Aldo Daconte | artificial intelligence | Young Scientist Award

Mr. Aldo Daconte | artificial intelligence | Young Scientist Award

🏆 Mr. Aldo Daconte is a passionate and adaptable individual with a strong commitment to learning and acquiring new knowledge. He has been recognized with the Young Scientist Award in the category of Young Researcher by the Ministry of Science, Technology, and Innovation of Colombia. His expertise lies in artificial intelligence and the development of physical variable monitoring systems. Aldo holds an undergraduate degree in Electronic Engineering from the Cooperative University of Colombia, where he demonstrated his dedication to academic pursuits from February 2017 to November 2021. Prior to that, he earned a Systems Technician certification from the SENA National Learning Service in the period of January 2015 to December 2017. Aldo’s educational journey includes achievements in Baccalaureate at I.E.D. Samario High School, I.E.D. Juan Miguel de Osuna, and I.E.D. Laura Vicuña headquarters Lorencita Villegas. His overarching goal is to contribute to scientific dissemination and the advancement of knowledge through research, projects, development, and innovation. 🚀




🎓 Aldo Daconte, an accomplished individual, pursued his passion for Electronic Engineering at the Cooperative University of Colombia from February 2017 to November 2021, earning an undergraduate degree. He further honed his skills at the SENA National Learning Service, achieving a Systems Technician certification from January 2015 to December 2017. His academic journey includes successful completion of Baccalaureate at I.E.D. Samario High School (January 2012 – November 2016), I.E.D. Juan Miguel de Osuna (January 2011 – November 2011), and primary education at I.E.D. Laura Vicuña headquarters Lorencita Villegas (January 2005 – December 2010). Aldo’s educational background reflects a diverse range of experiences and a strong foundation for his interests in artificial intelligence and monitoring system development. 🌐🔧


🔍 Aldo Daconte, an Ad honorem researcher at Universidad Cooperativa de Colombia Santa Marta campus since June 2022, is actively contributing to the development of a vibrating/seismic table for evaluating scaled earthquakes. His research journey includes roles as a Research Assistant from December 2022 to May 2023, supporting a postdoctoral stay in artificial intelligence. Here, he conducted literature reviews and provided assistance to the leading doctor in the research. In a prior role as a Research Assistant from June 2021 to December 2022, Aldo interned in a medium-sized project focused on water table and aquifer level monitoring systems at the university.

His professional profile extends to being a Solidarity monitor at Universidad Cooperativa de Colombia Santa Marta campus from February 2019 to June 2021, where he trained students in electronic and civil engineering programs. Aldo’s expertise also includes a role as a Technical Assistant in Systems at LyL Security and Systems from March 2015 to October 2016. In this position, he provided specialized advice to clients on corrective and preventive maintenance of computer equipment, showcasing leadership skills and a professional technical profile. 🌐💻🔬


🎓 Aldo Daconte, a standout student in Electronic Engineering, garnered recognition for academic excellence with multiple achievements. In 2022, he earned a coveted call for stays with business purposes from the Ministry of Science, Technology, and Innovation (Minciencia). Notably, Aldo secured the second-highest average in the electronic engineering program in 2020-2, 2019-2, and 2017-1, as acknowledged by academic agreements. His commitment to collaboration was honored with mentions in 2010, 2009, and 2008 at I.E.D Laura Vicuña headquarters Lorencita Villegas. Additionally, his exceptional academic prowess was acknowledged with an honorable mention in 2006. Aldo’s journey is marked by consistent dedication and recognition in the academic realm. 🏆📚


  • “Preliminary Results of an IoT-based Prototype Monitoring System for Physicochemical Parameters and Water Level in an Aquifer: Case of Santa Marta, Colombia”
    • Year: 2024
    • Type: Conference Paper
    • Date: 2024-01-15
  • “Diseño de un Manual de Procedimientos en el Área de Inventario para la Empresa Serviteca AltaGama S.A.S.”
    • Year: 2023
    • Type: Dissertation/Thesis
    • Date: 2023-06-08
    • Source: Repositorio Institucional (UCC) 📚📅
  • “Diseño e Implementación de una Mesa Sísmica Electromecánica para la Evaluación del Comportamiento Dinámico de Estructuras a Escala”
    • Year: 2022
    • Type: Conference Poster
    • Date: 2022-08-25
    • Source: Red Colombiana de Semilleros de Investigación, Nodo Magdalena 📝🎓
  • “Revisión de los Sistemas de Control de Variables Ambientales para el Cultivo de Tomate en Invernadero”
    • Year: 2022
    • Type: Disclosure
    • Date: 2022-01-12
    • Source: Repositorio UCC 🌱📖




Dr. Saul Solorio Fernández | Computational Intelligence | Best Researcher Award | 2048

Dr. Saul Solorio Fernández | Computational Intelligence | Best researcher Award

Dr. Saul Solorio Fernández is a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:


Professional Goals

As a specialist in developing pattern recognition and data mining algorithms, I bring over 10 years of experience to the field. Collaborating with various Mexican educational and government institutions like UNAM, INNEL, SEMAR, and CFE, I’m recognized for teamwork and adaptability in diverse projects.

Computer Skills

Operating Systems: Linux, MacOS, Windows Programming Languages: Java, Python, C Mathematical Software: Matlab, Octave, Mathematica Data Mining Libraries and Frameworks: Weka, RapidMiner, Orange, SMILE, Rattle, Encog, scikit feature, Scikit Learn Office Suites and Document Preparation Systems: Latex, Microsoft Office, iWork Productivity Suite, LibreOffice Reference Management Software: Mendeley, Zotero, JabRef, KBibteX

Academic Background

Ph.D. in Computer Science from INAOE | January 2016-June 2020 M.Sc. in Computer Science from INAOE | August 2008-November 2010 BSc. in Mathematics (Computing area) from Universidad Autónoma de Guerrero (UAGRO) | August 2002-February 2006

Work Experience

Advisor and collaborator in the Smart Electric Networks and Micro Grids project | 2021 Scientific advisor and developer in the system proposal for Volkswagen Puebla | 2020 Data scientist and developer in the project for preventing atmospheric electric discharges | 2015-2016 Scientific advisor, data analyst, and programmer in various projects for institutions like SEMAR, Mexican Navy, and CFE | 2012-2015

Courses and Accomplishments

Completed various courses on computational thinking, web scraping, OOP, data engineering, and data science. Proficient in Spanish (Native) and English (TOEFL score: 556)


Passionate about chess Plays guitar and piano, enjoys singing Enjoys swimming, athletics, cycling, exploring cultures, and traveling

Additional Information

Date of Birth: November 08, 1983 Nationality: Mexican Availability for travel or changing residence: Yes Academic activities include teaching experience, online course instruction, and presentations at seminars.

Academic Activities and Professional Services

Full-time Professor/Researcher at Universidad Tecnológica de la Mixteca (UTM) Instructor in online courses related to machine learning and data analysis Engaged in teaching, research, and contributions to international journals as a reviewer.

Other Professional/Academic Activities and Awards

Member of the National System of Researchers (SNI) from 2021-2025 Honorable Mention for academic achievements Supervised Bachelor Theses and participated in academic exchanges at various international universities.

Publications Top Note :