جست‌وجوی استاد و پژوهشگر

• Linguistic Anthropology
• Respectability Politics
• Linguistic Bias in Technology and Education
• +۵ مورد دیگر

Zion Ariana Mengesha is an Assistant Professor in the Department of Anthropology at the University of California, Los Angeles (UCLA). Her research centers on linguistic anthropology, examining how language shapes and reflects social and political ideologies. She holds a PhD in Linguistics from Stanford University, where she was co-advised by Penny Eckert and Rob Podesva, supported by fellowships from the Clayman Institute for Gender Research and the Center for Comparative Studies in Race and Ethnicity. Her primary research investigates respectability politics among African American women in Sacramento, analyzing how language practices negotiate social hierarchies and identity. A parallel strand explores linguistic bias in educational systems and AI technologies, including her collaborative work on Google’s Responsible AI User Experience (Responsible AIUX) team to improve inclusivity of voice-AI systems for African American communities. Key contributions include documenting racial disparities in automated speech recognition and advancing methodologies for equitable language technology development. Her work bridges sociolinguistics with critical race theory, emphasizing language as a site of both oppression and resistance. Grants & Collaborations: Google Responsible AIUX team (2020–2024), Stanford fellowships Labs/Teams: Responsible AIUX (Google), UCLA Linguistic Anthropology Lab Publications highlight themes such as vowel variation patterns in African American English, the impact of ASR errors on marginalized groups, and ethical frameworks for AI design. Awards include prestigious fellowships recognizing her interdisciplinary scholarship at the intersection of language, race, and technology.

Zdravko Kunićمشاهده پروفایل

استادیار

• Data Science
• Artificial Intelligence
• Decision Support Systems
• +۷ مورد دیگر

Dr. Zdravko Kunić is an Assistant Professor at the University of Algebra, Department of Information Systems and Business Analytics, and a Senior Lecturer at the University of Zadar's Department of Tourism and Communication Sciences. He leads projects at AlgebraLAB, the university's research institution, focusing on data science, AI, and decision support systems. His work spans high-performance computing architectures, cybersecurity honeypots, wind forecasting algorithms, and automated video editing systems. He collaborates with the Jožef Stefan Institute in Slovenia and participates in EU initiatives like the Pan-European Network of Digital Innovation Centers. His research emphasizes visual business analytics, integrating data science into economic and educational progress. Notable projects include developing scientific web applications using Python, traffic management systems with weather forecasting corrections, and TLS security analyses for Croatian websites. He actively contributes to international conferences and the Erasmus+ program, enhancing his expertise in global academic networks. Dr. Kunić's teaching spans undergraduate and graduate courses in information systems, digital communication, and data-driven decision making. His applied work includes designing systems for insurance, telecoms, and public administration. Despite no explicitly listed awards, his extensive project portfolio underscores his impact in both academia and industry.

Jessica Yarin Robinsonمشاهده پروفایل

پژوهشگر

• Political Communication
• Digital Media Studies
• Social Media Analysis
• +۵ مورد دیگر

Jessica Yarin Robinson is a researcher at the Department of Media and Communication at the University of Oslo, holding the rank of Researcher. Her work focuses on the intersection of digital platforms, media, and society with an emphasis on political discourse and global communication dynamics. She combines mixed-methods approaches, including computational analysis of large-scale data and qualitative methods like interviews and thematic analysis. Education: PhD in Media Studies, University of Oslo M.Phil in Nordic Media Studies, University of Oslo BA in Journalism, Southern Oregon University Research Interests: Studying how digital platforms shape societal interactions, analyzing political engagement in transnational contexts, and examining the role of social media in crises. Key themes include nationalism articulation in digital spaces, global health communication, and algorithmic platform governance. Current Projects: Investigating the role of scale in public communication, with a focus on privacy and free expression in global platforms. Currently collecting TikTok metadata related to Norwegian elections (2023). Teaching: MEVIT4810 – Introduction to Media and Communication Research MEVIT4320 – Political Communication MEVIT1011 – Media Analysis MEVIT4811 – Quantitative Methodology in Media Studies Awards: Recognized for investigative journalism during her career in the U.S. (2005-2015). Research Groups: POLKOM – Political Communication Center for Children, Youth and Media.

• Continence Care
• Patient Experience
• Quality of Life
• +۶ مورد دیگر

Professor Nikki Cotterill is a registered nurse and Fellow of the Royal College of Nursing, holding the position of Professor in Continence Care at the University of the West of England (UWE Bristol) within the Faculty of Health and Applied Sciences (HAS). She leads the Bladder and Bowel CONfidence Health Integration Team (BABCON), collaborating with institutions like Bristol Health Partners, North Bristol NHS Trust, and the University of Bristol. Her work focuses on improving continence care through research, education, and policy advocacy. Education: Nikki Cotterill holds a PhD, BSc(Hons) in Nursing, and is a Florence Nightingale Foundation Leadership Scholar. Her qualifications emphasize clinical practice and academic rigor in healthcare. Research Interests: Her primary areas include improving outcomes for individuals with incontinence, qualitative studies within randomized controlled trials, and developing patient-reported outcome measures. She employs mixed methodologies, including co-production with patients and public partners. Notable projects include the PRIME pharmacy service initiative, the CONfidence app for bladder/bowel health, and studies on pandemic impacts (EPICCC-19). Grants & Supervision: Currently supervising three PhD students funded by the Abbeyfield Research Foundation (VOICE project on care home continence care), ERIC (POTTY project on early years bladder/bowel health), and the CoV-LUTS+ study on long-term symptoms post-COVID. Grants include NIHR ARC West funding for collaborative research. Labs/Teams: BABCON team, leading system-wide continence care initiatives such as the CONfidence app and public toilet access advocacy. Collaborative networks include NHS trusts, charities, and academic partnerships.

Rishab Nithyanandمشاهده پروفایل

استادیار

• Privacy
• Social Computing
• Platform Auditing
• +۳ مورد دیگر

Rishab Nithyanand is an Assistant Professor in the Department of Computer Science at the University of Iowa, where he leads the SPARTA Lab and co-directs the Center for Publics, Platforms, and Personalization (CP3). He holds a courtesy appointment in the College of Law and collaborates with law and social science researchers. A graduate of Stony Brook University (Ph.D.), he has received prestigious awards including the Google Faculty Research Award and Ford-Mozilla Open Web Fellowship. Education: Ph.D. in Computer Science from Stony Brook University Research Focus: Privacy and social computing, with emphasis on improving transparency and accountability in online data ecosystems. His work examines algorithms in social media and ad-tech through platform auditing, policy analysis, and cross-disciplinary collaboration. Scientific Contributions: His research spans algorithmic transparency in YouTube demonetization, social radicalization dynamics, and ad-network tomography. Awards include the Andreas Pfitzmann Award Runner-up for his work on tracker-advertiser relationships. Scientific Awards: Google Faculty Research Award, Ford-Mozilla Open Web Fellowship, OTF Emerging Technology Senior Fellowship, Qualcomm Franklin Antonio Scholarship, Andreas Pfitzmann Award Runner-up Labs & Collaborations: Leads SPARTA Lab and co-directs CP3 research group, working at the intersection of computer science, law, and public policy.

• Artificial Intelligence
• Advanced Machine Learning
• Conversational AI
• +۶ مورد دیگر

Neena Sathi is a Lecturer in the Department of Information Systems at the Paul Merage School of Business, University of California, Irvine (UCI). She brings over 30 years of industry experience in artificial intelligence, analytics, and automation, and contributes to both academic instruction and applied AI development. Education: MBA, University of Pittsburgh MS in Chemical Engineering, University of Illinois, Chicago MS in Physics, Northwestern University Her research and professional interests center on Artificial Intelligence , Advanced Machine Learning , Conversational AI , and Analytics . She focuses on translating AI prototypes into production systems across industries including healthcare, telecommunications, retail, and public services. Her work emphasizes practical implementation, integration architecture, and cognitive technologies. The selected publications reflect a strong trend in applied AI, spanning venues like AAAI, IEEE, IBM Developer Works, and World of Watson. These works cover subfields such as natural language processing, enterprise AI, cloud integration, and intelligent automation, demonstrating a consistent focus on deploying AI in real-world business and technical environments. Scientific Awards and Certifications: Master Certified Integration Architect (IBM and Open Group) Certified Project Management Professional (PMP) Certifications in Cloud and Cognitive Technologies Neena Sathi has held leadership roles in AI innovation, including as Director at KPMG Lighthouse Labs and Principal at the Applied AI Institute. She develops hands-on training content and interactive solutions for AI and automation topics. While no formal student advising is mentioned, her educational contributions through lectures and training materials indicate a strong pedagogical impact. She is actively involved in AI solution development, bridging academic knowledge with industry application, and drives initiatives in AI integration, digital transformation, and cognitive computing.

Kalinda Ukanwaمشاهده پروفایل

استادیار

• Quantitative Marketing
• Responsible Artificial Intelligence
• Algorithmic Bias and Fairness
• +۵ مورد دیگر

Kalinda Ukanwa is an Assistant Professor in the Marketing area at the Paul Merage School of Business, University of California, Irvine. Her research integrates quantitative and computational modeling with critical issues in responsible artificial intelligence, algorithmic fairness, and consumer reputations. Her educational background includes a PhD in Business Administration (Quantitative Marketing) from the University of Maryland, College Park, and three degrees from Stanford University: a BA and MS in Industrial Engineering, and an MBA. Her research interests center on responsible AI , algorithmic bias and fairness , marketplace disparities , and consumer reputations . She employs advanced computational and statistical methods to examine how algorithmic systems impact consumer behavior and market equity. The recent articles reflect a strong trend in ethical AI, computational marketing, and social impact, with a focus on fairness, transparency, and equity in algorithmic decision-making across digital marketplaces. Two-time AMA-Sheth Fellow 2018 Eli Jones Promising Young Scholar Award Finalist, 2018 INFORMS Service Science Best Student Paper Award Finalist, 2019 Howard/AMA Doctoral Dissertation Award Finalist, 2020 AMS Mary Kay Doctoral Dissertation Award Dr. Ukanwa has served as a reviewer for top journals including the Journal of Marketing , Journal of Marketing Research , Marketing Science , and Proceedings of the National Academy of Sciences . She has presented her research at leading institutions such as Harvard, Yale, Wharton, and Oxford, as well as companies like Twitter Inc. and RAND Corp. Her industry experience includes roles as an industrial engineer and finance/business analytics executive at Walt Disney, Citigroup, Viacom, and Kaplan. She is actively involved in the academic and professional community, contributing to research colloquia and centers focused on digital transformation and ethical innovation.

Saiph Savageمشاهده پروفایل

استادیار

• Artificial Intelligence
• Human-Computer Interaction
• AI Policy and Ethics
• +۳ مورد دیگر

Saiph Savage is an Assistant Professor at Northeastern University's Khoury College of Computer Sciences and director of the Northeastern Civic A.I. Lab. She holds a PhD and MS from UC Santa Barbara and a degree in Computer Engineering from UNAM. Research Focus: Civic AI, public technology co-design, AI ethics, digital labor rights, and policy impact. Her work addresses AI's role in governance, worker empowerment, and combating disinformation. Funding & Awards: Over $1.5M NSF funding, NSF CAREER Award, and recognition from MIT Tech Review and Forbes. Advises governments on AI policy and OECD's GPAI. Grants: NSF, Google, Meta, NATO Policy Contributions: White papers for Mexico's government, OECD, and UN Lab & Teams: Civic A.I. Lab co-designs public AI tools with diverse stakeholders, focusing on federal governments, NGOs, and industry collaboration.

• Media ethics
• Media accountability
• Journalism
• +۳ مورد دیگر

Tobias Eberwein is Deputy Director of the Institute for Comparative Media and Communication Studies (CMC), a joint entity of the Austrian Academy of Sciences and the University of Klagenfurt, where he leads the Research Group “Media Accountability & Media Change.” He also serves as a Lecturer at the University of Klagenfurt's Department of Media and Communications and at Hamburg Media School. His research spans media ethics, accountability structures, journalism practices, and digital innovation in media systems. Education: Doctoral studies in Cultural Studies at TU Dortmund (2007–2013), focusing on literary journalism. Certified program in “Professional teaching skills for university” at TU Dortmund. Journalism, Political Sciences, and Anglo-American Literature studies at University of Dortmund (1999–2006). Research Focus: Eberwein investigates media accountability mechanisms, ethical challenges in digital journalism, and comparative media governance. His work emphasizes the impact of technological change on media ethics, participatory communication, and the evolution of public service media. Current projects include EU-funded initiatives like DIACOMET (dialogic communication ethics) and MEDIADELCOM (European media landscape scenarios). Publications & Trends: His recent articles analyze media monitoring, deliberative communication, and crisis reporting ethics. Common themes include transnational media governance, digital accountability tools, and the ethical implications of datafication. His scholarship often employs comparative methodologies to assess media systems across Europe. Awards & Recognition: META Medienethik-Award (2010) for contributions to media ethics. Professional Activities: Eberwein serves as President of the International Association for Literary Journalism Studies (2023–2025) and Specialty Chief Editor for “Frontiers in Media Governance.” He coordinates major conferences, including the IALJS annual meetings, and has led Horizon Europe projects. He is also active in advisory roles for KommAustria and the Diversity Media Research Center.

Lauren Franzمشاهده پروفایل

دانشیار

• Autism Spectrum Disorder
• Child and Adolescent Psychiatry
• Digital Phenotyping
• +۳ مورد دیگر

Dr. Lauren Franz serves as Associate Professor of Psychiatry and Behavioral Sciences and Associate Research Professor of Global Health at Duke University, with Faculty Network membership at the Duke Institute for Brain Sciences. Her clinical expertise centers on child and adolescent psychiatry, specializing in autism spectrum disorder interventions and digital health applications across diverse global contexts. Her academic credentials include: Honorary Associate Professor, Division of Child & Adolescent Psychiatry, University of Cape Town (2023-2028) Residency and Fellowship in Psychiatry and Child and Adolescent Psychiatry, Duke University School of Medicine (2007-2014) M.B.B.Ch., Stellenbosch University, South Africa (2002) Dr. Franz pioneers the integration of artificial intelligence and digital phenotyping to revolutionize autism detection and intervention. Her research spans telehealth adaptation of caregiver coaching in low-resource settings, computational analysis of behavioral markers, and neurodiversity-affirming clinical frameworks. She actively bridges technology development with implementation science to address global disparities in neurodevelopmental care. Analysis of her recent publications reveals dominant trends in machine learning-driven autism screening, cross-cultural adaptation of interventions, and comorbidity mapping between autism and ADHD. Her work consistently leverages electronic health records, mobile applications, and computer vision to identify biomarkers while prioritizing real-world applicability across socioeconomic contexts. Dr. Franz directs significant research initiatives including: Duke-NCCU Interdisciplinary Postdoctoral Training Program (2024-2029) Electrophysiological biomarkers of social engagement in autism (2024-2028) Caregiver Coaching to Improve Outcomes of Young Autistic Children in Africa (2022-2027) ACACIA hybrid effectiveness-implementation trial for autism intervention in Africa She leads the Duke Institute for Brain Sciences' global mental health initiatives, maintaining active collaborations with the University of Cape Town to develop sustainable autism care models. Her international teams integrate psychiatrists, computer scientists, and implementation specialists to create culturally responsive digital tools, with recent work focusing on bias mitigation in AI language models and telehealth delivery in South African communities.

Katrin Blasekمشاهده پروفایل

استاد

• IT Law
• Media Law
• Data Protection Law
• +۶ مورد دیگر

Prof. Dr. Katrin Blasek, LL.M. serves as Professor of Commercial Law at the Brandenburg University of Applied Sciences within the Department of Business and Management. Her academic appointment specifically focuses on IT and Media Law, Data Law and Digitalisation, Artificial Intelligence, and Chinese Law, positioning her at the critical intersection of technology, data governance, and comparative legal systems between Europe and China. Prof. Blasek's research interests center on the complex regulatory challenges emerging from digital transformation, with particular expertise in comparative analysis of Chinese and European legal frameworks. Her work examines artificial intelligence regulation, data protection mechanisms, digital identity systems, credit scoring methodologies, and the adaptation of traditional legal concepts to evolving technological landscapes. She has developed significant expertise in cross-jurisdictional legal challenges, especially regarding the implementation of GDPR principles in international contexts and the comparative study of algorithmic governance. Analysis of her recent scholarly output reveals a clear trajectory toward increasingly sophisticated examination of AI governance frameworks across jurisdictions, with notable emphasis on the China-EU regulatory divergence. Her publications demonstrate consistent engagement with timely legal challenges surrounding digital identity systems (particularly the EU-ID-Wallet), credit scoring transparency, and the practical implementation of 'right to explanation' principles under GDPR. This body of work shows her evolving from foundational comparative legal analysis toward influencing regulatory development through expert contributions to policy discussions. Prof. Blasek maintains active engagement with professional organizations and governmental bodies as reflected in her board memberships and expert roles. She served as President of SP China Alumni e.V. until April 2020 and continues as a Member of the Board of the German-Chinese Lawyers Associations since November 2012. Her professional activities extend to regular expert contributions to the Federal Ministry of Justice's 'Großer Runden Tisch – China' since 2012 and German-Chinese Rule of Law Symposia since 2010. Her professional impact is further demonstrated through her role as peer reviewer for the Hague Journal on the Rule of Law since May 2015, reviewer for ZEVA accreditation processes, and membership on the DAAD selection committee since 2010. These positions reflect significant recognition of her expertise in both European and Chinese legal systems, particularly regarding technology law and data governance frameworks.

Gerard Laceyمشاهده پروفایل

استاد

• Robotics
• Real-time computer vision
• Human-machine systems
• +۳ مورد دیگر

Professor Gerard (Gerry) Lacey is Professor of Electronic Engineering at Maynooth University within the Faculty of Science and Engineering. He also serves as Head of the Department of Electronic Engineering and is affiliated with the Hamilton Institute and ALL Institute at Maynooth. Education BE in Computer Engineering – Trinity College Dublin PhD in Robotics – Trinity College Dublin MBA – University College Dublin Research Focus Professor Lacey’s research integrates robotics, real-time computer vision and human-machine systems with healthcare applications. His work spans assistive robotics for the elderly and visually impaired, augmented-reality surgical simulation, and technology-enabled infection prevention. Key themes include psychomotor learning in digital training tools, AI-driven hand-hygiene monitoring, and the design of user-centred healthcare technologies. Publication Trends Recent publications (2020-2021) concentrate on leveraging augmented reality and artificial intelligence to improve hand-hygiene compliance among healthcare workers, reflecting a translational trajectory from vision-based algorithms to large-scale hospital deployment. Earlier work (1995-2014) laid foundational contributions in mobility aids for the blind, endoscopic image enhancement, and robotic guidance systems. Awards & Recognition RESNA PVA Design Award for Robotics EU IST Award Irish Software Association Innovation Award Enterprise Ireland Technology Commercialisation Award Trinity College Innovation Award Entrepreneurship & Impact Professor Lacey has founded two university spin-outs: Haptica (2000), which created mobile healthcare robots and AR surgical simulators (acquired by CAE Healthcare in 2011), and SureWash (2010), whose hand-hygiene training systems are deployed internationally in hospitals. These ventures bridge academic research and clinical practice, securing real-world impact for his innovations. Laboratories & Collaborations He leads research activities within the Electronic Engineering Department and participates in interdisciplinary initiatives at the Hamilton Institute (systems modelling) and ALL Institute (assisted living and learning). His teams bring together engineers, healthcare professionals and industry partners to advance assistive and medical technologies.

Christian Meskeمشاهده پروفایل

استاد

• Socio-technical Systems
• Artificial Intelligence
• Digital Transformation
• +۷ مورد دیگر

Prof. Dr. Christian Meske is a faculty member at Ruhr University Bochum , holding the Chair of Socio-technical System Design and Artificial Intelligence since September 2021. He previously served as an Assistant Professor at Freie Universität Berlin (2017–2021) and conducted postdoctoral research at the University of Duisburg-Essen (2015–2017) and University of Münster (2012–2015). Education: Diploma in Business Administration (Diplom-Kaufmann), University of Potsdam His research focuses on the intersection of Artificial Intelligence , socio-technical systems , and digital transformation . Key areas include Explainable AI , Digital Twins , AI Governance , and Human-AI Interaction . His recent publications analyze algorithmic transparency, digital nudging, and affordance theory in AI systems. Notable trends in his work include: Foundational AI models and their ethical implications Relational quality in social networks Feedback mechanisms in mobile health applications Philosophical perspectives on digital twin perception Design principles for AI-based decision support Scientific accolades include: Best Paper Award at ICAART (2022) ICIS Best Short Paper in Health IS (2020) AIS Best Information Systems Publication of the Year (2016) Elite Award for Excellence (European University Information Systems, 2015) He has contributed to projects like sciebo – the Campuscloud for NRW and supervised student initiatives such as 'Mobile Learning.' Meske is an active member of the Association for Information Systems , German Informatics Society , and other academic bodies, focusing on computer-supported cooperative work and digital ethics.

Christine Bauerمشاهده پروفایل

استاد

• Recommender Systems
• Interactive Intelligent Systems
• Fairness in AI
• +۴ مورد دیگر

Christine Bauer is a Professor of Interactive Intelligent Systems at the Department of Artificial Intelligence and Human Interfaces (AIHI) at Paris Lodron University of Salzburg, Austria. She co-leads the focus area 'InterMediation. Music—Effect—Analysis' at Wissenschaft & Kunst. Her research integrates human-centered computing with intelligent technologies, specializing in fair recommendation systems. Education: Doctoral degree in Social and Economic Sciences (Business Informatics), University of Vienna (2009) MSc in Business Informatics, TU Wien (2011) Diploma in International Business Administration, University of Vienna (2002) Jazz Saxophone studies, Konservatorium der Stadt Wien Research Focus: Bauer's work centers on context-aware recommender systems with emphasis on music/media applications, fairness in algorithmic decision-making, and multi-method evaluation frameworks. She advocates human-centered AI approaches where technology adapts to societal needs. Publication Trends: Her recent work focuses on algorithmic fairness in music recommendation, gender imbalance mitigation, and evaluation frameworks for recommender systems, frequently employing cross-disciplinary approaches blending computer science with social sciences. Awards: Elise Richter Laureate (FWF) 6 best paper awards with 5 nominations Women in RecSys Journal Paper Awards (2023, 2024) 5 reviewing awards with 6 special recognitions Leadership: Principal Investigator of the FWF-funded 'Fine-grained Culture-aware Music Recommender Systems' project (€257k). Supervised 70+ theses. Serves as Associate Editor for TORS, TOIS, and JITT. Initiatives: Co-founder of PERSPECTIVES workshop series, FairRecKit analysis toolkit, and advocate for women in STEM through WiMIR, LEA Role Model program, and CHI Allyship initiatives.

Pierre-Majorique Légerمشاهده پروفایل

استاد

• User Experience (UX)
• Human-Computer Interaction (HCI)
• Human-Centered AI (HCAI)
• +۲ مورد دیگر

Pierre-Majorique Léger is a Full Professor at the Department of Information Technology , HEC Montréal. He serves as Director of the ERPsim Laboratory , Co-Director of Tech3Lab , and holds the Chair in User Experience IVADO . His research focuses on User Experience (UX) , Human-Computer Interaction , Human-Centered AI , NeuroIS , and Serious Games for Learning . M.Sc.A. (Industrial Engineering), Polytechnique Montréal Ph.D. (Electrical Engineering), Polytechnique Montréal Postdoctoral Fellowship (Information Technology), HEC Montréal His research interests combine neuroscience with information systems, examining: Cognitive load measurement in digital environments Human-AI collaboration dynamics Neuroadaptive interfaces User behavior in e-commerce Technostress mitigation UX evaluation in VR/AR Recent research trends show: Systematic reviews on AI ethics in industry/education Neurophysiological studies using EEG/fNIRS Experiments on multimodal interfaces Gamification effectiveness analysis Scientific Awards : IVADO Chair in User Experience Grand Prix de recherche (2024) Multiple best paper nominations (2020-2022) Advising & Grants : Directed 3 PhD theses and 74 MSc theses (2020-2025) Secured funding for ERPsim Lab's $2M research grant Collaborated with Tech3Lab on international projects Laboratories : Co-Director, Tech3Lab Director, ERPsim Laboratory IVADO-affiliated researcher