CV Summary

Isabel Pedrosa has a Ph.D. degree in Information Science and Technology from the ISCTE- Instituto Universitário de Lisboa (2015). She is CIDA, Certified IDEA Data Analyst (2017).

Works as Adjunct Professor at Coimbra Business School (since 2015). Previously, she was a lecturer at Coimbra Business School (2000-2015) and at the College of Education (1998-2000) both at the Polytechnic Institute of Coimbra, Portugal. Isabel has a degree in Informatics Engineering (1994), a masters' degree in Systems and Informatics (2006), both from the University of Coimbra. She is Post-Graduated in Human Resources Management (2018).

Her main research interests are computer-assisted audit tools and techniques, business intelligence and data analytics in fraud detection. She has authored or co-authored more than 40 papers. She has been a session chair and Programme Committee Member in several conferences. 

Isabel is an expert in the assessment and auditing of the program "Formação Contínua na Ordem dos Engenheiros (Sistema OE+AcCEdE®)".

She is Ambassador of ISACA Lisbon Chapter in the program She Leads Tech  (to promote gender equality in the technological sector).

She was an Expert at European Education, Audiovisual, and Culture Executive Agency, Brussels, from 2008 to 2013.

Isabel is Vice-Coordinator of Coimbra Business School Advanced Programmes (2010-2013 and since 2016) and was Vice-Coordinator of the International Relations Office (2015-2018).

Isabel is an Academic Advocate Program Member of ISACA (since 2013) as a "Silver Member" and member of Ordem dos Engenheiros - Computer Science College (since 2009).

Academic Qualifications
University/Institution Type Degree Period
Coimbra Business School
Post-graduation Gestão de Pessoas e Equipas /Human Resources Management 2017 - 2018
ISCTE-IUL - Instituto Superior Ciências Trabalho e da Empresa
PhD Information Science and Technology 2015
Universidade de Coimbra
M.Sc. Systems and Informatics 2006
Universidade de Coimbra
Licenciate Informatics Engineering 1994
Research Interests
Computer-assisted Audit Tools and Techniques
Data Analytics on Fraud Detection
Information Systems Auditing
Business Intelligence
Fraud Analytics
Gender Gap in IT
Computer and Information Sciences Natural Sciences
Computer and Information Sciences Natural Sciences
Computer and Information Sciences Natural Sciences
Computer and Information Sciences Natural Sciences
Computer and Information Sciences Natural Sciences
Computer and Information Sciences Natural Sciences
Computer and Information Sciences Natural Sciences