“Doctor en Informática por la Universidad Politécnica de Madrid, Premio Extraordinario a la Mejor Tesis Doctoral(2001). Master of Science in Biomedical Engineering, University of California, Los Angeles (UCLA).”

CARRERA PROFESIONAL

Doctor en Informática por la Universidad Politécnica de Madrid, Premio Extraordinario a la Mejor Tesis Doctoral(2001). Master of Science in Biomedical Engineering, University of California, Los Angeles (UCLA). Enrique tiene una amplia experiencia investigadora tanto en entornos académicos como industriales, con más de 100 artículos científicos y 15 patentes.  Ha trabajado como investigador aplicado en Inteligencia Artificial desarrollando sus actividades en Telefónica Investigación y Desarrollo durante 10 años  y con anterioridad como investigador senior en el Courant Institute of Mathematical Sciences de la New York University (2001/2003), en el Department of Biomedical Engineering de UCLA (2006/2009)y en el Department of Informartion Systems de Brunel University, Londres (2003/2006).

FORMACIÓN ACADÉMICA

University of California, Los Angeles (UCLA), Los Angeles, CA 2007

M.Sc. Biomedical Engineering. GPA 4.0. Biomedical Engineering Department.

  • Title: \A Comparison Study of JPRESS and COSY for Quantitation of 2D Magnetic Resonance Spectroscopy”

Universidad Politecnica de Madrid, Madrid, Spain December 2001

Ph.D.(Doctor) in Computer Science, Highest Honours \ Cum Laude”

  • Title: \High-Speed Fuzzy Systema on Parallel Architectures (in spanish)”
  • Best Ph.D. Thesis Award School of Computer Science 2001

Universidad de Valladolid, Valladolid, Spain May 1996

M.Sc. in Computer Engineering

EXPERIENCIA PROFESIONAL

University of California, Los Angeles (UCLA) , CA, USA Sep 2006 – March 2008 Graduate Researcher, Biomedical Engineering Department, UCLA Medical Center Research leader for a cancer detection tool based on magnetic resonance spectroscopy. Build a ground truth database with cancer patients (in collaboration with Ronald Reagan UCLA Medical Hospital). Used a supervised approach to classify patients and the degree of risk for cancer (Fuzzy C-Means 1 clustering, Hierarchical Clustering). Personalization tool for medical patients.

Brunel University, London, UK Sep. 2003 – Sep. 2006 AHRB Research Fellow, Department of Information Systems and Computing (DISC) Research leader in a project that studied and evaluated user behavior when interacting with digital libraries and the web. Key words: User Modeling, Machine Learning, Data Mining, Personalization.

New York University (NYU), New York City, NY, USA Sep. 2001 – Sep 2003 MEC-Fulbright Postdoctoral Researcher. Courant Institute of Mathematical Sciences, Department of Computer Science. Leading research in data mining and user modeling for improving user experience when interacting with the Web. Prediction of pages and topics of interest to optimize downloading time. Keywords: Data Mining, Personalization, Association Rules, Temporal Association Rules.

Texas A&M University, College Station, TX, USA Summer 1999 Visiting Researcher, Center for Fuzzy Logic, Robotics and Intelligent Systems (CFL) Applications of fuzzy logic and deployement of programmable fuzzy logic processors.

Universidad Politecnica de Madrid, UPM, Madrid, Spain Sep 1997 – Aug. 2001 Ph.D. Fellow, School of Computer Science. Ph.D. Thesis in pattern recognition, fuzzy logic, and fuzzy logic applications.

EADS-ASTRIUM-CRISA, Madrid, Spain Dec. 1996- Jun. 1997 Aerospace Technology. Quality Engineer. Software quality/conguration control, Responsible for the design of a conguration control system.

Publicaciones

Metrics (as of April 2021)
Number of Publications in Jounals: 35
Number of Publications in Proceedings/Workshops:80
Number of Patents: 13
Total number of citations (google schoolar): 4050
h-index: 35 i-10 index: 60

Journal Publications
“Trade-o s between individual and ensemble forecasts of an emerging infectious disease”, Rachel J
Oidtman, Elisa Omodei, Moritz UG Kraemer,…,Enrique Frias-Martinez, Manuel Garcia-Herranz,
Alex Perkins, MedXiv (under revision at Nature Communications)

“Spatial sensitivity Analysis for Urban Hotspots using Cell Phone Traces”, J.Wu, E. Frias-Martinez,
V. Frias-Martinez, Environment and Planning B: Urban Analytics and City Science (accepted,
publication pending)

“The inverted U-shaped e ect of urban hotspots spatial compactness on urban economic growth”,
Xu, W., Chen, H., Frias-Martinez, E., Cebrian, M., Li, X. (2019). Royal Society open science, 6(11),
181640.

“MobInsight: A Framework using Semantiv Neighborhood Features for Localized Interpretations of
Urban Mobility”, S. Park, J. Serra, E. Frias-Martinez, M. Oliver, IEEE Transactions on Interactive
Intelligent Systems, Publication Pending, 2017
2

“Estimacion de la pobreza utilizando datos de telefonoscelulares: evidencia de Guatemala” , M
Hernandez, L Hong, V Frias-Martinez, A Whitby, E Frias-Martinez, Manual sobre utilidades de Big
Data para Bienes Publicos (Invited Book Chapter in SPanish), 2017

“Mobile Network Data for Public Health: Opportunities and Challenges”, N. Oliver, A. Matic, E.
Frias-Martinez, Frontiers in Digital Health 07 August 2015 http://dx.doi.org/10.3389/fpubh.2015.00189

“Exploring the potential of phone call data to characterize the relationship between social network
and travel behavior”, M. Picornell, T. Ruiz, M. Lenormand, J.J. Ramasco, T. Dubenet, E. Frias-
Martinez, Transportation Vol. 42 Issue 4 (2015) Page 647-668 (Impact factor 1.61)

“Uncovering the spatial structure of mobility networks”, T. Louail, M. Lenormand, M. Picornell, O.
Garcia Cantu, R. Herranz, E. Frias-Martinez, J. Ramasco, and M. Barthelemy, Nature Communi-
cations, Volume: 6, Article number: 6007 (impact factor: 10.74)

“Cross-checking di erent sources of mobility information”, M. Lenormand, M. Picornell, O.G.
Cantu-Ros, A. Tugores, T. Louail, R. Herranz, M. Barthelemy, E. Frias-Martinez, J.J. Ramasco,
PLOS ONE, 2014 (impact factor: 3.73)

“Spectral Clustering for Sensing Urban Land Use using Twitter Activity”, V. Frias-Martinez, E.
Frias-Martinez, Engineering Applications of Arti cial Intelligence, Vol. 35, October 2014, Pages
237{245, 2014 (Impact factor 1.9)

“From mobile phone data to the spatial structures of cities”, T. Louail, M. Lenormand, O. Garca
Cantu, M. Picornell, R. Herranz, E. Frias-Martinez, J.J. Ramasco, M. Barthelemy, Nature Scienti c
Reports 4, Article Number: 5276, 2014 (Impact factor 2.92)

“Consensus Clustering for Urban Land Use Analysis using Cell Phone Network Data”, V. Frias-
Martinez, V.Soto, A. Sanchez, E. Frias-Martinez, Int. Journal of Ad-Hoc and Ubiquitous Comput-
ing, Vol. 17, No. 1 (2014) pp. 39 – 58 (Impact Factor 0.9)

“Adaptive Non-Parametric Identi cation of Dense Areas Using Cell Phone Records for Urban Anal-
ysis”, A. Rubio, A. Sanchez, E. Frias-Martinez, Int. J. Engineering Applications of Arti cial Intel-
ligence (EAAI), Vol. 26(1), Jan 2013, pp. 551-563 (Impact factor 1.9)

“On the Relation between Socio-Economic Status and Physical Mobility”, V. Frias-Martinez, J.
Virseda, E. Frias-Martinez, Journal of Information Technology for Development, Special Issue on
ICT and Human Mobility: Cases from developing countries and beyond, Feb. 2012 , pp 1-16

“Fermis Sibyl: Mining the gamma-ray sky for dark matter subhaloes”, N. Mirabal, V. Frias-Martinez,
T. Hassan, E. Frias-Martinez, Monthly Notices Royal Astronomical Society: Letters Volume 424,
pages L64-L68, 2012. (Impact factor: 5.1)

“Multi-dimensional MR spectroscopy: towards a better understanding of hepatic encephalopathy”,
Sarma, Manoj K., Amir Huda, Rajakumar Nagarajan, Charles H. Hinkin, Neil Wilson, Rakesh K.
Gupta, Enrique Frias-Martinez et al. Metabolic brain disease 26, no. 3 (2011): 173-184. (Impact
factor: 2.39)

“The Role of Telco Companies in Human Mobility Applications”, E. Frias-Martinez in Tecnologias
para las Comunicaciones del Futuro, ISBN 978-84-9916-948-4, 2010 pp. 126-130

“Evaluation of a Personalized Digital Library based on Cognitive Styles: Adaptivity vs. Adaptabil-
ity, E. Frias-Martinez, S. Chen, X. Liu in International Journal of Information Management, 29(1),
48-56, 2009. (Impact factor 2.2)
3

“Three-Dimensional Facial Surface Modeling Applied to Recognition “, A.B. Moreno, A. Sanchez,
E. Frias-Martinez, Int. Journal Engineering Applications of Arti cial Intelligence 22, 1233-1244,
2009. (Impact factor 1.9)

“Understanding Web Site Redesigns in Small and Medium-Sized Enterprises (SMEs): A UK based
study on the applicability of e-commerce stage Models”, F. Alonso, G. Fitzgerald, E. Frias-Martinez
in European Journal of Information Systems (2009) 18, 264-279 (Impact factor: 1.55)

“Investigation of Behavior and Perception of Digital Library Users: A cognitive Style Perspec-
tive”, E. Frias-Martinez, S. Chen, X. Liu in International Journal of Information Management, Vol.
28(5),Pages 355-365, 2008 (Impact factor 2.2)

“Automatic Generation of Cognitive Theories using Genetic Programming”, E. Frias-Martinez, F.
Gobet, in Minds and Machines: Journal of Arti cial Intelligence, Philosophy and Cognitive Science,
17(3), 287-309, 2007 (Impact factor: 0.57)

“The Role of Human Factors in Stereotyping Behaviour and Perception of Digital Library Users: A
Robust Clustering Approach”, E. Frias-Martinez, S. Chen, X. Liu, R. Macreadie in User Modeling
and User Adapted Interaction 17(3), 2006, 305-337 (Impact factor: 1.48)

“Automatic Cognitive Style Identi cation of Digital Library Users for Personalization”, E. Frias-
Martinez, S. Chen, X. Liu, in Journal of the American Society for Information Science and Technol-
ogy 58(2), 237-251, 2006 (Impact factor 2.23)

“Automated User Modeling for Personalized Digital Libraries”, E. Frias-Martinez, G. Magoulas, S.
Chen, R. Macredie, in International Journal of Information Management 26 (3), pp.234-248, 2006
(Impact factor 2.23)

“Survey of Data Mining Approaches to User Modeling for Adaptive Hypermedia”, E. Frias-Martinez,
S. Chen, X. Liu, in IEEE Transactions in System, Man and Cybernetics Part C 36(6), 734-749, 2006.

“Robust Representation of 3D Faces for Recognition”, A.B. Moreno, A. Sanchez, E. Frias-Martinez,
in International Journal of Pattern Recognition and Arti cial Intelligence Vol. 20(8), 2006.

“Support Vector Machines versus Multi-Layer Perceptrons for Ecient O -Line Signature Recogni-
tion”, E. Frias-Martinez, A. Sanchez, J. Velez, in Engineering Applications of Arti cial Intelligence
Vol. 19 (6), pp. 693-704, 2006

“Modeling Human Behavior in User-Adaptive Systems: Recent Advances Using Soft Computing
Techniques”, Frias-Martinez E., Magoulas G., Chen S., Macredie R., in Expert Systems with Appli-
cations, vol. 29(2), 2005, pp. 320-329

“Ecient Fuzzy Compiler for SIMD Architectures”, E. Frias-Martinez, J. Gutirrez-Ros, F. Fernan-
dez, in International Journal of Applied Soft Computing, Vol. 4(3), 2004, pp. 287-30.

“Design of a Lukasiewicz Rule-Driven Fuzzy Processor”, E. Frias-Martinez, in Soft Computing , a
Fusion of Foundations, Methodologies and Applications, Vol. 7(2002), no.1,pp. 65-71

“Design of a Rule-Driven Architecture for a Generic T-norm”, E. Frias-Martinez, J. Gutierrez-Ros,
F. Fernandez, in Mathware and Soft Computing, Vol. VII, no. 3,Dec. 2000
Peer-Reviewed Conference Proceedings
4

“Addressing Under-Reporting to Enhance Fairness and Accuracy in Mobility-based Crime Predic-
tion”, J. Wu, E. Frias-Martinez, V. Frias-Martinez, ACM SIGSPATIAL 2020

“Prediccion del Numero de Infectados por Enfermedades vricas usando Modelos SIR y Movilidad
generada a Partir de la red de telefonia movi”, E. Frias-Martinez, Book Chapter of `El Mito del
Algoritmo: cuentos y cuentas de la Inteligencia Arti cial’ (editorial Anaya Multimedia

“Characterization of the COVID-19 Pandemic Impact on a Mobile Network Operator Trac. Lutu,
A., Perino, D., Bagnulo, M., Frias-Martinez, E., Khangosstar, J. (2020, October). A In ACM IMC.

“Actionable forecasting for emerging infectious diseases: a case study of the 2015-2017 Zika epidemic
in Colombia, Oidtman, R. J., Omodei, E., Kraemer, M. U., Castaneda-Orjuela, C. A., Rivera, E.
C., Misnaza-Castrillon, S., E. Frias-Martinez, Garca-Herranz, M., In 2020 ESA Annual Meeting

“Harnessing Cell Phone Traces to Model the Spread of Zika in Colombia”, D. Perrota, E. Frias-
Martinez, M. Luengo-Oroz, D. Paolotti, M. Tizzioni, A. Vespigniani, NetSciX 2020, Tokio, Japan

“Characterization of Internal Migrant Behavior in the Immediate Post-Migration Period using Cell
Phone Traces”, L. Hong, J. Wu, E. Frias-Martinez, A. Villarreal, V. Frias-Martinez, 10th ACM Int.
Conf.Information and Communication Technologies and Development (ICTD)

“Modelling the Epidemics Spread of Zika Using Mobile Phone Data in Colombia”. D. Perrotta, E.
Frias-Martinez, M. Luengo-Oroz, D. Paolotti, M. Tizzoni, A. Vespignani, Conference on Complex
Systems 2018

“Accuracy and Bias in the Identi cation of Internal Migrants using Cell Phone Data”, L. Hong, J.
Wu, E. Frias-Martinez, A. Villareal, V. Frias-Martinez, AAAI ICWSM Workshop on Making Sense
of Online Data for Population Research, 2018

“Climate Change Induced Migrations from a Cell Phone Perspective”, S. Isaacman, V. Frias-
Martinez, L. Hong, E. Frias-Martinez, NetMob 2017

“LDA Mapping of Regional Socioeconomic Status”, L. Hong, E. Frias-Martinez, V. Frias-Martinez,
NetMob 2017

“Estimating poverty using cell phone data: evidence from Guatemala”, M Hernandez, L Hong, V
Frias-Martinez, A Whitby, E Frias-Martinez, World Bank Group Policy Research Paper, 2017

“Topic Models to Infer Socio-Economic Maps”, L Hong, E Frias-Martinez, V Frias-Martinez, 13th
AAAI Conference on Arti cial Intelligence, AAAI 2016

“Understanding Lending Behaviors on Online Microlending Platforms: The Case for Kiva”, Gaurav
Paruthi, Enrique Frias-Martinez and Vanessa Frias-Martinez, 2015 AAAI Conference on Web and
Social Media (ICWSM)

“Studying Human Behavior through the Lens of Mobile Phones during Floods”, A.J. Morales, D.
Pastor-Escuredo, Y. Torres, V. Frias-Martinez, E. Frias-Martinez, N. Oliver, A. Rutherford, T.
Logar, R. Clausen-Nielsen, O. de Backer, M.A. Luengo-Oroz, NetMob 2015, MIT Media Lab

“Flooding through the lens of mobile phone activity”, D. Pastor, A. Morales, Y. Torres, J. Bauer,
A. Wadhwa, C. Castro-Correa, A. Calderon-Mariscal, L. Romano , J. Lee, A. Rutherford, V. Frias-
Martinez, N. Oliver, E. Frias-Martinez, M. Luengo-Oroz, IEEE Global Humanitarian Technology
Conference (GHTC), 2014
5

“To Call, or To Tweet? Understanding 3-1-1 Citizen Complaint Behaviors”, V. Frias-Martinez, A.
Sae-Tang, E. Frias-Martinez, Sixth Int. Conf. on Social Computing, SocialCom 2014, Stanford, CA,
USA

“Assessing the Potential of Ride-Sharing Using Mobile and Social Data”, B. Cici, A. Markopoulou, E.
Frias-Martinez, N. Laoutaris, 2014 ACM International Joint Conference on Pervasive and Ubiquitous
Computing (UbiComp), 2014

“Can Cell Phone Traces Measure Social Development?”, V. Frias-Martinez, V. Soto, J. Virseda, E.
Frias-Martinez, Third Conference on the Analysis of Mobile Phone Datasets, NetMob 2013, Boston,
MA

“Simulation of Epidemic Spread using Cell-Phone Call Data: H1N1 Case Study”, E. Frias-Martinez,
G. Williamson, V. Frias-Martinez, Third conference on the Analysis of Mobile Phone Datasets,
NetMob 2013, Boston, MA

“Exploiting Foursquare and Cellular Data to Infer User Activity in Urban Environments”, A. Noulas,
C. Mascolo and E. Frias-Martinez, IEEE Mobile Data Management 2013 (MDM 2013)

“Forecasting Socioeconomic Trends With Cell Phone Records”, V. Frias-Martinez, C. Soguero, M.
Josephidou and E. Frias-Martinez, 3rd ACM Symposium on Computing for Development (DEV’13),
Bangalore, India, 2013

“Characterizing Urban Landscapes using Geolocated Tweets”, V. Frias-Martinez, V. Soto, H. Ho-
hwald, E. Frias-Martinez, 2012 Int. Conference on Social Computing (SocialCom), Amsterdam, The
Nederlands, 2012

“An Agent-Based Model of Epidemic Spread using Human Mobility and Social Network Informa-
tion”, E. Frias-Martinez, G. Williamson, V. Frias-Martinez, The 3rd IEEE Int. Conf. on Social
Computing (SocialCom 2011), Boston, MA, USA

“Urban Analysis for the XXI Century: Using Pervasive Infrastructures for Modeling Urban Dynam-
ics”, E. Frias-Martinez, XXI Jornadas Telecom: Las TIC en las Ciudades del Futuro, Santander,
2011

“Prediction of Socioeconomic Levels using Cell Phone Records”, V. Soto, V. Frias-Martinez, J.
Virseda and E. Frias-Martinez, International Conference on User Modeling, Adaptation and Person-
alization (UMAP), Industrial Track, Girona, Spain, 2011

“Querying Spatio-Temporal Patterns in Mobile Phone-Call Databases”, M. Vieira , E. Frias-Martinez,
P. Bakalov, V. Frias-Martinez, V. Tsotras, 11th Int. Conf. On Mobile Data Management MDM2010,
Kansas City, Missouri

“Characterizing Dense Urban Areas from Mobile Phone-Call Data: Discovery and Social Dynamics”,
M. Vieira, V. Frias-Martinez, N. Oliver, E. Frias-Martinez, 2nd Int. Conference on Social Computing
(SocialCom2010), Minneapolis, Minnesota, USA

“The Anatomy of Mobile Handsets: On the development of e ective cell phone services”, V. Frias-
Martinez, J. Virseda, E. Frias-Martinez, 2nd International Conference on M4D – Mobile Communi-
cation Technology for Development,Kampala, Uganda, November 2010

“Towards Large Scale Technology Impact Analyses: Automatic Residential Localization from Mobile
Phone-Call Data”, V. Frias-Martinez, J. Virsena, A. Rubio, E. Frias-Martinez, International Con-
ference on Information and Communication Technologies and Development ICTD 2010, London,
6
UK

“Human Mobility in Advanced and Developing Economies: A Comparative Analysis”, A. Rubio, V.
Frias-Martinez, E. Frias-Martinez and N. Oliver, AAAI 2010 Spring Symposia Arti cial Intelligence
for Development, AI-D 2010, Stanford, USA

“A Gender-centric Analysis of Calling Behavior in a Developing Economy Using Call Detail Records”,
V. Frias-Martinez, E. Frias-Martinez and N. Oliver, AAAI 2010 Spring Symposia Arti cial Intelli-
gence for Development, AI-D 2010, Stanford, USA

“Analyzing the Role of Dimension Arrangement for Data Visualization in Radviz”, L. di Caro, V.
Frias-Martinez, E. Frias-Martinez, PAKDD 2010, Hyderabad, India

“User Modeling for Telecommunication Applications: Experiences and Practical Implications”, H.
Hohwald, E. Frias-Martinez, UMAP 2010 – Industrial Track, Hawaii, USA

“MobileWeb Pro ling: A Study of Sur ng Habits of Mobile Users”, D. Olmedilla, E. Frias-Martinez,
R. Lara, UMAP 2010-Industrial Track, Hawaii, USA

“How did you get to know that? A traceable word-of-mouth algorithm”, M. Cebrian, E.Frias-
Martinez, H. Hohwald, R. Lara, N. Oliver, Symposium on Social Intelligence and Networking
(SIN09), August 2009, Vancouver, Canada

“Tracking medication information accross medical records”, J. E. Iglesias, K. Rocks, N. Jadahan-
shad, E. Frias-Martinez, A.T. Bui, American Medical Informatics Asociation (AMIA) 2009 Anual
Symposium

“Improved Spectral resolution in 2D Localized Correlated Spectroscopy Using Enhanced Covariance
NMR”, N. Wilson, E. Frias-Martinez, M.A. Thomas, Proc. Int. Society for Margnetic Resonance
in Medicine 2009 (ISMRM).

“A Study on the Granularity of User Modeling for Tag Prediction”, E. Frias-Martinez, M. Cebrian,
A. Jaimes, 2008 IEEE/ACM/WIC International Conference on Web Intelligence, 9-12Dec., Sydney,
2008

“ProFit-based Quantitation of Cerebral Metabolites using 2D L-COSY at 3T Magnetic Resonance”,
E. Frias-Martinez, N. Rajakumar, X. Liu, et al., ISMRM 2008 Proc. Internacion Society for Magnetic
Resonance in Medicine, Toronto, Canada May 2008

“A Pilot Comparison of 2D and 1D MR Spectroscopic Quantitation of Metabolites in Healthy Human
Brain at 3T Magnetic Resonance”, E. Frias-Martinez, N. Rajakumar, S. Ramadan, et al., ISMRM
2008 Proc. International Society for Magnetic Resonance in Medicine, Toronto, Canada May 2008

“Pro t-Based Two-dimensional 1H MR Spectroscopic Quantitation of metabolies in healthy Human
Brain using 3T and 1.5T MRI scanners, M.A.Thomas, E. Frias-Martinez, S. Liu, et al., RSNA 2007
Proc. of the Radiological Society of North America, Chicago, USA, Nov. 2007

“Mining User Preferences of Multimedia Interfaces with K-modes”, K.A. Chrysostomou, E. Frias-
Martinez, S. Y. Chen, X. Liu, in 2006 IEEE International Conference on Systems, Man, and Cyber-
netics, Oct. 2006, Taipei, Taiwan

“Recent Soft Computing Approaches to User Modeling in Adaptive Hypermedia, Frias-Martinez
E., Magoulas G.D., Chen S., and Macredie R., In Paul De Bra, Wolfgang Nejdl (eds), Adaptive
Hypermedia and adaptive web-based systems, Eindhoven, The Netherlands, Aug. 2004, LNCS
7
3137, Springer, 104-113

“A Customizable Behavior Model for Temporal Prediction of Web User Access Sequences”, E. Frias-
Martinez, Vijay Karamchety in O.R. Zaiane, J. Srivastava, M. Spiliopolou and B Masand (Eds.),
LNAI 2703, 2003, ISBN:3-540-20304-4

“Design of a Fuzzy Distance for a CBIR System”, Oscar D. Robles Snchez, E. Frias-Martinez in
Proceedings of the Second European Symposium on Intelligent Technologies, Hybrid Systems and
their implementation on Smart Adaptive Systems, 19-21 September 2002, Albufeira, Portugal

“Universal Fuzzy System to Takagi-Sugeno Fuzzy System Compiler”, E. Frias-Martinez, in Proc.
2002 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2002), Honolulu, Hawaii, USA,
May 12-17, 2002, pp. 305-309

“Design of a fuzzy positioning controller for a robot (in Spanish), V. Frias-Martinez, E. Frias-
Martinez, in Proceedings of the 9th Conference of the Spanish Association of Arti cial Intelligence,
Gijn, Spain, Nov. 2001, pp. 705-714.

“Real-Time Fuzzy Controller on a HC12 Microcontroller (in Spanish), E. Frias-Martinez, V. Frias-
Martinez, in Proceedings of the 9th Conference of the Spanish Association of Arti cial Intelligence,
Gijn, Spain, Nov. 2001, pp. 1167-1176.

“Real-Time Fuzzy Processor on a DSP, E. Frias-Martinez, in 8th IEEE International Conference
on Emerging Technologies and Factory Automation, Antibes, Juan-les-pins, France, Oct. 2001, pp.
403-408.

“Real-Time Full-Programmable Fuzzy Processor on an Intel Pentium III, E. Frias-Martinez, J.
Gutirrez Ros, F. Fernndez, in The 2ndEuro. Soc. for Fuzzy Logic and Technology Conference,
Leicester (England), Sep. 2001, pp. 67-70.

“High-Speed Full-Programmable Fuzzy Controller (in Spanish), E. Frias-Martinez, J. Gutirrez Ros,
F. Fernndez, in X Spanish Congress on Fuzzy Logic, ESTYLF 2000, Seville, Sep. 2000, pp. 273-278.

“9 MFLIPs Serial-Parallel Full-Programmable Fuzzy Controller on a TI TMS 320C6201”, E. Frias-
Martinez, J. Gutirrez Ros, F. Fernndez, in The Third European Texas Instruments DSP Conference,
Paris, Sep. 2000.

“Rule-Driven Architecture for a Lukasiewicz T-norm”, E. Frias-Martinez, J. Gutirrez Ros, F. Fern-
ndez, in Eight International Conference on Information Processing and Management of Uncertainty
in Knowledge-based Systems(IPMU 2000), Madrid, Spain, Jul. 2000, pp. 25-29.

“High-Speed Full-Programmable Fuzzy Controller on a DSP”, E. Frias-Martinez, J. Gutirrez Ros, F.
Fernndez, in Second International ICSC Symposium on Engineering of Intelligent Systems, EIS’2000,
Scotland, Jun. 2000, pp. 599-603.

“Pseudo Rule-Driven Model for a Programmable T-norm”, E. Frias-Martinez, J. Gutirrez Ros, F.
Fernndez, in The Ninth IEEE Int. Conf. Fuzzy Systems, FUZZ-IEEE 2000, San Antonio, TX, USA,
May. 2000, pp. 324-327.
Workshops and Posters

“Crowdsourcing Land Use Maps via Twitter”, E. Frias-Martinez, V. Frias-Martinez, KDD 2014
Workshop in Data Science for Social Good, 2014
8

“Estimation of trac
ow using passive cell-phone data”, V. Frias-Martinez, B. Moumny, E. Frias-
Martinez, ACM SIGCOM Workshop of Data Science for Macro-Modeling, 2014

“Characterizing Social Response to Urban Earthquakes using Cell-Phone Network Data: The 2012
Oaxaca Earthquake”, B. Moumny, V. Frias-Martinez, E. Frias-Martinez, Pervasive Urban Applica-
tions -PURBA 2013, Zurich,Switzerland 2013

“Quantifying the Potential of Ride-Sharing using Call Description Records”, B. Cici, A. Markopoulou,
E. Frias-Martinez, N. Laoutaris, Int. Workshop on Mobile Computing Systems and Applications –
ACM HotMobile, 2013

“Uncovering the Spatio-Temporal Structure of Social Networks using Cell Phone Records”, Luis G.
Moyano, Oscar Rocardo Moll Thomae, E. Frias-Martinez, 2012 IEEE ICDM InternationalWorkshop
on Data Mining Networks (DaMNet 2012), Brussels, Belgium, 2012

“Estimation of Urban Commuting Patterns Using Cellphone Network Data”, V. Frias-Martinez,
C. Soguero, E. Frias-Martinez, ACM SIGKDD Int. Workshop on Urban Computing (UrbComp),
Beijin, China, 2012

“Computing Cost-E ective Census Maps From Cell Phone Traces”, Vanessa Frias-Martinez, Vic-
tor Soto, Jesus Virseda and Enrique Frias-Martinez, Pervasive Urban Applications -PURBA 2012,
Newscastle, UK, 2012

“Measuring the Impact of Epidemic Alerts on Human Mobility using Cell-Phone Network Data”,
Vanessa Frias-Martinez, Alberto Rubio and Enrique Frias-Martinez,Pervasive Urban Applications
-PURBA 2012, Newscastle, UK, 2012

“Automated Land Use Identi cation using Cell-phone Records”, V. Soto, E. Frias-Martinez, 3rd
ACM Int. Workshop on Hot Topics in Planet-Scale Measurement, in conjuntion with ACM Mo-
biSys2011, Washington DC, 2011

“Socio-Economic Levels and Human Mobility”, Vanessa Frias-Martinez, Jess Virseda and Enrique
Fras-Martnez, Qual Meets Quant Workshop – QMQ 2010 (at the International Conference on Infor-
mation and Communication Technologies and Development, ICTD 2010), London, UK

“ARBUD: A Reusable Architecture for Building User Models from Massive Datasets”, H. Hohwald,
E. Frias-Martinez, N. Oliver, Workshop on Pervasive User Modeling and Personalization (PUMP),
UMAP 2010, Hawaii, USA

“Explicit vs. Implicit Tagging for User Modelling”, E.Frias-Martinez, M. Cebrian, M. Pascual, N.
Oliver, Workshop in Personalization in Mobile and Pervasive Computing, UMAP 2009, Trento, Italy

“Introducing Causality and Traceability in Word-of-Mouth Algorithms”, H. Hohwald, E. Frias-
Martinez, M. Cebrian, N. Oliver, Workshop on Information in Networks (WIN), September 25-26,
NYU, NYC, USA, 2009

“Reduction of User Perceived Latency for a Dynamic and Personalized Site Using Web-Mining
Techniques”,Enrique Frias-Martinez, Vijay Karamcheti, WEBKDD2003Workshop, The Ninth ACM
SIGKDD International Conference on Knowledge Discovery and Data Mining, July 2003, Washing-
ton D.C.

“Machine Learning Techniques for Automatic Image Processing”, E. Frias-Martinez, FirstWorkshop
on Intelligent Image Processing and Biometric Recognition, Universidad Rey Juan Carlos, Madrid,
Spain, December 2003 (ISBN 84-9772-660-X).
9

“A Prediction Model for User Access Sequences”, E. Frias-Martinez, V. Karamcheti, in Proc. 4th
WEBKDD Web Mining for Usage Patterns and User Pro les Workshop part of The Eighth ACM
SIGKDD International Conference on Knowledge Discovery and Data Mining, 23-26 July 2002, Ed-
monton, Canada, pp. 53-62

Opinion Pieces

“The Future Role of Social Networks in Urban Planning”, ThinkBig.com, March 13th 2015

“Urban Analysis for the XXI Century: Using Pervasive Infrastructures for Modeling Urban Dynam-
ics”, ThinkBig Blog, January 2015

“The Role of Telco Companies in Human Mobility Applications”, E. Frias-Martinez in Tecnologias
para las Comunicaciones del Futuro, ISBN 978-84-9916-948-4, 2010 pp. 126-130
Patents

“Method for Gender Identi cation of a Cell Phone Subscriber”, US Patent US8457605 B2

“Content Recommendation Method and System based on Psychological factors from a use pro le”,
US Patent US8560486 B2

“A method for Residential Localization of Cell Phone Users”, US20130316741 A1

“Method for Preparing an Optimal Alternative Billing Plan for Mobile Telephony Users Managed
Through a Call Center”, US8738482 B2

“Method for automatic characterization of telephony users through labels”, US Patent Application
2012-0041944A1

“Method for the automatic Identi cation of Urban Dense Ares from cell phone records”, Pub. No:
US 2012/US8577380 B2

“Method, computer programs and a use for automatic identi cation and classi cation of land uses”,
United States Patent US8639213 B1

“Method, computer programs and a use for the prediction of the socioeconomic level of a region”,
US20140032448 A1

“Method and computer programs for the construction of communting matrices using call detail
records and a use for providing user’s mobility information”, US8838134 B2

“METHOD AND COMPUTER SYSTEM TO FORECAST ECONOMIC TIME SERIES OF A RE-
GION AND COMPUTER PROGRAM THEREOF “, United States Patent Application 20140372172
A1

“Method, system and computer-readable storage mediums for estimating a route”, European Patent
EP2822325 A1, US Patent US20150012213 A1

PREMIOS

Best PhD Thesis Award, School of Computer Science, Universidad Politecnica de Madrid, 2001

FPI Fellowship, 4-year Spanish Fellowship awarded by the Ministry of Education to pursue PhD studies in Spain, 1998 (200 awarded every year to all areas of knowledge)

Post-Doctoral MEC-Fulbright Fellowship, Spanish Commission for Scienti c Research, 2001- 2003

Ramon y Cajal Fellow, 5-year research contract awarded by the Spanish Commission for Scienti Research, Ranked #1 in Spain in the area of Computer Science for the 2008 call, Declined