جست‌وجوی استاد و پژوهشگر

Annabel Lathamمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence in Education
• Ethics and Trust of AI
• Computational Intelligence
• +۸ مورد دیگر

Dr. Annabel Latham is a Senior Lecturer in Computer Science at Manchester Metropolitan University within the Faculty of Science and Engineering’s Computing and Mathematics department. She holds a PhD in Artificial Intelligence, an MSc in Computing, a Postgraduate Certificate in Academic Practice, a CIM Diploma in Marketing, and a BSc(Hons) in Computation. As a Fellow of the Higher Education Academy (FHEA) and Senior Member of IEEE (SMIEEE), she contributes extensively to AI research and education. PhD in Artificial Intelligence MSc in Computing PGC Academic Practice CIM Diploma in Marketing BSc(Hons) Computation FHEA (2015) SMIEEE (2018) Research Interests include Artificial Intelligence in Education , Ethics of AI , and Computational Intelligence . She specializes in conversational agents, intelligent tutoring systems, and public trust in AI. Her work addresses fairness, accountability, and accessibility in AI-driven education, leveraging technologies like large language models and fuzzy logic. Research Outputs span 15 years, with a focus on explainable AI, educational applications of conversational agents, and ethical frameworks. Recent work (2024-2025) explores postdigital citizen science, trustworthy AI implementation, and XAI usability for non-specialists. 2023 IEEE Region 8 Outstanding Women in Engineering Volunteer Award 2019 IEEE Region 8 Outstanding Women in Engineering Affinity Group of the Year 2018 Outstanding Peer Reviewer, Elsevier: Computers & Education Senior Member IEEE (2018) FHEA (2015) Teaching and Supervision includes undergraduate Databases, postgraduate units in Information Systems and AI Ethics. She supervises MSc and PhD students in areas like explainability-aware machine learning, data responsibility, and AI trustworthiness. Her grants involve collaborations with international funding bodies such as NAFOSTED (Vietnam) and Croatia’s National Council for Science. Labs and Groups include the Computational Intelligence Lab, Machine Intelligence research group, and the Data and AI Ethics research group, where she co-leads initiatives on ethical AI in education.

Jamal El-Denمشاهده پروفایل

مدرس ارشد

• Knowledge Management
• Positive Psychology
• Group Support Systems
• +۶ مورد دیگر

Dr. Jamal El-Den is a Senior Lecturer in Information Systems at Charles Darwin University's Faculty of Science and Technology. He holds a PhD in Information Systems from the University of Technology Sydney. His research focuses on Knowledge Management, Positive Psychology, Group Support Systems, Organizational Productivity, and the transformative role of Social Media in Education. He has successfully graduated three PhD students and currently supervises two more. His work bridges theoretical frameworks with practical applications in areas like AI-driven education, sustainable digital learning, and healthcare informatics. Dr. El-Den is actively engaged in interdisciplinary research, exploring topics such as energy-efficient 6G networks and smart urban systems. His publications span over 20 years, demonstrating a commitment to advancing Information Systems across diverse domains. Education: PhD in Information Systems (UTS Sydney). Key research interests include AI-enabled reskilling, sustainable digital learning, and the intersection of technology with organizational well-being. He has contributed to frameworks for social media adoption in educational and enterprise contexts, emphasizing cooperative learning and knowledge sharing. Notable research contributions include studies on diabetic retinopathy diagnosis via deep learning, stochastic models for technology adoption, and security compliance through positive psychology interventions. His work often addresses real-world challenges in education, healthcare, and urban planning, reflecting a dedication to socially impactful research.

Andrzej Zarzyckiمشاهده پروفایل

دانشیار

• Architectural Design
• Building Information Modeling (BIM)
• Smart Building Technologies
• +۵ مورد دیگر

Andrzej Zarzycki is an Associate Professor at the NJ School of Architecture, New Jersey Institute of Technology (NJIT). He holds an M.S. in Architecture and Urbanism from MIT (1994), a Master of Architecture from Gdańsk University of Technology (1992), and completed a visiting program at the Royal Danish Academy of Fine Arts (1991). Dr. Zarzycki’s research focuses on integrating emerging technologies—such as BIM, augmented reality (AR), and AI—into architectural design and education. His work emphasizes smart building systems, digital design pedagogy, and computational tools for enhancing creativity and sustainability. He has been recognized with the 2019 NJIT Award for Excellence in Research and the 2015 CAADRIA Best Presentation Award. His teaching spans design studios, BIM-driven curriculum development, and courses on AR and smart technologies. Recent research explores AI’s role in creative processes, photogrammetry in historic preservation, and the synergy of data analytics with building systems. He advocates for maintaining human agency in technology-mediated design while advancing interdisciplinary approaches to architectural education and practice. Key contributions include over 35 publications on topics like smart building interfaces, parametric BIM, and the ethical implications of AI in design. His work bridges theory and practice, aiming to redefine architectural education through technology integration and innovative curricula.

Frauke Sanderمشاهده پروفایل

استاد

• Strategic Management
• Sustainability in Marketing
• Project Management
• +۵ مورد دیگر

Prof. Dr. Frauke Sander is a Professor of General Business Administration at Hochschule Pforzheim (Pforzheim University) in Germany. She holds a dual affiliation within the Business School and has expertise in strategic management, sustainability, and technology-driven decision support. Her academic career includes roles as Interim Professor at Pforzheim University (2014–2016) and research assistantships at Ludwig-Maximilians-University Munich (2000–2004), where she completed her doctorate on premium brands. Educational Background: Master’s in Business Administration from Westfaelische Wilhelms University Muenster and Copenhagen Business School Doctorate (Dr. rer. pol.) from Ludwig-Maximilians-University Munich, specializing in premium brand dynamics Postgraduate Master of Business Research (2004) Research focuses on: Sustainability strategies in marketing and corporate social responsibility Impact of digitization/AI on strategic decision-making Consumer perception of ethical/sustainable brand communication Authentic brand activism vs. 'woke washing' Professional Experience: Deloitte Consulting (2006–2014): Corporate & Market Strategy consulting for manufacturing clients Freelance management consultant in Germany/Panama for the Forest Stewardship Council Contributions to cooperative finance research via Hohenheimer Genossenschaftsforschung series Teaching emphasizes strategic management fundamentals alongside specialized modules in project management, business research, and consulting methodologies.

Yu Baoمشاهده پروفایل

استادیار

• Diagnostic Classification Modeling
• Computerized Adaptive Testing
• Psychometrics
• +۴ مورد دیگر

Yu Bao is an Assistant Professor in the Department of Graduate Psychology at James Madison University (JMU) and serves as an Assistant Assessment Specialist in the Center for Assessment and Research Studies (CARS). She joined JMU in 2019 and holds a Ph.D. in Quantitative Methodology from the University of Georgia, an M.S. and B.S. in Statistics from Beijing Normal University. Her scholarly interests include diagnostic classification modeling, computerized adaptive testing, and psychometric methods. She leads the Program Assessment Support Services (PASS) in CARS, collaborating with four graduate students to support JMU’s academic program reviews, assessment reporting, and faculty development workshops. Her research focuses on advancing assessment methodologies in education and neuroscience, including applications of machine learning in brain connectivity analysis and large language model evaluation. She has contributed to studies on child behavioral risk assessment, self-regulated learning in MOOCs, and cross-cultural analyses of educational barriers. Yu Bao’s work bridges statistical theory with practical educational challenges, emphasizing the ethical and technical dimensions of AI-driven assessment systems. Her publications span neuroimaging data analysis (e.g., functional connectivity networks in human and macaque brains) and educational assessments (e.g., validation of behavioral screening tools in Chinese schools, OER adoption barriers). She actively engages in interdisciplinary collaborations, addressing topics like gender disparities in creativity identification and AGI ethics. Yu Bao’s role in CARS ensures alignment between institutional assessment practices and academic excellence, particularly during disruptions like the pandemic.

Chipp Jansenمشاهده پروفایل

پژوهشگر

• Robotics
• Artificial Intelligence
• Sustainable Textile Circular Economy
• +۶ مورد دیگر

Chipp Jansen is a researcher at the Materials Science Research Centre within the School of Design at the Royal College of Art. His work focuses on interdisciplinary robotics and AI applications for sustainability, particularly in textile circular economies. He holds a PhD in Robotics from King’s College London and has taught at institutions including King’s College London, Brunel University, City University of New York, Pratt Institute, Cornell University, and the University of Michigan. His research bridges robotics/computer science with art/design through platforms enabling collaborative creation. Key projects include AiLoupe , a material recognition app for designers, and studies on circular supply chains for biomaterials. He advocates for sustainable practices in consumer electronics through hardware re-use and reverse engineering. Dr. Jansen has received funding from the EPSRC for his doctoral work on collaborative drawing systems. Recent publications address textile robotic interaction and designer-robot collaboration, contributing to human-robot interaction research. His work emphasizes practical workflows for artists and circular economy applications.

• Artificial Intelligence
• Procedural Content Generation
• Game Design
• +۵ مورد دیگر

Amy Hoover is an Assistant Professor in the Informatics department at New Jersey Institute of Technology (NJIT). Her research focuses on artificial intelligence, procedural content generation, and the intersection of AI with creative domains such as music composition and video game design. She explores topics like evolutionary algorithms, open-ended learning systems, and ethical considerations in AI applications. Her work spans contributions to procedural content generation (PCG) in games, including automated deckbuilding for Hearthstone and generative level design. She also investigates peer learning dynamics in AI systems and the application of large language models (LLMs) for creative tasks. Hoover’s research often bridges computational methods with human-centric design, such as curriculum development in AI education and fostering creativity through interactive tools. Her publications reflect collaborations in AI-driven game design, music composition, and educational technology. Media coverage highlights her work on ethical risks in mixed-reality gaming and AI’s role in mental health support through gaming communities. Notable contributions include frameworks like Watts for open-ended learning, ensemble learning methodologies inspired by human collaboration, and studies on transfer dynamics in evolutionary curricula. Her work emphasizes practical applications of AI in both technical and creative fields.

Mike Phillipsمشاهده پروفایل

استاد

• Interdisciplinary Arts
• Data Visualization
• Immersive Media
• +۴ مورد دیگر

Professor Mike Phillips is a leading academic in Interdisciplinary Arts at the University of Plymouth, serving as Director of Research at i-DAT.org and Research Lead at the School of Art, Design and Architecture. His work focuses on data as a creative material, exploring its potential to reveal hidden phenomena through immersive technologies. He directs the Fulldome Immersive Vision Theatre (IVT), a transdisciplinary platform collaborating with medical, astronomical, and environmental fields. Phillips also leads CODEX, an international PhD network linking UK and Chinese institutions. His career spans over three decades, including founding the Institute of Digital Art and Technology (i-DAT) in 2000 and contributing to projects such as the STI Project (Wellcome Trust-funded) and E/M/D/L (European mobile dome lab). Phillips has secured millions in research funding from AHRC, EPSRC, and EU initiatives like CogNovo (€4.1m). He has supervised 80+ PhD completions and examined across 21 international universities. Research interests include data visualization, nanotechnology art (e.g., 'Exposure' at UCLA), and the ethical implications of immersive technologies. His work bridges art, science, and engineering through exhibitions, residencies, and the annual Fulldome UK festival. Phillips sits on the ISEA International Board and Arts Council England’s Digital Reference Group, advocating for transdisciplinary innovation. Teaching focuses on ergodynamic design strategies, digital media, and research methods for postgraduate students. His modules include Programming Audio/Visual Experiences and Invisible Architecture. Past roles include Deputy Director of STAR (Science Technology and Arts Research) and leadership in interactive media education.

• Digital Law
• Ethical Agency
• Generative AI
• +۴ مورد دیگر

Professor Sylvie Delacroix holds the Inaugural Jeff Price Chair in Digital Law at King’s College London’s Dickson Poon School of Law and directs the Centre for Data Futures. She is also a visiting professor at Tohoku University. Her work bridges law, ethics, and technology, focusing on data governance, AI’s societal impact, and ethical agency. Key research areas include data trusts, machine learning interpretability, and uncertainty communication in LLMs. She has been awarded the Leverhulme Prize and the Montgomery Fellowship. Her grants include funding from the Patrick J. McGovern Foundation, Wellcome Trust, and others. She supervises PhD students in AI ethics and legal theory, and her interdisciplinary projects include KingsCAT, a social media analysis tool. Recent events she co-organized include discussions on AI in education and medical care. Her book Habitual Ethics? explores non-deliberative foundations of ethical agency. Research Interests: Agency, habit, and ethical decision-making; data ecosystems and generative AI sustainability; participatory infrastructure; legal frameworks for emerging technologies. Awards: Leverhulme Prize (2020), Montgomery Fellowship (2025). Grants: Patrick J. McGovern Foundation, Wellcome Trust, Omidyar Network, etc. Active in policy initiatives, including the Public Policy Commission on algorithms in justice systems. Leads the Data Trusts Initiative, promoting bottom-up data empowerment mechanisms. Teams/Labs: Centre for Data Futures, KingsCAT project. Collaborates across disciplines on AI ethics and legal tech.

Jean-François Ouelletمشاهده پروفایل

دانشیار

• Entrepreneurial Marketing
• Lean Startup Method
• New Product Development
• +۳ مورد دیگر

Jean-François Ouellet is an Associate Professor at the Department of Entrepreneurship and Innovation at HEC Montréal (University of Montreal). He holds a postdoctoral degree from MIT and is a Fellow at the Centre interuniversitaire de recherche en analyse des organisations (CIRANO). He serves as Chief Economist and former Associate Director of the Montreal Creative Destruction Lab, supporting AI-driven startups. His expertise spans entrepreneurial marketing, lean startups, cross-cultural marketing, and innovation management. Education: MBA in Marketing, Université Laval PhD in Management (Marketing), Université de Grenoble II Post-Doctorate in Innovation Management, MIT Research Interests: Entrepreneurial strategies for startups and SMEs Artificial Intelligence and IoT in business Marketing of innovation and technology Cross-cultural consumer behavior Awards: 2× Gemini Award Nominee (2012, 2014) for hosting Génération INC., a TV show on entrepreneurship 2011 Personnalité exSTRATordinaire by APCM Labs/Teams: Creative Destruction Lab (Montreal), a global initiative for AI-focused startups. Other Contributions: Authored Happiness as a Business Plan (2014) Consultant and speaker for major organizations like Orange Telecom, Desjardins, and Loto-Québec

• Empirical Modeling
• Digital Marketing
• Data-driven Consumer Insights
• +۵ مورد دیگر

Amy Song is a Professor of Marketing at NEOMA Business School, specializing in empirical modeling of consumer choices, digital marketing strategies leveraging big data, and the societal impact of marketing. Her research integrates interdisciplinary approaches to examine topics such as luxury product perception, ridesharing market dynamics, and sustainable consumer behavior. She has advised numerous leading companies across sectors, contributing to strategic decision-making through data-driven insights. Research Interests : Her work focuses on understanding how marketers' strategic decisions influence consumer behavior, particularly in digital ecosystems. Key themes include: Benefit framing in product marketing AI-driven luxury product design challenges Impact of policy interventions (e.g., EV subsidies) on markets Social influence mechanisms in organizational learning Privacy concerns in personalized marketing Academic Contributions : Her recent work explores emerging trends like generative AI's role in luxury branding and the behavioral effects of ridesharing on vehicle purchases. Earlier studies have analyzed eco-friendly product positioning, sustainable fashion retail practices, and cross-cultural luxury consumption patterns in China. Professional Engagement : She actively participates in industry consultations and serves as a business advisor to organizations like Carl Zeiss and Shanghai DuduDriver, applying academic insights to real-world marketing challenges.

Katharina De Vitaمشاهده پروفایل

دانشیار

• Innovation Management
• Higher Education Pedagogy
• Technology in Education
• +۳ مورد دیگر

Dr Katharina De Vita is the Deputy Director of Education and a Reader in Innovation at Manchester Metropolitan University's Faculty of Business and Law. She leads the Innovation and Teaching Excellence Learning Lab (I-TELL) and focuses on academic leadership, student experience, and innovation management. Her roles include strategic oversight of educational initiatives, curriculum development, and quality assurance. She is a Senior Fellow of the Higher Education Academy (SFHEA) and Certified Management & Business Educator (CMBE). Research interests span innovation management, technology's role in education, co-creation methodologies, and policy-driven educational reforms. Her work emphasizes student engagement, digital transformation in learning, and the intersection of innovation ecosystems with societal needs. She has attracted significant funding, including a £300k British Academy grant for the Penang Living Lab project and collaborations with institutions like the QAA and Imagination Lab Foundation. Awarded for her contributions to education, Katharina has held leadership roles in the International Society for Professional Innovation Management (ISPIM) and Barking and Dagenham College’s Curriculum & Quality Committee. She actively engages in national policy discussions on academic integrity, degree classifications, and AI in education. Her speaking engagements span global conferences, including the European Council for Business Education and Times Higher Education events. As a supervisor, she guides PhD students in Entrepreneurial Ecosystems and Strategy as a Practice. Her grants and projects reflect a commitment to bridging academic research with real-world applications, particularly in fostering creative economies and lifelong learning in the AI era.

David Hildebrandمشاهده پروفایل

استاد

• Philosophy of Technology
• Ethics of Artificial Intelligence
• Pragmatist Philosophy
• +۳ مورد دیگر

David Hildebrand is a Professor of Philosophy at the University of Colorado Denver, affiliated with the College of Liberal Arts and Sciences. His work focuses on the ethical and epistemic implications of emerging technologies, particularly artificial intelligence (AI) and algorithmic systems. He has presented globally, including keynote speeches in Switzerland, Sweden, Finland, and Italy, addressing themes like technology's impact on autonomy, democracy, and education. His research bridges classical pragmatism (Dewey, Borgmann) with contemporary issues, emphasizing how technology shapes human experience, empathy, and democratic values. Recent engagements include teaching philosophy of art and aesthetics at Ca' Foscari University (Venice, Italy) and presenting at the University of Bologna on preserving meaning in an algorithmic age. He co-hosted a campus-wide discussion on AI's future in education at CU Denver. His scholarship spans over two decades, with publications analyzing technology's role in education, art, journalism, and public discourse. Key research areas include AI ethics, data governance, and the preservation of democratic habits in the digital era. He critiques technology's potential to manipulate experience and morality, advocating for pragmatic approaches to ensure ethical technological integration. His work frequently engages with Deweyan praxis, emphasizing inquiry-based solutions to sociotechnical challenges.

Juho Kahilaمشاهده پروفایل

پژوهشگر

• AI Education
• Artificial Intelligence
• Datafication
• +۶ مورد دیگر

Juho Kahila is a Postdoctoral Researcher at the University of Eastern Finland (UEF), affiliated with the School of Applied Educational Science and Teacher Education within the Philosophical Faculty. His research focuses on AI education, children’s gaming behaviors, metagaming, and the societal impacts of datafication. He is actively involved in projects like Generation AI, which explores AI literacy in K-12 education, and DigiErko, investigating digital learning environments. Education: PhD in Education (2022), University of Eastern Finland Research interests include developing pedagogical frameworks for teaching AI concepts, analyzing gaming-related metacognitive activities, and enhancing children’s data literacy through interactive tools. Kahila collaborates on projects such as 'Escape game pedagogy' and 'TOTY', aiming to integrate computational thinking into primary education. His work emphasizes ethical considerations in AI education and the design of no-code platforms for student-created ML applications. Key contributions include studies on gamer rage among youth, typologies of metagamers, and frameworks for cultivating data agency. He has co-authored over 50 peer-reviewed articles, focusing on machine learning pedagogy, serious games, and digital literacy. Kahila leads the 'Did It Get to You?' project (2025–2028), examining gamer rage dynamics, and participates in the EU-funded 'Generation AI' initiative. His research bridges educational technology, child development, and societal data practices, advocating for inclusive AI literacy programs.

• Computer Graphics
• Computer Vision
• Virtual Reality
• +۴ مورد دیگر

Prof. Dr. Fabian DI FIORE is a Lecturer and Research Coordinator at the Department of Computer Science, Faculty of Sciences, Hasselt University. He is affiliated with the Expertise Center for Digital Media (EDM) and leads research in Computer Graphics, Virtual Reality, and Extended Reality (XR). His roles include coordinating research projects and teaching courses such as Operating Systems, Computer Animation & Simulation, and Computer Graphics & Visual Computing. His research focuses on modeling and simulation, computer vision, and digital media applications. Notable projects include XR innovations for manufacturing, digital support for industrial processes, and collaborative virtual environments for education. He coordinates 16 active research projects, emphasizing XR infrastructure and applied technologies in industry and healthcare. Prof. DI FIORE supervises PhD candidates in Extended Reality applications, such as Psychomotor Task Assistance and Training using XR. He is involved in education initiatives like the International interdisciplinary project and the International School program. His work bridges academic research and practical applications, with a focus on innovation in digital media and educational technology. His teaching responsibilities include coordinating courses on operating systems, computer animation, and project management. He is a co-owner of key training components such as Computer Architecture and International interdisciplinary projects, reflecting his dual role in education and research leadership.