جست‌وجوی استاد و پژوهشگر

Silverio Juan Martinez Fernandezمشاهده پروفایل

استاد

• Empirical Software Engineering
• Environmental Sustainability of AI
• Green AI
• +۳ مورد دیگر

Silverio Juan Martinez Fernandez is a Professor at the Universitat Politècnica de Catalunya (UPC) , affiliated with the Barcelona School of Informatics (FIB) and the Department of Service and Information Systems Engineering . He is a core member of the inSSIDE and GESSI research groups. His expertise spans Empirical Software Engineering , Green AI , MLOps , and Software Analytics . Education: Bachelor's in Computer Engineering PhD from UPC in Software Engineering Master's in Computing Research Interests: Focuses on sustainable AI practices, energy-efficient ML systems, and MLOps education. He investigates architectural design for green AI, energy labeling tools for ML models, and agile software development methodologies. His work bridges theoretical research and industrial applications, emphasizing data-driven decision-making. Grants & Collaborations: Leads projects like Green AI-Based Systems Architecture and Q-Rapids , funded by national and EU programs. Collaborates with institutions like Softeam and industry partners to apply software analytics in real-world scenarios. Labs & Teams: Coordinates the inSSIDE group, focusing on integrated software and data engineering. Active in organizing conferences like GREENS and ESEM , and co-develops tools like Skuld for technical debt management.

• Robotics
• Biomedical Engineering
• Rehabilitation Engineering
• +۳ مورد دیگر

Maria Dolores Blanco Rojas is a Full Professor and Deputy Director of the Systems and Automatic Engineering Department at Universidad Carlos III de Madrid (UC3M). Her research focuses on robotics and biomedical engineering, particularly in the development of soft robotic exoskeletons, shape memory alloy (SMA) actuators, and rehabilitation technologies. She leads the Robotics Lab and has contributed to over 100 peer-reviewed articles. Affiliations : UC3M, Robotics Lab, Systems Engineering and Automation Department Education : Not explicitly stated in text Her research interests include: Soft Robotics : Design of wearable exoskeletons for pediatric and post-stroke patients Materials Science : SMA-based actuators for medical and robotic applications Control Systems : Adaptive control algorithms for rehabilitation devices Biomedical Engineering : Integration of sEMG signals for gesture classification in assistive technologies Recent articles explore topics like hyperparameter optimization for machine learning models, SMA actuator efficiency, and eye-hand coordination assessment systems. Projects include the development of pediatric rehabilitation robots (Discover2Walk) and soft exoskeletons for ankle and wrist mobility. Grants/Projects : SRAR (2024–2027): Soft robotics for ankle rehabilitation STRIDE-UC3M (2022–2024): Pediatric exoskeleton validation Advising : Supervised theses on SMA actuators, soft exoskeletons, and rehabilitation systems Her lab develops novel sensors and actuators, including a silver-coated polyamide sensor and multi-wire SMA actuators for high-displacement applications. Collaborations include Airbus and TechnoFusión facilities.

Fernando Sánchez-Figueroaمشاهده پروفایل

استاد

• Software Engineering
• Big Data
• Business Intelligence
• +۳ مورد دیگر

Fernando Sánchez-Figueroa is a Full Professor at the University of Extremadura's Department of Computer Systems Engineering and Telematics. He is a co-founder of Homeria Open Solutions, a spin-off engaged in R&D projects under EU frameworks. His research focuses on Software Engineering, Machine Learning, Data Visualization, and Ambient Intelligence. He has authored over 50 scientific articles and led numerous R&D contracts with public and private entities. Key roles include: Academic: Full Professor at University of Extremadura Entrepreneur: Co-founder of Homeria Open Solutions Research: Participation in EU-funded projects and development of AI-driven solutions for healthcare, smart cities, and education Research Interests: Machine Learning applications in healthcare, predictive analytics for education, and sustainable smart city technologies. His work bridges theoretical advancements with practical implementations, such as medical image segmentation using SAM models and cost-efficient UAV systems. Publications: Recent works include decision support systems for employability analysis, zero-shot learning in medical imaging, and recommender systems for education. He emphasizes data-driven approaches and model-driven engineering in software development. Impact: Developed tools like CompareML for preliminary data analysis and LiveSankey for advanced web visualization. His contributions span academia and industry, addressing challenges in healthcare, urban sustainability, and educational technology.

Giovanni Compianiمشاهده پروفایل

دانشیار

• Industrial Organization
• Quantitative Marketing
• Econometrics
• +۶ مورد دیگر

Giovanni Compiani is an Associate Professor at the University of Chicago Booth School of Business, specializing in Marketing. His research bridges industrial organization and quantitative marketing, focusing on advanced econometric methods. PhD, MPhil, MA in Economics from Yale University BSc, MSc in Economics from Bocconi University Previous Assistant Professor at Haas School of Business His work explores unstructured data integration in demand estimation, consumer search behavior on online platforms, risk preferences in cryptocurrency markets, and time perception in behavioral economics. He has published in top journals including Journal of Political Economy , Marketing Science , and Review of Economic Studies . Recent publications emphasize machine learning applications in econometrics, equilibrium modeling of lotteries, and crypto mining's economic impact. His research portfolio spans demand analysis, structural modeling, and behavioral insights. Editor's Choice Award, The Review of Asset Pricing Studies (2024) Developed nonparametric demand estimation frameworks Advances dynamic model identification with instrumental variables Compiani teaches Data Science for Marketing Decision Making at Booth and maintains active collaborations with researchers across econometrics, computer science, and behavioral disciplines.

Piotr Przybyłaمشاهده پروفایل

استادیار

• Natural Language Processing
• Misinformation Detection
• Adversarial Attacks on Text Classifiers
• +۵ مورد دیگر

Piotr Przybyła is a tenure-track Assistant Professor at Universitat Pompeu Fabra in Barcelona, Spain, where he researches in the TALN (Natural Language Processing) Research Group. He maintains a significant affiliation with the Linguistic Engineering Group at the Institute of Computer Science, Polish Academy of Sciences (ICS PAS) in Warsaw, Poland, where he completed his PhD in Computer Science. Previously, he worked as a research fellow at the National Centre for Text Mining (NaCTeM) at the University of Manchester. Przybyła's research focuses primarily on Natural Language Processing with particular emphasis on misinformation detection, adversarial attacks on text classifiers, text simplification, and Polish language processing. His work bridges theoretical NLP with practical applications for credibility assessment and language understanding. He has developed innovative approaches for testing the robustness of text classifiers against adversarial examples and has made significant contributions to Polish language resources and processing tools. His recent publications demonstrate a strong trajectory in examining the robustness of NLP systems, particularly in the context of misinformation detection and credibility assessment. His work spans from foundational research on language model behavior to practical applications in Polish language processing and text simplification. The ERINIA project, funded by a prestigious Marie Skłodowska-Curie Postdoctoral Fellowship, represents a significant contribution to understanding how misinformation detection systems can be made more robust against adversarial attacks. Marie Skłodowska-Curie Postdoctoral Fellowship for the ERINIA project Computing grant of 10,000 hours on the Athena supercomputer for accelerating work in the ERINIA project Przybyła actively contributes to the NLP community through conference organization, shared tasks (such as coordinating the InCrediblAE shared task for CheckThat! 2024), and developing open-source tools like Plainifier for multi-word lexical simplification. His work demonstrates a commitment to both advancing NLP research methodology and addressing practical challenges in misinformation detection and language understanding across multiple languages, with special attention to Polish language processing.

Elisabet Romeroمشاهده پروفایل

پژوهشگر

• Artificial Photosynthesis
• Solar Energy Conversion
• Ultrafast Spectroscopy
• +۷ مورد دیگر

Dr. Elisabet Romero is a Group Leader at the Institute of Chemical Research of Catalonia (ICIQ) , where she leads research in bio-inspired solar energy conversion . Her work focuses on designing chromophore-protein assemblies capable of efficiently converting sunlight into electrochemical energy, mimicking natural photosynthesis. She is supported by prestigious grants, including an ERC Starting Grant and a Marie Curie Fellowship . Education: PhD in Biophysics, VU Amsterdam (2011) Master’s in Chemistry, Institute of Advanced Chemistry of Catalonia BSc in Chemistry (Physical Chemistry specialization), University of Barcelona (2003) Research Interests: Dr. Romero’s research lies at the intersection of physical chemistry, photophysics, and sustainable energy . She investigates the quantum mechanical principles underlying energy and electron transfer in photosynthetic systems, applying this knowledge to engineer artificial systems for solar fuel production. Her group uses ultrafast spectroscopy techniques like transient absorption and 2D electronic spectroscopy to probe femtosecond-scale dynamics. Publications & Research Trends: Her recent publications reflect a strong trend in de novo protein design for artificial light harvesting , excitonic coupling in chromophore systems , and quantum effects in biological energy transfer . Collaborative work with leading institutions highlights her role in advancing synthetic biology and quantum bio-inspired materials. Scientific Awards: European Research Council (ERC) Starting Grant Marie Curie Fellowship Advising and Grants: Dr. Romero mentors a dynamic team of PhD students, postdoctoral researchers, and master’s students . Her group has secured competitive funding from the ERC, Severo Ochoa Programme, and Marie Skłodowska-Curie Actions , supporting innovative research in renewable energy technologies. Labs and Teams: Her laboratory at ICIQ is equipped with state-of-the-art ultrafast spectroscopy facilities. The team fosters a collaborative and inclusive environment, combining rigorous scientific inquiry with social engagement and cultural exchange.

Mariano Cabezasمشاهده پروفایل

پژوهشگر

• computer vision
• medical imaging
• magnetic resonance imaging (MRI)
• +۵ مورد دیگر

Mariano Cabezas is a researcher in medical imaging and computer vision, currently affiliated with Macquarie University and as an affiliate at the University of Sydney . His work focuses on automating brain MRI analysis for pathologies like multiple sclerosis, Alzheimer's disease, and tumors, with additional contributions to UAV image analysis. PhD in Computer Science (2013), University of Girona MSc in Automation, Computation, and Systems (2010), University of Girona BSc in Computer Science (2009), University of Girona Research Interests : Specializes in magnetic resonance imaging , lesion detection , deep learning , and image processing , with applications in multiple sclerosis , hearing loss , and UAV-derived ecological data . His recent work includes federated learning frameworks for cross-site MS lesion segmentation and pseudo-labeling techniques for longitudinal brain volume estimation. Publication Trends : Over the past five years, his research has emphasized federated learning (4 articles), lesion segmentation (9 articles), and UAV image analysis (3 articles), with a strong focus on clinical validation and cross-institutional collaboration. Labs & Collaborations : Contributed to the NIC-VICOROB group at the University of Girona and maintains affiliations with the Research Institute of the Hospital Vall d'Hebron (VHIR) in Barcelona and Macquarie University in Sydney. Actively develops open-source tools hosted on GitHub.

Scott Nelsonمشاهده پروفایل

دانشیار

• Consumer Credit Markets
• Financial Regulation
• Information Asymmetry
• +۷ مورد دیگر

Scott Nelson is an Associate Professor of Finance at the University of Chicago Booth School of Business. His research bridges consumer credit markets, regulatory frameworks, and behavioral economics, with a focus on how information asymmetries and algorithmic decision-making shape market outcomes. He has contributed to understanding the impacts of the 2009 CARD Act, eviction protections in housing markets, and fairness in credit scoring systems. PhD in Economics, Massachusetts Institute of Technology BA (summa cum laude) in Economics and Mathematics, Yale College Nelson's work employs diverse data sources, including credit reports, court filings, and tax records, combined with structural models to analyze consumer and firm behavior. Key themes include regulatory efficiency, validity disparities in predictive models, and the welfare implications of policy interventions. His articles reveal trends in algorithmic regulation (2025), eviction dynamics (2025), credit scoring disparities (2024), and public finance impacts on Chinese real estate (2023). These publications highlight interdisciplinary methodologies integrating economics, law, and data science. Scientific awards include the AQR Top Finance Graduate Award (2018) and National Science Foundation Graduate Research Fellowship. He has held postdoctoral roles at the Consumer Financial Protection Bureau/Princeton University and visiting research positions at the Federal Reserve Bank of Boston.

Ana Andrés Payánمشاهده پروفایل

مدرس

• Sustainable Environmental Management
• Hazardous Waste Management
• Marine Sediments Remediation
• +۴ مورد دیگر

Ana Andrés Payán is a Lecturer in Chemical Engineering at the University of Cantabria, Spain. Her research focuses on Sustainable Environmental Management of hazardous wastes and marine sediments, with contributions to the development of eco-efficient construction materials using industrial byproducts. She has collaborated on R+D projects at European and national levels, emphasizing both academic and industrial partnerships. Since 1992, she has taught Chemical, Industrial, and Marine Engineering courses at the undergraduate level and contributed to postgraduate programs with quality awards. Her work integrates environmental toxicology, materials science, and waste management to address sustainability challenges. Key research areas include recycling industrial byproducts into construction materials (e.g., slag, fly ash), assessing ecotoxicological impacts via bioassays (luminescent bacteria, sea urchin embryogenesis), and optimizing waste management strategies through multi-criteria analysis. She emphasizes circular economy principles and collaboration with industry to achieve sustainable outcomes. Her publications (2025–2021) highlight innovation in alkali-activated binders, eco-toxicity testing, and material durability. No scientific awards are listed, but her work has been applied in regional planning and industrial ecology initiatives. She leads research in the GER group , focusing on environmental and materials science applications.

• Computational Neuroscience
• Spacetime Connectomics
• Neurotwin Models
• +۵ مورد دیگر

Jakub Vohryzek is a postdoctoral researcher at the Computational Neuroscience (CNS) Group at University Pompeu Fabra in Barcelona, supervised by Prof. Gustavo Deco. His work focuses on spacetime connectomics and whole-brain modeling, particularly in neurodegenerative disorders and psychedelic neuroscience. He holds a DPhil from the University of Oxford, where he studied under Prof. Morten Kringelbach. Research Interests: Spacetime connectomics Psychedelic-induced brain state transitions Neurotwin models for personalized medicine Cognitive and clinical applications of whole-brain dynamics Current projects include developing neurotwin models under a European grant for neurodegenerative treatments, investigating brain state dynamics in mindfulness therapy, and modeling psychedelic effects on Alzheimer’s disease. His recent work emphasizes low-dimensional brain network interactions and functional hierarchy perturbations. His research has explored connectivity profiles, oscillatory restoration in dementia, and algorithmic agent approaches to neuropsychiatric disorders. He collaborates on open-science initiatives like Brainhack and advocates for inclusive conference design.

• Precision Agriculture
• Optical Engineering
• Remote Sensing
• +۳ مورد دیگر

Dr. Jose Manuel Sánchez Peña is a Full Professor at Universidad Carlos III de Madrid (UC3M), affiliated with the Grupo Universitario de Tecnologías de Identificación (GUTI). His research focuses on precision agriculture technologies, optoelectronics, and neuroscientific interfaces. He leads projects on drone-based crop monitoring, renewable energy systems, and machine learning applications in environmental science. Key research areas include: UAV remote sensing for water stress and weed management in viticulture and maize Optical communication systems leveraging photovoltaic integration Machine learning models for precision agriculture Neuroscientific studies on multisensory emotion elicitation Publishing trends show strong focus on: Drone technology advancements (42% of recent articles) Optoelectronics and VLC systems (28% of recent articles) Neuroscience applications (15% of recent articles) Sustainable agricultural practices (12% of recent articles) Laboratory activities center around GUTI's interdisciplinary teams working at the intersection of engineering, agriculture, and neurotechnology.

Sonia Vanierمشاهده پروفایل

استاد

• Artificial Intelligence
• Operations Research
• Network Optimization
• +۴ مورد دیگر

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.

Mateo Valero Cortésمشاهده پروفایل

استاد

• Computer Architecture
• High-Performance Computing
• Parallel Computing
• +۳ مورد دیگر

Mateo Valero Cortés is a renowned Professor of Computer Architecture at the Polytechnic University of Catalonia and Director of the Barcelona Supercomputing Center (BSC). He has held academic and leadership roles since 1974, advancing high-performance computing (HPC) and computer architecture research. His work includes pioneering contributions to vector architectures, multithreading, and instruction-level parallelism. Education includes a Telecommunications Engineering degree from the Polytechnic University of Madrid (1974) and a PhD in Telecommunications Engineering from the Polytechnic University of Catalonia (1980). His research spans over 700 publications, focusing on HPC systems, parallel computing, and supercomputing infrastructure. Key research interests include vector processing, super-scalar processors, and task-based programming models. Recent work emphasizes scalable architectures for exascale computing and energy-efficient hardware-software co-design. Notable achievements include the Eckert-Mauchly Prize (highest in computer architecture), Seymour Cray Award, and Charles Babbage Prize. He has led initiatives like the Spanish Supercomputing Network (RES) and PRACE (European HPC partnership). Academic affiliations include the Royal Academy of Engineering of Spain, ACM Fellow, and IEEE Fellow. He has received 13 honorary doctorates and awards such as Mexico’s Order of the Aztec Eagle. Current projects include the Mont-Blanc HPC prototype and ERC-funded research on multi-core chip design. His BSC oversees over 300 researchers and manages MareNostrum supercomputers.

Gagandeep Singhمشاهده پروفایل

استادیار

• Machine Learning
• Formal Methods
• Artificial Intelligence
• +۶ مورد دیگر

Gagandeep Singh is a tenure-track Assistant Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign (UIUC). His work focuses on creating intelligent computing systems with formal guarantees about behavior and safety, integrating Machine Learning, Formal Methods, and Systems research. Affiliation: University of Illinois at Urbana-Champaign; VMware Research Research Interests: Formal Methods, Machine Learning, Artificial Intelligence, Programming Languages, Neural Network Verification, Automatic Differentiation His research emphasizes scalable verification techniques for neural networks, abstract interpretation, and systems integration. Recent work trends include applying formal methods to ensure safety in deep learning models and optimizing numerical analysis through domain decomposition and convex hull approximations. He contributes to academic communities as a committee member in conferences like POPL, VMCAI, PLDI, and SAS, while authoring key publications in top venues such as POPL, PLDI, OOPSLA, and SAS.

• Wireless Networking
• Machine Learning
• Wi-Fi Systems
• +۵ مورد دیگر

Boris Bellalta is a Full Professor at Universitat Pompeu Fabra (UPF) in Barcelona, Spain, where he leads the Wireless Networking research group within the Department of Information and Communication Technologies (DTIC). As an ICREA Academia awardee, he holds a prestigious recognition for research excellence in Catalonia. His academic role includes teaching courses in Queueing Models, Machine Learning, and Wireless Networking. His research focuses on next-generation Wi-Fi systems, particularly IEEE 802.11 standards evolution (Wi-Fi 7/8), with emphasis on Multi-Link Operation (MLO), spatial reuse optimization, and machine learning applications for wireless networks. Recent work explores virtual reality streaming over Wi-Fi, multi-AP coordination, and AI/ML-native network architectures. His publication record shows consistent output with 22 papers in 2024 and 9 papers already in 2025, demonstrating active research leadership. His recent publications reveal a strong trend toward integrating machine learning with wireless protocols, particularly for spatial reuse optimization in next-generation Wi-Fi standards. Key research areas include IEEE 802.11be (Wi-Fi 7) and IEEE 802.11bn (Wi-Fi 8), with significant focus on multi-AP coordination, low-latency communications for VR/XR applications, and federated learning approaches for decentralized network optimization. His work bridges theoretical modeling with practical implementation, often including experimental validation. Scientific Awards: ICREA Academia awardee (prestigious Catalan research recognition) As Principal Investigator, Bellalta leads multiple significant research projects including the EU MAX-R project, MLDR Chist-era project, and Wi-XR PGC2021 project. His research group has established collaborations across European institutions, with frequent co-authorship patterns indicating strong team leadership. While specific student names aren't listed in the provided materials, his numerous publications with junior researchers suggest active mentoring. The Wireless Networking research group under his leadership maintains strong industry relevance, with research directly applicable to emerging Wi-Fi standards and next-generation wireless applications, particularly in the virtual reality and low-latency communications domains.