People

Dr Serafeim Perdikis

Lecturer
School of Computer Science and Electronic Engineering (CSEE)
Dr Serafeim Perdikis

Profile

Biography

I was born in Thessaloniki, Greece in 1984. I received the M.E. degree in Electrical and Computer Engineering from the Aristotle University of Thessaloniki (AUTH) in 2007 and the Ph.D. degree in brain-computer interaction (BCI) from the Swiss Federal Institute of Technology in Lausanne (EPFL) in 2014, where I subsequently served as a post-doctoral researcher until May 2015. My thesis title is "Mutual learning and spelling in Motor Imagery BCI". In June 2015 I joined the Wyss Center for Bio- and Neuro-engineering at Campus Biotech, Geneva, Switzerland working on BCI-based stroke rehabilitation. Between November 2017 and February 2019 I have been employed by Mindmaze SA as Biosignal Research Engineer. As of February 2019 I am serving as a Lecturer of the Neural Engineering and BCI Laboratory at the University of Essex, School of Computer Science and Electronic Engineering, UK. My main areas of research interest include theoretical and applied machine learning, bio-signal processing, mutual learning and co-adaptation in BCI, as well as translational and rehabilitation applications of BCI.

Qualifications

  • Diploma in Electrical and Computer Engineering Aristotle University of Thessaloniki, (2007)

  • PhD in Brain-Computer Interaction École Polytechnique Fédérale de Lausanne, (2014)

Appointments

University of Essex

  • Lecturer, School of Computer Science and Electronic Engineering, University of Essex (1/2/2019 - present)

Other academic

  • Lecturer, School of Computer Science and Electronic Engineering, University of Essex (1/2/2019 - present)

Research and professional activities

Research interests

Brain-Computer Interface

Key words: brain-computer interface

Machine Learning

Key words: Applied Machine Learning

Learning

Key words: mutual learning

Translational applications of BCI

Key words: Stroke Rehabilitation

Teaching and supervision

Current teaching responsibilities

  • Mathematics for Engineers (CE142)

  • Application Programming (CE203)

  • Team Project Challenge (CS) (CE291)

  • Team Project Challenge (CSE) (CE292)

  • Team Project Challenge (EE) (CE293)

  • Team Project Challenge (WBL) (CE299)

Publications

Journal articles (15)

Perdikis, S., Bayati, H., Leeb, R. and Millan, JDR., Evidence Accumulation in asynchronous BCI. International journal of bioelectromagnetism. 13 (3), 131-132

Tonin, L., Perdikis, S., Leeb, R. and Millan, JDR., A BCI-driven telepresence robot. International Journal of Bioelectromagnetism. 13 (4), 125-126

Bevilacqua, M., Perdikis, S. and Millan, JDR., (2020). On Error-related Potentials during Sensorimotor-based Brain-Computer Interface: Explorations with a Pseudo-Online Brain-Controlled Speller. IEEE Open Journal of Engineering in Medicine and Biology, 1-1

Krauth, R., Schwertner, J., Vogt, S., Lindquist, S., Michael, S., Almut, S., Lamprecht, J., Perdikis, S., Corbet, T., Millan, JDR., Hinrichs, H., Heinze, H-J. and Sweeney-Reed, C., (2019). Cortico-muscular coherence is reduced acutely post-stroke and increases bilaterally during motor recovery: a pilot study. Frontiers in Neurology. 10 (FEB), 126-

Noel, J-P., Chatelle, C., Perdikis, S., Jöhr, J., Lopes Da Silva, M., Ryvlin, P., De Lucia, M., Millán, JDR., Diserens, K. and Serino, A., (2019). Peri-personal space encoding in patients with disorders of consciousness and cognitive-motor dissociation. NeuroImage: Clinical. 24, 101940-101940

Biasiucci, A., Leeb, R., Iturrate, I., Perdikis, S., Al-Khodairy, A., Corbet, T., Schnider, A., Schmidlin, T., Zhang, H., Bassolino, M., Viceic, D., Vuadens, P., Guggisberg, AG. and Millán, JDR., (2018). Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke. Nature Communications. 9 (1), 2421-

Perdikis, S., Tonin, L., Saeedi, S., Schneider, C. and Millán, JDR., (2018). The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users. PLoS Biology. 16 (5), e2003787-e2003787

Corbet, T., Iturrate, I., Pereira, M., Perdikis, S. and Millán, JDR., (2018). Sensory threshold neuromuscular electrical stimulation fosters motor imagery performance. NeuroImage. 176, 268-276

Randazzo, L., Iturrate, I., Perdikis, S. and Millán, JDR., (2018). mano: A Wearable Hand Exoskeleton for Activities of Daily Living and Neurorehabilitation.. IEEE Robotics and Automation Letters. 3 (1), 500-507

Perdikis, S., Tonin, L. and del R. Millan, J., (2017). Brain racers. IEEE Spectrum. 54 (9), 44-51

Perdikis, S., Leeb, R. and Millán, JDR., (2016). Context-aware adaptive spelling in motor imagery BCI. Journal of Neural Engineering. 13 (3), 036018-036018

Sollfrank, T., Ramsay, A., Perdikis, S., Williamson, J., Murray-Smith, R., Leeb, R., Millán, JDR. and Kübler, A., (2016). The effect of multimodal and enriched feedback on SMR-BCI performance. Clinical Neurophysiology. 127 (1), 490-498

Sagha, H., Perdikis, S., Millan, JDR. and Chavarriaga, R., (2015). Quantifying Electrode Reliability During Brain–Computer Interface Operation. IEEE Transactions on Biomedical Engineering. 62 (3), 858-864

Perdikis, S., Leeb, R., Williamson, J., Ramsay, A., Tavella, M., Desideri, L., Hoogerwerf, E-J., Al-Khodairy, A., Murray-Smith, R. and Millán, JDR., (2014). Clinical evaluation of BrainTree, a motor imagery hybrid BCI speller. Journal of Neural Engineering. 11 (3), 036003-036003

Leeb, R., Perdikis, S., Tonin, L., Biasiucci, A., Tavella, M., Creatura, M., Molina, A., Al-Khodairy, A., Carlson, T. and Millán, JDR., (2013). Transferring brain–computer interfaces beyond the laboratory: Successful application control for motor-disabled users. Artificial Intelligence in Medicine. 59 (2), 121-132

Book chapters (2)

Andrews, R. and Perdikis, S., Neurotechnology: brain-machine interfaces, Medlink Neurology. Editors: Greene, J.,

Leeb, R., Chavarriaga, R., Perdikis, S., Iturrate, I. and Millan, JDR., (2015). Moving Brain-Controlled Devices Outside the Lab: Principles and Applications. In: Recent Progress in Brain and Cognitive Engineering. Editors: Lee, S-W., Bülthoff, H. and Müller, K-R., . Springer. 9401772398. 9789401772396

Conferences (28)

Perdikis, S., Bourban, F., Rouanne, V., Millán, JDR. and Leeb, R., Effects of data sample dependence on the evaluation of BCI performance

Perdikis, S., Noel, JP., Silva, M., Chatelle, C., Johr, J., Pincherle, A., Pignat, J-M., Millan, JDR., Serino, A. and Millan, JDR., EEG paradigms as a supplemental tool to behavioural assessments of DOC

Corbet, T., Iturrate, I., Pereira, M., Perdikis, S. and Millan, JDR., Importance of feedback modality for brain-machine interface performances

Perdikis, S., BCI-NMES therapy enhances effective connectivity in the damaged hemisphere in stroke patients

Leeb, R., Carlson, T., Perdikis, S., Tonin, L., Biasiucci, A. and Millan, JDR., Transferring BCI skills to successful application controls

Perdikis, S., Leeb, R. and Millan, JDR., Effects of adaptation intensity in motor imagery BCI.

Carlson, T., Tonin, L., Perdikis, S., Leeb, R. and Millan, JDR., A hybrid BCI for telepresence

Shaga, H., Perdikis, S., Millan, JDR. and Chavarriaga, R., Toward online detection of BCI performance Serafeim Perdikis, PhD5 degradation

Leeb, R., Molina, A., Al-Khodairy, A., Perdikis, S., Tonin, L., Carlson, T. and Millán, JDR., From BCI training to successful application control

Perdikis, S., Ramsay, A., Leeb, R., Williamson, J., Al-Khodairy, A., Murray- Smith, R. and Millán, JDR., Clinical evaluation of a hybrid-BCI text-entry system

Perdikis, S., Ramsay, A., Leeb, R., Murray-Smith, R. and Millán, JDR., Context-aware, semi-supervised adaptation for BCI

Perdikis, S., Tavella, M., Leeb, R., Chavarriaga, R. and Millan, JDR., A supervised recalibration protocol for unbiased BCI

Leeb, R., Al-Khodairy, A., Biasiucci, A., Perdikis, S., Tavella, M. and Millan, JDR., Are we ready? Issues in transferring BCI technology from experts to users

Tavella, M., Perdikis, S., Leeb, R. and Millan, JDR., Non-intentional control for asynchronous BCI: a statistical approach

Millán, JDR., Chavarriaga, R., Leeb, R., Perdikis, S., Tavella, M., Garipelli, G., Lew, E., Lostuzzo, M. and Tonin, L., BCI research at EPFL

Leeb, R., Perdikis, S., Tavella, M. and Millan, JDR., Multimodal fusion of muscle and brain activity for a hybrid-BCI

Perdikis, S., BCI for augmentingcommunication and control capabilities of disabled people

Perdikis, S., Leeb, R. and Millán, JDR., Feedback controller for mental imagery BCI

Leeb, R., Tavella, M., Perdikis, S. and Millán, JDR., Towards a hybrid-BCI: reliability dependent usage of either muscle or brain activity for a simple control task

Perdikis, S., Leeb, R., Liboni, N., Tangermann, M. and Millán, JDR., TOBI Project: BCI for enhancing communication and control capabilities of disabled people.

Rodriguez-Herreros, B., Perdikis, S., Leeb, R., Serino, A. and Ionta, S., (2019). Neuromodulation of temporal dynamics in on-line visuomotor control by anodal HD-tDCS over the left intraparietal cortex

Schneider, C., Perdikis, S., Silva, M., Johr, J., Pincherle, A., Millan, JDR. and Diserens, K., (2018). Motor Attempt EEG Paradigm as a Diagnostic Tool for Disorders of Consciousness

Corbet, T., Iturrate, I., Pereira, M., Perdikis, S. and Millán, JDR., (2017). Sensory Threshold electrical stimulation enhances Classification of motor imagery.

Perdikis, S., Leeb, R. and Del R Millan, J., (2014). Subject-oriented training for motor imagery brain-computer interfaces

Carlson, T., Tonin, L., Perdikis, S., Leeb, R. and Del R Millan, J., (2013). A hybrid BCI for enhanced control of a telepresence robot

Quek, M., Boland, D., Williamson, J., Murray-Smith, R., Tavella, M., Perdikis, S., Schreuder, M. and Tangermann, M., (2011). Simulating the feel of brain-computer interfaces for design, development and social interaction

Tonin, L., Leeb, R., Tavella, M., Perdikis, S. and Millan, JDR., (2010). The role of shared-control in BCI-based telepresence

Perdikis, S., Tzovaras, D. and Strintzis, MG., (2008). Recognition of Human Actions using Layered Hidden Markov Models.

Reports and Papers (1)

Perdikis, S., Leeb, R., Chavarriaga, R. and Millán, JDR., (2015). Context-aware learning for finite mixture models

Scholarly Editions (1)

Perdikis, S., Tonin, L., Saeedi, S., Schneider, C. and Millan, JDR., The Cybathlon BCI race highlights mutual learning as the roadmap to translational non-invasive motor imagery BCI

Contact

serafeim.perdikis@essex.ac.uk
+44 (0) 1206 872851

Location:

3A.524, Colchester Campus