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 :