The Research Group on ALGORITHMS AND COMBINATORICS (ALGOS), is a research group that supports undergraduate, master's and doctorate in Systems Engineering and Computer Science and Industrial Engineering, Faculty of Engineering of the National University of Colombia in Bogotá. The scope ALGOS research is the basic and applied algorithmics study: the science and art of designing algorithms for solving combinatorial problems or continuous problems whose solution can be approximated discretely that appear systematically in various areas of science. Group members work on: analysis and design of data structures, analysis and design of algorithms, parallel algorithms,, evolutionary algorithms, approximate algorithms, online algorithms, randomized algorithms, probabilistic analysis of algorithms, probabilistic models in computing, combinatorial analysis, probabilistic combinatorics, computational game theory and graph theory. Group members also work developing algorithms that solve efficiently and effectively problems in applied areas as: computational finance, algorithmic trading, FinTech, data science, machine learning, bioinformatics, computational neuroscience, optimization, fuzzy optimization, approximated search, simulation, classification systems and data management, encryption of information, numerical analysis, numerical calculation and the teaching-learning of computational thinking and programming. The group has a Research Subgroup on ALGORITHMIC TRADING, COMPUTATIONAL FINANCES AND FINTECH (ALGOS-ALGOTRADE). Members of this subgroup work on: computational finance, algorithmic trading, FinTech, computational markets, design of market mechanisms, design of algorithmic trading strategies, design of trading strategies based on data science, machine learning and computational intelligence, design of trading strategies based on computational game theory,

• ALGORITMOS Y COMPLEJIDAD COMPUTACIÓNAL

The Research Group on ALGORITHMS AND COMBINATORICS (ALGOS), is a research group that supports undergraduate, master's and doctorate in Systems Engineering and Computer Science and Industrial Engineering, Faculty of Engineering of the National University of Colombia in Bogotá. The scope ALGOS research is the basic and applied algorithmics study: the science and art of designing algorithms for solving combinatorial problems or continuous problems whose solution can be approximated discretely that appear systematically in various areas of science. Group members work on: analysis and design of data structures, analysis and design of algorithms, parallel algorithms,, evolutionary algorithms, approximate algorithms, online algorithms, randomized algorithms, probabilistic analysis of algorithms, probabilistic models in computing, combinatorial analysis, probabilistic combinatorics, computational game theory and graph theory. Group members also work developing algorithms that solve efficiently and effectively problems in applied areas as: computational finance, algorithmic trading, FinTech, data science, machine learning, bioinformatics, computational neuroscience, optimization, fuzzy optimization, approximated search, simulation, classification systems and data management, encryption of information, numerical analysis, numerical calculation and the teaching-learning of computational thinking and programming. The group has a Research Subgroup on ALGORITHMIC TRADING, COMPUTATIONAL FINANCES AND FINTECH (ALGOS-ALGOTRADE). Members of this subgroup work on: computational finance, algorithmic trading, FinTech, computational markets, design of market mechanisms, design of algorithmic trading strategies, design of trading strategies based on data science, machine learning and computational intelligence, design of trading strategies based on computational game theory,

The Research Group on ALGORITHMS AND COMBINATORICS (ALGOS), is a research group that supports undergraduate, master's and doctorate in Systems Engineering and Computer Science and Industrial Engineering, Faculty of Engineering of the National University of Colombia in Bogotá. The scope ALGOS research is the basic and applied algorithmics study: the science and art of designing algorithms for solving combinatorial problems or continuous problems whose solution can be approximated discretely that appear systematically in various areas of science. Group members work on: analysis and design of data structures, analysis and design of algorithms, parallel algorithms,, evolutionary algorithms, approximate algorithms, online algorithms, randomized algorithms, probabilistic analysis of algorithms, probabilistic models in computing, combinatorial analysis, probabilistic combinatorics, computational game theory and graph theory. Group members also work developing algorithms that solve efficiently and effectively problems in applied areas as: computational finance, algorithmic trading, FinTech, data science, machine learning, bioinformatics, computational neuroscience, optimization, fuzzy optimization, approximated search, simulation, classification systems and data management, encryption of information, numerical analysis, numerical calculation and the teaching-learning of computational thinking and programming. The group has a Research Subgroup on ALGORITHMIC TRADING, COMPUTATIONAL FINANCES AND FINTECH (ALGOS-ALGOTRADE). Members of this subgroup work on: computational finance, algorithmic trading, FinTech, computational markets, design of market mechanisms, design of algorithmic trading strategies, design of trading strategies based on data science, machine learning and computational intelligence, design of trading strategies based on computational game theory,

Trabajmos con el Grupo Odeon del Externado y con Quanconnect a nivel intrenacional

Programación visual como herramienta desarrollo de estrategias automáticas de trading para usuarios no expertos en codificación de algoritmos

PROGRAMA NACIONAL DE INVESTIGACIÓN EN GENÓMICA,BIOINFORMÁTICA Y ESTADÍSTICA PARA ESTUDIOS EN ENFERMEDADES NEUROSIQUIÁTRICAS. FASE I: ENFERMEDAD DE ALZHEIMER

• PARAMETERIZATION OF THE MESH ALGORITHMS SEMI-INFINITE OPTIMIZATION FOR THE PROBLEMS OF INDUSTRIAL ECOLOGY. (Articulos sometidos a revisión en revista indexada)
• OUTER APPROXIMATION ALGORITHMS TO SOLVE SEMI-INFINITE ENVIRONMENTAL POLLUTION PROBLEMS (Articulos sometidos a revisión en revista indexada)
• A goal-based and multi-criteria decision analysis approach to the certification of professional engineers in Colombia (Articulos sometidos a revisión en revista indexada)
• DISPERSIÓN DE LAS PARTÍCULAS DE EMISIONES INDUSTRIALES EN EL PROBLEMA DE OPTIMIZACIÓN SEMI-INFINITA DEL ÁREA CONTAMINADA (Articulos sometidos a revisión en revista indexada)
• MODELAMIENTO ESTOCÁSTICO DE LA EVOLUCIÓN DE LA TRASMISIÓN DE VIRUS ALTAMENTE CONTAGIOSOS EN LUGARES CONCURRIDOS (Articulos sometidos a revisión en revista indexada)
• Use of the Artificial Intelligence for Drivers Behavior Analysis and Vehicular Crashes Generation (Articulos sometidos a revisión en revista indexada)
• MULTIPARAMETER OPTIMIZATION PROBLEMS IN CONFLICT INDUSTRIAL ECOLOGY (Articulos sometidos a revisión en revista indexada)
• UNA SOLUCIÓN NUMÉRICA DEL PROBLEMA DE CONTROL DE CONTAMINACIÓN DE AIRE EN 3D. (Articulos sometidos a revisión en revista indexada)
• OPTIMIZACIÓN DE EMISIONES DE LA RED DE CARRETERAS DE INFRAESTRUCTURA URBANA (Articulos sometidos a revisión en revista indexada)
• Comparing Operation Points in Linear Programming with Fuzzy Constraints (Articulos sometidos a revisión en revista indexada)
• A Complex Network Approach to Identify Potential Financial Scandals: The Colombian Market Case. (Articulos sometidos a revisión en revista indexada)
• PROBLEMA DE PRODUCCIÓN TEMPRANA/TARDÍA USANDO OPTIMIZACIÓN SEMI-INFINITA (Articulos sometidos a revisión en revista indexada)
• OPTIMAL POSITIONING OF POLLUTION EMISSIONS SOURCES IN PROBLEMS OF INDUSTRIAL ECOLOGY (Artículo publicado en revista de divulgación)
• OPTIMIZATION OF REGION¿S ECOLOGICAL NORMS IN CONFLICT WITH INDUSTRIAL SOURCES¿ POLLUTION EMISSIONS (Artículo publicado en revista de divulgación)
• POSIBILIDADES DE METAHEURISTICAS PARA LA SOLUCION DE PROBLEMAS SEMI-INFINITOS DE COMPLETACION DE PRODUCCION (Artículo publicado en revista de divulgación)
• IMPROVING THE ACCURACY OF OPTIMIZATION ALGORITHMS IN A SEMI-INFINITE INDUSTRIAL ECOLOGY PROBLEM (Artículo publicado en revista de divulgación)
• ALGORITHM FOR OPTIMIZATION OF TRANSBOUNDARY POLLUTION FROM EMISSIONS OF SOURCES IN INDUSTRIAL ZONES (Artículo publicado en revista de divulgación)
• A Complex Network Approach to Identify Potential Financial Scandals: The Colombian Market Case (Artículos sometidos a revisión en revista indexada.)
• Designing, Implementing and Testing an Automated Trading Strategy Based on Dynamic Bayesian Networks, the Limit Order Book Information, and the Random Entry Protocol. (Capitulo en libro que presente resultados de la invetigación)
• Learning of natural trading strategies on foreign exchange high-frequency market data using dynamic Bayesian networks (Capítulo en libro que presente resultados de la investigación)
• Designing, Implementing and Testing an Automated Trading Strategy Based on Dynamic Bayesian Networks, the Limit Order Book Information, and the Random Entry Protocol. (Capítulo en libro que presente resultados de la investigación)
• DISEÑO Y EVALUACIÓN DE UN NUEVO MODELO DE GENERACIÓN DE SECUENCIAS PSEUDOALEATORIAS USANDO AUTÓMATAS CELULARES Y SU APLICABILIDAD EN CRIPTOGRAFÍA ACORDE A LOS ESTÁNDARES ACTUALES (DIRECCIÓN DE TESIS)
• AN HYBRID EVOLUTIONARY ALGORITHM FOR THE VEHICLE ROUTING PROBLEMA WITH STOCHASTIC DEMANS (DIRECCIÓN DE TESIS)
• FUZZY LINEAR PROGRAMMING WITH INTERVAL TYPE-2 FUZZY CONSTRAINTS (DIRECCIÓN DE TESIS)
• HIGH FREQUENCY EXCHANGE RATE PREDICTION USING DYNAMIC BAYESIAN NETWORKS OVER THE LIMIT ORDER BOOK INFORMATION (DIRECCIÓN DE TESIS)
• Infraestructura escolar, dimensionamiento y proyección (Otro)
• COMPUTATIONAL VISUAL ANALYSIS OF THE ORDER BOOK DYNAMICS FOR CREATING HIGH-FREQUENCY FOREIGN EXCHANGE TRADING STRATEGIES. (PONENCIAS EN EVENTOS ESPECIALIZADOS)
• A METHOD FOR SOLVING LINEAR PROGRAMMING MODELS WITH INTERVAL TYPE-2 FUZZY CONSTRAINTS (PUBLICACIÓN EN ARTÍCULO DE REVISTA)
• HACIA LA OPTIMIZACIÓN USANDO COMPUTACIÓN CON PALABRAS (PUBLICACIÓN EN ARTÍCULO DE REVISTA)
• Workshop on Engineering Applications 2020 (Presentación de ponencia en evento científico o tecnológico)
• 12th International Conference on Intelligent Computing (Presentación de ponencia en evento científico o tecnológico)
• Workshop on Engineering Applications 2017 (Presentación de ponencia en evento científico o tecnológico)
• International Conference on Computational Science 2017 (Presentación de ponencia en evento científico o tecnológico)
• Workshop on Engineering Applications 2016 (Presentación de ponencia en evento científico o tecnológico)
• Earliness/Tardiness Production Problem using Semi-Infinite Optimization (TDG (Trabajo dirigido de grado) )
• Selección de CRM para PYMES colombianas. un análisis multicriterio. estudio de caso (Tesis de maestría)
• Aplicación de técnica de toma de decisiones multicriterio para seleccionar una metodología de medición del efecto unconstraining para una empresa del transporte aéreo comercial. (Tesis de maestría)
• Diseño de un modelo de selección de estrategia de sobre reserva en el sector de transporte aéreo de pasajeros aplicando un método multicriterio (Tesis de maestría)
• Definición y solución de una nueva variable aproximada al problema de emparejamiento de secuencias con preservación de orden (Tesis de maestría)
• Short-Term Forecasting of Financial Time Series with Deep Neural Networks (Tesis de maestría)
• SOLUCIÓN DEL PROBLEMA DE LA SELECCIÓN DE UN PORTAFOLIO MEDIANTE PROGRAMACIÓN SEMI-INFINITA (Tesis de maestría)
• Diseño y evaluación de un nuevo modelo de generación de secuencias pseudoaleatorias usando autómatas celulares y su aplicabilidad en criptografía acorde a los estándares actuales (Tesis de maestría)
• Aplicación de una metodología multicriterio para la selección de proveedores de materias primas. Caso de estudio sector cosmético. (Tesis de maestría)
• Deep learning neural networks based algorithmic trading strategy for colombian financial market using tick by tick and order book data (Tesis doctoral)
• High-Frequency trading strategy based on deep neural networks (Tesis doctoral)
• Metodología para la búsqueda del consenso en la toma de decisiones grupales multicriterio (MCGDM) incluyendo influencias. Caso de estudio en gestión ambiental. (Tesis doctoral)
• Enfoque de sostenibilidad en el diseño de rutas tiempo-dependientes para el transporte escolar urbano desde el cargue mixto (Tesis doctoral)
• Deep Learning Neural Network based Algorithmic Trading Strategy for Colombian Financial Market using Tick-by-Tick and Order Book Data (Tesis doctoral)
• Metodología de análisis Multicriterio para la Certificación de los Profesionales de Ingeniería en Colombia. (Tesis doctoral)
• High frequency exchange rate prediction using dynamic bayesian networks over the limit order book information (Tesis doctoral)