Henar Álvarez Cuesta is a Professor at the University of León's Department of Private and Business Law, specializing in Labour and Social Security Law. She leads the DTSS DERECHO DEL TRABAJO Y DE LA SEGURIDAD SOCIAL research group, focusing on occupational safety, collective bargaining, and gender-specific labor issues. Doctoral thesis on Syndical Representation (2004) Supervised by Dr. Juan José Fernández Domínguez Key areas: Climate Change Labor Impact, AI Workplace Regulation Her recent work analyzes intersections between labor law and ecological transition, with gender-focused studies on AI monitoring, telework compensation, and occupational hazards in feminized sectors like hotel housekeeping. She contributes to European labor policy analysis through comparative studies and judicial commentary. Research trends show increasing focus on: Climate-responsive labor regulations AI-driven workplace governance Gender-sensitive policy frameworks Sustainable employment models Telework financial implications Post-Growth labor utopias
Dr. Joan Duran Grimalt is an Associate Professor of Applied Mathematics in the Department of Mathematics and Computer Science at the University of the Balearic Islands (UIB). He serves as a member of the Mathematical Image Processing (TAMI) research group and the Institute of Applied Computing and Community Code (IAC3). From July 2021 to June 2024, he held the position of deputy director of the Higher Polytechnic School and head of studies for the Degree in Mathematics program. His academic career at UIB began in 2015 following the completion of his PhD. Dr. Duran Grimalt earned his academic credentials at prestigious institutions: BSc in Mathematics (2010) from the University of the Balearic Islands (UIB) MSc in Advanced Mathematics and Mathematical Engineering (2011) from the Polytechnic University of Catalonia PhD in Mathematics (2016) from UIB with thesis on variational models for ill-posed inverse problems in digital imaging His research spans the intersection of mathematical theory and practical applications in imaging science. Dr. Duran Grimalt specializes in nonlinear analysis, calculus of variations, partial differential equations, and deep unfolding architectures. His work focuses on developing mathematical frameworks that bridge traditional variational methods with modern deep learning approaches, particularly for image processing and computer vision applications. This hybrid methodology allows for both the interpretability of model-based approaches and the performance benefits of data-driven techniques. Analysis of his recent publications reveals a clear research trajectory toward integrating classical mathematical models with deep learning architectures, particularly through the technique of deep unfolding. His work consistently addresses challenging problems in satellite image processing, pansharpening, hypersharpening, and low-light image enhancement. The publications demonstrate a progression from purely variational approaches to increasingly sophisticated hybrid models that incorporate attention mechanisms, nonlocal operations, and specialized network architectures designed specifically for imaging problems. His notable scientific recognition includes: Fellowship from the Govern de les Illes Balears for PhD research (2011-2015) Dr. Duran Grimalt has secured research funding for multiple projects, leading two major initiatives. He has established significant international collaborations with the National Centre for Space Studies (CNES) in France, where he contributed to the image restoration chain for Earth observation satellites, and with the Oceanographic Centre of the Balearic Islands, focusing on deep unfolding architectures for remote sensing data fusion and marine object detection. His academic mentorship includes supervising PhD candidates M. Francesc Alcover (working on nonlocal theory for variational problems) and Daniel Torres (researching the combination of variational models and deep learning for image processing). He has also been a visiting researcher at leading institutions including the Technical University of Munich, ENS Paris-Saclay, and New York University. His research is conducted through the Mathematics, Imaging and Learning (MIA) Consolidated R+D+I Group, where he is an active member, and leverages resources from the Institute of Applied Computing and Community Code (IAC3). These research structures provide the computational infrastructure and collaborative environment necessary for his work on advanced image processing algorithms and their applications in satellite imaging and computer vision.
Victor Manuel Brea Sánchez is a Professor at the University of Santiago de Compostela , affiliated with the Department of Electronics and Computing within the Higher Technical School of Engineering . He holds a PhD from the same university, completing his thesis on Design of a mixed-signal CMOS integrated circuit for pixel-level snakes in 2003 under the guidance of Dr. Diego Cabello Ferrer and Dr. David López Vilariño. His research focuses on Computer Vision , CMOS Sensors , and Embedded Systems , with particular emphasis on real-time vision systems , time-of-flight imaging , and deep learning . He leads the Artificial Vision research group and contributes to the Center for Research in Intelligent Technologies (CITIUS) . His recent work includes advancements in high dynamic range vision sensors , event-based cameras , and analog computing-in-memory architectures . He has pioneered energy-efficient algorithms for multi-object tracking and small object detection in videos, often implemented on low-power embedded systems. Key contributions include the HOPBAS10K CMOS vision sensor for background subtraction and the STDnet convolutional neural network for small target detection. His research bridges hardware design (e.g., CMOS sensor architectures) with software (e.g., deep learning algorithms), emphasizing algorithm-hardware co-design for real-world applications like traffic monitoring and biomedical systems. Notable projects include the iCaveats initiative integrating vision architectures for embedded systems and a low-power voltage reference circuit for implantable devices. He has also developed a capacitance-based wireless sensor network for agricultural pest monitoring.
Xosé Ramón Fernández Vidal is a Professor at the University of Santiago de Compostela, affiliated with the Department of Applied Physics within the Higher Polytechnic School of Engineering. His research focuses on Computer Vision, Image Processing, and Machine Learning, with applications in robotics, medical imaging, and environmental analysis. He holds a Doctorate from the same university (1996), specializing in geometric recognition methodologies. His work bridges computational models of visual attention and practical systems like UAV navigation, wireframe modeling for 3D reconstruction, and synthetic image generation for AI training. He is part of the Artificial Vision group at the Center for Research in Intelligent Technologies (CITIUS). Key research themes include visual saliency modeling, robust feature matching in low-textured environments, and algorithmic approaches to scene recognition. His contributions span over 40 publications since 1997, emphasizing interdisciplinary applications such as flour quality assessment via neural networks and environmental variable analysis in agricultural settings. While no formal awards are listed, his sustained output reflects impactful contributions to computational vision systems. His current projects involve developing biologically inspired vision systems (e.g., BIVSEE) and advancing datasets like Sid4vam for attention modeling. He collaborates with industry and academic partners in robotics, medical imaging, and environmental monitoring. No doctoral students are explicitly listed, though his research groups likely involve postgraduate researchers. His address is in Compostela, Galicia, Spain.
Marta Rodriguez Castro is an Assistant Professor at the University of Santiago de Compostela, affiliated with the Department of Communication Sciences within the Faculty of Communication Sciences. She is also associated with the Institute of Studies and Development of Galicia (IDEGA). Her doctoral thesis (2021) focused on public value tests in European public service media, advised by Dr. Francisco Campos Freire. Her research centers on public service media innovation, public value conceptualization, digital transformation challenges, proximity strategies in regional broadcasting, and accessibility in media. She explores how public broadcasters navigate EU regulations, platformization, AI integration, and citizen participation in media governance. Her work frequently compares European cases like Germany, Belgium, and Spain to assess media policy effectiveness. Key themes include: (1) Defining adaptable public value frameworks for evolving digital ecosystems; (2) Empirical analysis of proximity communication models in regional media; (3) Evaluating participatory mechanisms in media decision-making; (4) Investigating the impact of global platforms on European media markets. She emphasizes practical applications like accessibility improvements and innovative storytelling formats for youth audiences. Marta’s contributions span over 50 publications since 2015, covering media governance, public service media sustainability, and digital transformation. Her interdisciplinary approach combines communication studies with policy analysis and technology assessment. Current efforts focus on fostering collaboration between public broadcasters to amplify their societal impact in fragmented digital environments.
Dr. Inna Tsener is an Assistant Professor at the Department of Applied Economics, University of the Balearic Islands, where she has taught since 2015. She currently serves as Vice Dean of the Faculty of Tourism and previously coordinated undergraduate studies at the Faculty of Tourism of Menorca. From 2017-2022, she served on the Board of the European Association of Young Economists. Her educational background includes: Bachelor's in Economics from Lomonosov Moscow State University Master's and PhD in Quantitative Economics from University of Alicante Tsener's research focuses on computational approaches to macroeconomic modeling, specializing in: Development of quantitative methods for non-stationary systems Computational econometrics Dynamic stochastic modeling techniques Efficient expectation computation frameworks Her work bridges theoretical economics with practical computational implementations. Her recent publications (2017-2022) demonstrate strong focus on: Advanced computational methods in economics Innovations in solving dynamic stochastic systems Labor economics and inequality analysis Optimization techniques for economic models She maintains consistent output in high-impact economics journals. Tsener participates in the consolidated R&D group 'Economía Internacional (GREI)' and maintains active research collaborations with economists globally.
Marc Mezzarobba is a Researcher at École Polytechnique , affiliated with the LIX laboratory and MAX team. His work bridges symbolic computation, numerical analysis, and algorithm design for differential and recurrence equations. Key research themes: D-finite functions, rigorous numerical evaluation, symbolic-numeric methods, Mahler equations, precision analysis Recent publications focus on error bounds in linear recurrences, Stokes matrices computation, and high-precision differential equation solutions Active developer of tools like ore_algebra-analytic and NumGfun , with significant contributions to SageMath 2025 talk on "Solving Linear Differential Equations to High Precision" highlights ongoing work in numerical stability
Samuel Ojosnegros Martos is currently the Head of the Bioengineering in Reproductive Health group at the Institute for Bioengineering of Catalonia (IBEC). His research focuses on integrating advanced bioengineering techniques with reproductive biology to develop innovative diagnostic and therapeutic approaches. Affiliated with IBEC Specializes in Bioengineering and Reproductive Health Utilizes hyperspectral imaging and artificial intelligence Focuses on embryo-microbe interactions and protein dynamics Research Interests: Dr. Ojosnegros' work spans multiple disciplines including: Label-free embryo classification systems Metabolic imaging of reproductive cells Protein oligomerization dynamics Wnt signaling in intestinal crypt organization Microenvironment engineering for reproductive health Biophotonic diagnostic tools Recent Publications: His research output demonstrates expertise in hyperspectral imaging, protein dynamics, and tissue patterning technologies applied to reproductive and developmental biology. Key trends include AI integration in embryo evaluation and advanced optical techniques for cellular analysis. Collaborations: Works with institutions like University of Barcelona and clinical partners, advancing translational applications in fertility medicine and regenerative therapies.
Anna Seriola Petit is a researcher at the Institute for Bioengineering of Catalonia (IBEC), affiliated with the University of Barcelona. Her work focuses on bioengineering applications in reproductive health, leveraging cutting-edge technologies such as hyperspectral imaging, artificial intelligence, and quantitative microscopy. Her recent publications highlight advancements in embryo and oocyte analysis through: METAPHOR: A metabolic evaluation framework using phasor-based hyperspectral imaging ROBUST CLASSIFICATION: AI-driven label-free embryo assessment Protein oligomerization dynamics in live cells Her research bridges biomedical signal processing, nanobioengineering, and cellular mechanobiology to address challenges in reproductive medicine.
Davinia Hernandez Leo is a Full Professor and Serra Húnter Fellow at the Department of Information and Communication Technologies, School of Engineering, Universitat Pompeu Fabra (UPF) in Barcelona. She serves as the head of the Interactive and Distributed Technologies for Education (TIDE) research group and is the Commissioner for research in educational innovation at UPF. She is also currently an ICREA-Academia fellow (2019-2024). Dr. Hernandez Leo received her Telecommunications Engineering degree and Ph.D. from Universidad de Valladolid, Spain, in 2003 and 2007, respectively. She has held visiting positions at Open University of the Netherlands (2006), Virginia Tech as a Fulbright Scholar (2012), and University of Sydney (2015). She previously served as Vice-Dean of the UPF Engineering School and head of its Unit for Teaching Quality and Innovation. Her research lies at the intersection of human-centered computing, network and computer applications, and learning sciences. She focuses on Learning and Collaboration Technologies, with specific interests in learning design technology, computer-supported collaborative learning (CSCL), community platforms, learning analytics, and architectures and devices for learning. Currently, she is investigating the interplay of learning design with data analytics, with an emphasis on CSCL. Her work often addresses social inclusion through technology, particularly with vulnerable populations including adults without academic degrees. Dr. Hernandez Leo's recent publications demonstrate a clear trajectory toward integrating ethical considerations with learning analytics, supporting teacher communities through design tools, and exploring collaborative learning environments in both formal and informal settings. Her work bridges theoretical research with practical applications, particularly evident in her collaborations with organizations like Àgora. Best Paper Awards at ICALT2004, ID+TIC2009, and CAE2010 Finalist Best Papers at EDEN2015 and ICALT2020 Best Demo Recognitions at ECTEL2013, ECTEL2018, and ECTEL2021 European Award for Excellence in CSCL Technology ICREA Academia Prize (2019-2024) Multiple teaching recognitions from UPF and Catalan Government Dr. Hernandez Leo is very active in research supervision of PhD students and visitors, and has led numerous European and national research projects including METIS Integrated Learning Design Environment. She has served as Associate Editor for IEEE Transactions of Learning Technologies, Vice-President of the European Association for Technology-Enhanced Learning, and chair of the IEEE ICICLE SIG on Learning Technology Data Standards. Currently, she is an elected member of the CSCL Committee within the International Society of the Learning Sciences and a member of the steering committee of the European Conference on Technology-Enhanced Learning. She leads the Interactive and Distributed Technologies for Education (TIDE) research group, which has established a significant collaboration with Àgora, a non-profit organization supporting adults without academic degrees. Through this partnership, her team has developed technologies for active aging, digital literacy programs, and platforms for community engagement, demonstrating a strong commitment to applying learning technologies for social inclusion and community empowerment.
Dolors Sala Batlle serves as an Associate Professor in the Department of Information and Communication Technologies at Pompeu Fabra University (UPF), where she has been affiliated since 2003 following a distinguished industry career spanning Motorola (1998), Digital Furnace (1999), and Broadcom's broadband R&D leadership. Her academic foundation includes: Computer Science degree from Universitat Autònoma de Barcelona (1990) MSc in Electrical and Computer Engineering from Georgia Institute of Technology (1995) Ph.D. in Electrical and Computer Engineering from Georgia Institute of Technology (1998) Her research centers on broadband access infrastructure, specializing in HFC network optimization, fiber-to-the-home technologies, and Ethernet in the First Mile protocols. With over 20 international patents and contributions to global standards bodies, her work bridges theoretical innovation and commercial product development in next-generation connectivity solutions. During her industry tenure, she led R&D initiatives driving ATM switch algorithms at Motorola and pioneered data transmission frameworks at Digital Furnace and Broadcom, establishing herself as a key contributor to broadband ecosystem evolution before transitioning to academia.
Berkeley J. Dietvorst is an Associate Professor of Marketing at the Booth School of Business, University of Chicago . His research focuses on consumer and managerial decision making under risk and uncertainty, particularly examining preferences for human vs. algorithmic predictions and choice architecture. Key research areas: Predictive algorithms, behavioral economics, consumer psychology, replication studies, and ethical decision making Teaches Marketing Strategy in Spring quarters Recent publications explore algorithm aversion, replication-based prediction models, and AI ethics. His work appears in journals like Nature Human Behaviour , Management Science , and Psychological Science . Scientific Awards : 2025 Journal of Consumer Psychology Best Paper Award 2023 SJDM Best Paper Award 2020 APA Early Career Award 2019 INFORMS Finalist for Decision Analysis Society Publication Award 2019 SPSP Cialdini Prize Contact: berkeley.dietvorst@ChicagoBooth.edu
Andrés José Piñón Pazos is a researcher at the Department of Industrial Engineering within the Ferrol Polytechnic School of Engineering at University of A Coruña (UDC). His work focuses on intelligent and advanced control, optimization and modeling of systems, and virtual and intelligent instrumentation. He teaches both required and optional courses in Industrial and Automatic Electronic Engineering, Industrial Informatics and Robotics, and Mechanical Engineering programs. Research interests include: Intelligent control systems development Industrial process optimization Virtual instrumentation design Smart monitoring systems Automation solutions Energy efficiency improvements Scientific contributions: Registered software (2014) Multiple patents (2013, 2008, 2005) Over 15 research articles International conference publications Key grants and contracts include projects with: Spanish Foundation for Science and Technology (FECYT) Instituto Tecnológico de Castilla y León (ITCL) Galician Department of Education Ministry of Science and Innovation Navantia shipyard International collaborations
Benigno Antonio Rodríguez Gómez is a Professor in the Department of Industrial Engineering at the University of A Coruña, with a focus on Systems and Automation Engineering. He teaches across multiple programs including Naval Engineering, Marine Technologies, and Occupational Risk Prevention, with extensive experience in maritime-related disciplines. College: Escola Técnica Superior de Náutica e Máquinas Research: Cyber Science and Technology group Teaching: Automation, Control Systems, Ergonomics, Energy Efficiency His research bridges automation systems with ergonomic risk prevention , particularly in maritime environments. Recent work explores remote monitoring in refrigerated containers, photovoltaic water pumping systems, and ergonomic risk assessment in non-office work settings. Articles demonstrate expertise in control algorithms , maritime technology , and sustainable engineering applications. Publications span journals like Applied Sciences , Journal of Radiological Protection , and Solar Energy , with interdisciplinary collaboration in maritime, electrical, and ergonomic fields. He supervises final degree projects and master's theses, with notable contributions to maritime ergonomics and energy systems. Grants include national and regional funding from Spain's Ministry of Science, National Institute of Cybersecurity, and Xunta de Galicia. Labs and teams include the Cyber Science and Technology Research Group, collaborating with institutions like Universidade da Coruña and Universidad de Vigo. His work impacts occupational risk prevention, maritime engineering, and renewable energy integration.
Joseph M. Mahoney serves as the Chair of Engineering and Associate Professor of Mechanical Engineering at Alvernia University , where he leads engineering program development, ABET accreditation efforts, and laboratory design. He previously held Associate Professor positions at Penn State Berks in both Mechanical Engineering and Kinesiology. His research at the intersection of Biomechanics and Machine Learning focuses on cost-effective data collection tools for human movement analysis, with recent attention to stroller running biomechanics and overuse injury prevention . His professional memberships include the American Society of Engineering Education (ASEE), American Society of Biomechanics (ASB), Institute of Industrial and Systems Engineers (IISE), and American Society of Mechanical Engineers (ASME). At Alvernia, he oversees five engineering programs, designs cutting-edge labs, and builds industry partnerships for real-world engineering projects and internships. As an educator, he teaches engineering design , statics , and computer programming while mentoring undergraduate researchers. His Biomechanics and Gait Evaluation Laboratory (BaGEL) at Penn State Berks utilized motion capture and force plate technologies to study running mechanics. Current research explores hills and uneven terrain effects on stroller running, alternative stroller designs, and movement pattern analysis using inertial measurement units .
