جست‌وجوی استاد و پژوهشگر

Deborah Agostinoمشاهده پروفایل

دانشیار

• Management Accounting
• Public Sector Accounting
• Cultural Institutions
• +۳ مورد دیگر

Deborah Agostino is an Associate Professor of Management Accounting at Politecnico di Milano and a core faculty member at Polimi Graduate School of Management. She teaches financial and management accounting in executive and post-graduate courses and serves on the scientific committee of the EIASM Public Sector Conference. Her research focuses on performance measurement and digital innovation in public sector and cultural institutions. Education: PhD in Management Economics and Industrial Engineering, Politecnico di Milano Master of Science in Management Engineering, Politecnico di Milano Her research explores digital technologies' impact on management accounting, particularly social media integration into performance measurement systems of cultural institutions. She investigates challenges in digital transformation and data-driven decision-making in public organizations. Key trends in her publications include digital innovation in museums, crisis management during pandemics, and big data applications in cultural sectors. Her work emphasizes online engagement tools, hybrid organizational governance, and social media's role in public accountability. Scientific Awards: Highly cited research in Public Relations Review for 'Using social media to engage citizens: A study of Italian municipalities' Deborah contributes to academic courses in accounting, finance, and heritage management. She leads the REMAPS Research Group (www.remaps.polimi.it), focusing on digital transformation in public and cultural sectors.

• Cybersecurity
• Cybercrime
• Information Security
• +۳ مورد دیگر

Marianne Junger is a Full Professor in the Department of Industrial Engineering & Business Information Systems. Her research focuses on cybercrime, ransomware, phishing, and cybersecurity policy. She has published extensively on topics such as attacker behavior in dark web forums, ransomware economics, and fraud victimization factors. Her work bridges criminology and cybersecurity, analyzing crime scripts, victim profiles, and law enforcement strategies. Key research interests include: Cybercriminal communication platforms Ransomware negotiation tactics and profitability Phishing adaptation during crises Victim reporting behavior and fraud awareness Cybercrime coordination models Recent articles analyze ransomware attack economics, dark web forum user behavior, and victim deception dynamics. Over 140+ publications span conference proceedings, journals, and datasets like the ransomware attack analysis in Zenodo. Active collaborations include global cybercrime studies and law enforcement intervention evaluations. Media contributions include discussions on European cybercrime prevalence. Her work informs cybersecurity policy through empirical social science frameworks.

Christiane Woopenمشاهده پروفایل

استاد

• Medical Ethics
• Bioethics
• Health Policy
• +۳ مورد دیگر

Prof. Dr. Christiane Woopen is a Professor at the University of Bonn's Medical Faculty, leading the establishment of the Center for Life Ethics. Formerly, she was Managing Director of ceres (Cologne Center for Ethics, Rights, Economics, and Social Sciences of Health) and Chair of the German Ethics Council. She holds academic memberships in prominent institutions like Academia Europaea and the Berlin-Brandenburg Academy of Sciences. Her research focuses on medical ethics, bioethics, and healthcare policy, with emphasis on aging societies, health literacy, and neuroethics. Notable awards include the Federal Cross of Merit 1st Class (2017). Her work spans international advisory roles, including the European Group on Ethics in Science and New Technologies. She has authored over 200 publications across ethics, health policy, and biomedical research, emphasizing interdisciplinary approaches to ethical challenges in modern medicine. Education: MD from University of Bonn (1993), Philosophy studies at Universities of Bonn and Hagen (1982–1988). Key Roles: Chair of German Ethics Council (2012–2016), Member of UNESCO's International Bioethics Committee, Co-spokesperson of Germany's Data Ethics Commission. Research Themes: Ethical dimensions of healthcare innovation, personalized medicine, pandemic ethics, and societal aging. Her contributions include pioneering frameworks for outcome assessment in deep brain stimulation and advocating for ethical digital health practices. Ongoing work addresses challenges in predictive medicine and genomic editing governance.

Kaiwen Sunمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Privacy and Security
• Human-Centered AI
• +۴ مورد دیگر

Kaiwen Sun is an Assistant Professor in the Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington. Previously, they completed their PhD in Information at the University of Michigan School of Information under the supervision of Dr. Florian Schaub and Dr. Chris Brooks. Their academic background includes an M.S. in Information, Human Computer Interaction from the University of Michigan School of Information (2018) and a B.S. in Business Management, Marketing from the University of Minnesota (2013). Dr. Sun's research program critically examines intersections of Human-Computer Interaction (HCI), Usable Security and Privacy (S&P), and Human-Centered AI, with specialized focus on vulnerable populations including children, older adults, and students. Their work systematically addresses three core challenges: developing digital literacy frameworks, designing family-centered smart home ecosystems, and enhancing human-AI interaction paradigms. Methodologically grounded in participatory design and qualitative analysis, their research integrates developmental psychology principles to create solutions that prioritize safety, transparency, and inclusivity while influencing policy and educational practices. Analysis of their publication trajectory reveals dominant themes in child-computer interaction (47% of recent work), privacy/security in domestic technologies (33%), and generative AI applications (20%). Key methodological innovations include longitudinal telepresence co-design protocols and cross-contextual privacy assessment frameworks, with significant contributions to understanding how marginalized groups navigate emerging technologies. Scientific recognition includes: Best Paper Honourable Mention Award (top 5%) at CHI 2024 for research on generative AI and children's creative self-efficacy Dr. Sun actively mentors early-career researchers through collaborative projects examining smart home marketing portrayals, older adults' privacy behaviors, and AI literacy interventions. Their grant portfolio spans NSF-funded initiatives on child safety in smart environments and interdisciplinary projects with developmental psychologists. Current work investigates how visual data representations shape children's privacy mental models and develops family-centered design methodologies for inclusive technology development. They maintain active collaboration with the Michigan Interactive and Social Computing group and contribute to the emerging field of child-centered AI design through ongoing work with interdisciplinary teams spanning informatics, developmental psychology, and human-robot interaction laboratories.

Shoshana Vassermanمشاهده پروفایل

استادیار

• Industrial Organization
• Applied Microeconomics
• Information Economics
• +۳ مورد دیگر

Shoshana Vasserman is an Assistant Professor of Economics at Stanford Graduate School of Business and a Faculty Research Fellow at the National Bureau of Economic Research. Her research applies industrial organization and applied microeconomics to policy analysis, focusing on information revelation, risk sharing, and commitment mechanisms in contexts such as public procurement, pharmaceutical pricing, and auto insurance. She received her PhD in Economics from Harvard University in 2019, an AM in Economics from Harvard (2016), and a BS in Mathematics and Economics from MIT (2013). Prior to joining Stanford, she was a Postdoctoral Fellow at the Stanford Institute for Economic Policy Research. Vasserman's work often combines theoretical modeling with empirical analysis to study auction design, privacy policies, and market efficiency. Her publications appear in leading journals including Econometrica and PNAS. Honors include: Rosenberg Faculty Scholar (2023–24) Lacob Family Faculty Scholar (2021–22) Padma Desai Dissertation Prize (2019) She teaches courses in data-driven decision making (OIT 274) and mentors students through the Research Fellows Practicum (GSBGEN 697). Current projects explore congestion pricing, bargaining in pharmaceutical markets, and robustness measures for welfare analysis.

Aftab Ahmadمشاهده پروفایل

استاد

• Machine Learning
• Cyber Security
• Public Health Prediction
• +۵ مورد دیگر

Aftab Ahmad is a Professor in the Department of Computer Science at the City University of New York (CUNY), specializing in cybersecurity and machine learning applications. He holds a Doctor of Science from George Washington University. His research focuses on developing machine learning algorithms for cyber threat intelligence (CTI) and public health prediction, along with designing secure generative deep learning models resistant to reverse-engineering. Key research areas include: Cybersecurity frameworks and privacy-preserving architectures Generative adversarial networks (GANs) with embedded security features Biomedical signal analysis and human body channel modeling Secure wireless protocols for critical infrastructure His publication trends emphasize: Privacy metrics and data protection mechanisms Smart grid and IoT security Neuroscience-inspired machine learning models Wireless network vulnerability assessments No scientific awards or grants were explicitly mentioned in the provided texts. He teaches advanced courses in computer security and network forensics at undergraduate and graduate levels. No advising relationships or lab affiliations were detailed in the available information.

Clare J FitzGeraldمشاهده پروفایل

مدرس

• Public Services Management
• Governance
• Public Procurement
• +۵ مورد دیگر

Dr Clare J FitzGerald is a Lecturer in Management & Organisation at King’s Business School, King’s College London. She holds a PhD in Public Administration from North Carolina State University and previously served as a Research Fellow at the University of Oxford’s Blavatnik School of Government. Her research focuses on public service delivery, governance transitions, and the role of legal frameworks in enabling public value creation. She has led evaluations for UK government departments and is a Fellow of Advance HE. Education: PhD in Public Administration (North Carolina State University, 2016), Master’s in Public Administration (North Carolina State University). Her work is funded by UK Research & Innovation and has been published in journals like Public Money & Management and Public Management Review. She co-authored the book Public Contracting for Social Outcomes (Cambridge University Press, 2024). Research interests include outcomes-based contracting, public procurement, performance management, and emergency response. She has received the 2017 Innovations in American Government Award for the iThrive mobile application. Current projects explore resilience in public service partnerships and pandemic-era procurement reforms. Grants: ESRC-funded projects on pandemic procurement and VCSFE support needs Awards: 2017 Innovations in American Government Award Labs/Teams: Collaborates with the Blavatnik School of Government and UK government agencies on policy evaluations.

• Machine Learning
• Social Media Analysis
• Public Health
• +۳ مورد دیگر

Lydia Manikonda is an Assistant Professor in the Department of Information Systems and Web Science at the Lally School of Management, Rensselaer Polytechnic Institute (RPI). She is also affiliated with the AIRC (Artificial Intelligence Research Center) at RPI. Her research focuses on developing intelligent decision-making models using data from social media, online forums, and news articles to address challenges in business, public health, and technology. Her work has been recognized with awards, including the Best Reviewer Award at ICWSM 2016 and the Outstanding Demonstration Award at ICAPS 2014. Dr. Manikonda holds a PhD in Computer Science from Arizona State University (2019). Her research interests span interpretable machine learning, privacy in AI systems, social media analytics, and the societal impacts of technology. She has published extensively on topics like misinformation detection, ethical AI design, and pandemic-related behavioral shifts. Education: PhD in Computer Science, Arizona State University (2019) Her recent work emphasizes interdisciplinary approaches to tackle real-world problems, such as predicting intimate partner violence using machine learning and analyzing anti-Asian hate discourse on Reddit during the pandemic. She collaborates with interdisciplinary teams to bridge gaps between technical innovation and societal needs. Key Awards: Best Reviewer Award at ICWSM 2016 Outstanding Demonstration Award at ICAPS 2014 Dr. Manikonda's research also explores anthropomorphism in voice assistants, temporal privacy concerns, and the role of emotional cues in medical crowdfunding platforms. She actively participates in academic leadership roles, such as organizing the Web Science 2024 conference. Her lab focuses on actionable domain models and data-driven decision-making, with applications in healthcare, technology ethics, and public policy. She mentors students in these areas and is committed to advancing AI for societal good.

• Social Cognition
• Attention Mechanisms
• Action Observation
• +۵ مورد دیگر

Professor Andrew Bayliss is a Professor in Psychology at the University of East Anglia's School of Psychology, where he serves as Social Cognition Research Group Lead and UEA UOA4 Psychology REF coordinator. He joined UEA in 2011 after completing his PhD at Bangor University and holding postdoctoral fellowships with the ESRC, Leverhulme Trust, and University of Queensland. Undergraduate Degree: Bangor University PhD: Bangor University Postdoctoral Fellowships: ESRC, Leverhulme Trust, University of Queensland His research spans social cognition, attention-action interactions, and individual differences, with specific focus on face perception, eye gaze processing, and objects in social contexts. Utilizing methodologies including eye tracking, motion capture, EEG, and fMRI, his work examines how social cues guide attention and influence behavior. Current projects investigate gaze understanding development, interpersonal agency, and autism interventions using natural scenes. Analysis of his recent publications reveals a strong emphasis on social attention mechanisms, particularly gaze leading phenomena, interpersonal distance effects, and neural correlates of shared attention. His work increasingly integrates autism research with social cognition paradigms while maintaining core investigations into attentional orienting and agency perception. Bayliss actively contributes to the academic community through editorial roles at Psychological Review and Psychonomic Bulletin and Review, peer review activities, and consultancy work including the Social Neuroscience of Cinema Attendance project. He maintains international collaborations, notably with Paris Nanterre University. As Social Cognition Research Group Lead, he oversees a dynamic team investigating the neural and cognitive mechanisms underlying social interactions. His lab employs multimodal approaches to study real-time social processing, with recent work expanding into human-robot interaction and pandemic-related social adaptations.

Najarian R. Petersمشاهده پروفایل

دانشیار

• Privacy Law
• Artificial Intelligence Governance
• Child Law
• +۶ مورد دیگر

Najarian R. Peters is an Associate Professor of Law and Linda D. Ferrell and Richard C. Tombari Honors Faculty Fellow at the University of Kansas School of Law. She is also a faculty associate at the Berkman Klein Center for Internet and Society at Harvard University since 2018. J.D., Notre Dame Law School (2006) B.A., Xavier University of Louisiana (2002) Her research focuses on privacy law, child law, home-education, emerging technology, and legal history. She explores the intersection of race, gender, and technology in legal contexts, with a particular emphasis on Black liberation and privacy rights. Her work includes the recently developed course AI, Ethics and the Law and the Wellness in Democracy series co-hosted since 2022. Her publications span topics like FERPA compliance, AI governance, and racial privacy traditions. Notable works include the 2024 Kansas Personal Injury Law treatise and forthcoming 2027 books on privacy and Black liberation. She founded the PrivacyPraxis conference (2020) and actively presents at global academic forums. Linda D. Ferrell and Richard C. Tombari Honors Faculty Fellow (2023) Professor Peters teaches courses on torts, privacy law, and AI governance. She has contributed to journals like Michigan Journal of Race & Law , University of California Law Review , and Seton Hall Law Review . Her research addresses systemic legal issues, including healthcare privacy, social media data risks, and historical legal precedents.

Meredith Carrollمشاهده پروفایل

استاد

• Aviation Human Factors
• Human-Autonomy Teaming
• Urban/Advanced Air Mobility (AAM/UAM)
• +۵ مورد دیگر

Dr. Meredith Carroll is a Professor of Aviation Human Factors and Director of the ATLAS Lab at Florida Institute of Technology's College of Aeronautics. She holds a B.S. in Aerospace Engineering from the University of Virginia, an M.S. in Aviation Science from Florida Tech, and a Ph.D. in Applied Experimental Psychology and Human Factors from the University of Central Florida. Her research focuses on human performance in aviation systems, including decision-making under stress, human-autonomy teaming, advanced air mobility (AAM), and cybersecurity education. Key research initiatives include: Investigating trust dynamics in human-agent teams funded by AFOSR User-centered design of multi-UAV ground control stations for NASA eVTOL battery display design and pilot interface studies Cybersecurity curriculum development for underrepresented high school students Adaptive flight training strategies funded by the Naval Air Warfare Center Her lab facilities include Florida Tech's Center for Aeronautics and Innovation with advanced flight simulators and UAS testing environments. Current projects explore VR training immersion effects, multi-agent team repair strategies, and AAM operational challenges. She advises 12+ graduate and undergraduate researchers and collaborates with industry partners like P17 Solutions and Rockwell Collins. Recent publications emphasize trust calibration in autonomous systems, IoT-based cybersecurity education, and adaptive training efficacy. She has secured grants from NASA, FAA, AFRL, ONR, and NAWC totaling over $5M in external funding.

Ruoxu Wangمشاهده پروفایل

دانشیار

• Media Effects
• Strategic Communication
• Communication Technology
• +۳ مورد دیگر

Dr. Ruoxu Wang is an Associate Professor in the Department of Journalism and Strategic Media at the University of Memphis, affiliated with the College of Communication and Fine Arts. She joined the institution in 2017 after earning her Ph.D. from Penn State University and degrees from North Dakota State University. Her research bridges media effects, persuasion, and communication technology within strategic communication contexts, with publications in top journals like Computers in Human Behavior and Mass Communication and Society . Supported by grants such as the Communities of Research Scholars and CCFA Seed Grant, her work emphasizes digital media's societal impact. Education: Ph.D. in Mass Communications, Penn State University M.S. in Mass Communications, North Dakota State University B.A. in Journalism, Broadcasting, & Mass Communication Technologies, North Dakota State University Research Interests: Dr. Wang explores how communication technology shapes media effects and persuasive outcomes. Her focus areas include health communication, digital advertising strategies, user experience in interactive media, and pandemic-era behavioral adaptations. She employs mixed-methods approaches to analyze issues like social media engagement, gaming psychology, and organizational communication in crises. Awards: Top Three Paper Award (MMEE division, AEJMC) 2023 Dean’s Award for Outstanding Research (CCFA) 2021 Top Paper Award (AEJMC Southeast Colloquium) 2020 Multiple teaching/service recognitions including the D. Mike Pennington Mentorship Award (2020) Teaching & Service: Teaches courses like Visual Media, Advertising Research, and Social Media Analytics. Currently serves as Vice Head Elect in AEJMC’s Mass Communication and Society Division. Active in grant-funded research and interdisciplinary collaborations. Labs/Teams: Engaged in cross-departmental projects at the University of Memphis focusing on digital media innovation and strategic communication solutions.

Fady Alajajiمشاهده پروفایل

استاد

• Information Theory
• Communications
• Coding Theory
• +۵ مورد دیگر

Fady Alajaji is a Professor of Mathematics and Engineering at Queen's University, with a cross-appointment in the Department of Electrical and Computer Engineering. He holds a B.E. from the American University of Beirut, and M.Sc. and Ph.D. from the University of Maryland, College Park. His research focuses on information theory, coding for communication networks, probability models (e.g., Polya urns, contagion processes), and applications of information theory to machine learning (e.g., generative adversarial networks, data privacy). He has served as Associate Editor for the IEEE Transactions on Information Theory and has received awards for research and teaching. His work spans theoretical foundations (e.g., Shannon limits) and practical coding techniques for wireless systems. Education: B.E. (1988), M.Sc. (1990), Ph.D. (1994) in Electrical Engineering from the University of Maryland. Roles: Professor of Mathematics and Engineering, Cross-appointment in Electrical and Computer Engineering. Research Interests: Information theory, coding for communication networks, stochastic processes (network epidemics, Polya urn models), machine learning applications (information bottleneck, GANs), and data privacy. Recent work includes optimal signaling schemes for sensor networks, privacy-aware estimation, and curing models for contagion networks. Publications: Over 100 journal/conference papers, including foundational work on joint source-channel coding, hybrid digital-analog coding, and theoretical bounds for communication systems. Recent trends focus on information-theoretic machine learning and network science. Awards: Premier's Research Excellence Award (2001), Golden Apple Teaching Award (2015). Grants/Advising: Supervised postdoctoral fellow Jian-Jia Weng. Active in conference organization and editorial roles. Labs/Teams: Member of the Mathematics and Engineering Communications and Information Theory Group at Queen's University.

• Database Management
• Spatial-Textual Data Processing
• Heterogeneous Data Usability
• +۶ مورد دیگر

Professor Zhifeng Bao is a faculty member at RMIT University's School of Computing Technologies. His research focuses on enhancing data usability across heterogeneous domains, including structured, unstructured, and spatial-temporal data. His work spans database management, keyword search optimization, social network analysis, and spatio-textual data processing. He coordinates the course COSC1169: Intranet and Internet Data Engineering and supervises PhD/Masters students in projects such as trajectory data processing, data asset valuation, and edge computing optimization. Research interests emphasize improving data accessibility and efficiency through methodologies like query relaxation, visual analytics, and provenance tracking. His recent projects include cost-effective edge node placement, traffic accident risk prediction, and differentially private federated learning. Teaching and supervision activities highlight a commitment to bridging theory and practical data engineering challenges.

Maxwell J. Smithمشاهده پروفایل

استادیار

• Public Health Ethics
• Infectious Disease Ethics
• Health Equity
• +۳ مورد دیگر

Maxwell J. Smith is an Assistant Professor at the School of Health Studies within the Faculty of Health Sciences at Western University . He holds multiple appointments across the Department of Philosophy , Schulich Interfaculty Program in Public Health , Department of Epidemiology and Biostatistics , and other research centers. As the Western Research Chair in Public Health Ethics , his work bridges bioethics, public health policy, and social justice. Research Domains: Public health ethics, infectious disease ethics, health equity, moral philosophy Collaborations: Social epidemiologists, global health organizations, interdisciplinary ethics institutes Key Focus: Ethical frameworks for pandemic response, health equity in policy-making His recent publications explore the intersection of ethics and epidemiology in health equity modeling, pandemic treaties, workplace vaccination mandates, and resource allocation during crises. He has contributed to high-impact journals like New England Journal of Medicine and The Lancet Infectious Diseases . Notable contributions include: Developing empirical ethics studies for public health policy Advocating for intersectoral action on health inequities Addressing systems thinking in ethical frameworks Global governance of pandemics Equity-focused vaccine monitoring strategies Dr. Smith’s work emphasizes translating philosophical ethics into practical public health solutions, with a strong commitment to social justice and interdisciplinary collaboration.