جست‌وجوی استاد و پژوهشگر

Mark Cotéمشاهده پروفایل

مدرس ارشد

• Computer Science
• Artificial Intelligence
• Cross-disciplinary research
• +۵ مورد دیگر

Dr. Mark Coté is a Reader in Data and Society at King's College London, affiliated with the Department of Digital Humanities within the Faculty of Arts & Humanities. He specializes in the societal implications of data, AI, and computation, with a focus on ethics, privacy, and cross-disciplinary collaboration. His research leadership includes roles as PI of the UK's national REPHRAIN centre for online harm mitigation and the European SoBigData infrastructure for social data analytics. Coté has secured over £10 million in grants from EPSRC, H2020, and AHRC. He teaches the MA in Big Data Culture and Society, emphasizing critical analysis of AI, machine learning, and data-driven technologies. His work bridges technical and humanistic perspectives, addressing issues like voice assistant ethics, surveillance capitalism, and AI bias. Collaborations include the Open Data Institute, British Library, and institutions in Europe. Coté’s grants and projects reflect a commitment to participatory data governance and societal impact. Research Interests: Sociotechnical systems, AI ethics, data privacy, online harm reduction, computational humanities, and cross-disciplinary methodologies. Projects: REPHRAIN: UK National Research Centre on Privacy & Online Harm SoBigData++: Pan-European Big Data Analytics Infrastructure Secure AI Assistants (SAIS): Understanding AI Ecosystem Risks Publications highlight systematic reviews on voice assistant ethics, critical analyses of mobile SDK monopolies, and frameworks for meaningful consent. His work often critiques surveillance practices and advocates for equitable data governance. Coté is a sought-after speaker, addressing venues like the British Academy and European Parliament on issues of digital ethics and policy.

Vera Katzenbergerمشاهده پروفایل

استادیار

• Journalism
• Digital Journalism
• Podcasts
• +۳ مورد دیگر

Vera Katzenberger serves as Junior Professor for Digital Journalism at Leipzig University's Institute of Communication and Media Studies since April 2024, focusing on innovation and transformation in journalism through digital media, data, artificial intelligence, and algorithmic applications. Education: Doctorate in Communication Science, University of Bamberg (2016-2022) Master of Arts in Communication Science; Bachelor of Arts in Political and Social Studies and English Studies from University of Bamberg, University of Würzburg, and Free University of Brussels (2012-2016) Research Focus: Dr. Katzenberger conducts empirical research on journalism under digitalization, with current emphasis on podcasts as digital entertainment/information media. Her work examines production conditions, media content, monetization strategies, marketing approaches, and platform distribution logic using mixed quantitative/qualitative communication science methods enhanced by computational communication science techniques. Teaching Approach: Her curriculum integrates journalism transformation theory with project-based learning, emphasizing research-practice transfer through hands-on quantitative/qualitative method training and close student collaboration in applied project seminars.

Yael Grushka-Cockayneمشاهده پروفایل

استاد

• Data Science
• Forecasting
• Project Management
• +۴ مورد دیگر

Professor Yael Grushka-Cockayne is a faculty member at the University of Virginia's Darden School of Business. Her academic career spans research and teaching in Data Science, Forecasting, Project Management , and Behavioral Decision-Making . She holds degrees from Ben-Gurion University (B.Sc.), London School of Economics (M.Sc.), and London Business School (Ph.D., M.Res.). Current affiliations: Darden School of Business (University of Virginia) Academic rank: Professor Professional memberships: INFORMS, Decision Analysis Society, Operational Research Society, Project Management Institute (PMI) Her research focuses on data-driven decision-making , project scheduling , and forecasting methodologies . Recent publications emphasize AI applications in business coding and technical decision frameworks . She has authored influential studies on ensemble forecasting , quantile evaluation , and behavioral biases in project planning . Key trends in her recent work (2023-2024) include: AI integration in business coding and software development Technical decision economics and resource allocation Project management methodology innovation Behavioral aspects of software development and digital transformation Scientific recognition includes: Darden Morton Leadership Faculty Award (2011) Mead-Colley Award (2012) Darden Outstanding Faculty Award (2013, 2022) University of Virginia All University Teaching Award (2015) Multiple Transformational Faculty Awards (2024, 2025) She leads executive education programs like AI Essentials for Government Leaders and has developed digital learning platforms such as the Coursera MOOC Fundamentals of Project Planning and Management (350,000+ learners). As associate editor at Management Science and Operations Research , she shapes academic discourse in decision analysis and operations management.

Chrysanthos Dellarocasمشاهده پروفایل

استاد

• Online Reputation
• Social Media
• Information Systems
• +۴ مورد دیگر

Chrysanthos Dellarocas is the Richard C. Shipley Professor of Management and Associate Provost for Digital Learning & Innovation at Boston University's Questrom School of Business. As one of the world's most cited scholars in online reputation and social media, he has consulted for corporations and the U.S. Federal Government. His leadership in digital learning involves strategic collaborations across BU's 17 schools to advance 21st-century educational technologies. Education: Ph.D. and M.S. in Computer Science from MIT, Diploma in Electrical Engineering from National Technical University of Athens. His research focuses on online reputation systems , social media dynamics , and digital platform design , with significant contributions to understanding trust mechanisms, crowdsourcing, and information economics. Recent publications emphasize social network data applications , strategic link formation , and MOOC business models . He has pioneered frameworks for trust in digital environments and collaborative innovation.

Nuno Sousa e Silvaمشاهده پروفایل

استادیار

• Intellectual Property
• IT Law
• EU Law
• +۳ مورد دیگر

Nuno Sousa e Silva is an Assistant Professor at the Faculty of Law, Universidade Católica Portuguesa, and a Partner at PTCS. He graduated (2011), earned his Master’s (2013), and completed his PhD (2019) at the Porto School of Law. He holds an LL.M. in Intellectual Property and Competition Law from the Munich Intellectual Property Law Center (2013). His work spans Intellectual Property, IT Law, EU Law, and Private Law, with 144 research outputs and active involvement in the Católica Research Centre for the Future of Law (CEID-CRCFL) since 2020. PhD in Law, Universidade Católica Portuguesa (2019) LL.M. in Intellectual Property, MIPLC (2013) Master’s in Law, Universidade Católica Portuguesa (2013) Licenciatura (LL.B.) in Law, Universidade Católica Portuguesa (2011) His research focuses on Intellectual Property, Artificial Intelligence, EU Law, and LegalTech, contributing to 17 global Sustainable Development Goals via education and legal innovation. He has published 4 books, over 50 articles, and supervised 23 research works. His 2025 articles address AI regulation and digital inheritance, while 2023-2024 outputs explore copyright adaptation and AI-robotics liability. He received the Prémio Abreu Advogados (2020), acted as legal expert for international institutions, and taught in Portugal, Germany, Hungary, Poland, Denmark, and the UK. Recent supervisions include Valente, C.D.P.D.O. (2023) on GDPR-related civil liability. His 2022-2025 projects emphasize CEID-CRCFL, AI-legality intersections, and EU legal harmonization.

Simon Steuerمشاهده پروفایل

پژوهشگر

• Hybrid Location Models
• Internet of Things
• Data Quality of Environmental Sensors
• +۳ مورد دیگر

Simon Steuer, M.Sc., is a Research and Teaching Assistant (Wissenschaftlicher Mitarbeiter) at the Chair of Mobile Systems within the Faculty of Information Systems and Applied Computer Sciences at the University of Bamberg, Germany. Since 2016, he has been actively contributing to research and teaching in the areas of hybrid location models, Internet of Things (IoT), and data quality of environmental sensors. Education 2014–2016: Master of Science in Applied Computer Science, University of Bamberg 2010–2014: Bachelor of Science in Media Informatics, Hochschule Hof 2004–2007: Vocational Training as IT Systems Electronics Technician, Deutsche Telekom AG Research Interests Simon Steuer's research is centered around the development of hybrid location models that integrate symbolic and geometric location information. He is particularly focused on applications in smart agriculture, such as the WeideInsight project, where he works on energy-efficient localization systems for cattle using Bluetooth Low Energy (BLE) and Mioty (LPWAN) technologies. His work also encompasses the improvement of data quality from environmental sensors, especially in citizen science contexts, and the design of privacy-preserving architectures for smart city labs. Research Projects & Theses Supervision Steuer actively supervises student theses and projects, including: Development of semantic models for hybrid cow location techniques Data generators for smart spaces and agriculture simulations Filtering and evaluation of beacon-based indoor positioning data Literature surveys on map matching and information visualization in smart agriculture Code refactoring for LPWAN-based environmental sensors Design of location data players and visualization tools Labs and Teams He is a member of the Chair of Mobile Systems research group led by Prof. Dr. Daniela Nicklas. The group collaborates on projects such as Explanym , Crowdanym , FutureIOT , Living Lab Bamberg , SIMUTOOL , and WeideInsight , fostering interdisciplinary research in mobile systems, IoT, and smart environments.

• Media Analytics
• Algorithmic Culture
• Digital Marketing
• +۷ مورد دیگر

Ryan Stoldt is an Assistant Professor of Advertising at Drake University's School of Journalism and Mass Communication, where he teaches courses on digital media strategies, advertising research, and media analytics. Holding a Ph.D. in Communication from the University of Iowa, he earned a Best Dissertation Award from the International Communication Association’s Global Communication and Social Change Division in 2022. Education: Ph.D., University of Iowa Graduate Certificate in College Teaching, University of Iowa M.A. and B.A., Wichita State University Stoldt’s research explores algorithmic distribution in creative industries, metadata’s role in platform governance, and ethical challenges in social media influencer marketing. His work has been funded by a $1.2 million U.S. Department of Defense grant (2020) and a subsequent $1.7 million grant (2023) for studying algorithmic vulnerabilities in strategic information operations. His publications in journals like Communication, Culture, & Critique and Information, Communication, & Society reflect a focus on algorithmic bias, digital ethics, and media production. He also serves on the editorial board of the Journal of Communication Inquiry . Scientific Awards: Best Dissertation Award, International Communication Association (2022) Public Relations Society of America Travel Industry Association of Kansas Stoldt’s article portfolio reveals a trajectory from interactive television studies (2019) to contemporary investigations of AI ethics and political radicalization mechanisms (2025). His work consistently bridges technical algorithmic analysis with sociocultural implications. Previously, he held a professional career as digital marketing manager for Visit Wichita, consulting major brands like Papa John’s. He maintains professional connections through Instagram and Bluesky at @ryanstoldt.

Ryan Jenkinsمشاهده پروفایل

دانشیار

• Applied Ethics
• Technology Ethics
• Military Ethics
• +۸ مورد دیگر

Ryan Jenkins is an Associate Professor in the Philosophy Department at California Polytechnic State University at San Luis Obispo, and a Senior Fellow at the Ethics + Emerging Sciences Group. Specializing in applied ethics (particularly military ethics and emerging technologies) and normative ethics (especially consequentialism), his work bridges classical philosophical frameworks with modern technological challenges. His recent research focuses on ethical integration of AI in policing, warfare, and digital platforms, with an emphasis on value-sensitive design and moral deliberation in autonomous systems. Articles like Threads and Needles (2025) and Autonomous Weapons Systems (2020) exemplify his cross-disciplinary approach combining ethics, technology, and policy. As Principal Investigator for the NSF-funded project Artificial Intelligence and Predictive Policing (2019–2022), Jenkins has led initiatives addressing ethical AI deployment. His teaching portfolio spans existentialism, environmental ethics, and philosophy of technology, reflecting his broad engagement with ethical questions in science and society.

Jia Huمشاهده پروفایل

استادیار بالینی

• Social Determinants of Health
• Housing and Health
• Climate Change and Health
• +۵ مورد دیگر

Jia Hu is a public health physician and medical lead of the prevention and health promotion team within Population and Public Health at the British Columbia Centre for Disease Control (BCCDC). He also holds a position as a Clinical Assistant Professor at the University of British Columbia's School of Population & Public Health, where he contributes to academic training and research in public health disciplines. Dr. Hu's educational background includes medical training at the University of Alberta, followed by residency training in family medicine and public health and preventive medicine at the University of Toronto. During his residency, he earned a Master of Science in Health Policy, Planning, and Finance from the London School of Economics and the London School of Hygiene and Tropical Medicine. His research interests span multiple critical areas in modern public health, with particular focus on social determinants of health, housing and health, climate change and health, food security, mental wellness, and cancer prevention and screening. Dr. Hu has also developed significant expertise in behavior change and marketing strategies specifically tailored for public health interventions such as vaccination programs and cancer screening initiatives. His work bridges clinical practice with population-level health promotion strategies. Analysis of Dr. Hu's recent publications reveals a strong interdisciplinary research profile that spans public health, epidemiology, and increasingly, computational approaches to health data. While his earlier work focused on traditional public health domains, his recent publications show a growing engagement with artificial intelligence, natural language processing, and speech technology applications in healthcare contexts. This evolution demonstrates his ability to adapt to emerging technological paradigms while maintaining focus on core public health challenges. Dr. Hu's professional journey includes diverse experiences that have shaped his interdisciplinary approach: working at McKinsey advising large organizations on health-related issues, serving as a Medical Officer of Health in Alberta where he contributed to the COVID-19 response, and founding and leading a public health non-profit organization focused on increasing uptake of preventive health behaviors. As medical lead of the prevention and health promotion team at BCCDC, Dr. Hu oversees initiatives that address a wide range of public health concerns across British Columbia. His work integrates evidence-based approaches with practical implementation strategies to improve population health outcomes through prevention-focused interventions and health promotion activities.

• Economics
• Legal Technology
• Public Understanding of Law
• +۶ مورد دیگر

Lena Song is an Assistant Professor of Economics at the University of Illinois, focusing on interdisciplinary research at the intersection of economics, legal technology, and digital behavior. Her work addresses critical challenges in public understanding of legal systems, digital addiction, and microentrepreneurship. Research Themes: Digital platforms, legal technology, behavioral economics, and social equity. Collaborations: Cross-disciplinary partnerships in computer science and law. Recent publications analyze social media's economic implications, microentrepreneurial financial dynamics, and AI-driven legal summarization tools. Her articles explore topics like the economics of social media, digital addiction metrics, and judicial transparency. Song's work has garnered significant attention, including policy citations and news coverage. Her research methodology spans experimental design, data-driven analysis, and interdisciplinary frameworks. Song also investigates the societal impacts of smartphone usage, political discourse algorithms, and racial justice advocacy through digital platforms.

• Technology Management
• Innovation Management
• Business Model Innovation
• +۷ مورد دیگر

Prof. Dr. Kai-Ingo Voigt is a full Professor and Chairholder of Industrial Management at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). He served as Dean of the Faculty of Business, Economics and Social Sciences (2003–2005) and has been Dean of Continuing Education since 2021. He holds cross-faculty membership in the Faculty of Engineering. Internationally, he is a Visiting Professor at Tongji University (Shanghai), Universidad de Alcalá (Spain), Babson College (USA), and the University of International Business and Economics (Beijing). His research focuses on technology and innovation management (especially business model innovation), creativity in organizations , industrial value creation ( Industry 4.0/5.0 with focus on automotive and engineering), procurement and production management , industrial/B2B platforms , and data-driven business models . Analysis of his recent publications reveals a dominant focus on the transformative impact of digital technologies (IoT, platforms, metaverse, blockchain) on industrial business models and value chains. Key themes include sustainability integration in manufacturing and supply chains, consumer acceptance of sustainable/tech innovations, organizational adaptability in digital transformation (especially for SMEs), and the evolving dynamics of work environments and creativity . Methodologically, his work employs case studies, experiments, and literature reviews across engineering and social science domains. He actively advises doctoral students, evidenced by extensive co-authorship on publications covering diverse aspects of digital industrial transformation, innovation management, and consumer behavior. He leads a research group focused on industrial management and digitalization, collaborating widely across disciplines and industries.

• Health Economics
• Health Literacy
• Self-Management Programs
• +۴ مورد دیگر

Katharina Klesper serves as a PartTime Lecturer at Fresenius University of Applied Sciences (digital healthcare systems) and FOM University of Applied Sciences (health/social insurance systems), while concurrently pursuing her PhD at Hannover Medical School's Institute for Epidemiology, Social Medicine and Health Systems Research under the ChEG scholarship program. Her academic trajectory bridges practical industry experience through her independently founded health communications agency with rigorous scholarly research in health economics. Her educational foundation includes: B.Sc. in Health Sciences from Hamburg University of Applied Sciences M.Sc. in Health Economics from University of Bayreuth Current PhD candidate at Hannover Medical School Klesper's research program critically examines self-management support interventions for multiple sclerosis patients within the German healthcare context, with particular focus on health literacy outcomes, therapy adherence metrics, and cost-effectiveness analyses. Her work extends to digital health transformation in long-term care and patient support program evaluation, consistently applying evidence-based approaches to address real-world healthcare system challenges. This dual academic-practitioner perspective informs both her dissertation methodology and her agency's communications strategies. Analysis of her 15 most recent publications (2015-2020) reveals consistent output across health economics and health services research domains, with 73% focusing on German healthcare system applications. Key thematic clusters include digital health implementation (27%), patient support program evaluation (33%), and budget impact analysis of medical interventions (20%), demonstrating her specialization in translating clinical outcomes into economic value propositions for healthcare decision-makers. Supported by the ChEG doctoral scholarship, Klesper maintains active teaching roles while conducting her dissertation research. She does not supervise students nor lead a research laboratory, instead channeling her expertise through her health communications agency which applies scientific rigor to practical healthcare communication challenges. Her professional approach emphasizes pragmatic solutions grounded in evidence-based analysis across all academic and professional activities.

• Smart Technologies
• Computer Science
• Information Technology
• +۱۳ مورد دیگر

Professor May El Barachi is the Head of School of Computer Science at University of Wollongong in Dubai. An Egyptian Canadian Computer Scientist and Smart Technology Expert, she holds degrees in Telecom Engineering, Computer Engineering, and Computer Science. Professor El Barachi has established herself as a leader in smart technologies research with international standing. Her academic journey includes a B.Sc. in Electronics and Communication Engineering from the Arab Academy for Science and Technology, followed by an M.A.Sc. in Computer Engineering and a Ph.D. in Computer Science from Concordia University, Canada. As Head of School, she has spearheaded the design of an innovative master's program in digital transformation and revamped computer science majors to enhance student learning experiences. Professor El Barachi's research spans multiple domains including Smart Transportation, Smart Cities, BioTech, and Inclusion & Innovation. Her work focuses on developing practical solutions to real-world problems through the integration of legacy and emerging technologies. She has established collaborations with international universities in Canada, the UK, and Lebanon, as well as industry partners including Rogers Canada, Du, Cleveland Clinic Abu Dhabi, UAE Ministry of Health, and Talk5. She has raised more than 4 Million Dirhams in research funding over the past five years and has received the exemplary faculty award twice (2013 and 2015) for excellence in teaching, research, and service. Professor El Barachi is also a certified trainer in emerging technologies including Blockchain, Big Data, Data Science, Internet of Things, and Artificial Intelligence, holding numerous industry certifications from IBM, EC Council, and CISCO. Exemplary faculty award (2013, 2015) EC Council Certified Ethical Hacker CISCO CCNA Certified Instructor Multiple IBM certifications across Big Data, Blockchain, AI, and Cloud Computing As an educator, Professor El Barachi employs a student-centric, pragmatic teaching approach that emphasizes real-world relevance through examples, systems, and case studies. She has developed and taught courses in Distributed Systems, Information Security, Networking, Mobile Computing, and Emerging Technologies, fostering an interactive and engaging learning environment for her students.

Jan Ondrusمشاهده پروفایل

استاد

• Digital Ecosystems
• Mobile Payments
• Business Model Innovation
• +۷ مورد دیگر

Jan Ondrus is a Full Professor at ESSEC Business School (officially École Supérieure des Sciences Économiques et Commerciales) in the Department of Information Systems, Decision Sciences and Statistics. His academic journey at ESSEC began in 2007 as an Assistant Professor, advancing to Associate Professor in 2015, and achieving Full Professor status. Previously, he completed his PhD at the University of Lausanne's Information Systems Department (2003-2007). Professor Ondrus's research examines the strategic impact of information technology on digital business ecosystems. His primary focus areas include: Mobile payment systems and NFC technology adoption Digital platform governance and ecosystem design Business model innovation through disruptive technologies Strategic IT management in evolving digital markets Transformation of industries through digital solutions His recent publications demonstrate a consistent focus on platform ecosystems, mobile payment infrastructure, and digital transformation strategies. The research utilizes diverse methodologies including case studies, framework development, and multi-criteria analysis. Recent works explore platform governance models, technology adoption barriers, and ecosystem orchestration strategies across various industries including finance, entertainment, and public services. No scientific awards or student advisees are mentioned in the source material. Similarly, no information is available regarding research grants, lab facilities, or specialized research teams.

Stefan Wagnerمشاهده پروفایل

استاد

• Innovation Management
• Technological Change
• Intellectual Property
• +۳ مورد دیگر

Univ.-Prof. Dr. Stefan Wagner is a Professor of Business Administration with a focus on Innovation and Technology Management at the University of Vienna since October 2024. Previously, he held positions as Assistant Professor (2011–2012), Associate Professor (2013–2022), and Director of the PhD Program (2017) at ESMT European School of Management and Technology in Berlin. He has also served as Senior Fellow at the Berlin Center for Consumer Policy, Visiting Fellow at the University of Melbourne, and Visiting Professor at Pontificia Universidad Católica de Chile. Wagner’s research explores innovation processes, patent systems, and business strategy. His work examines how firms leverage technological recombination inventor mobility freemium pricing models patent thickets data-driven optimization to enhance competitiveness and drive technological progress. His recent publications focus on topics like bureaucracy measurement in German legislation personalized content monetization in mobile games software product bundling strategies Markush patent structures data exclusivity in pharmaceutical innovation reflecting his expertise in linking innovation research to practical business applications.