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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.

• IoT Security
• Network Measurement
• Privacy Engineering
• +3 more

Dr. Anna Maria Mandalari is an Assistant Professor at University College London (UCL), affiliated with the Electronic and Electrical Engineering Department. She serves as Director of the SafeNetIoT laboratory and the Internet Engineering/Telecommunications MSc/MRes Programme at UCL. She holds an Honorary Research Fellow position at the Institute for Security Science and Technology at Imperial College London. Her research focuses on IoT security, privacy engineering, and network measurement techniques, particularly analyzing information exposure from consumer devices and developing adaptive network security strategies. Her work has led to significant contributions such as the IMC'19 Community Contribution Award-winning study on multidimensional IoT device exposure and the Telekom Challenge-winning IoTrim prototype for blocking non-essential IoT traffic. She has secured funding through InnovateUK’s CyberASAP program and participated in high-impact projects like NATwatcher and the European roaming analysis initiative. Key Awards: Community Contribution Award (IMC'19), Best Paper Award (C2B(I)D 2015) Grants: InnovateUK CyberASAP Phase 2 funding, Telekom Challenge Development Stream Top 5 prize Labs/Teams: Director of SafeNetIoT Lab, Leading M2M and IoT security teams at UCL Her recent work addresses IoT device misactivation risks (e.g., smart speakers), scalable detection of IoT devices in the wild, and protocol design informed by crowdsourced data. She actively collaborates with industry partners like Telekom and academic institutions on network infrastructure security and performance optimization.

• Operational Risk
• Financial Economics
• Risk Management
• +7 more

Enrique Jose Jimenez Rodriguez is an Associate Professor in the Department of Financial Economics and Accounting at Universidad Pablo de Olavide . He is affiliated with the research group GIFEM (Corporate and Market Finance) and contributes to the Doctoral Programs in Management Control and Finance . His academic work focuses on operational risk, financial economics, and risk management, with publications spanning from 2002 to 2022. Education : PhD in Financial Economics (2008) from Universidad Pablo de Olavide, supervised by Dr. José Luis Martín Marín and Dr. María Dolores Oliver Alfonso. Jimenez Rodriguez's research interests include: Operational Risk Modeling Basel Accords Compliance Cryptocurrency Volatility Lean Manufacturing in SMEs Healthcare Risk Assessment Behavioral Economics in E-commerce His publications demonstrate a strong emphasis on risk analytics, financial regulation, and interdisciplinary applications of statistical and machine learning techniques. His recent work includes forecasting cryptocurrency volatility using machine learning (2022), analyzing operational risk over-dispersion (2015), and foundational studies on financial risk frameworks under Basel accords.

Ramon CanalView profile

Professor

• Secure microarchitectures
• System reliability
• Virtualization and operating systems
• +5 more

Ramon Canal is a Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Barcelona School of Informatics and the Computer Architecture Department. He has served as Vice Dean of postgraduate studies and leads the VirtuOS (Virtualization and Operating Systems) research group. His academic background includes BSc, MSc, and PhD from UPC, with thesis supervision by Antonio González (UPC) and James E. Smith (University of Wisconsin-Madison). He completed sabbaticals at Harvard University (2006-2007) and University of Cyprus (2019-2020). Education: PhD, MSc, BSc in Computer Engineering (UPC) Research focus: Microarchitecture security, reliability across circuit/system levels, cloud optimization Recent publications address privacy in IoT, secure hardware accelerators, and safety-critical systems. His work contributes to the DRAC project (2019-2022), Red-RISCV network, and Horizon's Vitamin-V project. Awards include HiPEAC Paper Awards, IEEE Senior Member status, Fulbright recognition, and multiple education excellence accolades. Scientific Honors HiPEAC Paper Award (ISCA-44, 2017) IEEE Senior Member (2016) Best Paper Nominee (ICCD-32, 2014) UPC Outstanding PhD Award supervision (2011) He advises current MSc students and has mentored multiple PhD graduates. Professional activities span academic leadership, research collaborations with Barcelona Supercomputing Center (BSC), and technical contributions to reliability analysis frameworks like RECIPE and FRACTAL.

• Artificial Intelligence
• Machine Learning
• Distributed Learning
• +7 more

Berta María Guijarro Berdiñas is a Researcher in the Department of Computer Science and Artificial Intelligence at the University of A Coruña , Spain. She is affiliated with the Laboratory for Research and Development in Artificial Intelligence and teaches courses like Machine Learning , Development of Intelligent Systems , and Programming at both undergraduate and postgraduate levels. Research Focus: Her work lies at the intersection of Artificial Intelligence , Machine Learning , and Knowledge-Based Systems . Key contributions include frugal learning (limited data), anomaly explanation , and distributed learning for edge devices. She applies these to areas like health informatics , forest fire management , and human-robot interaction . Recent Publications span explainable AI , anomaly detection , multi-agent systems , and low-power machine learning . Her articles appear in top venues like Expert Systems with Applications and IEEE Transactions on Neural Networks and Learning Systems . Grants & Projects include EU-funded initiatives, Spanish Ministry of Science grants, and regional collaborations. She focuses on AI for healthcare , smart systems , and distributed learning .

• Quantum Optics
• Quantum Information Science
• Quantum Imaging
• +3 more

Prof. Juan P. Torres is a Professor at ICFO (Institut de Ciències Fotòniques) leading the Quantum Engineering of Light research group. His work focuses on generating and tailoring novel forms of classical and quantum light for fundamental quantum theory exploration and applications in secure communications, high-resolution imaging, and precision probing. His research centers on quantum optics and photonics with specialized expertise in spatial and frequency engineering of photons. He pioneers techniques for tailoring spatial entanglement through spontaneous parametric down-conversion schemes, enabling the generation of qudits with on-demand properties. His group actively develops quantum imaging methods using undetected light and explores high-dimensional quantum information processing. Analysis of his recent publications reveals dominant trends in quantum imaging with undetected photons, high-dimensional quantum teleportation, and decoherence-assisted quantum key distribution. His work consistently bridges theoretical quantum mechanics with practical implementations in optical coherence tomography and quantum communication protocols, emphasizing spatial mode manipulation. Prof. Torres maintains active international collaborations with leading researchers including Prof. Bahaa Saleh (CREOL), Prof. Malvin Teich (Boston University), Dr. Fabio Sciarrino (University of Rome), Prof. J. H. Eberly (University of Rochester), and Dr. Alfred U'Ren (UNAM). His laboratory features two fully equipped optical facilities with four optical tables, multiple laser systems across wavelengths, single-photon detectors, nonlinear crystals, and advanced spectroscopy equipment for quantum light generation and characterization.

Juan CaballeroView profile

Research Professor

• Computer Security
• Systems Security
• Software Security
• +4 more

Juan Caballero is an Associate Research Professor at the IMDEA Software Institute in Madrid, Spain. He holds a Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University, USA, along with a M.Sc. from KTH Royal Institute of Technology (Sweden) and a Telecommunications Engineering degree from Universidad Politécnica de Madrid (UPM, Spain). His research focuses on computer security, including systems, software, and network security, with a particular emphasis on program analysis techniques for malware analysis and defense mechanisms. He also explores applications of machine learning in security and the economic aspects of cybercrime. His academic career includes roles such as TPC chair for ACSAC 2018 and DIMVA 2016, and he has contributed to numerous conferences and workshops. His work spans malware lineage analysis, TLS deployment studies, and the development of tools like AVClass for malware labeling. Caballero has been recognized with prestigious awards, including the La Caixa Fellowship (2003) and Outstanding Paper Awards at Usenix Security 2011 and the Best Paper Award at USENIX Security 2007. His research interests are further detailed in publications covering topics like malware distribution, cryptographic key analysis, and network security. Caballero’s contributions to the field include foundational work in protocol reverse-engineering, binary code analysis, and proactive detection of malicious infrastructure.

Jorge Bernal BernabeView profile

Associate Professor

• Cybersecurity
• Internet of Things (IoT) Security
• Network Security
• +7 more

Jorge Bernal Bernabe is an Associate Professor at the University of Murcia , affiliated with the Faculty of Informatics and the Department of Information and Communication Engineering . He holds a PhD in Computer Science from the University of Murcia (2015), focusing on 'Authorization and Trust Management in Distributed Systems Based on the Semantic Web.' His research group, Intelligent Systems and Telematics , explores cutting-edge cybersecurity solutions for IoT, 5G/6G networks, and privacy-preserving technologies. He is a key contributor to frameworks like OLYMPUS (privacy-aware identity management) and ARIES (European identity ecosystem). Education : PhD in Computer Science, University of Murcia (2015) Research Interests : His work centers on securing next-generation networks (e.g., 5G/6G), IoT privacy, federated learning applications for intrusion detection, blockchain-based identity systems, and policy-driven security enforcement. He emphasizes privacy-by-design principles and explores challenges in digital sovereignty and decentralized governance. Notable Projects : OLYMPUS: Oblivious identity management system ARIES: Pan-European identity framework ANASTACIA: Security agents for CPS/IoT INSPIRE-5Gplus: Cognitive security for 5G networks Labs/Teams : Active in the Intelligent Systems and Telematics Group , collaborating with industry partners on secure IoT deployments and 5G cybersecurity solutions.

• Regional Economics
• Input-Output Analysis
• Tourism Economics
• +4 more

Andre Carrascal Incera is a Researcher at the Department of Fundamentals of Economic Analysis, part of the Faculty of Economic and Business Sciences at the University of Santiago de Compostela. His research focuses on regional economics, input-output models, and the economic impacts of tourism and globalization. He holds a PhD from the same university, where he studied tourism and income distribution using general equilibrium models applied to Galicia's economy. His work spans topics such as economic resilience, pandemic effects, and interregional inequality. Education: PhD in Economics, University of Santiago de Compostela (2014) Research Interests: Regional economic dynamics Input-output analysis Tourism’s role in regional economies Economic modeling of pandemics Environmental externalities Advising/Grants: No formal advisees or grants listed. Collaborations include the GAME (Economic Analysis and Modeling Group). Labs/Teams: Member of the GAME group, focusing on economic modeling and regional development.

• Smart and Sustainable Grids
• Intelligent Systems
• Bioengineering
• +4 more

Dr. Gregorio López López is an Associate Professor at the School of Engineering (ICAI) of Universidad Pontificia Comillas and a member of the Institute for Research in Technology (IIT). His research focuses on Smart and Sustainable Grids, Intelligent Systems, and Bioengineering. He holds a PhD in Telecommunications Engineering from Universidad Carlos III de Madrid (2014), recognized with the Extraordinary PhD Dissertation Award and CISCO-COIT Prize. Education: PhD in Telecommunications Engineering (UC3M, 2014), MSc and BSc in similar fields. His research interests include M2M communications optimization, IoT cybersecurity, and smart grid technologies. He has led over 17 national/EU projects including eFORT and InteGrid. His work spans 64 conference papers and 31 journal publications. Key awards: CISCO-COIT Prize (2015), Extraordinary PhD Award (2015), Deloitte Prize (2021), Lyntia Prize (2022). He advises 4 PhD students, teaches telecommunications subjects, and contributes to cybersecurity initiatives like the RAYUELA project. His lab focuses on integrating cybersecurity with smart grid systems and youth tech safety.

Allison Altman SinglesView profile

Associate Professor

• Biomechanics
• Running Biomechanics
• Gait Analysis
• +5 more

Allison Altman Singles serves as an Associate Professor of Kinesiology and Mechanical Engineering at Pennsylvania State University, specifically at the Penn State Berks campus. Her dual appointment spans the College of Engineering and College of Health and Human Development, reflecting the interdisciplinary nature of her work at the intersection of biomechanics, engineering, and human movement science. Dr. Singles holds a B.S. in Biomedical Engineering from the University of Rochester, followed by both M.S. and Ph.D. degrees in Biomechanics and Movement Sciences from the University of Delaware's Running Research Laboratory. She completed her postdoctoral training in Orthopaedics and Bioengineering at the McKay Orthopaedic Research Laboratory, University of Pennsylvania. Her research focuses on the mechanical consequences of gait and functional movement on bone and the musculoskeletal system. One major branch investigates the effect of impact loading during running on bone injury, utilizing gait analysis techniques to map 3D body motion and estimate forces on the body during activity. These forces serve as inputs for computational models derived from clinical CT images to estimate forces experienced by bone tissue. Another significant research line examines how bone pathology and disease affect functional movement, using advanced bone imaging techniques to visualize tissue and estimate responses to everyday activities. Her recent publications demonstrate a strong focus on practical biomechanics applications, particularly examining how running with a stroller alters running form and impacts injury risk. Her research shows that stroller running reduces impact force by 16% (potentially decreasing risks of shin splints, runner's knee, and stress fractures) but increases torsion by 36% (potentially increasing lower leg stress fracture risk). Dr. Singles co-founded the Biomechanics and Gait Evaluation Laboratory (BaGEL) at Penn State Berks with Joseph Mahoney, where they employ high-speed motion capture technology and force plates to study running mechanics. The lab's work combines engineering principles with kinesiology to address real-world movement challenges. Her research has practical implications for runners, particularly parents who run with strollers, and contributes to broader understanding of how mechanical loading affects bone health and injury risk. Future research directions include studying how hills and uneven terrain affect stroller running mechanics and exploring alternative stroller designs that might allow for more natural running form.

• Cloud Computing
• Peer-to-Peer Systems
• Distributed Networks
• +12 more

Felix Urs Erich Freitag is an Associate Professor in the Department of Computer Architecture at the Barcelona School of Informatics (FIB), Universitat Politècnica de Catalunya (UPC). He is a key member of the CNDS - Computer Networks and Distributed Systems research group, where he actively contributes to projects in cloud computing, peer-to-peer systems, and IoT networking. His primary research interests include Cloud Computing , Peer-to-Peer (P2P) Systems , Internet of Things (IoT) , LoRa Mesh Networks , Federated Learning , Edge Computing , and Blockchain for IoT . His work spans from fundamental networking protocols to applied research on decentralized systems and sustainable digital technologies. He has also contributed to educational innovation through open project-based learning methodologies. Dr. Freitag's recent publications highlight a strong focus on integrating AI with low-power IoT networks, particularly using LoRa technology for federated learning and secure, decentralized identity solutions. His work demonstrates a clear trend towards enabling intelligent, trustworthy, and resource-efficient distributed systems at the network edge. Scientific Awards: 1er Premi UPC de Ciència Oberta 2024 He has been involved in significant research and innovation projects, including European H2020 and Horizon Europe initiatives, often in collaboration with colleagues like Leandro Navarro and Roque Meseguer. His research is supported by competitive grants focused on digital, industry, and space technologies. He also contributes to educational innovation projects and has supervised student theses, fostering a collaborative research environment within the UPC. His work is associated with the development of experimental testbeds and software libraries for LoRa mesh networks and federated learning, indicating a hands-on approach to building and validating distributed systems.

• Computer Architecture
• Programming Models
• Parallel Computing
• +5 more

Marc Gonzalez Tallada is a researcher at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Computer Architecture within the Barcelona School of Informatics (FIB). He is a member of the MGT Research Group, focusing on Programming Models and high-performance computing systems. His research interests lie in the domain of computer architecture and programming models, with a strong emphasis on parallel and distributed computing, performance optimization, and system-level software. His work contributes to the design and implementation of efficient programming models that exploit modern parallel architectures. The recent publications (2010–2024) reflect a consistent focus on programming models, particularly in the context of high-performance computing. Key themes include task-based programming, runtime systems, compiler optimization, memory management, and performance analysis. The research spans computer architecture, system software, and compiler design, demonstrating a multidisciplinary approach to solving challenges in parallel computing. Scientific Awards and Recognitions: Premi o reconeixement Advising and Grants: While specific student names are not listed, his involvement in competitive R&D+i projects indicates active participation in funded research. These projects suggest leadership or collaboration in grant-supported initiatives related to programming models and computer systems. His role in innovation and research projects highlights contributions to both academic and applied domains. Labs and Research Teams: He is a core member of the MGT (Programming Models) research group at UPC, which focuses on advancing the state-of-the-art in programming models for parallel and distributed systems.

• Computer Architecture
• High-Performance Computing
• Distributed Systems
• +12 more

Yolanda Becerra Fontal is a faculty member at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Computer Architecture within the Barcelona School of Informatics (FIB). She is actively involved in research projects and collaborations, notably with the Barcelona Supercomputing Center, and is a member of prominent research groups such as the High Performance Computing Group (CAP) and CROMAI (Computing Resources Orchestration and Management for AI). Research Interests: Her research spans a broad spectrum of computer systems, with a consistent focus on performance, efficiency, and scalability. Key areas include Computer Architecture , High-Performance Computing (HPC) , Distributed and Cloud Systems , Resource and Energy Management in virtualized environments, and Data-Intensive Computing . More recently, her work has centered on innovative time-series database systems and data management for edge and cloud analytics. Publication Trends: Her recent scholarly output (2020-2022) shows a strong emphasis on time-series data management, proposing novel database architectures like NagareDB and strategies for polyglot persistence. Earlier work (2009-2013) was pivotal in MapReduce workload management, energy accounting for virtualized systems, and optical data center networks, demonstrating a long-standing contribution to foundational distributed computing challenges. Scientific Contributions: Her work has been published in top-tier journals and conferences such as Future Generation Computer Systems , IEEE Transactions , and Nucleic Acids Research . She has also contributed to significant competitive R&D projects and holds patents related to data flow management and distributed indexing. Advising and Grants: Dr. Becerra Fontal has served as a thesis advisor for doctoral students. Her research has been funded through competitive grants from national and regional programs, including Spanish State Research Plans (Plan Estatal de Investigación) and Catalonia's RIS3CAT strategy, supporting projects on high-performance computing and data management. Research Groups and Labs: She is a core member of the CAP - High Performance Computing Group and the CROMAI - Computing Resources Orchestration and Management for AI group at UPC. Her work is closely associated with the Barcelona Supercomputing Center (BSC) , one of Europe's leading supercomputing facilities, indicating access to advanced computational infrastructure.

• Smart Grids
• Sustainable Energy Systems
• Information and Communication Technologies for Smart Grids
• +6 more

Néstor Rodríguez Pérez is an Assistant Professor at the Technological Research Institute (IIT) of Comillas Pontifical University, affiliated with the School of Engineering. His research focuses on smart grids, digitalization of power systems, and the integration of information and communication technologies (ICT) in energy networks. His research interests include sustainable smart grids, IoT in power systems, cybersecurity (particularly MaDIoT attacks), scalability and replicability of digital solutions, TSO-DSO coordination, and edge computing for grid applications. He applies advanced modeling and simulation techniques to evaluate the performance and security of modern power systems. The recent publications reflect a strong trend in analyzing the digital transformation of electricity distribution networks, with emphasis on ICT architecture, cybersecurity threats, and scalability of communication protocols such as Modbus TCP and wireless M-Bus. His work bridges theoretical modeling with practical implementation in European power systems, often in the context of EU-funded projects. He has been involved in significant research grants and projects funded by the European Commission (Horizon 2020 and Horizon Europe), the State Research Agency (AEI), and the Naturgy Foundation. These projects focus on digital twins, grid resilience, flexibility solutions, and transnational smart grid platforms. He has conducted a research stay at the Electrical Sustainable Energy Department of TU Delft and has been active in knowledge dissemination through technical reports, workshops, and invited seminars at IIT Comillas and international forums.