جست‌وجوی استاد و پژوهشگر

• Privacy
• Security
• Algorithmic Accountability
• +۵ مورد دیگر

Bogdan Kulynych is a research scientist at Lausanne University Hospital in Switzerland, working within the Clinical Data Science group. He holds a Ph.D. in Computer Science from EPFL (Switzerland), where he was advised by Carmela Troncoso, and a B.Sc. in Applied Mathematics from Kyiv Mohyla Academy in Ukraine. His academic journey also includes a visiting fellowship at Harvard University with Flavio du Pin Calmon, and internships at Google and CERN. His research spans three interconnected domains: Algorithmic Accountability, Verification, and Reliability; Privacy-Preserving Learning and Statistics; and Algorithmic Systems in Healthcare. Kulynych develops methods for obtaining practical guarantees on model stability, robustness, and reliability, while also auditing these properties. His privacy work focuses on systems ensuring practical privacy guarantees with legally legible and interpretable operational risk analyses. In healthcare, he critically studies algorithmic system deployment in clinical practice through collaboration with clinicians and medical informatics practitioners. Kulynych's publication record demonstrates significant impact in top venues including NeurIPS, ICML, ICLR, FAccT, and PETS. His recent work addresses fundamental questions in differential privacy, operational privacy metrics, and healthcare AI applications. His research trend shows increasing focus on translating theoretical privacy guarantees into practical healthcare settings while addressing the social implications of algorithmic systems. Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy (NeurIPS 2025) (ε,δ) Considered Harmful: Best Practices for Reporting Differential Privacy Guarantees (2025) Attack-Aware Noise Calibration for Differential Privacy (NeurIPS 2024) As an active member of the academic community, Kulynych regularly presents at major conferences and seminars, including recent talks at Harvard Privacy Tools Seminar, NeurIPS, and Imperial College London. His work has received media attention in The Guardian, Wired, The Verge, and CNET regarding algorithmic bias challenges. Kulynych maintains an active presence on Bluesky (@bogdankulynych) where he engages in critical discussions about AI ethics, privacy, and the societal implications of technology.

MARIA CRUZ NEGREIRA REYمشاهده پروفایل

استادیار

• Digital Communication
• Journalism Studies
• Media Innovation
• +۶ مورد دیگر

Maria Cruz Negreira Rey is an Assistant Professor at the Department of Communication Sciences, Faculty of Communication Sciences, University of Santiago de Compostela. She is affiliated with the Institute of Studies and Development of Galicia (IDEGA). Her research focuses on digital media innovation, hyperlocal journalism, and the intersection of technology with news production. She holds a Doctorate (2020) from the same university, with a thesis on hyperlocal cybermedia in Spain, supervised by Dr. Xosé López García. Her academic work emphasizes the transformation of journalism in the digital age, particularly exploring AI integration in communication sectors, audience-driven journalism, and challenges posed by news deserts. Key research areas include media geography, risk communication (e.g., radon gas reporting), and the adaptation of journalism to platforms like TikTok and Twitch. She has also studied comparative models of hyperlocal media in Spain and the Netherlands, and the role of digital native media in societal communication. Her publications highlight trends such as the blurring boundaries between traditional journalism and citizen-generated content, the ethical implications of AI in media, and the strategic reinvention of local journalism in the face of technological disruption. While no formal awards are listed, her prolific output reflects significant contributions to media studies and communication science. Her research extends to media labs, innovation in public service broadcasting, and the sociability functions of online media networks. She collaborates on projects mapping media landscapes, such as Galicia’s digital media ecosystem, and analyzing the impact of instant messaging platforms like WhatsApp in news dissemination.

Pooran Memariمشاهده پروفایل

پژوهشگر

• Geometric Modeling
• Computer Graphics
• Computational Geometry
• +۵ مورد دیگر

Pooran Memari is a CNRS Researcher at the Laboratoire d'Informatique de l'École Polytechnique (LIX), UMR CNRS 7161, Institut Polytechnique de Paris, and an Affiliate Professor (part-time) at École Polytechnique. She leads research in geometric modeling within the GeomeriX team at LIX-Inria, focusing on theoretical foundations and applications in accessibility and neurocognition. Her academic journey includes: HDR (Habilitation à diriger des recherches), Institut Polytechnique de Paris, 2024 Ph.D. in Geometric Modeling, INRIA Sophia-Antipolis, 2010 Master in Image and Geometry, University of Nice-Sophia Antipolis, 2006 Engineering Degree, École Polytechnique, 2005 Bachelor in Mathematics, Sharif University of Technology, 2002 Dr. Memari's research bridges geometric modeling, computational geometry, and computer graphics with real-world impact. She pioneers techniques in shape representation, point pattern synthesis, and surface reconstruction, advancing proximity encoding and clustering algorithms. Her work extends to accessibility applications—developing geometric models for visually impaired navigation through multisensory perception—and neurocognition validation via tactile interfaces. This interdisciplinary approach integrates theoretical rigor with practical tools like the CGAL library. Recent publications (2024-2019) reveal a cohesive trajectory in geometric processing: advancing point pattern synthesis through image-based editing (Patternshop), stability-incorporated neighborhood graphs (SING), and multi-class disk distributions; innovating surface reconstruction via Voronoi-based methods (BallMerge); and expanding applications to virtual worlds simulation and neurocognitive accessibility. Key themes include bridging discrete geometry operators with high-dimensional data analysis and translating theoretical insights into tools for visual computing. Dr. Memari actively mentors the next generation of researchers, advising eight PhD students on topics ranging from generalized Voronoi diagrams to neurocognition-driven tactile navigation. She coordinates Computer Science Projects for École Polytechnique's Bachelor program since 2019 and co-leads the Interaction, Graphics & Design master's program at IP-Paris. Her leadership extends to editorial roles at Computer Graphics Forum and Graphical Models Journal, alongside prominent conference positions including SGP Program Co-Chair (2023) and Eurographics STARs Co-Chair (2025). As a core GeomeriX team member, she drives collaborative projects in geometric modeling and virtual environments. She coordinates the LIX Seminar since May 2025 and serves on the French Eurographics Chapter board, fostering community engagement through initiatives like the IGD master's program and Eurographics symposia.

• Computer Architecture
• Programming Models
• Parallel Computing
• +۴ مورد دیگر

Daniel Jimenez Gonzalez is a faculty member at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Computer Architecture within the School of Informatics (FIB). He is an active researcher in programming models and high-performance computing, contributing extensively to the field through publications, projects, and academic supervision. Research Interests: His work focuses on Computer Architecture , Programming Models , and Parallel Computing . He investigates task-based programming, runtime systems, compiler optimizations, and performance modeling for multi-core and heterogeneous architectures. His research addresses challenges in scalability, energy efficiency, and resilience in modern computing environments. His recent publications show a consistent trend in task-based programming models , runtime scheduling , and performance optimization across diverse architectures, including NUMA and GPU-accelerated systems. The work spans from theoretical modeling to practical implementation, often targeting real-world HPC applications. Scientific Awards: No awards explicitly mentioned in the provided text. Advising and Grants: While specific students are not listed, his involvement in doctoral theses and R&D projects suggests an active role in mentoring graduate students. He has participated in both competitive and non-competitive R&D+i projects, indicating grant acquisition and project leadership experience in areas related to programming models and computer architecture. Labs and Teams: He is a member of the UPC PM - Programming Models research group, which focuses on the design, analysis, and optimization of modern programming paradigms for high-performance systems.

• Machine Learning
• Artificial Intelligence
• Data-Driven Decisions
• +۴ مورد دیگر

Jose A. Rodriguez Serrano is a Senior Lecturer at the Department of Operations, Innovation and Data Sciences within the Esade Business School. He is affiliated with the Institute for Data-Driven Decisions (ESADE D3), a research group focusing on leveraging data science for strategic decision-making. His work contributes to the UN Sustainable Development Goals, particularly in areas involving technology and equitable access to services. Dr. Rodriguez Serrano's research expertise spans Machine Learning, Deep Learning, and their applications in finance, healthcare, and real estate. He explores topics like generative AI for financial modeling, explainable AI in real estate valuation, and deep learning techniques for healthcare fraud detection. His contributions include developing non-crossing quantile models and attention-based learning systems. He is a core member of the ESADE D3 research group (2022–2025), funded by the Agència de Gestió d'Ajuts Universitaris i de Recerca (AGAUR). This project integrates interdisciplinary approaches to advance data-driven methodologies in business and public policy. His work has been published in prestigious venues like the ACM SIGKDD Conference and the Annals of Operations Research, with over 700 citations and an h-index of 13. His research collaborations span global institutions, focusing on applying machine learning to solve complex problems in healthcare, finance, and real estate valuation. Notable outputs include prototypes for real estate price prediction and deep learning models to detect malpractices in healthcare sectors.

• Optical Networking
• Artificial Intelligence in Networking
• 5G and 6G Networks
• +۹ مورد دیگر

Davide Careglio is a Professor at the Department of Computer Architecture, Faculty of Computer Science of Barcelona (FIB), Universitat Politècnica de Catalunya (UPC). He is a principal researcher in the CBA - Broadband Communication Systems and Architectures group and the IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Group. Academic Rank: Professor Department: Department of Computer Architecture School: Faculty of Computer Science of Barcelona University: Universitat Politècnica de Catalunya Email: davide.careglio@upc.edu His research focuses on next-generation networking technologies, particularly in the domains of 5G/6G, AI-driven network automation, optical and elastic networks, energy efficiency, and the Recursive Internetwork Architecture (RINA). His work integrates machine learning and artificial intelligence to enhance network performance, security, and sustainability. He has made significant contributions to multicast routing, QoS assurance in RINA networks, and delay modeling in multidomain environments. The recent publications highlight a strong trend toward integrating AI and machine learning into network control, particularly for 6G services and secure distributed AI. His work spans modeling, simulation, and real-world experimentation, with applications in smart buildings, vehicular networks, and telecom infrastructure. Key themes include latency estimation, energy optimization, network programmability, and time-sensitive networking. Davide Careglio has been involved in prestigious EU-funded projects such as HORIZON 2020 and HORIZON EUROPE, including initiatives like ALLIANCE, SUNSET, and PRADIOT. He has also contributed to the Erasmus+ HEDY project, focusing on AI in education. He has advised PhD students, including D. Sembroiz, whose thesis focused on smart building IoT platforms. He actively collaborates with leading researchers such as Luis Velasco, Josep Solé-Pareta, and Salvatore Spadaro. He serves on the scientific committees of major conferences including IEEE GLOBECOM, IEEE ICC, and ICTON. He is a member of the CBA and IDEAI-UPC research groups at UPC, which are at the forefront of innovation in optical networking, AI for networks, and sustainable telecom infrastructures. These groups lead projects in programmable, knowledge-defined, and self-managed networks.

Oscar Romero Moralمشاهده پروفایل

استاد

• Data Management
• Data Science
• Data Governance
• +۷ مورد دیگر

Oscar Romero Moral is a Professor at the Polytechnic University of Catalonia (UPC), affiliated with the Department of Services and Information Systems Engineering at the Barcelona School of Informatics (FIB). He leads research in the inSSIDE, inLab FIB, and DTIM groups, focusing on data management, data science, and big data technologies. His work emphasizes knowledge graphs, data governance, and machine learning integration with data systems. Affiliations: UPC, inSSIDE, inLab FIB, DTIM Group Research Interests: Data Management, Data Engineering, Big Data, Knowledge Graphs, Data Governance, Machine Learning Integration He has authored over 276 academic contributions, including peer-reviewed articles on federated healthcare data systems, GPU-accelerated workflows, and graph-driven data integration. His recent work addresses challenges in heterogeneous computing, automated data governance, and scalable data architectures. Romero has served on the program committees of major conferences like VLDB, ICDE, and EDBT, and led competitive research projects in data systems and analytics. He collaborates extensively with industry partners and academic institutions, driving innovations in distributed data management and edge computing.

Oriol Guasch Fortunyمشاهده پروفایل

استاد

• Computational Acoustics
• Aeroacoustics
• Graph Theory in Vibroacoustics
• +۳ مورد دیگر

Oriol Guasch Fortuny is Full Professor at the Department of Engineering, La Salle, Ramon Llull University in Barcelona, specializing in computational acoustics and aeroacoustics. He holds a five-year Physics degree from Universitat de Barcelona and a PhD in Computational Mechanics from UPC. His research spans acoustic black holes , graph theory in vibroacoustics, parametric array technology , and numerical voice production . Current projects: GENIOVOX (expressive voice generation), EUNISON (voice simulation) Editorial roles: Subject Editor , Journal of Sound and Vibration Leadership: Heads acoustics research in the GTM group His 15 most recent publications focus on acoustic black hole applications in vibration control, parametric loudspeaker optimization , and chaotic vocal fold modeling . Work combines finite element analysis with theoretical acoustics . Collaborations include: CIMNE (UPC, Barcelona) GIPSA-LAB (Grenoble, France) INSA Lyon (France) Northwestern Polytechnical University (Xi’an, China) KTH Stockholm (Sweden) Patents: NºU-201230809: Horn amplifier for parametric arrays Nº201230043: Omnidirectional ultrasonic sound source

Frank Piessensمشاهده پروفایل

استاد

• Software Security
• System Security
• Formal Methods
• +۲ مورد دیگر

Frank Piessens is a Professor in the Department of Computer Science at Katholieke Universiteit Leuven (Belgium). His work bridges software security, systems security, formal methods, and programming languages. He actively investigates information flow security, with a dual focus on attack techniques and defense mechanisms. Current role: Professor at KU Leuven (Belgium) Research areas: Software Security, System Security, Formal Verification, Programming Languages Research Interests: His defense work includes formal verification for C-like languages, memory safety hardening, micro-architectural side-channel mitigation, and embedded security architectures. On the attack side, he studies transient execution attacks, memory safety exploits, and controlled channel attacks. Recent Article Trends: His publications span secure compilation techniques (2025), control-flow linearization (2024), functional reactive programming (2021-2014), formal verification (2020-2016), and hardware/software co-design security (2022). Keywords cluster around Computer Science , Security , and Programming Languages .

Marta Ariasمشاهده پروفایل

دانشیار

• Machine Learning
• Data Mining
• Design and Analysis of Algorithms
• +۳ مورد دیگر

Marta Arias is an Associate Professor in the Computer Science Department at Universitat Politècnica de Catalunya (UPC), Barcelona, and a member of the LARCA research group. She has held academic positions since 2007, including roles at Columbia University and the University of Edinburgh. Her research focuses on Machine Learning, Data Mining, Algorithm Design, and Logic in Computer Science. She teaches advanced courses in Machine Learning, Information Retrieval, and Complex Networks at undergraduate and master's levels, including the Erasmus Mundus program in Data Mining and Knowledge Management. Educations: PhD in Computer Science from Tufts University (2000-2004), Postgraduate Studies at University of Edinburgh (1999-2000), B.Sc. in Computer Science from UPC (1992-1997). Professional experience includes software engineering and research roles in New York and Barcelona. Research highlights include developing algorithms for real-time ranking systems, Twitter-based financial forecasting, and causal network analysis. Notable contributions include the 'Best Paper Award' at AIPESW@ECAI 2020 and a 3rd place award in football performance research. Her work spans theoretical foundations (e.g., Horn clause learning) and applied domains like cybersecurity, healthcare analytics, and energy systems. Teaching responsibilities include labs and lectures on Machine Learning, Information Retrieval, and Programming, with active involvement in curriculum design and pedagogical innovation. Ongoing projects include enterprise risk analysis, synthetic data generation, and network modeling.

• Optical Fiber Technology
• 5G and 6G Networks
• Telecommunications
• +۵ مورد دیگر

Dr. David Ricardo Sánchez Montero is an Associate Professor in the Department of Electronic Technology at the University Carlos III of Madrid. He serves as the Secretary of the Department and specializes in advanced optical fiber technologies with applications in telecommunications, aerospace, and renewable energy systems. His research focuses on Radio-over-Fiber systems, 5G/6G network infrastructure, power-over-fiber implementations, and sensor networks using polymer optical fibers. Education and professional background include expertise across multiple disciplines such as electronics, industrial engineering, and materials science. Key research areas involve optimizing fiber optic deployments for next-generation networks, analyzing signal integrity in 5G fronthaul scenarios, and developing energy-efficient solutions for telecommunication systems. Publications highlight contributions to multicore fiber designs, power delivery over optical links, and sensor applications in aerospace environments. His work bridges theoretical advancements with practical implementations in emerging technologies like 5G and IoT connectivity. Active in collaborative projects and academic activities, he maintains a research group within the Displays and Photonic Applications Group at UC3M.

• Plasma Propulsion
• Electric Propulsion
• Spacecraft Engineering
• +۳ مورد دیگر

Eduardo Antonio Ahedo Galilea is a Full Professor in the Department of Aerospace Engineering at Universidad Carlos III de Madrid (UC3M), leading the Plasmas and Space Propulsion Team (EP2). His research focuses on plasma propulsion systems, particularly Hall thrusters, magnetic nozzles, and helicon plasma thrusters, with expertise in plasma dynamics, wave-plasma interaction, and spacecraft-plume effects. Current projects: MLPLUS-CM (2025-2028), PROPULSION ELECTROMAGNETICA POR EFECTO HALL (2023-2026) International collaborations: European Commission, Airbus Defense and Space, SENER His recent publications analyze non-stationary plasma expansions, electron cooling mechanisms, and magnetic nozzle physics across multiple thruster designs. He supervises theses on turbulent transport, wave-plasma interaction, and fluid-kinetic thruster modeling. Grants include funding from the European Commission Research Executive Agency, Agencia Estatal de Investigación (AEI), and regional programs like RIS3-CAM.

Roberto Rosal Garcíaمشاهده پروفایل

استاد

• Environmental Chemistry
• Chemical Engineering
• Microplastics and Nanoplastics
• +۷ مورد دیگر

Roberto Rosal García is a Professor of Chemical Engineering at the University of Alcalá , Spain. He holds a doctorate from the University of Oviedo and is affiliated with the Department of Analytical Chemistry, Physical Chemistry, and Chemical Engineering . His research focuses on environmental distribution and impact of microplastics, nanoplastics, and anthropogenic pollutants. He leads projects on water treatment technologies, including advanced oxidation processes and nanomaterial-based solutions for pollution remediation. Education: PhD in Chemical Engineering from Universidad de Oviedo (1991), thesis: Hidrogenación de aceite de antraceno y su empleo en la licuefacción de carbón . Research Interests: Environmental Chemistry, Chemical Engineering, Microplastic Degradation, Ecotoxicology, Nanomaterials for Water Treatment, and Sustainable Pollution Control. His work emphasizes developing novel methods to assess and mitigate microplastic toxicity in aquatic environments and improving wastewater purification through photocatalytic technologies. Recent Research Trends: His articles address nanoplastic generation methods, toxicity assessments, and atmospheric microplastic monitoring. He investigates bioindicator species (e.g., birds) for tracking pollution and evaluates advanced materials like metal-organic frameworks for nanoplastic removal. Collaborations include interdisciplinary projects on biodegradable plastics and circular economy solutions. Grants & Projects: Coordinator of Plastics Monitoring, Detection, Remediation, and Recovery (PRIORITY) (2021-2025). Member of the Thematic Network of Micro- and Nanoplastics in the Environment (2021-2025). Co-investigator in Bioplastics for Sustainable Agriculture (2021-2024). Teams & Labs: Leads a research group in environmental engineering at the University of Alcalá, collaborating with institutions globally on microplastic pollution and remediation strategies.

• Internet of Things (IoT)
• Smart Grids
• Digital Twins
• +۵ مورد دیگر

Víctor Caballero Codina is an Assistant Professor at the Digital Engineering School (Ramon Llull University), where he contributes to the Engineering Department. His work bridges academic research with industrial applications, focusing on Industry 4.0 , Internet of Things (IoT) , and Smart Energy Systems . Active projects include EXCEL4HOUSING4.0 (European Commission, 2025-2029) for vocational excellence in sustainable housing Developed the ClassroomMate IoT solution (2023-2024) to enhance educational environments Lead PI for the Smart Campus 2 initiative (2021) prioritizing sustainable well-being His research spans Digital Twins , Ontology-Driven Architectures , and Prosumer Energy Communities , with 8 indexed publications and 250+ Scopus citations. Collaborations extend to Spain and international institutions, emphasizing Smart Cities and Renewable Energy . While no specific awards are listed, his work has garnered 150+ citations for digital twin sustainability studies and 24+ for energy community research.

Ian Dew-Beckerمشاهده پروفایل

دانشیار مدعو

• Asset Pricing
• Macroeconomics
• Uncertainty
• +۴ مورد دیگر

Ian Dew-Becker serves as an Adjunct Associate Professor of Finance at the University of Chicago Booth School of Business and as a Senior Economist at the Federal Reserve Bank of Chicago. His academic work centers on theoretical and empirical asset pricing and macroeconomics, with particular emphasis on uncertainty, skewness, and tail risk in economic systems. He received his PhD in economics from Harvard University and has held prior positions at Northwestern University, Duke University, and the Federal Reserve Bank of San Francisco. His educational background includes: PhD in Economics, Harvard University Dew-Becker's research explores how agents form beliefs about economic fundamentals and how these beliefs translate into asset prices and macroeconomic outcomes. He investigates the dynamics of uncertainty and skewness across business cycles, develops novel measures using options data, and examines how production networks propagate economic shocks. His work demonstrates that firm-level uncertainty does not significantly forecast aggregate output, challenging existing models, while revealing how interconnectedness can reduce sensitivity to small shocks while amplifying vulnerability to large ones. Recent studies focus on real-time skewness measurement and tail risk transmission through input-output structures. Analysis of his publication record shows a consistent focus on risk measurement and pricing across financial and macroeconomic domains. Collaborating frequently with Stefano Giglio, he has pioneered methodologies using options data to construct cross-sectional uncertainty indices and measure conditional skewness. His research demonstrates that while exchange-traded options earn negative alphas implying rising risk aversion during downturns, synthetic options show constant risk aversion, suggesting intermediary frictions drive pricing anomalies. Key contributions include establishing empirical regularities about macro skewness and demonstrating how production networks generate left-skewed economic activity. No scientific awards were mentioned in the available information. Information regarding graduate student advising, research grants, or specific funding sources was not provided in the source materials. Dew-Becker teaches the Investments course at Chicago Booth during Autumn quarters but no details about mentored students or grant-supported projects are available. Dr. Dew-Becker actively collaborates with researchers across institutions including Stefano Giglio (Yale University), Andrea Vedolin (London School of Economics), and Bryan Kelly (Yale University), forming a network focused on financial economics and macro-finance linkages. His work bridges theoretical modeling with empirical analysis of market data, particularly options markets, to address fundamental questions about risk and uncertainty in economic systems.