جست‌وجوی استاد و پژوهشگر

Jason Lutherمشاهده پروفایل

دانشیار

• DIY Culture
• Sound Writing
• Sonic Rhetoric
• +۳ مورد دیگر

Jason Luther is an Associate Professor in the Department of Writing Arts at Rowan University's Ric Edelman College of Communication & Creative Arts. His research focuses on DIY culture, sound writing, and media literacy, with a particular emphasis on public writing and participatory media practices. He teaches courses such as Methods of Analysis in Writing, Writing, Research, and Technology, and Self-Publishing. Jason holds a B.A. and B.S. from SUNY Fredonia, an M.A. from the University of Nevada, Reno, and a Ph.D. from Syracuse University. His work has been published in journals like Literacy in Composition Studies , enculturation , and Community Literacy Journal , and he has co-edited special issues on self-publishing and DIY composition. Grants & Fellowships: RCRL Summer Teaching Fellowship (2023) Winterthur Research Grant (2021) RCIE Faculty Fellowship (2019) His research explores intersections between digital media, sound studies, and pedagogy. Recent projects include studies on pandemic-era publishing practices and the rhetoric of sound archives. He frequently presents at national conferences and advocates for innovative approaches to writing and technology.

• Artificial Intelligence
• Internet of Things
• Computer Vision
• +۴ مورد دیگر

Miloš Dobrojević serves as a Professor at Singidunum University's Faculty of Informatics and Computing in Belgrade, Serbia. His academic foundation includes doctoral, postgraduate, and bachelor studies at the University of Belgrade's Faculty of Mechanical Engineering. His research spans Artificial Intelligence , Internet of Things , and Computer Vision with emphasis on practical applications. Key focus areas include metaheuristic optimization of neural networks for tasks like crop yield prediction, medical diagnostics, and cybersecurity. Recent work demonstrates strong industry relevance in precision agriculture, drone detection systems, and sustainable homestead automation. Analysis of his 15 most recent publications reveals a consistent pattern of applying modified metaheuristics to enhance deep learning models across diverse domains. His work bridges theoretical AI advancements with real-world implementations in agriculture, healthcare, and energy systems. Scientific Contributions: Author of 3 textbooks including 'Veb informacioni sistemi' (2024) and 'Veb programiranje' (2021) Published 40+ journal/conference papers between 2003-2025 Active contributor to Springer book chapters on AI applications Dobrojević's work demonstrates strong practical orientation with projects in Serbian renewable energy transition, flood prevention systems, and municipal e-government solutions. His recent collaborations with researchers like N. Bacanin and M. Zivkovic show consistent output in high-impact journals. Current projects focus on generative AI for medical data and computer vision for agricultural optimization. His laboratory work centers on IoT-based monitoring systems for environmental applications, particularly water management in mountainous regions. Ongoing research explores drone detection networks and waste classification systems using advanced computer vision techniques.

• Customer Relationship Management
• Social Media Analytics
• Marketing Technology
• +۳ مورد دیگر

David A. Schweidel is a Professor of Marketing at Emory University’s Goizueta Business School. With a background in mathematics, statistics, and marketing, he has held faculty positions at the University of Wisconsin-Madison and Georgetown University. His expertise spans customer relationship management, social media analytics, and data-driven marketing strategy. Ph.D. in Marketing – University of Pennsylvania M.A. in Statistics – University of Pennsylvania B.A. in Mathematics – University of Pennsylvania His research focuses on statistical modeling of customer behavior, with applications in social media analytics, political marketing, and consumer data utilization. He has consulted for companies like EBay and General Motors, and authored books on social media intelligence and data economy applications in business. His recent publications explore topics like political social media communication, blockchain marketing integration, and generative AI applications. Articles examine consumer privacy trade-offs, customer acquisition modeling, and the role of user-generated content in hybrid marketing environments. Recipient of Gaumnitz Junior Faculty Research Award Marketing Science Institute Buzzell Award winner Recognized in Marketing Science Institute Young Scholar program Included in Poets and Quant’s Top 40 Under 40 His work bridges academic research with practical marketing applications, particularly in digital environments and data analytics.

• Computer Engineering
• Augmented Reality
• Virtual Reality
• +۷ مورد دیگر

Karthik Ramani is the Donald W. Feddersen Distinguished Professor in Mechanical Engineering and Professor of Electrical and Computer Engineering at Purdue University. He holds dual appointments in the Elmore Family School of Electrical and Computer Engineering and the Department of Mechanical Engineering within the College of Engineering. His research focuses on advanced topics in augmented reality (AR), virtual reality (VR), human-computer interaction, artificial intelligence, and robotics, with emphasis on tangible user interfaces, design automation, and immersive learning technologies. His work bridges theory and application, addressing challenges in interactive systems, IoT education, and embodied AI. Key research areas include AR/VR platform development, generative AI for design, and systems enabling bidirectional interaction between digital and physical objects. His contributions span technical innovations like the DuNN method for solving partial differential equations, the pARametric tool for parametric modeling, and collaborative AR platforms for educational and industrial use. He has authored numerous patents and articles on topics ranging from hand-object interaction to large language model visualization. Ramani’s work emphasizes practical applications in fields like manufacturing education, IoT skill development, and immersive training. His systems address challenges such as real-time AR binding with physical toys, causal reasoning visualization in mixed reality, and human-robot collaborative task authoring. His research often integrates hardware innovation with software solutions, as seen in flexible touch sensing systems and stretch-based interaction methods for wearable devices.

• Robotics
• Human-Robot Interaction
• Control Systems
• +۵ مورد دیگر

Brandon J. DeHart is an Adjunct Assistant Professor at the University of Waterloo. He is affiliated with the university's academic faculty and can be contacted at brandon.dehart@uwaterloo.ca or at location E5 3108. His research focuses on robotics, particularly humanoid robots, control systems, and roboethics. He has contributed to advancements in dynamic balance, gait metrics, and human-robot interaction. His work spans topics like legged mechanism design, sensor networks in art installations, and automated content generation systems. His research interests include the development of humanoid robots capable of child-friendly interactions, robust control strategies for uncertain environments, and ethical considerations in robotic design. He has explored technical challenges like foot placement estimators for balance recovery and momentum-based gait generation in bipedal systems. Notable contributions include methodologies for tracking visitor engagement in large art installations and frameworks for interconnecting cellular automata across hardware and software. His publications reflect a blend of robotics engineering, AI applications, and interdisciplinary approaches to technology design.

Selma Kadic-Maglajlicمشاهده پروفایل

دانشیار

• Dark-Side Behavior in B2B Sales Relationships
• Dark Side of Customer Behavior
• Social Media Analytics
• +۳ مورد دیگر

Selma Kadic-Maglajlic is an Associate Professor of Marketing at Copenhagen Business School (CBS) , where she also serves as an Associate Editor for Special Issues at Industrial Marketing Management . She holds a visiting professorship at Católica Porto Business School and has taught at institutions including the University of Ljubljana and Vienna University of Economics and Business. Dr. Kadic-Maglajlic earned her Ph.D. from the University of Ljubljana in 2013, with her dissertation recognized by the Institute for Market-Oriented Management at the University of Mannheim. Her research focuses on the dark side of human behavior in B2B sales , including ethical issues, customer incivility, and xenophobia's impact on service sabotage. She also explores social media analytics and strategic marketing decisions. Her work has been published in top journals like Journal of Business Ethics and British Journal of Management , and she has secured multiple national/international grants. Dr. Kadic-Maglajlic is a co-chair of CBS's B2B Marketing Research Cluster and serves on advisory boards for Includovate and Rootically . She has consulted for organizations including USAID Diaspora Invest and UN Women. Her teaching includes courses on professional selling and international marketing, with supervision topics covering AI in sales management and ethical sales team culture. Her recent articles analyze sales-service ambidexterity, anti-vaccination sentiment on social media, and xenophobia's role in tourism management. She actively collaborates on projects addressing global business challenges and the care economy in post-conflict regions like Bosnia and Herzegovina.

• Data Science
• Artificial Intelligence Explainability
• Web Science
• +۵ مورد دیگر

Marco Brambilla is a Professor at Politecnico di Milano and a Lecturer at Università della Svizzera italiana (USI) . He leads the Data Science Lab at Politecnico di Milano's Department of Electronics, Information and Bioengineering (DEIB) and serves as director of Computer Science and Engineering B.Sc. and M.Sc. curricula . Research focus on data science, AI explainability, web science, crowdsourcing, model-driven development, and social media analytics Co-inventor of the OMG IFML standard and holder of 2 patents on crowdsourcing and multi-domain search Founder of four startups: WebRatio, Fluxedo, Servitly, and Quantia His recent publications explore: Graph-based Retrieval Augmented Generation for energy efficiency Human-AI interaction analysis through live streaming platforms Model-driven approaches for multiexperience AI interfaces Explainable AI with human-in-the-loop validation Scientific contributions include: Best paper awards at international conferences Associate editor role at SIGMOD Records Editorial contributions to the PERISCOPE H2020 project on pandemic impacts He actively participates in European research initiatives such as: TRIGGER project on EU global governance PERISCOPE for pandemic preparedness

• Human-Computer Interaction (HCI)
• Human-AI Interaction
• Information Visualization
• +۴ مورد دیگر

Professor Damien Masson is an Assistant Professor in Human-Computer Interaction (HCI) at the Université de Montréal , affiliated with Mila and IVADO . He leads the Montréal HCI group and focuses on interactive systems for AI, document interaction, and software learning. His research bridges HCI principles with AI to enhance user experience in complex applications. Education : PhD in Computer Science (University of Waterloo, 2019-2023), MSc in Computer Science (Université de Lille, France), BSc in Computer Science (Université de Lille, France). Research Interests : Designing intelligent systems (e.g., DirectGPT), visualizing information (e.g., Charagraph/ChartDetective), and augmenting digital documents (e.g., Chameleon). He explores how interface metaphors and direct manipulation can improve interactions with AI and data. Recent Work : His 2025 CHI papers introduced Textoshop (drawing-inspired text editing) and linked writing tools to user needs. In 2024, DirectGPT demonstrated faster LLM interactions via direct manipulation. Earlier work includes Statslator (statistical reporting) and ChartDetective (data extraction from vector charts). Awards : 2024 Bill Buxton Award (best HCI dissertation), 2023 CHI Best Paper (ChartDetective), and 2020 CHI People's Choice Award (Chameleon demo). Lab & Collaborations : Based in the André-Aisenstadt building, his group collaborates with institutions like Mila and UWaterloo. He actively mentors students in HCI and AI-related projects.

Morteza Namvarمشاهده پروفایل

مدرس ارشد

• Machine Learning
• Natural Language Processing
• Large Language Models
• +۷ مورد دیگر

Dr. Morteza Namvar is a Senior Lecturer at The University of Queensland Business School and an Affiliate of both the Centre for the Business and Economics of Health and Centre for Enterprise AI. His work bridges business contexts with advanced computational techniques, focusing on practical applications of artificial intelligence in organizational and healthcare settings. Faculty of Business, Economics and Law - School of Business Centre for the Business and Economics of Health Centre for Enterprise AI - Faculty of Engineering, Architecture and Information Technology Dr. Namvar specializes in Machine Learning (ML), Natural Language Processing (NLP), and Large Language Models (LLMs), with research concentrated in three primary areas: leveraging NLP and LLMs for enhanced theory building in Information Systems research, text feature engineering using advanced language models, and personalization/user experience enhancement through contextual understanding. His work systematically analyzes unstructured text data to develop robust theoretical constructs and improve machine learning model capabilities. His recent publications reveal strong trends in healthcare applications of LLMs, hate speech detection, and cryptocurrency market analysis through social media. The research consistently applies NLP techniques to solve real-world problems across healthcare, finance, and e-commerce domains, with particular emphasis on sociotechnical aspects of technology implementation. Dr. Namvar has successfully secured competitive funding including the prestigious UQ Knowledge Exchange & Translation Fund grant for developing social media monitoring tools for small businesses, and multiple grants from Medical Protection Society Limited for machine learning applications in healthcare systems. 2021-2022: Developing a context-specific social media monitoring tool to empower Australian small business (UQKx&T Fund) 2021: Enhancing Education Development: Analysing Members' Feedback Using Machine Learning Techniques (Medical Protection Society) 2021: Investigating the effective use of data and analytics in Medical Protection Systems (Medical Protection Society) He currently supervises five PhD students working on NLP and LLM applications in healthcare, data privacy regulation, and patient outcomes. His research impacts include leading machine learning projects with industry partners like Medical Protection Society and PA Hospital, where his NLP techniques have helped improve organizational strategies through text data analysis.

Hongbo Liuمشاهده پروفایل

مدرس ارشد

• Digital marketing
• Social media
• Digital technology
• +۲ مورد دیگر

Dr. Hongbo (Daisy) Liu is a Senior Lecturer in Hospitality at the University of Surrey's School of Hospitality and Tourism Management. She holds a BA in Tourism Management from Fudan University, an MS in International Hospitality and Tourism Management from University of South Carolina, and a PhD in Business Administration from Temple University. Her research focuses on digital marketing, social media, digital technology, cross-cultural studies, and consumer psychology in tourism and hospitality. Dr. Liu has led or co-authored over 35 publications and worked on more than 20 funded projects. She serves as Programme Leader for MSc in International Hospitality Management with Digital Innovation and as Student Exchange Coordinator. Her research projects include studies on social media bragging effects, user-generated photos, and digital innovation in hospitality. She currently supervises three postgraduate research students exploring augmented reality experiences for D/deaf individuals, wellbeing of Muslim medical travelers, and smart hotel customer experiences. Her teaching portfolio includes undergraduate courses on service marketing and technology, and postgraduate courses on research methods and digital marketing.

Steve McKelveyمشاهده پروفایل

استاد

• Intellectual Property Law
• Ambush Marketing
• Sport Sponsorship
• +۳ مورد دیگر

Steve McKelvey is a Professor of Sport Management at the University of Massachusetts Amherst’s Isenberg School of Management. He holds academic appointments since 2002, progressing from Assistant to Associate and currently Full Professor. His professional background includes roles in sports law, marketing, and management, including as Partner at Diamond Management Group and leadership positions in organizations like the Baseball Commissioner’s Office and PSP Sports. Education: JD, Seton Hall School of Law (1992) MS Sport Management, UMass Amherst (1986) BA American Studies, Amherst College (1981) Research focuses on Intellectual Property Law, Ambush Marketing, and Athlete Rights . He has explored legal challenges in social media, sponsorship strategies, and First Amendment tensions in sport branding. Teaching spans undergraduate and graduate courses in Sport Law, Sales, and Promotion. His publications (2011–2017) analyze legal frameworks for digital marketing, trademark disputes, and regulatory compliance. Awards include the Betty van der Smisson Leadership Award (2017) and recognition for mentorship and teaching excellence. Grants and advising details are not explicitly listed, but his work emphasizes interdisciplinary collaboration between legal, marketing, and operational aspects of sport management. He contributes to industry through consulting and academic leadership in sport law associations.

• Data Management
• Database Systems
• Graph Data Management
• +۴ مورد دیگر

Professor Chengfei Liu is a faculty member at Swinburne University of Technology, leading the Web and Data Engineering research group and serving as focus area leader for Knowledge and Data Intensive Systems in the SUCCESS Centre. His research focuses on web data management, advanced database systems, graph data, and workflow models. He has held academic positions at the University of South Australia, University of Technology Sydney, and the University of Queensland's DSTC. His work spans data management, distributed systems, and information systems, with notable contributions to cohesive subgraph discovery and efficient algorithms. Research interests include keyword queries, uncertain data, graph databases, and artifact-centric workflows. His awards include the Vice-Chancellor's Research Excellence Award (2007) and multiple best paper/demo awards at top conferences. Professor Liu supervises numerous PhD students and holds grants from the Australian Research Council (ARC), including projects on dynamic networks, heterogeneous graphs, and information resilience. He has authored over 297 publications, with recent work addressing topics like Bitcoin transaction prediction, federated subspace clustering, and multimodal eating disorder detection. His professional roles include program committee memberships at SIGMOD, ICDM, and CIKM, reflecting his influence in data science and database research.

Aron Culottaمشاهده پروفایل

استاد

• Natural Language Processing
• Social Network Analysis
• Artificial Intelligence
• +۹ مورد دیگر

Aron Culotta is a Full Professor of Computer Science at Tulane University, leading the Text Analysis in the Public Interest lab and serving as Director of the Tulane Center for Community-Engaged Artificial Intelligence and the Jurist Center for Artificial Intelligence. He holds a Ph.D. from the University of Massachusetts Amherst (2008), a M.S. from the same institution (2004), and a B.S. from Tulane University (2002). His work focuses on human-centered AI, leveraging NLP and social network analysis to address societal challenges in public health, emergency response, criminal justice, and civic transparency. Culotta has pioneered methods to track disease outbreaks, measure public health campaign effectiveness, and inform disaster response through social media analysis. Research interests include natural language processing, causal inference, domain adaptation, and crisis informatics. Notable contributions span frameworks for reducing algorithmic bias, developing community-driven AI platforms, and analyzing social media dynamics for public good. His interdisciplinary projects are supported by over $4.8M in funding from NSF, NEH, and Tulane initiatives, among others. Culotta has mentored 33 capstone teams and advised 5 graduated PhD students now in academia and industry. Awards: Barbara E. Moely Service Learning Award (2024-2025), Nayar Prize Finalist (2016), Teacher of the Year (2018), and multiple best paper recognitions at AAAI and CSCW. Leadership: Spearheads the Tulane CEAI Center, fostering collaborations across 7 universities and 3 non-profits. Hosts workshops like PACE 2024 and Gulf Coast AI Social at NeurIPS. Education: Ph.D. in Computer Science (UMass Amherst, 2008), M.S. (UMass Amherst, 2004), B.S. (Tulane University, 2002). His work emphasizes collaboration with community partners to ensure AI systems are inclusive, transparent, and equitable. Recent projects include a criminal court transparency platform and AI tools for tracking blight in New Orleans. Culotta’s research bridges technical innovation with societal impact, addressing urgent challenges like health equity and algorithmic fairness.

Jan Trzaskowskiمشاهده پروفایل

استاد

• Data Protection Law
• Digital Privacy
• Platform Regulation
• +۳ مورد دیگر

Jan Trzaskowski is a Professor at the Department of Law within The Faculty of Social Sciences and Humanities at Aalborg University. His research focuses on digital privacy law, platform regulation, and GDPR compliance. He is actively involved in interdisciplinary initiatives such as the MASSHINE network (Mission: Improved Wellbeing Among Children And Youth In Denmark) and the SSH Children and Youth Research Network. Trzaskowski's work addresses modern legal challenges in the digital era, including generative AI regulation, dark patterns in consumer interfaces, and ethical synthetic data usage. He co-leads the SE3D project (2024–2028), exploring ethical development of synthetic health data via deep learning. His publications span books, journal articles, and conference proceedings on topics ranging from EU internet law to behavioral regulation in technology. He has been frequently cited in media discussions on digital privacy, AI ethics, and platform governance. Trzaskowski chairs the Nordjysk GDPR-netværk and contributes to policy debates through 62+ press/media engagements.

Cathay Y. N. Smithمشاهده پروفایل

استاد

• Copyright Law
• Free Speech
• Art and Cultural Property Law
• +۱ مورد دیگر

Cathay Y. N. Smith is a Professor and Co-Director of the Program in Intellectual Property Law at Chicago-Kent College of Law, Illinois Institute of Technology. She holds a Master of Laws in International Human Rights Law from Lund University and previously taught at the University of Denver Sturm College of Law and New York Law School’s London Program. As a practicing attorney, she represented technology, fashion, and entertainment corporations in trademark and copyright matters. Her research explores copyright law and free speech intersections in contemporary culture and art, focusing on issues like cultural reappropriation, political expression, and digital media. Key themes include the ethics of revising classic works, censorship mechanisms, and balancing creator rights with public discourse. Smith's publications demonstrate sustained focus on copyright's societal impact, with recent works examining political imagery, meme culture, and historical revisionism through legal frameworks. Her scholarship frequently addresses tensions between ownership rights and cultural evolution. She serves as the 2022 chair of the AALS Section on Intellectual Property and maintains bar admissions in multiple jurisdictions. No awards or student advising details were noted.