جست‌وجوی استاد و پژوهشگر

Zhiqiang Taoمشاهده پروفایل

استادیار

• Machine Learning
• Computer Vision
• Computational Imaging
• +۷ مورد دیگر

Zhiqiang Tao is an Assistant Professor in the School of Information at the Golisano College of Computing and Information Sciences, Rochester Institute of Technology (RIT). Prior to RIT, he served as an Assistant Professor at Santa Clara University (2020–2022). He holds a Ph.D. from Northeastern University (ECE Department) and B.E. and M.E. degrees from Tianjin University. Research Focus: His research group develops smart, scalable, and secure machine learning algorithms for healthcare, AI education, computational imaging, and data science. Key areas include large vision-language models (LVLMs), calibrated uncertainties in low-level vision, ranking fairness, and multimodal understanding. Recent works explore LLM fairness, medical question-answering systems, and diffusion models for text-video retrieval. Awards & Honors: RIT GCCIS Emerging Scholar Award (2025) Teaching: IDAI-780: Capstone Project ISTE-780: Data-Driven Knowledge Discovery Advising & Team: Actively seeking motivated graduate/undergraduate students to join his research group. His team has produced impactful work in NeurIPS, CVPR, ECCV, and IEEE TPAMI/TKDE. Labs & Collaboration: Collaborates across disciplines to advance AI applications in healthcare and education, leveraging computational imaging and fair ML principles.

Tim Höfflerمشاهده پروفایل

پژوهشگر

• Chemistry Education
• Educational Psychology
• Multimedia Learning
• +۴ مورد دیگر

Dr. Tim Höffler is a researcher affiliated with the Kiel University through the Chemistry Didactics Department at the Leibniz Institute for Science and Mathematics Education (IPN). He currently serves as a Data Protection Officer, Research Data Management Officer, and Research Ethics Officer at IPN since 2019, following 10 years as a research assistant in the same department (2008–2018). Educational Background: Doctorate in Psychology (2007), University of Duisburg-Essen Diploma in Psychology (2004), University of Kiel Visiting Scholar at New York University (2005) Research Interests: His work focuses on Chemistry Education and Educational Psychology , particularly Learning with Multimedia , Visualization of Scientific Content , and Talent Development in educational contexts. His publications highlight applications of Instructional Design , Cognitive Load Theory , and Science Communication in preschool and school settings. Publications Trends: Recent studies analyze the impact of visual design on mathematical problem-solving, trust in science among secondary students, and epistemological challenges in qualitative research. These align with IPN’s research lines on subject-specific learning, science communication, and methodological innovation. Professional Experience: After studying psychology at CAU Kiel (1998–2004), he joined the nwu-essen research group (2007–2008) and worked as a Doctoral Fellow at the DFG Research Training Group (2004–2007). His career spans roles in research, data management, and science policy.

• Human-Computer Interaction
• Information Systems
• Artificial Intelligence Ethics
• +۷ مورد دیگر

Keng Siau is a Professor in the Department of Information Systems at City University of Hong Kong. Previously, he held roles at Missouri University of Science and Technology (2012–2021) and University of Nebraska-Lincoln (1996–2012). His PhD is from the University of British Columbia. Siau's research focuses on Human-Computer Interaction (HCI), Information Systems, AI ethics, and business technology integration. He has published over 260 papers and edited multiple conference proceedings. Research interests include generative AI applications in education/metaverse, digital marketing strategies, virtual collaboration, and AI governance. His work explores topics like investor engagement in online platforms, cybersecurity risk communication, and the impact of AI avatars on human interaction. Siau is actively involved in HCI conferences, co-chairing HCIBGO tracks at HCI international conferences since 2023. Recent articles highlight trends in AI-driven marketing, metaverse design frameworks, and ethical considerations in AI systems. He collaborates with institutions globally to advance research in virtual worlds and business analytics. Siau's contributions span theoretical and applied domains, emphasizing practical solutions for organizational agility and digital transformation.

Alok R. Sabooمشاهده پروفایل

استاد

• Marketing Strategy
• Data Analytics in Marketing
• Business-to-Business Marketing
• +۴ مورد دیگر

Dr. Alok R. Saboo is the Taylor E. Little Jr. Professor of Marketing and Director of the Master of Science in Marketing program at the J. Mack Robinson College of Business, Georgia State University. He holds editorial roles at top journals including Journal of Marketing Research , Journal of Marketing , and Production and Operations Management . His research focuses on leveraging data analytics to improve marketing effectiveness, with key areas in mergers/acquisitions, dynamic resource allocation, and innovation strategy. Saboo's work has been published in premier journals such as Marketing Science , Journal of Marketing Research , and Management Information Systems Quarterly . Education: Ph.D., Pennsylvania State University; PGDBM, IMI, New Delhi; B.E., Computer Science, Mumbai University. Research highlights include analyzing IPO outcomes, big data applications for marketing decisions, and frontline employee data utilization. His awards include the 2022 AMA Varadarajan Award and 2023 MSI Scholar recognition. Teaching includes Product and Brand Management at undergrad level and Marketing Management at graduate level, with multiple teaching excellence awards. Office locations: 1339 Downtown Campus and 218 Buckhead Center.

Jayne Bakerمشاهده پروفایل

دانشیار

• Education
• Sociology of Education
• Gender Studies
• +۵ مورد دیگر

Jayne Baker is an Associate Professor and Associate Chair (Academic) in the Sociology Department at the University of Toronto. She specializes in education, gender studies, and the Scholarship of Teaching and Learning (SoTL), focusing on maximizing student engagement, skill development, and sociological thinking. Her research explores hierarchies in Canadian universities, labor market outcomes, and gender disparities in education. She teaches courses such as Introduction to Sociology, Sociology of Education, and Contemporary Issues in Higher Education. Education: Ph.D. in Sociology (University of Toronto) M.A. in Sociology (University of Toronto) B.A. in Sociology (King’s University College at Western University) Research Interests: Prof. Baker’s work bridges teaching and research, emphasizing how pedagogical innovations enhance learning. She investigates gender dynamics in education, including single-gender schooling and labor market inequities linked to alma mater prestige. Her SoTL research addresses ethics in educational research and writing pedagogy integration. Publications: Her recent work includes studies on TikTok masculinities, audit studies of labor markets, and co-authored textbooks like Connecting Sociology , which uses interactive tools to engage students. She has contributed to journals such as Teaching Sociology and Canadian Review of Sociology . Awards: She received the University of Toronto’s Early Career Teaching Award, recognizing her commitment to pedagogical excellence. Teaching & Mentorship: Prof. Baker mentors undergraduate and graduate students, emphasizing sociological inquiry. She coordinates courses like Walls to Bridges: Carceral Seminar and the Peel Social Lab, fostering community-engaged research. Her mentorship model for graduate teaching fellows has been published in Teaching Sociology .

• Multimodal Deep Learning
• Clinical Machine Learning
• Natural Language Processing
• +۳ مورد دیگر

Dr. Ruchit Agrawal is an Assistant Professor of Computer Science and Head of Computer Science Outreach at the University of Birmingham Dubai. Previously, he served as a Postdoctoral Researcher in AI for Healthcare at the University of Oxford’s Computational Health Informatics Lab, and as a Marie Curie AI Researcher in the transnational MIP-Frontiers project at Queen Mary University of London. His work focuses on optimizing healthcare systems using Machine Learning, alongside contributions to Natural Language Processing, Audio Signal Processing, and Multimodal Deep Learning. He holds a PhD in Computer Science from Queen Mary University of London and an MS by Research from IIIT Hyderabad. Education: PhD in Computer Science (Queen Mary University of London, 2021) MS by Research in Machine Translation (IIIT Hyderabad, 2017) Research Interests: Clinical Machine Learning for healthcare system optimization Natural Language Processing with a focus on Indian languages and context-aware models Audio Signal Processing for music performance analysis and stuttering detection Development of multimodal deep learning frameworks for diverse applications Adaptive AI systems leveraging contextual and positional encoding techniques Publications highlight trends in healthcare AI, multilingual NLP, and audio-visual alignment. Recent work includes Arabic sentiment analysis, stuttering detection via MMSD-Net, and stock price prediction using FB-GAN. Earlier contributions address structure-aware synchronization in music performance data and transformer-based post-editing for low-resource languages. His research bridges theoretical advancements with practical implementations in clinical, financial, and cross-modal domains. Scientific awards include the prestigious Marie Skłodowska-Curie scholarship (2017–2020) supporting his deep learning research in audio signal processing. Advising and grants: While no formal advisees are listed, his roles involve leading outreach initiatives and guiding collaborative projects at the Computational Health Informatics Lab during his postdoctoral tenure. Labs/Teams: Active member of the Computational Health Informatics Lab (Oxford) and Machine Translation group at FBK (Italy). His work also intersects with the MIP-Frontiers transnational research project.

• Artificial Intelligence
• Information Systems
• Blockchain Technology
• +۳ مورد دیگر

Oliver Hinz is a prominent researcher in the field of information systems and digital technologies, focusing on areas such as artificial intelligence ethics, blockchain applications, cybersecurity, and digital responsibility. His work bridges technical innovation with societal impact, addressing challenges in corporate governance, healthcare informatics, and user-centric technology design. Research interests: AI governance, blockchain tokenization, digital democracy, and ethical technology adoption Co-authored over 160 publications in leading journals like Information Systems Research and MIS Quarterly Key collaborations with institutions like TU Munich and Tilburg University Recent work emphasizes explainable AI frameworks, disaster management through social media analytics, and the socio-economic implications of digital platforms.

Aodhán Kellyمشاهده پروفایل

مدرس

• Digital Arts and Humanities
• Educational Innovation
• Digital Methods
• +۳ مورد دیگر

Aodhán Kelly is a Lecturer in the Faculty of Social Sciences and Humanities at Vrije Universiteit Amsterdam, specializing in the Art and Culture, History, Antiquity department. He concurrently serves as a Medewerker (staff member) at Maastricht University since 2024. His research focuses on digital humanities, educational innovation, and the societal impact of emerging technologies like AI in education. Key research interests include digital scholarly editing, educational policy analysis, and participatory workshop methodologies. He explores topics such as ChatGPT’s influence on academic communication, digital lab practices in humanities, and inclusive design principles for cultural heritage dissemination. Recent work highlights include analyzing Dutch universities’ responses to AI in education, developing frameworks for educational innovation through complexity leadership, and organizing interdisciplinary workshops on digital humanities practices. His publications bridge theoretical frameworks with practical applications in digital publishing and educational technology. Collaborations span European institutions, emphasizing cultural heritage preservation and digital inclusivity. He contributes to the Cultural Heritage, Identities & Perspectives research project, exploring societal responses to cultural change. Teaching responsibilities include courses on visual analysis, media studies, and research methodologies.

Anna Spagnolliمشاهده پروفایل

استاد

• Usable Privacy
• Technology Acceptability
• Human-Computer Interaction
• +۷ مورد دیگر

Anna Spagnolli is a Full Professor at the University of Padua, specializing in Human-Computer Interaction (HCI), Usable Privacy, and Technology-Mediated Interaction. Her research focuses on ethical AI, IoT systems, virtual reality (VR) applications in prosocial behavior, and digital health assistants. She has led projects like SAFE GYMS (IoT for safety in sports/work environments) and DOMHO (IoT for co-housing). Her work bridges technology design with user needs, emphasizing transparency, accessibility, and ethical considerations. Research Interests: Usable Privacy and Security AI Ethics and User-Centered Design Virtual Reality for Behavioral Training IoT in Healthcare and Safety Qualitative Methods in HCI Key Contributions: Developed frameworks for transparency in healthcare AI and digital assistants. Explored prosocial behavior through VR simulations of emergencies. Designed inclusive mobile apps (e.g., SAFE TALK) for social support during isolation. Her publications span over two decades, addressing topics from sustainable technology to workplace ergonomics with collaborative robots. Despite no listed awards, her extensive academic output reflects significant influence in HCI and technology ethics.

Cunjian Chenمشاهده پروفایل

عضو هیئت علمی

• Computer Vision
• Deep Learning
• Medical Imaging
• +۴ مورد دیگر

Cunjian Chen is an Adjunct Lecturer at the Department of Data Science & AI, Monash University, and a Research Fellow at Monash University Suzhou. He holds a PhD in Computer Science from West Virginia University and serves as an Associate Editor for journals like Neural Processing Letters and IET Image Processing. His research focuses on computer vision, deep learning, adversarial machine learning, and cross-spectral biometric systems. Notable contributions include advancements in thermal-to-visible face recognition, medical image segmentation, and robust adversarial defense mechanisms. Dr. Chen has received the Outstanding Area Chairs award at ICME 2021. He actively contributes to academic governance roles, including Tutorial Chair for IJCB and Area Chair for ICME, ICIP, ICASSP, IJCNN, and FG. He is currently accepting PhD and research assistant students in computer vision and deep learning, emphasizing innovative applications in security and healthcare. His research collaborations span global institutions, with recent work addressing challenges in cross-spectral imaging, medical AI, and adversarial robustness. Professional activities include patent engagements with the Monash Suzhou Research Institute. For further details, visit his personal website or Google Scholar profile .

Abdul-Rahman Mawlood-Yunisمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Android Mobile Application Development
• Software Engineering
• +۸ مورد دیگر

Abdul-Rahman Mawlood-Yunis is an Associate Professor in the Department of Physics and Computer Science at Wilfrid Laurier University. His research focuses on Artificial Intelligence, Android Mobile Application Development, Software Engineering, Distributed Systems, and P2P Networking with an emphasis on fault-tolerant systems and semantic web technologies. He has contributed to frameworks for live streaming apps and machine learning algorithms for feature selection. Research interests include: Chatbots and Natural Language Processing (NLP) Ontology engineering and knowledge representation Algorithm design for distributed systems Mobile agent performance analysis Fault-tolerant semantic P2P networks His recent work (2022-2024) emphasizes machine learning applications in feature selection and real estate price estimation, reflecting a shift towards data-driven solutions. Earlier contributions (2003-2013) explored foundational aspects of mobile agents and semantic interoperability in P2P networks. Teaching responsibilities include courses on Android development and Java programming, with associated open-source materials and courseware. His book Android for Java Programmers provides foundational resources for students and instructors. Languages spoken: English, Kurdish, Arabic, Farsi.

Lan Wangمشاهده پروفایل

استاد

• Internet Architecture
• Network Security
• Wireless Sensor Networks
• +۷ مورد دیگر

Lan Wang is a Professor in the Department of Computer Science at the University of Memphis, temporarily assigned as a Program Director at the NSF. She holds a PhD in Computer Science from UCLA (2004). Her research focuses on Internet architecture, network security, and wireless sensor networks, with major grants from NSF, NIST, and DoD, including a $15M NSF-funded 'Named Data Networking' project. She has served as Department Chair (2016-2023) and is an IEEE Senior Member. Dr. Wang's research emphasizes scalable, reliable, and secure Internet infrastructure. She has pioneered advancements in named-data networking (NDN), including protocols for adaptive forwarding, secure access control, and efficient traffic management. Her work extends to applications in smart cities, public safety, and healthcare data sharing. She has received prestigious awards including the Willard R. Sparks Eminent Faculty Award (2022) and Dunavant Professorship (2021). Her teaching spans courses like Networking and Information Assurance, Advanced Computer Networks, and Wireless and Mobile Computing. She actively promotes gender diversity in CS, co-organizing events like the 'Networking Networking Women' panel at SIGCOMM. Her grants total over $15M, including NSF’s NDN project and university-funded initiatives. She advises the Women in Computing student chapter and has served on over 50 conference committees.

Dominique Brossardمشاهده پروفایل

استاد

• Science Communication
• Media Studies
• Public Opinion Dynamics
• +۵ مورد دیگر

Dominique Brossard is a Professor & Chair in the Department of Life Sciences Communication at the University of Wisconsin-Madison. She holds affiliations with the Robert & Jean Holtz Center for Science and Technology Studies, the Energy Institute, the Global Health Institute, and the Nelson Institute for Environmental Studies. Her work focuses on the intersection of science, media, and policy, particularly addressing public opinion dynamics and cross-cultural analysis of controversial scientific issues. She earned an M.S. in Plant Biotechnology from the Ecole Nationale d’Agronomie de Toulouse and advanced degrees (M.P.S. and Ph.D.) in Communication from Cornell University. Her career includes roles at Accenture and the Agricultural Biotechnology Support Project II, blending corporate strategy with science communication. Brossard’s research emphasizes strategic communication theory, science communication, and risk communication. Her lab, the Science Communication Incubator, explores how societal values shape public attitudes toward emerging technologies like AI and gene editing. She has authored over 100 articles in top journals and served on National Academy of Sciences panels. Notable professional roles include Chair of the NSF’s Social, Behavioral and Economic Sciences Advisory Committee, and current positions on the NASEM Societal Experts Action Network and the Division of Behavioral & Social Sciences & Education. Her awards include Fellowships from the American Association for the Advancement of Science and the International Communication Association. Her recent work examines AI ethics, generative AI’s societal impact, and the role of visual art in science communication. She also investigates how misinformation spreads during crises like the pandemic and the evolving landscape of public trust in science.

• Data Visualization
• Machine Learning
• Neural Networks
• +۵ مورد دیگر

Professor Masa Takatsuka is a faculty member in the School of Computer Science at The University of Sydney, holding the rank of Professor. He serves as Associate Head of School (Postgraduate). His research focuses on data visualization, machine learning, and human-computer interaction, with notable contributions in spectral clustering, neural networks, and collaborative systems. He teaches courses such as COMP5048 Visual Analytics, COMP5116 Design of Networks & Distributed Systems, and others. Research interests include: Data visualization techniques (e.g., SOM-based methods) Graph neural networks and spectral clustering algorithms Interactive systems for large displays and collaborative environments Geospatial analysis and visualization tools like GeoVISTA Studio Recent publications span topics like random projection forests in graph convolutional networks (2023), topology-aware clustering (2018), and crowd-powered evaluation visualization (2017). His work emphasizes practical applications in domains like medical data analysis and social media sentiment exploration. He has secured grants including ARC Linkage Projects (2011, 2010) and industry partnerships. Current research students include Michael ASHSHIDDIQ PODBURY working on topological clustering methods. Labs/teams: Collaborations involve UnderworldGUI (geodynamic modeling tools) and projects leveraging self-organizing maps (SOM) for multidimensional data analysis.

• Science Communication
• Public Policy and Outreach
• Science and Ethics
• +۴ مورد دیگر

Dr. Rod Lamberts is Associate Director of Science and Education at the Australian National Centre for the Public Awareness of Science (CPAS) at ANU. He holds a BA (Hons), Grad Dip App Psych, and PhD from ANU. His work spans over 20 years in science communication, including designing pioneering university courses and advising agencies like CSIRO and UNESCO. He is a frequent media commentator on science policy, appearing on ABC Radio and in publications like The Conversation . Lamberts' research focuses on science communication, public policy, ethics, and risk perception. He has led major projects like the Australian Beliefs and Attitudes Towards Science Survey and the Engaging Visions initiative, which integrates art and environmental science. His awards include the ANU Vice-Chancellor's Award for Public Policy (2015) and multiple Top Supervisor accolades. He has supervised over 40 research students across PhD, MPhil, and Honours levels. Notable grants include an ARC Linkage grant (2006–2011) for natural resource management. Lamberts has presented at global conferences, chaired national committees, and contributed to UNESCO's science communication frameworks in the Pacific.