Observatorio de I+D+i UPM
• ESPAÑOL
• ENGLISH
INVESTIGADORES
ESTRUCTURAS DE I+D+I
ACTIVIDAD INVESTIGADORA
INNOVACIÓN
Investigador
Bonifacio Alberto Mozo Velasco
Categoría Investigador
TITULAR UNIVERSIDAD
Escuela UPM
E.T.S DE ING. DE SISTEMAS INFORMÁTICOS
Departamento:
SISTEMAS INFORMÁTICOS
Area Conocimiento
ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES
Grupo de Investigación:
Grupo de Modelización Matemática y Biocomputación
Email (Directorio UPM)
a.mozo
upm.es
Teléfono (Directorio UPM)
910673683
Datos de Memorias relacionados
Proyectos de I+D+i y generación de recursos
40 Proyectos de I+D+i
1: (2007)
AUTO-ORGANIZACIÓN EN SISTEMAS DE COMUNICACIÓN EMERGENTES
2: (2007)
CEPOS: CENTRO DE PROVISIÓN DE SERVICIOS EN RED INTERDOMINIO
3: (2008)
Centro de Provisión de Servicios en Red Interdominio (CEPOS)
4: (2010)
REALIZACIÓN DE PROYECTO DE RECOMENDACIÓN DE CONSUMO EN SOCIAL MEDIA
5: (2010)
SERVICIOS AVANZADOS ENTRE NUBES
6: (2011)
Comunica Media: Uso de la grabación de vídeo, el screencast y la videoconferencia en el aula
7: (2011)
CREACIÓN DE LA CÁTEDRA ERICSON-UPM SOBRE SOFTWARE Y SISTEMAS.
8: (2011)
SERVICIOS AVANZADOS ENTRE NUBES
9: (2012)
CREACIÓN DE LA CÁTEDRA ERICSON-UPM SOBRE SOFTWARE Y SISTEMAS.
10: (2012)
CREACIÓN DE LA CÁTEDRA UPM-EL MUNDO DE COMUNICACIÓN DIGITAL
11: (2012)
RESILIENCE2050.eu: New design principles fostering safety, agility and resilience for ATM
12: (2013)
ACCESS NETWSORK DISCOVERY AND SELECTION FUNCTION
13: (2013)
CREACIÓN DE LA CÁTEDRA ERICSON-UPM SOBRE SOFTWARE Y SISTEMAS.
14: (2013)
SERVICIOS AVANZADOS ENTRE NUBES
15: (2014)
CREACIÓN DE LA CÁTEDRA ERICSON-UPM SOBRE SOFTWARE Y SISTEMAS.
16: (2014)
DESARROLLO E IMPLEMENTACION DE COMPONENTES SOFTWARE INTEGRADOS DENTRO DE UN SISTEMA DE EVALUACION, MONITORIZACION Y GESTION GLOBAL DURANTE EL CONTROL DE EJECUCIO
17: (2014)
DESARROLLO WEB EN ENTORNO SERVIDOR AVANZADO (IFCO7CM13)
18: (2014)
FP7 ONTIC( Online Network Traffic Characterization)
19: (2014)
FP7 ONTIC( Online Network Traffic Characterization)
20: (2014)
ONTIC: ONline Network TraffIc Characterization
21: (2015)
CogNet : Building an Intelligent System of Insights and Action for 5G Network Management
22: (2015)
CogNet: Building an Intelligent System of Insights and Action for 5G Network Management
23: (2015)
CREACIÓN DE LA CÁTEDRA ERICSON-UPM SOBRE SOFTWARE Y SISTEMAS.
24: (2015)
ONLINE NETWORK TRAFFIC CHARACTERIZATION ONTIC
25: (2016)
CREACIÓN DE LA CÁTEDRA ERICSON-UPM SOBRE SOFTWARE Y SISTEMAS.
26: (2017)
CREACIÓN DE LA CÁTEDRA ERICSON-UPM SOBRE SOFTWARE Y SISTEMAS.
27: (2017)
ONLINE NETWORK TRAFFIC CHARACTERIZATION ONTIC
28: (2018)
COGNET (BUILDING AN INTELLIGENT SYSTEM OF INSIGHTS AND ACTION FOR 5G NETWORK MANAGEMENT
29: (2018)
CREACIÓN DE LA CÁTEDRA ERICSON-UPM SOBRE SOFTWARE Y SISTEMAS.
30: (2018)
Deep-Augur: Deep-Augur
31: (2018)
Telecom Diagnostics
32: (2018)
Telecom Diagnostics: Telecom Diagnostics
33: (2019)
BOOST 4.0
34: (2019)
BOOST 4.0: Big Data Value Spaces for COmpetitiveness of European COnnected Smart FacTories 4.0
35: (2019)
CREACIÓN DE LA CÁTEDRA ERICSON-UPM SOBRE SOFTWARE Y SISTEMAS.
36: (2019)
DEEP-AUGUR - 18217 (EIT DIGITAL INFRAESTRUCTURE, CALL 2018)
37: (2019)
Deep-Augur 2019: Deep-Augur 2019
38: (2019)
SPIDER: a CyberSecurity Platform for vIrtualiseD 5G cybEr Range services
39: (2019)
SPIDER: a cyberSecurity Platform for vIrtualiseD 5G cybEr Range services
40: (2019)
TELECOM DIAGNOSTICS - 17161 (DIGITAL INFRAESTRUCTURE, CALL 2018)
Formación de Investigadores y Movilidad
3 Tesis Doctorales
1: (2017)
"Load Balancers for Virtual Network Functions in Software Defined Networks" (provisional title). PhD Student: Rodrigo López Manrique. University: Politécnica de Madrid. Doctorate in Computational Sciences and Technologies for Smart Cities. Supervisors: Alberto Mozo and Sandra Gómez Canaval. Starting date: September 2015. Provisional end date: December 2017.
2: (2017)
User Stateful Load Balancer for Virtual Network Functions (título provisional)
3: (2018)
Column subset selection in practice: e?cient heuristics and regularization
Difusión de Resultados de Investigación
17 Artículos en revistas
1: (2011)
Performance of Scheduling Policies in Adversarial Networks with Non-synchronized Clocks
2: (2015)
CLUS: Parallel Subspace Clustering Algorithm on Spark
3: (2015)
Massively Parallel Unsupervised Feature Selection on Spark
4: (2015)
Node sampling using Random Centrifugal Walks
5: (2015)
NPEPE: Massive Natural Computing Engine for Optimally Solving NP-complete Problems in Big Data Scenarios
6: (2016)
A Fast Iterative Algorithm for Improved Unsupervised Feature Selection
7: (2016)
Can Machine Learning aid in delivering new Use cases and Scenarios in 5G?
8: (2016)
CogNet: A Network Management Architecture Featuring Cognitive Capabilities
9: (2017)
Iterative column subset selection
10: (2017)
Probabilistic Leverage Scores for Parallelized Unsupervised Feature Selection
11: (2018)
A distributed and quiescent max-min fair algorithm for network congestion control
12: (2018)
Forecasting short-term data center network traffic load with convolutional neural networks
13: (2018)
Iterative column subset selection
14: (2019)
Regularized greedy column subset selection.
15: (2019)
Scalable Prediction of Service-Level Events in Datacenter Infrastructure Using Deep Neural Networks
16: (2019)
Scalable Prediction of Service-Level Events in Datacenter Infrastructure Using Deep Neural Networks
17: (2019)
The Mouseworld, a security traffic analysis lab based on NFV/SDN
3 Capítulos de libros
1: (2015)
Massively Parallel Unsupervised Feature Selection on Spark
2: (2015)
Massively Parallel Unsupervised Feature Selection on Spark
3: (2015)
NPEPE: Massive Natural Computing Engine for Optimally Solving NP-complete Problems in Big Data Scenarios
2 Libros
1: (2014)
Proceedings of First International Workshop in Big Data and Applications
2: (2014)
Proceedings of First International Workshop in Big Data and Applications. (Funded by FP7 ONTIC project, no. 619633).
1 Otras Publicaciones
1: (2011)
Construcción de redes de pequeño mundo mediante selección sesgada
27 Ponencia en Congresos
1: (2007)
"Performance of scheduling policies in adversarial networks with non synchronized clocks".
2: (2008)
La plataforma iTecSoft: Un caso de colaboración inter-organizativa 2.0.
3: (2010)
A novel P2P and cloud computing hybrid architecture for multimedia streaming QoS cost functions
4: (2010)
Biased Selection for Building Small-World Networks
5: (2010)
Biased Selection for Building Small-World Networks
6: (2011)
B-Neck: A Distributed and Quiescent Max-Min Fair Algorithm
7: (2011)
B-neck: a distributed and quiescent max-min fair algorithm
8: (2011)
Construcción de redes de pequeño mundo mediante selección sesgada
9: (2011)
Construcción de redes de pequeño mundo mediante selección sesgada
10: (2011)
Testing a Cloud Provider Network for Hybrid P2P and Cloud Streaming Architectures
11: (2012)
Brief Announcement: Node Sampling Using Centrifugal Random Walks.
12: (2012)
Node Sampling Using Random Centrifugal Walks
13: (2012)
SLBN: A Scalable Max-min Fair Algorithm for Rate-Based Explicit Congestion Control
14: (2014)
A Survey on feature selection and reduction for network traffic characterization
15: (2014)
A Telecom Analytics Framework for Dynamic Quality of Service Management
16: (2015)
Massively Parallel Unsupervised Feature Selection on Spark.
17: (2015)
NPEPE: Massive Natural Computing Engine for Optimally Solving NP-complete Problems in Big Data Scenarios.
18: (2016)
Feature Ranking and Selection for Big Data Sets.
19: (2016)
A Fast Iterative Algorithm for Improved Unsupervised Feature Selection.
20: (2016)
'Psceg: an unbiased parallel subspace clustering algorithm using exact grids.'
21: (2016)
Can Machine Learning aid in delivering new Use cases and Scenarios in 5G?
22: (2016)
Parallelized Unsupervised Feature Selection for Large-Scale Network Traffic Analysis
23: (2016)
Spark2Fires: A New Parallel Approximate Subspace Clustering Algorithm.
24: (2017)
Deep convolutional neural networks for detecting noisy neighbours in cloud infrastructure.
25: (2017)
Deep convolutional neural networks for detecting noisy neighbours in cloud infrastructure
26: (2017)
Probabilistic Leverage Scores for Parallelized Unsupervised Feature Selection.
27: (2017)
PROBABILISTIC LEVERAGE SCORES FOR PARALLELIZED UNSUPERVISED FEATURE SELECTION (ALPHA CORE B)
Explotación de Resultados y Transferencia de Tecnología
6 Patentes
1: (2010)
DATA STORAGE METHOD Method for the optimization of synchronization between memory
2: (2010)
DATA STORAGE METHOD Slogan: Row Database Dynamic Re-structuring
3: (2012)
DATA STORAGE METHOD
4: (2012)
METHOD FOR DATABASE STORAGE OF A TABLE WITH PLURAL SCHEMAS .
5: (2014)
Policy Controlled OffLoading Among Neighboring Networks.
6: (2014)
Policy Controlled OffLoading Among Neighboring Networks.
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