Find Academic Supervisors

• Criminal Law
• Criminology
• Cybercrime
• +7 more

Dr. Steven Kemp is a Senior Lecturer in the Department of Public Law at the University of Girona, Spain. His research focuses on the intersection of criminal law, cybercrime, and criminological analysis, with affiliations to institutions like UNICRI, Open University of Catalonia, and the Institute of Public Security of Catalonia. His work spans digital security, fraud victimization, and sentencing disparities. Current roles: Serra Hunter Fellow, University of Girona (2023–present); Collaborating Teacher, UNICRI (2024–present) Previous roles: Associate Professor, University of Girona (2015–2021); Postdoctoral Researcher, Pompeu Fabra University (2021–2023) and University of Manchester (2021) His research interests include: Cybercrime dynamics during global crises (e.g., pandemic-related fraud trends) Victimization patterns in digital societies, particularly among older adults Legal implications of smart technologies and cybersecurity frameworks Comparative criminal justice systems, especially plea bargaining and sentencing disparities Key trends in his recent publications (2025–2019) highlight: Rising cyberfraud incidents and their societal impacts Interdisciplinary approaches to digital security and legal systems Statistical modeling of crime trends post-COVID-19 Behavioral responses to cybercrime risks Scientific recognition includes: Serra Hunter Fellow He actively collaborates with research groups like the Research Group in the Seminar of Criminal and Criminological Sciences and contributes to public policy initiatives in cybersecurity and fraud prevention.

• Cloud Computing
• Green Computing
• High-Performance Computing
• +7 more

Jordi Guitart Fernández is a Professor at the Department of Computer Architecture, Barcelona School of Informatics (FIB), Universitat Politècnica de Catalunya (UPC). He is also affiliated with the Barcelona Supercomputing Center (BSC-CNS), a leading national supercomputing facility. He leads the CROMAI research group, focusing on Computing Resources Orchestration and Management for AI. His work bridges high-performance computing, cloud systems, and artificial intelligence. Research Interests: Cloud Computing and Edge Computing Green and Energy-Efficient Computing Containerization and Virtualization for HPC Resource Orchestration and Management Autonomic and Self-Adaptive Systems Machine Learning Workflow Management AI-Driven System Optimization His recent publications reveal a strong focus on intelligent management of computing resources across cloud, edge, and HPC environments using machine learning and agent-based frameworks. He investigates performance, efficiency, and reliability in containerized AI and HPC workloads, particularly within Kubernetes and distributed infrastructures. His work increasingly integrates human-in-the-loop and trustworthiness aspects into AI systems. Scientific Awards: CLOUD Conference 2025 Best Paper Award VISIGRAPP 2025 Best Student Paper Award Premi Extraordinari de Doctorat 2025 - Àmbit d'Enginyeria de les TIC Test of Time Award Honorable Mention (e-Energy) Reconeixement als Mèrits Docents d'Especial Qualitat Top reviewers for Polytechnic University of Catalonia (Computer Science) - September 2017 Advising and Grants: He has advised doctoral students, including Peini Liu. He leads and participates in numerous competitive R+D+i projects, such as CROMAI and DALEST, funded by national and European programs like HORIZON 2020 and the Spanish State Research Plans. His work is supported by grants focused on knowledge generation and industrial leadership in computing technologies. Labs and Teams: He is the leader of the CROMAI - Computing Resources Orchestration and Management for AI research group at UPC. He also collaborates closely with the Barcelona Supercomputing Center (BSC-CNS), contributing to large-scale computing initiatives and strategic research agendas in Europe.

Pablo AragónView profile

Adjunct Professor

• Computational Social Science
• Social Computing
• Wikipedia Studies
• +4 more

Pablo Aragón is a Research Scientist at the Wikimedia Foundation and an Adjunct Professor at Universitat Pompeu Fabra. His work bridges computational social science, civic technology, and technopolitics, with a focus on Wikipedia's governance, digital democracy tools, and participatory systems. He co-founded the Democratic Innovation Lab in Barcelona and the DatAnalysis15M research network. Key research interests include analyzing knowledge integrity in Wikipedia, configuring digital participatory budgeting systems, and studying platform effects in civic technologies. He has led projects like DECODE (decentralized citizen engagement) and contributed to platforms like Decidim, which empower participatory democracy in cities like Barcelona. Recent conference engagements include KDD 2024 (data mining), ICWSM 2024 (social media analysis), and Wikimedia CEE Meeting 2024. His work emphasizes cross-cultural collaboration, with studies published in ACM Transactions on Computer-Human Interaction and peer-reviewed conferences like CIKM and ACM SIGKDD. Professional affiliations include the Decidim association, Amnistía Internacional España, and the open knowledge advocacy group Civio. His research often intersects with open science, free culture movements, and gender equity in urban mobility.

Sonia VanierView profile

Professor

• Artificial Intelligence
• Operations Research
• Network Optimization
• +4 more

Sonia Vanier is a Professor in the Department of Computer Science at École Polytechnique, where she holds multiple leadership positions: Head of the 'Trusted and Responsible AI' Chair (X/Crédit Agricole), Head of the 'Optimization and AI for Mobility' Chair (X/SNCF), Head of 3A, and Scientific Manager of Industrial Relations for both the Department and the Computer Science Laboratory (LIX). She coordinates the GdT OR (Network Optimization) working group and leads the REST (Energy, Services and Transport Networks) research axis of the CNRS GDROD, while serving on its scientific council. Her research develops decision support tools for complex industrial problems through hybrid approaches combining Artificial Intelligence and Operations Research , with focus areas including Network Optimization, ethical AI systems, sustainable computing, and trustworthy AI frameworks. Her work bridges theoretical foundations with applications in telecommunications, transportation, and cybersecurity. Publications demonstrate strong emphasis on optimization techniques (branch-and-price, cutting planes) applied to wireless networks, AI safety, and security challenges. Recent works explore LLM memorization, signomial programming, and multi-commodity flow problems, showing consistent integration of OR with machine learning for industrial-scale problems. Awards: Research Award and Innovation Award, Telecom Valley Association ALOES Orange Innovation Project She leads major industrial-academic partnerships through the Crédit Agricole and SNCF chairs, managing research grants focused on responsible AI deployment and mobility optimization. As Scientific Manager of Industrial Relations, she oversees industry collaborations for LIX laboratory. Affiliated with the Computer Science Laboratory (LIX), she directs the 3A research group and contributes to national initiatives through CNRS GDROD, coordinating research in network optimization and sustainable systems.

• Quantum Safe Cryptography
• Threat Management
• Artificial Intelligence Security
• +5 more

Dr. Marc Ph. Stoecklin is a Principal Research Staff Member and head of the Security Research Department at IBM Research Europe in Zurich, Switzerland. He co-leads IBM's global research strategy on Quantum Safe Cryptography and Migration, focusing on cryptographic artifact identification and migration implementation. Previously, he directed Threat Management research, applying AI and automation to threat detection, investigation, and response. Education: PhD in Computer, Communication and Information Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland His research spans quantum safe cryptography, threat management, AI security, threat detection, identity management, cyber deception, big data analytics, and security visualization. He pioneered AI-powered security operations, contributing to Watson for Cyber Security and QRadar Advisor with Watson, and analyzes AI/quantum computing misuse in cyber attacks. His 2016-2020 publications emphasize advanced threat detection, malware analysis, and AI security, featuring evasive malware deactivation, threat intelligence computing, and neural network watermarking. These works bridge research and product development, directly influencing IBM security offerings. Dr. Stoecklin led IBM's Cognitive Cyber Security Intelligence group (2014-2019) and the Security Research Department since 2019. As tech lead for IBM's COVID-19 task force (2020-2022), he developed IBM Digital Health Pass, deployed in New York's Excelsior Pass with over 1 million passes issued in two months. He heads the Security Research Department at IBM Research Europe in Zurich and has been integral to the Global Security Analysis Lab (GSAL) and Cognitive Cyber Security Intelligence (CCSI) group at IBM T.J. Watson Research Center.

Marc Sánchez ArtigasView profile

Associate Professor

• Distributed Computing
• Cloud Computing
• Big Data
• +6 more

Marc Sánchez Artigas is an Associate Professor at Rovira i Virgili University, Department of Computer Engineering and Mathematics. He holds a PhD from Pompeu Fabra University (2009) and conducted postdoctoral research at EPFL (Switzerland). His research focuses on distributed computing, cloud storage systems, and serverless architectures. He leads the CloudLab research group and coordinates major EU projects like Horizon Europe's CloudSkin and H2020's IOStack. Education: PhD in Computer Science (2009), Pompeu Fabra University MSc in Computer Engineering (2004), Universitat Rovira i Virgili BSc in Computer Engineering (2002), Universitat Rovira i Virgili Research Interests: Distributed systems, cloud computing, software-defined storage, serverless computing, and privacy-preserving storage solutions. His work emphasizes scalable architectures, data management in heterogeneous environments, and optimizing cloud storage efficiency through novel algorithms and frameworks. Awards: Best Paper (IEEE LCN 2007), Best Dataset (ACM IMC 2015), Serra-Hunter Excellence Professorship, and multiple grants from EU and Spanish funding bodies. Grants & Projects: Coordinated over €5 million in projects including H2020 CloudButton (serverless analytics), FP7 CloudSpaces (personal clouds), and national initiatives like Software-Defined Edge Clouds. Active in coordinating IPCEI-CIS for cloud infrastructure. Teaching: Courses on distributed systems, parallel architectures, and cloud computing. Taught at Universitat Rovira i Virgili and Universitat Oberta de Catalunya.

• Experimental Economics
• Behavioral Economics
• Neuro-Economics
• +7 more

Rosemarie Nagel is an ICREA Research Professor in the Department of Economics at Universitat Pompeu Fabra (UPF). She holds a PhD from the University of Bonn (1994) under Reinhard Selten. Her research bridges economic theory with behavioral insights, focusing on experimental economics, neuroeconomics, and game theory. She has pioneered the level-k reasoning model in Keynesian beauty-contest experiments and explored bounded rationality through lab and neuroscientific methods. Her work spans macroeconomic experiments, industrial organization, and strategic behavior analysis. She has been a full professor at UPF since 2006 and joined ICREA in 2007. Education: PhD in Economics, University of Bonn, 1994 (Advisor: Reinhard Selten) Postdoctoral work with Al Roth at University of Pittsburgh, 1994-1995 Research Interests: Experimental Economics (macro and micro), Neuro-Economics, Geno-Economics, Game Theory, Industrial Organization, Negotiation. Her methods integrate cognitive models, laboratory experiments, and neuroscience tools to study human decision-making. Key Contributions: Her work on strategic uncertainty in coordination games and neural correlates of strategic thinking has been published in top journals like American Economic Review , Econometrica , and Review of Economic Studies . She co-organizes macroeconomics and computational economics workshops. Professional Activities: Editor for Games and Economic Behavior , frequent speaker at international conferences, and advisor to policy institutions. Her lab focuses on experimental design and neuroeconomic applications.

Sara Nieves Matheu GarciaView profile

Assistant Professor

• Cybersecurity
• IoT Security
• Information Security
• +3 more

Sara Nieves Matheu García is an Assistant Professor at the Department of Information and Communication Engineering within the Faculty of Informatics at the University of Murcia. Her research focuses on cybersecurity, IoT security, and trust frameworks in smart systems. She holds a Ph.D. from the University of Murcia, completed in 2020, where her thesis addressed methodologies for IoT device security evaluation under the supervision of Dr. José Luis Hernández Ramos and Dr. Antonio Skarmeta Gómez. Her research group, Intelligent Systems and Telematics, explores innovative solutions for IoT security lifecycle management, blockchain-based certification systems, and risk-based evaluation methodologies. Notable contributions include the CERTIFY framework for IoT lifecycle security and the BIECO framework for ICT ecosystems. Her work emphasizes practical applications in smart grids, smart cities, and healthcare systems. Recent publications highlight advancements in federated cyberattack detection, MUD standard integration, and liability management in 5G architectures. While no specific awards or grants are listed, her extensive scholarly output reflects active engagement with cybersecurity challenges in IoT and critical infrastructure. Her academic contributions span theoretical frameworks, testing methodologies, and collaborative tools for enhancing IoT security. The research group collaborates across disciplines to address real-world cybersecurity threats in dynamic network environments.

Alysson Neves BessaniView profile

Associate Professor

• Distributed Systems
• Dependability
• Fault Tolerance
• +5 more

Alysson Neves Bessani is an Associate Professor at the Informatics Department of Faculdade de Ciências da Universidade de Lisboa, Portugal, and a member of the LaSIGE research group. His work focuses on distributed systems, Byzantine fault tolerance, and cybersecurity, with significant contributions to blockchain consensus and intrusion-tolerant architectures. Academic Rank: Associate Professor University: Universidade de Lisboa School: Faculdade de Ciências Department: Informatics Department Research Groups: LaSIGE, Navigators Research Interests span distributed systems design, Byzantine fault tolerance, adaptive consensus protocols, and secure multi-cloud storage. His work bridges theoretical foundations with practical implementations like the BFT-SMaRt library and the Vawlt startup. Scientific Awards include multiple Test-of-Time Awards (DSN'24, DSN'21), IBM Faculty Award (2017), and Best Student Paper at Middleware'19. He has advised numerous PhD and Master’s students, contributing to advancements in fault-tolerant systems. Publications (15 most recent) reveal trends in Byzantine consensus optimization, blockchain integration, and AI-driven threat detection. His interdisciplinary work combines distributed computing with genomics and IoT security, reflecting a broad impact across computer science.

Carlos CastilloView profile

Research Professor

• Algorithmic Fairness
• Social Computing
• Artificial Intelligence Ethics
• +3 more

Carlos Castillo is an ICREA Research Professor at Universitat Pompeu Fabra, leading the Social and Responsible Computing Research Group. Their work focuses on algorithmic fairness, social computing, and mitigating bias in AI systems across criminal justice, education, healthcare, and hiring. Key projects include the Horizon Europe FINDHR initiative to detect discrimination in algorithmic hiring, causal inference studies on recidivism risk prediction, and analyzing gender biases in student evaluations. Research Interests: Algorithmic fairness, bias mitigation in AI systems, social data ethics, criminal justice analytics, education technology, and health informatics. Notable contributions include the FA*IR fair ranking algorithm and foundational work on auditing algorithms in digital health. Recent Trends in Articles: Recent work emphasizes interdisciplinary applications of algorithmic fairness—e.g., improving representativeness in hiring datasets, analyzing disparities in medical AI models, and addressing bias in student satisfaction surveys. Publications also explore radicalization pathways via recommendation systems and the societal impact of algorithmic decision-making. Awards: Best Paper Awards in CIKM 2022 (Francesco Fabbri), ICAIL 2019 (Marius Miron), and ISCRAM 2013 (Muhammad Imran). Grants: Leads the Horizon Europe FINDHR project and collaborates with the European Commission on algorithmic discrimination research. Labs/Teams: Directs the Social and Responsible Computing Group, focusing on interdisciplinary projects with PhD students and industry partnerships.

• Machine Learning
• Cybersecurity
• IoT
• +3 more

Pedro Miguel Sanchez Sanchez is a researcher affiliated with the University of Murcia , specializing in Machine Learning , Cybersecurity , and IoT . He earned his doctorate in 2024 with the thesis Identical IoT device identification via hardware performance fingerprinting and Machine Learning , supervised by Dr. Alberto Huertas Celdrán and Dr. Gregorio Martínez Pérez. Research Interests Pedro's work focuses on applying Machine Learning and Federated Learning to solve critical challenges in Cybersecurity and IoT environments. His research includes: Developing decentralized federated learning frameworks (e.g., Flighter, ProFe) for secure and efficient model training. Designing malware detection systems using system call data and large language models . Enhancing IoT device authentication via hardware fingerprinting techniques. Exploring moving target defense strategies to counter zero-day attacks on IoT networks. Building knowledge graphs for cyber defense applications. Recent Publications Pedro's 2025–2024 publications demonstrate a strong focus on decentralized federated learning , malware mitigation , and hardware-based security . Key trends include: Advancements in zero-shot learning for multilingual tasks on edge devices. Security frameworks (e.g., Cyberforce, Sentinel) for military reconnaissance and industrial IoT . Behavioral analysis techniques for ransomware detection and continuous authentication . Robustness studies on federated learning architectures under adversarial conditions. Creation of benchmarks like LwHBench for hardware performance evaluation. Collaborations He has collaborated with researchers in the Intelligent Systems and Telematics group, contributing to projects in 5G security , crowdsensing platforms , and trusted execution environments .

• Numerical Methods
• Partial Differential Equations
• Computational Mathematics
• +3 more

Francisco Manuel Bernal Martínez is an Associate Professor in the Department of Mathematics at Carlos III University of Madrid. His research focuses on numerical methods, partial differential equations, and computational mathematics, with applications in industrial engineering and materials science. He leads projects such as 'Financiación adicional 5º año (2022)' and collaborates on initiatives like 'Clustering Automático de Comportamientos de Invertebrados en Libertad mediante Imagen 3D.' His work emphasizes domain decomposition algorithms, radial basis functions, and stochastic control problems. He has advised at least one PhD thesis and holds grants from regional and national funding bodies. Key research interests include meshless methods, probabilistic domain decomposition, and uncertainty quantification in energy systems. Recent publications highlight advancements in hybrid algorithms for large-scale PDEs and volatility modeling. Bernal Martínez actively participates in academic networks and has presented at international conferences on computational methods and industrial mathematics.

Angel Santamaria NavarroView profile

Associate Professor

• Mobile Robotics
• Autonomous Systems
• Human-Robot Interaction
• +3 more

Angel Santamaria-Navarro serves as Associate Professor at Polytechnic University of Catalonia (UPC) and Robotics Researcher at the Institute of Robotics and Industrial Informatics (IRI), a CSIC-UPC joint center in Barcelona. His work bridges academic research and real-world deployment in mobile robotics, with current leadership in European TRIFFID (autonomous first-responder systems) and national LENA (lifelong navigation learning) projects spanning urban logistics and emergency response applications. His research centers on Mobile Robotics and Autonomous Systems with emphasis on human-robot collaboration in unstructured environments . Key focus areas include robot navigation in crowded urban settings, manipulation of deformable objects, and deployment of delivery systems like the LogiSmile project piloted across European cities. His work uniquely integrates machine learning with field robotics to solve practical challenges in last-mile logistics and disaster response. Recent publications (2022-2025) reveal a concentrated shift toward real-world robotic deployment , particularly in emergency response (TRIFFID) and urban logistics. Dominant themes include communication-aware multi-robot coordination, probabilistic perception for dynamic environments, and human acceptance studies – reflecting his commitment to transitioning lab innovations to operational field systems through Horizon Europe and national projects. Key recognitions include: 1st place at DARPA Subterranean Challenge, urban circuit (2020) 2nd place at DARPA Subterranean Challenge, tunnel circuit (2019) Beatriu de Pinós research fellowship (2021) Georges Giralt PhD award finalist (2018) R3 accreditation as consolidated researcher (2023) He actively mentors next-generation researchers as supervisor of PhD candidate Hafsa Taher (deep learning for autonomous vehicles) and Master's student Joan Tur Ruiz (object pose tracking). His research portfolio includes €5M+ in competitive funding spanning Horizon Europe projects (TRIFFID, TORNADO), national initiatives (LENA, AUDEL), and industry partnerships like the Vaive Logistics spin-off co-founded in 2023. As core member of UPC's robotics team, he contributed to the NeBula framework that won DARPA's Subterranean Challenge and currently leads development of TRIFFID's autonomous first-responder systems. His work with the LogiSmile consortium demonstrates practical urban deployment of delivery robots across Barcelona, Lisbon, and Milan, while the SOCIAL PIA project pioneers cybernetic avatars for cooperative human-robot teams.

• Artificial Intelligence
• Privacy preservation
• Trust models
• +1 more

Javier Ignacio Carbo Rubiera is an Associate Professor in Computer Science and Engineering at Universidad Carlos III de Madrid, affiliated with the Applied Artificial Intelligence Group. His research explores privacy-aware intelligent systems, trust modeling, and multi-agent coordination. Recent work focuses on developing EU law-compliant privacy frameworks for transportation systems and emergency response coordination. His publications demonstrate innovative approaches to decentralized service aggregation in trust-based networks.

Pablo Serrano Yáñez-MingotView profile

Associate Professor

• Wireless Networks
• Network Protocols
• 5G/6G Communication Systems
• +3 more

Pablo Serrano Yáñez-Mingot is an Associate Professor at the Telematics Department of Universidad Carlos III de Madrid (UC3M), where he has been since 2002. He holds a Telecommunication Engineering degree and PhD from UC3M (2002 and 2006, respectively). Currently, he serves as Deputy Director of Infrastructure, Sustainability, and Digitalization at the Higher Polytechnic School (EPS). His research focuses on wireless networks, network protocols, and experimental performance evaluation, with over 100 peer-reviewed publications in top journals/conferences like IEEE/ACM Transactions on Networking and IEEE INFOCOM. He has led major projects such as the Hexa-X 6G flagship and Flex5Gware. He is an IEEE Senior Member and has received awards like the UC3M Excellence Award (2021) and Distinguished Member of the INFOCOM TPC (2022). Education: Telecommunication Engineering (UC3M, 2002), PhD in Telematics (UC3M, 2006). Research Interests: Wireless networks, 5G/6G systems, network protocols, energy efficiency, and experimental evaluation of communication systems. Recent Articles Trends : Focus on 5G/6G architectures, network automation, serverless computing, and energy-efficient solutions. Publications highlight advancements in NFV scaling, network slicing, and AI-driven orchestration. Awards : UC3M Excellence Award 2021 (Young Research Excellence) ACM WiNTECH 2016 Best Paper Award Elevated to IEEE Senior Member (2015) Advising & Grants : Supervised over 30 PhD/MSc students. Principal Investigator of projects like AMAZING-6G and iTrust6G. Actively involved in editorial and organizational roles in IEEE conferences (e.g., INFOCOM, WCNC). Labs & Teams : Leads research groups in network protocols, 5G/6G systems, and experimental evaluation. Collaborates with institutions like the University of Rome Tor Vergata and Trinity College Dublin through visiting positions.