About me
doc. Ing. Giang NGUYEN, PhD.
Associate Professor of Computer Science
Faculty of Informatics and Information Technologies, Slovak University of Technology [ FIIT STU ]
Ilkovičova 2, Bratislava 842 16, Slovakia
Email: giang.nguyen [at] stuba.sk
Responsible AI and creative solving of scientific and technological problems
Machine Learning, Deep Learning, Applied Soft Computing, Privacy and Security, NLP/IT/HPC/PDC
Linkedin | Google scholar
Associate Professor of Computer Science
Faculty of Informatics and Information Technologies, Slovak University of Technology [ FIIT STU ]
Ilkovičova 2, Bratislava 842 16, Slovakia
Email: giang.nguyen [at] stuba.sk
Responsible AI and creative solving of scientific and technological problems
Machine Learning, Deep Learning, Applied Soft Computing, Privacy and Security, NLP/IT/HPC/PDC
Linkedin | Google scholar
Education and Experience
docent in Applied Informatics from Slovak University of Technology
IIA scientific qualification in Applied Informatics from Slovak Academy of Sciences
PhD. in Applied Informatics from Slovak University of Technology
Ing. in Information Technology from Slovak University of Technology
Courses at FIIT STU: Intelligent System Applications [ ISA_I ] Foundations of Generative AI and Applied Machine Learning
Courses at FIIT STU: Inteligentná analýza údajov [ IAU_B ] Introduction to Data Science
Courses at STU: Data Structures and Algorithms (3 years), Computer Architecture (4 years), Parallel Programming (5 years)
Founder and leader of the research group [ IDSA ] at FIIT STU
Chairman and member of committees
Reviewer and editor for scientific journals, organizator of international conferences
IEEE Senior Member - Advancing Technology for Humanity and [ STEM ] Education
IEEE Computer Society
IEEE Computational Intelligence Society
IIA scientific qualification in Applied Informatics from Slovak Academy of Sciences
PhD. in Applied Informatics from Slovak University of Technology
Ing. in Information Technology from Slovak University of Technology
Courses at FIIT STU: Intelligent System Applications [ ISA_I ] Foundations of Generative AI and Applied Machine Learning
Courses at FIIT STU: Inteligentná analýza údajov [ IAU_B ] Introduction to Data Science
Courses at STU: Data Structures and Algorithms (3 years), Computer Architecture (4 years), Parallel Programming (5 years)
Founder and leader of the research group [ IDSA ] at FIIT STU
Chairman and member of committees
Reviewer and editor for scientific journals, organizator of international conferences
IEEE Senior Member - Advancing Technology for Humanity and [ STEM ] Education
IEEE Computer Society
IEEE Computational Intelligence Society
Skills
Applied Soft Computing:
data intelligence, ML/DL, computational intelligence, information technology
Python, Keras, Tensorflow, PyTorch, Scikit-Learn, NumPy, SciPy, Pandas, StatsModels, MatplotLib ...
Unix, Mac OS, Windows, PBS, HDFS, Apache Spark, GIS,
Java, C++, MPI, MS Visual C, PHP, MySQL, JQuery, AJAX, CSS, responsive WD, CMS,
Microsoft/Libre/Open Office, Latex, GIMP ...
Python, Keras, Tensorflow, PyTorch, Scikit-Learn, NumPy, SciPy, Pandas, StatsModels, MatplotLib ...
Unix, Mac OS, Windows, PBS, HDFS, Apache Spark, GIS,
Java, C++, MPI, MS Visual C, PHP, MySQL, JQuery, AJAX, CSS, responsive WD, CMS,
Microsoft/Libre/Open Office, Latex, GIMP ...