Loughborough University Research Publications
Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Research Publications


Publications for Sam Amiri

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Journal Articles

Rangsikunpum, A, Amiri, S, Ost, L (2026) Low-Cost FPGA-Based Hybrid Defence Against Sticker Attacks for Traffic-Sign Classification, Journal of Signal Processing Systems, 98(1), ISSN: 1939-8018. DOI: 10.1007/s11265-026-01994-x.

Rangsikunpum, A, Amiri, S, Ost, L (2025) Ultra-Lightweight and Highly Efficient Pruned Binarised Neural Networks for Intrusion Detection in In-Vehicle Networks, Electronics, 14(9), pp.1710-1710, DOI: 10.3390/electronics14091710.

Liu, Q and Amiri, S (2025) Optimised Extension of an Ultra-Low-Power RISC-V Processor to Support Lightweight Neural Network Models, Chips, 4(2), pp.13-13, DOI: 10.3390/chips4020013.

Rangsikunpum, A, Amiri, S, Ost, L (2024) A reconfigurable coarse‐to‐fine approach for the execution of CNN inference models in low‐power edge devices, IET Computers & Digital Techniques, 2024(1), 6214436, ISSN: 1751-8601. DOI: 10.1049/cdt2/6214436.

Rangsikunpum, A, Amiri, S, Ost, L (2024) BIDS: An efficient intrusion detection system for in-vehicle networks using a two-stage binarised neural network on low-cost FPGA, Journal of Systems Architecture, 156, 103285, ISSN: 1383-7621. DOI: 10.1016/j.sysarc.2024.103285.

Nunez-Yanez, J, Amiri, S, Hosseinabady, M, Rodríguez, A, Asenjo, R, Navarro, A, Suarez, D, Gran, R (2019) Simultaneous multiprocessing in a software-defined heterogeneous FPGA, The Journal of Supercomputing, 75(8), pp.4078-4095, ISSN: 0920-8542. DOI: 10.1007/s11227-018-2367-9.

Nunez-Yanez, J, Amiri, S, Hosseinabady, M, Rodríguez, A, Asenjo, R, Navarro, A, Suarez, D, Gran, R (2019) Correction to: Simultaneous multiprocessing in a software-defined heterogeneous FPGA, The Journal of Supercomputing, 75(8), pp.4096-4097, ISSN: 0920-8542. DOI: 10.1007/s11227-018-2409-3.

Siddiqui, F, Amiri, S, Minhas, UI, Deng, T, Woods, R, Rafferty, K, Crookes, D (2019) FPGA-Based Processor Acceleration for Image Processing Applications, Journal of Imaging, 5(1), pp.16-16, DOI: 10.3390/jimaging5010016.

Amiri, M, Siddiqui, FM, Kelly, C, Woods, R, Rafferty, K, Bardak, B (2017) FPGA-Based Soft-Core Processors for Image Processing Applications, Journal of Signal Processing Systems, 87(1), pp.139-156, ISSN: 1939-8018. DOI: 10.1007/s11265-016-1185-7.

Amiri, M, Přenosil, V, Cvachovec, F, Matěj, Z, Mravec, F (2015) Quick algorithms for real-time discrimination of neutrons and gamma rays, Journal of Radioanalytical and Nuclear Chemistry, 303(1), pp.583-599, ISSN: 0236-5731. DOI: 10.1007/s10967-014-3406-5.

Matej, Z, Amiri, M, Cvachovec, F, Prenosil, V, Mravec, F, Kopecky, Z (2014) Digital two-parametric processing of the output data from radiation detectors, Progress in Nuclear Science and Technology, 4, pp.670-674, ISSN: 2185-4823. DOI: 10.15669/pnst.4.670.



Conferences

Khani, ABK, Amiri, S, Ost, L (2026) Quantifying Carbon Emissions of Machine Learning Inference Models Running on Edge IoT Devices. In 2026 13th International Conference on Electrical and Electronics Engineering (ICEEE), International Conference on Electrical and Electronics Engineering Iceee, Antalya, Turkiye, pp.406-411, DOI: 10.1109/ICEEE69936.2026.11598393.

Rangsikunpum, A, Amiri, S, Ost, L (2026) GAN-QNN: A Resource-Efficient FPGA-Based IDS for Unknown Attacks in CAN Networks. In GAN-QNN: A Resource-Efficient FPGA-Based IDS for Unknown Attacks in CAN Networks, Proceedings of 3rd International Conference on Machine Learning and Autonomous Systems Icmlas 2026, Bangkok, Thailand, pp.1481-1487, DOI: 10.1109/ICMLAS67792.2026.11483684.

Liu, Q, Amiri, S, Ost, L (2025) Low-Cost Intrusion Detection System for CAN Bus Networks Using RISC-V with Binarised Neural Networks. In 2025 IEEE International Conference on Industrial Technology (ICIT), pp.1-6, DOI: 10.1109/icit63637.2025.10965319.

Liu, Q, Amiri, S, Ost, L (2024) Exploring RISC-V Based DNN Accelerators. In 2024 IEEE International Conference on Omni-layer Intelligent Systems (COINS), pp.1-6, DOI: 10.1109/coins61597.2024.10622495.

Hanneman, A, Gava, J, Vancin, P, Kaim-Khani, AK, Amiri, S, Garibotti, R, Moraes, F, Calazans, N, Reis, R, Ost, L (2024) Soft Error Assessment of UAV Control Algorithms Running in Resource-Constrained Microprocessors. In 2024 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), pp.694-698, DOI: 10.1109/isvlsi61997.2024.00133.

Rangsikunpum, A, Amiri, S, Ost, L (2024) An FPGA-Based Intrusion Detection System Using Binarised Neural Network for CAN Bus Systems. In 2024 IEEE International Conference on Industrial Technology (ICIT), pp.1-6, DOI: 10.1109/icit58233.2024.10540960.

Amiri, S and Singh, S (2021) A Real-Time Collision Detection System for Vehicles. In 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET), pp.1-6, DOI: 10.1109/icecet52533.2021.9698622.

Abdi, S, Sharifzadeh, S, Amiri, S (2021) Reliability Model Development for Wind Turbine Drivetrain with Brushless Doubly-Fed Induction Machine as Generator. In 2021 22nd IEEE International Conference on Industrial Technology (ICIT), pp.228-233, DOI: 10.1109/icit46573.2021.9453637.

Amiri, S, Abdi, S, Sharifzadeh, S (2021) Simultaneous Multiprocessing on FPGA-CPU Heterogeneous Chips. In 2021 22nd IEEE International Conference on Industrial Technology (ICIT). DOI: 10.1109/icit46573.2021.9453638.

Sharifzadeh, S, Amiri, S, Abdi, S (2021) A New Method for Semi-Supervised Segmentation of Satellite Images. In 2021 22nd IEEE International Conference on Industrial Technology (ICIT), pp.832-837, DOI: 10.1109/icit46573.2021.9453700.

Abdi, S, Tatlow, M, Abdi, E, McMahon, R, Amiri, S (2020) A New Fault Diagnosis Approach for Brushless Doubly Fed Machines for Wind Turbine Generator Applications. In 2020 International Conference on Electrical Machines (ICEM), pp.1266-1272, DOI: 10.1109/icem49940.2020.9270694.

Amiri, S, Hosseinabady, M, Rodriguez, A, Asenjo, R, Navarro, A, Nunez-Yanez, J (2018) Workload Partitioning Strategy for Improved Parallelism on FPGA-CPU Heterogeneous Chips. In 2018 28th International Conference on Field Programmable Logic and Applications (FPL), pp.376-3764, DOI: 10.1109/fpl.2018.00071.

Amiri, S, Hosseinabady, M, McIntosh-Smith, S, Nunez-Yanez, J (2018) Multi-precision convolutional neural networks on heterogeneous hardware. In 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), pp.419-424, DOI: 10.23919/date.2018.8342046.

Amiri, M and Prenosil, V (2015) Application of digital signal processing in discrimination of neutrons and gamma rays. In 2015 38th International Conference on Telecommunications and Signal Processing (TSP), pp.1-6, DOI: 10.1109/tsp.2015.7296441.

Amiri, M and Prenosil, V (2015) Significant reliability improvement of NMR systems. In 2015 International Conference on Military Technologies (ICMT), International Conference on Military Technologies (ICMT) 2015, pp.1-4, DOI: 10.1109/miltechs.2015.7153717.

Amiri, M, Prenosil, V, Cvachovec, F (2015) Optimum filter-based discrimination of neutrons and gamma rays. In 2015 4th International Conference on Advancements in Nuclear Instrumentation Measurement Methods and their Applications (ANIMMA), pp.1-7, DOI: 10.1109/animma.2015.7465552.

Amiri, M, Prenosil, V, Cvachovec, F (2015) Neutron/gamma-ray discrimination through measures of fit. In 2015 4th International Conference on Advancements in Nuclear Instrumentation Measurement Methods and their Applications (ANIMMA), pp.1-5, DOI: 10.1109/animma.2015.7465553.

Amiri, M and Prenosil, V (2014) General solutions for MTTF and steady-state availability of NMR systems. In 2014 9th International Symposium on Reconfigurable and Communication-Centric Systems-on-Chip (ReCoSoC), pp.1-4, DOI: 10.1109/recosoc.2014.6861344.

Amiri, M, Cvachovec, F, Matej, Z, Mravec, F, Prenosil, V (2013) Digital data processing of stilbene. In 2013 3rd International Conference on Advancements in Nuclear Instrumentation, Measurement Methods and their Applications (ANIMMA), pp.1-7, DOI: 10.1109/animma.2013.6728010.



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