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Dr Pepijn van de Ven

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Pepijn van de Ven is a Senior Lecturer in the department of Electronic & Computer Engineering, Faculty of Science and Engineering, at the University of Limerick (UL). Pepijn received an MSc in Electronic Engineering from the Eindhoven University of Technology (Netherlands) in 2000. He subsequently worked for Philips Research Laboratories investigating new RF front-ends for 3G handsets. In 2002 Pepijn obtained an IRCSET award to pursue a PhD at UL on the ‘Identification and Control of Marine Vehicles Using Artificial Intelligence Techniques’. After finalizing his PhD in 2005, Pepijn had several postdoctoral positions in the area of technologies for ambient assisted living before becoming a Senior Research Fellow in 2007. In 2018 he joined UL's teaching staff as a Senior Lecturer. Pepijn has secured numerous national and international research awards totalling more than €1.7 million in funding to UL and is currently UL lead on the UK-MRC funded PROACTIVE project with King's College London and the University of São Paulo.

Pepijn’s research interests are the application of artificial intelligence and machine learning to mobile sensing for biomedical applications with a particular focus on the area of eMental Health. Furthermore Pepijn has a keen interest in mobile app development for Android.


Msetfi R, O'Sullivan D, Walsh A, Nelson J, Van de Ven P Using Mobile Phones to Examine and Enhance Perceptions of Control in Mildly Depressed and Nondepressed Volunteers: Intervention Study JMIR Mhealth Uhealth 2018;6(11):e10114 URL: DOI: 10.2196/10114 PMID: 30413398

Van de Ven, P., H. O'Brien, R. Henriques, M. Klein, R. Msetfi, J. Nelson, A. Rocha, J. Ruwaard, D. O'Sullivan, and H. Riper, ULTEMAT: A mobile framework for smart ecological momentary assessments and interventions. Internet Interventions, 2017. 9: p. 74-81.

Soares Teles, A., A. Rocha, F. José da Silva E Silva, J. Correia Lopes, D. O'Sullivan, P. Van de Ven, and M. Endler, Enriching Mental Health Mobile Assessment and Intervention with Situation Awareness. Sensors (Basel, Switzerland), 2017. 17(1).

Guiry, J.J., P. van de Ven, J. Nelson, L. Warmerdam, and H. Riper, Activity recognition with smartphone support. Medical Engineering and Physics, 2014. 36(6): p. 670-675.

Power, V., P. Van De Ven, J. Nelson, and A.M. Clifford, Predicting falls in community-dwelling older adults: A systematic review of task performance-based assessment tools. Physiotherapy Practice and Research, 2014. 35(1): p. 3-15.