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Zhu HanView profile

Professor

• Game Theory
• Wireless Networking
• Security
• +4 more

Dr. Zhu Han is the John and Rebecca Moores Professor at the University of Houston's Cullen College of Engineering, Department of Electrical and Computer Engineering. His research focuses on game theory, wireless networking, security, data analysis, and smart grid applications. He holds doctoral and master's degrees from the University of Maryland and a bachelor's from Tsinghua University. Research interests span: Next-generation wireless systems (6G/7G) AI/ML integration in communications Reconfigurable intelligent surfaces Quantum machine learning applications Secure and efficient network architectures His recent publications demonstrate strong focus on generative AI integration in wireless systems, quantum networking, semantic communications, and security frameworks for future networks. Awards and honors include: IEEE/ACM/AAAS Fellow status IEEE Kiyo Tomiyasu Award (2021) Highly Cited Researcher since 2017 IEEE Distinguished Lecturer (2015-2018) Dr. Han leads research in wireless communications and networking, with extensive industry collaboration. His lab focuses on developing theoretical foundations and practical implementations for next-generation communication systems.

Vito D'OrazioView profile

Associate Professor

• Political Science
• Data Science
• Conflict Forecasting
• +5 more

Vito D’Orazio is an Associate Professor in the Department of Political Science at West Virginia University (WVU), affiliated with the John D. Rockefeller IV School of Policy and Politics. He holds the Woodburn Professorship. His research bridges Political Science and Data Science, focusing on conflict forecasting, militarized disputes, predictive modeling, machine learning, and natural language processing for content analysis. He co-leads the Militarized Interstate Dispute (MID) project and the UTD Event Data project, supported by NSF and DARPA grants. Education: Ph.D. in Political Science from Pennsylvania State University (2013), with concentrations in International Relations, Political Methodology, and Information Science. Previously, he taught at the University of Texas at Dallas and was a postdoctoral researcher in data science at Harvard University’s Institute for Quantitative Social Science. Research interests include conflict forecasting systems, AI-driven methods for political violence analysis, and software development for social science. His work emphasizes automated machine learning (AutoML), domain-specific language models (e.g., ConfliBERT-Spanish/Arabic), and event data coding frameworks. Grants: National Science Foundation (NSF), Defense Advanced Research Projects Agency (DARPA). Collaborations: MID dataset updates via crowdsourcing, cross-lingual NLP tools for conflict analysis. Labs/Teams: Co-Principal Investigator (Co-PI) on MID and UTD Event Data projects, leading interdisciplinary teams in conflict data science.

Benedikt BergerView profile

Professor

• Digital Transformation
• Generative AI
• Business Information Systems
• +2 more

Benedikt Berger is Professor of Digital Transformation and Society at the University of Münster's School of Business and Economics, Department of Information Systems. He leads research on generative AI implementation impacts and digital business transformation, with ongoing projects funded by industry partners including BASF Coatings GmbH. His research examines AI integration in organizational contexts, voice commerce systems, and human-AI collaboration frameworks. Key projects investigate generative AI's effects on workplace structures and employee experience in industrial settings. Honors include the 2024 Best Paper Award from The Data Base for Advances in Information Systems and 2022 Best Associate Editor recognition from ECIS. He supervises graduate research on topics including robotic process automation implementation.

• Multi-Agent Systems
• Hypermedia Systems
• Web of Things
• +3 more

Andrei Ciortea is an Assistant Professor in Interaction and Communication based Systems at the University of St. Gallen, affiliated with the ICS-HSG (Interaction and Communication Systems) department. His research focuses on Internet-scale multi-agent systems, hypermedia systems, the Web of Things, and socio-technical systems. He explores topics such as autonomous agents, hypermedia environments, and the integration of digital twins in industrial automation. Key research interests include the design of adaptive coordination mechanisms, affordance-driven interaction models, and semantic hypermedia search. His work emphasizes practical applications in manufacturing, energy systems, and sustainable design. Notable contributions include the HyperBrain project leveraging large language models for human-inspired guidance and the Solid-based Pody framework for agent embodiment in web systems. He received the Best Paper Award at the 6th International Conference on the Internet of Things (IoT 2016). His publications span topics like digital twin ecosystems, circular design strategies, and governance frameworks for autonomous agents on the web. Current research trends highlight the interplay between agent autonomy, hypermedia architectures, and socio-technical interactions in smart environments. Dr. Ciortea collaborates on interdisciplinary projects involving AI ethics, transparent machine intelligence, and real-time collaboration in linked data systems. His work bridges theoretical agent models with real-world industrial applications, emphasizing scalable, interoperable solutions for distributed systems.

Brian Vejrum WæhrensView profile

Professor

• Circular Economy
• Supply Chain Management
• Industry 4.0
• +5 more

Brian Vejrum Wæhrens is a Professor at the Department of Materials and Production, Aalborg University, Denmark. He leads research in circular economy, Industry 4.0, and sustainable manufacturing systems. His work focuses on supply chain innovation, digital transformation in production, and closing material loops through advanced manufacturing technologies. Key Affiliations: Center for Industrial Production, The Faculty of Engineering and Science Projects: CIFA (Circular Factory), AAU Circular Plastics, CYCLES (Plastic Economy Transition) Research Interests: Circular Economy strategies, digital product passports, closed-loop manufacturing systems, and Industry 4.0 applications in SMEs. His work bridges theoretical frameworks with practical implementation in Danish manufacturing sectors. Publications emphasize case studies in smart production systems, automated robotics, and supply chain resilience. He actively engages with industry through advisory roles and has contributed to Danish policy discussions on sustainability and innovation.

• Human Evaluation
• Data-to-text Generation
• Natural Language Generation
• +3 more

Chris van der Lee Dr. Chris van der Lee is an Assistant Professor at Tilburg University's Tilburg School of Humanities and Digital Sciences (TSHD),隶属 Department of Communication and Cognition. His work focuses on human evaluation of natural language generation systems, data-to-text generation, and reproducibility challenges in computational linguistics. He actively contributes to advancing methodologies for assessing AI-generated content and improving transparency in research practices. Research Interests Key areas include: Human evaluation frameworks for automated text generation Data-to-text generation using small datasets Reproducibility in NLP research Conversational AI and chatbot interactions Awards Best Paper Award (2019) Best Thematic Paper Award (2021) Outstanding Reviewer Recognition (2020) Collaborations Dr. van der Lee collaborates with international researchers on projects like the ReproHum initiative, investigating reproducibility barriers in human evaluations. His work also involves interdisciplinary projects, such as developing digital health assistants for medication reconciliation.

Onnig H. DombalagianView profile

Professor

• Securities Regulation
• Derivatives Law
• Financial Market Governance
• +5 more

Onnig H. Dombalagian is the George Denègre Professor of Law at Tulane University, affiliated with Tulane Law School. He specializes in U.S. and international regulation of securities and derivatives markets, focusing on federal and state law interactions in corporate governance. His roles include serving as Vice Dean for Academic Affairs (2016–2020) and contributing to regulatory bodies like FINRA's National Adjudicatory Council. He holds a JD, cum laude, from Harvard Law School and an AB in Computer Science, summa cum laude, from Harvard College. Education: JD, cum laude, 1995, Harvard Law School AB in Computer Science, summa cum laude, 1992, Harvard College Research Interests: Professor Dombalagian examines regulatory frameworks for securities, derivatives, and emerging financial technologies like cryptocurrency. He explores how federal/state laws interact in corporate governance, with a focus on market integrity, self-regulatory organizations, and policy adaptation to digital finance. His work bridges legal, technological, and economic dimensions of financial markets. Key Contributions: His recent articles address cryptocurrency-based exchange-traded products (ETPs), class certification in securities litigation, digital bond trading, and automated compliance systems. These reflect a focus on regulatory challenges posed by technological innovation and market evolution. Awards: Felix Frankfurter Distinguished Teaching Award (2007) Advising & Grants: While no formal advisees are listed, his extensive regulatory roles and academic contributions imply significant mentorship in securities law and policy. His work with FINRA highlights practical engagement with industry disputes and regulatory enforcement. Labs/Teams: Engaged with Tulane Law School's research initiatives and external bodies like FINRA, contributing to adjudication and dispute resolution in financial markets.

Tai NeilsonView profile

Senior Lecturer

• Journalism
• Political Economy of Digital Media
• Critical Cultural Theory
• +3 more

Tai Neilson is a Senior Lecturer in Media and Major Coordinator for Journalism and Nonfiction Writing at Macquarie University's School of Communication, Society and Culture. He holds a PhD in Cultural Studies from George Mason University, an MA in Sociology from the New School for Social Research, and a BA (Honours) in Sociology and Media Studies from Victoria University of Wellington. Neilson's research explores the political economy of digital media, journalism practices, and critical cultural theory. His work investigates how digital platforms, data collection, and new capital accumulation models shape media labor. Specific interests include journalists' professional ideologies, power dynamics in media work, and intersections of technology with social justice. His research demonstrates consistent focus on digital journalism transformations, with articles examining platform regulation, AI in publishing, labor conditions, and harassment dynamics. Recent works critically analyze policy frameworks and technological impacts on news production. Faculty of Arts Teaching Award for Diversity, Inclusion and Belonging Neilson actively supervises graduate researchers in journalism, digital media, and critical theory. Current doctoral candidates include Petra Petruccio (algorithmic news curation) and Kara Ortiga (disinformation entanglements). He coordinates collaborative projects including 'AI/Journalism/Distributed Ethics' and has developed inclusive pedagogical initiatives like Australia's first autism-friendly journalism course featured on ABC's The Assembly .

Terence BroadView profile

Senior Lecturer

• Generative AI
• Computational Creativity
• Artistic Applications of Machine Learning
• +5 more

Terence Broad is a Senior Lecturer at the Creative Computing Institute, University of the Arts London, and Acting Course Leader of the MSc Applied Machine Learning for Creatives. He is currently completing a PhD at Goldsmiths, University of London. His work bridges art and technology, focusing on generative AI, computational creativity, and the use of machine learning as artistic materials. His research has been exhibited globally at venues like The Whitney Museum of American Art and SIGGRAPH conferences. Education: MSci Creative Computing from Goldsmiths, University of London (2012–2016). Research interests include expressive manipulation of deep generative models, exploring the latent possibilities of 'black-box' systems, and ethical considerations in AI art. He has pioneered methods like 'Network Bending' for creative model customization. Key achievements include winning the ICCV Computer Vision Art Gallery Grand Prize (2019) and serving on the SIGGRAPH jury (2021). His work is part of Geneva's contemporary art collection and has been featured in media like The Independent and Vox. Professional activities include organizing conferences like IGGI 2020 and reviewing for journals like Leonardo and ACM Transactions on Image Processing. He actively participates in exhibitions, artist talks, and academic workshops.

Morgan A. GrayView profile

Adjunct Professor

• Criminal Procedure
• Machine Learning
• Natural Language Processing
• +3 more

Morgan A. Gray is an Adjunct Professor of Law at the Thomas R. Kline School of Law of Duquesne University. His research focuses on the intersection of law and artificial intelligence, particularly in criminal procedure, machine learning applications for legal document analysis, and systems to improve access to justice. He holds a B.A. from Thiel College (2016) and a J.D. from Duquesne University (2019), and is currently pursuing a Ph.D. in Intelligent Systems at the University of Pittsburgh. Education: B.A., Thiel College, 2016 J.D., Thomas R. Kline School of Law of Duquesne University, 2019 Ph.D. Candidate (Intelligent Systems), University of Pittsburgh Gray's work emphasizes interpretable machine learning models in legal contexts, including automated identification of legal factors and user-centric AI explanations. His scholarship bridges computational methods with legal practice, addressing challenges like predictive model transparency and equitable legal access. Professionally, he served as a judicial clerk for the Commonwealth Court of Pennsylvania (2019-2021) and is admitted to practice law in Pennsylvania and the Western District of Pennsylvania federal court. His research and development efforts aim to create tools that make legal systems more accessible through technological innovation.

Amna MirzaView profile

Assistant Professor

• Language and Reading Development
• Learning Disabilities in English Language Learners (ELLs)
• Multilingual Literacy and Orthographies
• +3 more

Dr. Amna Mirza is an Assistant Professor in the Faculty of Education at Mount Saint Vincent University. Her research focuses on language and reading development, learning disabilities in English Language Learners (ELLs), and the impact of genetics on conditions like Dyslexia. She collaborates with institutions like Wilfrid Laurier University and Brock University on interventions for multilingual literacy improvement. Dr. Mirza also runs teacher training programs internationally, emphasizing literacy principles. She holds a PhD in Developmental Psychology from Wilfrid Laurier University and supervises graduate students at MA/PhD levels. Her office is located in Seton 579, and she can be reached at Amna.Mirza@MSVU.CA. Her work examines reading profiles in diverse orthographies (e.g., Urdu, English) and evaluates vocabulary-based interventions for ELLs. Current projects explore how enriched literacy programs affect 2nd/3rd graders with/without learning disabilities. She also investigates AI ethics, digital transformation, and Industry 4.0 implications across governance and climate change. Education: PhD in Developmental Psychology (Wilfrid Laurier University) Research Collaborations: Wilfrid Laurier University, Brock University International Projects: Teacher training programs on literacy principles Supervision: Accepting MA/PhD students in Education Dr. Mirza’s research bridges educational psychology and technological advancements, addressing both foundational learning challenges and societal impacts of digitalization. Her recent work spans AI-driven governance systems, circular economy opportunities, and ethical challenges in AI applications.

• Evolutionary Computation
• Multi- and Many-Objective Optimization
• High-Dimensional Visualization
• +3 more

Dr. Amin Ibrahim is an Associate Teaching Professor in the Faculty of Business and Information Technology at Ontario Tech University, specializing in evolutionary computation, optimization, and machine learning. He holds a PhD and MASc in Computer Engineering from Ontario Tech University and a BASc in Computer Engineering from the University of Toronto. His research focuses on multi- and many-objective evolutionary algorithms, high-dimensional visualization, and applying optimization techniques to big data challenges. He has won two Teaching Excellence Awards at Ontario Tech University (2008 and 2018) and contributed to peer-reviewed journals, book chapters, and conferences. Education: PhD in Computer Engineering, Ontario Tech University MASc in Computer Engineering, Ontario Tech University BASc in Computer Engineering, University of Toronto Research interests span evolutionary algorithms, machine learning applications, and optimization-driven solutions for complex systems. Recent work includes electric vehicle infrastructure planning and resilient supply chain design. His articles address multi-objective optimization, risk management, and sustainable transportation. Awards and Honors: Teaching Excellence Award (2008, 2018) Graduate Continuing Scholarship (2008) Graduate Entrance Scholarship (2007) Professional Involvement: Session chair at IEEE World Congress on Computational Intelligence (2016), workshops on cybersecurity and supply chain management, and contributions to IBM CASCON (2008). Active in the Business Analytics & AI Research Group, focusing on transforming data into actionable insights for business decision-making. Teaches courses ranging from cryptography to discrete mathematics and business analytics.

Sophie BorweinView profile

Assistant Professor

• Political Economy
• Political Behavior
• Public Policy
• +6 more

Sophie Borwein is an Assistant Professor of Political Science at the University of British Columbia, affiliated with the Department of Political Science in the Faculty of Arts. She holds a Ph.D. from the University of Toronto (2020). Her research focuses on political economy, political behavior, and public policy, with two key areas: the impact of local contexts on political preferences and responses to economic disruption caused by technology versus other labor market shocks. She has published on Canadian social policy, immigration policy, and place identity. Her work examines how technological changes (e.g., AI, automation) influence public attitudes, policy demands, and electoral behavior. She also investigates urban-rural policy divides and municipal identity. Borwein teaches courses such as Quantitative Methods in Political Science and Advanced Topics in Canadian Politics . Her recent research highlights themes like fiscal federalism in healthcare, the political implications of AI, and the socio-economic effects of automation. She explores how information about trade-offs shapes public support for policies addressing job loss. Her work often bridges comparative politics with Canadian-specific contexts, emphasizing empirical rigor and interdisciplinary approaches. Borwein’s articles span topics from acoustic analysis of political speech to policy transformation in Canada. She collaborates on projects analyzing the microfoundations of attitudes toward AI and globalization, as well as the gender dimensions of technological change. Her research contributes to understanding how place-based identities and economic anxieties shape contemporary politics.

Christopher O'NeillView profile

Research Fellow

• Automation
• Biopower
• Facial Recognition
• +2 more

Christopher O'Neill is a Research Fellow at the Alfred Deakin Institute for Citizenship and Globalisation, Deakin University. His research examines automation, facial recognition, and biopower, with emphasis on ethical, social, and political implications in contemporary societies. He holds a PhD from the University of Melbourne (2020) and has held positions at Monash University, Harvard University, and IRCAM-CNRS in Paris. His work intersects philosophy, media studies, and technology ethics. Recent publications analyze conspirituality in online scams, facial recognition in gambling regulation, pandemic automation, and Foucauldian critiques of information theory. His research addresses governance challenges in emerging surveillance technologies and automated systems.

Christopher TurnerView profile

Senior Lecturer

• Business Analytics
• Digital Manufacturing
• Industry 4.0
• +5 more

Dr. Christopher Turner is a Senior Lecturer in Business Analytics with a focus on research in human-centric manufacturing, Industry 5.0 automation, and explainable AI. He is affiliated with the cross-University People-centred AI Institute and the IEEE Task Force on Process Mining. His work bridges advanced technologies like the Metaverse and machine learning with practical applications in logistics and maintenance systems. Education: MSc, MSc, PhD Research interests include business analytics, data mining, machine learning, digital manufacturing, and sustainable distributed manufacturing. Recent publications emphasize the integration of extended reality (XR) in production systems and frameworks for explainable AI. With over 100 peer-reviewed publications and 5,600 citations (H-index 30), his research has significant impact. Notable projects include the AUTONOM initiative (collaborating with Network Rail) and a Knowledge Transfer Partnership (KTP) with Basemap, developing logistics management software. Teaching responsibilities include the MSc module Operations Management and Digital Services within the Operations and Supply Chain in the Digital Era and Entrepreneurship programs.