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Spain

Biography

Dr. Manuel Lopez-Martin received a Ph.D. degree in the field of machine learning from the Universidad de Valladolid, Spain, in 2019. He is a research associate at Universidad de Valladolid. His research activities involve applying machine learning to intrusion detection in data networks and time-series forecasting. He received his M.Sc. in Telecommunications Engineering in 1985 from UPM-Madrid and his M.Sc. in Computer Sciences in 2013 from UAM-Madrid. He has worked as a data scientist at Telefonica and has more than 25 years of experience in the development of IT software

Activities

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Employment (1)

Universidad de Valladolid: Valladolid, Castilla y León, ES

2016 to present | Researcher (TSyCeIT, ETSIT)
Employment
Source: Self-asserted source
Manuel Lopez-Martin

Education and qualifications (3)

University of Valladolid: Valladolid, Castilla y León, ES

2014 to 2019 | Ph.D. - Machine Learning applied to Telco Networks
Education
Source: Self-asserted source
Manuel Lopez-Martin

Universidad Autónoma de Madrid: Madrid, Madrid, ES

2010 to 2013 | Master of Science - MS, Computer Science-Machine Learning
Education
Source: Self-asserted source
Manuel Lopez-Martin

Universidad Politécnica de Madrid: Madrid, Comunidad de Madrid, ES

1979 to 1985 | Master of Science - MS, Telecommunications Engineering-Control Systems
Education
Source: Self-asserted source
Manuel Lopez-Martin

Professional activities (4)

University of Valladolid: Valladolid, Castilla y León, ES

2020-10 | Extraordinary doctorate award cum laude
Distinction
Source: Self-asserted source
Manuel Lopez-Martin

Telefónica de España: Madrid, Madrid, ES

2018-11 | Telefonica Data Science Awards 2018
Distinction
Source: Self-asserted source
Manuel Lopez-Martin

Institute of Electrical and Electronics Engineers: Piscataway, New Jersey, US

2012-10 | Senior Member
Distinction
Source: Self-asserted source
Manuel Lopez-Martin

Association for Computing Machinery: New York, NY, US

2009-02 | Senior Member
Distinction
Source: Self-asserted source
Manuel Lopez-Martin

Works (19)

Novel Data-Driven Models Applied to Short-Term Electric Load Forecasting

Applied Sciences
2021-06 | Journal article | Author
DOI: 10.3390/app11125708
Contributors: Manuel Lopez-Martin; Antonio Sanchez-Esguevillas; Luis Hernández-Callejo; Juan Ignacio Arribas; Belén Carro
Source: check_circle
Multidisciplinary Digital Publishing Institute

Additive Ensemble Neural Network with Constrained Weighted Quantile Loss for Probabilistic Electric-Load Forecasting

Sensors
2021-04 | Journal article | Author
DOI: 10.3390/s21092979
Contributors: Manuel Lopez-Martin; Antonio Sanchez-Esguevillas; Luis Hernández-Callejo; Juan Ignacio Arribas; Belén Carro
Source: check_circle
Multidisciplinary Digital Publishing Institute

Application of deep reinforcement learning to intrusion detection for supervised problems

Expert Systems with Applications
2020 | Journal article
DOI: https://doi.org/10.1016/j.eswa.2019.112963
Part of ISSN: 0957-4174
Source: Self-asserted source
Manuel Lopez-Martin

Detection of early stages of Alzheimer’s disease based on MEG activity with a randomized convolutional neural network

Artificial Intelligence in Medicine
2020 | Journal article
DOI: https://doi.org/10.1016/j.artmed.2020.101924
Part of ISSN: 0933-3657
Source: Self-asserted source
Manuel Lopez-Martin

IoT type-of-traffic forecasting method based on gradient boosting neural networks

Future Generation Computer Systems
2020 | Journal article
DOI: https://doi.org/10.1016/j.future.2019.12.013
Part of ISSN: 0167-739X
Source: Self-asserted source
Manuel Lopez-Martin

PhD Thesis: Novel applications of Machine Learning to Network Traffic Analysis and Prediction

University of Valladolid
2019 | Dissertation or Thesis
DOI: 10.13140/RG.2.2.18277.76008
Source: Self-asserted source
Manuel Lopez-Martin

Neural network architecture based on gradient boosting for IoT traffic prediction

Future Generation Computer Systems
2019-11 | Journal article
DOI: 10.1016/j.future.2019.05.060
Part of ISSN: 0167-739X
Source: Self-asserted source
Manuel Lopez-Martin

Novel machine learning algorithms for cybersecurity in IoT networks

II Ibero-American Congress of Smart Cities (ICSC-CITIES 2019), Soria, Spain
2019-09 | Conference paper
Source: Self-asserted source
Manuel Lopez-Martin

Adversarial environment reinforcement learning algorithm for intrusion detection

Computer Networks
2019-08 | Journal article
DOI: 10.1016/j.comnet.2019.05.013
Part of ISSN: 1389-1286
Source: Self-asserted source
Manuel Lopez-Martin

Shallow neural network with kernel approximation for prediction problems in highly demanding data networks

Expert Systems with Applications
2019-06 | Journal article
DOI: 10.1016/j.eswa.2019.01.063
Part of ISSN: 0957-4174
Source: Self-asserted source
Manuel Lopez-Martin

Variational data generative model for intrusion detection

Knowledge and Information Systems
2018-12-13 | Journal article
DOI: 10.1007/s10115-018-1306-7
Source: Self-asserted source
Manuel Lopez-Martin

Application of Machine Learning to prediction problems in data networking

Machine Learning Summer School 2018
2018-09 | Conference poster
URI: http://mlss.ii.uam.es/mlss2018/posters.html
Source: Self-asserted source
Manuel Lopez-Martin

Deep Learning Model for Multimedia Quality of Experience Prediction Based on Network Flow Packets

IEEE Communications Magazine
2018-09 | Journal article
DOI: 10.1109/MCOM.2018.1701156
Source: Self-asserted source
Manuel Lopez-Martin

Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT

Sensors
2017-08 | Journal article
DOI: 10.3390/s17091967
Source: check_circle
Multidisciplinary Digital Publishing Institute

Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things

IEEEAccess
2017-08 | Journal article
DOI: 10.1109/ACCESS.2017.2747560
Source: Self-asserted source
Manuel Lopez-Martin

Review of Methods to Predict Connectivity of IoT Wireless Devices

Ad Hoc & Sensor Wireless Networks
2017-07 | Journal article
Source: Self-asserted source
Manuel Lopez-Martin

Detection Method for Phase Synchronization in a Population of Spiking Neurons

Natural and Artificial Models in Computation and Biology: 5th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2013, Mallorca, Spain, June 10-14, 2013. Proceedings, Part I
2013 | Book chapter
DOI: 10.1007/978-3-642-38637-4_44
Part of ISBN: 978-3-642-38637-4
Source: Self-asserted source
Manuel Lopez-Martin

Risk driven software product assurance experience for small satellites

2nd ESA Symposium on Space Product Assurance and Software PA Workshop, Noordwijk, The Netherlands
1996-03 | Conference paper
Source: Self-asserted source
Manuel Lopez-Martin

Structured analysis and design of the MiniSat on-board software

International Symposium on Small Satellites Systems and Services. Biarritz, France
1994-06-07 | Conference paper
Source: Self-asserted source
Manuel Lopez-Martin

Peer review (1 review for 1 publication/grant)

Review activity for Applied sciences. (1)
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