جستجوی استاد راهنمای دانشگاهی

Danfeng Zhangمشاهده پروفایل

استاد

• Programming Languages
• Security
• Differential Privacy
• +۵ مورد دیگر

Danfeng Zhang is a faculty member at Duke University whose research sits at the intersection of programming languages and security. Active across the premier PL conferences since 2015, Zhang has served on more than two-dozen program committees and currently co-chairs the POPL Student Research Competition. Education & Affiliation: Home page: users.cs.duke.edu/~dz132 Affiliation: Duke University, United States Research Interests: Zhang’s work spans programming-language design, static and dynamic analysis, formal verification, and security. A recurring theme is developing language-based techniques that guarantee strong security and privacy properties—ranging from side-channel resistance and constant-time execution to differential-privacy proofs—while preserving performance and usability. His recent projects combine type systems, program logics, and automated reasoning to build practical verification tools for concurrent, speculative, and approximate software. Publication Trends: Across nine representative papers (2015-2024) Zhang has advanced static detection of cache side channels, automated proofs of differential privacy, and relaxed concurrency models. The trajectory shows deepening integration of security concerns into language infrastructure, with tool-building (CtChecker, SpecSafe, LightDP) that bridge formal guarantees and real-world systems. Service & Leadership: 2024 POPL Student Research Competition Co-Chair 2025 POPL Program Committee member Repeated reviewer/PC member: PLDI, SPLASH/OOPSLA, ISSTA, ECOOP, APLAS, PriSC, PASS Zhang regularly mentors student researchers through SRC sessions and workshop panels, fostering diversity and early-career participation in the programming-languages community.

• Procedural Law
• Criminal Procedure
• Chain of Custody
• +۳ مورد دیگر

Andrea Jamardo Lorenzo is an Assistant Professor at the University of León , affiliated with the School of Law and working within the Department of Public Law . Her research focuses on Procedural Law , with particular emphasis on Chain of Custody mechanisms, Technology in Law , and Legal Education innovations. Education : PhD in Law from the University of León (2023), thesis titled La cadena de custodia: análisis sistemático , supervised by Dr. Piedad González Granda. Her research explores the legal configuration and technological evolution of chain of custody systems in both national and European contexts. She investigates how digital evidence handling , AI applications , and cybersecurity protocols impact judicial integrity and procedural guarantees. Recent work also addresses pedagogical methods like flipped classrooms and role-playing in legal education. Analysis of her publications reveals trends in criminal procedure reforms , comparative chain of custody models (Spain vs. US), and ethical implications of legal technology . While no scientific awards are documented, her work contributes to debates on judicial efficiency , fundamental rights , and data protection in criminal contexts.

Mireia Artigot Golobardesمشاهده پروفایل

دانشیار

• Law and Economics
• Contract Law
• Consumer Protection
• +۷ مورد دیگر

Mireia Artigot Golobardes is an Associate Professor of Civil Law at the Faculty of Law, Pompeu Fabra University, where she holds a Ramón y Cajal research fellowship. She is admitted to the bar in both New York and Barcelona and previously clerked for Hon. Edwin H. Stern at the New Jersey Appellate Division. Her interdisciplinary research examines private law through economic lenses, with specializations in contract law, consumer protection, and digital market regulation. Education: JSD & LLM, Cornell Law School Law Degree & BA Economics, Pompeu Fabra University BA Music, Conservatory of Barcelona Research Focus: Her work investigates algorithmic decision-making in consumer transactions, AI's impact on fundamental rights, sustainability in contract law, and regulatory frameworks for digital markets. She leads significant projects including: JuLIA (Justice, Fundamental Rights and AI) - EU-funded judicial training program AlgorithmLaw - Examining algorithmic transparency in legal norms iConsumers - Studying digital market impacts on consumer rights Publications: Her scholarly output demonstrates consistent focus on law-economics-technology intersections. Recent works examine algorithmic personalization in consumer contracts (2022), sustainability challenges in market regulation (2024), and limitations of data protection frameworks (2021). The publications show progressive engagement with emerging digital law challenges. Awards & Honors: Ramón y Cajal Research Fellowship (Spain's prestigious research award) Professional Activities: She maintains international connections through visiting professorships at Brooklyn Law School, University of Kassel, University of Trento, and research visits to NYU and University of Western Cape. She serves as Teaching Fellow for the Europaeum Program at Oxford University and is affiliated with UPF's Center for Studies in AI and Natural Intelligence.

Abolfazl Simorghمشاهده پروفایل

پژوهشگر

• Aircraft Trajectory Optimization
• Climate Change Mitigation in Aviation
• Robust Control
• +۳ مورد دیگر

Abolfazl Simorgh is a researcher at Charles III University of Madrid's Department of Aerospace Engineering, specializing in climate-optimized aviation systems. His work bridges mathematical control theory with practical climate impact mitigation, focusing on robust trajectory optimization under environmental and operational uncertainties. He leads development of open-source tools for sustainable flight planning while contributing to major European aviation initiatives. Education: B.Sc. in Control Engineering (2017) M.Sc. in Control Engineering (2020) Ph.D. in Aerospace Engineering from Charles III University of Madrid Dr. Simorgh's research centers on developing mathematical frameworks that reconcile aircraft trajectory optimization with climate impact reduction. His expertise spans robust control systems, optimization under uncertainty, and climate modeling integration, with particular emphasis on non-CO₂ emissions. His methodology addresses both CO₂ and non-CO₂ climate forcing mechanisms through computationally efficient algorithms that account for weather variability and climate metric uncertainties. This work directly supports aviation's decarbonization by providing operational strategies that reduce environmental footprint without prohibitive cost increases. Analysis of his 15 most recent publications reveals a cohesive research trajectory focused on operationalizing climate-optimal flight planning. His work consistently integrates climate science with aerospace engineering through robust optimization frameworks, demonstrating particular innovation in handling multiple uncertainty sources (weather, climate models, emissions). The publications cluster around three interconnected themes: 1) Development of open-source computational tools (ROOST, CLIMaCCF), 2) Network-scale implementation of climate-aware air traffic management, and 3) Risk analysis of climate mitigation strategies. This body of work establishes new methodological standards for quantifying and minimizing aviation's total climate impact. Scientific Awards: Luis Azcárraga Aeronautical Innovation Award for collaborative research impact Best Paper Award (2022) from a high-impact aerospace journal Dr. Simorgh secures significant research funding through European Commission projects including FlyATM4E (climate-optimized flight planning), ALARM (aviation emissions reduction), and RefMAP (sustainable aviation pathways). His grant portfolio emphasizes practical implementation of climate mitigation strategies, with strong industry-academia collaboration. He mentors junior researchers through project teams and has developed three major open-source Python libraries (CLIMaCCF, ROOST, ROC) that have become community standards for climate impact assessment in aviation research. His current work focuses on scaling climate-optimized trajectories to continental airspace while addressing operational constraints and economic viability. He leads a research group focused on climate-aware air traffic management, developing the ROOST simulation framework for GPU-accelerated trajectory optimization and the CLIMaCCF library for standardized climate metric calculations. His team collaborates with European air navigation service providers and aircraft manufacturers to transition research into operational practice, with current projects emphasizing real-time implementation and regulatory compliance frameworks.

Carlos Castilloمشاهده پروفایل

استاد پژوهش

• Algorithmic Fairness
• Social Computing
• Artificial Intelligence Ethics
• +۳ مورد دیگر

Carlos Castillo is an ICREA Research Professor at Universitat Pompeu Fabra, leading the Social and Responsible Computing Research Group. Their work focuses on algorithmic fairness, social computing, and mitigating bias in AI systems across criminal justice, education, healthcare, and hiring. Key projects include the Horizon Europe FINDHR initiative to detect discrimination in algorithmic hiring, causal inference studies on recidivism risk prediction, and analyzing gender biases in student evaluations. Research Interests: Algorithmic fairness, bias mitigation in AI systems, social data ethics, criminal justice analytics, education technology, and health informatics. Notable contributions include the FA*IR fair ranking algorithm and foundational work on auditing algorithms in digital health. Recent Trends in Articles: Recent work emphasizes interdisciplinary applications of algorithmic fairness—e.g., improving representativeness in hiring datasets, analyzing disparities in medical AI models, and addressing bias in student satisfaction surveys. Publications also explore radicalization pathways via recommendation systems and the societal impact of algorithmic decision-making. Awards: Best Paper Awards in CIKM 2022 (Francesco Fabbri), ICAIL 2019 (Marius Miron), and ISCRAM 2013 (Muhammad Imran). Grants: Leads the Horizon Europe FINDHR project and collaborates with the European Commission on algorithmic discrimination research. Labs/Teams: Directs the Social and Responsible Computing Group, focusing on interdisciplinary projects with PhD students and industry partnerships.

• Labor Law
• Digital Transformation
• Platform Work
• +۷ مورد دیگر

Antonio Aloisi is a Professor of Labor Law at IE University in Madrid, where he teaches European and Comparative Labour Law and guides students in digital regulation. He co-leads the Jean Monnet Center 'Lawtomation' and is affiliated with the 'LawAhead' Center on the Legal Profession, while also serving as a fellow at the UNESCO Chair in Ethics and Governance of Artificial Intelligence. His research focuses on the impact of digital transformation on labor markets, particularly in the gig economy and algorithmic decision-making, blending insights from labor law, data protection, and EU policy. Antonio’s work examines the dual transition of green and digital economies, advocating for governance frameworks that balance innovation with labor rights. His scholarship frequently appears in high-impact journals and is cited in policy documents, court rulings, and media, reflecting his influence on debates about platform work and AI surveillance. He has held visiting roles at institutions like NYU School of Law, Fundação Getulio Vargas, and European University Institute, and his collaborations with international bodies such as the European Parliament, ILO, and OECD underscore his global engagement. Articles by Aloisi highlight trends in algorithmic management, EU Platform Work Directive, and the socio-legal implications of AI. His work critiques the 'robocalypse' narrative, emphasizing that automation often intensifies organizational processes rather than displacing workers, while advocating for collective action and regulatory innovation. Scientific awards include the Marie Skłodowska-Curie Fellowship for the 'Boss Ex Machina' project and a research grant by the European Commission. Scientific Awards: Marie Skłodowska-Curie Fellowship (2020-2022) European Commission Research Grant

• Operational Risk
• Financial Economics
• Risk Management
• +۷ مورد دیگر

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

Juan Caballeroمشاهده پروفایل

استاد پژوهش

• Computer Security
• Systems Security
• Software Security
• +۴ مورد دیگر

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

• Cloud Computing
• Peer-to-Peer Systems
• Distributed Networks
• +۱۲ مورد دیگر

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

Josep Curtoمشاهده پروفایل

دانشگاهی

• Artificial Intelligence
• Data Science
• Business Intelligence
• +۹ مورد دیگر

Josep Curto is a full Professor at Universitat Oberta de Catalunya and Adjunct Professor at IE University . He serves as Academic Director of the Master in Business Analytics (MIBA) , Facilitator at the Center for AI Safety , and founder of AthenaCore and Delfos Research . His career spans 25+ years in data science education across 15+ institutions.

• Intellectual Property Law
• Data Protection
• Copyright Law
• +۴ مورد دیگر

Antoni Rubí Puig is an Associate Professor in Civil Law at the Universitat Pompeu Fabra (UPF), serving as Associate Director for Research at the Law Department. He holds a Ph.D. in Patrimonial Law from UPF and has held visiting researcher positions at the Max-Planck-Institute for International and Comparative Law, Yale Law School, and UC Berkeley’s Center for the Study of Law and Society. He directs the Postgraduate Course in Data Protection and Information Security at UPF Barcelona School of Management. Education: Ph.D. in Patrimonial Law, Universitat Pompeu Fabra Research Interests: Data Protection and Privacy Law Intellectual Property, particularly Copyright and Digital Rights AI and Legal Frameworks Civil Liability in Digital Contexts EU Directive Implementation His work bridges technological innovation and legal norms, focusing on privacy in public health crises (e.g., 'Radar COVID'), AI-generated content regulation, and the evolving role of intermediaries in copyright enforcement. Recent Article Trends: Antoni’s recent work examines AI’s impact on intellectual property, data privacy governance during pandemics, and the adaptation of EU copyright frameworks to digital platforms. He frequently addresses tensions between technological innovation and legal accountability. Awards: None explicitly listed. Grants/Advising: No specific grants or student advisees mentioned. Focus on academic leadership and policy-oriented research. Labs/Teams: Not specified, but his role in the Postgraduate Course in Data Protection implies involvement in interdisciplinary educational initiatives.

Antonio Manuel Diaz Fernandezمشاهده پروفایل

استاد

• Criminal Law
• Criminology
• Intelligence Studies
• +۵ مورد دیگر

Antonio Manuel Diaz Fernandez is a full Professor of Criminal Law at the University of Cádiz , Spain, based in the Department of Public International, Criminal and Procedural Law . He is also a senior researcher at the Andalusian Interuniversity Institute of Criminology (IAIC) and leads the research group SEJ378 “Criminal System, Crime and Security” . Education No explicit educational history is provided in the text. Research Interests Professor Diaz Fernandez's work sits at the intersection of criminal law, criminology, intelligence studies, and security governance . His recent projects explore: Smart-city safety and emergency management , developing indicators and governance models for Andalusia 2035. Public trust and perception of intelligence services, including comparative studies of oversight mechanisms. Research ethics and methodological challenges when studying vulnerable populations and sensitive security topics. Publication Trends Across more than 60 publications since 2007, a clear evolution emerges: early work concentrated on Spanish intelligence history and European cooperation, while the last five years pivot toward smart-city governance, urban security metrics, and cybersecurity futures . A strong methodological strand emphasizes Delphi studies, systematic reviews, and indicator construction to guide evidence-based security policy. Scientific Awards No awards are listed in the provided material. Funding & Teams Professor Diaz Fernandez directs the competitive Andalusian research group SEJ378, focused on the criminal system, crime, and security. External grant details are not specified, but the volume of externally co-authored work suggests sustained competitive funding.

• Criminal Law
• Criminology
• Environmental Criminal Law
• +۵ مورد دیگر

Juan Luis Fuentes Osorio serves as a University Professor in the Department of Criminal Law, Philosophy of Law, Moral Philosophy and Philosophy at the University of Jaen, Spain. His academic work is anchored within the Criminal Law, Criminology, Democracy and Fundamental Rights research group, where he contributes to interdisciplinary scholarship at the intersection of legal theory and societal protection mechanisms. He earned his PhD from the University of Jaen in 2003 with the dissertation "The anticipation of criminal protection and preparatory acts of crime," supervised by Dr. Guillermo Portilla Contreras. This foundational work established his expertise in criminal law theory and preparatory acts doctrine. His research spans Criminal Law, Criminology, Environmental Criminal Law, Corporate Criminal Liability, and Hate Speech regulation. He critically examines the tension between theoretical legal frameworks and practical enforcement challenges, particularly regarding environmental protection mechanisms and corporate accountability structures. His scholarship consistently addresses the philosophical underpinnings of criminal responsibility while engaging with contemporary issues like digital hate speech and ecological crime. Analysis of his 2021-2025 publications reveals three dominant thematic clusters: environmental criminal law effectiveness (focusing on enforcement gaps and sanction proportionality), corporate criminal liability (examining penalty determination for legal entities), and hate speech regulation (analyzing legal boundaries in digital spaces). His work demonstrates methodological rigor through comparative legal analysis and empirical assessment of judicial practices. Within the Criminal Law, Criminology, Democracy and Fundamental Rights research group, he collaborates on projects exploring the constitutional dimensions of criminal justice and the protection of fundamental rights within democratic frameworks. His institutional affiliation provides the foundation for sustained scholarly contributions to Spanish and European criminal law discourse.

• Applied Analytics
• Statistical Inference
• Time Series Analysis
• +۷ مورد دیگر

Dr. Laleh Tafakori is a Senior Lecturer in the Department of Statistics and Analytics at RMIT University's School of Science. Her research focuses on the intersection of statistical modeling, machine learning, and their applications in healthcare, finance, and environmental science. She is affiliated with the university's City Campus and can be contacted at laleh.tafakori@rmit.edu.au . Her teaching interests include Applied Analytics , Statistical Inference , Time Series Analysis , Mathematical Statistics , Stochastic Processes , and Probability Theory . She actively supervises research projects in areas such as: Healthcare modeling (e.g., diabetes onset prediction, maternal risk assessment) Environmental data analysis (e.g., extreme precipitation estimation via satellite data) Financial risk analysis (e.g., Value-at-Risk forecasting, credit portfolio management) Machine learning applications in complex networks and smart grids Her recent research trends emphasize predictive modeling for public health challenges, leveraging advanced statistical techniques (copula models, functional volatility) and machine learning (CNNs, random forests). She collaborates with institutions worldwide, addressing issues like Saudi Arabia's healthcare indicators and European financial systemic risk. While no formal awards are listed, her work demonstrates impactful contributions to interdisciplinary data science. Dr. Tafakori has advised over 16 students on topics ranging from diabetes epidemiology to edge computing optimization. Her research outputs include 28+ peer-reviewed articles, with a focus on methodological innovation and real-world problem-solving. She maintains active engagement in collaborative projects without explicitly listed grants.

• 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.