Juan Antonio Vega Fernández
Antonio is a specialist in Artificial Intelligence and Software Engineering who has been involved in innovation projects in industry and academia. He has worked in improving the performance and accuracy of Machine Learning algorithms for sentiment analysis in Social Networks and he has also been team leader and developer of Intelligent Systems implementing Knowledge-Based Systems, Genetic Algorithms & Machine Learning Algorithms in industry. He has achieved certifications from the Software Engineering Institute (SEI) at Carnegie-Mellon University as TSP/PSP Developer, Coach & Instructor and led the adoption of CMMI & TSP in software development companies. As an academic he has been a lecturer teaching undergraduate and graduate courses on Software Engineering, Deep Learning and Data Mining and directs research theses and projects on Machine and Deep Learning. He was the chair of the Computer Science Department at Tecnológico de Monterrey in Guadalajara, and he is a Speaker at national and international conferences in Artificial Intelligence & Software Engineering.
Education
Master in Educational Technology
Tecnológico de Monterrey (ITESM), Universidad Virtual.
2003
Master of Science in Computer Science
Tecnológico de Monterrey (ITESM), Monterrey, N. L.
1992
B. Sc. in Computer Science
ITESO Universidad Jesuita, Guadalajara, Jalisco.
1989
Certifications
Team Software Process Coach
Software Engineering Institute, Carnegie Mellon University
2007
Personal Software Process Instructor
Software Engineering Institute, Carnegie Mellon University
2007
PSP Certified Developer
Software Engineering Institute, Carnegie Mellon University
2007
CTE Certified Instructor
Carnegie Tech. Education, Carnegie Mellon University
2002
Facilitator in Problem Based Learning
Sistema Tecnológico de Monterrey, ITESM.
2002
Teaching Skills Certification
Sistema Tecnológico de Monterrey, ITESM.
2002
Skills & Tools
Programming Languages: Python (numpy, scypy, scikitlearn, keras, tensorflow, matplotlib, pandas), JAVA, C#, C++, C, Scheme, Lisp, Prolog, and others.
AI Tools: Knowledge-Based Systems shells like PC-Plus, Knowledge Pro, CLIPS, Level 5 Object. Genetic Algorithms, Neural Networks, Deep Learning, Machine Learning Algorithms.
Productivity & Quality Process: CMMI, PSP, TSP, MS Project, Agile Methodologies, Scrum, MS Project, MS Word, MS PowerPoint, MS Excel, MS Access, MS Outlook.
Other Computing Skills: Windows, Linux (Sysadmin), OS X, Mathematica (equations, graph), Octave/Matlab (small ML programs), SPSS (descriptive statistics, statistical testing), SAS (survival analysis), HTML.
Soft Skills: Leadership (Multicultural team, manager, director), Communications (Conferences, scientific papers), Teamwork, Creativity and Problem Solving, Work Ethic.
Advanced Training & Specialized Courses
Workshop on Intelligent Learning Environments (WILE), MICAI 2018.
Deep Learning Applied to Facial expression recognition with Keras-TensorFlow, MICAI 2018.
Intermediate Concepts of CMMI Version 1.2, Software Engineering Institute, Carnegie Mellon Univ., 2008.
Team Software Process Coach Training, Software Engineering Institute, Carnegie Mellon University, 2007.
PSP Instructor Training, Software Engineering Institute, Carnegie Mellon University, 2007.
PSP/TSPi Faculty Workshop, Software Engineering Institute, Carnegie Mellon University, 2006.
Personal Software Process for Engineers, Software Engineering Institute, Carnegie Mellon University, 2006.
Software Quality Engineering, Southern Methodist University & Tecnológico de Monterrey, 2005.
Software Project Management, Southern Methodist University & Tecnológico de Monterrey, 2004.
Introduction to CMMI, V 1.1, European Software Institute. 2003.
Software Product Lines, ACM SIGPLAN Conference on OOPSLA Anaheim, CA.2003.
2nd Microsoft .NET Crash Course, St. John’s College, Cambridge University. Cambridge, UK, 2002.
PBL Advanced Author Designer, Center for Ed. Tech., Wheeling Jesuit University, USA, 2001.
PBL Program Advanced Workshop, Center for European Studies, Maastricht University, Netherlands, 2000.