Paulo João Figueiredo Cabral Teles Editor at IgMin Research
We focus on encouraging collaboration across disciplines to boost the expansion of knowledge.
Biography
Born in Porto, Portugal, in 1963, city where currently lives. Bachelor’s degree in Economics, University of Porto, 1986; Master’s degree in Mathematical Methods in Economics and Business, University of Lisbon, 1996; Ph.D. in Statistics, Temple University, 1999. Profession: School of Economics, University of Porto – Teaching Assistant in 1986-1999 and Assistant Professor since 1999. Portuguese National Statistical Institute – Statistician with the coordination of the External Trade statistics in the Northern Regional Office in 1989-1990; Northern Regional Director in 2001-2004; Statistical consultant in 2005- 2010. Association membership: American Statistical Association and Portuguese Statistical Society. Supervision of 19 master dissertations in the areas of Economics, Business, Econometrics and Statistics. Talks presented in many conferences.
Research Interest
Biostatistics, Econometrics, Statistics, Time Series Analysis.
Editor
Work Details
Doctor
University of Porto
Department of Mathematics and Information Systems
Portugal
Contribution by Topic Area
Why Publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
Which articles are now trending?
Research Articles
- Evaluating Digital Imaging Technologies for Anogenital Injury Documentation in Sexual Assault Cases
- A Machine Learning-based Method for COVID-19 and Pneumonia Detection
- LC-MS and HPLC-UV for Detecting Uremic Toxins: Two Validated Methods with Simultaneous Sensitivity and Specificity Evaluation
- Analytical Expressions of the Markov Chain of K-Ras4B Protein within the Catalytic Environment and a New Markov-State Model
- From Traditionalism to Algorithms: Embracing Artificial Intelligence for Effective University Teaching and Learning
- Federated Learning- Hope and Scope
