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Mohammad ZubairView profile

Professor

• High performance computing
• digital libraries
• autonomic computing
• +3 more

Mohammad Zubair is a Professor in the Department of Computer Science at Old Dominion University's College of Sciences, specializing in high performance computing, digital libraries, autonomic computing, and peer-to-peer networks. His work bridges scientific computing and information systems with significant federal and industry collaborations. Education: Ph.D. in Computer Science, Indian Institute of Technology Delhi (1987) B.S. in Electrical & Electronics Engineering, University of Delhi (1981) Research Interests: Dr. Zubair's expertise centers on high performance computing for scientific applications and large scale data analytics. He develops scalable algorithms for scientific simulations (e.g., particle physics, structural health monitoring) and advances digital library systems through autonomic computing, collaborative classification, and metadata extraction. His work integrates parallel computing with domain-specific challenges in finance, physics, and digital preservation. Publication Trends: His recent publications (2017-2008) show strong focus on GPU-accelerated scientific computing (particle colliders, structural monitoring) and computational finance (binomial option pricing), while maintaining digital library research in collaborative classification and metadata extraction. The work increasingly addresses energy efficiency in cloud systems and leverages parallel architectures from multicore CPUs to GPUs. Scientific Awards: IBM Faculty Award (2006) IBM Faculty Award (2005) Grants and Funding: Dr. Zubair has secured over $800,000 in research funding since 2004, including projects like 'Design AMD Impl Scalable Opt Kernels for Lrg Sc Simu USN Fund3d On Emer' ($24,890, 2017-2018), 'Graduate Research Award Program On Public Sector Aviation Issues' ($35,519, 2016-2018), and foundational digital library work with the Library of Congress and NASA. He frequently collaborates with K. J. Maly and R. Mukkamala on autonomic systems and metadata extraction. Labs and Teams: His research integrates with ODU's high performance computing initiatives and digital library projects, particularly through collaborations with federal agencies (NASA, Library of Congress) and industry partners like IBM. Current work focuses on GPU-accelerated scientific simulations and energy-efficient cloud management systems.

Marianne Aubin Le QuéréView profile

Researcher

• AI Information Ecosystems
• Computational Social Science
• Social Computing
• +5 more

Marianne Aubin Le Quéré is a Postdoctoral Research Associate at Princeton University's Center for Information Technology Policy (CITP) . Her work examines how AI and emerging technologies reshape online news and civic information ecosystems, with a focus on generative AI's societal impacts, human-centered informedness models, and LLMs as research methodologies. Research Interests : Social computing, computational social science, communication, and ethical AI applications. Recent Publications span topics like: longitudinal analysis of Reddit communities, YouTube search algorithm biases in health misinformation, and the rise of AI-driven disinformation networks. She emphasizes mixed-method approaches to study digital platforms' role in political polarization and media integrity. Awards : Top Paper Award, International Communication Association (2024) Facebook Fellowship Finalist (2021) Industry Experience includes internships at Mozilla, Bell Labs, and Reddit. She holds a B.S. in computer science and nonfiction from Brown University and worked as a product manager at Microsoft before her PhD in Information Science from Cornell Tech.

• Economics
• Management
• Tourism
• +4 more

Ana Brochado is an active Associate Professor with Habilitation at ISCTE Business School (ISCTE - Lisbon University Institute), holding dual appointments in the Department of Marketing, Operations and General Management and as an Integrated Researcher at DINÂMIA'CET-Iscte Center for Socioeconomic and Territorial Studies. She serves as President of the Direção Regional do Centro e Alentejo for Ordem dos Economistas and maintains international teaching collaborations with business schools in Germany, France, South Korea, and China. Her educational background includes a BSc in Economics (UP, 1998), MSc in Quantitative Methods (Porto Business School, 2002), PhD in Management (FEP, 2007), and Habilitation in Marketing (ISCTE-IUL, 2017). Prior to academia, she worked over a decade as Senior Economist for Portugal's Competition Authority and Securities Commission. Brochado's research spans economics and management with particular focus on tourism, consumer behavior, sustainable development, and quantitative methods. Her work demonstrates strong interdisciplinary connections between market dynamics, policy evaluation, and socio-territorial studies, frequently employing advanced analytical techniques including sentiment analysis of user-generated content and mixed-methods approaches. Analysis of her 15 most recent publications reveals dominant themes in sustainable tourism development (23%), cryptocurrency/FinTech (18%), hospitality management (15%), and consumer psychology (12%), with consistent application of quantitative methodologies across all domains. Her work frequently examines post-crisis recovery contexts and cross-cultural consumer behavior patterns. Stanford/Elsevier Top 2% Scientists List (2022-2024) President of Direção Regional do Centro e Alentejo - Ordem dos Economistas External expert for European Commission Strategic Board member for Compete2020 Brochado has coordinated numerous research projects including municipal marketing plans for Arruda dos Vinhos, Campo de Ourique, Alcântara and Mangualde (2023-2024), territorial sustainability diagnostics for Vila do Conde (2023), and business innovation evaluation systems (2020). She previously served as ISCTE Business School Vice Dean for administrative and faculty affairs and coordinated the PhD in Tourism Management program. Her current leadership extends to directing market studies for municipal development and evaluating territorial dynamization strategies. As principal investigator for DINÂMIA'CET-Iscte projects, she leads interdisciplinary teams examining governance, economy, and citizenship dynamics, with particular focus on integrating quantitative policy evaluation methods into territorial development frameworks. Her ongoing work includes analyzing phygital economy transformations and sustainable growth models through media contributions and academic research.

Mika P. NieminenView profile

Senior Lecturer

• Participatory design
• User involvement
• Human-computer interaction
• +4 more

Mika P. Nieminen is a Senior Lecturer at Aalto University's Department of Computer Science, specializing in participatory design and human-computer interaction. His work bridges emerging technologies with practical applications in healthcare and education. Key areas: Participatory design, User involvement, Collaborative VR Co-leads Strategic Usability Research Group (STRATUS) Focus on usability and competency models in technology development Recent publications highlight interdisciplinary trends: ML-assisted medical education (2025) Asymmetric VR communication (2023) Migrant-inclusive chatbot development (2020) Patient experience mapping systems (2018) Self-presentation in digital health (2017) His research group STRATUS develops practical frameworks for technology integration across domains.

Tobias MahlerView profile

Professor

• Artificial Intelligence Law
• Robotics Regulation
• Cybersecurity Law
• +5 more

Tobias Mahler is a Professor of Law at the University of Oslo's Department of Private Law and serves as deputy director of the Center for Legal Informatics. He leads the legal innovation lab LILO and has been a visiting scholar at prestigious institutions including Stanford Law School and the Max Planck Institute for Foreign and International Criminal Law in Freiburg, Germany. Originally trained as a German lawyer, Mahler has practical experience having previously practiced as a paralegal in Norway. Professor Mahler's research spans the intersection of law and emerging technologies, with particular expertise in artificial intelligence regulation, robotics law, cybersecurity, and digital governance. His work focuses on developing legal frameworks that balance innovation with risk management and proportionality. He has published extensively on the EU AI Act, examining its risk-based approach and implementation challenges across various technological domains. His research also addresses the legal implications of healthcare robotics, cloud computing services, and domain name systems in the evolving digital landscape. Analysis of Mahler's recent publications reveals a strong focus on the regulatory challenges posed by artificial intelligence, particularly the EU's regulatory framework. His work examines both high-risk and non-high-risk AI systems, exploring compliance procedures, national implementation strategies, and the relationship between risk management and legal proportionality. He has made significant contributions to understanding how legal frameworks should address specific applications like medical AI, care robotics, and smart robotics within the EU context. His research consistently bridges technical and legal perspectives, emphasizing the need for adaptable regulatory approaches that can keep pace with technological innovation. Professor Mahler holds several important positions that demonstrate his influence in the field. He serves as a member of the Research Council's advisory expert group for the KI initiative (2023), is a board member of the Norwegian Association for Law and EDB, and participates in Standard Norway's committee on Artificial Intelligence (SN/K 586). He has led significant studies for both the Research Council of Norway on research data sharing and for the EU Commission related to the Digital Services Act. Previously, he served as program manager for the LLM in Information and Communication Technology Law. At the University of Oslo, Mahler is actively involved in research groups focused on Law and Technology (JOT) and Market, Innovation and Competition (MIK). He leads the legal innovation lab LILO and contributes to projects including Societal Security and Digital Identities (SODI) and Vulnerability in a Robot Society (VIROS), which examine the legal and societal implications of emerging technologies in security contexts and robotics.

• Information Retrieval
• Recommender Systems
• Fairness and Ethics in AI
• +4 more

Fernando Diaz is an Associate Professor at Carnegie Mellon University's Language Technologies Institute within the School of Computer Science . His research spans Information Retrieval , Recommender Systems , and the Societal Impacts of Artificial Intelligence , with a focus on fairness, ethics, and evaluation metrics. Education : PhD in Computer Science from University of Massachusetts Amherst Research Interests include: Information Retrieval (web search, crisis informatics, search latency) Recommender Systems (multi-interest personalization, cultural content recommendation) AI Fairness (exposure fairness, data minimization, bias mitigation) Evaluation Methodology (metric robustness, contextual meta-evaluation) Human-AI Collaboration (mouse behavior analysis, preference-based evaluation) Retrieval-Augmented Generation (fair ranking, model synthesis) His recent work analyzes scaling laws , tip-of-the-tongue retrieval , and multisided fairness in AI systems. Diaz also explores the cultural implications of AI in music recommendation and content curation. Teaching : Leads courses on Search Engines and LTI Colloquium Advisees : Shaily Jagat Bhatt, Athiya Deviyani, Alfredo Gomez, Jessica Huynh, To Eun Kim

Xiangyang LiView profile

Teaching Professor

• Information Security
• Security Intelligence
• Human Security Informatics
• +5 more

Xiangyang Li is an Associate Teaching Professor in the Department of Computer Science at Johns Hopkins University, specializing in information security, security intelligence, and human security informatics. His research focuses on computer and system security, user modeling, intelligent systems, simulation and modeling, and knowledge discovery. Education: PhD from Arizona State University Li's work integrates computational cognitive modeling to analyze user security behaviors, phishing classification decisions, and behavioral biometric vulnerabilities. He has developed high-interaction honeypots, explored adversarial techniques against spam detection models, and studied monetary incentives in phishing scenarios. His funded projects include contributions to cybersecurity from DARPA, Air Force Research Laboratory, University of Michigan, and Rensselaer Polytechnic Institute. Li has received recognition including Best Paper Nomination at HICSS-52 and First Place Award at SIG-KM International Research Symposium. At JHU, he teaches courses such as Introduction to Information Security and Computer Intrusion Detection. His research is affiliated with the Information Security Institute.

• Interactive AI
• Human-Centered AI
• Fairness in AI
• +3 more

Elizabeth M. Daly is a Research Scientist at IBM Research Laboratory, Dublin, and an Adjunct Assistant Professor at Trinity College Dublin's School of Computer Science and Statistics. Her work focuses on interactive AI , human-centered design , and fairness in algorithmic systems . She contributes to AI governance and LLM safeguarding through projects like AutoFair and Granite Guardian. Ph.D. in Computer Science (2007), Trinity College Dublin Thesis: Social Network Analysis for Routing in Disconnected Delay-Tolerant MANETs Her research interests span: Interactive AI : Facilitating AI-human negotiation for common objectives Trustworthy AI : Addressing fairness, accountability, and transparency in industrial applications Explainable AI : Developing tools like AIMEE for model exploration and editing She serves on the program committees of top conferences (RecSys, IUI, WWW, UMAP, ICWSM) and the Royal Irish Academy’s committee on Engineering and Computer Science. Notable scientific award: ACM Distinguished Member . Projects: AutoFair : Human-compatible automation of fairness in AI AIMEE : AI model explorer and editor tool Usage Governance Advisor : Translating AI intent into governance frameworks She leads the Interactive AI Group at IBM Research Europe - Ireland.

Leonardo BanhView profile

Researcher

• Generative AI
• Artificial Intelligence
• Machine Learning
• +6 more

Leonardo Banh is a Researcher at the University of Duisburg-Essen within the Faculty of Computer Science and its Chair of Business Information Systems and Software Engineering . M.Sc. in Business Information Systems (University of Duisburg-Essen, 2022) B.Sc. in Business Information Systems (University of Duisburg-Essen, 2020) Semester abroad at Instituto Superior Técnico, Lisbon (2021) His research focuses on Generative AI and its socio-technical implications, particularly in Machine Learning and Deep Learning applications. He explores intersections with NeuroIS , Smart Tourism , and E-commerce Ecosystems , emphasizing sustainability and digital transformation. Recent publications analyze Generative AI in Software Engineering , AI in Music Sentiment Analysis , and AI-Based Sign Language Translation . His work often involves design science research and grounded theory frameworks. Best Paper in Track Award (ICIS 2024) Nominated for Best Paper Award (ICIS 2024) Outstanding Reviewer (ICIS 2024) As advisor, he supervises theses on topics including AI-Based Mental Health Chatbots , Generative AI in HR , and Smart Tourism Applications . He also contributes to the Institute of Computer Science and Information Systems and serves on appointment/habilitation committees.

Michael HarrView profile

Researcher

• Artificial Intelligence
• Recruiting
• Digitalization and digital Transformation of Human Resource Management
• +4 more

Michael Harr is a doctoral researcher and research assistant at the University of Duisburg-Essen, affiliated with the Faculty of Computer Science and the Chair of Business Informatics and Integrated Information Systems. His work focuses on artificial intelligence, digital transformation of HR management, enterprise systems, new work arrangements, and digital communication. He has published extensively on these topics in leading journals and conferences. Education: M.Sc. in Business Information Systems (2020-2023), University of Duisburg-Essen B.Sc. in Business Information Systems (2016-2020), University of Duisburg-Essen His research explores the intersection of AI and human-centric systems, including studies on retail service robots, intelligent HRIS, generative AI in MOOCs, and user annoyances in voice assistants. Recent publications analyze digital communication trends and digitalization challenges in the construction sector. Publications: Harr has contributed to key areas such as retail automation, HRIS optimization, and AI-driven e-learning, with a focus on practical applications and theoretical frameworks. Supervised Theses: Exploring ChatGPT for MOOCs AI in Knowledge Management Technostress and Quiet Quitting Taxonomy of AI Recruitment Tools Talent Recruitment on Social Networks Labs and Teams: Harr is involved in the Retail Artificial Intelligence Lab (retAIL) and SAP Innovation Lab, contributing to projects on digital transformation and enterprise systems.

• Virtual Reality
• Augmented Reality
• 3D Web Technology
• +5 more

Krzysztof Walczak is a Professor at the Department of Information Technology, University of Economics in Poznan. His work bridges Information and Communication Technology (75%) with Management and Quality Studies (25%). 2020–Present: Professor 2010–2020: Assistant Professor 2001: Doctorate Research focuses on Virtual & Augmented Reality applications in education, industry, and cultural heritage. Key themes include semantic modeling for adaptive XR interfaces, 3D content creation for marketing, and AI integration in immersive environments. Recent work explores: Generative AI ethics in education Industry 4.0 VR training systems Financial data visualization in AR Green digital transition policies As a scientific leader, he has published 70+ works and supervised 110+ research activities. His Hirsch index (approx. 25) reflects significant impact in semantic XR systems and 3D web technologies.

Valentin DeschaintreView profile

Researcher

• Computer Graphics
• Computer Vision
• Machine Learning
• +5 more

Valentin Deschaintre is a Researcher at Adobe Research in London, focusing on image and 3D/appearance asset understanding, generation, and authoring with emphasis on user control. He previously held academic roles at Imperial College London and Inria Sophia-Antipolis , where he earned his PhD under Adrien Bousseau and George Drettakis, collaborating with Optis (Ansys). His work bridges computer graphics, computer vision, and machine learning. His research interests span generative models , diffusion-based image manipulation , material appearance modeling , and 3D scene reconstruction . Recent publications like IntrinsicEdit (2025) and MaterialPicker (2025) highlight his work in intrinsic space editing and multi-modal material generation, often integrating user control mechanisms. Scientific Awards : French Computer Graphics Thesis Award (2020), UCA Academic Excellence Thesis Award (2020), Eurographics Junior Fellow (2024), Eurographics Young Researcher Award (2025). Internship Mentoring : He actively mentors PhD students in Adobe's internship program, including Michael Fischer (2024), Julia Guerrero-Viu (2023-2024), and Ruben Wiersma (2023).

• Sport Marketing
• Corporate Social Responsibility (CSR)
• Digital Sustainability
• +7 more

Dr Dimitrios Kolyperas is a Lecturer in Marketing & Retail at the University of Stirling, affiliated with the Institute for Retail Studies. His research spans sport marketing, corporate social responsibility (CSR), digital sustainability, and social media analysis. Digital Society and Culture Health & Behaviour Contextual Learning in Humans and Machines Being Connected His work focuses on CSR in sports organizations, ethical practices in eSports, and value co-creation through fan engagement. Recent publications investigate Twitter communication, mixed-reality sports platforms, and sustainability frameworks in football and eSports. Key trends in his 15 most recent articles include the intersection of digital technologies and CSR, fan behavior on social media, and ethical challenges in competitive gaming. He employs methodologies like bibliometric analysis and machine learning to study these domains.

Helmut KammerzeltView profile

Professor

• Digital Marketing
• Communication
• Event Management
• +5 more

Helmut Kammerzelt serves as a Professor at Fachhochschule St. Pölten (University of Applied Sciences St. Pölten), holding multiple leadership roles including Head of Marketing and Communication (BA) program and Deputy Head of Digital Marketing and Communication (MA) program. He is also Course Director for Event Management programs at academic, MA, and MBA levels and serves as a Member of the UAS Board from 2023 to 2026. His academic home is in the Department of Digital Business and Innovation. Dr. Kammerzelt completed his studies in journalism and communication science, earning a Master of Advanced Studies in Public Relations and certification as a market and opinion researcher. His academic career began in 2006 at FH St. Pölten, where he has held significant leadership positions including Department Head of Media and Business Economics (2009-2012, 2015), interim Department Head (2013-2015), and Vice Rector (2010-2012, 2015). Prior to academia, he worked in media agencies from 1999, culminating as Head of Media Service at PanMedia Western/Initiative Media. Professor Kammerzelt's research focuses on digital transformation in marketing and communication, with particular interest in AI applications, customer experience, and PR 4.0. His publications examine cutting-edge topics including chatbots, voice assistants, influencer marketing, and Gen Z consumer behavior. His work bridges academic theory with practical industry applications, often resulting from collaborations with professional organizations like the Forum Mediaplanung. Silberner Media Award (Kreative Media category) Member of advisory boards including Cawi Print Contributor to industry publications like Horizont and A3Boom Former executive board member of Forum Mediaplanung/FMP (2010-2017) Teacher at Wifi Advertising Academy As an educator, Dr. Kammerzelt has directed the Event Management program since 2009 and led the Media and Communication Consulting programs from 2007-2017. His industry background informs his practical teaching approach, and his research continues to influence both academic discourse and marketing practices in Austria. His recent work demonstrates increasing focus on AI implementation in marketing and the evolving competencies required for PR professionals in the digital age.

Eleonora RosatiView profile

Professor

• Intellectual Property Law
• EU Copyright Law
• Fashion Law
• +4 more

Eleonora Rosati is a Professor of Intellectual Property Law at the Department of Law, Stockholm University. She co-directs the LLM in European Intellectual Property Law and teaches modules including Copyright and Transborder Litigation and Fashion and Intellectual Property Law . Her research focuses on EU copyright harmonization, online intermediary liability, AI-related challenges, and fashion industry IP. Education: PhD in EU Copyright Law (European University Institute, 2012) LLM (University of Cambridge, 2009) Laurea Specialistica in Giurisprudenza (University of Florence, 2008) Laurea in Scienze Giuridiche (University of Florence, 2006) Her recent publications analyze AI training data licensing , DSM Directive implementation , and metaverse IP enforcement . She has contributed to policy debates at the European Parliament , WIPO , and EUIPO . Notable awards include the 2022 Adepi Award and recognition as an Influential Woman in IP (2020, 2025) and one of the 50 Most Influential People in IP (2018). She serves as Of Counsel at Bird & Bird and co-edits the Journal of Intellectual Property Law & Practice . As a permanent member of The IPKat team since 2012 and author of over 1,000 posts, she shapes global IP discourse. Her work spans online intermediary responsibilities , text and data mining , and international jurisdiction in digital copyright cases. She has advised on Belgian additional remuneration rights and Italian Supreme Court decisions regarding store layout design protection.