Dr Pedro Machado

Senior Lecturer

Computer Science

Staff Group(s)

Computer Science

• Email:[email protected]
• Phone: +44 (0) 115 84 86681
• Publications: Go to Dr Pedro Machado's publications

Role

Pedro Machado received his MSc in Electrical and Computers Engineering from the University of Coimbra (2012) and his Ph.D. in Computer Science from Nottingham Trent University (2022).

Dr Machado is a Senior Lecturer in Computer Science, Course Leader for MSc Artificial Intelligence and first secretary for the IEEE Systemic Innovation Special Interest Group (SISIG).

Dr Machado is a Senior Lecturer in Computer Science and Course Leader for MSc Artificial Intelligence.

He is developing AI monitoring technologies to unlock the secrets of how underwater animals interact with their environment. The research is not just about watching fish swim; it is about using cutting-edge algorithms to understand their behaviour on a deeper level. Imagine being able to tell if a fish is feeling pain, predict disease outbreaks before they happen, or even gauge the overall health of a fish population. Dr Machado's research has the potential to revolutionise how we care for our oceans, freshwater and natural resources allowing the early-detection and preventing declines in fish and plant life before it's too late. It is a chance to ensure the well-being of aquatic animals and the sustainability of these vital ecosystems.

Research areas

Pedro is a member of the Computational Intelligent and Applications group.

Research interests:

Neuromorphic engineering, edge computer vision, bio-inspired computing, robotics and intelligent sensors, retinal cell understanding, biological nervous system modelling, spiking neural networks, robotics and autonomous systems, and neuromorphic hardware, aquaculture, endangered/invasive underwater species.

PhD supervision:

Mr Dennis Monari (Director of Studies) - 2023 ~ Now

Mr Feliciano Domingos (Director of Studies) - 2023 ~ Now

Mr Michael Gibbs (Supervisor) - 2022 ~ Now

Active Research Projects:

KTP with BigSpark (CoI) [January 2024 - December 2025]

SmartBerry(CoI) [September 2023 - August 2025]

AQUABRAIN (PI) [March 2024 - July 2024]

Past projects:

Internet of Water (IoW) (PI) [August 2022 - July 2023]

Underwater Plastic Detection(PI) [January 2022 ~ July 2022]

Teaching:

Pedro is the course leader of the MSc AI course and the Independent End Point Assessor for the L7 Degree Apprenticeship at the NTU.

Pedro is currently the Module Leader of:

• COMP20091: Systems Software.
• SOFT40051: Advanced Software Engineering.
• COMP40731: Artificial Cognitive Systems.

Pedro is currently teaching as Lab Tutor/Supervisor:

• COMP30271: Cognitive Computing.
• COMP40321: Research Methods | COMP40311: Major Project
• COMP30151: Full Year project

Pedro's teaching experience includes:

• SOFT37001: Advanced Analysis and Design (DTS) (2021-2023)
• SOFT27002: Software Engineering (DTS) (2021-2023)
• SOFT27001: Software Design and Implementation (DTS) (2021-2023)
• ISYS30221: Artificial Intelligence (2020 - 2021)
• SOFT20091: Software Design & Imp (2015 - 2021)
• COMP40321: Research Methods | COMP40311: Major Project (2015 - Now)
• COMP10082: Foundations of Comp & Tech (2018)
• COMP30151: Full Year project (2015 - Now)
• ITEC40091: Embedded Systems (2015 and 2016)
• SOFT20101: Info and Database Engineering (2015)

Publications

Journals:

FERREIRA, J.F., PORTUGAL, D., ANDRADA, M.E., MACHADO, P., ROCHA, R.P. and PEIXOTO, P., 2023. Sensing and artificial perception for robots in precision forestry: a survey.Robotics, 12 (5): 139. ISSN 2218-6581

MACHADO, P., FERREIRA, J.F., OIKONOMOU, A. and MCGINNITY, T.M., 2023. NeuroHSMD: neuromorphic hybrid spiking motion detector.ACM Transactions on Reconfigurable Technology and Systems, 16 (3): 36. ISSN 1936-7406

MURRAY-HILL, N., FONTES, L., MACHADO, P. and IHIANLE, I.K., 2023. Secure video streaming using dedicated hardware.Journal of Signal Processing Systems. ISSN 1939-8018

MAGALHÃES, S.C., SANTOS, F.N., MACHADO, P., MOREIRA, A.P. and DIAS, J., 2023. Benchmarking edge computing devices for grape bunches and trunks detection using accelerated object detection single shot multibox deep learning models.Engineering Applications of Artificial Intelligence, 117 (Part A): 105604. ISSN 0952-1976

MACHADO, P., OIKONOMOU, A., FERREIRA, J.F. and MCGINNITY, T.M., 2021. HSMD: an object motion detection algorithm using a Hybrid Spiking Neural Network Architecture.IEEE Access. ISSN 2169-3536

YU, Z., MACHADO, P., ZAHID, A., ABDULGHANI, A.M., DASHTIPOUR, K., HEIDARI, H., IMRAN, M.A. and ABBASI, Q.H., 2020. Energy and performance trade-off optimization in heterogeneous computing via reinforcement learning.Electronics, 9 (11): 1812. ISSN 2079-9292

COSTALAGO-MERUELO, A., MACHADO, P., APPIAH, K., MUJIKA, A., LESKOVSKY, P., ALVAREZ, R., EPELDE, G. and MCGINNITY, T.M., 2018. Emulation of chemical stimulus triggered head movement in the C. elegans nematode. Neurocomputing. ISSN 0925-2312

See the full list in the DBLP database.

See all of Dr Pedro Machado's publications...