouni
Year: 2020
Source: 37th European Photovoltaic Solar Energy Conference and Exhibition
This work focuses on the optimal design 🛠️ of series-parallel differential power processing converters aimed at improving energy efficiency in solar power systems. The design optimizes power management in photovoltaic arrays, reducing energy loss due to shading or mismatch.

⚡ Review of PV Array Interconnection Schemes for Maximum Power Operation Under Partial Shading

Authors: Mohamed Etarhouni
Year: 2019
Source: 36th European Photovoltaic Solar Energy Conference and Exhibition
DOI: 10.4229/EUPVSEC20192019-5BO.5.6
This paper offers a comprehensive review 📚 of various PV array interconnection schemes designed to ensure maximum power output under partial shading conditions. It evaluates techniques for overcoming common solar energy challenges related to shading and array configuration.

🌅 A PV Array Reconfiguration Algorithm for Minimising Partial Shading Effects

Authors: Mohamed Etarhouni
Year: 2019
Source: 2019 10th International Renewable Energy Congress (IREC)
DOI: 10.1109/irec.2019.8754602
The paper introduces a reconfiguration algorithm 🔄 for photovoltaic arrays, aimed at minimizing the effects of partial shading 🌦️. The algorithm focuses on optimal array configuration, boosting power extraction by reducing the impact of shading on solar panels.