جست‌وجوی استاد و پژوهشگر

David Paradiceمشاهده پروفایل

استاد

• Business Analytics
• Knowledge Management and Business Intelligence
• Problem Formulation
• +۲ مورد دیگر

David Paradice serves as the Harbert Eminent Scholar in Information Systems and Analytics and Interim Chair within the Department of Business Analytics and Information Systems at Auburn University's Harbert College of Business. With prior faculty appointments at Florida State University and Texas A&M University, he brings extensive academic leadership experience from roles including department chair, senior associate dean, and center director. Dr. Paradice has also engaged in corporate consulting and advisory board service. Education: PhD, Business Administration—Management Information Systems, Texas Tech University, 1986 MS, Industrial Management, Georgia Institute of Technology, 1979 BS, Information and Computer Science, Georgia Institute of Technology, 1978 Research Focus: Dr. Paradice's expertise spans business analytics, knowledge management, problem formulation methodologies, database systems, and project management. His research investigates how information systems enhance managerial decision-making, with recent emphasis on AI ethics, trust in technology-mediated environments, digital transformation frameworks, and behavioral analytics in organizational contexts. Publication Insights: Analysis of his recent scholarly output reveals interdisciplinary work connecting information systems with artificial intelligence, organizational behavior, and decision science. Key themes include trust operationalization in networks, blockchain adoption drivers, immersive technology impacts on consumer behavior, and ethical AI development. His research consistently addresses contemporary challenges in technology integration across business ecosystems. Honors and Awards: Harbert Eminent Scholar endowed professorship Teaching excellence award recipient Academic Service: Dr. Paradice has contributed to graduate education through membership on over 50 doctoral dissertation committees. He maintains industry connections through corporate advisory roles and consulting engagements focused on technology implementation strategies.

• Information Visualization
• Machine Learning
• Data Mining
• +۵ مورد دیگر

Gilles Venturini is a Professor in Computer Science at the University of Tours, France, affiliated with PolytechTours and the Computer Science Lab. He has held this position since 1998 following his appointment as Assistant Professor from 1994-1998. His academic credentials include a Research Supervisor Degree (HdR) from the University of Tours (1997), a PhD in Computer Science from the University of the South of Paris (1994) supervised by Yves Kodratoff, and dual qualifications in Computer Science (MSc, 1990) and Electrical Engineering (ESIEE, 1990). Professor Venturini's research concentrates on information visualization, machine learning, and data mining with emphasis on genetic algorithms, neural networks, and computer vision. His work develops practical tools for visual data exploration, automatic dashboard generation, and analysis of large datasets, particularly addressing usability challenges for novice users in open data contexts. His 2023-2025 publications reveal sustained innovation in ternarization of vision-language models for edge devices, few-shot object detection, and backpropagation alternatives for binary neural networks. These contributions bridge theoretical machine learning advancements with applications in cultural heritage visualization and human resources analytics. No scientific awards were documented in the source materials. While specific grant details and student supervision records are absent from the provided text, his professorial role implies active involvement in research funding acquisition and academic mentoring. His work frequently intersects with interdisciplinary teams, particularly in digital humanities projects. He remains operationally active within the University of Tours' Computer Science Lab, driving research in visualization techniques and machine learning applications through this primary institutional affiliation.

Valérie Beaudouinمشاهده پروفایل

استاد

• Sociology of digital technologies
• AI ethics
• Digital humanities
• +۵ مورد دیگر

Valérie Beaudouin is Professor of Sociology at Telecom Paris, Institut Polytechnique de Paris (SES department) and Director of Studies at EHESS – Center for the Study of Social Movements (CEMS). A statistician-economist by training (ENSAE 1991), she holds a PhD in language sciences (EHESS 2000) and an HDR in sociology (Université Paris-Descartes 2018). Her career spans industrial R&D leadership (France Télécom/Orange Labs, 1997-2008) and full-time academia since 2008. Education ENSAE – Statistician-Economist Diploma (1991) PhD in Language Sciences, EHESS (2000) HDR in Sociology, Université Paris-Descartes (2018) Research focus Beaudouin studies the social, ethical, and cultural impacts of digital technologies. She combines quantitative and qualitative methods—text mining, network analysis, online ethnography—to investigate AI ethics, online collective memory (notably of World War I), amateur cultural production, and digital sociability. Her current work with the Operational AI Ethics research group explores how ethical principles are operationalized in AI systems and organizations. Recent publication trends Between 2019 and 2023 her articles cluster around three themes: (i) AI ethics and explainability, (ii) online commemoration and collective memory, and (iii) amateur digital practices such as film criticism and self-publishing. These works appear in both French and international journals spanning sociology, digital humanities, and STS. Scientific awards & honors No specific prizes or medals are mentioned in the provided text. Grants, projects & advising Bibli-Lab (2013-2019) – Research partnership with the French National Library (BnF) on digital library usage. Operational AI Ethics – Ongoing Telecom Paris initiative on practical AI ethics. Apprendre par la bande – Multi-institutional project on online learning collectives (with Université Paris-Descartes & Paris VII). Collectifs en ligne et production de savoirs – Study of online knowledge production and collective memory. Laboratory affiliations She is affiliated with the Interdisciplinary Institute of Innovation (i3) and the Digital Technologies, Organization and Society (DTOS) research team at Telecom Paris.

• Naturalistic Metaethics
• Cultural Evolution
• Philosophy of Biology
• +۴ مورد دیگر

Dr. Daniel Frank is a Researcher at the Chair of Ethics, Theory, and History of the Biosciences within the Faculty of Mathematics and Natural Sciences at the University of Tübingen . His work bridges philosophy, ethics, and biosciences, focusing on naturalistic metaethics and the intersection of technology and human identity. Research Interests : Naturalistic Metaethics Cultural Evolution Philosophy of Biology Medical Ethics Science Ethics Publications & Trends : His recent work explores ethical frameworks in synthetic biology, AI's role in genomics, and interdisciplinary collaborations. Articles highlight societal impacts of biotechnology, responsible innovation, and philosophical analyses of human-technology relationships. Contact : Email: daniel.frank@uni-tuebingen.de

Sarah Cherki El Idrissiمشاهده پروفایل

استادیار

• Responsible Innovation
• Circular Economy
• AI for Sustainability
• +۳ مورد دیگر

Sarah Cherki El Idrissi is an Assistant Professor (Teaching Stream) and Program Director of the Digital Enterprise Management (DEM) program at the Institute of Communication, Culture, Information and Technology (ICCIT), University of Toronto. Her work bridges information systems and sustainability, focusing on responsible innovation and circular economy principles. She holds a Ph.D. in Management Information Systems from Université Laval (Canada) and a Master’s in Information Systems Engineering from Télécom Sud Paris Ecole de Management (France). Dr. El Idrissi teaches courses such as Sustainability and the Digital Enterprise , Internship I , and Information Systems . Her research emphasizes embedding sustainability into IS practices, leveraging AI for educational innovation, and designing systems that encourage environmentally responsible behaviors. Key areas include responsible innovation frameworks, circular economy affordances, and the ethical implications of technology. Her recent work explores Gen AI’s impact on learning outcomes and strategies to operationalize sustainability in IS curricula. She frequently presents at leading conferences like ICIS and ECIS, advocating for a holistic approach to environmental and social responsibility in technology.

Sanjay Somanathمشاهده پروفایل

پژوهشگر ارشد

• Social Sustainability
• Computational Design
• Geographic Information Systems
• +۳ مورد دیگر

Sanjay Somanath is a Research Fellow at Chalmers University of Technology's Department of Architecture and Civil Engineering. His research focuses on computational approaches to urban social sustainability, specializing in activity-based accessibility modeling, GIS applications, and digital tool development for neighborhood planning. He collaborates with sustainable building researchers including Alexander Hollberg and Holger Wallbaum. Education PhD (2024) - Chalmers University of Technology: 'Instruments of Inquiry for Urban Social Sustainability' M.Arch Digital Architecture and Tectonics (2018) - University of Nottingham B.Arch (2017) - BMS College of Engineering, Bangalore Research Focus Somanath's work centers on operationalizing urban social sustainability through digital frameworks. He develops computational instruments like activity-based accessibility models that simulate resident behaviors to evaluate neighborhood equity. His research bridges social theory with technical implementation, creating tools for participatory urban planning and sustainability assessment. Recent work explores digital twins for multi-domain urban simulation, machine learning for urban quality inference, and procedural generation of 3D city models. These contributions advance data-driven approaches for evaluating social infrastructure coverage and environmental impacts. Projects & Collaborations Developed Twinable: Interactive tool for socially sustainable neighborhood planning Contributed to DecarbonAIte: AI-based urban modeling for energy and environmental factors Collaborates with Sustainable Building research group at Chalmers

Desi Small-Rodriguezمشاهده پروفایل

استادیار

• Indigenous Studies
• Social Demography
• Critical Demography
• +۵ مورد دیگر

Desi Small-Rodriguez is an Assistant Professor of Sociology and American Indian Studies at the University of California, Los Angeles. Their work focuses on critical quantitative and mixed-methods research at the intersection of race, indigeneity, and data-driven inequality. They specialize in survey research partnerships with Indigenous communities, emphasizing Indigenous Data Sovereignty and Governance through their Data Warriors Lab. Key areas include tribal data systems, health disparities, and challenges in census undercounting. Research interests span Indigenous studies, political sociology, and science and technology studies. Recent work addresses AI ethics, tribal sovereignty, and pandemic impacts on Native communities. The Data Warriors Lab operationalizes Indigenous-led data practices to support self-determined futures. Current projects include tribal data linkage systems and critiques of racialized census methodologies. Notable contributions include advancing the CARE principles for Indigenous data governance and analyzing disparities in health outcomes using tribally disaggregated data. Their research bridges academic theory with community-driven solutions, prioritizing partnerships with Native Nations and grassroots organizations. Grants and lab activities include a recent $1M grant funding graduate and undergraduate researchers, as well as collaborations on tribal data infrastructure projects. Academic advising focuses on training scholars committed to ethical Indigenous research methodologies. Labs/Teams: Directs the Data Warriors Lab, an Indigenous social science laboratory advancing data sovereignty through community-university partnerships.

• Artificial Intelligence
• Ethical AI
• Recommender Systems
• +۶ مورد دیگر

Azzurra Ragone is a Professor at the University of Calabria's Department of Computer Science within the School of Engineering. Her research focuses on AI ethics, trustworthy AI systems, recommender systems, and automated testing. She collaborates extensively with peers like Maria Teresa Baldassarre, Vito Walter Anelli, and Fedelucio Narducci on projects addressing ethical AI frameworks (e.g., POLARIS), fairness in machine learning, and generative AI impact analysis. Her work bridges technical innovation with societal implications, particularly in child rights and industry standards. Key research areas include: Responsible AI development methodologies Ethical implications of generative AI (e.g., ChatGPT analysis) Automated testing using large language models Counterfactual reasoning for fairness auditing Publications highlight contributions to: Trustworthy AI frameworks (POLARIS) Child rights in AI contexts Recommender systems integration with knowledge graphs Her work is featured in venues like IEEE Trans. Artif. Intell., ECIR, and ACM RecSys conferences. She actively contributes to workshops like KaRS (Knowledge-aware Recommender Systems) and EASE (European Association for Software Engineering).

Raimund Edlingerمشاهده پروفایل

پژوهشگر

• Robotics
• Autonomous Systems
• Rescue Robotics
• +۲ مورد دیگر

Raimund Edlinger is a research-focused academic at the University of Applied Sciences Upper Austria, Wels campus, affiliated with the Research Center Wels. He leads the Center of Excellence for Automotive/Mobility and Smart Production, with specialized focus areas in Digital Transformation, Rail Automation, Telematics, and Smart Automation and Robotics. His interdisciplinary work bridges engineering and practical robotics applications across diverse environments. Edlinger's research centers on advancing robotics for real-world challenges, particularly in GNSS-denied scenarios and hazardous environments. His expertise spans autonomous navigation, sensor fusion (LiDAR, thermal imaging, tactile systems), and human-robot interaction, with significant contributions to rescue robotics, underground mapping, and space analog missions. Recent work emphasizes digital twin applications for Mars simulations and tactile terrain assessment to enhance robot mobility in complex terrains. Analysis of his publication trends reveals a strategic shift toward multi-sensor integration for reliability in adverse conditions (e.g., smoke, narrow tunnels, Mars analogs). His 2022-2025 output shows concentrated effort in practical deployment challenges: casualty evacuation systems, nuclear disaster response, and cost-effective sensing solutions, reflecting strong industry and emergency response collaboration. His competitive robotics achievements include: 1st place EnRicH 2021 (Manipulation category) Multiple RoboCup podium finishes (2015-2022) in Rescue League and Best-in-Class Manipulation German Open championship recognitions across five consecutive years Edlinger directs significant research initiatives including the active MOBES project (Mobile Erdstall Scanner, 2025-2026), MARK Racing Team, and Autility platform development, funded by Austria's Climate and Energy Fund and ICT programs. He supervises student research while contributing to national robotics strategy through activities like ÖBFV Führungsseminar workshops on digitalization. His work is operationalized through the RRT-Roboto-Racing Team and specialized labs within Research Center Wels, featuring underground structure simulators, Mars analog testbeds, and sensor calibration facilities for extreme environments. Current projects integrate 5G communication and AI-driven manipulation for next-generation rescue systems.

Suvi Hirvonen-Ereمشاهده پروفایل

استاد مهمان

• Supply Chain Management
• Sustainable Development
• Contract Management
• +۵ مورد دیگر

Suvi Hirvonen-Ere holds the title of Visiting Professor in the Department of Information and Service Management at Aalto University. Her academic journey includes a Doctor of Laws from the University of Helsinki (2021), a Master's in Law (2000), and a Doctorate in Business Administration (Kauppat. toht.) from Aalto University (2024). Her research focuses on sustainable development, supply chain management, and digital transformation, particularly exploring how contract management can drive environmental and economic sustainability. Key themes include digitalization's impact on proactive contracting, lifecycle management in EU contexts, and embedding CSR into corporate operations. Education: Doctorate in Business Administration (Kauppat. toht.), Aalto University, 2024 Doctor of Laws, University of Helsinki, 2021 Master's in Law, University of Helsinki, 2000 Her work consistently bridges legal frameworks with business practices, emphasizing ethical and sustainable strategies. Recent publications explore topics like AI-driven contract automation and zero-emission transport logistics through contract lifecycle management. Awards: Academic Project Management Award 2022 for Best Teaching WorldCC Fellow (Honorary Fellowship by World Commerce and Contracting) Her advising and grants focus on integrating sustainability into contractual frameworks, with collaborations extending across Europe. She actively contributes to interdisciplinary projects on EU digital development and corporate governance.

• Polar Science
• Remote Sensing
• Climate Change
• +۵ مورد دیگر

Özgün Oktar is a Lecturer at Istanbul Technical University specializing in polar science research with active contributions through 2025. His work bridges environmental science, remote sensing, and policy development across Antarctic and Arctic regions. His research portfolio emphasizes climate change impacts on polar environments, utilizing AI-enhanced remote sensing for glacier monitoring and pollution analysis. Key focus areas include Antarctic soil contamination, Arctic fisheries governance, and aerosol dynamics over the Antarctic Peninsula. His methodological approach integrates deep learning with high-resolution satellite data to address cryospheric changes. Recent publications reveal a strategic shift toward policy applications, notably Turkish polar research development and Arctic maritime safety. The 2024-2025 output demonstrates increasing engagement with governance frameworks, evidenced by the Turkish Journal of Fisheries article on organizational priorities and Routledge Handbook chapter on Arctic fisheries. Oktar leads the EU-funded project "EDUcation About ClimATE Change and Polar Science" (2022-2023), indicating active grant acquisition. His collaborative network centers on B. Özsoy with multi-institutional partnerships, though specific advising details remain unreported. Current work focuses on operationalizing AI for real-time polar monitoring and strengthening Turkey's polar research infrastructure.

Andreas Kamilarisمشاهده پروفایل

دانشیار

• Internet of Things
• Machine Learning
• Artificial Intelligence
• +۵ مورد دیگر

Andreas Kamilaris serves as Associate Professor at the Digital Society Institute, Cyprus University of Technology, specializing in Pervasive Systems. His research bridges Internet of Things infrastructure with environmental applications, particularly in water quality monitoring, agricultural technology, and biodiversity conservation through AI-driven solutions. His primary research domains include Internet of Things (100% fingerprint weight), Machine Learning (98%), and Environmental Informatics, with significant contributions to disinfection byproduct analysis in water systems, satellite-based tree classification, and image-based insect monitoring. Technical approaches emphasize multimodal deep learning, real-time sensor networks, and geospatial modeling for environmental challenges. Recent publications (2024-2025) demonstrate a clear trajectory toward operationalizing AI for environmental monitoring, featuring country-scale digital twin implementations, health impact assessments of water contaminants, and biodiversity conservation tools. These works consistently integrate Cyprus-based case studies with international collaborations. Scientific recognition includes: Most Patents Award (2019) for IoT and Search Engine innovations Collaborative projects like the InsectAI COST Action and EuropaBON EBV workflow templates indicate substantial team leadership in environmental data science initiatives, though specific grant details remain unreported in source materials. He actively contributes to the Digital Society Institute's research ecosystem through the Pervasive Systems group, with recent work on GAEA establishing foundations for real estate environmental impact modeling through geospatial digital twins.

Jop Dispaمشاهده پروفایل

مدرس

• Political Science
• International Relations
• Social and Behavioural Sciences
• +۷ مورد دیگر

Jop Dispa is a Lecturer in the Department of Social and Behavioural Sciences at Erasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam, where he teaches in the Political Sciences and International Relations (POLIR) major and the first-year skills curriculum. He is affiliated with Erasmus University College (EUC), contributing to its mission of educating 'Critical World Citizens' through interdisciplinary teaching. His research interests focus on state and citizenship , particularly in the context of the Middle East , with specialized attention to Israel-Palestine . He applies critical theoretical frameworks to understand power, governance, and identity. His work intersects political science, international relations, and behavioral sciences, emphasizing interdisciplinary and critical approaches to citizenship studies. The most recent publication by Jop Dispa explores the convergence of artificial intelligence and necropolitical governance in the context of Gaza. This reflects a broader trend in his scholarship: critically analyzing how state power, technology, and colonial dynamics intersect in marginalized regions. His work combines political theory with empirical and ethical inquiry, contributing to debates on justice, surveillance, and human rights in conflict zones. No scientific awards listed in the provided text. Jop Dispa is involved in curriculum development and teaching at EUC, particularly in fostering critical thinking and global citizenship among undergraduate students. While no formal advisees or research grants are mentioned, his collaborative research output suggests active engagement in academic discourse and interdisciplinary projects. He is associated with the research environment at Erasmus University College, contributing to a scholarly community focused on global challenges, citizenship, and social justice. His work is embedded in a network addressing pressing political and ethical issues in contemporary society.

Vincent Ngمشاهده پروفایل

استادیار

• Industrial/Organizational Psychology
• Character Assessment and Development
• Well-being
• +۷ مورد دیگر

Vincent Ng is an Assistant Professor in the Department of Psychology at the University of Houston, within the College of Liberal Arts and Social Sciences. His research centers on industrial-organizational psychology, with a focus on character, well-being, and leadership development. He employs advanced methodologies, including machine learning and big data analytics, to study moral attributes and personality in organizational contexts. Dr. Ng earned his educational degrees as follows: B.A. in Psychology, Vassar College M.S. in Industrial/Organizational Psychology, Salem State University M.S. and Ph.D. in Industrial/Organizational Psychology, Purdue University His research interests span several interrelated domains: Character assessment and development, particularly how moral attributes are measured and how they evolve The relationship between character cultivation and well-being Leadership development and the role of moral characteristics in effective leadership Methodological challenges in measuring socially desirable traits, with a focus on innovative approaches like forced-choice formats and automated assessment He is also actively involved in advancing measurement techniques, including Likert scale development and ideal point modeling. His recent publications reflect a strong trend toward integrating psychological theory with data science. His work explores character measurement (e.g., CIVIC, forced-choice formats), the application of machine learning in personnel selection, behavioral measures of humility, and automated personality assessment via video interviews. These studies combine rigorous psychometrics with cutting-edge computational methods, positioning his research at the intersection of psychology, organizational behavior, and artificial intelligence. Scientific recognition includes: Houston Bar Foundation award for an outstanding legal article (2008) Dr. Ng mentors students and is accepting new advisees for Fall 2025. He collaborates extensively, particularly with Louis Tay and others in organizational and positive psychology. While specific grant details are not listed, his active publication record and methodological focus suggest involvement in funded research. He is a key contributor to Louis Tay's Lab, focusing on character, well-being, and data science applications in psychology.

• Data Protection Law
• GDPR Compliance
• Digital Privacy
• +۳ مورد دیگر

Dr. Jef Ausloos is an Assistant Professor of Information Law at the Amsterdam Law School, University of Amsterdam. His work focuses on data protection law, digital privacy, and platform governance. He specializes in GDPR compliance, algorithmic transparency, and the intersection of media law with emerging technologies. Current research explores challenges in data access rights, collective data harms, and ethical frameworks for digital trace data collection. Key areas include the operationalization of data subject rights under the GDPR, regulatory gaps in platform governance, and the role of collective action in addressing data-driven harms. He has contributed to interdisciplinary projects like the ATAP initiative on algorithmic transparency in news recommenders and the OSD2F open-source data donation framework. His publications analyze legal-ethical dimensions of digital platforms, including critiques of transparency practices, the right to be forgotten, and the evolving role of media concentration law in the digital era. Notable works address data donation frameworks, GDPR implementation challenges, and the limitations of current privacy regulations in addressing collective societal impacts. Ausloos advises on policy issues related to digital privacy and participates in EU regulatory consultations. His research often bridges legal scholarship with technical and social science perspectives, aiming to inform both academic and policy debates on digital rights in the information society.