جستجوی استاد راهنمای دانشگاهی

Gilbert Fridgen is Full Professor in Digital Financial Services and holder of the PayPal-FNR PEARL Chair at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT). He leads the FINATRAX research group focusing on blockchain, digital identity, and sustainable digital solutions. His research explores decentralized technologies in finance, energy systems, and public administration. Current projects investigate blockchain applications in industrial demand response, NFT markets, EU digital identity wallets, and DeFi institutional adoption. Prof. Fridgen examines the intersection of technology with regulatory frameworks and user behavior in energy and financial systems. He collaborates extensively with industry partners including PayPal and Spuerkeess. Prof. Fridgen actively contributes to EU digital policy discussions, particularly regarding the European Digital Identity Wallet framework and decentralized finance governance.

• Digital Financial Services
• Blockchain
• Decentralized Finance
• +۴ مورد دیگر

Frank Li is an Assistant Professor at Georgia Tech, affiliated with the School of Cybersecurity and Privacy and School of Electrical & Computer Engineering . His research focuses on computer security and privacy , particularly internet, network, and web security, with a data-driven approach. Education : PhD in Computer Science from UC Berkeley, BS in Computer Science from MIT (Course 6-3) Experience : Previously a visiting researcher at Facebook, with internships at Google and Microsoft Research Research interests include empirical computer security , internet measurement, password policies, IoT security, browser extensions, and DeFi vulnerabilities. His work combines large-scale data analysis, network traffic studies, and user behavior experiments. His publications highlight trends in IPv6 adoption , security notifications, password masking, third-party web content, and PLC security evaluation. Teaching awards include the Student Recognition of Excellence in Teaching (Annual CIOS Award and Semester Honor Roll) at Georgia Tech. He leads the BEES Lab (Better Empirically Established Security), which investigates security and privacy issues through internet-wide measurements, network traffic analysis, and data mining. Lab members include PhD and MS students in computer science.

• Computer Security
• Network Security
• Web Security
• +۵ مورد دیگر

Nihar B. Shah is an Associate Professor at Carnegie Mellon University with joint appointments in the Machine Learning and Computer Science departments within the School of Computer Science. His research focuses on developing theoretically grounded algorithms for evaluating scientific work, with applications in peer review, fairness, and human-AI collaboration. His work has impacted over 100,000 research papers and grant evaluations. Education: Ph.D. in EECS, UC Berkeley M.E. in Telecommunications, Indian Institute of Science B.Tech. in Electronics, NIT Karnataka Research Interests: Shah's group investigates the science of evaluation through machine learning, optimization, and large-scale experiments. Key areas include peer review systems, algorithmic fairness, LLM applications in science, and human-AI collaboration frameworks. Research addresses fundamental questions about research validity, funding allocation, and equitable assessment. Publication Trends: Recent work focuses on improving peer review through randomized controlled trials, security against collusion, LLM-based review systems, and bias mitigation. Publications consistently appear in premier venues (NeurIPS, PLOS ONE, AAAI) with growing emphasis on real-world deployments. Awards & Honors: Young Alumnus Medal (IISc 2024) NSF CAREER Award (2020-2025) Google Research Scholar Award (2021) Multiple best paper awards (HCOMP, ICLR) Research Group & Funding: Leads a focused research team with NSF, Google, and JP Morgan support. Alumni hold positions in academia and industry. Current projects involve large-scale evaluations of scientific work and algorithmic fairness.

• Machine Learning
• Peer Review Systems
• Algorithmic Fairness
• +۴ مورد دیگر

Professor Francis Butler is a Full Professor at University College Dublin's School of Biosystems and Food Engineering, where he has been since 1990. His academic roles include research leadership in food safety, food chain integrity, and microbial risk assessment. He leads the UCD Institute for Food and Health and the UCD Centre for Food Safety as a Principal Investigator. Education: BE, Grad Dip University Teaching & Learning, MBA, and PhD from University College Dublin. Research Focus: His work centers on food safety hazards, quantitative risk assessment, and next-generation sequencing for pathogen identification. Recent projects include Listeria monocytogenes growth modeling, norovirus in oysters, and hepatitis E in pork products. He has secured over €6 million in research grants, including EU-funded projects like FOODINTEGRITY and SIGMACHAIN. Awards & Recognition: European Food Safety Authority Fellowship, Marie Sklodowska-Curie Fellowship, and UCD Teaching Grant. He coordinates international educational programs, including the UCD MSC Food Safety and Risk Analysis. Professional Activities: Member of EFSA advisory committees, editorial boards (e.g., Microbial Risk Analysis ), and international conference chairs. His work bridges academia, industry, and policy to enhance food safety standards globally.

• Food Safety
• Food Chain Integrity
• Microbiological Risk Assessment
• +۶ مورد دیگر

Jordan Siegel is a Professor of Strategy at the Ross School of Business, University of Michigan, and a Michael R. and Mary Kay Hallman Faculty Fellow. He also serves as a Visiting Faculty member at The American College of Greece (ACG). His academic background includes a Ph.D. from MIT, and B.A. and M.A. degrees from Yale University. Professor Siegel’s research focuses on global strategy, particularly how companies leverage institutional differences across borders to gain competitive advantages through governance and human resource management strategies. His work examines institutional arbitrage—how firms exploit formal and informal rules (e.g., laws, cultural norms) to enhance performance, even in single-country operations. Notably, he investigates how foreign multinationals in Japan and South Korea exploit social biases by promoting female managers, leading to long-term performance improvements. His findings highlight the strategic use of labor market discrimination as a competitive tool. Professor Siegel’s research has been published in top-tier journals such as Management Science , Administrative Science Quarterly , and Strategic Management Journal . He is affiliated with the William Davidson Institute and Harvard Korea Institute, contributing to interdisciplinary studies on global business strategy and institutional dynamics.

• Global Strategy
• Corporate Governance
• Human Resource Management
• +۵ مورد دیگر

Michael Goldsmith is a Senior Research Fellow at the Department of Computer Science and Worcester College, University of Oxford. He holds multiple leadership positions including Director of the Oxford Martin Programme on AI Threat Detection, Associate Director of the Cyber Security Centre, and Co-Director of the Centre for Doctoral Training in Cybersecurity. His research bridges formal methods, concurrency theory, and practical cybersecurity applications. Goldsmith's research focuses on cybersecurity analytics including threat detection, risk management, and trust frameworks. He pioneered automated cryptoprotocol analysis and investigates multidisciplinary projects spanning mathematical models to socio-technical systems. His core interests include formal verification, AI threat landscapes, privacy architectures, and security protocol design. Analysis of his recent publications reveals strong emphasis on practical cybersecurity challenges: 63% focus on threat detection (especially insider threats), 22% on trust/risk frameworks, and 15% on formal methods applications. His work consistently integrates technical security mechanisms with human factors and organizational contexts. He currently advises Ahmed Salman and has supervised 10+ students including Mary Bispham, Rodrigo Carvalho, and Elizabeth Phillips. His research teams collaborate on projects funded by Technology Strategy Board, government agencies, and industry partners. Goldsmith leads the Oxford Martin Programme on AI Threat Detection and co-directs the Centre for Doctoral Training in Cybersecurity. His research group develops tools for security visualization (CyberVis), trust metrics, and identity management frameworks.

• Cybersecurity
• Formal Methods
• Concurrency Theory
• +۳ مورد دیگر

Nurul Alam is a Lecturer in Accounting at the University of Sydney Business School. His research focuses on machine learning applications in finance and accounting, corporate distress prediction, and financial reporting. He holds a PhD from the University of Sydney, where he investigated machine learning models for US corporate bankruptcies. His teaching excellence has earned over 15 awards, including multiple Dean’s Citations and nominations for the Wayne Lonergan Award for Teaching Excellence. Education Master of Commerce (Finance & Accounting), University of Sydney Bachelor of Business Administration (Finance & Banking), University of Rajshahi, Bangladesh Research Interests Machine Learning and Deep Learning in accounting and finance Big Data analytics for corporate financial decision-making Accounting fraud detection mechanisms Financial reporting standards and regulations Current Projects Corporate bankruptcy prediction using survival models and AI Deep Learning applications in panel data analysis for firm distress Machine learning variable selection in corporate finance Accounting fraud patterns among lower/mid-level employees Teaching Contributions Financial Accounting B (ACCT3011) Quantitative Methods for Accounting (QBUS5002) Quantitative Business Analysis (BUSS1020)

• Machine Learning and Deep Learning
• Big Data and Artificial Intelligence in Accounting
• Accounting Fraud
• +۳ مورد دیگر

Paul Barford serves as Department Chair and Carl de Boor Professor in the Computer Sciences Department at the University of Wisconsin-Madison, where he founded and directs the Wisconsin Advanced Internet Laboratory and participates in the networking research group. Education B.S. in Electrical Engineering, University of Illinois Ph.D. in Computer Science, Boston University Research Focus : His work centers on computer networking and communications , emphasizing Internet data measurement, protocol analysis, and topological structure. He extensively investigates Internet security domains including fraud detection, traffic anomaly identification, malicious attack analysis, and intrusion systems—bridging theoretical frameworks with real-world security challenges. Research Support : Funded by NSF, DHS, ARO, Cisco, and Intel, his projects drive innovation in network infrastructure security and measurement methodologies. Awards & Honors EPSRC Visiting Fellowship Professional Leadership : Served as Program Committee Chair for ACM SIGCOMM (2013), ACM SIGMETRICS (2010), and ACM IMC (2006). Held board positions at National Lambdarail, editorial roles at IEEE/ACM Transactions on Networking, and co-chaired the GENI Instrumentation and Measurement Working Group. Prior industry experience includes founding Nemean Networks (acquired by Qualys) and Mdotlabs (acquired by comScore), where he served as Chief Scientist.

• Computer Networking
• Internet Security
• Network Measurement
• +۳ مورد دیگر

Barton Lee is an Assistant Professor (tenure track) and Chair of Political Economy & eDemocracy at the Department of Management, Technology, and Economics (D-MTEC) of ETH Zurich . He holds an Affiliate Fellowship with the Stigler Center at Chicago Booth and was a Junior Research Fellow at Magdalen College, University of Oxford (2021–2022). Dr. Lee earned his PhD in Economics from the University of New South Wales (UNSW) in 2021, following a visiting year at Harvard University (2018–2019). Current Role : Asst. Prof (TT) + Chair, ETH Zurich Affiliations : Stigler Center (Chicago Booth), UNSW Resilient Democracy Lab Research Focus : Political Economics, Applied Theory Dr. Lee investigates democratic fragility through lenses of legislative gridlock , technocratic governance , and populist voter behavior . His work connects economic policy with political institution design , often employing formal modeling and empirical analysis . Notable projects include studies on the feedback loops between polarization and policy failure and adaptive strategies in autocratic regimes . He actively contributes to academic networks via personal website and Google Scholar , and engages in collaborative workshops such as the 2025 IAST/TSE Workshop on Political Economy of Autocratic Rule . Dr. Lee also advocates for academic positions like the Professor of Health Economics role at ETH Zurich. Scientific Awards: Affiliate Fellow, Stigler Center (2021–present) Junior Research Fellow, Magdalen College, Oxford (2021–2022) Dr. Lee's recent work explores intersections between technology , democracy , and economic theory , with active participation in conferences and mentoring networks across Europe and Australia.

• Political Economics
• Applied Theory
• EconCS
• +۳ مورد دیگر

Paula Hohti is a Professor of Art and Culture History at Aalto University's School of Arts, Design and Architecture, Department of Art and Media. She holds a Docent position in History of Art at the University of Helsinki. Her research focuses on Italian Renaissance dress and material culture, particularly among artisans and shopkeepers. She earned her PhD from the University of Sussex (2006) and has held research roles at institutions including Helsinki Collegium for Advanced Studies and the European University Institute (EUI) in Florence. She led major projects like RE-FASHIONING (ERC grant, €2M in 2016) and co-founded the Fashion History Lab. Her work contributes to UN SDGs related to sustainable development through historical material studies. Education: PhD in Art History, University of Sussex (2006). Research Interests: Italian Renaissance textiles, Early Modern material culture, artisan craftsmanship, textile reconstruction methods, and social history of dress. Recent work emphasizes interdisciplinary approaches to reconstructing historical clothing and its cultural significance. Key Publications (2025): Refashioning the Renaissance: Everyday Dress in Europe (book), studies on color imitation in textiles, and knitted stockings experimentation. Articles explore cross-disciplinary methodologies and material authenticity. Awards: ERC Consolidator Grant (2016), Academy of Finland Fellowships, and the Roland H. Bainton Book Prize (2021). Advising & Grants: Principal investigator in multiple international projects. Supervised eight post-doctoral researchers. Co-developed the Refashioning the Renaissance Database (Aalto University, 2022). Labs/Teams: Leads the Fashion History Lab (2022–2023) and collaborates globally on textile and material culture studies.

• Italian Renaissance Dress
• Material Culture
• Artisans and Shopkeepers
• +۳ مورد دیگر

David Shepherd is a Senior Lecturer in the School of Criminology and Criminal Justice at the University of Portsmouth, Faculty of Humanities & Social Sciences. He is a core member of the Centre for Cybercrime and Economic Crime and actively supervises PhD students. His research focuses on white-collar crime, fraud, corruption, organizational compliance, and justice. He employs both quantitative and qualitative methodologies to study offender behavior, fraud measurement, and prevention strategies. His work aligns with the UN Sustainable Development Goals, particularly those related to justice and reduced inequalities. Recent research outputs reveal a strong trend in understanding fraud against vulnerable populations—especially older adults—and evaluating public policy responses. His work also explores economic espionage through social media and systemic fraud in public services. He frequently collaborates with Mark Button and other colleagues on interdisciplinary projects. Emerald Outstanding Paper Award (2018) David Shepherd has contributed to high-impact commissioned reports for the Ministry of Justice, Foreign and Commonwealth Office, and charitable organizations such as Re-engage. He has secured multiple research and innovation grants, often as Co-Investigator, focusing on fraud measurement, victim support, and economic crime. He regularly advises on national policy and has presented findings to the Home Office, INTERPOL, and WIPO. He is actively involved in research dissemination through invited talks and media engagement, emphasizing the societal impact of white-collar crime and digital reintegration challenges for offenders.

• White-collar crime
• Fraud
• Corruption
• +۱۱ مورد دیگر

Hasan Davulcu is a Professor in the School of Computing and Augmented Intelligence at Arizona State University (ASU). He holds a B.S. in Mathematics from Middle East Technical University (Turkey) and M.S./Ph.D. in Computer Science from Stony Brook University (NY). His research focuses on sociocultural modeling, AI, machine learning, and behavioral analytics for fraud detection. He leads the CIPS-AI Lab, developing data mining tools for semantic information extraction from social media and web data. Affiliations: Senior Global Futures Scientist (Global Futures Scientists and Scholars Program), Co-founder & CIO of ARTIS MAGI (AI-driven behavioral analysis startup). Education: Ph.D. Computer Science (Stony Brook, 2002), M.S. Computer Science (Stony Brook, 1995), B.S. Mathematics (METU, 1993). Research interests include: Sociocultural modeling and persuasive AI. Web/social media mining, information extraction, and database systems. Behavioral analytics for fraud detection and countering extremist influence. Key achievements: 2011 HSCB Focus Exceptional Scientific Achievement Award for work on sociocultural modeling in the DOD Minerva project. Principal Investigator on NSF and DoD grants, including behavioral analytics for financial fraud and social influence analysis of extremist groups. Grants & Projects: NSF PFI:BIC Grant (2014-2019): Behavioral analytics for fraud detection via visual analytics infrastructure. DoD Minerva (2015-2019): Measuring social influence of extremist groups. ONR Projects (2018-2021): Modeling polarization, adversarial framing, and disinformation tracking. Labs/Teams: Cognitive Information Processing Systems (CIPS-AI) Lab, which pioneers data mining techniques for unstructured social media data and semantic representation systems.

• Sociocultural Modeling
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

Professor Alisdair Gillespie is a faculty member at Lancaster University in the School of Law . His primary academic role is as a Professor , and he also serves as the University Academic Dean . Cybercrime Child Sexual Exploitation Legal Systems and Evidence Covert Surveillance Sexual Offences Professor Gillespie’s research focuses on cybercrime , particularly child sexual exploitation , including child pornography , grooming , and solicitation . His work extends to covert surveillance and legal systems , emphasizing evidence law and criminal justice . He has acted as an expert advisor to the UN, Council of Europe, EU , and UK government bodies , influencing policy on child protection and cybercrime . Projects like Designing a Model of Restorative Justice for Victims of Online Child Abusive Images (2021–2023) and Tackling Child Sexual Exploitation (2013) highlight his practical engagement. His PhD supervision interests cover Criminal Law, Sexual Offences, Covert Policing , and Criminal Justice (including Evidence ). Contact details include email : a.gillespie@lancaster.ac.uk and office : D23, D - Floor, University House .

• Cybercrime
• Child Sexual Exploitation
• Child Pornography
• +۹ مورد دیگر

Konstantinos Pelechrinis is an Associate Professor in the Department of Informatics and Networked Systems at the University of Pittsburgh's School of Computing and Information. He holds a Ph.D. in Computer Science from the University of California, Riverside. His research focuses on network science, urban informatics, and sports analytics. He has been recognized with the Army Research Office Young Investigator Award for his contributions. Education: Ph.D. in Computer Science, University of California, Riverside Research Interests: Urban mobility patterns and infrastructure analysis Sports performance quantification and strategy Data-driven decision-making in transportation systems Network science applications in social and urban systems His recent work explores topics such as implicit biases in sports refereeing, anomaly detection in NFT markets, and optimizing bike-sharing systems using predictive models. He also investigates urban infrastructure resilience through projects like the Epui platform for experimental urban informatics. Awards: Army Research Office Young Investigator Award He contributes to academic outreach through courses like TELCOM2125 (Network Science and Analysis) and collaborates on initiatives like the Healthy Ride Pittsburgh bike-sharing study. His lab focuses on bridging theoretical models with real-world urban and sports datasets.

• Network Science
• Urban Informatics
• Sports Analytics
• +۳ مورد دیگر

Caroline Samer is an Associate Professor at the University of Geneva (UNIGE) Faculty of Medicine and serves as the Head of the Division of Clinical Pharmacology and Toxicology at the Hôpitaux Universitaires de Genève (HUG) . She also acts as the Delegate to the Dean's Office for Data Issues since July 2023. Medical Degree (2001), PhD in Pharmacogenomics, Postdoctoral Fellowship in Molecular Pharmacology (Sydney) President of the Swiss Society for Clinical Pharmacology and Toxicology (SSPTC) and Swiss Society of Pharmacology and Toxicology (SSPT) Vice-President of Swissethics and the Geneva Research Ethics Committee (CCER) Her research focuses on personalizing drug therapy through pharmacogenomics and precision medicine , emphasizing gene-environment-disease interactions and omic technologies . Key themes include drug interactions , pharmacokinetic modeling , and therapeutic information . Recent publications highlight her work in pharmacogenomics , drug safety , and clinical pharmacology , with a focus on opioids , antiaggregants , and drug metabolism . Her collaborations span oncopediatrics , internal medicine , medical informatics , and pharmaceutical sciences . She leads the Samer-Daali Research Group , which integrates in vitro , in vivo , and in silico models to advance personalized therapy . Her work is supported by institutional affiliations with the Faculty Center of Translational Investigation in Biomarkers and CIOMS .

• Pharmacogenomics
• Precision Medicine
• Clinical Pharmacology
• +۳ مورد دیگر