To be in the cutting-edge of business and technology, a company like Telefónica needs to be constantly looking beyond its telco boundary, to be updated in the latest tech discoveries. It needs to be close to what’s happening in the scientific community around the world, and to have a way to advance the state of the art, positioning Telefónica as a pioneer of the tech world.
Telefónica Research was created for this purpose. Under the strong and lasting tradition of R&D that Telefónica has had for over 30 years, the Research team in Telefónica pushes the boundaries of fundamental science and technology, sharing their knowledge within the international community, thus placing Telefónica in the forefront of scientific research.
Telefónica Research includes a diverse, multidisciplinary and international group of scientists who dare to explore the edges of knowledge, without losing the purpose of adding value to Telefónica’s business. The balance between the aim to explore and discover, the focus on nurturing the company and staying close to the business is one of the things that makes Telefónica Research one of the most unique and valuable assets of Telefónica.
The place the Research team has earned within the international scientific community as one of the top players of the academic research world is one of the guarantees Telefónica has of leading the technological revolution that will take us to the more human, more connected future we want.
This is our research team and their research areas:
Ferran Diego Andilla: Machine Learning and Deep Learning
Ioannis Arapakis: Machine Learning and Deep Learning, Human Computer Interaction
Enrique Blanco Henriquez: Machine Learning and Deep Learning
Kleomenis Katevas: Security and Privacy, Machine Learning and Deep Learning
Nicolas Kourtellis: Security and Privacy, Networking and Systems, Machine Learning
Jordi Luque: Machine Learning and Deep Learning, Human Computer Interaction
Andra Lutu: Networking and Systems
Eduard Marin: Security and Privacy, Networking and Systems
Enrique Frías-Martínez: Human Computer Interaction
Souneil Park: Human Computer Interaction
Diego Perino: Networking and Systems
Aravindh Raman: Networking and Systems
Mariona Carós Roca: Machine Learning and Deep Learning, Networking and Systems
Guillermo Cambara Ruiz: Machine Learning and Deep Learning
Carlos Segura: Machine Learning and Deep Learning
These are our latests publications:
Publications in press and general media:
02/11/2020: “Conservative News Sites Track You Lots More Than Left-Leaning Ones”: Investigation of online tracking for users who visit extreme left and right news websites in USA.
08/06/2020: “The Challenges and Opportunities in Online Safety”: Panel in The AAAI International Conference on Weblogs and Social Media.
14/05/2020: “Privacy & Satefy in the Cyberspace Today”: Webinar on topics related to cyber privacy and cyber safety faced by users nowadays, such as online tracking, aggression, inappropriate content and misinformation.
23/04/ 2020: “Civility in Online Discourse”: Panel in The Web Conference regarding civility of users online, how they interact, aggression and inappropriate behavior detection, misinformation diffusion, etc.
04/04/2020: “Online User Tracking in Extreme Right and Left-Leaning Websites” Investigation of online tracking for users who visit extreme left and right news websites in USA.
Advanced Network Operations in (Un)-Connected Remote Communities. D. Perino, X. Yang, J. Serra, A. Lutu, I. Leontiadis. ACM MobiCom, September 2020.
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, September 2020.
Actionable forecasting for emerging infectious diseases: a case study of the 2015-2017 Zika epidemic in Colombia. R. Oidtman, E Omodei, M.U.G. Kraemer, C.A. Castañeda, E. Cruz, P. Cifuentes, L. Rincón, E. Frias-Martinez, S. Hill, M. García-Herranz, T. Perkins. ESA, August 2020.
Learning Efficient Representations of Mouse Movements to Predict User Attention. I. Arapakis, L. Leiva. ACM SIGIR, July 2020.
Self-Supervised Reinforcement Learning for Recommender Systems X. Xin, A. Karatzoglou, I. Arapakis, J. M. Jose. ACM SIGIR, July 2020.
A unifying framework for modeling acoustic/prosodic entrainment: definition and evaluation on two large corpora. H.R. Gálvez, M. Gauder, J. Luque, A. Gravano. ACL SIGDIAL, July 2020.
DarkneTZ: Towards Model Privacy on the Edge using Trusted Execution Environments. Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Soteris Demetriou, Ilias Leontiadis, Andrea Cavallaro, Hamed Haddadi. ACM MobiSys, June 2020.
Transcription-Enriched Joint Embeddings for Spoken Descriptions of Images and Videos. B. Oriol, J. Luque, F. Diego, X. Giró. IEEE CVPR - EPIC workshop, June 2020.
Clash of the Trackers: Measuring the Evolution of the Online Tracking Ecosystem. Konstantinos Solomos, Panagiotis Ilia, Sotiris Ioannidis, Nicolas Kourtellis. TMA, June 2020.
Disturbed youtube for kids: Characterizing and detecting disturbing content on youtube. Kostantinos Papadamou, Antonis Papasavva, Savvas Zannettou, Jeremy Blackburn, Nicolas Kourtellis, Ilias Leontiadis, Gianluca Stringhini, Michael Sirivianos. AAAI ICWSM, June 2020.
A Retrospective Analysis of User Exposure to (Illicit) Cryptocurrency Mining on the Web. Ralph Holz, Diego Perino, Matteo Varvello, Johanna Amann, Andrea Continella, Nate Evans, Ilias Leontiadis, Chris Natoli, Quirin Scheitle. TMA, June 2020.
Power Prefixes Prioritization for Smarter BGP Reconvergence. J. Brenes, A. García-Martínez, M. Bagnulo, A. Lutu and C. Pelsser. IEEE/ACM Transactions on Networking, June 2020.
Remote monitoring of cardiac implanted electronic devices – legal requirements and ethical principles. J. Cosedis Nielsen, J. Kautzner, R. Casado-Arroyo, H. Burri, S. Callens, M. R Cowie, K. Dickstein, I. Drossart, G. Geneste, Z. Erkin, F. Hyafil, A. Kraus, V. Kutyifa, E. Marin, C. Schulze, D. Slotwiner, K. Stein, S. Zanero, H. Heidbuchel and A. G Fraser. EP Europace, May 2020.
Stop Tracking Me Bro! Differential Tracking Of User Demographics On Hyper-partisan Websites. Pushkal Agarwal, Sagar Joglekar, Panagiotis Papadopoulos, Nishanth Sastry, Nicolas Kourtellis. ACM WWW, April 2020.
A Self-Attentive Emotion Recognition Network. H. Partaourides, K. Papadamou, N. Kourtellis, I. Leontiades, S. Chatzis. IEEE ICASSP, April 2020.
Detection of speech events and speaker characteristics through photo-plethysmographic signal neural processing. Guillermo Cámbara, Jordi Luque, Mireia Farrús. IEEE ICASSP, April 2020.
Input complexity and out-of-distribution detection with likelihood-based generative models. Joan Serrà, David Álvarez, Vicent Gómez, Olga Slizovskaia, Jose F. Núñez, Jordi Luque. ICLR, April 2020.
These are the EU funded projects the research team is taking part on:
ACCORDION (2020-2022): ACCORDION establishes an opportunistic approach in bringing together edge resource/infrastructures (public clouds, on-premise infrastructures, telco resources, even end-devices) in pools defined in terms of latency, that can support NextGen application requirements. To mitigate the expectation that these pools will be “sparse”, providing low availability guarantees, ACCORDION will intelligently orchestrate the compute & network continuum formed between edge and public clouds, using the latter as a capacitor. Deployment decisions will be taken also based on privacy, security, cost, time and resource type criteria.
PIMCity - Building the next generation personal data platforms (2019-2021) Personal Information Management Systems (PIMS) aim to give users back control over their data, while creating transparency in the market. However, so far, they have failed to reach business maturity and sizeable user bases. PIMCity offers tools to change this scenario by: 1) implementing a PIMS development kit (PDK) to commoditize the complexity of creating PIMS, which will lower the barriers for companies and SME to enter the web data market; 2) designing and deploying novel mechanisms to increase users’ awareness; 3) demonstrating the effectiveness of the above tools by engineering EasyPIMS, the fully-fledged PIMS of PIMCITY.
DICE: Dynamic Interconnections for the Cellular Ecosystem (2019-2021) The DICE project is an H2020 Marie Curie Individual Fellowship, supporting the work of Andra Lutu on interconnection in the mobile ecosystem. Andra will work on proposing new solutions for dynamics interconnections between cellular operators world-wide, while also studying the current ecosystem and designing solutions to improve the experience of cellular users roaming internationally.
CONCORDIA: Cybersecurity Competence Network for Research and Innovation (2019-2023) A Cybersecurity Competence Network with leading research, technology, industrial and public competences. CONCORDIA provides excellence and leadership in technology, processes and services to establish an user-centric EU-integrated cyber security ecosystem for digital sovereignty in Europe.
INCOGNITO: Identity verification with privacy-preserving credentIals for anonymous access to online services (2019-2023) The overarching goal of INCOGNITO is to combine state-of-the-art technologies in a platform that will allow users to easily understand what is needed to access online services with respect to their privacy and be able to prove specific attributes of their identity or their whole identity.
I-BiDaaS (2018-2020) I-BiDaaS aims to empower users to easily utilize and interact with big data technologies, by designing, building, and demonstrating, an unified solution that: significantly increases the speed of data analysis while coping with the rate of data asset growth, and facilitates cross-domain data-flow towards a thriving data-driven EU economy.