جست‌وجوی استاد و پژوهشگر

• Human-Computer Interaction
• Cybersecurity
• Privacy and Ethics in Technology
• +۵ مورد دیگر

Leah Zhang-Kennedy is an Assistant Professor at the Stratford School of Interaction Design and Business, University of Waterloo. She holds a cross-appointment in Faculty roles, focusing on interdisciplinary research at the intersection of technology, ethics, and human behavior. Her research explores privacy implications in emerging technologies like AI, IoT, and extended reality (XR), with a focus on deceptive design patterns, cybersecurity education, and cryptocurrency user behavior. Key themes include ethical responsibility in AI failures, user perceptions of smart home devices, and mitigating privacy harms through storytelling and design interventions. Zhang-Kennedy’s work spans over a decade, with publications analyzing deceptive game mechanics, VR privacy risks, and children’s online privacy education. Her projects often involve collaborative development of educational tools such as interactive comics and visualizations to enhance public understanding of security and privacy concepts. While no specific grants or awards are listed, her contributions highlight innovative approaches to addressing technology’s societal impacts through both critical analysis and practical design solutions.

Yaguang Zhangمشاهده پروفایل

استادیار بالینی

• Data Science
• Digital Agriculture
• UAV-Aided Wireless Communication Systems
• +۴ مورد دیگر

Dr. Yaguang Zhang is a Clinical Assistant Professor at Purdue University, jointly appointed in the Department of Agricultural & Biological Engineering (ABE) and the Department of Agricultural Sciences Education & Communication (ASEC) . Holding a Ph.D. in Electrical and Computer Engineering from Purdue (2021), he specializes in data science , digital agriculture , and UAV-aided wireless communication systems , with applications in intelligent transportation, proactive road maintenance, and engineering education. Education: Ph.D. and M.Sc. in Electrical and Computer Engineering (Purdue), B.Eng. in Communication Engineering (Tianjin University) Research Interests span cutting-edge domains including: Digital Agriculture: GPS-based field shape generation, product traceability trees, and automated metadata collection for agricultural operations Wireless Communication: Millimeter-wave channel modeling, UAV relay systems, and rural network coverage optimization Smart Infrastructure: Pavement condition assessment tools, sun-shadow simulation for road treatment, and vehicle automation platforms Recent Publications emphasize scalable solutions for agricultural IoT, machine learning in crop monitoring, and interoperable data frameworks. His scientific awards include: 2024 Outstanding Engineering Teacher (Purdue) 2024 ASABE Superior Paper Award 2020 FFAR Student Poster First Prize Multiple NSF/IEEE travel supports Grants from USDA, NSF, INDOT, and industry partners (CableLabs, Nokia) fund projects like tractor autopilot development, rural 6G networks, and pavement monitoring systems. He mentors graduate students in agricultural robotics , data science , and connected vehicle research .

Greg Zaharchukمشاهده پروفایل

استاد

• Neuroimaging
• Radiology
• Artificial Intelligence in Medical Imaging
• +۴ مورد دیگر

Greg Zaharchuk is a Professor of Radiology specializing in Neuroimaging and Neurointervention at Stanford University's School of Medicine. His academic roles include leadership in clinical and translational imaging research. He holds an MD from Harvard Medical School, a PhD in Applied Physics from Harvard/MIT, and dual undergraduate degrees in Materials Science & Engineering and German Studies from Stanford. Education: MD, Harvard Medical School (2000) PhD, Harvard/MIT (1999) BS & BA, Stanford (1990) Research Focus: Dr. Zaharchuk's work centers on advancing neuroimaging techniques for cerebrovascular diseases, stroke, and neurodegenerative disorders. He pioneers AI-driven innovations in MRI/PET fusion, low-dose imaging, and deep learning models to enhance diagnostic accuracy and clinical decision-making. Key areas include stroke outcome prediction, amyloid PET reconstruction, and cross-modality imaging integration. Research Trends: His recent articles emphasize AI applications in neuroimaging, such as improving low-field MRI quality and PET reconstruction using MRI priors. He also explores stroke lesion segmentation, CBF quantification, and the ethical implications of AI in neuroradiology. Affiliations & Labs: He leads the Center for Advanced Functional Neuroimaging at Stanford, advancing cutting-edge imaging technologies. His research bridges clinical practice and innovation, addressing challenges in ischemic stroke, Alzheimer's imaging, and radiation dose reduction. Grants & Collaborations: His work is supported by NIH grants and industry partnerships, focusing on multimodal imaging systems and AI-driven diagnostics. Collaborations include international neuroradiology societies and interdisciplinary teams in neurology and computer science.

• AI & Innovation
• Digital Transformation
• Fintech
• +۵ مورد دیگر

David Shrier is a Professor at Imperial College Business School, specializing in AI & Innovation. He co-directs the Trusted AI Alliance and serves as interim Academic Director of the Centre for Digital Transformation. His work bridges academia and industry, focusing on digital transformation, fintech, and ethical AI. He holds visiting roles at MIT School of Engineering and has pioneered educational innovations, including creating highly successful online courses that generated over $1 billion in academic revenue. Founder of Trusted AI Alliance and co-developer of the Trust::Data Initiative. Interim Academic Director, Imperial's Centre for Digital Transformation. Visiting Scholar at MIT School of Engineering, collaborating on commercialization models. His research interests include AI governance, fintech innovation, cybersecurity, and data privacy. He has advised governments and organizations globally, including the European Parliament and Commonwealth Secretariat. His books, such as Global Fintech (2022) and Basic AI (2024), explore technology's societal impact. He chairs startups like Orbu.AI and serves on NASDAQ-listed GRIID's board. Recipient of the 2022 Choice Award for Global Fintech . Launched initiatives such as the Oxford Cyber Security for Business Leaders program and the UN Data Academy.

• Access to Justice
• Legal Technology
• Financial Crisis
• +۷ مورد دیگر

Raymond H. Brescia is the Hon. Harold R. Tyler Chair in Law and Technology and a Professor of Law at Albany Law School. His work focuses on legal technology, access to justice, financial crises, and social change. He has authored over 60 scholarly papers addressing topics such as the impact of technology on legal services, the subprime mortgage crisis, and the role of law in addressing systemic inequalities. Research Interests: Brescia’s research spans legal innovation, AI in law, regulatory reform, and the intersection of technology and justice. He emphasizes how technological advancements can democratize legal services while addressing ethical and procedural challenges. His work on the financial crisis explores predatory practices and their societal impacts, advocating for regulatory reforms to prevent future crises. Publications: His most cited works include analyses of the subprime mortgage crisis, the transformative potential of the sharing economy in legal services, and the use of AI to address the justice gap. He frequently publishes in law reviews such as the Buffalo Law Review , Nebraska Law Review , and Florida State University Law Review . Contributions: Brescia has advised on policy reforms related to banking practices, consumer rights, and legal education. He co-authored studies on nonprofits’ legal needs and rural justice challenges, highlighting systemic gaps in access to legal resources.

Marina Fiedlerمشاهده پروفایل

استاد

• Artificial Intelligence in Organizations
• Information Systems and Organizational Behavior
• Sustainable Management Practices
• +۳ مورد دیگر

Prof. Dr. Marina Fiedler holds the Chair of Management, People and Information at the University of Passau since 2010. She is an Associate Editor at the Schmalenbach Journal of Business Research (SBUR) and heads the Passau experimental laboratory PAULA . Her academic journey includes a PhD (2004) and habilitation (2008) from the University of Munich, with visiting professorships at Corvinus University and State University of Management.

• Entrepreneurship Theory
• Strategic Management
• Economic Calculation
• +۶ مورد دیگر

Steven Phelan is a Professor of Entrepreneurship at Kennesaw State University , College of Business . With a career spanning 30+ years, he has taught MBA students globally, led entrepreneurship centers, and contributed to research on entrepreneurial theory, strategic management, and economic systems. His work explores intersections of AI ethics , institutional change , and competitive advantage . B.Sc. (Hons.) - University of Melbourne M.B.A. - Monash University Ph.D. - La Trobe University Dr. Phelan's research focuses on entrepreneurship theory, complexity science, and technological impact. His recent publications examine generative AI regulation , competitive advantage frameworks , and economic calculation debates in digital contexts. He employs agent-based modeling and multivariate analysis to investigate entrepreneurial behavior and firm dynamics. His work bridges machine learning ethics with Austrian economics , analyzing how artificial systems can replicate entrepreneurial processes. Current projects address innovation value creation , strategic landscapes , and institutional change .

William Marcellinoمشاهده پروفایل

استاد

• Artificial Intelligence
• National Security
• Social Media Analysis
• +۵ مورد دیگر

William Marcellino is a Senior Behavioral and Social Scientist at the RAND Corporation and a Professor of Text Analytics at the RAND School of Public Policy. He also serves as a lecturer at Carnegie Mellon University, where he earned his Ph.D. in rhetoric. His academic and research roles focus on AI applications, such as developing RAND-Lex, a proprietary text analytics tool, and teaching NLP and qualitative methods. Marcellino’s research expertise spans information operations, national security, social media analysis, and military technology. He previously served as a U.S. Marine tank officer and enlisted rifleman, informing his work on military resilience and defense-related AI acquisition. His recent work addresses AI’s role in disinformation, China’s AI exports, and ethical frameworks for influence operations. Education: Ph.D. in Rhetoric, Carnegie Mellon University Key Projects: RAND-Lex development, China AI Export Database, command narrative frameworks Notable Contributions: Analysis of social media’s role in conflict (e.g., Israel-Hamas, Ukraine-Russia), counter-radicalization strategies, and AI ethics.

Scott Thompson-Whitesideمشاهده پروفایل

استاد

• Human-centered Design
• Machine Learning
• EEG Data
• +۶ مورد دیگر

Scott Thompson-Whiteside is a Professor and Executive Dean at Torrens University Australia's School of Design and Creative Technology. With a career spanning over two decades, he contributes to research in human-centered design , machine learning , and sustainable transportation . His work bridges design innovation with technological solutions, particularly in electric bus systems and deepfake detection. Key Research Areas : Human-centered design, EEG data analysis, Industry 4.0, drone technology, design education Recent Research Trends (2022-2025): Machine learning in neurological disorder detection (e.g., epilepsy via EEG graphs) Deepfake detection techniques Design-led sustainable public transport systems in Malaysia Ethical frameworks for drone vision applications Industry 4.0 adoption challenges in creative sectors Academic standards in transnational education Academic Leadership : As Executive Dean, he actively supervises PhD students and influences higher education policy. His teaching innovations focus on design thinking and internationalization of curricula.

Maria Lilla' Montagnaniمشاهده پروفایل

استاد

• Intellectual Property Law
• Competition Law
• Digital Copyright
• +۲ مورد دیگر

Maria Lilla' Montagnani is a Full Professor of Commercial Law at Bocconi University and Director of the LL.M in European Business and Social Law (EBSL). She holds a Law Degree from Università Cattolica del Sacro Cuore (Milan), an LL.M from Queen’s University of London, and a PhD in Competition Law from Università degli Studi di Perugia. Her research focuses on AI governance, intellectual property law, digital copyright, competition law, and public art law. Educational Background: Law Degree: Università Cattolica del Sacro Cuore (Milan) LL.M: Queen’s University of London PhD in Competition Law: Università degli Studi di Perugia Her research interests emphasize the intersection of technology, law, and commerce. Notable areas include regulatory frameworks for AI, digital copyright challenges in the music and art sectors, and antitrust implications of IP misuse. Recent publications explore open patenting models, legal protection for art exhibitions, and the role of internet intermediaries in fostering creativity. No scientific awards have been explicitly mentioned in the provided texts. She teaches advanced courses such as "European and International Advanced IP Law," "Cyber Risk and Data Protection Law," and "Artificial Intelligence and the Law." No advising/grants information or lab affiliations were found in the text.

Mai Thaiمشاهده پروفایل

دانشیار

• Social Entrepreneurship
• New Venture Creation
• International Business
• +۵ مورد دیگر

Mai Thai is an Associate Professor in the Department of Entrepreneurship and Innovation at HEC Montréal. She holds additional roles as Director of the Social Business Creation competition and Researcher at Mosaic – Creativity & Innovation Hub. Her expertise spans Social Entrepreneurship, New Venture Creation, International Business, Strategic Management, Transition Economies, and Emerging Markets. Current research focuses on determinants of new venture creation, social business models, mechanisms for social impact, and immigrant entrepreneurship. Dr. Thai’s education includes a B.A. from Hanoi University, an M.B.A. from the University of Hawaiʻi, and a Ph.D. (Management) from the University of St. Gallen. Her research has explored topics such as Vietnamese family firm performance, social entrepreneurship education frameworks, and the impact of cultural and institutional factors on entrepreneurship. Her publications reflect a focus on global entrepreneurship challenges, including immigrant entrepreneurship dynamics, corporate frugality in crises, and AI startup legitimacy. She is affiliated with the Mosaic Hub, contributing to interdisciplinary creativity and innovation initiatives. No specific awards are listed, but her work emphasizes practical solutions for social and economic development in transitional and emerging economies.

Ben Loweمشاهده پروفایل

استاد

• Consumer Behavior
• Marketing Technology Adoption
• Social Marketing
• +۴ مورد دیگر

Ben Lowe is a Professor of Marketing at the Kent Business School, University of Kent, and currently serves as the Associate Dean of Research and Innovation. He has held leadership roles including Associate Dean for Global Engagement and Recruitment, Head of the Marketing Group, and Interim Director of Education. Additionally, he is Regional Editor (Europe) at the European Journal of Marketing , Associate Editor at the Journal of Advertising Research , and Associate Editor at the International Journal of Bank Marketing . His research focuses on consumer behavior, technology adoption, AI in advertising, and social marketing. He has supervised eight PhD students and won the 2011 Faculty of Social Sciences Teaching Award for integrating Twitter into marketing education. His work appears in renowned journals and he contributes to special issues on topics like AI and advertising, food consumption, and technology in marketing. Professor Lowe’s research interests span consumer adoption of innovations, marketing communications, and strategic marketing. He has edited special issues on AI and advertising, technology’s role in changing consumer behaviors, and food consumption. His teaching expertise includes marketing research and customer insights at postgraduate levels. He collaborates with public and private sector organizations on marketing challenges and actively participates in global academic conferences.

Jorge Bernal Bernabeمشاهده پروفایل

دانشیار

• Cybersecurity
• Internet of Things (IoT) Security
• Network Security
• +۷ مورد دیگر

Jorge Bernal Bernabe is an Associate Professor at the University of Murcia , affiliated with the Faculty of Informatics and the Department of Information and Communication Engineering . He holds a PhD in Computer Science from the University of Murcia (2015), focusing on 'Authorization and Trust Management in Distributed Systems Based on the Semantic Web.' His research group, Intelligent Systems and Telematics , explores cutting-edge cybersecurity solutions for IoT, 5G/6G networks, and privacy-preserving technologies. He is a key contributor to frameworks like OLYMPUS (privacy-aware identity management) and ARIES (European identity ecosystem). Education : PhD in Computer Science, University of Murcia (2015) Research Interests : His work centers on securing next-generation networks (e.g., 5G/6G), IoT privacy, federated learning applications for intrusion detection, blockchain-based identity systems, and policy-driven security enforcement. He emphasizes privacy-by-design principles and explores challenges in digital sovereignty and decentralized governance. Notable Projects : OLYMPUS: Oblivious identity management system ARIES: Pan-European identity framework ANASTACIA: Security agents for CPS/IoT INSPIRE-5Gplus: Cognitive security for 5G networks Labs/Teams : Active in the Intelligent Systems and Telematics Group , collaborating with industry partners on secure IoT deployments and 5G cybersecurity solutions.

• Public Financial Management
• Tax Digital Transformation
• Cost-Benefit Analysis
• +۶ مورد دیگر

Dr. Siamand Hesami is a Lecturer in Accounting and Finance at Bournemouth University's Business School, specializing in Public Financial Management and Tax Digital Transformation. His research focuses on cost-benefit analysis, electronic financial innovations, and administrative efficiency in tax systems. Collaborating with governments and intergovernmental organizations, he evaluates impacts of digital interventions in public finance. Professional memberships include the Association for Computing Machinery and Society for Benefit-Cost Analysis. Research interests include tax digital transformation, AI-driven finance, and oil price macroeconomic impacts. Notable works include a 2023 methodology for VAT return prefilling (Chile), a 2024 analysis of digital tax compliance, and a 2025 study on AI ethics in personal finance. His articles span journals like Strategy & Leadership , International Journal of Housing Markets and Analysis , and Energies . Contributions align with UN SDGs for Industry/Infrastructure (9), Reduced Inequalities (10), and Responsible Consumption (12). Advising includes multiple collaborations with institutions like the Inter-American Development Bank. Current work emphasizes AI ethics in finance and digital tax administration reforms.

Jimmy McGibneyمشاهده پروفایل

مدرس

• Network Security
• Artificial Intelligence
• Cybersecurity
• +۵ مورد دیگر

Jimmy McGibney is a Lecturer in the Department of Computing and Mathematics at Waterford Institute of Technology (WIT), now part of South Eastern Technological University (SETU). He holds a Master of Engineering from Dublin City University (1995) and a Bachelor of Engineering (Electronic) from University College Dublin (1992). His research focuses on network security, AI-driven cybersecurity solutions, trustworthiness in service compositions, and resource-constrained environments. External roles include serving as a Researcher at the Telecommunications Software and Systems Group (2000), a Research Assistant at Dublin City University (1996–1997), and a Systems Engineer at Aldiscon (1994–1996). His work emphasizes applied research in intrusion detection systems, network forensics, and trust management frameworks. Key research interests include AI applications in cybersecurity, trust metrics for service compositions, and securing edge computing environments. He has organized workshops on digital forensics and incident response, and his recent work explores AI methodologies for resource-limited systems. McGibney’s publications span over 38 works, including peer-reviewed chapters and conference contributions. Notable areas include network forensic readiness frameworks, deep learning-based intrusion detection, and trust overlays for spam protection. He has contributed to projects funded by industry and academic collaborations, focusing on practical cybersecurity solutions.