Dr Pierluigi Vito Amadori 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”. He received his 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”. His 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, he 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 he held a JPL Visiting Student Researchers Program position in the Jet Propulsion Laboratory Pasadena, CA (USA).
His research interests lie in the areas of user modelling and user assistance in high-speed simulated driving.
Publications
For up-to-date publications, please see my Google Scholar profile (list below last updated in September 2021).
Journals
Amadori, P.V., Fischer, T., Wang, R. and Demiris, Y., “Predicting Secondary Task Performance: A Directly Actionable Metric for Cognitive Overload Detection”. IEEE Transactions on Cognitive and Developmental Systems, pp. 1– 12, September 2021.P.V. Amadori, P.V., Fischer, T. and Demiris, Y., “HammerDrive: A Task-Aware Driving Visual Attention Model”. IEEE Transactions on Intelligent Transportation Systems, pp. 1– 13, February 2021
P. V. Amadori; C. Masouros, "Large Scale Antenna Selection and Precoding for Interference Exploitation", IEEE Transactions on Communications, vol.65, no.10, pp. 4529 – 4542, October 2017
P. V. Amadori; C. Masouros, "Constant Envelope Precoding by Interference Exploitation in Phase Shift Keying-Modulated Multiuser Transmission", IEEE Transactions on Wireless Communications, vol.16, no.1, pp. 538 - 550, January 2017
P.V. Amadori; C. Masouros, "Interference Driven Antenna Selection for Massive Multi-User MIMO," IEEE Transactions on Vehicular Technology , vol.65, no.8, pp. 5944 - 5958, August 2016
P. V. Amadori; C. Masouros, "Low RF-Complexity Millimeter-Wave Beamspace-MIMO Systems by Beam Selection," IEEE Transactions on Communications, vol. 63, no. 6, pp. 2212-2223, June 2015.
Conferences
P. V. Amadori, T. Fischer, R. Wang and Y. Demiris, "Decision Anticipation for Driving Assistance Systems," 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), Rhodes, Greece, 2020, pp. 1-7,
R. Wang, C.Ciliberto, P. V. Amadori and Y. Demiris, "Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation," 2019 Proceedings of the 36th International Conference on Machine Learning (ICML), Long Beach, Ca, USA, 2019.
R. Wang, P. V. Amadori and Y. Demiris, "Real-Time Workload Classification during Driving using HyperNetworks," 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, 2018, pp. 3060-3065.
P.V. Amadori; C. Masouros, "A Mixed-Integer Programming Approach to Interference Exploitation for Massive-MIMO," IEEE WCNCW 2018
P. V. Amadori; C. Masouros, "Constructive Interference Based Constant Envelope Precoding", in IEEE International workshop on Signal Processing advances in Wireless Communications (SPAWC), Edinburgh, 2016.
P.V. Amadori; C. Masouros, "Power efficient massive MU-MIMO via antenna selection for constructive interference optimization," 2015 IEEE International Conference on Communications (ICC), London, 2015, pp. 1607-1612.
P. V. Amadori; C. Masouros, "Low complexity transceivers in multiuser millimeter-wave beamspace-MIMO systems," in 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC), Washington DC, 2014, pp. 118-122
Thesis
Amadori, P. V. (2017). Energy Efficient Large Scale Antenna Systems for 5G Communications and Beyond Doctoral thesis , UCL (University College London).
