Instituto Superior de Agronomia

The Instituto Superior de Agronomia – ISA (School of Agronomy) is the faculty of agricultural sciences of the University of Lisbon. It is the first school in Portugal in agricultural sciences and related areas like forestry, food science, environment science, biology or landscape architecture. ISA is situated in Lisbon and spreads over a green and wooded area of around 250 acres providing a very friendly environment for studying and researching. Although academic education and research activities have been practiced for 150 years, a considerable dynamism is shown by keeping up with initiatives like the European Union Lisbon Strategy and Bologna Treaty. Our core business is Higher Education, Research & Development and Technology Transfer.

At ISA about 1200 students are currently enrolled in 3 levels of study (first cycle, second cycle, and third cycle – PhD). The teaching staff consists of about 150 professors and researchers.

 

jose_pauloJosé Paulo Mourão de Melo e Abreu is Associate Professor w/ Habilitation in the Instituto Superior de Agronomia, University of Lisbon, and has undertaken researched in the areas of Agrometeorology and Modelling in Horticulture and Agriculture. Has directed a 1200 ha farm and was leader of NovoMilho (cooperation project with Angola in Agricultural Development). Published about eighty publications, including two FAO books, and delivered about fifty invited talks in Portugal and abroad. Developed twelve models. He is the national representative of Portugal in the European Society for Agronomy, is a referee of about twenty international journals and has organized three international meetings. Has been responsible for six research projects, including two international, and cooperated in many others.

Ana Ferreira (Auxiliar professor, PhD) graduated at Technical University of Lisbon in Applied Mathematics and Computation. Her research interests are Extreme Value Theory in Probability and Statistics and its Applications. In particular she has deeply studied estimation of high quantiles and tail probabilities and applied it to return value estimation of extreme precipitation weather events. She is co-author (with Laurens de Haan from Erasmus University Rotterdam, The Netherlands) of the monograph, Extreme Value Theory: An Introduction, Springer (1996).