Theodoros Kostoulas

Dr Theodoros Kostoulas

  • Senior Lecturer
  • Poole House P316, Talbot Campus, Fern Barrow, Poole, BH12 5BB
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Biography

Theodoros Kostoulas is Senior Lecturer in Computing at Bournemouth University, U.K.. Before that he was Postdoctoral Researcher and Lecturer at the Computer Vision and Multimedia Laboratory & Swiss Center for Affective Sciences at University of Geneva, Switzerland. He holds PhD degree from the department of Electrical and Computer Engineering, University of Patras, Greece.

Research

Theodoros' research interests include Data Mining, Affective Computing, Multimodal Interaction, Machine Learning, Multimodal Signal Processing.

Theodoros has been active in the realization of research projects, managing research and development tasks (within more than 10 national and international research and research and innovation projects). A significant amount of those projects were/are multidisciplinary, bringing together expertise from art experts, psychology experts, as well as end-users.

Journal Articles

  • Muszynski, M., Tian, L., Lai, C., Moore, J., Kostoulas, T., Lombardo, P., Pun, T. and Chanel, G., 2019. Recognizing Induced Emotions of Movie Audiences From Multimodal Information. IEEE Transactions on Affective Computing.
  • Drosatos, G., Arden-Close, E., Bolat, E., Kostoulas, T., Budka, M., McAlaney, J., Phalp, K., Ali, R., Vuillier, L. et al., 2018. Enabling Responsible Online Gambling by Real-time Persuasive Technologies. Complex Systems Informatics and Modeling Quarterly.
  • Muszynski, M., Kostoulas, T., Lombardo, P., Pun, T. and Chanel, G., 2018. Aesthetic highlight detection in movies based on synchronization of spectators' reactions. ACM Transactions on Multimedia Computing, Communications and Applications, 14 (3).
  • Kostoulas, T., Chanel, G., Muszynski, M., Lombardo, P. and Pun, T., 2017. Films, affective computing and aesthetic experience: Identifying emotional and aesthetic highlights from multimodal signals in a social setting. Frontiers in ICT, 4 (JUN).
  • Tárrega, S., Kostoulas, T. et al., 2014. Explicit and implicit emotional expression in bulimia nervosa in the acute state and after recovery. PLoS ONE, 9 (7).
  • Kostoulas, T., Winkler, T., Ganchev, T., Fakotakis, N. and Köhler, J., 2013. The MoveOn database: motorcycle environment speech and noise database for command and control applications. Lang. Resour. Evaluation, 47, 539-563.
  • Fernández-Aranda, F., Kostoulas, T.P. et al., 2012. Video games as a complementary therapy tool in mental disorders: PlayMancer, a European multicentre study. J Ment Health, 21 (4), 364-374.
  • Kostoulas, T., Mporas, I., Kocsis, O., Ganchev, T., Katsaounos, N., Santamaría, J.J., Jiménez-Murcia, S., Fernández-Aranda, F. and Fakotakis, N., 2012. Affective speech interface in serious games for supporting therapy of mental disorders. Expert Syst. Appl., 39, 11072-11079.
  • Lazaridis, A., Ganchev, T., Kostoulas, T., Mporas, I. and Fakotakis, N., 2010. Phone duration modeling: overview of techniques and performance optimization via feature selection in the context of emotional speech. Int. J. Speech Technol., 13, 175-188.

Chapters

  • Aldhayan, M., Cham, S., Kostoulas, T., Almourad, M.B. and Ali, R., 2019. Online peer support groups to combat digital addiction: User acceptance and rejection factors. 139-150.
  • Altuwairiqi, M., Kostoulas, T., Powell, G. and Ali, R., 2019. Problematic attachment to social media: Lived experience and emotions. 795-805.
  • Mavridou, I., Seiss, E., Kostoulas, T., Nduka, C. and Balaguer-Ballester, E., 2018. Towards an effecve arousal detecon system for virtual reality.
  • Kostoulas, T., Ganchev, T. and Fakotakis, N., 2010. Affect Recognition in Real Life Scenarios. In: Esposito, A., Esposito, A.M., Martone, R., Müller, V.C. and Scarpetta, G., eds. Toward Autonomous, Adaptive, and Context-Aware Multimodal Interfaces. Theoretical and Practical Issues - Third COST 2102 International Training School, Caserta, Italy, March 15-19, 2010, Revised Selected Papers. Springer, 429-435.
  • Kostoulas, T., Ganchev, T., Lazaridis, A. and Fakotakis, N., 2010. Enhancing Emotion Recognition from Speech through Feature Selection. In: Sojka, P., Horák, A., Kopecek, I. and Pala, K., eds. Text, Speech and Dialogue, 13th International Conference, TSD 2010, Brno, Czech Republic, September 6-10, 2010. Proceedings. Springer, 338-344.
  • Lazaridis, A., Ganchev, T., Mporas, I., Kostoulas, T. and Fakotakis, N., 2010. Feature Selection for Improved Phone Duration Modeling of Greek Emotional Speech. In: Konstantopoulos, S., Perantonis, S.J., Karkaletsis, V., Spyropoulos, C.D. and Vouros, G.A., eds. Artificial Intelligence: Theories, Models and Applications, 6th Hellenic Conference on AI, SETN 2010, Athens, Greece, May 4-7, 2010. Proceedings. Springer, 357-362.
  • Kostoulas, T., Mporas, I., Ganchev, T., Katsaounos, N., Lazaridis, A., Ntalampiras, S. and Fakotakis, N., 2008. LOGOS: A Multimodal Dialogue System for Controlling Smart Appliances. In: Tsihrintzis, G.A., Virvou, M., Howlett, R.J. and Jain, L.C., eds. New Directions in Intelligent Interactive Multimedia. Springer, 585-594.
  • Kostoulas, T., Mporas, I., Ganchev, T. and Fakotakis, N., 2008. The Effect of Emotional Speech on a Smart-Home Application. In: Nguyen, N.T., Borzemski, L., Grzech, A. and Ali, M., eds. New Frontiers in Applied Artificial Intelligence, 21st International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2008, Wroclaw, Poland, June 18-20, 2008, Proceedings. Springer, 305-310.
  • Kostoulas, T., Ganchev, T. and Fakotakis, N., 2007. Study on Speaker-Independent Emotion Recognition from Speech on Real-World Data. In: Esposito, A., Bourbakis, N.G., Avouris, N.M. and Hatzilygeroudis, I., eds. Verbal and Nonverbal Features of Human-Human and Human-Machine Interaction, COST Action 2102 International Conference, Patras, Greece, October 29-31, 2007. Revised Papers. Springer, 235-242.

Conferences

Posters

  • Mavridou, I., Seiss, E., Kostoulas, T., Balaguer-Ballester, E. and Nduka, C., 2018. A System Architecture for Emotion Detection in Virtual Reality.
  • Drosatos, G., Nalmpantis, F., Baines, V., Bolat, E., Vuillier, L., Kostoulas, T., Arden-Close, E., McAlaney, J., Phalp, K. and Ali, R., 2018. A conceptual architecture for empowering responsible online gambling with predictive, real-time, persuasive and interactive intervention. In: The 13th International Conference on Persuasive Technology (Persuasive’18).
  • Muszynski, M., Kostoulas, T., Lombardo, P., Pun, T. and Chanel, G., 2018. Film, Aesthetics and Emotions - interdisciplinary studies.
  • Muszynski, M., Kostoulas, T., Lombardo, P., Pun, T. and Chanel, G., 2017. Evaluation of Synchronization Measures for Aesthetic Highlight Detection in Movies.
  • Muszynski, M., Kostoulas, T., Chanel, G., Lombardo, P. and Pun, T., 2016. Spectators Synchronization Detection based on Manifold Representation of Physiological Signals: Application to movie highlights detection.
  • Kostoulas, T., Chanel, G., Muszynski, M., Lombardo, P. and Pun, T., 2015. Identifying aesthetic highlights in movies from physiological and behavioral synchronization.
  • Kostoulas, T., Chanel, G., Lombardo, P. and Pun, T., 2014. Film, Emotions, and Affective Computing: Detecting aesthetic highlights in movies based on physiological and behavioral signals of spectators.
  • Kostoulas, T., Chanel, G., Jarlier, S., Lombardo, P. and Pun, T., 2013. Detecting aesthetic highlight in movies based on physiological and behavioral coupling of spectators.
  • Kostoulas, T., Ganchev, T. and Fakotakis, N., 2008. Study on speech parameterization for emotion recognition.

Profile of Teaching PG

  • Data Mining and Analytic Technologies
  • Big Data and Cloud Computing

Profile of Teaching UG

  • Data Management

Qualifications

  • PGCE in Education Practice (Bournemouth University, UK, 2018)
  • PhD in Electical and Computer Engineering (University of Patras, Greece, 2012)
  • MEng in Electrical and Computer Engineering (University of Patras, Greece, 2005)

Memberships

  • Higher Education Academy (HEA), Fellow (2018-),
  • Association for Computing Machinery (ACM), Member,
  • Institute of Electrical and Electronics Engineers (IEEE), Member,
  • International Society for Research on Emotion (ISRE), Member,
  • Technical Chamber of Greece (TEE), Member,
  • The Chartered Institute for IT (BCS), Member,
The data on this page was last updated at 04:38 on December 5, 2020.