Prof. Dr.-Ing. Ivan Volosyak

Biomedicine and Engineering

Faculty of Technology and Bionics

Professor

Contact

Telephone

+49 2821 80673 643

Write email

Location

Kleve Campus

Marie-Curie-Straße 1, 47533 Kleve

Contact in Faculty of Technology and Bionics

Location

Kleve Campus

Marie-Curie-Straße 1, 47533 Kleve

Profile

Kiser, A., Cantürk, A., & Volosyak, I. (2026). SSVEP-driven BCI authentication with reduced number of EEG electrodes across high and low frequency ranges. Frontiers in Neuroergonomics, 7, 1741655. https://doi.org/10.3389/fnrgo.2026.1741655.
Cantürk, A., & Volosyak, I. (2025). Brainwave-Based TAN Authentication: An SSVEP BCI for Secure Web Transactions. In IEEE (editor), 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 7365–7371). IEEE. https://doi.org/10.1109/smc58881.2025.11342717.
Cantürk, A., Herschel, H., & Volosyak, I. (2025). Comparative Analysis of ChatGPT-3.5 Turbo and GPT-4 Turbo for Communication Aid in cVEP-Based BCI Speller Systems. In J. L. Pons, J. Tornero, & M. Akay (editors), Converging Clinical and Engineering Research on Neurorehabilitation V. Proceedings of the 6th International Conference on Neurorehabilitation (ICNR 2024), November 5–8, 2024, La Granja, Spain - Volume 1 (1 ed., pp. 675–679). SPRINGER INTERNATIONAL PUBLISHING AG. https://doi.org/10.1007/978-3-031-77588-8_132.
Fodor, M. A., & Volosyak, I. (2025). Towards Visual-Fatigue-Free BCI with Imperceptible Visual Evoked Potentials (I-VEP). In IEEE (editor), 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 3813–3818). IEEE. https://doi.org/10.1109/smc58881.2025.11343413.
Fodor, M. A., Cantürk, A., Le, T.-P.-N., Heisenberg, G., & Volosyak, I. (2025). Evaluation of Efficient and Performance-Retaining cVEP-BCI Class Augmentation. In IEEE (editor), 2025 13th International Conference on Brain-Computer Interface (BCI). IEEE. https://doi.org/10.1109/bci65088.2025.10931291.
Fodor, M., Cantürk, A., Heisenberg, G., & Volosyak, I. (2025). Streamlining cVEP Paradigms: Effects of a Minimized Electrode Montage on Brain–Computer Interface Performance. Brain Sciences, 15(6), 1. https://doi.org/10.3390/brainsci15060549.
Fodor, M. A., & Volosyak, I. (2025). Graph-Attentive CNN for cVEP-BCI with Insights into Electrode Significance. In I. Rojas, G. Joya, & A. Catala (editors), Advances in Computational Intelligence. 18th International Work-Conference on Artificial Neural Networks, IWANN 2025, A Coruña, Spain, June 16–18, 2025, Proceedings, Part II (pp. 558–571). SPRINGER INTERNATIONAL PUBLISHING AG. https://doi.org/10.1007/978-3-032-02728-3_45.
Kiser, A., Cantürk, A., & Volosyak, I. (2025). Towards Secure Transaction Authentication Using a cVEP-Based BCI. In I. Rojas, G. Joya, & A. Catala (editors), Advances in Computational Intelligence. 18th International Work-Conference on Artificial Neural Networks, IWANN 2025, A Coruña, Spain, June 16–18, 2025, Proceedings, Part II (pp. 533–547). SPRINGER INTERNATIONAL PUBLISHING AG. https://doi.org/10.1007/978-3-032-02728-3_43.
Le, T. P. N., Fodor, M. A., Cantürk, A., & Volosyak, I. (2025). Feasibility of Secure Transaction Authentication Using a cVEP-Based BCI. In IEEE (editor), 2025 13th International Conference on Brain-Computer Interface (BCI). IEEE. https://doi.org/10.1109/bci65088.2025.10931547.
Scheppink, H. A., Del Carmen Cortés Navarro, M., & Volosyak, I. (2025). Steady-State Motion Visual Evoked Potentials with 3D Stimuli in a VR-Based BCI. In IEEE (editor), 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 7378–7383). IEEE. https://doi.org/10.1109/smc58881.2025.11343706.
Scheppink, H. A., Cantürk, A., & Volosyak, I. (2025). BCI with Intuitive Object Control Based on Code-Modulated Visual Evoked Potentials. In I. Rojas, G. Joya, & A. Catala (editors), Advances in Computational Intelligence. 18th International Work-Conference on Artificial Neural Networks, IWANN 2025, A Coruña, Spain, June 16–18, 2025, Proceedings, Part II (pp. 572–583). SPRINGER INTERNATIONAL PUBLISHING AG. https://doi.org/10.1007/978-3-032-02728-3_46.
Cantürk, A., Spieker, K., & Volosyak, I. (2024). A Browser-Driven cVEP-based BCI Web Speller. In IEEE (editor), 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 1411–1416). IEEE. https://doi.org/10.1109/smc54092.2024.10831417.
Fodor, M. A., Herschel, H., Cantürk, A., Heisenberg, G., & Volosyak, I. (2024). Evaluation of Different Visual Feedback Methods for Brain-Computer Interfaces (BCI) Based on Code-Modulated Visual Evoked Potentials (cVEP). Brain Sciences, 14(8), 1–16. https://doi.org/10.3390/brainsci14080846.
Falk, T. H., Guger, C., & Volosyak, I. (2023). Brain-Computer Interfaces: Recent Advances, Challenges, and Future Directions. In G. Fortino, D. Kaber, A. Nürnberger, & D. Mendonça (editors), Handbook of Human-Machine Systems (pp. 11–22). John Wiley & Sons, Inc. https://doi.org/10.1002/9781119863663.ch2.
Henke, L., Rulffs, P., Adepoju, F., Stawicki, P., Cantürk, A., & Volosyak, I. (2023). Investigating the Influence of Background Music on the Performance of a cVEP-based BCI. In IEEE (editor), 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 1104–1109). IEEE. https://doi.org/10.1109/smc53992.2023.10394503.
Volosyak, I., Adepoju, F., Stawicki, P., Rulffs, P., Cantürk, A., & Henke, L. (2023). Gender Influence on cVEP-based BCI Performance. In I. Rojas, G. Joya, & A. Catala (editors), Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part II (1 ed., pp. 591–602). SPRINGER INTERNATIONAL PUBLISHING AG. https://doi.org/10.1007/978-3-031-43078-7_48.
Minguillon, J., Volosyak, I., Guger, C., Tangermann, M., & Lopez, M. A. (2022). Editorial: Brain-Computer Interfaces: Novel Applications and Interactive Technologies. Frontiers in Computational Neuroscience, 16, 939202. https://doi.org/10.3389/fncom.2022.939202.
Stawicki, P., & Volosyak, I. (2022). cVEP Training Data Validation-Towards Optimal Training Set Composition from Multi-Day Data. Brain Sciences, 12(2), 234. https://doi.org/10.3390/brainsci12020234.
Stawicki, P., Rezeika, A., & Volosyak, I. (2021). Effects of Training on BCI Accuracy in SSMVEP-based BCI. In I. Rojas, G. Joya, & A. Catala (editors), Advances in Computational Intelligence. 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16–18, 2021, Proceedings, Part II (1 ed., pp. 69–80). SPRINGER INTERNATIONAL PUBLISHING AG. https://doi.org/10.1007/978-3-030-85099-9_6.
Benda, M., Rezeika, A., Volosyak, I., Gembler, F. W., & Stawicki, P. R. (2020). Asynchronous c-VEP communication tools-efficiency comparison of low-target, multi-target and dictionary-assisted BCI spellers. Scientific Reports, 10(1), 17064. https://doi.org/10.1038/s41598-020-74143-4.
Benda, M., & Volosyak, I. (2020). Comparison of Different Visual Feedback Methods for SSVEP-Based BCIs. Brain Sciences, 10(4), 240. https://doi.org/10.3390/brainsci10040240.
Brennan, C., McCullagh, P., Lightbody, G., Galway, L., McClean, S., Stawicki, P., Gembler, F., Volosyak, I., Armstrong, E., & Thompson, E. (2020). Performance of a Steady-State Visual Evoked Potential and Eye Gaze Hybrid Brain-Computer Interface on Participants With and Without a Brain Injury. IEEE Transactions on Human-Machine Systems, 50(4), 277–286. https://doi.org/10.1109/thms.2020.2983661.
Gembler, F., Stawicki, P., Rezeika, A., Benda, M., & Volosyak, I. (2020). Exploring Session-to-Session Transfer for Brain-Computer Interfaces based on Code-Modulated Visual Evoked Potentials. In IEEE (editor), 2020 IEEE International Conference on Systems, Man and Cybernetics (SMC) (pp. 1505–1510). IEEE. https://doi.org/10.1109/smc42975.2020.9282826.
Rezeika, A., Benda, M., Volosyak, I., & Gembler, F. W. (2020). Five Shades of Grey: Exploring Quintary m-Sequences for More User-Friendly c-VEP-Based BCIs. Computational Intelligence and Neuroscience, 2020, 7985010. https://doi.org/10.1155/2020/7985010.
Stawicki, P., & Volosyak, I. (2020). Comparison of Modern Highly Interactive Flicker-Free Steady State Motion Visual Evoked Potentials for Practical Brain-Computer Interfaces. Brain Sciences, 10(10), 686. https://doi.org/10.3390/brainsci10100686.
Volosyak, I., Rezeika, A., Benda, M., Gembler, F., & Stawicki, P. (2020). Towards solving of the Illiteracy phenomenon for VEP-based brain-computer interfaces. Biomedical Physics & Engineering Express, 6(3), 35034. https://doi.org/10.1088/2057-1976/ab87e6.
Adams, M., Ben-Salem, S., Islam, Z., Vogelsang, A., Jungeblut, T., Ruckert, U., Volosyak, I., Benda, M., Saboor, A., Krause, A. F., Rezeika, A., Gembler, F., Stawicki, P., Hesse, M., & Essig, K. (2019). Towards an SSVEP-BCI Controlled Smart Home. In IEEE (editor), 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) (pp. 2737–2742). IEEE. https://doi.org/10.1109/smc.2019.8914668.
Benda, M., Gembler, F., Stawicki, P., Ben-Salem, S., Islam, Z., Vogelsang, A., & Volosyak, I. (2019). Custom-Made Monitor for Easy High-Frequency SSVEP Stimulation. In I. Rojas, G. Joya, & A. Catala (editors), Advances in Computational Intelligence. 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part I (pp. 382–393). SPRINGER INTERNATIONAL PUBLISHING AG. https://doi.org/10.1007/978-3-030-20521-8_32.
Benda, M., & Volosyak, I. (2019). Peak Detection with Online Electroencephalography (EEG) Artifact Removal for Brain-Computer Interface (BCI) Purposes. Brain Sciences, 9(12), 347. https://doi.org/10.3390/brainsci9120347.
Gembler, F., Benda, M., Saboor, A., & Volosyak, I. (2019). A multi-target c-VEP-based BCI speller utilizing n-gram word prediction and filter bank classification. In IEEE (editor), 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) (pp. 2719–2724). IEEE. https://doi.org/10.1109/smc.2019.8914235.
Gembler, F., Stawicki, P., Rezeika, A., & Volosyak, I. (2019). A Comparison of cVEP-Based BCI-Performance Between Different Age Groups. In I. Rojas, G. Joya, & A. Catala (editors), Advances in Computational Intelligence. 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part I (pp. 394–405). SPRINGER INTERNATIONAL PUBLISHING AG. https://doi.org/10.1007/978-3-030-20521-8_33.
Gembler, F., & Volosyak, I. (2019). A Novel Dictionary-Driven Mental Spelling Application Based on Code-Modulated Visual Evoked Potentials. Computers, 8(2), 33. https://doi.org/10.3390/computers8020033.
Grichnik, R., Benda, M., & Volosyak, I. (2019). A VR-Based Hybrid BCI Using SSVEP and Gesture Input. In I. Rojas, G. Joya, & A. Catala (editors), Advances in Computational Intelligence. 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part I (pp. 418–429). SPRINGER INTERNATIONAL PUBLISHING AG. https://doi.org/10.1007/978-3-030-20521-8_35.
Gembler, F., Stawicki, P., Saboor, A., & Volosyak, I. (2019). Dynamic time window mechanism for time synchronous VEP-based BCIs-Performance evaluation with a dictionary-supported BCI speller employing SSVEP and c-VEP. PLOS One, 14(6), e0218177. https://doi.org/10.1371/journal.pone.0218177.
Marx, E., Benda, M., & Volosyak, I. (2019). Optimal Electrode Positions for an SSVEP-based BCI. In IEEE (editor), 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) (pp. 2731–2736). IEEE. https://doi.org/10.1109/smc.2019.8914280.
Psotta, L., Rezeika, A., & Volosyak, I. (2019). Investigating the Influence of Background Music on the Performance of an SSVEP-based BCI. In IEEE (editor), 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) (pp. 4187–4193). IEEE. https://doi.org/10.1109/smc.2019.8913855.
Rezeika, A., Gembler, F., Benda, M., & Volosyak, I. (2019). An Offline Study for a Single-Trial ERP Card-Guessing Game. In IEEE (editor), 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) (pp. 228–234). IEEE. https://doi.org/10.1109/smc.2019.8914087.
Stawicki, P., Rezeika, A., Saboor, A., & Volosyak, I. (2019). Investigating Flicker-Free Steady-State Motion Stimuli for VEP-Based BCIs. In IEEE (editor), 2019 E-Health and Bioengineering Conference (EHB). IEEE. https://doi.org/10.1109/ehb47216.2019.8969970.
Stawicki, P., Gembler, F., Grichnik, R., & Volosyak, I. (2019). Remote Steering of a Mobile Robotic Car by Means of VR-Based SSVEP BCI. In I. Rojas, G. Joya, & A. Catala (editors), Advances in Computational Intelligence. 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part I (pp. 406–417). SPRINGER INTERNATIONAL PUBLISHING AG. https://doi.org/10.1007/978-3-030-20521-8_34.
Saboor, A., Benda, M., Gembler, F., & Volosyak, I. (2019). Word Prediction Support Model for SSVEP-Based BCI Web Speller. In I. Rojas, G. Joya, & A. Catala (editors), Advances in Computational Intelligence. 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part I (pp. 430–441). SPRINGER INTERNATIONAL PUBLISHING AG. https://doi.org/10.1007/978-3-030-20521-8_36.
Volosyak, I., & Schmidt, M. (2019). Asynchronous Control of a Spherical Robot by Means of SSVEP-based Brain-Computer Interface. In IEEE (editor), 2019 E-Health and Bioengineering Conference (EHB). IEEE. https://doi.org/10.1109/ehb47216.2019.8969955.
Benda, M., Stawicki, P., Gembler, F., Grichnik, R., Rezeika, A., Saboor, A., & Volosyak, I. (2018). Different Feedback Methods For An SSVEP-Based BCI. In IEEE (editor), 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 1939–1943). IEEE. https://doi.org/10.1109/embc.2018.8512622.
Benda, M., Stawicki, P., Gembler, F., Rezeika, A., Saboor, A., & Volosyak, I. (2018). SSVEP-Based BCI Performance and Objective Fatigue Under Different Background Conditions. In IEEE (editor), 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 1116–1121). IEEE. https://doi.org/10.1109/smc.2018.00197.
Gembler, F., Stawicki, P., Saboor, A., Benda, M., Grichnik, R., Rezeika, A., & Volosyak, I. (2018). A Dictionary Driven Mental Typewriter Based on Code-Modulated Visual Evoked Potentials (cVEP). In IEEE (editor), 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 619–624). IEEE. https://doi.org/10.1109/smc.2018.00114.
Rezeika, A., Benda, M., Stawicki, P., Gembler, F., Saboor, A., & Volosyak, I. (2018). 30-Targets Hybrid BNCI Speller Based on SSVEP and EMG. In IEEE (editor), 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 153–158). IEEE. https://doi.org/10.1109/smc.2018.00037.
Rezeika, A., Benda, M., Stawicki, P., Gembler, F., Saboor, A., & Volosyak, I. (2018). Brain-Computer Interface Spellers: A Review. Brain Sciences, 8(4), 57. https://doi.org/10.3390/brainsci8040057.
Rezeika, A., Benda, M., Stawicki, P., Gembler, F., Saboor, A., & Volosyak, I. (2018). Surface Electromyographic Control of a Three-Steps Speller Interface. In IEEE (editor), 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 147–152). IEEE. https://doi.org/10.1109/smc.2018.00036.
Saboor, A., Gembler, F., Benda, M., Stawicki, P., Rezeika, A., Grichnik, R., & Volosyak, I. (2018). A Browser-Driven SSVEP-Based BCI Web Speller. In IEEE (editor), 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 625–630). IEEE. https://doi.org/10.1109/smc.2018.00115.
Stawicki, P., Gembler, F., & Volosyak, I. (2018). Design and Customization of SSVEP-Based BCI Applications Aimed for Elderly People. In C. S. Nam, A. Nijholt, & F. Lotte (editors), Brain-Computer Interfaces Handbook. Technological and Theoretical Advances (1 ed., pp. 133–144). CRC Press. https://doi.org/10.1201/9781351231954-7.
Stawicki, P., Gembler, F., Chan, C. Y., Benda, M., Rezeika, A., Saboor, A., Grichnik, R., & Volosyak, I. (2018). Investigating Spatial Awareness within an SSVEP-based BCI in Virtual Reality. In IEEE (editor), 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 615–618). IEEE. https://doi.org/10.1109/smc.2018.00113.
Saboor, A., Benda, M., Rezeika, A., Grichnik, R., Gembler, F., Stawicki, P., & Volosyak, I. (2018). Mesh of SSVEP-Based BCI and Eye-Tracker for Use of Higher Frequency Stimuli and Lower Number of EEG Channels. In IEEE (editor), 2018 International Conference on Frontiers of Information Technology (FIT) (pp. 99–104). IEEE. https://doi.org/10.1109/fit.2018.00025.
Stawicki, P., Gembler, F., Chan, C. Y., Benda, M., Rezeika, A., Saboor, A., Grichnik, R., & Volosyak, I. (2018). SSVEP-Based BCI in Virtual Reality - Control of a Vacuum Cleaner Robot. In IEEE (editor), 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 534–537). IEEE. https://doi.org/10.1109/smc.2018.00749.
Gembler, F., Stawicki, P., Rezeika, A., Saboor, A., Benda, M., & Volosyak, I. (2017). Effects of monitor refresh rates on c-VEP BCIs. In J. Ham, A. Spagnolli, B. Blankertz, L. Gamberini, & G. Jacucci (editors), Symbiotic Interaction. 6th International Workshop, Symbiotic 2017, Eindhoven, The Netherlands, December 18–19, 2017, Revised Selected Papers (1 ed., pp. 53–62). SPRINGER INTERNATIONAL PUBLISHING AG. https://doi.org/10.1007/978-3-319-91593-7_6.
Gembler, F., Stawicki, P., & Volosyak, I. (2017). Suitable Number of Visual Stimuli for SSVEP-Based BCI Spelling Applications. In I. Rojas, G. Joya, & A. Catala (editors), Advances in Computational Intelligence. 14th International Work-Conference on Artificial Neural Networks, IWANN 2017, Cadiz, Spain, June 14-16, 2017, Proceedings, Part II (1 ed., pp. 441–452). SPRINGER INTERNATIONAL PUBLISHING AG. https://doi.org/10.1007/978-3-319-59147-6_38.
Stawicki, P., Gembler, F., Rezeika, A., & Volosyak, I. (2017). A Novel Hybrid Mental Spelling Application Based on Eye Tracking and SSVEP-Based BCI. Brain Sciences, 7(4), 35. https://doi.org/10.3390/brainsci7040035.
Stawicki, P., Gembler, F., & Volosyak, I. (2017). A User-Friendly Dictionary-Supported SSVEP-based BCI Application. In L. Gamberini, A. Spagnolli, G. Jacucci, B. Blankertz, & J. Freeman (editors), Symbiotic Interaction. 5th International Workshop, Symbiotic 2016, Padua, Italy, September 29–30, 2016, Revised Selected Papers (, pp. 168–180). SPRINGER INTERNATIONAL PUBLISHING AG. https://doi.org/10.1007/978-3-319-57753-1_15.
Saboor, A., Rezeika, A., Stawicki, P., Gembler, F., Benda, M., Grunenberg, T., & Volosyak, I. (2017). SSVEP-Based BCI in a Smart Home Scenario. In I. Rojas, G. Joya, & A. Catala (editors), Advances in Computational Intelligence. 14th International Work-Conference on Artificial Neural Networks, IWANN 2017, Cadiz, Spain, June 14-16, 2017, Proceedings, Part II (1 ed., pp. 474–485). SPRINGER INTERNATIONAL PUBLISHING AG. https://doi.org/10.1007/978-3-319-59147-6_41.
Volosyak, I., Gembler, F., & Stawicki, P. (2017). Age-related differences in SSVEP-based BCI performance. Neurocomputing, 250, 57–64. 13th International Work-Conference on Artificial Neural Networks (IWANN). https://doi.org/10.1016/j.neucom.2016.08.121.
Gembler, F., Stawicki, P., & Volosyak, I. (2016). Exploring the possibilities and limitations of multitarget SSVEP-based BCI applications. In IEEE (editor), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 1488–1491). IEEE. https://doi.org/10.1109/embc.2016.7590991.
Stawicki, P., Gembler, F., & Volosyak, I. (2016). Driving a Semiautonomous Mobile Robotic Car Controlled by an SSVEP-Based BCI. Computational Intelligence and Neuroscience, 2016, 4909685. https://doi.org/10.1155/2016/4909685.
Gembler, F., Stawicki, P., & Volosyak, I. (2015). A Comparison of SSVEP-Based BCI-Performance Between Different Age Groups. In I. Rojas, G. Joya, & A. Catala (editors), Advances in Computational Intelligence. 13th International Work-Conference on Artificial Neural Networks, IWANN 2015, Palma de Mallorca, Spain, June 10-12, 2015. Proceedings, Part I (pp. 71–77). SPRINGER INTERNATIONAL PUBLISHING AG. https://doi.org/10.1007/978-3-319-19258-1_6.
Gembler, F., Stawicki, P., & Volosyak, I. (2015). Autonomous Parameter Adjustment for SSVEP-Based BCIs with a Novel BCI Wizard. Frontiers in Neuroscience, 9, 474. https://doi.org/10.3389/fnins.2015.00474.
Stawicki, P., Gembler, F., & Volosyak, I. (2015). Evaluation of Suitable Frequency Differences in SSVEP-Based BCIs. In B. Blankertz, G. Jacucci, L. Gamberini, A. Spagnolli, & J. Freeman (editors), Symbiotic Interaction. 4th International Workshop, Symbiotic 2015, Berlin, Germany, October 7-8, 2015, Proceedings (1 ed., pp. 159–165). SPRINGER INTERNATIONAL PUBLISHING AG. https://doi.org/10.1007/978-3-319-24917-9_17.
Gollee, H., Volosyak, I., McLachlan, A. J., Hunt, K. J., & Gräser, A. (2010). An SSVEP-Based Brain--Computer Interface for the Control of Functional Electrical Stimulation. IEEE Transactions on Biomedical Engineering, 57(8), 1847–1855. https://doi.org/10.1109/tbme.2010.2043432.
Friman, O., Volosyak, I., & Gräser, A. (2007). Multiple Channel Detection of Steady-State Visual Evoked Potentials for Brain-Computer Interfaces. IEEE Transactions on Biomedical Engineering, 54(4), 742–750. https://doi.org/10.1109/tbme.2006.889160.
Volosyak, I., Kouzmitcheva, O., Ristić, D., & Gräser, A. (2005). Improvement of Visual Perceptual Capabilities by Feedback Structures for Robotic System FRIEND. IEEE Transactions on Systems, Man & Cybernetics: Part C - Applications & Reviews, 35(1), 66–74. https://doi.org/10.1109/tsmcc.2004.840036.

01/01/2024 - 31/12/2027 | EU-Projekt DONUT European Doctoral Network for Neural Prostheses and Brain Research | Funder: Europäische Union - EU | Go to project
01/05/2022 - 30/04/2023 | DONUT - FH - Europa: Europäisches Doktorandennetzwerk für Gehirnforschung | Funder: Bundesministerium für Bildung und Forschung - BMBF | Go to project
15/05/2017 - 30/04/2020 | M3S - Moderne Mensch-Maschine-Schnittstelle | Funder: Landesregierung NRW | Go to project
01/03/2016 - 28/02/2019 | BCI@Home - Brain-Computer Interfaces im Smarthome der Zukunft | Funder: Landesregierung NRW, Ministerium für Wirtschaft, Mittelstand und Energie | Go to project
01/07/2014 - 30/06/2016 | EEG-basierte Brain-Computer Interfaces zur Anwendung im Gesundheitswesen | Funder: Bundesministerium für Bildung und Forschung - BMBF | Go to project
01/01/2014 - 31/12/2015 | Alltagstaugliche-Brain-Computer-Interfaces BMBF | Funder: Bundesministerium für Bildung und Forschung - BMBF | Go to project

Forschendes Lernen an der Hochschule Rhein-Waal (2017)

Prof. Dr.-Ing. Ivan Volosyak

Contact

Contact in Faculty of Technology and Bionics

Profile

Publications

Projects

Awards