Find Academic Supervisors

• Antitrust Law
• Copyright Law
• Network Industries
• +2 more

Randal C. Picker is the James Parker Hall Distinguished Service Professor of Law at the University of Chicago Law School. His research examines antitrust, copyright, and regulatory issues in high-technology industries, including digital platforms, network economics, and bankruptcy law. He created a MOOC on Internet Giants: The Law and Economics of Media Platforms and is authoring textbooks on antitrust and computer platforms. Education: B.A. in Economics (cum laude), University of Chicago (1980) M.A., University of Chicago (1982) J.D. (Order of the Coif, cum laude), University of Chicago Law School (1985) Research Focus: Picker's work explores the intersection of law, economics, and technology. Key areas include antitrust enforcement in digital markets, copyright mechanics (e.g., public domain access, orphan works), bankruptcy distribution rules, and regulatory frameworks for emerging technologies like IPTV and cloud computing. His recent publications analyze competitive dynamics in digital libraries (e.g., Google Book Search), pricing strategies in networked industries, and constitutional limits in bankruptcy courts. Publications: His 15 most recent articles (2013–2020) predominantly address bankruptcy law, digital copyright, and antitrust policy. Trends include rigorous analysis of legal partitions in bankruptcy, competition implications of digital settlements, and evolving doctrines in antitrust jurisprudence. Earlier works dissect DRM, fashion copyright, and intermediary regulation. Additional Activities: Picker contributes to legal discourse through working papers on platforms like SSRN and engages with high-profile cases (e.g., Stern v. Marshall ). No awards, grants, or student advising details are provided in the source text.

• Robotics
• Computer Science
• Mechanical Engineering
• +8 more

Luis Enrique Moreno Lorente is a Full Professor in the Department of Systems Engineering and Automation at Carlos III University of Madrid, where he leads research in the Robotics Lab. He is affiliated with the Pedro Juan de Lastanosa Institute of Technology Development and Innovation and the Research Institute for Higher Education and Science (INAECU). Research Focus: Robotics, Soft Robotics, Control Systems, and Human-Machine Interaction Key Applications: Neurorehabilitation, Unmanned Aerial Vehicles, and Industrial Automation Research Trends in his recent work include: Soft robotic actuators using Shape Memory Alloys (SMA) Advanced path planning for UAV teams and Mars rovers Integration of Gaussian processes and evolutionary algorithms Wearable rehabilitation devices controlled by sEMG signals Mechanical design optimization for high-displacement actuators Supervised Theses cover topics like Global localization algorithms Evolutionary optimization techniques Intelligent actuator systems Cerebral palsy rehabilitation robotics Key Grants include projects funded by the European Commission, Arquimea Aerospace, and Spanish government initiatives in robotics and rehabilitation.

Aurelio Gallardo CaparrosView profile

Researcher

• Nanotechnology
• Theoretical Physics
• Materials Science
• +2 more

Dr. Aurelio Gallardo Caparros is a postdoctoral researcher at IMDEA Nanociencia , specializing in the theoretical characterization of low-dimensional nanostructures. He collaborates closely with experimental teams, particularly the Nanoarchitectonics on Surfaces group led by David Écija, to develop computational tools for interpreting scanning probe microscopy (SPM) data and designing experiments. BSc & Master's in Physics (University of Granada, Spain) PhD in Physics (Charles University, Prague, Czech Republic) His research focuses on density functional theory (DFT) approaches for 2D materials and molecular nanostructures. Key areas include: Chemical reactions on solid surfaces SPM imaging mechanisms Charge state analysis in molecular systems Publications reveal expertise in nanoscale simulations, with emphasis on π-conjugated polymers , Kelvin probe force microscopy (KPFM) , and probe-particle models . Awards include Juan de la Cierva and MSCA-IDEAL postdoctoral fellowships.

• Naval Engineering
• Maritime Transport
• Ship Auxiliary Systems
• +3 more

Luis Manuel Carral Couce is a Professor in the Department of Naval and Industrial Engineering at the Polytechnic School of Engineering of Ferrol, University of A Coruña. His academic career spans over two decades with extensive contributions to naval engineering research and education. His research interests focus on Naval Engineering , Maritime Transport , and Ship Auxiliary Systems . Specifically, he investigates anchoring and mooring systems for ships and floating devices, fishing and towing equipment, maritime transport logistics, and the design-production of artificial reefs for marine ecosystem restoration. His work integrates engineering principles with environmental sustainability considerations in marine applications. An analysis of his recent publications (2019-2023) reveals a strong emphasis on environmental sustainability in maritime operations, marine safety protocols, and innovative naval structure design. His research bridges theoretical engineering with practical maritime applications, often addressing real-world challenges in ship design, marine operations, and coastal environmental protection. Professor Carral Couce has secured numerous research projects funded by diverse entities including the European Union, Xunta de Galicia, Universidad Marítima Internacional de Panamá, and various industrial partners. His research group, the Mixed Engineering Group, focuses on practical engineering solutions for maritime challenges. He actively supervises final degree and master's projects, with records showing continuous supervision since 2013. His teaching portfolio includes courses on Equipment and Services, Logistics and Maritime Transport, Occupational Safety in Strategic Economic Sectors, and Auxiliary Systems of the Ship across both undergraduate and graduate programs in Naval and Oceanic Engineering.

César SánchezView profile

Professor

• Formal Methods
• Computer Science
• Logic
• +6 more

César Sánchez is a Full Professor at the IMDEA Software Institute , where he has been since 2007. He earned his Ph.D. in Computer Science (2007) and M.S. in Computer Science (2001) from Stanford University , and a M.Eng in Telecommunication Engineering from Universidad Politécnica de Madrid (1998). His academic career includes promotions to Associate Professor in 2012 and Full Professor in 2023. Research Interests Formal Methods Temporal Logics for Hyperproperties Reactive Synthesis Modulo Theories Blockchain and Smart Contract Reasoning Runtime Verification of Real-Time Systems Neurosymbolic Formal Methods His publications span 15 recent works (2023-2025) focusing on formal verification of systems using temporal logics , reactive synthesis , and blockchain applications . Key trends include asynchronous hyperproperty analysis , anticipatory monitoring , and shield synthesis for DRL and blockchain systems. Service & Collaboration Program Committee Member: CAV'25, ATVA'24, TACAS'24, DAPPS'23 Collaborations with institutions like Stanford, IMDEA, and Nature César actively recruits researchers (interns, PhD students, postdocs) for his group at IMDEA, focusing on hyperproperties, reactive synthesis, and blockchain verification.

• Operations Research
• Stochastic Optimization
• Energy Systems Modeling
• +7 more

Francisco Alberto Campos Fernández is a Research Associate Professor at the Institute for Technological Research (IIT) and a professor in the Department of Industrial Organization at the School of Engineering (ICAI) of Comillas Pontifical University. Accredited by ANECA and ACAP for all teaching roles, he holds three six-year research terms in operations research. His work bridges theoretical optimization methods with practical energy market applications, focusing on electricity and emerging hydrogen markets. He earned his degree in Mathematical Sciences from Complutense University of Madrid (1999) with specialization in Operations Research, followed by a PhD in Industrial Engineering from Pontifical Comillas University (2006). His research spans mathematical optimization techniques applied to energy systems, with particular expertise in stochastic optimization, market equilibrium modeling, and integration of renewable resources. Recent work has increasingly focused on hydrogen markets, distributed generation, and energy communities, reflecting the evolving energy transition landscape. Analysis of his publication record reveals a clear evolution from foundational work in optimization theory and electricity market modeling toward increasingly complex multi-market integration problems. His recent publications demonstrate a strategic shift toward addressing the challenges of hydrogen-electricity market coupling, renewable integration, and distributed energy resources. This progression reflects both his theoretical depth in operations research and his practical understanding of evolving energy systems. Director of prizewinning work in Chair of Hydrogen Studies Prize for the best Final Master Project 2021-22 Director of prizewinning work in Iberdrola Prize for the best Final Year Project 2017-18 Director of prizewinning work in Iberdrola Prize for the best Final Year Project 2016-17 Fellowship Mobility stays abroad José Castillejo Professor Campos Fernández has supervised multiple PhD students and master's theses, with several currently in progress. His extensive project portfolio includes 91 research projects, primarily conducted for Endesa and other energy companies, focusing on market modeling, strategic analysis, and optimization tools for power system planning. The CODEX project series represents his most sustained research effort, evolving over more than a decade to address increasingly complex energy system challenges. He maintains active collaborations with international research institutions and has served on the Management Committee of the COST Action TD1207 from 2013-2024. As a core member of the IIT research team, he contributes to the institute's mission of developing advanced analytical tools for the energy sector. His work sits at the intersection of theoretical operations research and practical energy market applications, with significant contributions to modeling frameworks used by industry partners. The integration of his research with teaching activities ensures that students benefit from cutting-edge industry-relevant knowledge.

• Risk Analysis
• Actuarial Science
• Insurance Economics
• +3 more

Montserrat Guillén Estany is a Professor of Quantitative Methods for Economics and Business at the University of Barcelona's Faculty of Economics and Business since 2001. She serves as Vice-Secretary of the Governing Board at the Royal Academy of Economic and Financial Sciences (RACEF) and directs the consolidated Risk in Finance and Insurance research center (UBriskcenter), which comprises 25 permanent researchers and 25 international affiliates. She also holds an Honorary Visiting Professorship at City, University of London. Bachelor of Science in Mathematics (Mathematical Statistics), University of Barcelona (1987) PhD in Economics and Business Administration, University of Barcelona (1992) Master's in Data Analysis, University of Essex, UK Visiting researcher: University of Texas at Austin, University of Paris II, University of California-Berkeley, University of Cambridge Her research focuses on risk analysis and actuarial science , particularly developing statistical methods for insurance applications. She pioneered work in operational risk modeling and quantitative approaches to insurance economics, establishing herself as the top-cited woman in Actuarial Sciences and second in Insurance. Her work bridges theoretical statistics with practical insurance industry applications, emphasizing computational methods and real-world data analysis. The 15 most recent publications demonstrate consistent leadership in actuarial methodology innovation , with increasing integration of machine learning techniques since 2020. Her research spans cyber risk, climate risk, longevity modeling, and regulatory compliance, maintaining strong connections to industry needs while advancing theoretical frameworks. Recent work shows particular emphasis on non-traditional data sources and computational approaches to complex risk scenarios. ICREA Academia distinction (2012, 2019) - only social sciences researcher to receive twice Casualty Actuarial Society honor (USA) Julio Castelo International Insurance Prize Honorary member, College of Actuaries of Catalonia Professor Guillén has supervised 17 doctoral theses at the University of Barcelona and co-supervised two internationally. She serves on numerous doctoral committees globally and participates in professor selection committees across Europe and North America. Her research has secured funding from Mapfre Foundation, BBVA Foundation, European Commission H2020, and other major institutions. She leads the UB-Zurich Chair of Insurance and UB-Mutualidad de la Abogacía Chair, focusing on actuarial innovation and aging economics research. As director of UBriskcenter, she leads a multidisciplinary team of 50 researchers conducting cutting-edge work in financial and insurance risk. The center maintains strong industry partnerships and international academic collaborations, particularly through the European Group of Risk and Insurance Economists which she previously presided over.

• Artificial Intelligence
• Machine Learning
• Technoculture
• +4 more

Ramon Sangüesa Sole is a Professor at Universitat Politècnica de Catalunya (UPC) within the School of Computer Science and Department of Computer Science . He is a member of the IDEAI-UPC (Intelligent Data Science and Artificial Intelligence Research Group) and KEMLG (Knowledge Engineering and Machine Learning Group). Fields of Interest : Artificial Intelligence, Machine Learning, Technoculture, Science Communication, Social Innovation Education : Doctor in Computer Science (UPC) His research focuses on integrating AI with social and environmental contexts, developing algorithmic transparency frameworks, and creating sociotechnical systems. Key projects include democratizing AI through citizen participation and applying machine learning to urban planning and educational innovation. His work emphasizes ethical considerations and interdisciplinary collaboration. Recent publications analyze topics like algorithmic transparency, urban AI applications, and student engagement technologies. Awards include the DISTINCIÓ JAUME VICENS VIVES for research excellence and the 8è Premi a la Qualitat en la Docència Universitària for educational innovation. Sangüesa leads projects in AI-driven design, environmental decision support systems, and personalized learning frameworks.

Jordi Domingo-PascualView profile

Professor

• 5G Network Architecture
• Software-Defined Networking (SDN)
• Locator/Identifier Separation Protocol (LISP)
• +10 more

Jordi Domingo-Pascual is a Full Professor at the Universitat Politècnica de Catalunya - BarcelonaTech (UPC), affiliated with the Department of Computer Architecture within the Faculty of Informatics of Barcelona (FIB). He is a member of the UPC CBA - Broadband Communications Systems and the IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Group. His research spans networking, telecommunications, and ethical aspects of technology design. Research Interests: His primary areas of expertise include 5G network architectures, software-defined networking (SDN), Locator/Identifier Separation Protocol (LISP), traffic engineering, quality of service (QoS), network monitoring, and ethics in engineering education. He investigates both technical and societal dimensions of emerging network technologies. Publication Trends: His recent scholarly output (2020–2022) emphasizes SDN controller placement optimization, open-source traffic engineering tools, and the integration of ethical considerations in engineering curricula—particularly in the context of AI and pandemic-era digital tracing applications. Earlier works focus on ATM multicasting, QoS, and broadband network characterization. Scientific Awards: Premi o reconeixement Advising and Grants: While specific advisees are not listed, his extensive research activity—including participation in European projects—suggests involvement in supervising students and securing competitive R&D funding. His work on traffic engineering, SDN, and LISP indicates leadership in national and international collaborative grants. Labs and Research Groups: He is actively involved in the UPC CBA research group focused on broadband and communication systems and the IDEAI-UPC group advancing data science and AI. These affiliations reflect a strong interdisciplinary research profile bridging networking and intelligent systems.

• Computer Architecture
• High-Performance Computing
• VLIW Processors
• +9 more

Jose Francisco Llosa Espuny is a faculty member at the Universitat Politècnica de Catalunya (UPC), affiliated with the Faculty of Computer Science of Barcelona (FIB) and the Department of Computer Architecture. He is a key member of the PM - Programming Models research group and has been involved in numerous competitive R&D projects related to high-performance computing and computer architecture. University: Universitat Politècnica de Catalunya School: Faculty of Computer Science of Barcelona Department: Department of Computer Architecture Research Group: PM - Programming Models Email: josepll@ac.upc.edu ORCID: 0000-0001-7740-3148 His research focuses on advanced computer architecture topics, particularly VLIW processors, software pipelining, register allocation, and compiler optimizations for high-performance and low-power systems. He has also made significant contributions to computer science education, exploring active learning, problem-based learning, and the use of interactive response systems for formative assessment. His recent publications and projects, including the European Master for HPC Curriculum and various HPC education initiatives, highlight his ongoing engagement in both technical research and pedagogical innovation. The articles reflect a strong trend in optimizing processor architectures for performance and energy efficiency, as well as improving teaching methodologies in computer science. He has been involved in significant research projects funded by the Spanish government and the European Union, such as those under the HORIZON 2020 program and various national R&D plans. Llosa Espuny has advised doctoral students, including Manoj Gupta and Francisco Zalamea, indicating his role in mentoring the next generation of researchers. He has collaborated extensively with leading figures in the field, such as Mateo Valero and Eduard Ayguadé, on numerous publications and projects. His work is associated with the Barcelona Supercomputing Center, a key entity in national and European high-performance computing efforts.

• Metabolic Disorders
• Hormonal Regulation
• Liver Metabolism
• +3 more

Rubén Nogueiras Pozo is a Researcher at the Department of Physiology, University of Santiago de Compostela. He is affiliated with the Center for Research in Molecular Medicine and Chronic Diseases (CIMUS) and the MetaMol research group focusing on Molecular Metabolism. His academic career includes a Doctorate from the University of Santiago de Compostela (2003), with a thesis on 'Distribution and regulation of resistin in rats' under Dr. Carlos Diéguez González. His research interests span neuroendocrine regulation, metabolic disorders, hormonal signaling in obesity and diabetes, and liver metabolism. Key areas include AMPK signaling pathways, hepatic lipid metabolism, and the role of hormones like ghrelin and AMH in energy homeostasis. His work integrates molecular biology, animal models, and computational approaches to address metabolic diseases. Recent articles highlight advancements in PCOS treatment via AMH signaling modulation, neuroprotective mechanisms in cerebral ischemia, and rejuvenation interventions in neurodegenerative diseases. His studies also address drug-induced liver injury, metabolic effects of SARS-CoV-2, and the role of neddylation in cellular processes. No scientific awards are explicitly listed in the provided texts. He collaborates with the GIBIOMED biomedical research group and contributes to translational hepatology initiatives. His research often explores the interplay between central nervous system signaling and peripheral organ systems, with implications for therapeutic development in metabolic and liver diseases.

ROI MENDEZ FERNANDEZView profile

Professor

• Audiovisual Communication
• Virtual TV Sets
• Mixed Reality in Education
• +5 more

ROI MENDEZ FERNANDEZ is a Professor at the University of Santiago de Compostela, affiliated with the Department of Communication Sciences within the Faculty of Communication Sciences. He is also part of the Institute of Studies and Development of Galicia (IDEGA) and the Audiovisual studies research group focused on audiovisual communication technologies. His academic career includes a doctoral thesis in 2017 titled Advanced visualization and interaction applied to virtual scenarios , supervised by Dr. Julian C. Flores González and Dr. Enrique Castelló Mayo. His research interests center on virtual TV set technologies , mixed reality applications in education , motion capture systems , and cloud-based educational platforms . Recent work explores the viability of tools like Cloudclass in primary education, telepresence in art education, and benchmarking human pose estimation solutions for virtual television. Notable contributions include developing distributed virtual TV architectures, cyclorama illumination calibration, and low-cost sensor integration for natural interaction systems. His projects often bridge academic research with practical applications in media production and educational technology. He actively collaborates with the COGRADE research group on computer graphics and data engineering.

Víctor Fernandez PallarésView profile

Part-Time Lecturer

• Quantitative Methods for Business and Economics
• Smart Cities
• Interoperability
• +5 more

Víctor Fernandez Pallarés is a part-time academic and researcher affiliated with the University of Valencia's Faculty of Economics, Department of Applied Economics. His career spans academia, industry, and EU-funded research projects. Education: PhD in Interoperability for European Smart Cities (Universitat Politècnica de València, 2018), MSc in Mathematics (Universitat de València), MSc in Telecommunications Engineering (Universitat Politècnica de València), and Enterprise MBA (Accenture, USA). Research Focus: Quantitative methods for business and economics, smart cities, interoperability, electric vehicle charging, and sustainable mobility systems. His work integrates artificial intelligence and model predictive control for optimizing energy supply in urban environments, particularly in projects like SMARTV2G and MOBINCITY. He holds a patent (CAPPD) and has contributed to FIWARE-based platforms. Awards include Mathematical Olympiad victories and recognition for national STEM projects. Scientific Contributions: 15+ publications in smart city ecosystems, energy management, and augmented reality systems. Leadership Roles: Innovation Consulting Manager at Stratesys, Head of R&D at CIT Group, Expert Member of the European Commission, and advisory roles in ISRLab.

• Game Theory
• Operational Research
• Cooperative Games
• +7 more

Dr. Balbina Casas Mendez is a Professor in the Department of Statistics, Mathematical Analysis and Optimization at the University of Santiago de Compostela (USC) , affiliated with the Galician Mathematical Research and Technology Center (CITMAga) and the MODESTYA research group focused on optimization, decision-making, and statistical models. She holds a doctorate from USC (1996) for her thesis on cooperative games with graph-restricted communication, advised by Dr. José Manuel Prada Sánchez. Her research lies at the intersection of Game Theory , Operational Research , and Mathematical Economics , with emphasis on cooperative games, power indices, bankruptcy rules, and multi-issue allocation problems. Her work applies these concepts to real-world scenarios like food distribution logistics, European Union decision-making, and healthcare data analysis. Recent publications highlight her expertise in: Algorithmic methods for power indices in coalition-structured games Heuristic solutions for logistics and agricultural planning Statistical approaches to feature influence in classification problems Axiomatic characterizations of game theory solutions She has co-authored over 31 works since 2000, with significant contributions to journals like the European Journal of Operational Research and International Journal of Game Theory .

• Statistics
• Operational Research
• Geolinguistics
• +7 more

Maria Jose Ginzo Villamayor is an Assistant Professor at the University of Santiago de Compostela (USC), affiliated with the Department of Statistics, Mathematical Analysis and Optimization within the Faculty of Labor Relations. She holds a PhD in Statistics (2022) with a thesis on Statistical Techniques in Geolinguistics. Onomastic Modeling , supervised by Dr. Rosa M. Crujeiras Casais. Her research focuses on interdisciplinary applications of statistics and optimization, including wildfire management logistics, geolinguistic surname analysis, forest inventory systems (via TLS technology), and healthcare analytics. Education: PhD in Statistics (2022), University of Santiago de Compostela. Research interests span: Statistical modeling in geolinguistics and onomastics Optimization models for emergency resource allocation (e.g., firefighting helicopter logistics) Development of R packages for environmental data analysis (e.g., FORTLS for forest inventories) Applications of machine learning in epidemiology and medical diagnostics Demographic studies involving spatial distribution patterns Her recent work demonstrates expertise in merging mathematical techniques with real-world challenges, particularly in environmental management and public health. Despite prolific publication output, no formal academic awards are explicitly mentioned in the provided data. Labs/Teams: Active member of the MODESTYA research group (Optimization, decision, statistical models and applications) and the Galician Mathematical Research and Technology Center (CITMAga).