معرفی
Danilo P. Mandic is a Professor of Machine Intelligence at Imperial College London, Department of Electrical and Electronic Engineering. His research focuses on machine learning, signal processing, and biomedical engineering, with notable contributions to graph data analytics, tensor networks, and wearable sensors. Mandic has supervised numerous students, including those who have won prestigious awards such as the Ivor Tupper Prize and Sir Bruce White Prize.
Education: PhD in Nonlinear Adaptive Signal Processing (Imperial College London, 1999). Previously taught at the Universities of East Anglia and Banja Luka.
Research Interests: Machine Intelligence, Signal Processing (including EEG/ECG analysis), Wearable Health Technologies, Financial Signal Processing, and Tensor Networks. He has pioneered work on graph signal processing and in-ear biosensors.
Key Awards: 2019 Dennis Gabor Award (INNS), 2023 IEEE Engineering in Medicine Prize Paper Award, 2018 IEEE Signal Processing Magazine Best Paper Award.
Grants & Labs: Leads projects in neurotechnology, sensor signal processing, and smart grid analysis. Collaborates with industry and international institutions like RIKEN Brain Science Institute. Edited books on complex-valued adaptive filters and recurrent neural networks.
Teaching: Courses on signal processing and machine learning. Notable for integrating wearable sensors into curricula. Awarded Imperial College's Excellence in Research Supervision (2014).
