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Ignacio Martín Martínez
Teaching Assistant (FPU)

Telephone:: 91-624-8794
E-mail: ignmarti(at)it.uc3m.es
Address: Universidad Carlos III de Madrid. Avda de la Universidad, 30
E-28911 Leganés (Madrid) Spain
Visits: Escuela Politécnica Superior · Building Torres Quevedo ·
Office 4.1.F13


 TEACHING

(2014/2015): Multimedia Networks (Bachelor's degree in Audovisual System engineering, 3rd course)
(2017/2018): Multimedia Networks (Bachelor's degree in Audovisual System engineering, 3rd course)
(2018/2019): Multimedia Networks (Bachelor's degree in Audovisual System engineering, 3rd course)
 RESEARCH AND BIO

Ignacio Martín got his Bsc in Telematics engineering in 2014 and his Msc in Cibersecurity in 2015 from University Carlos III de Madrid. Currently he is PhD Candidate at the same university where he holds a FPU fellowship (Beca de Formación de Profesorado Universitario). In addition to his research Mr Martín teaches Multimedia Networks regularly to students from the third course of Audiovisual Systems engineering degree.

My research focuses on applications of Artificial Intelligence techniques (Machine Learning, Information retrieval) and Big Data technologies (Spark, MongoDB) to solving Internet-related problems, for example: Security (analytics-powered malware detection), Networking (Networking protocols and management automation) or cultural identities from social networks. Im am mainly interested in applied data analytics (AI, IR, BD), specially to Internet engineering problems, like security and networking. I am also interested in data mining and data collection (crawling and API mining), computational social science and mathematical related problems.
 PUBLICATIONS

Conferences

Analysis and Evaluation of Antivirus Engines in Detecting Android Malware: A Data Analytics Approach, I. Martín, J. A. Hernández, S. Santos, in European Intelligence and Security Informatics Conference (EISIC'18). Karlskrona Sweden, Oct 2018
Machine-Learning-Assisted Routing in SDN-based Optical Networks S. Troia, A.Rodríguez, I. Martin, J. A. Hernández, O. González de Dios, R. Alvizu, F. Musumeci, G. Maier, in European Conference on Optical Communications (ECOC'18). Rome, Italy, Sept 2018
Is Machine Learning Suitable for Solving RWA Problems in Optical Networks? I. Martin, J. A. Hernández, S. Troia, F. Musumeci, G. Maier, O. González de Dios, in European Conference on Optical Communications (ECOC'18). Rome, Italy, Sept 2018
SignatureMiner: A fast Anti-Virus signature intelligence tool; I. Martín, J. A. Hernández, S. Santos in IEEE Conf. Communications and Network Security (CNS'18). Beijing, China. Apr 2018 Best Poster Award
Insights of antivirus relationships when detecting Android malware: A data analytics approach; I. Martín, J. A. Hernández, S. Santos, A. Guzmán in ACM Conf. Computer and Communications Security (CCS'16). Viena, Austria. Oct 2016
Android malware detection from Google Play meta-data: selection of important features; A. Muñoz, I. Martín, A. Guzmán, J. A. Hernández in IEEE Conf. Communications and Network Security (CNS'15). Florence, Italy. Sep 2015

Journals

Android Malware Characterization using Metadata and Machine Learning Techniques; I. Martín, A. Muñoz J. A. Hernández, A. Guzmán in Security and Communication Networks, Hindawi, June 2018
Salary Prediction in the IT Job Market with Few High-Dimensional Samples: A Spanish Case Study; I. Martín, A. Mariello, R. Batitti, J. A. Hernández in International Journal of Computational Intelligence Systems, Atlantic Press, June 2018
 LINKS

[Spanish] SignatureMiner, nuestra herramienta de análisis y la homogeneización de firmas de antivirus in ElevenPaths
[Spanish] Un estudio sitúa a Cataluña como la quinta comunidad menos semejante al resto in EFE. TechReport
ICOM Hackathon 2018 winner announcements [Member of Winning UC3M team B] available at ICOM Global.
Multimedia Networks course available at UC3M CpenCourseWare.
View Ignacio Martin's profile on LinkedIn Follow @ignmarti
ORCID iD iconorcid.org/0000-0002-1217-7546

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