- Publications: Multiple research papers published from 2013 to 2024.
- Awards: Young Investigator Award (YIA), Runner-up for Best Paper Award (BPA).
- Book: 'A Parametric Framework for Modelling of Bioelectrical Signals', published by Springer.
- Patents: Not provided.
- Projects: Involved in creating linkages between industry and academia, received Erasmus+ International Credit Mobility grant.
Research Experience
- Position: Principal Lecturer (Computer Science).
- Work Experience: Served as Program Head, Course Leader, Student Affairs, etc.
- Research Projects: Focused on BCI applications in the health domain, especially using AI and Machine Learning.
- Supervision: Successfully supervised several Ph.D. students to completion, currently co-supervising a few Ph.D. students.
Education
- Ph.D. in Information and Communication Technology (ICT), university not specified.
- Master's Degrees: M.Sc. in Computer Engineering, M.S. in Information Technology.
- Bachelor's Degree: B.S. in Computer Science.
- Advisor Information: Not provided.
Background
- Research Interests: Development of Brain-Computer Interface (BCI) applications, especially in the health domain using Artificial Intelligence (AI), particularly Machine Learning.
- Professional Field: Computer Science, Information and Communication Technology (ICT), Biocomputation.
- Brief Introduction: As a Principal Lecturer, he has over 18 years of full-time work experience in teaching, research, administration, etc. He has published several research papers in well-known international journals and conferences and is the sole author of the book 'A Parametric Framework for Modelling of Bioelectrical Signals' published by Springer.
Miscellany
- Personal Interests: Not provided.
- Other: Fellow of the Higher Education Academy (FHEA), Senior Member of IEEE, founding member and advisor of IEEE TUT/UT student branches, former Vice-Chair of IEEE IM/ED/EMB Joint Chapter, and IEEE Student Activities Officer at IEEE Estonian Section.