Ana Tapia-Rosero

Ana Tapia-Rosero is a tenured professor and researcher at the Faculty of Electrical and Computer Engineering (FIEC) at Escuela Superior Politécnica del Litoral (ESPOL). She is a Computer Engineer (Espol) and has a Doctor of Engineering degree from Ghent University (Belgium). Her research is focused on computational intelligence for decision making in presence of large heterogenous groups where preferences or opinions of the participants are given from different perspectives which might include constraints. Her research is focus on evaluating relevant / representative / subjective preferences and how to fusion different perspectives (e.g., social, technical, financial or environmental) with the objective of making better motivated decisions based on data science and computational intelligence techniques. 

Her research interests are focused on explainable artificial intelligence (XAI) that promotes transparency, ethics, explainability and equity to make more informed decisions. She considers that explainability is the cornerstone of AI systems (machine learning, neural networks, fuzzy logic, among other techniques) to promote trust among programmers and users. 

Research area:  Artificial Intelligence, Explainable Artificial Intelligence, Data Science.

• Tapia-Rosero, A., Bronselaer, A., De Mol, R., & De Tré, G. (2016). Fusion of preferences from different perspectives in a decision-making context. Information Fusion, 29, 120-131.

• Tapia-Rosero, A., Bronselaer, A., & De Tré, G. (2014). A method based on shape-similarity for detecting similar opinions in group decision-making. Information Sciences, 258, 291-311.

• Tapia-Rosero, A., & De Tré, G. (2014, October). Evaluating Relevant Opinions within a Large Group. In IJCCI (FCTA) (pp. 76-86).

• Loor Romero, M., Tapia-Rosero, A., & De Tré, G. (2018). Usability of concordance indices in FAST-GDM problems. In 10th International Joint Conference on Computational Intelligence (pp. 67-78).

• Tapia-Rosero, A., De Mol, R., & De Tré, G. (2016). Handling uncertainty degrees in the evaluation of relevant opinions within a large group. In Computational intelligence (pp. 283-299). Springer, Cham.

• Tapia Rosero, A., & De Tré, G. (2014). A cohesion measure for expert preferences in group decision-making. In Modern approaches in fuzzy sets, intuitionistic fuzzy sets, generalized nets and related topics: volume II: applications (Vol. 2, pp. 125-142). SRI-PAS.

• Tapia Rosero, A., Bronselaer, A., & De Tré, G. (2012). Similarity of membership functions: a shaped based approach. In International Conference on Fuzzy Computation Theory and Applications (FCTA-2012) (pp. 402-409). Ghent University, Department of Telecommunications and information processing.

• Loor, M., Tapia-Rosero, A., & De Tré, G. (2017). Refocusing attention on unobserved attributes to reach consensus in decision making problems involving a heterogeneous group of experts. In Advances in Fuzzy Logic and Technology 2017 (pp. 405-416). Springer, Cham.

• Tapia Rosero, A. (2016). Handling a large number of preferences in a multi-level decision-making process (Doctoral dissertation, Ghent University).

• De Mol, R., Tapia Rosero, A., & De Tré, G. (2015). An approach for uncertainty aggregation using generalised conjunction/disjunction aggregators. In 16th World Congress of the International Fuzzy Systems Association (IFSA); 9th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT) (Vol. 89, pp. 1499-1506). Atlantis Press.

• IEEE Senior Member

• IEEE Women in Engineering

• IEEE Computational Intelligence Society (CIS) 

• IEEE Computer Society (CS)

• European Society for Fuzzy Logic and Technology (EUSFLAT)

Research Groups

• ESPOL: Artificial Intelligence (AI)

• National: Red Ecuatoriana de Investigación en Inteligencia Artificial (REDIIA), Red Ecuatoriana de Mujeres Científicas (REMCI).

• International: EUSFLAT Working Group on Soft Computing in Database Management and Information Retrieval (SCDMIR), Task Force on Explainable Fuzzy Systems (TF-EXFS) which is a Task Force of the Fuzzy Systems Technical Committee (FSTC) which belongs to the Computational Intelligence Society (CIS) of the Institute of Electrical and Electronic Engineers, Inc. (IEEE).

• Professor at Espol since 2006 teaching courses such as Programming Fundamentals, Data Structures, Discrete Math, File Systems, Operating Systems, Entrepreneurship and Technological Innovation and Algorithm Analysis.

• University management experience on activities such as program coordinator and ABET international accreditation coordinator for the computer science program, in addition to evaluation and strategic management coordinator at FIEC; and, quality assurance and accreditation activities at Espol.