Imperial College London

Dr Pierluigi Vito Amadori

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Teaching Fellow



p.amadori Website




1006Electrical EngineeringSouth Kensington Campus





I joined the Personal Robotics Lab as a Research Associate in September 2017 as a part of the MURI grant on “Closed-Loop Multisensory Brain-Computer Interfaces for Enhanced Decision Accuracy”.

My research interests focus on applying and developing explainable machine learning algorithms to decode human mental states to improve decision-making performance and to solve human-machine interaction challenges. I combine methodical experimental designs with principled deep learning architectures to achieve performance that can be analysed and explained.

I received my Ph.D. Degree in Electronic Engineering from University College London (UCL) in April 2017 with the Thesis topic: “Energy Efficient Large Scale Antenna Systems for 5G Communications and Beyond”. My research in UCL focused on Multiple-Input Multiple-Output (MIMO) wireless communications, with emphasis on large-scale antenna array systems and energy efficient communications.

Before being a Ph.D. candidate in the Electronic and Engineering Department at University College London, I received the M.Sc. degree with honours in Telecommunications Engineering from the University of Rome La Sapienza, Rome, Italy, in 2013. Between 2012 and 2013 I held a JPL Visiting Student Researchers Program position in the Jet Propulsion Laboratory Pasadena, CA (USA).

Selected Publications

Journal Articles

Amadori PV, Fischer T, Wang R, et al., 2021, Predicting secondary task performance: a directly actionable metric for cognitive overload detection, Ieee Transactions on Cognitive and Developmental Systems, ISSN:2379-8920

Amadori P, Fischer T, Demiris Y, 2021, HammerDrive: A task-aware driving visual attention model, IEEE Transactions on Intelligent Transportation Systems, ISSN:1524-9050, Pages:1-13

Amadori PV, Masouros C, 2017, Large scale antenna selection and precoding for interference exploitation, IEEE Transactions on Communications, Vol:65, ISSN:0090-6778, Pages:4529-4542

Liu F, Masouros C, Amadori PV, et al., 2017, An Efficient Manifold Algorithm for Constructive Interference Based Constant Envelope Precoding, IEEE Signal Processing Letters, Vol:24, ISSN:1070-9908, Pages:1542-1546

Amadori PV, Masouros C, 2017, Constant Envelope Precoding by Interference Exploitation in Phase Shift Keying-Modulated Multiuser Transmission, IEEE Transactions on Wireless Communications, Vol:16, ISSN:1536-1276, Pages:538-550

Amadori PV, Masouros C, 2016, Interference-Driven Antenna Selection for Massive Multiuser MIMO, IEEE Transactions on Vehicular Technology, Vol:65, ISSN:0018-9545, Pages:5944-5958

Amadori PV, Masouros C, 2015, Low RF-Complexity Millimeter-Wave Beamspace-MIMO Systems by Beam Selection, IEEE Transactions on Communications, Vol:63, ISSN:0090-6778, Pages:2212-2223


Amadori PV, Fischer T, Wang R, et al., 2020, Decision anticipation for driving assistance systems, 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), IEEE, Pages:1-7

Wang R, Ciliberto C, Amadori P, et al., 2019, Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation, Thirty-sixth International Conference on Machine Learning, Proceedings of International Conference on Machine Learning (ICML-2019)

Wang R, Amadori P, Demiris Y, 2019, Real-time workload classification during driving using hyperNetworks, International Conference on Intelligent Robots and Systems (IROS 2018), IEEE, ISSN:2153-0866

More Publications