جست‌وجوی استاد و پژوهشگر

• Biometrics
• Biometric Systems
• Computer Vision
• +۵ مورد دیگر

Raul Sanchez Reillo 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 biometric systems, mobile authentication, and security technologies. Key areas include presentation attack detection, vein recognition, and ECG biometrics. He leads projects involving smartphone-based biometric solutions, 3D printed markers, and standards development for biometric interoperability. Research interests span multiple modalities: fingerprint authentication, dynamic signature verification, gait recognition, and vascular biometrics. He emphasizes usability and accessibility in mobile environments, exploring ergonomics and user interaction challenges. His work integrates machine learning (transformers, RNNs) with hardware solutions like FPGA-based systems. Publications highlight innovations in spoofing detection, medical applications (ECG/vein analysis), and low-cost hardware implementations. He contributes to European standards (BioAPI, Hand Data Interchange Format) and evaluates security practices for R&D compliance with EU data protection regulations. Current initiatives include enhancing biometric systems for critical infrastructure security and improving accessibility for elderly users. Active in interdisciplinary collaborations, he leads the Mobile Pass project evaluating user interaction in biometric systems. His lab (GUTI) develops open testing methodologies for biometric performance under Common Criteria and environmental stressors. Recent work addresses vulnerabilities in mobile fingerprint sensors and the ethical implications of biometric-as-a-service models.

• Digital Forensics
• Image Processing
• Multimedia Analysis
• +۴ مورد دیگر

Giulia Boato is an Associate Professor at the University of Trento’s Department of Information Engineering and Computer Science (DISI). She teaches courses in Probability and Multimedia Data Security. Her expertise spans Cyber Security, Digital Forensics, and Multimedia Analysis, focusing on image and signal processing for data protection, forensics, and anti-forensics. She collaborates internationally with institutions like Tampere University of Technology and Dartmouth College, co-advising PhD students and contributing to European projects like LIVINGKNOWLEDGE and GLOCAL. Education: PhD in Information and Communication Technology (2005), M.Sc. in Mathematics (2002), Scientific Lyceum (1998) with bilingual Italian-German certification. Past roles include Assistant Professor at DISI (2006–2018) and visiting researcher at the University of Vigo (2006) and University of Innsbruck (2018). Research interests include multimedia data protection, image forensics (tampering detection, computer vs. natural data discrimination), and intelligent data management. She leads projects on social media forensics, event-based retrieval, and synthetic media detection. Awards include Best Paper at IEEE WIFS 2012 and Top 10% Paper at MMSP 2012. Professional contributions include roles as co-chair of workshops, Technical Program Committee member for ICIP and ICC, and reviewer for journals like IEEE Transactions on Information Forensics and Security. She has advised PhD theses and contributed to datasets like TrueFace and WILD for synthetic media analysis.

Tove Helsمشاهده پروفایل

دانشیار

• Traffic Safety
• Transportation Engineering
• Road User Behavior
• +۷ مورد دیگر

Tove Hels is an Associate Professor in the Department of the Built Environment at the Faculty of Engineering and Science, Aalborg University, Denmark. She is a key member of the Traffic Research Group, focusing on transportation safety, road user behavior, and traffic policy. Her work bridges engineering, public health, and social science to improve road safety outcomes. Research Interests: Her research spans traffic safety, cyclist-motorist interactions, speed enforcement, accident risk modeling, and the impact of vehicle technologies. She investigates both infrastructure design and behavioral factors influencing road safety, with a strong emphasis on data-driven analysis and policy evaluation. The recent publications reveal a consistent focus on improving cyclist safety through infrastructure (e.g., advanced stop boxes, roundabout design), addressing under-reporting of traffic injuries, and evaluating behavioral interventions for speeding. Her work integrates epidemiological methods, statistical modeling, and real-world policy applications. Scientific Contributions: Principal Investigator in the Danmarks Trafikulykker cohort study (2025–2029) Project participant in EASE: Intervention against speed offenders (2019–2025) Author of over 29 research outputs including journal articles, reports, and policy briefs Frequent contributor to national media and advisory bodies like Dansk Vejforening Advising and Grants: While no formal students are listed, her leadership in major funded research projects indicates a supervisory role in training junior researchers. She has secured and contributed to significant research grants related to traffic safety monitoring and intervention evaluation. Labs and Teams: She is part of the Traffic Research Group at Aalborg University, collaborating closely with researchers such as H. Lahrmann, T.K.O. Madsen, and A.V. Olesen. The group conducts field studies, data linkage projects, and policy evaluations with national impact.

• Computer Security
• Hardware-Software Co-design
• Confidential Computing
• +۴ مورد دیگر

Frank Piessens is a Full Professor in the Department of Computer Science at KU Leuven's Faculty of Engineering Science, where he leads the Distributed and Secure Software (DistriNet) research group. His research focuses on cutting-edge security challenges at the hardware-software interface. His research interests span: Hardware-software co-design for end-to-end security Confidential computing architectures Microarchitectural side-channel mitigation Secure IoT development Compiler-based security mechanisms Control-flow integrity techniques Recent publications (2024-2025) demonstrate strong focus on: Hardware security cost/performance tradeoffs Processor-level security enhancements (RISC-V, high-end CPUs) IoT device lifecycle security Control-flow leakage prevention Microcontroller IP protection He currently supervises PhD students including M. Bognár and H. Winderix, and leads major research initiatives such as: Hardening confidential computing through vertically integrated system design (2025-2031) Designing secure hardware for software-exploitable attacks (2025-2029) Compiler-based mitigations for microarchitectural side-channels (2023-2027) Security Arms Race at the Hardware-Software Boundary (2020-2025)

Jukka Pirttiläمشاهده پروفایل

استاد

• Public Economics
• Optimal Taxation
• Empirical Analysis of Tax Systems
• +۱۰ مورد دیگر

Jukka Pirttilä is a Professor of Public Economics at the University of Helsinki, specifically within the Department of Political and Economic Studies in the Faculty of Social Sciences. He also holds affiliations as a researcher at the VATT Institute for Economic Research, a Senior Non-Resident Research Fellow at the United Nations University World Institute for Development Economic Research (UNU-WIDER), and a Fellow at CESifo. He serves as Deputy Director of the Finnish Centre of Excellence in Tax Systems Research (FIT), reflecting his leadership in national research initiatives. His research interests are centered on public economics , with a strong focus on optimal taxation , empirical analysis of tax systems , and the intersection of taxation and social protection in developing countries . His work spans labor economics, development economics, behavioral public finance, and inequality, often employing microsimulation and empirical econometric methods to evaluate policy impacts. His recent publications (2022–2024) reflect a consistent trend in analyzing tax and benefit systems in both developed and developing contexts. Key themes include migration and tax policy in Finland, tax-benefit microsimulation in the Global South, top income taxation in emerging economies, and youth activation programs. His work frequently involves cross-country collaborations and leverages large-scale administrative and survey data to assess policy effectiveness, equity, and efficiency. Fellow of CESifo Senior Non-Resident Research Fellow at UNU-WIDER Deputy Director of the Finnish Centre of Excellence in Tax Systems Research (FIT) Pirttilä has supervised and collaborated with numerous researchers, though specific advisees are not listed in the provided text. His work has been supported by major research centers such as VATT, CESifo, and UNU-WIDER. He is actively involved in policy-relevant research, particularly in Sub-Saharan Africa (e.g., South Africa, Uganda, Ghana, Tanzania, Zambia), assessing tax reforms, social protection programs, and fiscal policy impacts. He maintains a research blog at the University of Helsinki and has a highly active publication record, with over 47 papers announced in NEP (New Economics Papers) across fields like Public Economics, Public Finance, Development, and Labor Economics. His research is widely recognized, placing him among the top 5% of authors in RePEc based on output and co-authorship networks.

• Industry 4.0
• Information and Communication Technology (ICT)
• Project Management
• +۴ مورد دیگر

Dr. Eng. Katarzyna Jasińska is affiliated with the Department of Management and Entrepreneurship at Wrocław University of Economics. Her work focuses on Industry 4.0, ICT sector dynamics, project management, and digital transformation. She has conducted extensive research on topics such as robotic process automation (RPA), AI implementation, and organizational adaptation to technological changes. Her research interests span across: Industry 4.0 adoption and its implications for businesses Digital transformation challenges in service and manufacturing sectors Project management methodologies in ICT enterprises RPA and AI integration in organizational processes Key contributions include case studies analyzing Polish companies' adaptation to Industry 4.0 post-pandemic challenges, cybersecurity frameworks, and innovative project management approaches. Her work emphasizes bridging the gap between technological innovation and practical implementation in real-world business contexts.

Jaron Minkمشاهده پروفایل

استادیار

• Usable Security
• Machine Learning
• System Security
• +۵ مورد دیگر

Jaron Mink is an Assistant Professor at Arizona State University's School of Computing and Augmented Intelligence, leading the Human Aspects in cyber Protections and Privacy Lab (Happy Lab). His research focuses on the intersection of usable security, machine learning, and system security, particularly exploring how human factors impact ML security. He holds a Magna Cum Laude from UCLA and completed graduate studies at the University of Illinois at Urbana-Champaign (UIUC), where he served as a Teaching Assistant and Guest Lecturer in Computer Security courses. Education: University of California, Los Angeles (UCLA) - Bachelors (Magna Cum Laude) University of Illinois at Urbana-Champaign (UIUC) - PhD in Computer Science Research Interests: Human-ML Interaction Dynamics Deepfake Detection and User Perception Adversarial ML Defense Adoption Barriers User Trust in Security Tools Privacy-Preserving Technology Design His work bridges technical security solutions with human-centric usability challenges, emphasizing real-world application in social media, fitness apps, and enterprise systems. Recent Publications: Focus on quantifying sociodemographic influences in security behaviors, analyzing deepfake moderation biases, and evaluating ML security tool usability across industries. Awards: Google Research Scholar Program NSF Graduate Research Fellowship Teaching: Instructs courses like Information Assurance and Trustworthy Human-ML Interaction at ASU, previously teaching Computer Security II at UIUC. Labs/Teams: Directs the Happy Lab, actively recruiting PhD students to tackle challenges in human-centric cybersecurity and privacy. Hobbies: Passionate about vintage dance styles (Lindy Hop, Blues, Balboa) and strategic board games like Spirit Island and War of the Ring .

• Environmental Engineering
• Water Quality
• Plumbing Systems
• +۳ مورد دیگر

Andrew J Whelton is a Professor of Civil and Construction Engineering at Purdue University's College of Engineering, with concurrent appointments in Sustainability Engineering and Environmental Engineering. He serves as Director of the Healthy Plumbing Consortium and Lead for the Center for Plumbing Safety, focusing on water quality, chemical contamination, and public health in building plumbing systems. Professor, Civil and Construction Engineering Professor, Sustainability Engineering Professor, Environmental Engineering Director, Healthy Plumbing Consortium Lead, Center for Plumbing Safety His research spans environmental engineering and public health, with key themes including chemical contamination from plastic pipe degradation, post-disaster water system recovery, wildfire-related water quality impacts, and microbial risks in premise plumbing. Recent work addresses crises like the East Palestine chemical spill and Maui wildfires, while also developing predictive models for water quality and evaluating sustainable infrastructure materials. Scientific awards and recognitions include: Rapid Response Research (RAPID) Grants from NSF for disaster-related studies Environmental Protection Agency (EPA) support for building water quality programs Leadership in interdisciplinary consortia focused on plumbing safety Development of novel tools for water quality monitoring and remediation His publications reveal trends in: Chemical leaching from plastic piping materials Environmental justice in water contamination crises Integration of machine learning for water quality prediction Microbial ecology in stagnant plumbing systems Policy recommendations for disaster response Sustainable material innovation for infrastructure

JIANG Lingxiaoمشاهده پروفایل

استاد

• Software Engineering
• Artificial Intelligence
• Data Science
• +۷ مورد دیگر

Professor Lingxiao Jiang is a full-time faculty member at the School of Computing and Information Systems (SCIS), Singapore Management University (SMU) , where he serves as Director of the Centre for Research on Intelligent Software Engineering (RISE) . His research and teaching focus on software engineering , program analysis , code search & reuse , and deep learning of code to enhance software quality, development productivity, and security. PhD, University of California, Davis (2009) Professor Jiang's research explores context-aware software deep learning , code clone detection , and security & privacy through tools like DECKARD (code clone detection), EqMiner (functionally equivalent code), and SmartEmbed (smart contract security). His work leverages distributed computing , symbolic execution , and neural program models for large-scale code analysis. Recent publications highlight trends in deep learning-based code analysis , smart contract vulnerabilities , and automated program transformation . Key themes include code clone detection , semantic patches , and cross-language API mappings . Scientific Awards ACM SIGSOFT Impact Paper Award (2018) for scalable code clone detection As advisor, Professor Jiang has mentored 14 graduate students, including Lucia (Ph.D. 2014) , Shaowei Wang (Ph.D. 2015) , and current advisees in intelligent software engineering. He leads multiple grants on code mining , security of digital platforms , and AI systems governance . RISE Lab at SMU develops tools like MANDO (smart contract analysis), iTiger (issue title generation), and TreeCaps (code processing with capsule networks). The lab actively recruits researchers in software engineering and AI.

Guanpeng Liمشاهده پروفایل

استادیار

• High-Performance Computing (HPC) Fault Tolerance
• Lossy Compression for HPC Data Reduction
• Safety of Autonomous Driving Systems
• +۲ مورد دیگر

Guanpeng Li is an Assistant Professor in the Department of Computer Science at the University of Iowa since 2020. His research focuses on building dependable high-performance computing systems, with emphasis on fault tolerance, data reduction, and safety in autonomous systems. Ph.D., University of British Columbia (2019) Postdoc, University of Illinois Urbana-Champaign (2020) BASc, University of British Columbia (2014) Research interests include: HPC Fault Tolerance and Error Propagation Analysis Lossy Compression Techniques for Scientific Data Safety Assurance for Autonomous Driving Systems Dependability of Machine Learning Applications Recent publications reveal trends in GPU-based fault detection, error-bounded compression, and autonomous systems security. His team has contributed to IEEE/ACM SC, IPDPS, DSN, and ISSRE conferences. Scientific awards include: NSF CAREER Award (2025) IEEE TCHPC Early Career Researchers Award (2024) Multiple Best Paper Awards at SC, DSN, and ISSRE (2024-2018) IEEE Top Picks in Test and Reliability (2023, 2024) Guanpeng Li advises active PhD students and collaborates with institutions like the University of British Columbia and Intel. His work impacts real-time safety systems and deep learning frameworks.

Zeyu Dingمشاهده پروفایل

استادیار

• Privacy
• Algorithmic Fairness
• Machine Learning
• +۵ مورد دیگر

Zeyu Ding is an Assistant Professor in the School of Computing at Binghamton University, with a courtesy appointment in the Department of Mathematics and Statistics. He holds two PhDs: one in Computer Science from Penn State University and another in Mathematics from Binghamton University, along with a BS in Mathematics from Zhejiang University. Research Interests His work focuses on the intersection of privacy, security, machine learning, and algorithmic fairness. He investigates how to protect sensitive personal information through differential privacy mechanisms, formal verification, numerical optimization, and privacy-preserving statistical inference. Article Trends Ding's publications highlight advancements in differential privacy, including the Report Noisy Max with Gap Mechanism and the Permute-and-Flip approach. His research also addresses security challenges like reconstruction attacks and automated verification tools (e.g., Checkdp and DPGen), alongside mathematical explorations of automorphism group schemes and Barsotti-Tate groups. Scientific Awards CCS Outstanding Paper Award, 2018 Caper Bowden PET Award Runner-up, 2019 CCS Best Paper Award Runner-up, 2020 CCS Best Paper Award Runner-up, 2021 Research Award from Penn State University, 2019 Teaching Award from Penn State University, 2021 His research is supported by the NSF grant 2317233, underscoring his contributions to privacy-preserving computational methods.

• Development Economics
• Cultural Economics
• Environmental Economics
• +۳ مورد دیگر

Aatishya Mohanty is a Lecturer in Economics at the University of Aberdeen Business School, where she contributes to research and teaching in economic development and cultural economics. She joined the university in 2023 and is affiliated with the Department of Economics, actively publishing in high-impact interdisciplinary journals. Ph.D. in Economics, Nanyang Technological University, Singapore (2023) M.Sc. in Applied Economics, Nanyang Technological University, Singapore Her research centers on the interplay between culture and economic outcomes, particularly in development and environmental contexts. She investigates how cultural norms affect public health behaviors, responses to pandemics, environmental regulations, and disaster resilience. Her work combines rigorous econometric methods with interdisciplinary insights from sociology, public health, and environmental science. The analysis of her recent publications reveals a strong thematic focus on the socio-economic dimensions of global crises, especially the COVID-19 pandemic. Her research consistently explores how cultural and institutional factors mediate policy effectiveness and environmental outcomes. She employs large-scale datasets and cross-national comparisons to draw robust conclusions, contributing significantly to the fields of cultural economics and development policy. Aatishya Mohanty has not been publicly recognized with any scientific awards or fellowships based on the available information. There is no publicly available information about her advising graduate students or securing research grants. Her teaching responsibilities include courses such as Environmental Economics, Applied Economic Policy Evaluation, Industrial Economics, and The Global Economy, indicating a strong engagement with both undergraduate and postgraduate education. No specific laboratory or research team affiliation is mentioned in the provided texts. However, her work appears to be collaborative, involving researchers from various institutions, suggesting participation in broader academic networks and research consortia.

Jianbing (Jason) Liمشاهده پروفایل

استاد

• Environmental pollution control
• Petroleum waste management
• Soil and groundwater remediation
• +۳ مورد دیگر

Dr. Jianbing Li is a Professor and Professional Engineer (P.Eng.) in the Environmental Engineering Program at the University of Northern British Columbia (UNBC), holding prestigious fellowships from CSCE, CSSE, EIC, and Engineers Canada. His research program addresses critical environmental challenges with significant real-world impact, particularly in northern and remote communities of British Columbia. Education: PhD in Environmental Systems Engineering, University of Regina Research Focus: Dr. Li's work centers on environmental pollution control , petroleum waste management , soil and groundwater remediation , environmental modeling , risk assessment , and oil spill response . His innovative approaches integrate machine learning, advanced materials, and sustainable engineering principles to develop practical solutions for complex environmental problems, with particular emphasis on resource recovery from waste streams. Publication Trends: Analysis of his 15 most recent publications (2023-2025) reveals a strategic focus on oil spill response technologies, wastewater treatment innovations, and waste valorization. Key advancements include nano/micro bubble flotation systems, chitosan-based adsorbents, and machine learning models for pyrolysis optimization, demonstrating his leadership in translating laboratory research to field applications. Scientific Recognition: 2024 Fellow of Engineers Canada and Engineering Institute of Canada 2023 CSCE Dr. Albert E. Berry Medal (Canada's top environmental engineering award) Multiple UNBC Research Excellence Awards (2010, 2014, 2019, 2023) 2013 Northern BC Business and Technology Award with Husky Energy Best paper awards from International Academy of Science and Environmental Geotechnology Society Research Leadership: Dr. Li has secured over $800,000 in 2023 and $1.9 million in 2020 for oil spill response research through NSERC, DFO, and NRCan. His current portfolio includes groundwater protection for Indigenous communities, next-generation decanting technologies, and water security for remote regions. He actively mentors PhD, MSc, and MASc students while serving on NSERC evaluation committees and co-directing the UNBC/UBC environmental engineering program (2013-2017). Collaborative Networks: Dr. Li leads multi-institutional partnerships with UBC, government agencies, industry (including Husky Energy), and Indigenous communities like Lheidli T'enneh First Nation. His work through the Multi-Partner Research Initiative addresses practical challenges in rural British Columbia while advancing fundamental knowledge in environmental systems engineering.

• Criminology
• Digital Criminology
• Sociology of Law and Deviance
• +۱۵ مورد دیگر

Gabriele Baratto is an Assistant Professor of Criminology at the Faculty of Law, University of Trento, where he is also a senior researcher in the eCrime research group and a member of the Centre for Security and Crime Sciences (CSSC), a joint initiative with the University of Verona. He teaches courses including Digital Criminology, Transnational Organized Crime, Urban Security, and Financial Crime, and serves as an academic specialist for the UNICRI-UPEACE LL.M. in Cybercrime and Cybersecurity. PhD in International Studies (Criminology), University of Trento (2019, cum laude) Master’s Degree in Law, University of Trento (2013, 110/110 with honors) LL.M. in Cybercrime, Cybersecurity and International Law (cum laude), UNICRI-UPEACE-CSSC Scientific High School Diploma, Giorgio Dal Piaz, Feltre (2006) His research focuses on the intersection of crime and digital society, with expertise in cybercrime, human trafficking, migrant smuggling, hate speech, counterfeit goods, urban security, and financial crime. He investigates how digital technologies transform criminal behaviors and how law enforcement and prevention strategies can adapt. His work emphasizes multidisciplinary approaches combining criminology, law, and information science. Baratto has led and contributed to numerous EU-funded research projects such as qAID (Asset and Interest Disclosure), EU CYBER VAT (VAT fraud), HATEMETER (online anti-Muslim hate), and www.surfandsound.eu (human trafficking). His recent publications and conference presentations explore deepfake pornography, conversational AI for victim support, digital human trafficking, and organized cybercrime. His work bridges academic research with practical policy and law enforcement applications. Best Workshop Presentation 2018, Italian Society of Criminology He has advised government bodies and law enforcement, including the Trento Public Prosecutor, Guardia di Finanza, and EUROPOL. He has delivered guest lectures at universities in Italy, Spain, Switzerland, and the UK, and conducted training for police, public officials, and educators on topics like cyberbullying, human trafficking, and digital crime. He serves as a reviewer for journals such as Trends in Organised Crime and Humanities & Social Sciences Communications , and was a guest editor for a special issue on cybercrime. Baratto is actively involved in public engagement and knowledge transfer, participating in seminars, workshops, and public events on restorative justice, prison reform, and digital risks. Through his startup Intellegit, he applies research to real-world security challenges. His work consistently emphasizes the societal impact of digital crime and the need for innovative, interdisciplinary solutions.

• Database Systems
• Stream Processing
• Distributed Data Management
• +۵ مورد دیگر

Volker Markl is a Professor at Technische Universität Berlin in the Institute of Software Engineering and Theoretical Computer Science, with additional affiliations at the Berlin Institute for the Foundations of Learning and Data (BIFOLD) and the German Research Center for Artificial Intelligence (DFKI). His research spans database systems, stream processing, and distributed data management with significant contributions to both theoretical foundations and practical implementations. Markl's research interests focus on next-generation data management systems, particularly for streaming and IoT environments. His work addresses critical challenges in distributed query processing, system integration, and performance optimization. He has pioneered approaches for stream processing in volatile infrastructures and developed innovative techniques for GPU-accelerated database operations. His NebulaStream project represents a major contribution to distributed stream processing systems. His publication record demonstrates consistent impact across top database venues including VLDB, SIGMOD, and ICDE. Recent work shows increasing focus on machine learning integration with database systems, privacy-preserving query processing, and educational approaches for teaching large-scale data management. Markl has mentored numerous researchers who have become prominent in the database community, with frequent collaborators including Steffen Zeuch, Tilmann Rabl, and Philipp Grulich. His leadership extends to major research initiatives and collaborations across European institutions.