|
Marcos André Oliveira Ramos |
Email:
andreramos@outlook.pt,
pg28503@alunos.uminho.pt
|
Marcos André Ramos got a degree in Informatics Engineering at the University of Minho and,
at the present, he is a M.Sc. student in Informatics Engineering at the same university.
Marcos has studied Formal Methods of Software Engineering and Languages Processing,
with a special focus in Natural Language Processing.
|
|
|
Maria João Tinoco Varanda Pereira |
Email:
mjoao@ipb.pt
|
Maria João Tinoco Varanda Pereira has a PhD from University of Minho
and a Master on Software Engineering from the same university. She is Adjunct Professor at
Polytechnic Institute of Bragança and member of Processing Language Group at Minho
University. The research work, in the past years and in the future, is deeply related with
the formal specification of languages, automatic construction of compilers and other
language-based tools, conception and implementation of textual and visual domain specific
languages, visualization and animation of programs and program comprehension. |
|
|
Pedro Rangel Henriques |
Email:
pedrorangelhenriques@gmail.com
|
Webpage:
http://www4.di.uminho.pt/~prh/
|
Rangel Henriques got a degree in "Electrotechnical/Electronics
Engineering", at FEUP (Porto University), and finished a Ph.D. thesis in "Formal Languages and
Attribute Grammars" at University of Minho. In 1981 he joined the Computer Science Department
of University of Minho, where he is a teacher/researcher. Since 1995 he is the coordinator of
the "Language Processing group" at CCTC (Computer Science and Technologies Center). He teaches
many different courses in the broader area of programming: Programming Languages and Paradigms;
Compilers, Grammar Engineering and Software Analysis and Transformation; etc. Pedro Rangel
Henriques has supervised 11 Ph.D. thesis, more than 30 M.Sc. thesis, and many graduating
trainingships/projects, in the areas of: language processing (textual and visual), and
structured document processing; code analysis, program visualization/animation and program
comprehension; knowledge discovery from databases, data-mining, and data-cleaning. |
|