جست‌وجوی استاد و پژوهشگر

• Information Security
• Privacy
• Cybersecurity
• +۷ مورد دیگر

Kévin Huguenin is a Full Professor and head of the Information Security and Privacy (ISP) Lab at the University of Lausanne (UNIL), within the Faculty of Business and Economics (HEC). His research focuses on security and privacy in distributed systems, mobile/social networks, and interdisciplinary areas such as health informatics and legal aspects of privacy. He has held academic positions since 2016, including Assistant Professor (2016–2020) and Full Professor (2020–present). He previously worked at LAAS-CNRS and EPFL, with postdoctoral research at McGill University. Education: PhD (Computer Science, Université de Rennes, 2010), MSc (Network and Distributed Systems, University of Nice Sophia Antipolis, 2007), BSc (Computer Science, University of Rennes, 2006). He is an alumnus of École Normale Supérieure de Cachan. Research Interests: Interdependent privacy, wearable device security, genomic privacy, privacy-preserving technologies, and the social/human aspects of cybersecurity. His lab collaborates with institutions like CSEM and EPFL on projects such as PrivacyLife (SNF-funded). Recent Work: Focuses on second-hand storage device privacy, shadow health data, and participatory design for privacy solutions. Recent studies include personality inference from wearables and user behaviors in fitness data sharing. Awards: Best Paper Awards at OPODIS’09 and IEEE ICDCS’10, CNRS Excellence Award, and Best Teacher Award in the Master of Information Systems. Grants & Collaborations: Swiss National Science Foundation (SNF), Fondation Hasler, and industry partnerships like Nokia Research Center. Current projects include second-hand device privacy (SNF-funded) and mHealth privacy. Labs & Teams: ISP Lab at UNIL, collaborating with CSEM and EPFL on interdisciplinary projects. Active in program committees for venues like USENIX Security, PETS, and WEIS.

Carlos José De Oliveira E Silva Rodriguesمشاهده پروفایل

دانشیار

• Territorial Innovation Systems
• Triple Helix Dynamics
• Science Technology and Innovation Policy
• +۴ مورد دیگر

Carlos José De Oliveira E Silva Rodrigues serves as Associate Professor at the University of Aveiro's Department of Social, Political and Territorial Sciences, where he held departmental leadership from 2015-2024. As coordinator of both the Center for Asian Studies and Master in Chinese Studies programs, he bridges European and Asian academic communities while maintaining active research through the Governance, Competitiveness and Public Policy (GOVCOPP) research unit. His educational background centers on Social Sciences, with PhD-level expertise applied across interdisciplinary domains. Rodrigues' research portfolio demonstrates deep engagement with territorial innovation frameworks and China-related studies, reflecting dual specializations developed through extensive fieldwork and policy analysis. Scientific interests converge on territorial innovation systems with emphasis on triple helix dynamics (university-industry-government interactions), science and technology policy, and EU-China relations. His work examines how socioeconomic development pathways emerge from institutional arrangements, with particular focus on smart specialization strategies in peripheral European regions and China's global soft power initiatives through sports diplomacy and infrastructure projects. Recent publications (2022-2024) reveal three dominant trajectories: 1) Critical analysis of EU-China relations through cognitive dissonance and strategic ambiguity lenses, 2) Territorial innovation models addressing regional disparities in Portugal's Centro region, and 3) China's global influence via Health Silk Road initiatives and football diplomacy. Methodologically, his work combines policy analysis with comparative case studies across Europe, Africa, and Asia. Coordinator, Center for Asian Studies (University of Aveiro) Coordinator, Master in Chinese Studies Program Former Department Head (2015-2024) Active contributor to GOVCOPP research unit Participant in multiple national/international R&D projects Administrative leadership complements research activities, with departmental governance experience informing studies on university roles in regional competitiveness. Current projects examine quadruple helix innovation frameworks while maintaining longstanding engagement with Portuguese-China bilateral relations through both academic and policy channels.

Paul R. Carlileمشاهده پروفایل

استاد

• Knowledge Management
• Collaboration and Innovation
• Organizational Behavior
• +۳ مورد دیگر

Paul R. Carlile is a Professor of Management and Information Systems and Senior Associate Dean for Online Learning at Boston University's Questrom School of Business, where he previously chaired the Information Systems Department. Before joining BU, he was faculty at MIT Sloan School of Management, bringing extensive academic leadership experience across top-tier institutions. Education: PhD in Organizational Behavior, University of Michigan (1997) MA in Organizational Behavior, Brigham Young University (1990) BA in Philosophy, Brigham Young University (1988) His research pioneers the study of knowledge boundaries across expertise domains, developing frameworks to enhance cross-boundary collaboration and innovation. Applied across automotive, software, aerospace, and pharmaceutical industries, his work bridges theoretical rigor with practical implementation. Carlile co-authored Reimagining Business Education , which critiques siloed higher education structures and proposes integrative teaching approaches for broader stakeholder value. Recent publications (2019-2025) reveal evolving focus on routine dynamics in interorganizational contexts, materiality of ignorance, and digital health innovation, demonstrating consistent contributions to organizational theory through sociomaterial and practice-based lenses. Awards: Most Innovative Business School Idea of 2015 (Poets & Quants) for Master of Science in Management Studies (MSMS) program As Senior Associate Dean, Carlile drives curricular innovation including the experiential MSMS degree, while his research collaborations with industry partners translate theoretical insights into practical frameworks for cross-domain innovation. His dual role uniquely positions him to integrate scholarly rigor with educational transformation.

Amin Rahimianمشاهده پروفایل

استادیار

• Networks
• Data Science
• Decision Sciences
• +۹ مورد دیگر

Amin Rahimian is an Assistant Professor at the University of Pittsburgh , affiliated with the Swanson School of Engineering and leading the Sociotechnical Systems Research Laboratory . He is also associated with the Intelligent Systems Program and the Institute for Cyber Law, Policy, and Security . PhD in Electrical and Systems Engineering (University of Pennsylvania) Master’s in Statistics (Wharton School) His research spans networks, data, and decision sciences , focusing on robust autonomy , control of large-scale networked systems , satellite constellations , and decision support in mission-critical applications . His work bridges applied probability, statistics, algorithms, and decision/game theory to address challenges in online social networks, public health, e-commerce, cyberinfrastructure, and warfare . Recent publications highlight his expertise in differential privacy, network resilience, and social contagion dynamics. Awards include the Meta Foundational Integrity Research Award (2023) and Pitt Cyber Accelerator Grant (2022) . He has served on program committees for conferences like ACM Economics and Computation and IISE Annual Conference.

• Cybersecurity
• Blockchain Technology
• Internet of Things (IoT)
• +۵ مورد دیگر

Rajarajan, M. is a Professor at City, University of London , specializing in Cybersecurity , Blockchain Technology , and Internet of Things (IoT) Security . His research focuses on secure access control, privacy-preserving systems, and risk assessment in cloud and smart grid environments. Research Interests : Blockchain for IoT and IIoT Smart Grid Security and Pricing Models Privacy-Preserving Machine Learning Cloud Computing Risk Assessment DDoS Attack Mitigation Biometric and Continuous Authentication Article Trends : 2023: Blockchain for IoT access control, dynamic cloud risk models, ransomware detection 2022: Smart grid security, DDoS propagation, privacy in autonomous vehicles 2021: Post-quantum cryptography, decentralized identity frameworks 2020: Microgrid pricing, IoT message broker transparency Key Collaborators : Smith-Creasey, M. (IoT Authentication) Tahir, S. (Privacy in IoT) Acarali, D. (Smart Grid Security) Boiarkin, V. (Energy Grid Pricing)

• Resilience of Infrastructure Systems
• Disaster Management
• Transportation and Supply Network Analysis
• +۶ مورد دیگر

Dr. Jinzhu Yu is an Assistant Professor at the University of Texas at Arlington, holding primary affiliation in Civil Engineering and a secondary appointment in Industrial, Manufacturing, and Systems Engineering. He earned his Ph.D. in Interdisciplinary Systems Engineering from Vanderbilt University and conducted postdoctoral research at Rensselaer Polytechnic Institute. His work focuses on resilient urban systems through network science, operations research, and AI/ML. Research interests include infrastructure resilience, disaster management, transportation networks, and decision-making under uncertainty. Education: PhD, Interdisciplinary Systems Engineering, Vanderbilt University (2020) MS, Civil Engineering, Tongji University (2016) BS, Civil Engineering, Tongji University (2013) Research Highlights: Dr. Yu develops models for infrastructure resilience, climate adaptation, and equity. Recent projects include TxDOT-funded work on transportation asset management and crowd-sourced bicycle/pedestrian safety data. His lab integrates data science and network analytics to enhance urban systems. Awards: Urban Resilience Fellow (2024) STARs Award (2022) Student Merit Award (2017) Grants & Advising: Active projects include $319K TxDOT grant (2024) and leadership in NSF reviews. Supervises interdisciplinary students in civil engineering, systems engineering, and computer science.

• Bioethics
• Global Health Equity
• Health Systems Research
• +۳ مورد دیگر

Bridget Pratt is an Associate Professor in Healthcare Ethics at the Queensland Bioethics Centre, affiliated with the Faculty of Theology and Philosophy at Australian Catholic University. Her work focuses on global health equity, environmental ethics, and justice in healthcare systems. She has contributed extensively to bioethical debates around climate change planning, equitable data sharing, and ethical frameworks for global health research. Her research emphasizes participatory approaches to address systemic inequities in healthcare access and governance, particularly for marginalized communities. Pratt’s research interests span bioethics, social justice, and the intersection of health systems with ecological sustainability. She has explored topics such as epistemic justice in global bioethics, ethical challenges in voluntary assisted dying legislation, and the role of community engagement in research prioritization. Her work often bridges theoretical ethics with practical policy recommendations. Her recent publications highlight themes like balancing human and environmental health needs during pandemic recovery, equitable urban climate planning, and addressing structural barriers in global health collaborations. Though no specific awards are listed, her prolific output reflects significant contributions to bioethics and health policy discourse. Pratt has advised on research governance structures and health equity frameworks but no specific grants or student advisees are explicitly mentioned in the provided text. Her work is closely tied to the Queensland Bioethics Centre, which serves as a hub for interdisciplinary ethical inquiry.

• Computational Social Science
• Data Science
• Multivariate Social Networks
• +۱۰ مورد دیگر

Termeh Shafie is a full-time Professor in the Department of Politics and Public Administration at the University of Konstanz, specializing in Computational Social Science and Data Science. With a strong statistical foundation, she develops advanced methodologies for analyzing multivariate social networks while bridging archaeological network reconstruction with modern data science techniques through projects like NEXUS 1492. Key Research Areas: Multigraph modeling, network entropy analysis, isotope geoprovenance, and hypergraph representations Projects: NEXUS 1492 archaeological network reconstruction Her 15 most recent publications demonstrate significant contributions to network methodology (random multigraph models, centrality index analysis), archaeological applications (Caribbean attack networks, Iroquoian settlement patterns), and data privacy frameworks. Articles span 2012–2025 with interdisciplinary focus on statistical sociology, archaeological theory, and computational modeling. Current teaching includes courses on social network analysis, data science, and statistical learning. Office hours available via ILIAS booking system. Contact details provided for both academic and administrative correspondence.

• Data Science
• Artificial Intelligence
• Causal Analysis
• +۴ مورد دیگر

Dr Xu Huang is a Senior Lecturer in Business Analytics and Programme Lead of the Analytics, Information System & Operations Subject Group at Oxford Brookes Business School. She holds a PhD and is a Fellow of the Higher Education Academy (FHEA). Her research focuses on data-driven decision-making, emphasizing advancements in data science, AI, causal analysis, and their applications across sectors like finance, healthcare, and sustainability. Dr Huang’s educational background includes a BSc, MSc, and PhD, reflecting her deep expertise in analytical fields. Her work spans causal relationships in energy markets, climate change impacts, and digital twin technologies for UN SDGs. She has published 1 book (with over 8,000 accesses) and over 30 journal articles, many in Q1 journals, including top-cited and viewed papers. Her research has been supported by roles as Principal Investigator (PI) or Co-Investigator (Co-I) in multiple funding projects and as a data science consultant for knowledge transfer initiatives. Her publications highlight trends in blockchain applications (e.g., healthcare, banking), big data sustainability contributions, and causal analysis in climate and economic systems. She advises on PhD topics involving data science, forecasting, and interdisciplinary applications. Dr Huang also leads initiatives promoting digital twins and ethical technology integration, emphasizing human-centric digitalization.

Katherine Davisمشاهده پروفایل

دانشیار

• Cyber-Physical Systems
• Power Systems Operation and Control
• Smart Grid Security
• +۳ مورد دیگر

Katherine Davis is an Associate Professor in the Department of Electrical and Computer Engineering at Texas A&M University, part of the College of Engineering. Her research focuses on cyber-physical systems, power grid security, and resilient energy infrastructure. She holds a Ph.D., M.S., and B.S. in Electrical Engineering from the University of Illinois Urbana-Champaign and the University of Texas at Austin. Her work addresses challenges such as cyber-physical attack detection, smart grid resilience, and integration of renewable energy systems. Education: Ph.D., Electrical Engineering (Power and Energy Systems), University of Illinois Urbana-Champaign, 2011 M.S., Electrical Engineering (Power and Energy Systems), University of Illinois Urbana-Champaign, 2009 B.S., Electrical Engineering (High Honors), University of Texas at Austin, 2007 Research interests include: - Operation and control of power systems - Cyber-physical security and situational awareness - Data-driven analysis of coupled infrastructure - Interactions between computer and power networks - False data injection attack detection using machine learning Her recent publications emphasize scalable tools for cyber-physical systems, AI-driven grid optimization, and resilient energy management. Notable trends include leveraging graph neural networks for anomaly detection, blockchain for secure data exchange, and multi-agent frameworks for distributed energy resources. Dr. Davis’s work has been applied to real-world scenarios such as wildfire response optimization and geomagnetic disturbance analysis. She collaborates on interdisciplinary projects involving cybersecurity, power systems engineering, and environmental resilience.

• Cybersecurity
• Critical Infrastructure Security
• Cyber-Physical Systems Security
• +۴ مورد دیگر

Vasileios Gkioulos is a Professor at the Department of Information Security and Communication Technology, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). His research focuses on cybersecurity for critical infrastructures, particularly in maritime and energy systems, with significant contributions to digital twins, threat modeling, and security policy frameworks. His work includes developing cybersecurity training programs, analyzing maritime navigation system vulnerabilities, and integrating safety-security co-engineering methodologies. He leads the Critical Infrastructure Security and Resilience group and has published extensively on topics like cyber-physical ranges, secure autonomous ship architectures, and wireless security testbeds. Recent articles explore digital twin applications for threat modeling, DevSecOps in critical infrastructure risk management, and modular maritime cybersecurity training. His research also addresses social robots in public spaces, emphasizing business-system-security interdependencies and privacy protection. Professor Gkioulos collaborates with institutions globally, co-authoring publications with researchers like Sokratis Katsikas, Habtamu Abie, and Sandeep Pirbhulal. His work spans journals such as International Journal of Information Security , Journal of Marine Science and Engineering , and Computers & Security , alongside conference proceedings and technical reports.

• Information Systems
• Information Security
• Information Management
• +۶ مورد دیگر

Dr. Sarfraz Iqbal is an Assistant Professor at Linnaeus University's Department of Computer and Systems Science. He holds a PhD from Luleå University of Technology, specializing in Information Systems with focus areas of Information Security, ICT4D, and E-learning. His work bridges technical and societal dimensions of digital transformation. Focus areas include data governance, hybrid intelligent systems, and elderly healthcare digitization Active in GDPR compliance research and robotics in home healthcare Contributions to pedagogical development in information security education Research Trends Recent publications demonstrate expertise in: Medical imaging AI applications Public sector information security governance Smart wearables for aging populations Privacy-compliance intersections in emerging technologies Human-centric approaches to machine learning Blockchain data processing challenges

• Econometrics
• Financial Econometrics
• Time Series Analysis
• +۵ مورد دیگر

Prof. Barbara Będowska-Sójka is affiliated with the Department of Econometrics at the Institute of Informatics and Quantitative Economics , Poznan University of Economics . Her academic career spans roles as Professor (2022), Professor Assistant (2015), and Doctor (2004). Research focuses on financial econometrics , cryptocurrency markets , market volatility , and portfolio management . Active in time series modeling , liquidity analysis , and data-driven financial research . Her recent publications explore cryptocurrency return networks , energy efficiency hedging , and gender disparities in finance journal editorial boards , reflecting interdisciplinary applications of econometrics and AI in finance.

Xianwen Shiمشاهده پروفایل

استاد

• Microeconomic Theory
• Industrial Organization
• Mechanism Design
• +۷ مورد دیگر

Xianwen Shi is a Professor of Economics at the University of Toronto, currently on leave. He holds positions at both the downtown St. George campus and the Mississauga campus. With a Ph.D. from Yale University (2007), his research focuses on mechanism design, information design, voting theory, and search and matching markets. His work bridges microeconomic theory and industrial organization, addressing strategic interactions in auctions, voting systems, and market design. Shi's academic journey includes degrees from Peking University (M.A., 1999) and Beijing Jiaotong University (B.S. in Civil Engineering, 1996). He has held progressive roles at the University of Toronto since 2007, advancing from Assistant to Associate Professor before becoming full Professor in 2018. His research contributions span topics like optimal voting rules, discriminatory information disclosure, and auction mechanisms with limited commitment. Notable awards include the Dean's Excellence Award (2017 and 2011). He has advised on complex economic policies and contributed to foundational theories in multidimensional voting and competitive price discrimination. Shi’s work often intersects theoretical rigor with practical applications, such as analyzing platform privacy policies and designing optimal patent systems. He maintains active collaborations with institutions like the Rotman School of Management and has taught advanced microeconomic theory, managerial economics, and undergraduate economics courses.

Janet Boddyمشاهده پروفایل

استاد

• Child Welfare
• Family Studies
• Social Work
• +۳ مورد دیگر

Prof Janet Boddy is a Professor of Child, Youth and Family Studies at the University of Sussex's School of Education and Social Work. She also holds an Adjunct Professorship at OsloMet University's Childhood, Family and Welfare Division. Her research focuses on family dynamics, child welfare systems, and qualitative methodologies, with a particular emphasis on marginalized communities and care-experienced young people. Education: BSc Psychology (University of Glasgow), PhD (UCL Institute of Child Health). Professional roles include Deputy Head of the School of Education and Social Work and Founding Director of the Centre for Innovation and Research in Childhood and Youth at Sussex. She co-leads the Family Research Network and serves on multiple advisory boards, including the Nuffield Family Justice Observatory. Research Interests: Family policy, child protection, care leavers' outcomes, qualitative longitudinal methods, and cross-national studies. Recent work includes evaluations of UK social care innovations and international studies on young adults' transitions from care. Key Awards: 2020 Fellow of the Academy of Social Sciences. Grants/Projects: National Evaluation of A Better Start (2015-2025), Care Leavers 10 Years On (Ireland), and multi-country studies on youth resilience. Supervised PhD research on political participation among care-experienced young people. Labs/Teams: Co-founded the Centre for Innovation and Research in Childhood and Youth (2016-2019) and collaborates across institutions globally.