Awards and Distinctions
Awards and Distinctions
Tiago Oliveira of NOVA IMS featured in the prestigious list "Highly Cited Researchers 2021"
The NOVA IMS researcher Tiago Oliveira was included in the prestigious 2021 edition of the “Highly Cited Researchers” index, an initiative by Clarivate Analytics that recognizes the most influential scientists worldwide, that rank in the top 1% worldwide, by number of citations per field, in the Web of Science.
This list highlights a total of 6602 scientists from 70 countries and 21 research areas.
Professor Marco Painho recognized with the Student Mentorship Service (Award)
Today we congratulate Marco Painho, Professor at NOVA IMS, who was recognized with the Student Mentorship Service (Award) by the United States Geospatial Intelligence Foundation. This recognition is based on his demonstrated commitment to GEOINT student mentorship and promoting a positive and inclusive scholarly environment.
Professor Paulo Rita received the "Highly Commended Award"
NOVA IMS Professor Paulo Rita received the "Highly Commended Award" for his article "Brand Strategies in Social Media in Hospitality and Tourism" published in the International Journal of Contemporary Hospitality Management.
This is a very honorable distinction and is awarded by a Scopus Decile 1 (Top 10%) scientific journal.
PhD student Afshin Ashofteh and Jorge Bravo has won the first prize
A paper jointly written by NOVA IMS PhD student Afshin Ashofteh and Jorge Bravo, Professor at NOVA IMS presented at the 8th International Conference on Risk Analysis and Design of Experiments in Vienna has won the first prize for the best paper presented at the Conference.
This paper aimed at the case of credit scoring for risk management. It presented a novel method for credit scoring to be used for default prediction. Financial institutions and lenders use credit scores to assess the creditworthiness of new clients and to decide whether to grant credit or approve a loan. Recently, mobile phones provide data sources in the form of call-detail records (CDR) and many other log files. These new sources of Big Data attain much more importance to provide smarter credit-scoring models not only for customers of banks but also for largely unbanked population who has no regular credit history. Therefore, this new credit scoring methodology represents a machine-learning algorithm for Big Data sources, which is less expensive in computation with higher accuracy in compare with current algorithms.
The ICRA conferences are organized every two years by the ISI Committee on Risk Analysis (ISI-CRA), one of the nine Special Interest Groups of the ISI. This year’s conference focuses on Risk Analysis and Experimental Design and it was devoted to the Distinguished Professor Samad Hedayat from UIC-USA.
Bruno Damásio, NOVA IMS and ISEG and Diogo Martins were awarded the "António Dornelas Prize"
Bruno Damásio, NOVA IMS and ISEG and Diogo Miguel Gomes Martins were awarded the "António Dornelas Prize", edition of 2018.
The award-winning work is entitled “Do Labor Market Reforms Pay Off? Unemployment and Capital Accumulation in Portugal”.
The "António Dornelas Prize" has an annual character and rewards scientific or technical works developed by students, researchers and university professors in the areas of work, employment, vocational training and industrial relations, whether social security and solidarity, or the inclusion of people with disabilities. The award has a pecuniary benefit in the amount of 2000 euros.
Professor Tiago Oliveira awarded with “Citation of Excellence 2017” prize
The award “Citation of Excellence 2017” was given to Tiago Oliveira, teacher at NOVA IMS, to Manoj Thomas and to Mariana Espadanal, due to their article “Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors.”, at ECIS the European Conference on Information Systems.
This article was aknowledge as being one of the most quoted and influencial articles published in 2014 referring to the areas of Business Management, Finance, Accounting, Economy and Marketing.