Albert Aldenkamp is Part-time Professor in the Department of Electrical Engineering of Eindhoven University of Technology (TU/e). Within the Signal Processing System group, Aldenkamp focuses on brain MR-imaging and detailed processing of MR signals, specifically to understand processes of neurodegeneration. This is the next evolution of his research background in epilepsy and its cognitive comorbidities. Aldenkamp is an internationally renowned epilepsy researcher, who has held professorships at multiple universities and is currently still a professor at Maastricht University Medical Center (MUMC) and a key research, strategy and management figure at Kempenhaeghe Epilepsy Centre. In a collaborative multi-year project of TU/e, MUMC and Kempenhaeghe, Aldenkamp leads a multimodal MRI program that connects technological and clinical expertise. In his capacity as professor at TU/e, Aldenkamp focuses on using signal analysis for research into causality, neurodegeneration, neuromodulation and neuropharmacology. Until 2012, Aldenkamp was Editor-in-Chief of the European Journal of Epileptology. He is currently a member of the Editorial Boards of medical journals such as: Epilepsy and Behaviour, Acta Neurologica Scandinavica and Clinical Neurology and neurosurgery, a member of the International Advisory Board of two Pharmaceutical companies, and a member of the Dutch advisory Board for two pharmaceutical industries.
Albert Aldenkamp obtained his PhD on Cognition and Epilepsy from Groningen University in 1984 and has held several professorates. He was appointed professor in Leiden in 1991 and in Amsterdam in 1998. Since 2002, he is Chair of Epileptology and Neurocognition of Maastricht University Medical Centre and Head of the Epilepsy Imaging Research Group of the Research School Mental Health and Neurosciences (MHeNS) of the University of Maastricht. In addition, he holds several roles at Kempenhaeghe Epilepsy Centre, such as Head of the Department of Behavioral Research. In 2013, he was appointed part-time professor of Cognition and Imaging in Epilepsy at Eindhoven University of Technology.
Finding predictive EEG complexity features for classification of epileptic and psychogenic nonepileptic seizures using imperialist competitive algorithm31st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2018 (2018)
Psychogenic nonepileptic seizures in adults with epilepsy and intellectual disabilitySeizure (2018)
Functional network abnormalities consistent with behavioral profile in autism spectrum disorderPsychiatry Research - Neuroimaging (2018)
Brain resting-state networks in adolescents with high-functioning autism : analysis of spatial connectivity and temporal neurodynamicsBrain and Behavior (2018)
Accuracy of WISC-III and WAIS-IV short forms in patients with neurological disordersDevelopmental Neurorehabilitation (2018)
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