جست‌وجوی استاد و پژوهشگر

Rafael Pedraza Jimenezمشاهده پروفایل

دانشیار

• Information Science
• Communication Studies
• Website Quality
• +۶ مورد دیگر

Rafael Pedraza Jimenez is an Associate Professor and Serra Húnter Fellow in the Department of Communication at Pompeu Fabra University in Barcelona, Spain. He serves as Secretary of the Faculty of Communication and has established himself as a prominent researcher in website quality evaluation, information science, and communication studies. His work bridges theoretical frameworks with practical applications in digital media and information systems. His academic background includes: BA in Library and Information Science from the University of Granada (2000) MS in Communication Engineering from University Carlos III de Madrid (2005) PhD in Information Science from the University of Barcelona (2011) Dr. Pedraza Jimenez's research focuses on website quality evaluation , particularly in tourism and media contexts, as well as broader areas of information science and communication studies. His work examines how users interact with digital information, the quality metrics for evaluating websites, and the strategic design of digital communication platforms. He has developed innovative frameworks like the Double-entry Analysis System (DEAS) for comprehensive website quality evaluation that considers both technical and strategic aspects. His research demonstrates a strong methodological approach that combines theoretical frameworks with empirical validation, often through case studies in specific sectors like tourism. Analysis of his recent publications reveals a clear trajectory focusing on digital media quality assessment, with increasing attention to emerging technologies like voice search and immersive cinema. His work consistently addresses the intersection of information quality, user experience, and strategic communication in digital environments. The research shows strong methodological rigor with applications across multiple sectors including tourism, journalism, and academic communication. As a Serra Húnter Fellow, Dr. Pedraza Jimenez participates in one of Catalonia's prestigious academic career development programs designed to attract and retain top researchers. His work has been published in prominent journals in the fields of information science and communication studies, and he actively contributes to advancing methodological approaches in digital media research. Dr. Pedraza Jimenez is involved in research teams focused on digital communication and website quality assessment. His work with the DigiDoc Group at Pompeu Fabra University represents a collaborative effort to develop comprehensive frameworks for evaluating digital media and communication platforms. He has participated in multiple research projects examining information behavior, website quality, and digital communication strategies across various contexts including tourism, journalism, and academic dissemination.

• Machine Learning
• Deep Learning
• Computer Vision
• +۷ مورد دیگر

Guy Hembroff serves as an Associate Professor in the College of Computing at Michigan Technological University, where he directs both the MS in Health Informatics program and the interdisciplinary PhD in Computational Science & Engineering program. His academic leadership spans computational health sciences and biomedical data science initiatives. Education: PhD in Computational Science and Engineering, Michigan Technological University MPA in Public Administration, Northern Michigan University BS in Finance and Economics, Michigan Technological University Hembroff's research focuses on human health applications of artificial intelligence, particularly in medical image analysis, natural language processing, and cybersecurity. His work bridges clinical needs with computational solutions through projects like fracture risk prediction from radiographs, lung nodule classification, and mental health intervention modeling. The Biomedical Data Science (BDS) Lab he founded integrates expertise across medicine, data science, and cybersecurity to tackle healthcare challenges. His recent publications demonstrate strong trends in applying deep learning to medical imaging (35%), natural language processing for health literacy (20%), and mental health analytics (15%), with growing emphasis on generative AI applications since 2023. Key methodological approaches include multitask learning, transformer models, and ensemble techniques tailored for healthcare data. Doctoral Advising: Harikrishnan C. (Medical Image Segmentation using AI) Chethana Kadirimangalam (Mental Health Intervention Modeling) Abel Reyes (Medical Image Segmentation and Computer Vision) Tim Van Wagner (Blockchain for Patient Data Auditing) Hembroff leads multiple externally funded research initiatives including the Tick-Talk geographical tick disease monitoring system (MI-SAPPHIRE grant), FHIR-enabled health information exchanges, and mental health intervention optimization models. His BDS Lab maintains active collaborations with Henry Ford Hospital and nonprofit healthcare networks for real-world implementation of health informatics solutions. The Biomedical Data Science Lab operates as a multidisciplinary hub combining clinical expertise with computational innovation. Current projects span physical and mental health domains, with particular focus on disease progression modeling, clinical decision support systems, and secure health data architectures. The lab's work directly informs both graduate curriculum development and healthcare industry partnerships.

• Information Science & Library Science
• Computational Social Science
• Policy Simulation
• +۳ مورد دیگر

Zhuoren Jiang is a tenure-track Assistant Professor and Doctoral Supervisor at the Department of Information Resources Management, School of Public Affairs, Zhejiang University. He holds a Ph.D. and serves as a key faculty member in the department, with his office located in Room 612-2 of the School of Public Affairs building at Zhejiang University's main campus in Hangzhou. Dr. Jiang's research spans multiple interdisciplinary domains, with primary focus on Information Science & Library Science, Computational Social Science, Policy Simulation, and Artificial Intelligence Algorithms and Applications. His work bridges social science, data science, and computer science, creating innovative approaches to understanding complex social phenomena through computational methods. He has developed expertise in graph representation learning, large language models, and their applications in scientific impact prediction, legal reasoning, and policy analysis. His publication record reveals a strong trajectory in high-impact venues, with recent work focusing on multimodal business analysis, legal judgment prediction, policy style measurement, and scientific peer review systems. His research demonstrates an increasing emphasis on integrating large language models with graph-based approaches to solve complex interdisciplinary problems, particularly in the domains of legal informatics and scientific communication. Zhejiang University Teaching Excellence Award, 2024 Best Short Paper Awards Nominee, SIGIR Conference, 2024 Alibaba Research Fellowship, 2019 & 2020 Boya Postdoctoral Fellowship, Peking University, 2016 Best Poster Award, JCDL, 2013 Dr. Jiang actively mentors students and seeks highly self-motivated PhD and master's candidates interested in interdisciplinary research. He has served as principal investigator or sub-project lead for multiple research projects including National Key R&D Program, Major Projects of the National Social Science Foundation of China, and Projects of the National Natural Science Foundation of China. His academic service includes editorial board membership for Frontiers in Big Data and peer reviewing for numerous top journals including Information Processing & Management and Journal of the Association for Information Science and Technology. He maintains active collaborations with industry, having previously served as a consultant (visiting professor) at Alibaba DAMO Academy and currently as a collaborating expert at Tongyi Lab. His professional memberships include ACM (Association for Computing Machinery), ACM SIGIR, ACL (Association for Computational Linguistics), and ASIS&T (Association for Information Science and Technology).

• Human-Computer Interaction
• Software Engineering
• User Interface Design
• +۳ مورد دیگر

Aaron G. Cass is an Associate Professor of Computer Science at Union College in Schenectady, NY. His research focuses on human aspects of computing, particularly software design and user interface design. Ph.D. in Computer Science (2005) from University of Massachusetts Amherst Master’s (1996) and Bachelor’s (1993) degrees from University of Virginia Three-year industry experience at Motorola Research interests center on improving software design practices through experimental studies and tool development, with collaborations in human-computer interaction (HCI) focusing on undo mechanisms and human-robot interaction (HRI) challenges. His work spans process modeling patterns, constraint-based design guidance, and empirical evaluations of HCI/UX mechanisms. Recent publications (2000-2018) demonstrate sustained contributions to software engineering (process modeling, constraint management), human-computer interaction (undo systems, task modeling), and human-robot interaction. The research consistently bridges theoretical process models with practical implementation tools for novice designers.

Iris Feinbergمشاهده پروفایل

استادیار

• Health Literacy
• Adult Literacy
• Refugee Health
• +۳ مورد دیگر

Iris Feinberg serves as a research assistant professor at Georgia State University's College of Education & Human Development and associate director of the Adult Literacy Research Center. Her work bridges health literacy research with practical interventions for refugee, immigrant, and adult education communities across Georgia, emphasizing linguistic accessibility and cultural competence in healthcare systems. Her educational background includes: Ph.D. in Public Health: Health Behavior and Promotion from Georgia State University (2015), dissertation: Health Literacy in High-Risk Populations M.A. in Applied Linguistics from Georgia State University (2012), thesis: Linguistic Barriers to Health Care Access M.B.A. in Corporate Finance and Marketing from Temple University (1985) B.B.A. in Corporate Finance and Marketing from the Wharton School, University of Pennsylvania (1981) Feinberg's research centers on health literacy disparities among high-risk populations, with dual focus on refugee health access and Georgia's adult literacy ecosystem. She investigates structural barriers in healthcare communication, develops medical interpreter frameworks for lesser-spoken languages, and designs organizational strategies for health-literate cultures. Her work extends to adult basic education programs and high school equivalency initiatives, examining how literacy skills impact health outcomes and social mobility. Analysis of her 2023-2025 publications reveals three dominant trajectories: (1) Culturally adapted emergency health interventions like Stop the Bleed for refugee communities, (2) Medical interpreter workforce development addressing language gaps in healthcare, and (3) Caregiver empowerment programs (COPE-STAR) for children with medical technology. COVID-19 research constitutes a significant thread, particularly vaccine communication strategies and misinformation mitigation in marginalized populations. As co-principal investigator on an Institute of Education Sciences grant with Georgia's Technical College System, she leads statewide adult literacy initiatives. Her leadership extends to founding the Georgia Alliance for Health Literacy, where she shapes policy recommendations for health communication standards. Feinberg directs research operations at the Adult Literacy Research Center and collaborates extensively with Clarkston, Georgia's refugee resettlement organizations. Her community-engaged approach integrates academic rigor with on-the-ground implementation, particularly through health literacy training for medical students and refugee community health workers.

Lise Jaillantمشاهده پروفایل

استاد

• Digital Cultural Heritage
• Archival Science
• Artificial Intelligence in Cultural Heritage
• +۴ مورد دیگر

Professor Lise Jaillant is a leading scholar in Digital Cultural Heritage and Archival Science at Loughborough University’s School of Social Sciences and Humanities. Her work focuses on leveraging artificial intelligence (AI) to enhance accessibility and ethical management of archives, particularly government and colonial records. She holds a PhD from the University of British Columbia and an MA from Birkbeck, University of London. Research Interests: AI applications in archives, digital cultural heritage, publishing history, and policy engagement. Grants: Over £1M from funders including AHRC, British Academy, Leverhulme Trust, and Mellon Foundation. Key Projects: LUSTRE (AI for government archives), EyCon (colonial conflict photography), and AEOLIAN (international AI collaboration). Jaillant has authored/co-edited 25+ books and articles on topics like women poets in post-1960s Britain, creative writing programs, and AI-driven archival solutions. Her work bridges disciplines, emphasizing ethical AI and cross-sector collaboration. Professional roles include editorial board memberships and global grant review panels (e.g., British Academy, Swiss National Science Foundation). Awards: British Academy Leadership Fellowship (2018–20), Rising Star Engagement Award (2017–18). Policy Impact: Cabinet Office collaborations on digital preservation and AI ethics.

• emerging economy multinationals
• mergers and acquisitions
• headquarter-subsidiary relationships in multinational companies
• +۶ مورد دیگر

Dr. Annabel Sels is an Assistant Professor in the Department of Management, Strategy and Innovation at KU Leuven's Brussels Campus. As part of the Faculty of Economics and Business, she contributes to research and teaching in international business strategy with a focus on multinationals, mergers and acquisitions, and SME internationalization. Faculty of Economics and Business (FEB) Department of Management, Strategy and Innovation KU Leuven Alumni - Brussels Chapter President Leuven Centre for Irish Studies in Europe (Director Economics) Her research spans several key areas: Mergers & Acquisitions (especially Asia-EU deals) Emerging Market Multinationals Headquarter-Subsidiary Relationships Cultural Distance in International Business Health Care Management Economics of Culture Recent publications reveal consistent focus on cross-border investment dynamics, with particular attention to institutional frameworks and technological factors affecting M&A success in Asia-EU contexts. Her work also examines cultural integration in Japanese acquisitions and operational efficiency in healthcare settings. As an academic leader, she: Chairs the KU Leuven Alumni Policy Council Serves on the Campus Council (Teaching Staff Group 3) Participates in program committees for business education Coordinates international business courses at multiple levels

• Integer Programming
• Stochastic Programming
• High-Performance Computing
• +۳ مورد دیگر

Jeffrey Linderoth is a Professor in the Department of Industrial & Systems Engineering at the University of Wisconsin-Madison, within the College of Engineering. His research focuses on large-scale optimization problems, including integer programming and stochastic programming, with an emphasis on high-performance algorithms and software development. He holds a PhD from Georgia Institute of Technology (1998) and has been recognized with numerous awards, including INFORMS Fellow (2016) and multiple best paper awards in optimization journals. Linderoth is actively involved in teaching optimization courses such as COMP SCI 524 and I SY E 524, and mentors pre-dissertation and thesis research. Education: PhD (1998), MS (1994) – Georgia Tech; BS (1992) – University of Illinois Research Interests: Linderoth specializes in high-performance computing for optimization, numerical methods, and distributed algorithms. His work addresses challenges in computational grids, combinatorial optimization, and applications in fields like energy systems and computational biology. He has developed influential software tools like Minotaur for mixed-integer nonlinear programming. Recent Achievements: His 2024 work on stochastic integer programming and dual decomposition methods, as well as contributions to autocatalytic networks in origin-of-life studies, highlight his interdisciplinary impact. Linderoth has also been honored multiple times for teaching excellence, including the University Housing Honored Instructor Award (2019, 2016, 2008). Awards: Over 20 awards spanning best papers, teaching excellence, and early career recognition Grants/Projects: Includes Department of Energy funding and collaborations on optimizing power systems and minimizing cascading failures Linderoth leads research teams and contributes to academic organizations, advancing both theoretical and applied aspects of optimization science.

Erin E Kerbyمشاهده پروفایل

دانشیار

• Veterinary Medicine
• Data Management
• Open Access Publishing
• +۵ مورد دیگر

Erin E Kerby is an Associate Professor and Veterinary Medicine Life Sciences Librarian at the University Library of the University of Illinois at Urbana-Champaign. She holds a Master of Science in Information (MSI) from the University of Michigan, Ann Arbor (2011). Her work focuses on enhancing research practices through data management strategies, open access advocacy, and interdisciplinary collaboration. Research interests include veterinary biosecurity, agricultural research practices, and information systems supporting scientific inquiry. Notable contributions include studies on global swine farm biosecurity patterns and open access attitudes among agricultural researchers. Collaborations span academic libraries, veterinary institutions, and agricultural research networks. Her publications emphasize practical challenges in data sharing, cross-institutional survey methodologies, and researcher needs in data management. Media engagements highlight library acquisitions of historically significant agricultural texts. Kerby actively participates in shaping policies for research data publication in veterinary medicine and supports graduate researcher training in digital literacy.

• Data Management
• Library Science
• Data Sharing Policies
• +۳ مورد دیگر

Christie Ann Wiley is an Associate Professor in the University Library at the University of Illinois Urbana-Champaign, serving as the Physical Sciences and Engineering Data Services Librarian. Her work focuses on data management practices, library-resource integration, and interdisciplinary research support. She has contributed to advancing data sharing policies and evaluating research practices across engineering, medical, and academic disciplines. Her research interests center on data management planning, library infrastructure's role in supporting faculty research, and the implementation of open science principles. Key areas include data reuse analysis, institutional data policy development, and the impact of e-resources on academic research. Notable contributions include a 2024 special collection on data management planning and a 2023 case study on engineering faculty data practices. Her work bridges library science with practical research challenges, emphasizing collaboration between librarians and academic researchers.

Kate Lambariaمشاهده پروفایل

استادیار

• Performing Arts
• Outreach
• Reference Services
• +۳ مورد دیگر

Kate Lambaria is an Assistant Professor and Music and Performing Arts Librarian at the University of Illinois Urbana-Champaign. She holds a Master of Science in Library & Information Science and a Bachelor of Arts in Music, both from the University of Illinois Urbana-Champaign. Her research focuses on academic libraries, music librarianship, and institutional repositories. Key areas include redesigning LibGuides for pedagogical purposes, analyzing policies for performing arts in institutional repositories, and exploring reference services in music libraries. Her work also addresses pre-COVID-19 service climate surveys and faculty perceptions of creative content in repositories. Notable contributions include studies on LibGuides pedagogy, institutional repository policies, and music reference services. Her articles span topics like database utilization, outreach strategies, and mobile technology integration in libraries. Lambaria actively participates in academic discussions through peer-reviewed journals and presentations. Her roles involve advising on library operations and collaborating with faculty and students. She contributes to institutional reports and maintains a focus on digital preservation and user-centric library practices.

• Recommender Systems
• Social Bookmarking
• Data Mining & Machine Learning
• +۳ مورد دیگر

Prof. Robert Jäschke is a Professor at the Institute of Library and Information Science, Humboldt-Universität zu Berlin, within the Faculty of Arts. His primary research focuses on Recommender Systems, Social Bookmarking, Data Mining & Machine Learning, Web Archiving, and Open Science. He leads projects like AI-SKILLS and UnknownData, and operates BibSonomy, a social tagging system. Jäschke advises on DINI and the Specialized Information Service for Book, Library, and Information Science. His work bridges computational methods with humanities, evident in his contributions to music entity detection, Vossian antonomasia analysis, and digital literary frameworks. Research interests span interdisciplinary applications of AI in cultural studies, formal concept analysis, and web archiving. Notable projects include analyzing regional research networks (REGIO) and evaluating dataset creation for concept detection. Teaching includes courses on information processing, data analysis, and web science. Publications reflect a strong focus on computational linguistics, music informatics, and digital humanities. His blog weltliteratur.net explores world literature in digital contexts. Collaborations emphasize open science practices and tool development for academic communities.

James Tonerمشاهده پروفایل

پژوهشگر

• Library Strategy and Policy
• Information/Knowledge Management
• Organizational Learning and Culture
• +۳ مورد دیگر

James Toner is a PhD researcher at the University of Sheffield's School of Information, Journalism and Communication. He concurrently serves as Head of Learning and Information Services for a multinational education provider in China. Previously, he held a Visiting Lecturer position at University College London Qatar, teaching their MA Library and Information Studies Programme. He is also a committee member for IFLA’s 'Library Services to Multicultural Populations' section. His research focuses on library strategy, knowledge exchange in multicultural environments, leadership strategies, and organizational learning. Current projects include exploring knowledge sharing in international schools and analyzing cross-cultural charity projects. He has published widely on library practices supporting international students and information literacy in Ghanaian universities. Key contributions include a 2019 study on UK university libraries' support for international students and 2022 publications on Ghanaian undergraduate information literacy and knowledge sharing in cross-cultural development projects. His work emphasizes culturally responsive library policies and organizational culture transformation. Professional experience spans education leadership roles in the UK, Middle East, and Southeast Asia, with expertise in library service development. Supervised by Ana Vasconcelos and Pam McKinney, his PhD investigates individual/team dynamics in knowledge sharing within international schools.

Fiona Warburtonمشاهده پروفایل

مدرس

• Fake News
• Generative AI
• Events Management
• +۱ مورد دیگر

Fiona Warburton is a part-time Lecturer and Programme Leader for BA Hons Events and Festivals Management at University Centre Shrewsbury, part of the University of Chester's Business School. She brings over 30 years of experience in education and assessment, specializing in curriculum planning for Travel and Tourism. Fiona serves as a Principal Examiner for Cambridge assessments in Destination Marketing and has conducted teacher training internationally. Her research focuses on Fake News and Generative AI, particularly exploring gamification to enhance student awareness of AI in academic research. She has authored publications for JSTOR Daily on these topics. Additional roles include part-time work as Assistant Liaison Librarian at Guildhall Library, supporting Business Management students with information literacy and research skills.

• Records Management
• Library Science
• Information Systems
• +۳ مورد دیگر

Catherine Carlyle serves as a Lecturer in the Library Information Technology program at SAIT's School of Business since 2023, specializing in Records Management with a focus on bridging classroom theory to real-world information systems and cultural heritage preservation. Her academic credentials: Master of Library and Information Science, Western University Bachelor of Arts with Honours in Art History, Carleton University (graduated with distinction) Records Management Certificate, University of Toronto Her research integrates Records Management, Library Science, and Art History through metadata, taxonomy, and digital collections development. She emphasizes practical applications in municipal records systems and cultural institutions, while contributing art-focused publications to GalleriesWest magazine that explore artists' creative processes. Professional highlights include leading Calgary's Planning and Development Shared Drive Project managing 2M+ electronic records, roles at the Canadian Museum for Human Rights and National Gallery of Canada Library and Archives, and digitizing the Calgary Public Art Map with civic space curation.