جست‌وجوی استاد و پژوهشگر

Jeremy Sillsمشاهده پروفایل

عضو هیئت علمی

• Secondary to university transition mismatch
• Teaching methods in first-year STEM
• Computer science curriculum development
• +۳ مورد دیگر

Jeremy Sills is a Senior Lecturer Emeritus in the Mathematical and Computational Sciences department at the University of Toronto Mississauga (UTM). He holds a B.A. from the University of Waterloo, B.Ed. from University of Toronto, and M.Ed. from Queen's University. His research focuses on educational transitions, STEM teaching methods, and computer science curriculum design. He has taught courses like CSC 301 (Software Engineering), CSC 104 (Computing Fundamentals), and CSC 300 (Computers & Society). Contact: CCT3077, Erindale College, or via email. Teaching roles span UTM, Ryerson, Sheridan, and Toronto District Board Experience in theatre production, film, and computer programming Active in course development for software engineering and computing education

• Decision making
• Knowledge engineering
• Knowledge graphs
• +۳ مورد دیگر

Marie-Hélène Abel is a Professor and Director of the Computer Science Department at the University of Technology of Compiègne (UTC), France. She leads the Heudiasyc laboratory (UMR CNRS 7253) and specializes in decision making, knowledge engineering, knowledge graphs, and multi-agent systems. Her work focuses on collaborative systems, organizational learning, and the integration of social data into decision support frameworks. She has been recognized with prestigious awards, including Senior IEEE membership (2017) and the 2017 K2 Trophy for participatory computing innovations. Her research emphasizes the development of systems like the MEMORAe platform, which supports learning ecosystems through collaborative environments and organizational memory. She collaborates internationally with institutions such as the Pontifical Catholic University of Paraná (Brazil) and industry partners including Thales, Alstom Transport, and PSA. Key projects include crisis simulation systems and ontology-based frameworks for Industry 4.0 collaboration. Abel’s academic contributions span over 50 peer-reviewed articles, with recent works addressing context-aware recommender systems, crisis management simulations, and teacher efficacy in digital education. Her leadership roles include directing research projects, overseeing the Computer Engineering Department, and advancing ethical AI practices through initiatives like the Sorbonne.AI network. Education: HDR (Habilitation à Diriger des Recherches) on 'Contribution of Organizational Memories in a Learning Context' (2007) Administrative Roles: Equality Officer, University Antiracism/Anti-Semitism Officer International Collaborations: Brazil, Egypt, and Tunisia

• Human-Computer Interaction
• Cybersecurity
• Privacy and Ethics in Technology
• +۵ مورد دیگر

Leah Zhang-Kennedy is an Assistant Professor at the Stratford School of Interaction Design and Business, University of Waterloo. She holds a cross-appointment in Faculty roles, focusing on interdisciplinary research at the intersection of technology, ethics, and human behavior. Her research explores privacy implications in emerging technologies like AI, IoT, and extended reality (XR), with a focus on deceptive design patterns, cybersecurity education, and cryptocurrency user behavior. Key themes include ethical responsibility in AI failures, user perceptions of smart home devices, and mitigating privacy harms through storytelling and design interventions. Zhang-Kennedy’s work spans over a decade, with publications analyzing deceptive game mechanics, VR privacy risks, and children’s online privacy education. Her projects often involve collaborative development of educational tools such as interactive comics and visualizations to enhance public understanding of security and privacy concepts. While no specific grants or awards are listed, her contributions highlight innovative approaches to addressing technology’s societal impacts through both critical analysis and practical design solutions.

Benjamin C. M. Fungمشاهده پروفایل

استاد

• Data Mining
• Artificial Intelligence
• Cybersecurity
• +۶ مورد دیگر

Benjamin C. M. Fung is a Full Professor at McGill University's School of Information Studies and holds the Canada Research Chair in Data Mining for Cybersecurity. He is also an Associate Member at the School of Computer Science and affiliated with MILA and the McGill Digital Humanities Initiatives. His research focuses on data mining, AI, cybersecurity, privacy protection, and their applications in crime investigation, health informatics, and smart cities. Education: Ph.D. in Computing Science, Simon Fraser University (2007) M.Sc. and B.Sc. in Computing Science, Simon Fraser University Professional Engineer (P.Eng.) in Software Engineering, Ontario Research Interests: Data mining techniques for cybersecurity, AI ethics, privacy-preserving technologies, malware analysis, and foreign interference detection. His work has been supported by NSERC, SSHRC, DRDC, and FRQNT. Key Contributions: Developed the Kam1n0 tool for malware analysis, featured in Montreal's technological innovations. Co-founded the McGill Data Mining and Security (DMaS) Lab. Authored over 180 refereed publications with an h-index of 62. Awards & Recognition: 2022 IEEE CSR Best Research Paper Award ACM & IEEE Senior Member (2013) Top 2% Global Scientists (2021–present) Media & Public Engagement: Frequently comments on cybersecurity, disinformation, and foreign interference for CBC, CBC Radio, OMNI TV, and international outlets. His op-eds address topics like AI ethics and national security.

Timo Speithمشاهده پروفایل

مدرس

• Machine Ethics
• Machine Explainability
• Artificial Intelligence
• +۲ مورد دیگر

Dr. Timo Speith is a fixed-term Lecturer at the University of Bayreuth's Faculty of Cultural Studies, affiliated with the Professorship for Philosophy, Computer Science and Artificial Intelligence. He holds a B.A. in Philosophy and M.Sc. in Computer Science from Saarland University, where he also completed his doctoral studies in Philosophy. His research focuses on machine ethics, machine explainability (XAI), and non-speculative AI systems, alongside interests in ancient philosophy and the philosophy of science. He has contributed to interdisciplinary work on XAI evaluation methods, fairness in AI systems, and explainable hardware (XHW). Speith has organized workshops on explainable systems requirements engineering and co-authored a manifesto outlining XAI 2.0 challenges. His work bridges philosophy, computer science, and ethics to address AI transparency and accountability. Education: B.A. Philosophy, Saarland University M.Sc. Computer Science, Saarland University Ph.D. in Philosophy, Saarland University (2023 dissertation) Research Interests: Machine Ethics, XAI Methodology, AI Transparency, Philosophy of Science, Ancient Philosophy. Grants and Collaborations: Active in international workshops (e.g., RE4ES), IEEE conferences, and collaborations with institutions like Saarland University and the University of Bayreuth's Philosophy Institute. His work addresses practical and theoretical challenges in AI explainability across hardware and software systems. Lab/Team Affiliation: Associated with the Philosophy, Computer Science, and Artificial Intelligence research group at the University of Bayreuth, focusing on interdisciplinary AI ethics and technical implementation.

Steven Eppingerمشاهده پروفایل

استاد

• Product Design and Development
• Complex Technical Project Management
• Agile Software Development
• +۵ مورد دیگر

Steven Eppinger is a Professor of Management Science and Innovation at the MIT Sloan School of Management, holding the General Motors Leaders for Global Operations Chair. He focuses on interdisciplinary education and research in product design, systems engineering, and agile methodologies. His work bridges engineering and management, emphasizing complex project management and innovation processes. Educated at MIT (SB, SM, ScD in Mechanical Engineering), he has led major programs like SDM, IDM, LGO, and LFM. He co-authored Product Design and Development (7th/8th editions) and pioneered the Design Structure Matrix (DSM) methods. His research applies agile practices beyond software to hardware and systems engineering. He has received numerous awards, including the PICMET Medal of Excellence and POMS Distinguished Fellow. His executive courses cover systematic innovation and managing technical projects using DSM and agile frameworks. He co-directed the Center for Innovation in Product Development and served as Deputy Dean of MIT Sloan.

Eva-Maria Schönمشاهده پروفایل

استاد

• Agile Methodologies
• Requirements Engineering
• eGovernment
• +۴ مورد دیگر

Prof. Eva-Maria Schön is a Professor of Business Informatics at the University of Applied Sciences Emden/Leer, where she has held this position since 2022. Previously, she was a Professor at the Hamburg University of Applied Sciences (HAW Hamburg). She earned her PhD in Computer Science from the University of Seville, Spain, in 2017. Her research focuses on Agile methodologies, including their application in public administration (eGovernment), requirements engineering, and digital transformation. She emphasizes integrating human-centered design principles into agile processes and has extensive practical experience in developing digital products and training organizations. Her research interests span agile product development, UX design, and the challenges of fostering agile cultures in both private and public sectors. Notable areas include agile transformation in governmental institutions, agile pedagogical approaches in higher education, and leveraging AI in educational contexts. She has also contributed to frameworks like the NICO initiative, which addresses software quality assurance. Prof. Schön’s work bridges academia and industry, with publications addressing topics such as lean user research, cultural barriers to agile adoption, and the role of trust in organizational agility. Her contributions include developing methodologies for requirement engineering patterns and evaluating project work in e-government initiatives. Advising and Grants: While no formal advisees are listed, her research projects likely involve student and professional collaborations. She has been involved in initiatives like the NICO project (PID2019-105455GB-C31). Her academic network includes ResearchGate and Google Scholar profiles, highlighting her active engagement in collaborative research. Labs/Teams: Affiliated with the University’s research groups focusing on digital transformation and agile practices, though specific lab names are not detailed in the provided texts.

Petra Sauerمشاهده پروفایل

استاد

• Database Systems
• Geodatabases
• Semantic Web Technologies
• +۵ مورد دیگر

Prof. Petra Sauer is a Professor of Computer Science and currently serves as Dean of the Department of Computer Science and Media at BHT Berlin. She leads research in database systems, geospatial technologies, and educational data analytics. Her work bridges academic research with practical applications in facility management, urban logistics, and e-learning platforms. Key projects include DiSEA (education analytics), ExCELL (mobility data integration), and BIM-FM (building lifecycle management). Research interests focus on: Database design & schema evolution Semantic web applications Geodatabase implementations Learning analytics in MOODLE environments Notable awards include the Tiburtius Prize (Gold 2008 for Marc-Florian Wendland's thesis, Bronze 2009 for Marco Blankenburg's thesis). Active supervision spans over 15 advisees across data science, database security, and semantic integration topics. Current courses include 'Database Systems' for Media Informatics students. Key projects: DiSEA: Moodle-based learning analytics framework ExCELL: Real-time traffic forecasting platform mVIZ: Open data visualization guidelines BIM-FM: Semantic integration of building models

Scott Thompson-Whitesideمشاهده پروفایل

استاد

• Human-centered Design
• Machine Learning
• EEG Data
• +۶ مورد دیگر

Scott Thompson-Whiteside is a Professor and Executive Dean at Torrens University Australia's School of Design and Creative Technology. With a career spanning over two decades, he contributes to research in human-centered design , machine learning , and sustainable transportation . His work bridges design innovation with technological solutions, particularly in electric bus systems and deepfake detection. Key Research Areas : Human-centered design, EEG data analysis, Industry 4.0, drone technology, design education Recent Research Trends (2022-2025): Machine learning in neurological disorder detection (e.g., epilepsy via EEG graphs) Deepfake detection techniques Design-led sustainable public transport systems in Malaysia Ethical frameworks for drone vision applications Industry 4.0 adoption challenges in creative sectors Academic standards in transnational education Academic Leadership : As Executive Dean, he actively supervises PhD students and influences higher education policy. His teaching innovations focus on design thinking and internationalization of curricula.

Richard Joseph Sutcliffeمشاهده پروفایل

استاد

• Discrete Mathematics
• Combinatorics
• Graph Theory
• +۳ مورد دیگر

Richard Joseph Sutcliffe is a Professor of Mathematics and Computing Science at Trinity Western University (TWU), where he has served for four decades. He has taught over 45 distinct courses and held multiple administrative roles, including Assistant/Associate Dean of Science, Acting/Interim Dean of Science, and Chair of Mathematical Sciences. His expertise spans discrete mathematics, combinatorics, graph theory, programming languages, and the ethical implications of technology. He is also a published novelist and columnist, with notable awards in science fiction writing. Education: MSc in Computing Science (Simon Fraser University) BSc PDP (Trinity Western University) Research Interests: Combines theoretical computer science with practical applications, focusing on secure and reliable systems design. Explores ethical dimensions of technology adoption, particularly in programming languages and standards. His novels critically examine societal impacts of technological advancements. Awards: 2003: Best Electronically Published Science Fiction Novel 2003: Runner-up for Best Electronically Published Science Fiction Novel Professional Activity: Serves on ACM, CSA, and IEEE (life member). Columns appear in The Northern Spy and syndicated tech platforms. Active in academic accreditation and science policy via Canadian Council of Deans of Science. Owns Arjay Enterprises for consulting and web services.

Andrew Begelمشاهده پروفایل

دانشیار

• Human-Computer Interaction (HCI)
• Neurodiversity
• Accessibility
• +۷ مورد دیگر

Andrew Begel is an Associate Professor in the Software and Societal Systems Department (S3D) at Carnegie Mellon University's School of Computer Science. He is also affiliated with the Human-Computer Interaction Institute (HCII) at CMU and holds an Affiliate Professor position at the University of Washington's Information School. Previously, he spent 16 years as a Principal Researcher at Microsoft Research, focusing on software engineering and human-computer interaction. Education: Ph.D. in Computer Science, University of California, Berkeley (2005), advised by Susan L. Graham M.Eng. in Electrical Engineering and Computer Science, MIT (1997), advised by Mitchel Resnick B.S. in Computer Science and Engineering, MIT (1996), advised by Mitchel Resnick Research Focus: His work centers on creating inclusive workplaces for neurodivergent individuals and people with disabilities. Current projects include: AI tools for real-time communication support between autistic/non-autistic individuals Neurodiversity-aware educational programs (e.g., game coding camps for autistic students) VR training for neurotypical allies to understand sensory challenges faced by autistic colleagues Adaptive coding instruction for neurodivergent learners Awards & Recognition: ACM Distinguished Member (2019) National Merit Scholarship (1992) Leo V. Dustman Award in Mathematics Advising & Labs: Runs the VariAbility Lab at CMU Currently advising Jiwoong (Joon) Jang and Darren (Ren) Butler Key Contributions: Pioneered programming-by-voice systems for developers with disabilities Developed collaboration tools like Deep Intellisense and StarLogo for inclusive education Advocated for neurodiversity inclusion in software engineering workplaces

• Pervasive Computing
• Wireless Sensor Networks
• Healthcare Informatics
• +۳ مورد دیگر

John Herbert is a Senior Lecturer in Computer Science at University College Cork (UCC), Ireland. His research focuses on pervasive computing, wireless sensor networks, and healthcare informatics, with notable projects like the CARA framework for falls assessment in the elderly. He holds a PhD in Computer Science from Cambridge University and has held visiting roles at institutions including SRI International and the University of Cambridge. Education: BSc (Experimental Physics), MSc (Experimental Physics), Postgraduate Diploma (Computer Science) from UCC; PhD (Computer Science) from Cambridge University. Research Grants: Led projects funded by Science Foundation Ireland (€163,726) and the Irish Research Council (€71,250), focusing on cloud computing and healthcare applications. His work emphasizes context-aware systems, data quality in medical environments, and real-time analysis. Selected awards include an International Fellowship from Digital Systems Research Center (1989) and visiting fellowships at Cambridge (2008-2009). Teaching: Courses include Advanced Software Engineering, Formal Methods, and Model-Based Software Development. Outreach: Advisor to award-winning student teams (e.g., IEEE mobile app contest) and collaborator with industry partners in China and Europe.

• Digital Innovation
• Crowdsourcing
• Data-Driven Decision-Making
• +۳ مورد دیگر

Michael Zaggl is a Full Professor at NEOMA Business School, specializing in Strategy & Entrepreneurship. He holds a Habilitation from TU Munich, a PhD from TU Hamburg, and degrees from the University of Koblenz. Previously, he served in tenured roles at Aarhus University and held visiting positions at Harvard, USC, and other institutions. His research focuses on digital innovation, crowdsourcing, and data-driven decision-making, with publications in top journals like Strategic Management Journal and Academy of Management Discoveries . He is an active member of professional organizations such as the Academy of Management and Association for Information Systems. Educations: Habilitation (TU Munich), PhD (TU Hamburg), Master's & Bachelor's (University of Koblenz). His research interests span digital innovation , crowdsourcing mechanisms , and open-source governance , with notable contributions to understanding distributed strategic search and organizational decision-making. Recent work examines crowdfunding dynamics , AI-human collaboration , and privacy calculus in mHealth . His articles analyze topics like crowd wisdom optimization and hierarchical biases in idea evaluation , reflecting a focus on practical applications for organizations. He has presented at leading conferences, including the Academy of Management and Hawaii International Conference on System Sciences.

• Recommender Systems
• Context-aware Recommendation
• Explainable AI
• +۵ مورد دیگر

Markus Zanker is a Professor in the Department of Knowledge Engineering within the Faculty of Computer Science at Free University of Bozen-Bolzano, Italy. With an extensive publication record spanning over two decades, he has established himself as a leading expert in recommender systems research, with particular expertise in context-aware, group, and knowledge-based recommendation approaches. His work bridges theoretical foundations with practical applications across diverse domains including tourism, healthcare, and e-commerce. Zanker's research interests center on advancing the theoretical underpinnings of recommender systems while addressing practical challenges in real-world deployments. His recent work has focused on causal decision-making frameworks for recommendation, intent-aware systems, and the integration of generative AI in group recommendation scenarios. He has made significant contributions to explainable recommendation systems, medical recommendation applications, and tourism recommendation systems, demonstrating both theoretical rigor and practical impact. His recent publication portfolio reveals a strong trend toward addressing fundamental challenges in recommendation science, including the growing emphasis on causal reasoning to move beyond correlation-based approaches, the integration of generative AI capabilities for more sophisticated group decision support, and the development of frameworks for ethical and socially beneficial recommendation systems. His work increasingly bridges the gap between traditional recommendation algorithms and emerging AI paradigms while maintaining focus on real-world applicability. Zanker is actively involved in the academic community as a workshop organizer, having co-chaired the Knowledge-aware and Conversational Recommender Systems (KaRS) workshop and the Recommenders in Tourism (RecTour) workshop for multiple consecutive years at major conferences including RecSys. His research has been supported through collaborations with numerous international researchers and institutions, focusing on both theoretical advances and practical implementations of recommendation technology across multiple application domains.

Wynne Chinمشاهده پروفایل

استاد

• Information Systems
• Structural Equation Modeling
• Technology Acceptance
• +۵ مورد دیگر

Wynne Chin is a Professor of Decision & Information Sciences at the C.T. Bauer College of Business, University of Houston. He holds a Ph.D. from the University of Michigan, MBA from the University of Michigan, and degrees from Northwestern University and UC Berkeley. His research focuses on IT adoption, structural equation modeling (SEM), and predictive analytics. He developed the PLS-Graph software, widely used in PLS-based SEM, and has contributed to cross-cultural analysis of IT sourcing and workplace assessment. Education: Ph.D. (Computers & Information Systems, U. Michigan), M.S. (Chemical Engineering, Northwestern), MBA (U. Michigan), B.S. (Biophysics, UC Berkeley). Research interests include IT decision-making, end-user satisfaction, group process measures, and methodological innovations in SEM. He has been recognized globally, ranking 3rd in first-authored articles in MISQ/ISR. Awards include the AIS Fellow, Esther Farfel Award, and AIS Technology Legacy Award. His work bridges IS and statistics, influencing both academic and applied fields. His articles emphasize technology acceptance models, causal modeling, and PLS techniques. Grants and advising contributions are significant but not explicitly detailed here. He has held visiting roles at institutions like the Australian School of Business and is a leader in the PLS research community.