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Hui ZhaoView profile

Professor

• Healthcare Analytics
• Pharmaceutical Supply Chain
• Health Public Policy
• +3 more

Professor Hui Zhao holds the rank of Professor of Supply Chain Management and serves as Co-Director for Research at the Center for Supply Chain Research within the Smeal College of Business, Pennsylvania State University. She specializes in applying analytics to healthcare systems, focusing on pharmaceutical supply chains, public policy, and innovative healthcare technologies like telehealth. Her research addresses incentive misalignment in healthcare value chains, with notable contributions to drug shortages, pricing, and technology-driven solutions. Education: PhD in Industrial Engineering, Purdue University (2003) MS in Industrial Engineering, Purdue University (2002) CERT in Applied Management Principles (Mini-MBA), Purdue University (2001) MS and BE in Mechanical & Manufacturing Engineering, Tianjin University (1997, 1994) BS in Industrial Economics and Systems Engineering, Tianjin University (1994) Research Interests: Professor Zhao’s work spans healthcare analytics, pharmaceutical supply chain optimization, health policy, and telehealth innovation. She employs machine learning and data science to address systemic challenges like drug pricing and illicit online pharmacies. Her research bridges academia and practice, informing government agencies (e.g., FDA, HHS) and industry consortia such as Xavier Health’s AI initiative in healthcare. Publications & Awards: Her work has been published in top-tier journals and recognized with awards including a Pierskalla Award finalist nod (2015), Ralph Gomory Industry Studies Award runner-up (2018), and SCOR Innovation Award (2018). Her research emphasizes practical impact, with presentations to HHS and FDA expert panels. Advising & Collaborations: Advises students on healthcare systems and policy. Collaborates with industry and government to translate research into actionable policy recommendations. Actively involved with Xavier Health’s AI in Healthcare Initiative.

• Social Media
• Disinformation
• Political Communication
• +3 more

Darren L Linvill is a Professor at Clemson University’s College of Arts and Humanities. He serves as Co-Director of the Watt Family Innovation Center and leads the Media Forensics Hub, focusing on social media disinformation analysis and mitigation. His academic work bridges communication theory with practical digital security challenges. Research Interests : Darren’s scholarship examines social media disinformation , particularly state-sponsored influence operations and troll behavior. He analyzes how coordinated networks manipulate civil discourse, explores AI’s role in propaganda generation, and investigates the psychological impacts of inauthentic content. His interdisciplinary approach combines political communication, cybersecurity, and media studies. Academic Background : Ph.D., Clemson University (2008) M.A., Wake Forest University (2002) B.A., Wake Forest University (1999) Recent Work Trends : His publications reveal a focus on AI-enhanced disinformation strategies, cross-border troll activities, and digital influence in geopolitical conflicts. Key themes include troll identity manipulation, algorithmic propaganda amplification, and the intersection of technology with political discourse. Public Engagement : Beyond academia, Darren contributes to mainstream media outlets like The Washington Post , Foreign Affairs , and Lawfare , translating technical findings into accessible policy discussions.

Wan-Chen LeeView profile

Assistant Professor

• Knowledge Organization
• Metadata and Classification Theory
• Cultural Context in Information Work
• +3 more

Wan-Chen Lee is an Assistant Professor at the University of Wisconsin-Milwaukee's School of Information Studies. She holds a PhD and multiple master's degrees from the University of Washington Information School. Her research focuses on knowledge organization in cultural contexts, metadata design for multimedia resources, and ethical AI in librarianship. Dr. Lee investigates inclusive data practices, including metadata for video games, anime, and fiction, emphasizing cultural stewardship and global-local tensions. Education: PhD in Information Studies, University of Washington Master of Science in Information Science, University of Washington Master of Library and Information Science, University of Washington Bachelor of Arts in Library and Information Science, National Taiwan University Research Interests: Her work addresses challenges in cataloging, classification theory, and metadata standards across cultures. Recent projects include AI ethics in libraries, mood metadata for fiction using emojis, and genre analysis of anime. Dr. Lee’s research has been funded by the American Library Association and the Northwestern Mutual Data Science Institute. Grants & Awards: ALA Carnegie-Whitney Grant (2024-2025) for Ethical AI and Librarianship: A Resource Guide NMDSI Student Research Scholars Program (2024-2024) on Ethical AI UWM Research Assistance Fund (2022-2023) for Emoji and Emotion Categories in Fiction Teaching: Courses include Organization of Information, Data Curation, and Doctoral Seminars in Knowledge Organization.

Stephanie KhouryView profile

Assistant Professor

• Ethnomusicology
• Cultural Anthropology
• Southeast Asian Performing Arts
• +7 more

Dr. Stephanie Khoury is an Assistant Professor in the Department of Music at Tufts University's School of Arts and Sciences. With extensive fieldwork experience in Southeast Asia and diasporic communities in France/USA, her research examines performing arts through social structures, collective memory, and intangible heritage frameworks. PhD in Anthropology (Université de Paris Ouest Nanterre, 2014) Co-editor for Brill Publishing's Global Arts of Performance book series Her research focuses on: Music's role in mass atrocities and social justice Soundscapes and musical place construction Digital humanities applications for sound archives Cambodian performance traditions and diaspora expressions Music as political dissent Intangible heritage intersectionality Recent publications analyze: Digitized oral history preservation (2020) Cambodian theatre's role in memory (2017) Sound archives' impact on ethnomusicology (2014) Scientific awards include: Florence Gould Foundation Fellowship (2006) Quai Branly Museum Fellowship (2007) Sorbonne Postdoctoral Fellowship (2015) Autoritas Program Fellowship (2017) Mentoring students through: Tufts' Laidlaw Scholars program Summer Scholars and GREAT initiatives Tufts University Prison Initiative (TUPIT, since 2024)

• User Experience (UX)
• Digital Pedagogy
• Educational Innovation
• +3 more

Jill Griffiths is Head of the School of Digital Arts (SODA) and Reader in Pedagogical Innovation at Manchester Metropolitan University (MMU). In her leadership role, she provides strategic direction and operational management for the School. Previously, she held roles as Section Leader and Principal Lecturer at MMU’s iSchool, Research Fellow at CERLIM (Centre for Research in Libraries and Information Management), and Research & Project Manager at MDR Partners. Currently, she serves as External Examiner for Degree Apprenticeships at Kingston University, London. Her academic expertise focuses on pedagogical innovation, curriculum design, and digital education models. A pioneer in degree apprenticeships, she co-developed MMU’s first such program in 2015—the BSc (Hons) Digital and Technology Solutions—and led the BSc (Hons) Digital User Experience apprenticeship. Her research explores user experience (UX), digital interaction in cultural collections, and academic/commercial sector behaviors. She has led over 20 nationally/internationally funded projects, including the EU FP7-funded PATHS project for personalized digital cultural heritage access. Griffiths has published extensively in journals like the International Journal of Cultural Policy , Journal of Librarianship and Information Science , and Library Trends . Her work spans book chapters in digital library development, information literacy, and e-learning. She has presented at conferences including the International Conference on Applied Human Factors and Ergonomics and Museums and the Web. Recent initiatives include UX consultancy for a global commercial organization and guidance on MMU’s BA (Hons) Creative Digital Design apprenticeship. Her research emphasizes cultural sustainability, digital pedagogy, and innovative educational delivery models.

Jody M. KlymakView profile

Professor

• Physical Oceanography
• Geophysical Fluid Dynamics
• Ocean Mixing
• +4 more

Jody Klymak is a Professor in the School of Earth and Ocean Sciences and Department of Physics and Astronomy at the University of Victoria. His research focuses on physical oceanography, particularly small-scale ocean flows and their impacts on larger circulation patterns, including waves, turbulence, fronts and eddies. Research interests center on ocean mixing processes driven by topography and mesoscale stirring, coastal transport dynamics, and energy dissipation mechanisms. Current projects include C-PROOF, SWOT Balance/Imbalance studies, and International Year of Salmon physical oceanography research. Education: PhD in Physical Oceanography, University of Washington MSc in Physical Oceanography, University of Washington BSc in Mathematics and Physics, University of Victoria Research employs seagoing data collection, numerical experiments, and innovative instrumentation to understand energy dissipation pathways and mixing processes. Active projects investigate submesoscale streamers, internal wave generation, and turbulent mixing across diverse oceanic environments from Arctic channels to subtropical fronts. Scientific Awards: Award for Research Excellence, University of Victoria (2010) Editors' Citation for Excellence in Refereeing, Journal of Geophysical Research (2010) The Ocean Physics Group collaborates with the Institute of Ocean Sciences on instrumentation development and maintains extensive field observation programs using gliders, current meters, and other autonomous platforms to study coastal and open-ocean processes.

Christopher JeschelnikView profile

Lecturer

• Multimodal composition
• Multimodal analysis
• Mediated dialogue
• +3 more

Christopher Jeschelnik is a Lecturer at the School of Communication, Simon Fraser University, where he teaches courses in digital media communication and empirical research methods. His educational background includes: PhD student in Educational Technology & Learning Design at Simon Fraser University (2012) M.A. in School of Communication at Simon Fraser University (2010) B.A. in School of Communication at Simon Fraser University (2003) Jeschelnik's research focuses on multimodal composition and analysis, mediated dialogue, metadata and communication design, and situated pedagogical design. His work bridges theoretical frameworks with practical applications in educational technology and communication studies. He examines how different modes of communication interact and how dialogue is shaped through various media platforms. Currently teaching CMNS 226 Digital Media Communication Techniques in Summer 2025 and CMNS 201W Empirical Communication Research Methods in Fall 2025, Jeschelnik brings his research expertise into the classroom to help students develop skills in digital media production and research methodology.

Hao ZhengView profile

Assistant Professor

• Computer Architecture
• AI/ML Systems
• Domain-specific Accelerators
• +4 more

Hao Zheng is a tenure-track Assistant Professor in the Department of Electrical and Computer Engineering at the University of Central Florida , specializing in computer architecture and AI/ML systems . He received his Ph.D. from The George Washington University in 2021, advised by Prof. Ahmed Louri. Research Focus: Domain-specific accelerators, wafer-scale integration, hardware-software co-design, and AI-assisted chip design. Teaching: EEL6938 (Computer Architecture for AI/ML) since Fall 2025. His recent work explores graph neural networks , vision transformer acceleration , and secure on-chip communication , with publications at top venues like ISCA, MICRO, and DAC. He serves as an Associate Editor for IEEE Transactions on Computers and IEEE Transactions on Sustainable Computing. Notable honors include the NSF CAREER Award (2025) , GWU ECE Best Dissertation (2022) , and multiple AMD Fellowships for his students. His iCAT Lab focuses on cutting-edge research in computer architecture, supported by grants from L3Harris and NVIDIA .

Sarah BarriageView profile

Associate Professor

• Information Science
• Library Science
• Youth Information Behavior
• +3 more

Sarah Barriage is an Associate Professor in the School of Information Science at the University of Kentucky's College of Communication and Information (CI). She holds a Ph.D. from Rutgers State University (2018) and specializes in youth information behavior, library science, and LGBTQ+ studies. Her work bridges child psychology and information practices, with notable contributions to understanding drag queen storytimes in public libraries and youth substance use prevention. Research interests include how children and youth engage with information in educational and social contexts, ethical implications of technology use, and inclusive library programming. She has been awarded the ALISE/ProQuest Methodology Paper Competition (2017) and has received grants from the Office of the Vice President for Research (2020-2021) and the American Library Association (2019-2021). Her recent articles explore topics such as bibliographic invisibility in LGBTQ+ materials, privacy concerns in educational technologies, and decision-making processes for controversial library programs. She collaborates with institutions like the Lucille Little Library and emphasizes interdisciplinary approaches to information science.

Beth BlochView profile

Assistant Professor

• Library Science
• Information Studies
• Biomedical Ethics
• +4 more

Beth Bloch is an Assistant Professor in the School of Information Science at the University of Kentucky. Her work bridges information science, biomedical ethics, and technology design, focusing on issues like healthcare privacy, LGBTQ+ representation in children's literature, and biomedical innovation ethics. Education: PhD in Library and Information Science, University of Illinois - Urbana (2020) MS in Library Science, University of Denver (2007) MA, San Diego State University (2005) Research Interests: Bloch explores intersections of technology and societal impact, including metadata analysis for bibliographic representation, cybersecurity in medical devices, and ethical implications of emerging biotechnologies. Her work emphasizes user-centered design principles and equitable access to information. Advising & Grants: No formal advising/grant details provided in text. Focus appears to be on collaborative research projects in information science and healthcare technology. Labs/Teams: Affiliated with the School of Information Science's research initiatives on biomedical informatics and health equity.

Ryan IpView profile

Researcher

• Risk Analysis
• Spatial Statistics
• Agricultural Science
• +3 more

Ryan Ip is a researcher affiliated with Charles Sturt University's Computing, Mathematics and Engineering School, contributing to the Data Science and Engineering Research Unit, DaMRG (Data Mining Research Group), and the Imaging and Sensing Research Group. He holds a PhD in Statistics (2015) and a Bachelor of Science in Risk Management Science from The University of Hong Kong (2010). His research focuses on spatial statistics, risk analysis, agricultural sustainability, and machine learning applications. Key areas include geostatistical modeling of environmental data, resilience in agricultural systems, and decision-making frameworks under uncertainty. Collaborative projects span climate-smart agriculture, pandemic modeling, and cybersecurity in agrotech. Notable achievements include grants for modeling pandemic interventions and agricultural data governance frameworks. He has published widely in environmental science, statistics, and data mining, with recent work addressing regenerative agriculture and resilient community planning. Education : PhD in Statistics, The University of Hong Kong (2011–2015) Bachelor of Science (Risk Management Science & Finance), The University of Hong Kong (2007–2010) Grants/Awards : DSRU Summer Scholarship (2021) Covid-19 firewall strategy modeling grants (2020) Labs/Teams : Data Mining Research Group (DaMRG) Imaging and Sensing Research Group His interdisciplinary work bridges statistical methodologies with real-world challenges in agriculture, health, and infrastructure, emphasizing data-driven decision frameworks.

Sebastian SchmidlView profile

Researcher

• Distributed Computing
• Data Profiling
• Time Series Anomaly Detection
• +3 more

Sebastian Schmidl is a Ph.D. researcher at the Information Systems Group (University of Potsdam, Digital Engineering Faculty ). He is also affiliated with the Big Data Analytics Group at Philipps-Universität Marburg . Research Interests : Distributed computing, time series anomaly detection, data profiling, and scalable reactive systems using actor programming. Academic Roles : Supervised multiple master's and bachelor's theses, delivered guest lectures on reproducibility and order dependencies, and contributed to academic reviewing for conferences like SIGMOD and journals like SoftwareX. His recent publications focus on time series anomaly detection , data profiling query languages , and distributed algorithm design . He has collaborated extensively on benchmarking frameworks and optimization techniques for univariate and multivariate time series data.

Christopher ShepardView profile

Assistant Professor

• Pedology
• Soil Formation
• Soil Physical Properties
• +2 more

Christopher Shepard is an Assistant Professor in the Department of Plant and Soil Sciences at the University of Kentucky's Martin-Gatton College of Agriculture, Food and Environment. He holds a Ph.D. in Soil, Water and Environmental Science from the University of Arizona (2018), complemented by M.S. (2014) and B.S. (2011) degrees in Environmental Science. Research focuses on pedology and soil formation processes, with emphasis on fragipan genesis, mineral-organic interactions, and topographic influences on soil properties. His work employs advanced spectroscopic techniques and geospatial analysis to understand soil health in agricultural and natural systems. Award recognition includes multiple graduate research prizes from the Soil Science Society of America. Recent publications examine phosphorus cycling, mineral weathering, and karst landscape soil variability, frequently utilizing Kentucky's diverse geological settings as model systems.

• Image Analysis
• Pattern Recognition
• Document Analysis
• +3 more

Dr Christian Clausner is a Research Fellow at the University of Salford, affiliated with the School of Science, Engineering & Environment and the Informatics research center. He holds a part-time PhD in Computer Science, completed in parallel with his academic role. His research focuses on image analysis, pattern recognition, and document analysis, with a particular emphasis on OCR technology, historical document digitization, and semantic metadata frameworks. Education: Studied Computer Science and Artificial Intelligence in Germany. Professional Experience: Joined academia in 2009 after private sector work, specializing in technical workflows for large-scale document digitization projects. Research Highlights: Developed NAME XML for entity-relation tagging, contributed to OCR evaluation tools, and led initiatives like the 1961 UK Census digitization and crowdsourcing for tabular data extraction. He co-chaired HIP workshops in 2021 and 2023, advancing historical document processing standards. Key Projects: WaterAGRI (2020–2024), Europeana Newspapers OCR workflow, and the Medical Officer of Health Reports scoping study. His work bridges computer science and cultural heritage, addressing challenges in text recognition, layout analysis, and semantic labeling.

Konstantinos LimniotisView profile

Lecturer

• Cryptography
• Boolean Functions
• Network Security
• +5 more

Konstantinos Limniotis is an ICT Specialist at the Hellenic Data Protection Authority since 2009 and an active academic teaching at multiple Greek and Cypriot universities. He is currently teaching 'Network and Telecommunications Systems Security' at the University of Athens, 'Cryptography' and 'Security risk management' at the Open University of Cyprus, and has previously taught at the University of Peloponnese, Harokopio University of Athens, and Technological Educational Institutes. Since 2022, he is a member of ENISA's Ad Hoc Working Group on Data Protection Engineering. Dr. Limniotis received his B.Sc. in computer science (1999), M.Sc. in communications systems and networks (2002), and Ph.D. in 'Signal Processing Techniques in Cryptography' (2007) from the Department of Informatics and Telecommunications at the National and Kapodistrian University of Athens, under the supervision of Professor N. Kalouptsidis. His research focuses on the intersection of cryptography, security, and data protection. Dr. Limniotis has made significant contributions to cryptographic Boolean functions, particularly in algebraic immunity properties, and has extended his expertise to practical applications in data protection and privacy. His work bridges theoretical cryptography with real-world applications in personal data protection, particularly in the context of GDPR compliance. Recent research directions include post-quantum cryptography, blockchain security, and privacy-enhancing technologies for emerging applications like AI systems and IoT ecosystems. His publications demonstrate a clear trajectory from theoretical cryptographic research to applied security and privacy solutions that address contemporary regulatory and technological challenges. Dr. Limniotis has received multiple 'Excellence in Teaching' Awards from the Open University of Cyprus (2019-2023), recognizing his contributions to cybersecurity education. His teaching spans graduate programs in Computer and Network Security, Telecommunications Systems, and Data Science. As an active contributor to data protection policy, Dr. Limniotis has participated in multiple ENISA reports on pseudonymization techniques, data protection engineering, and personal data sharing. His work with the Hellenic Data Protection Authority since 2009 demonstrates a strong commitment to bridging academic research with practical data protection implementation.