Leonardo Hernan Talero-Sarmiento holds a PhD in Engineering from Universidad Autonoma de Bucaramanga and is an Assistant Professor at Universidad Industrial de Santander. With a strong commitment to academic and professional excellence, Leonardo has developed diverse expertise in data analytics, operations research, and manufacturing, especially in decision-making and production planning.

Academic Interests and Expertise

Leonardo's academic interests span a wide array of topics, including the health sector, management, Corporate Social Responsibility (CSR), greenwashing, innovation in manufacturing systems, digital transformation, digital readiness, and teaching. He believes these diverse interests enhance his perspectives, fostering innovative thinking and problem-solving approaches in his work. By incorporating user-centered design, prototyping, and data analysis, he ensures that his research and practical applications are relevant, efficient, and impactful. and foster

Technical Proficiencies

Leonardo has honed his skills in multiobjective, multi-period mathematical programming, metaheuristics, and machine learning algorithms throughout his academic journey. These technical proficiencies allow him to optimize production planning and layout, particularly in the context of agricultural decision-making. His work addresses real-world challenges through advanced analytical and computational tools.

Doctoral Research Focus

Leonardo's doctoral research centers on stochastic optimization, enabling him to delve deeper into stochastic series modeling and incorporate uncertainty into agricultural decision-making. By addressing the complexities inherent in these methodologies, he aims to improve operational efficiency and decision-making accuracy, especially in resource-constrained environments.

Professional Contributions

Beyond research and teaching, Leonardo applies his expertise as a consultant and process analyst. He has successfully implemented mathematical, machine learning, and simulation models to improve business processes and productivity in various sectors. His work reflects a commitment to bridging the gap between theory and practical application, ensuring that solutions are innovative but also feasible and sustainable.

Service to the Scientific Community

Leonardo actively contributes to the scientific community as a peer reviewer for MinCiencias and the Revista Colombiana de Computación. His role as a reviewer demonstrates his dedication to maintaining high academic integrity and scientific rigor standards. Previously, he served as a Member of the Ethics Committee at Universidad Autonoma de Bucaramanga, underscoring his commitment to ethical principles, transparency, and responsibility in academia.

Vision and Goals

Leonardo is passionate about fostering innovation and excellence in his field, focusing on creating practical solutions that address complex challenges. His ability to integrate diverse methodologies and perspectives ensures that his work contributes meaningfully to advancing academic knowledge and practical applications.

Personal and Professional Impact

Leonardo's multidisciplinary approach and dedication to excellence make him a valuable contributor to his field. Through his teaching, research, and professional consulting, he continues to shape and influence engineering, decision-making, and sustainable development. His vision and technical expertise position him as a thought leader and innovator in his areas of interest.

Design of Experiments

Artificial Intelligence

Operational Research

Mathematical Modeling and Simulation 

Vidoe

Vidoe (Visualizing Design of Experiments) is a WebApp developed using Streamlit in Python. This tool uses Plotly to help visualizing concepts regarding the Design of Experiments. The platform covers topics such as:

• Factorial designs
• Data analysis
• Data Interpretation
• Search Space
• Plots Analysis
• Linear regression
• Statistical Analysis

It is a project "in Process" You can access it at the following link.

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