Guillem Perarnau Llobet is an Associate Professor at the Department of Mathematics, Universitat Politècnica de Catalunya (UPC), affiliated with CRM (Centre de Recerca Matemàtica), IMTech (Institut de Matemàtiques de la UPC), and BGSMath (Barcelona Graduate School of Mathematics). His academic journey includes a PhD at UPC under Oriol Serra, followed by a CARP Postdoc Fellowship at McGill University with Bruce Reed and Louigi Addario-Berry (2013–2015), and a Lecturer position at the University of Birmingham (2016–2019). Current Role: Associate Professor, UPC Past Roles: Lecturer, University of Birmingham; Postdoc, McGill University Affiliations: CRM, IMTech, BGSMath Research Focus: Probabilistic and Extremal Combinatorics, Random Combinatorial Structures, Discrete Stochastic Processes, and Analysis of Randomized Algorithms. His work bridges theoretical rigor with practical algorithmic insights, particularly in graph theory and random graph dynamics. Article Trends: Recent publications emphasize algorithmic combinatorics, probabilistic methods in random graphs, and hypergraph Hamiltonicity. Key themes include mixing times, synchronization, and percolation phenomena across diverse graph models. Scientific Awards: CARP Postdoc Fellowship Grants & Collaborations: COCOA Grant (coPI) RandNET MSCA Exchange Programme Participant Spanish Discrete and Algorithmic Mathematics Network Coordinator
Javier Francisco Gamiz Caro serves as an Associate Professor in the Department of Systems, Automatic Control and Industrial Informatics at the School of Engineering (EEBE) within Universitat Politècnica de Catalunya (UPC). With over 24 documented academic activities spanning two decades, his career demonstrates sustained engagement in both teaching and research within industrial automation and control systems. His research focuses on Automation Project Management , Programmable Logic Controllers , Process Control , and Telemetry , with particular emphasis on water treatment applications. Recent work (2020-2023) centers on advanced control strategies for drinking water chlorination processes, including fuzzy gain scheduling, feed-forward control, and virtual sensor networks for wastewater monitoring. His publications reveal strong collaboration with researchers like Grau, Bolea, and Martinez across multiple projects. Analysis of his 15 most recent publications shows a consistent trajectory in industrial process automation, with water treatment systems as the dominant application domain. His work bridges theoretical control engineering with practical implementation in real-world water treatment facilities, demonstrating both academic rigor and industrial relevance. His academic service includes doctoral thesis supervision, as evidenced by his 2021 doctoral thesis on advanced chlorination control systems. He maintains active research through competitive R&D projects and conference presentations, with recent activities extending into human-robot collaboration for logistics applications. Technical infrastructure supporting his work includes the Unitat de Recerca, Transferència de Tecnologia i Innovació Docent en Automatització i Control de Processos (URT–ACP), which facilitates technology transfer and educational innovation in process automation.
Núria Ferran Ferrer is an Associate Professor at the Faculty of Information and Audiovisual Media at the University of Barcelona, where she has been employed since 2021. In July 2023, she was appointed as Delegate of the Rector for the direction of the Unit of Equality and as Director of the PhD Programme of Information and Communication. Her academic career spans over two decades, with previous positions including associated lecturer at the Universitat Oberta de Catalunya (2005-2021) and part-time professor at multiple Catalan universities. Her educational background includes: European PhD in Information Science from the University of Barcelona (2010) with "excellent cum laude" distinction Master's degree in Information and Knowledge Society from IN3-UOC (2005) Bachelor's degree in Information and Documentation from UOC (2003) Bachelor's degree in Journalism from Universitat Autònoma de Barcelona (1998) Núria Ferran Ferrer's research primarily focuses on gender bias in digital knowledge production systems, particularly Wikipedia, and the application of user experience (UX) design principles to information systems. Her work bridges the gap between information science, gender studies, and digital humanities, examining how knowledge organization systems perpetuate or challenge gender inequalities. She has conducted extensive research on Wikipedia's front page, category systems, and editorial processes from a gender perspective, while also exploring the application of UX methodologies to citizen science and open educational resources. Her approach combines computational analysis, content analysis, and qualitative interviews with Wikipedia editors to develop comprehensive understandings of gender representation in digital knowledge spaces. Her recent publications demonstrate a consistent focus on gender bias in Wikipedia, with particular attention to front page representation, category systems, and editorial decision-making. These works employ mixed-methods approaches combining computational analysis, content analysis, and qualitative interviews with Wikipedia editors. The research spans multiple language editions of Wikipedia, with particular focus on Spanish, English, and Catalan editions, and often involves interdisciplinary collaboration with computer scientists, information scientists, and gender studies scholars. Her work has significantly advanced understanding of how gender biases manifest in digital knowledge systems and has provided evidence-based recommendations for addressing these systemic issues. She has received significant research funding for her work on gender and Wikipedia: Principal Investigator for the HerStory project (Spain's National R&D&I Plan, Ref. PID2023-147673OB-I00) Principal Investigator for the Women and Wikipedia (W&W) project (Spain's National R&D&I Plan, Ref. PID2020-116936RA-I00) Principal Investigator for the Cover Women project (Wikimedia Foundation Research Grants) Participation in European projects including Euryka (H2020-SC6-REV-INEQUAL-2016) and STEM4Youth (H2020-710577) Núria Ferran Ferrer serves as co-director of academic journal BiD and has been actively involved in supervising PhD students, particularly in the context of her research projects on Wikipedia and gender. She has collaborated with international research teams and has conducted research stays at the University of Sheffield (2009) and the University of Tallin (2015). Her work with the Espais Crítics research group (2017 SGR 843 SCG) demonstrates her commitment to critical approaches to information systems. She has also been instrumental in developing practical resources like the "Guia de la Xarxa Vives per a la Incorporació de la perspectiva de gènere a la docència de Ciències de la Informació i la Biblioteconomia" to translate research findings into educational applications. She is a member of the Centre de Recerca Informació, Comunicació i Cultura and has been instrumental in developing collaborative projects between academia and cultural institutions, particularly libraries. Her approach emphasizes the societal impact of research and the importance of translating academic findings into practical applications that promote social change, particularly through her work with the Cover Women and HerStory projects which directly address gender disparities in Wikipedia.
Dr. Horacio Rostro González is an Assistant Professor in the Department of Industrial Engineering at IQS School of Engineering, Ramon Llull University. His research focuses on neural network implementations using field-programmable gate arrays (FPGAs), with applications in robotics, motor imagery systems, and industrial automation. Research Focus: Development of hardware-accelerated AI systems for pattern recognition, robot locomotion control, and human-machine interfaces. Key projects include neuromorphic computing for spatio-temporal classification and AI-driven photonics parameter optimization. Projects: Member of the Industrial Engineering Research Group (GEPI), working on offshore wind farm data analysis using machine learning and renewable energy prediction systems.
Emma Giner Pablo is an Adjunct Professor at IE University ( IE School of Human Sciences & Technology ), specializing in Organizational Architecture and Operational Agility . She holds a Bachelor in Translation and Interpreting from UAB (1996) and an International Management Programme from ESADE & Georgetown University (2011). Her academic roles include teaching in Executive Programmes such as Advanced Management Program and High Impact Leadership , earning Teaching Excellence Awards (2019-2021) . Corporate Career: Over 20 years in fashion giants like Inditex and Mango , holding roles as Global Development Director and International People & Operations Director . Consultancy: Founder of People & Organisation Shaker (since 2016), advising companies like Inditex , L’Oréal , and Coca-Cola on operational innovation and team development. Research Interests: Focuses on intrapreneurial leadership , agile talent management , and organizational culture transformation . She critiques outdated corporate practices, including “corporate psychopathy” and resistance to change. Awards: Three consecutive Teaching Excellence Awards (2019-2021) from IE University, recognizing her impactful pedagogical approach. Labs/Teams: Leads projects under her consultancy, emphasizing Express Projects (3-month max duration) to create sustainable operational solutions. Collaborates with institutions like EDEM in Valencia.
Jorge Fernández-Berni is an Associate Professor at the University of Seville, affiliated with the Institute of Microelectronics of Seville (IMSE-CNM), a joint research center of CSIC and the university. He holds a PhD in Microelectronics (2011, with honors) and has been a faculty member since 2018, following a Juan de la Cierva Research Fellowship (2016–2017). Research Interests: Smart CMOS image sensors Vision chips Embedded systems and hardware-software co-design Distributed smart sensors Deep learning and edge AI Nature and biodiversity monitoring His recent publications reflect a strong trend toward integrating AI with low-power embedded vision systems for ecological applications, particularly in wildlife and environmental monitoring. The work emphasizes efficient, real-time processing on edge devices, focal-plane computation, and system-level optimization for IoT deployment. Topics include high dynamic range imaging, Gaussian pyramid extraction, thermal throttling impact, and performance prediction for deep learning models on embedded platforms. Scientific Awards: Best Paper Award, SPIE Electronic Imaging 2014 Third Prize, Student Paper Award, IEEE CNNA 2010 Winner, 'De Idea a Producto' contest 2022 HiPEAC 2023 Technology Transfer Award Winner, Startup Olé Marbella 2024 Student Pitch Competition Advising and Grants: Dr. Fernández-Berni has served as Principal Investigator (PI) in numerous research and tech transfer projects, including ULTIMATE (smart embedded platform for nature monitoring), SEMIoTICS (intelligent IoT components), and collaborations with SEO/BirdLife on automated bird identification. He has participated in approximately 25 research projects, with funding from national agencies (Ministerio de Ciencia e Innovación, Junta de Andalucía), the European Union (H2020), and the U.S. Office of Naval Research. He has also led the spin-off BiodAIverse (now biotfy), which has received recognition and acceleration support. Labs and Teams: He is a core researcher at the Institute of Microelectronics of Seville (IMSE-CNM), where he contributes to advanced sensor development and participates in the Doctoral Program on Physical Sciences and Technologies. He has collaborated extensively with the research group led by Á. Rodríguez-Vázquez and R. Carmona-Galán, focusing on smart vision systems and embedded processing.
Diego López Pajares is a Lecturer at the Department of Automática within the Universidad de Alcalá, Spain. His research focuses on Software-Defined Networking (SDN), Internet of Things (IoT), edge computing, and AI-driven network optimization. He is a member of the NetIS research group (Networks and Intelligent Systems), which explores programmable networks and intelligent systems for future communication infrastructures. He earned his Doctorate in Engineering from Universidad de Alcalá with a thesis titled Nuevos conmutadores de red para redes integradas con SDN (New SDN-enabled network switches for integrated networks), supervised by Dr. Juan Antonio Carral Pelayo and Dr. Elisa Rojas Sánchez. His work addresses challenges in scalable network protocols, hybrid SDN architectures, and AI applications in telecommunications. Key research trends include edge computing IIoT systems, fault prediction in smart grids, and 6G-enabling technologies. His publications emphasize in-band control protocols, disjoint path algorithms, and P4-programmable switches. Collaborative efforts with industry and academia aim to bridge theoretical advancements with practical network deployments. Notable contributions include the BareFlow protocol for Layer-2 plug-and-play routing, MDTA algorithm for dynamic environments, and eHDDP for heterogeneous network discovery. These innovations address scalability, security, and interoperability in modern network ecosystems. López Pajares' work intersects with military deployable networks, autonomous vehicle traffic systems (SYROPS), and cloud continuum architectures. His research bridges traditional networking domains with emerging paradigms like AIoT and software-defined infrastructures.
Alberto Regadío Carretero is a Lecturer in the Department of Automática at the University of Alcalá, affiliated with the Space Research Group (SRG-UAH). His research focuses on signal processing for particle detection, cosmic ray physics, and the integration of advanced computing techniques like neural networks and IoT technologies into experimental instrumentation. He holds a PhD in Digital Signal Processing applied to particle detection, awarded in 2014. Education: PhD in Digital Signal Processing, University of Alcalá (2014) Thesis: Procesamiento digital de señal aplicado a la detección de partículas energéticas , supervised by Dr. Sebastián Sánchez Prieto and Dr. Jesús Tabero Godino Research Interests: His work bridges particle physics, space technology, and computational methods. Key areas include: Design of radiation detectors and data acquisition systems using FPGAs and IoT Analysis of cosmic ray spectra and atmospheric effects Application of machine learning (e.g., GANs, reservoir computing) to pulse detection and unfolding Hardware optimization for precision signal processing in space and high-energy environments Key Contributions: Recent work includes: Quantum computing approaches for exoplanet discovery Development of neutron monitors and trajectory tracking systems (e.g., MITO) Unfolding techniques for particle spectra using deep learning Awards & Grants: No specific awards or grants are mentioned in the text, but his involvement in projects like ORCA and the Space Research Group suggests active grant-based research. Lab & Team: He is part of the SRG-UAH Space Research Group, collaborating on projects such as the Antarctic Cosmic Ray Observatory (ORCA) and FPGA-based instrument development.
Elisa Rojas Sánchez is a tenured professor at the University of Alcalá, affiliated with the Department of Automation within the School of Telematics Engineering. Her primary research focuses on advanced networking technologies including Software-Defined Networking (SDN), edge computing, IoT integration, and network architecture optimization. She leads the NetIS research group (Networks and Intelligent Systems), exploring innovations in programmable networks and intelligent systems for future communication infrastructures. Her academic background includes a doctoral thesis on high-performance transparent Ethernet switch architectures. She has contributed significantly to protocols like ARP-Path and Torii-HLMAC, advancing scalable routing and fault-tolerant data center designs. Her work bridges theoretical networking research with practical implementations in 6G, industrial IoT, and cloud-edge continuum systems. Recent publications highlight breakthroughs in data-driven protocols (e.g., BareFlow), AI-driven fault prediction in smart grids, and topology-aware resource management in dense networks. She also explores educational innovations like gamification in engineering teaching and hybrid SDN methodologies. Key Research Themes: SDN protocols, edge computing frameworks, IoT scalability, network resilience, AI in networking Notable Achievements: Developed open-source tools like NetIDE, contributed to OpenFlow standards, and pioneered multi-path routing algorithms Her work frequently addresses real-world challenges such as latency reduction in programmable ASICs (Tofino P4), secure in-band control channels, and collaborative resource-sharing in edge environments. She actively participates in international conferences as a program chair and continues advancing the next generation of network architectures.
Elisabet Viladecans-Marsal is a Professor at the Department of Economics, School of Economics, Universitat de Barcelona, and a leading researcher at the Barcelona Institute of Economics (IEB). She directs the IEB's Research Programme ‘Cities’ and the UB Chair on Urban Economics City of Barcelona. She holds research affiliations with CEMFI, CEPR, BSE, and CESifo, reflecting her strong presence in the international economics community. Her research focuses on urban economics , economic geography , and public economics . These areas are central to understanding spatial economic dynamics, regional development, and the role of public policy in urban contexts. She is the recipient of the ICREA Academia award, a prestigious recognition for excellence in research in Catalonia. This award supports her ongoing contributions to economic science. Elisabet Viladecans-Marsal advises research teams and leads major research initiatives related to cities and urban policy. Her work is supported by institutional chairs and collaborative networks across Europe. She is actively engaged in research and academic leadership with no indication of retirement or part-time status.
Alejandro Esteller-Moré is a Professor in the Department of Economics at the Faculty of Economics and Business, University of Barcelona, and a researcher at the Institute of Economic Analysis (IEB). He serves as the Director of the IEB Research Programme on Tax Systems Analysis and holds editorial roles as Executive Co-editor of Hacienda Pública Española/Review of Public Economics , Associate Editor of Journal of Regional Research/Investigaciones Regionales , and Co-Editor of the IEB Reports . His research focuses on Public Economics and Fiscal Federalism , with additional interests in tax systems, regional economic policy, and intergovernmental fiscal relations. His work contributes to understanding the design and impact of fiscal institutions in decentralized economies, particularly within the Spanish and European contexts. He is actively involved in academic leadership and dissemination through the IEB and national research networks, including co-chairing the Spanish Annual Meeting on Public Economics. While specific publications and advisees are not listed, his editorial and program leadership roles indicate a strong ongoing research presence. Executive Co-editor, Hacienda Pública Española/Review of Public Economics Associate Editor, Journal of Regional Research/Investigaciones Regionales Co-Editor, IEB Reports Co-chair, Spanish Annual Meeting on Public Economics He advises research within the IEB’s Tax Systems Analysis programme and contributes to public policy analysis through the IEB’s observatories and reports. There is no indication of grant leadership in the provided text, but his role as programme director suggests involvement in coordinated research projects. Alejandro Esteller-Moré is based at the Universitat de Barcelona, where he conducts research and contributes to the academic community through teaching, editorial work, and programme coordination. He is not affiliated with any specific lab, but his work is centered at the Institute of Economic Analysis (IEB), a key research hub in public economics in Spain.
María B. Juárez Escribano is an Assistant Professor at Nebrija University within the School of Language and Education and the Department of Didactics and School Organization . She is an active member of the CE-Ed Nebrija Research Group on Quality and Equity in Education and was formerly associated with the CEDI Research Group on Cognition, Education and Individual Differences. She also serves as student coordinator for the university’s Master’s programme in ICT for Education and Digital Learning. María earned her PhD in 2014 from Universidad Camilo José Cela with the thesis "Virtual social networks as mass media: self-perception and user behaviour" , supervised by Dr. Emilio Velasco Bartolomé. She holds double bachelor’s degrees in Audiovisual Communication and Environmental Sciences , complemented by two master’s degrees and several micro-master’s programmes in digital learning and e-learning. Her research interests lie at the intersection of digital education , virtual identity , and user behaviour in networked environments . She explores how gamification , ICT integration , and virtual culture can enhance learning experiences and promote equity in education. Recent work investigates the spread of fake news and post-truth phenomena in virtual communities. Across her publications (2018-2023) María has consistently examined virtual identity construction , gamified instructional design , digital competence , and technology-mediated pedagogies . The trajectory shows an evolution from foundational analyses of social networks as mass media to sophisticated instructional models tailored for digital learning environments. Scientific Recognition Docentia Award for Teaching Excellence – Nebrija University (2020) Teaching & International Collaboration María has accumulated sixteen years of professional experience split between news production and higher-education teaching. She has taught at institutions such as EAE (Educational Education Institute of Madrid) and served as Visiting Professor at the University of Zadar, Croatia under an Erasmus+ mobility grant. At Nebrija she coordinates master’s students and actively participates in national and international conferences to disseminate her research.
Rosa Mª Torres Valdés is Associate Professor (Profesor/a Titular de Universidad) in the Department of Communication and Social Psychology at the University of Alicante , Spain. She is an active member of the IU Gender Studies Research and the IU of Latin American Social Studies Research , where she also serves as Secretary. Education: PhD in Public Relations and Advertising, Autonomous University of Barcelona (2008) Master in Biotechnology and Biomedicine (specialty Biological & Health Anthropology), University of Alicante (2011) Postgraduate Certificate in Social Responsibility, United Nations Programme & REDUNIRSE Network (2011) Diploma of Advanced Studies in Audiovisual Communication & Advertising, Autonomous University of Barcelona (2004) Degree in Advertising & Public Relations, San Martín de Porres University (Peru) – homologated (2001) Research & Professional Focus: Rosa Mª Torres Valdés conducts interdisciplinary research at the intersection of communication, public relations and advertising , with a strong emphasis on gender perspectives, social responsibility, ageing and intercultural communication . Her work delves into experiential marketing, corporate communication strategies, and the role of communication in social innovation and inclusion. She combines academic inquiry with extensive consultancy practice, ensuring her research is grounded in real-world applications. She has led and collaborated on projects that explore how communication shapes public perceptions of social issues, the ethical dimensions of advertising, and the design of inclusive campaigns targeting diverse audiences. Her expertise further extends to organisational communication, conflict mediation and the development of socially responsible corporate strategies. Scientific Awards & Fellowships: No specific awards, prizes or fellowships are listed in the provided sources. Advising & Grants: While no individual student names are reported, Rosa Mª Torres Valdés has an extensive teaching record at undergraduate, master’s and doctoral levels (mentioned in her consultancy roles at the Mediterranean Institute of Protocol and the School of Public Relations). External consultancy contracts and university service roles indicate active grant and project management experience, although details of specific funded projects are not provided. Laboratories & Teams: She participates in two research groups: Experiential Marketing and Integrated Communication (MAE-CO) and Ageing and Communication (AgeCOM) , both of which foster collaborative research within the University of Alicante and with external partners across Europe and Latin America.
Paula Rodríguez-Modroño is a Senior Lecturer in Economics at Pablo de Olavide University, where she serves as Director of the Interdisciplinary Centre of Feminist, Women's, and Gender Studies (CINEF) and the Master Programme in Gender and Equality. She leads the CAREFEM research project (2024-2027) on platformization of healthcare ecosystems and continues the GENDER4REV project (2020-2024) examining digitalization's impact on gender inequalities. Education: PhD in Economics (University of Seville), MPhil in Development Studies (University of Cambridge), Postgraduate Diploma in Development Economics (University of Essex), BSc in Business & Management (University of Maryland) Her research integrates feminist economics with institutional analysis, focusing on gender inequalities in labor markets, care work dynamics, social reproduction, and digital economy impacts. She examines how technological transformations and austerity policies exacerbate gender disparities in employment, well-being, and economic participation. Recent publications analyze digital care platforms, gender budgeting mechanisms, and intersectional inequalities in remote work systems. Her work spans feminist economic theory, social reproduction studies, and policy evaluation, with empirical focus on Spain, Latin America, and European comparative frameworks. Scientific Awards: Seville Town Council Prize 2020 Meridiana Prize 2017 X Prize 2012 She directs multiple academic initiatives including the Gender Observatory on Economics, Politics & Development (gep&DO) and the international research group 'Gender, work, care and technological development' within the Spanish Labour History Network. Her leadership extends to the Spanish Association for Radical Political Economy (AEC) and the European Labour History Network's working groups.
Maria Luz Guenaga Gomez is a Researcher at the University of Deusto's Faculty of Engineering within the Department of Computing, Electronics and Communication Technologies. Her work centers on computational thinking, learning analytics, and STEM education with a strong focus on gender equity and accessibility. Her research interests include computational thinking development, learning analytics applications in education, STEM mentoring programs, and accessibility in educational technology. She investigates how creativity interacts with computational skills and develops assessment frameworks for educational interventions. Her work frequently employs data-driven methodologies including clickstream analysis and remote laboratory implementations. Her publication trends reveal a sustained focus on computational thinking assessment (2017-2022), with increasing emphasis on gender-inclusive STEM education after 2020. The research spans educational psychology, computer science, and engineering education, demonstrating interdisciplinary collaboration across European institutions. She has supervised multiple PhD candidates including Andoni Eguíluz Morán, Iratxe Menchaca Sierra, and Cristian Olivares-Rodríguez. Her projects include Inspira STEAM (promoting female role models in STEM), SNOLA (Spanish Network of Learning Analytics), and Trastea.club (computational thinking development). She actively participates in learning analytics and educational technology communities through conferences like LAK, TEEM, and IEEE EDUCON, contributing to the development of assessment frameworks and remote laboratory implementations.
