جستجوی استاد راهنمای دانشگاهی

Stacy Staniferمشاهده پروفایل

استادیار

• Lung Cancer Prevention
• Environmental Carcinogens
• Tobacco Control
• +۵ مورد دیگر

Dr. Stacy Stanifer is an Assistant Professor at the University of Kentucky College of Nursing , with affiliations to the Markey Cancer Center and Center for Appalachian Research in Environmental Sciences (UK-CARES) . Her work bridges clinical nursing expertise with population health, focusing on cancer prevention through environmental risk reduction. Doctor of Philosophy in Nursing (University of Kentucky, 2020) Master of Science in Nursing (University of Louisville, 2009) Bachelor of Science in Nursing (University of Kentucky, 2001) Director At Large, Bluegrass Oncology Nursing Society Dr. Stanifer's research addresses synergies between radon exposure and tobacco smoke in lung cancer prevention, with emphasis on shared decision-making in clinical settings and community-based radon testing interventions . She employs citizen science approaches and geospatial analysis to improve environmental health literacy. Her recent publications highlight innovative radon testing programs involving public libraries, climate change impacts on cancer care , and policy analysis of radon disclosure laws . Current projects include developing SDM decision aids for lung cancer screening that integrate radon mitigation messaging. Scientific awards include: 2024 Scholar, Environmental Health Research Institute for Nurse and Clinician Scientist Dr. Stanifer has secured significant NIH/NIEHS funding through grants like the UK-CARES Career Development Award and leads radon reduction initiatives through multi-institutional collaborations. Her work aligns with UN Sustainable Development Goal 3 (Good Health and Well-being) .

• Consumer Behavior
• Product and Service Experience
• Decision Science
• +۳ مورد دیگر

Maggie Wenjing Liu is a tenured Associate Professor in the Department of Marketing at Tsinghua University's School of Economics and Management (SEM). She holds leadership roles as Associate Director of the Computational and Behavioral Science Lab and China Retail Research Center, and Chair of the Marketing Department's Academic Seminar Committee. Education: Ph.D. in Marketing, Rotman School of Management, University of Toronto M.S. in Marketing, NUS Business School, National University of Singapore Bachelor in Economics, University of International Business and Economics Research Focus: Her work centers on consumer behavior , product/service experience , decision science , and pricing , examining psychological mechanisms through experimental and analytical methods. Key themes include ritualistic consumption, AI-human interaction in marketing, visual branding effects, and cross-cultural service responses. Publication Trends: Recent work (2017-2025) appears in top journals like Production and Operations Management (UTD) and Journal of Consumer Psychology (FT50), revealing strong interdisciplinary connections between behavioral science, marketing strategy, and data-driven consumer insights with increasing focus on AI applications and crisis response. Scientific Awards: National Natural Science Foundation Youth Project Outstanding Evaluation (2017) National Natural Science Foundation General Project Outstanding Evaluation (2021) Tsinghua University teaching reform project Grade A (2020) Beijing Higher Education Young Elite Scholar Award Two-time Outstanding Expert Reviewer (Journal of Marketing Science) Society of Asian Retailing and Distribution Best Paper Award Advising & Grants: As a doctoral advisor, she mentors PhD candidates who frequently co-author publications. She secured three National Natural Science Foundation General Programs, one Youth Project, three provincial/ministerial grants, and multiple Tsinghua projects, with two NSFC projects rated Outstanding upon completion. Labs & Leadership: She co-directs Tsinghua SEM's Computational and Behavioral Science Lab and China Retail Research Center, driving research at the intersection of marketing analytics, consumer neuroscience, and retail innovation while serving on editorial boards for Marketing Letters and Journal of Business Research .

Jie Haoمشاهده پروفایل

استادیار

• Financial Reporting
• Graphical Disclosure
• Sustainability Reporting
• +۴ مورد دیگر

Jie Hao is an Assistant Professor of Accounting at the Sigmund Weis School of Business, Susquehanna University , specializing in financial reporting, sustainability disclosures, and audit quality. Her work intersects corporate governance, gender diversity, and debt contracting. Ph.D. in Accounting, University of Texas at San Antonio MBA and MACC, DePaul University BS in Accounting, Nankai University Her research focuses on financial reporting transparency , graphical disclosure strategies , and gender dynamics in auditing . She explores how corporate culture influences debt pricing and ESG communication. Recent publications examine COVID-19 disclosures , auditor responses to traffic congestion , and non-GAAP earnings quality . Themes include regulatory compliance, stakeholder communication, and ethical frameworks. Scientific recognition : UTSA Business School Fellowship American Accounting Association Auditing Mid-Year Consortium Fellow Texas Tech University Presidential Scholarship She advises business school students and contributes to university committees on sustainability and scholarships. Her work bridges accounting standards, market behavior, and social responsibility.

Hoda Mehrpouyanمشاهده پروفایل

دانشیار

• Cybersecurity
• Cyber-Physical Systems
• Formal Verification
• +۳ مورد دیگر

Dr. Hoda Mehrpouyan is an Associate Professor in the Computer Science department at Boise State University. Her research focuses on privacy, security, and robustness of mission-critical cyber-physical systems, including water treatment plants, smart manufacturing, and smart cities. She has received significant funding, including a 2019 NSF CAREER Award for developing a security framework for industrial control systems (FORENSICS) and an NSF CRII grant in 2016. Additional support includes Idaho Secretary of State funding for election cybersecurity and NSA GenCyber Teacher Program grants for outreach. Her work integrates formal verification, model-based design, and resilience analysis to address cyber threats and system failures. Recent efforts include open-source simulation tools for hydraulic networks and Bayesian belief networks for cyber-informed engineering. She currently oversees a lab with open positions for master’s and PhD students, emphasizing interdisciplinary collaboration across system design, software engineering, and complex network theory. Research Interests Key areas include requirement analysis for safety-critical systems, compositional modeling, resilience frameworks for industrial control systems, and privacy engineering for ubiquitous systems. Her tools and methodologies aim to bridge gaps between theoretical models and practical implementations in safety-critical domains. Awards NSF CAREER Award (2019) NSF CRII Grant (2016) Idaho Secretary of State Funding (Election Cybersecurity) NSA GenCyber Teacher Program Support (2017, 2019) Lab & Collaborations Dr. Mehrpouyan’s lab focuses on developing open-source tools and frameworks for securing critical infrastructure. Current projects include FALCON (anomaly detection in ICS) and CoVeriTeam (cooperative verification of PLC programs). She collaborates with industry partners and government agencies to align research with real-world challenges in cybersecurity and resilience.

• Statistical Disclosure Control
• Missing Data Techniques
• Applied Statistics

Bronwyn Loong is a Lecturer at the Research School of Finance, Actuarial Studies & Statistics at the Australian National University (ANU). She holds a BActStud and BComm from ANU, and a PhD in Statistics from Harvard University. Her research focuses on statistical disclosure control, missing data techniques, and applied statistics. She has contributed to studies on healthcare economics, biomedical data analysis, and methodological advancements in statistical modeling. Key research interests include protecting data confidentiality while preserving analytic validity, handling missing data in surveys and clinical trials, and applying statistical methods to real-world problems in healthcare and insurance. Her work often involves collaborations with interdisciplinary teams and has led to publications in journals like Frontiers in Medicine and PLoS ONE . Dr. Loong is registered to supervise research students and has expertise in longitudinal studies, Gaussian copula models, and Bayesian methods. Her research has addressed topics such as lifetime health costs of intimate partner violence and adverse selection in healthcare systems.

• Cybersecurity
• Cryptography
• Computer Security
• +۳ مورد دیگر

Shahzad Ahmad is a Researcher at the Institute of Networks and Security within Johannes Kepler University Linz (JKU), actively affiliated with the LIT Secure and Correct Systems Lab. His work bridges theoretical cryptography and practical security implementations with geometric data applications. Master of Science (MSc) degree holder His research concentrates on cryptographic security mechanisms, including control flow integrity verification and deniable encryption systems, while also advancing geometric algorithms for point cloud manipulation. This dual focus demonstrates significant interdisciplinary contributions to both computer security and spatial data processing domains. Publication analysis reveals consistent innovation in cryptographic protocol design, particularly in malware-resistant instruction chaining and plausibly deniable storage systems. His geometric research shows methodological evolution from Euclidean foundations toward customized metric spaces for complex point cloud relationships. No scientific awards were documented in the source materials. Available records indicate no formal student advising responsibilities or grant funding disclosures. As a core contributor to JKU's LIT Secure and Correct Systems Lab, Ahmad participates in developing formally verified security architectures and cryptographic implementations resistant to side-channel attacks.

Michael Shekelyanمشاهده پروفایل

مدرس

• Data Management
• Database Systems
• Differential Privacy
• +۵ مورد دیگر

Dr. Michael Shekelyan is a Lecturer (Assistant Professor) in Computer Science at Queen Mary University of London (2023–present), part of the School of Electronic Engineering and Computer Science. He holds a PhD in Computer Science from the Free University of Bozen-Bolzano (2018) and a Diploma in Media Informatics from Ludwig Maximilian University of Munich (2014). Previously, he worked as a Research Associate at King's College London (2021–2023) and a Research Fellow at the University of Warwick (2018–2021). His academic journey includes roles as a Meta-Reviewer for NeurIPS and ICDT Proceedings Chair (2024), with extensive service as a reviewer for top conferences like ICML, NeurIPS, ICLR, and journals such as TKDE and IEEE T-IFS. Research Interests: Focuses on algorithms and data structures for managing large/sensitive datasets, including differential privacy, random sampling (e.g., Hidden Shuffle Method), and multidimensional data summarization (e.g., DigitHist). His work bridges theoretical guarantees with practical applications in data management and machine learning. Notable contributions include privacy-preserving top-k selection, efficient sampling over joins, and error-bounded data summaries. Publications: Over 15 peer-reviewed articles in top venues including SIGMOD, ICDE, EDBT, AISTATS, and PVLDB. Key works include 'Streaming Weighted Sampling over Join Queries' (EDBT'23), 'Sequential Random Sampling Revisited' (AISTATS'21), and 'Sparse Prefix Sums' (Information Systems'19, which won an ADBIS award). Grants/Awards: Received the ADBIS'17 Award for Sparse Prefix Sums. Active in organizing conferences and mentoring early-career researchers through reviewing roles. Current projects include a PhD studentship on privacy-preserving algorithms for medical data sharing. Labs/Teams: Leads the Privacy-Preserving Algorithms initiative at Queen Mary, collaborating with international research networks in database systems and data privacy.

Jörg-Rüdiger Sackمشاهده پروفایل

استاد

• Algorithms
• Computational Geometry
• Data Structures
• +۵ مورد دیگر

Jörg-Rüdiger Sack is a Chancellor's Professor in the School of Computer Science at Carleton University, where he has been a faculty member since 1983. He holds a Ph.D. from McGill University (1984) and degrees from the University of Bonn (Germany). His research focuses on algorithms, computational geometry, and geographic information systems (GIS), with recent work emphasizing shortest path algorithms in dynamic environments and data privacy techniques. Sack has held prestigious roles, including founding chair of NSERC’s national Computer Science Liaison Committee, editor-in-chief of Computational Geometry: Theory and Applications and Journal of Spatial Information Science , and chair of the Scientific Advisory Board of the Zuse Institute (Berlin). His academic contributions include foundational work in parallel computing, spatial modeling, and medical physics applications. He has led major initiatives such as the High Performance Computing Virtual Laboratory (HPCVL) and contributed to national and international scientific organizations, including the German Excellence Initiative and the Tricouncil+ Consultation on Big Data. Sack’s research has been supported by grants from NSERC, SUN Microsystems, and other organizations. His awards include the NSERC Industrial Chair in Applied Parallel Computing (1996) and a Carleton University Research Award. He remains actively involved in editorial and advisory roles, advancing both theoretical and applied aspects of computer science.

Emre Yetginمشاهده پروفایل

دانشیار

• Business Analytics
• Information Systems
• Business Data Analytics
• +۳ مورد دیگر

Emre Yetgin serves as Associate Professor and Director of the Center for Business Analytics within Rider University's Department of Information Systems, Analytics and Supply Chain Management. His academic credentials include: Ph.D. in Management Information Systems, University of Oklahoma (2015) M.B.A., Binghamton University (2010) B.S. in Mechanical Engineering, Middle East Technical University (2008) Dr. Yetgin's research centers on Business Data Analytics and Human-Computer Interaction, examining how digital interfaces shape decision-making processes and information exchange. His work on Computer-Mediated Communication investigates organizational dynamics in online environments, particularly regarding self-disclosure mechanisms and conflict resolution in virtual teams. Current projects explore cognitive aspects of data visualization and the psychological impact of digital cues in consumer review systems. Publication trends reveal an evolution from early work on social media activism (e.g., SOPA legislation discourse) toward contemporary research on business analytics education, cryptocurrency risk, and mindfulness in digital interactions. His 2020-2025 output demonstrates growing emphasis on self-disclosure theory and visual analytics pedagogy. No scientific awards are documented in available sources. While specific student advisement details are absent, his teaching portfolio indicates engagement with graduate and undergraduate researchers through courses in data mining, cybersecurity, and business application development. Grant activity remains unspecified in source materials. As Director of the Center for Business Analytics, Dr. Yetgin leads institutional initiatives advancing analytics curriculum development and industry partnerships, with recent focus on undergraduate business analytics model curricula.

Dorothee Marxمشاهده پروفایل

مدرس

• Disability Studies
• American Literature from the 19th to the 21st century
• African American Literature
• +۵ مورد دیگر

Dorothee Marx is a Lecturer and Research Associate at the Chair of North American Studies and Coordinator at the Center for North American Studies at Kiel University. She serves as Co-Speaker of the German Association for American Studies Diversity Roundtable and an editor at Closure: Kieler e-Journal für Comicforschung . PhD candidate in American Literary Studies at Kiel University Holds an MA in English and American Literatures, Cultures and Media (2016) Bachelor of Arts in English/American Studies and Scandinavian Studies (2012) Her research interrogates Disability Studies through literature, comics, and cultural studies, focusing on temporalities of disability , trauma narratives , and intersections with gender, race, and chronic illness . She pioneered affected scholarship by integrating her cystic fibrosis experience into academic work. Key trends in her publications include graphic medicine (30%), temporalities (25%), and intersectional analyses of disability (20%). Articles span journals like Journal of Literary and Cultural Disability Studies and Closure , plus book chapters on trauma and eugenics. 2020 Sabin Award for Comics Scholarship (International Graphic Novels and Comics Conference) 2019 Martin Schüwer Publication Award for Excellence in Comic Studies She has organized symposia including Moving Towards Collective Action: Activism and Academia (2022) and co-edited Laboring Bodies and the Quantified Self (2020). Her work appears in Zeitschrift für Disability Studies , Journal of the Austrian Association for American Studies , and Journal of Graphic Novels and Comics . She teaches courses on crip time , disability in American fiction , and comics research methodologies . Her current research project Bodies Irregular. Temporalities of Disability in Contemporary North American Literature explores how disabled characters' experiences challenge normative temporal frameworks in novels and comics. She also contributes to public discourse through interviews in Deutschlandfunk Kultur and taz .

Tim Hoffmannمشاهده پروفایل

دانشیار

• Discrete Differential Geometry
• Classical Differential Geometry
• Architectural Geometry
• +۴ مورد دیگر

Tim Hoffmann is an Associate Professor in the Department of Mathematics at the Technical University of Munich (TUM), where he heads the discrete differential geometry group and serves as a principal investigator at the DFG Collaborative Research Center Discretization in Geometry & Dynamics. He also co-manages enigame GmbH, organizing community puzzle events since 2019. His academic background includes a PhD from Technische Universität Berlin under Ulrich Pinkall, followed by postdoctoral positions at UMASS Amherst, Technische Universität Berlin, and TUM. He previously held a professorship at Kyushu University in Japan. Hoffmann's research centers on discrete models of classical differential geometry objects (particularly curves and surfaces), with applications spanning architectural geometry, integrable systems, mathematical physics, computer graphics, and geometry processing. His recent publications reveal an unexpected secondary focus on comparative data protection law across multiple jurisdictions, analyzing frameworks in Ghana, Switzerland, Brazil, and Japan through the lens of international data governance trends and regulatory strategies. As principal investigator for the DFG CRC, he leads cutting-edge research in geometric discretization while directing the discrete differential geometry group. Through enigame GmbH, he designs puzzles for team-building events and community engagement, demonstrating interdisciplinary application of mathematical thinking.

• Life Writing
• Graphic Narratives
• Digital Cultures
• +۵ مورد دیگر

Dr. Shannon Sandford is a Lecturer in Literary Studies at the School of Humanities, Languages and Social Science, Griffith University. She completed her BA (Hons) and PhD at Flinders University, South Australia. Her research explores self-representation, embodiment, and marginalized lives in exploratory literary forms, particularly focusing on graphic storytelling for personal disclosure of trauma, illness, violence, and displacement. Research interests center on: Life writing and autobiographical forms Graphic narratives and visual cultures Digital media and experimental literature Representations of trauma and marginalization Works by women, queer, non-binary, migrant, and refugee creators Publications demonstrate consistent focus on narrative forms in crisis contexts, with recent work analyzing refugee webcomics, ecological crisis narratives, and pandemic-era academic discourse. Article themes show strong interdisciplinary engagement with cultural, gender, and memory studies. Scientific awards include: GCSCR ECR Seed Funding Grant (2024) Transnational Literature Fellowship (2022-2023) Best Higher Degree by Research Student Publication (2022) Currently serves as Associate Supervisor for doctoral research on collaborative storytelling in aged care. Affiliated with the Griffith Centre for Social and Cultural Research, contributing to Sustainable Development Goals on Gender Equality and Reduced Inequalities.

• Point Cloud Processing
• Contrastive Learning
• Deep Learning
• +۳ مورد دیگر

Dasith de Silva serves as a Research Fellow in the Department of Computer Science and Software Engineering at The University of Western Australia's School of Physics, Maths and Computing. His research focuses on advancing 3D computer vision through innovative point cloud processing techniques. His core research spans: Point cloud normal estimation and filtering algorithms Contrastive and representation learning for 3D data Deep learning architectures for geometric computer vision Height map-based 3D reconstruction methods He develops state-of-the-art solutions addressing fundamental challenges in point cloud analysis and processing. Analysis of his 2019-2024 publications reveals an evolution from soft matter physics toward specialized computer vision work. His recent contributions (2022-2024) demonstrate increasing sophistication in deep learning approaches for point cloud tasks, with significant advances in iterative filtering and joint normal estimation techniques published in top venues like CVPR and IEEE Transactions on Visualization and Computer Graphics. No scientific awards are documented in available sources. Current information indicates no formal academic advising responsibilities or research grant disclosures. His collaborative network shows international partnerships primarily in computer vision research.

Alan Mathiosمشاهده پروفایل

استاد

• Health Policy
• Regulatory Economics
• Consumer Behavior
• +۴ مورد دیگر

Alan Mathios is a Professor at Cornell University's College of Human Ecology, specializing in health policy and regulatory economics. His research focuses on FDA regulatory policies' impact on consumer behavior, particularly regarding tobacco products, food advertising, and pharmaceutical marketing. He has held leadership roles including Dean of the College of Human Ecology (2007-2018) and Commissioner at the Middle States Commission on Higher Education (2013-2020). His work explores tax policies on smoking, health warning labels' effectiveness, and the interplay between advertising and public health outcomes. Education: Ph.D. from the University of Pennsylvania (Economics), B.A. from SUNY Buffalo. He previously worked at the Federal Trade Commission's Division of Economic Policy Analysis. Awards include SUNY's Chancellor’s Award for Teaching and Cornell's Carpenter Advising Award. Research interests include tobacco harm reduction, consumer policy dynamics, and the economic implications of regulatory interventions. His funded projects involve organizations like the National Cancer Institute and the Foundation for a Smoke Free World. He co-edits the Journal of Consumer Policy and has published extensively on topics ranging from menthol cigarette prohibitions to vaping misinformation effects. Grants and advising: His research has been funded by major health foundations. He advises on policy issues related to consumer protection and public health. Notable contributions include studies on graphic cigarette warnings' impact, youth vaping behavior, and the socioeconomic effects of smoking cessation policies. Labs/Teams: Collaborates with interdisciplinary teams across public health, economics, and policy studies. Active in global health initiatives through Cornell's College of Human Ecology.

Yanlin Wangمشاهده پروفایل

دانشیار

• Second Language Acquisition
• Online Language Education
• Multimedia Instruction in Foreign Languages
• +۴ مورد دیگر

Yanlin Wang is an Associate Professor of Practice in the Department of Classical & Modern Languages & Literatures at Texas Tech University. Their research focuses on second language acquisition, online language education, and multimedia instructional strategies. Specializing in Chinese language pedagogy, they investigate factors affecting student motivation, cross-cultural learning experiences, and the psychological well-being of international students. Their work also explores the efficacy of digital tools in language learning, including cognitive load theory applications and comparative studies of online teaching methodologies. Office: CMLL 234 Email: yanlin.wang@ttu.edu Research interests span online language education during the pandemic, teacher self-efficacy, and the impact of multimedia design on cultural learning. Their studies often bridge theoretical frameworks like cognitive load theory with practical classroom applications, emphasizing both technological innovation and student-centered approaches. Publications highlight trends in global language education challenges, including comparative analyses of Chinese language learners in China and the U.S., the role of chat partners in language anxiety reduction, and systematic reviews of East Asian student mental health. Their work underscores the importance of personalized instruction, cross-cultural adaptation strategies, and the integration of technology to enhance language proficiency. No scientific awards or grants are explicitly mentioned in the provided materials.