Professor Peter Tino

School of Computer Science
Professor of Complex and Adaptive Systems

Contact details

Telephone: +44 (0) 121 414 8558
Email: p.tino@cs.bham.ac.uk

Address: School of Computer Science
University 麻豆精选
Edgbaston
Birmingham
B15 2TT
UK

Peter Tiňo is a Professor of Complex and Adaptive Systems at the at the University 麻豆精选. He is the author of over 160 research articles in the areas of dynamical systems, machine learning, natural computation and fractal geometry. Peter has been awarded three outstanding Journal Paper of the Year awards and the Head of School's Excellence in Teaching Award.

Professor Tiňo is a co-supervisor of an Innovative Training Network (ITN) for early stage researchers (ESRs) funded by the EU’s Horizon 2020 research and innovation program under grant agreement No.766186. It is based on novel synergies between nature inspired optimisation and machine learning. The training programme will be targeted at the automotive industry and ESRs employed on the program will be provided with the transferable skills necessary for thriving careers in emerging and rapidly developing industrial areas.

Please follow the link below to find out more about Professor Tiňo's work:

Biography

After finishing his university studies in Slovakia, Peter managed to secure Fulbright scholarship to finalize his PhD work on dynamical systems at the NEC Research Institute in Princeton, USA. Returning back home, after a brief spell at the Slovak University of Technology, he worked as a research fellow in Vienna at the Austrian Research Institute for AI on predictive machine learning models for option pricing and in Birmingham at Aston University within the Neural Computation Research Group on probabilistic modelling. He joined the School of Computer Science, the University 麻豆精选 in 2003, where he has been ever since. Peter still likes to span a range of disciplines from machine learning and natural computation to complex systems. He loves the challenges brought up by truly cross-disciplinary work and enjoys collaborating with colleagues from around the world. Peter likes teaching. If you prefer the old-style teaching with pen and whiteboard, you are very welcome to his lectures! He believes that everything is teachable if the story behind the material is communicated in the right way.

Postgraduate supervision

Peter has supervised and co-supervised 16 PhD students to successful completion of their studies. He currently supervises and co-supervises 13 research students.

Research

Peter is interested in theory and interdisciplinary applications of machine learning, probabilistic modelling and dynamical systems.

Publications

Recent publications

Article

Kohls, G, Elster, EM, Tino, P, Fairchild, G, Stadler, C, Popma, A, Freitag, CM, De Brito, S, Konrad, K & Pauli, R 2025, '', BMC Psychiatry, vol. 25, no. 1, 105.

Taghribi, A, Canducci, M, Mastropietro, M, De rijcke, S, Peletier, RF, Tino, P & Bunte, K 2025, '', Astronomy and Computing, vol. 51, 100923.

Rodgers, N, Ti艌o, P & Johnson, S 2024, '', Journal of Physics: Complexity, vol. 5, no. 3, 035013.

Raj, MA, Awad, P, Peletier, RF, Smith, R, Kuchner, U, van de Weygaert, R, Libeskind, NI, Canducci, M, Tino, P & Bunte, K 2024, '', Astronomy and Astrophysics, vol. 690, A92.

Alzheimer鈥檚 Disease Neuroimaging Initiative, Lee, LY, Vaghari, D, Burkhart, MC, Tino, P, Montagnese, M, Li, Z, Z眉hlsdorff, K, Giorgio, J, Williams, G, Chong, E, Chen, C, Underwood, BR, Rittman, T & Kourtzi, Z 2024, '', EClinicalMedicine.

Li, B, Fong, RS & Tino, P 2024, '', Journal of Machine Learning Research, vol. 25, no. 158, pp. 1-28. <>

Awad, P, Li, TS, Erkal, D, Peletier, RF, Bunte, K, Koposov, SE, Li, A, Balbinot, E, Smith, R, Canducci, M, Tino, P, Senkevich, AM, Cullinane, LR, Costa, GSD, Ji, AP, Kuehn, K, Lewis, GF, Pace, AB, Zucker, DB, Bland-Hawthorn, J, Limberg, G, Martell, SL, McKenzie, M, Yang, Y & Usman, SA 2024, '', Astronomy and Astrophysics, vol. 693, A69.

Awad, P, Canducci, M, Balbinot, E, Woudenberg, HC, Viswanathan, A, Koop, O, Peletier, R, Tino, P, Starkenburg, E, Smith, R & Bunte, K 2024, '', Astronomy and Astrophysics, vol. 683, A14.

Burkhart, MC, Lee, LY, Vaghari, D, Toh, AQ, Chong, E, Chen, C, Ti艌o, P & Kourtzi, Z 2024, '', Scientific Reports, vol. 14, no. 1, 10755.

Comment/debate

Yan, M, Huang, C, Bienstman, P, Tino, P, Lin, W & Sun, J 2024, '', Nature Communications, vol. 15, no. 1, 9971.

Conference contribution

Fong, R, Li, B & Tino, P 2025, . in T Walsh, J Shah & Z Kolter (eds), AAAI-25 Technical Tracks 16: Thirty-Ninth AAAI Conference on Artificial Intelligence, Thirty-Seventh Conference on Innovative Applications of Artificial Intelligence, Fifteenth Symposium on Educational Advances in Artificial Intelligence. 1 edn, Proceedings of the AAAI Conference on Artificial Intelligence, no. 16, vol. 39, AAAI Press, Washington, DC, pp. 16622-16629, The 39th Annual AAAI Conference on Artificial Intelligence, Philadelphia, Pennsylvania, United States, 27/02/25. ,

Adeyemo, H, Bahsoon, R & Tino, P 2024, . in BDCAT '23: Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, Applications and Technologies., 8, Association for Computing Machinery (ACM), BDCAT '23, Taormina (Messina), Italy, 4/12/23.

Tino, P, Fong, RS & Leonarduzzi, RF 2024, . in 2024 International Joint Conference on Neural Networks (IJCNN). 1 edn, International Joint Conference on Neural Networks, IEEE, 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 30/06/24.

Preprint

Serra, G, Tino, P, Xu, Z & Yao, X 2024 '' arXiv.

Review article

Yan, M, Huang, C, Bienstman, P, Tino, P, Lin, W & Sun, J 2024, '', Nature Communications, vol. 15, no. 1, 2056.