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Prof. Juan Camilo Tejada Orjuela | Mechatronic | Young Scientist Award

Titular Professor at Universidad Iberoamericana Ciudad de México , Mexico

Prof. Juan Camilo Tejada Orjuela is a distinguished Mechanical Engineer specializing in Automation and Engineering Sciences. With over 11 years of academic experience and 7 years of leadership in academic programs, he has made significant contributions to the fields of robotics, artificial intelligence, and data-driven modeling. Currently, he is pursuing a Ph.D. in Engineering Sciences at Universidad Iberoamericana, Mexico, focusing on multi-agent robotic systems. His research revolves around applied intelligent systems, nonlinear structures, and mobile robotics. As a professor and researcher at Universidad Iberoamericana, Mexico City, he actively contributes to groundbreaking AI-driven automation projects. His passion for innovation, creativity, and problem-solving fuels his commitment to academic excellence and impactful research.

professional profiles📖

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Education 🎓

Prof. Tejada has a Ph.D. (C) in Engineering Sciences from Universidad Iberoamericana, Mexico, with a thesis on heterogeneous multi-agent platforms with soft robotic agents. He earned a Master’s in Engineering (M.Sc.) with a specialization in Automatic Control from Universidad Pontificia Bolivariana (UPB), where he designed sealing systems for remotely operated underwater vehicles. His undergraduate studies in Mechanical Engineering at UPB included pioneering research on viscosity reduction in heavy crude oils using solar thermal energy. His expertise in control systems, robotics, and automation positions him as a leader in AI-driven technological advancements.

work Experience💼

Prof. Tejada has served in multiple academic roles, including Titular Professor and Mechatronic Program Coordinator at Universidad Iberoamericana, Mexico. Previously, he was Program Director for Artificial Intelligence and IoT at Universidad EIA, Colombia. He has also been an Assistant Professor and Electronic & Telecommunications National Leader at Universidad Nacional Abierta y a Distancia, Colombia. His early career involved research fellowships in underwater robotics and design engineering roles in the industry. His expertise spans robotic service platforms, soft robotic structures, and AI-driven automation.

Research Focus

Prof. Tejada’s research encompasses robotics, artificial intelligence, computer vision, and control systems. He specializes in soft robotics, exoskeleton design, and nonlinear robotic control. His work in trajectory tracking, adaptive control, and evolutionary intelligence has led to advancements in rehabilitation robotics, autonomous navigation, and human-robot interaction. His research has applications in biomedical engineering, industrial automation, and AI-driven decision-making systems. His focus on data-driven AI models and metaheuristic algorithms continues to push technological boundaries.

Skill

Prof. Tejada is proficient in Python, R, MATLAB, LabVIEW, ROS, and C++ for AI and robotics applications. His expertise in MySQL and PostgreSQL supports data-driven modeling. He is skilled in Autodesk Inventor, ANSYS Workbench, and SolidWorks for mechanical design. His research involves deep learning, reinforcement learning, soft robotics, and computational intelligence.

Conclusion✅

Juan Camilo Tejada Orjuela is a highly suitable candidate for the Young Scientist Award, given his outstanding academic achievements, innovative research, and contributions to robotics and AI. His work bridges theoretical advancements with real-world applications, making a meaningful impact in the field of intelligent systems. With further engagement in industrial collaborations and global outreach, he can solidify his position as a leading figure in AI-driven robotics research.

 

📚Publications to Noted

 

Trajectory Tracking of a 2-DOF Serial Flexible Joint Robot Using Active Disturbance Rejection

Authors: M. Ramŕez-Neria, G. Ochoa-Ortega, A. Toro-Ossaba, E. G. Hernandez-Martinez, A. López-González, J. C. Tejada

Year: 2024

 

Comparative Analysis of Metaheuristic Algorithms for Inverted Pendulum Systems

Authors: D. Sanin-Villa, M. A. Rodriguez-Cabal, L. F. Grisales-Noreña, M. Ramirez-Neria, J. C. Tejada

Year: 2024

 

Soft Robotic Hand Exoskeleton with Pneunet-Type Actuators for Rehabilitation

Authors: J. C. Tejada, A. Toro-Ossaba, S. Valencia, et al.

Year: 2024

 

Myoelectric Adaptive Control for a Soft Elbow Exoskeleton

Authors: A. Toro-Ossaba, J. C. Tejada, S. Rúa, J. D. Núñez, A. Peña

Year: 2024

 

Classification System of Soft Robots Inspired by Animal Morphology

Authors: A. Lopez-Gonzalez, J. C. Tejada, J. Lopez-Romero

Year: 2023

 

Evolutionary Intelligent Control System for Flexible Joints Robot

Authors: A. Pena, J. C. Tejada, J. Gonzalez-Ruiz, et al.

Year: 2023

 

Systems Engineering Approach for Programming Baxter Assistant Robots

Authors: J. C. Tejada, A. Toro-Ossaba, J. Berruecos, S. Rúa, D. Sanin-Villa, A. López-González

Year: 2023

 

 

 

Juan Camilo Tejada Orjuela | Mechatronic | Young Scientist Award

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