ANAP | Analysis and Applications

About

The group of Analysis and Applications is composed of 30 PhD members, 6 PhD students and 2 scholarships.

The members of this group have long last collaborations with national and foreign researchers and work in a wide variety of topics in fundamental and applied analysis as well as in multidisciplinary applications. The research subjects include Dynamical Systems, Differential Equations, History of Mathematics, Hypercomplex Analysis, Kinetic Theory, Modelling, Numerical Analysis, Orthogonal Polynomials, Robotics, and Scientific Computing.

Coordinator

PHD Members

Non PHD Members

Useful Links

Former group webpage

Last Publications

The closing lemma and the planar general density theorem for sobolev maps

Proceedings of the American Mathematical Society | 2021

M. Bessa

DOI

Discrimination of idiopathic Parkinson?s disease and vascular parkinsonism based on gait time series and the levodopa effect

Journal of Biomechanics | 2021

Carlos Fernandes

Rui L. Lopes

Estela Bicho

Wolfram Erlhagen

Nuno Sousa

Miguel F. Gago

DOI

Prediction of attitudes towards human-centred cognitive vehicles aware of their users' routines and preferences

Ankit R. Patel

Sergio Monteiro

Ana Carolina Silva

Estela Bicho

AR Patel

DOI

Discrimination of idiopathic Parkinson’s disease and vascular parkinsonism based on gait time series and the levodopa effect

Journal of Biomechanics | 2021

DOI

Recent Developments on the Modelling of Cell Interactions in Autoimmune Diseases

From Particle Systems to Partial Differential Equations. ICPS 2019, ICPS 2018, ICPS 2017. Springer Proceedings in Mathematics & Statistics | 2021

Carolina Ribeiro

Fernanda Costa

Rapid Learning of Complex Sequences With Time Constraints: A Dynamic Neural Field Model

IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS | 2021

W Wojtak

E Sousa

L Louro

E Bicho

DOI

Topological aspects of incompressible flows

Journal of Differential Equations | 2021

Mário Bessa

Paulo Varandas

A Human-like Upper-limb Motion Planner: Generating naturalistic movements for humanoid robots

International Journal of Advanced Robotic Systems | 2021

Gianpaolo Gulletta

Eliana Silva

Ruud Meulenbroek

Estela Bicho

DOI

Dynamic Identification of Stop Locations from GPS Trajectories Based on Their Temporal and Spatial Characteristics

Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part IV | 2021

W Wojtak

C Fernandes

P Guimaraes

S Monteiro

E Bicho

W Erlhagen

Continual Learning of Human-like Arm Postures

Gianpaolo Gulletta

Estela Bicho

DOI

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