Jussara M. Almeida is an established computer science researcher specializing in social network analysis, misinformation detection, and human mobility modeling. Her extensive publication record (1996–2025) demonstrates active research in web science, political communication on messaging platforms (WhatsApp/Telegram), and cloud systems. She frequently collaborates with Brazilian institutions and international partners on large-scale data projects. Research Focus: Her core interests include: Modeling information diffusion in encrypted messaging apps (WhatsApp/Telegram) Predicting human mobility patterns and privacy implications Analyzing political discourse and election-related coordination online Developing computational methods for misinformation detection Optimizing cloud/edge computing performance Publication Trends: Recent work (2021-2025) shows intensified focus on: Telegram's role in political mobilization and information dissemination Advanced techniques for identifying fake news websites and image-based misinformation Privacy-preserving mobility analysis and edge computing Child safety in live-streaming platforms Collaborations & Impact: Key collaborators include Marcos André Gonçalves, Fabrício Benevenuto, and Marco Mellia. Her research provides critical insights into real-world problems like election integrity, platform governance, and user privacy.
Srikanth Parameswaran serves as an Assistant Professor in the Management Information Systems area at Binghamton University's School of Management, where he conducts behavioral research at the intersection of information technology and human interaction. His work bridges theoretical frameworks with practical applications in digital innovation and health informatics. His academic credentials include: BS from Anna University MS and PhD in Management Science and Systems from the State University of New York at Buffalo Parameswaran's research program investigates how digital platforms shape human behavior, with particular emphasis on IT innovation diffusion, social media dynamics, and health technology outcomes. He pioneers methodological approaches combining meta-analytic structural equation modeling with advanced text mining techniques to analyze user-generated content across online platforms. His studies on gamification mechanisms and anonymity effects in employer review systems have established new paradigms for understanding technology-mediated social interactions. Analysis of his recent publications reveals three dominant research trajectories: (1) computational analysis of social media and review systems using NLP/machine learning, (2) health IT applications focusing on chronic disease management and online support communities, and (3) theoretical advancements in IT innovation diffusion models. His work consistently demonstrates methodological rigor while addressing pressing societal challenges in digital health and organizational behavior. His scholarly contributions have been recognized through: Poets & Quants Top 50 Best Undergraduate Business School Professor (2021) Best Paper Award 1st Runner Up at AMCIS (2017) Doctoral Consortium Fellowship at ICIS (2016) While his teaching portfolio spans web mining, social network analysis, and advanced statistics, the available documentation provides no details regarding doctoral student mentorship, research grants, laboratory facilities, or collaborative research teams.
Cristian Morosan is a Professor at the University of Houston's College of Global Hospitality Leadership, specializing in information technology adoption and innovation within hospitality. With over 20 years of teaching experience and 30 years in the industry, he focuses on biometric systems, mobile technology, and digital transformation. Education: B.S. in Tourism and Services Management from University Stefan cel Mare (Romania), M.Sc. and Ph.D. in Foodservice and Lodging Management from Iowa State University Research Areas: His work spans technology ethics, digital marketing strategies, and operational innovation. Key projects include AI integration in hotel services, pandemic-related contactless systems, and consumer behavior analysis in digital hospitality environments. Scientific Contributions: Funded by the European Union and Hospitality Financial and Technology Professionals, he has published over 200 peer-reviewed works with 3,800+ citations. Notable awards include multiple research excellence and teaching innovation recognitions.
Dr. Roland Vogl serves as the Executive Director of CodeX - the Stanford Center for Legal Informatics and the Stanford Program in Law, Science and Technology, while also holding the position of Lecturer in Law at Stanford Law School. Additionally, he is a Visiting Professor at both the University of Vienna in Austria, where he teaches U.S. intellectual property law, and Bocconi University in Italy, where he teaches computational law. Dr. Vogl also serves on the Board of Directors for Merico, LexCheck, and IPNexus, and sits on the advisory boards of Thomson Reuters, Midpage.ai, Lawgood and Clairvolex. Dr. Vogl's educational background includes a Dr.iur. (JSD) and Mag.iur. (JD) from Leopold-Franzens University of Innsbruck, Austria, completed in 2002 and 1998 respectively, as well as a JSM from Stanford Law School earned in 2000. As a scholar, lawyer, and entrepreneur with over twenty years of academic and professional experience, Dr. Vogl has developed significant expertise in legal informatics, intellectual property law, and innovation. His work focuses on advancing legal technology through CodeX, which he co-founded and leads. He is actively involved in the legal tech industry and has been recognized as a legal innovator through his inclusion in the American Bar Association Journal's 'Legal Rebels' and selection as one of the Fastcase 50. His research bridges theoretical legal frameworks with practical technological implementations, particularly in computational law and legal informatics. Dr. Vogl's publications demonstrate a consistent focus on the transformative potential of technology in legal practice, with particular emphasis on computational approaches to legal problems, intellectual property in the digital age, and innovative legal frameworks for emerging technologies. His work spans academic scholarship, industry reports, and practical applications that address real-world legal challenges. American Bar Association Journal's 'Legal Rebels' Fastcase 50 honoree Dr. Vogl's career encompasses both academic and practical dimensions of legal innovation. He co-founded and served as CFOO of Vator, Inc. and SIPX, Inc., a copyright technology company acquired by ProQuest in 2015. His professional journey includes roles as an IP associate at Fenwick & West LLP, press associate at the European Parliament, and law clerk at the European Commission's Directorate General for Audiovisual Media, Information and Communication. These diverse experiences inform his interdisciplinary approach to legal technology. As Executive Director of CodeX, Dr. Vogl leads a dynamic center that serves as a nexus for legal informatics research and development. The center fosters collaboration between legal scholars, technologists, and practitioners working to advance the application of technology in law. Under his leadership, CodeX has hosted significant events including the FutureLaw Conference, which celebrated 20 years of legal-tech leadership with standing-room-only panels, hackathons, and international conferences that spotlight how technology is reshaping legal practice, policy, and access to justice.
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 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.
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.
Dr. Alexis Y. Dollion is an on-contract lecturer at Université de Rennes, France, teaching undergraduate courses in neurosciences and animal behaviors within the Department of Biology, Ecology & Ethology. He is affiliated with the ETHOS research laboratory, specifically the DEEP team (Development & plasticity: parental effects), where his research focuses on potential markers of positive emotions in Japanese quail (Coturnix japonica). Dr. Dollion's educational background includes a PhD focused on the evolution of rapid color change in chameleons and its role in sexual selection, using panther chameleons as a biological model. After his PhD, he worked as an engineer in experimental zoology at Université de Lille, followed by a Fyssen postdoctoral fellowship at Arizona State University where he investigated rapid color change in wild turkeys (Meleagris gallopavo). His research trajectory shows a consistent focus on color change across different taxa, beginning with chameleons during his PhD, moving to turkeys during his postdoc, and currently working with Japanese quail. His research generally focuses on animal coloration and its role in communication, with particular interest in rapid color change. He has developed expertise in using advanced color quantification techniques including multispectral and hyperspectral imaging and animal visual systems modeling to analyze dynamic color changes as perceived by animals. Dr. Dollion is dedicated to promoting interdisciplinarity and developing new methodologies in this emerging field. His work bridges behavioural ecology, evolutionary biology, animal physiology, and animal communication, with a special emphasis on understanding the function, contexts, information content, and evolutionary history of rapid color change. Dr. Dollion has received recognition for his work including a Fyssen postdoctoral fellowship. His research has been published in several peer-reviewed journals including The Science of Nature, Journal of Experimental Biology, Evolutionary Journal of the Linnean Society, and NeoBiota. His publication record demonstrates a progression from chameleon studies to broader applications in other taxa, showing how color change functions across different evolutionary lineages. Dr. Dollion also has a passion for scientific illustration, creating watercolor and other media artworks of various animals, often as gifts for friends, family, and colleagues. His artistic work includes detailed illustrations of panther chameleons, clownfish, red pandas, hippos, elephants, bats, and penguins, demonstrating his deep connection to the animal subjects of his research.
Vasos Vassiliou is an Associate Professor in the Department of Computer Science at the University of Cyprus and Founding Academic Member & Research Group Leader at the Smart Networked Systems (SNS) Multidisciplinary Research Group within the CYENS Research Center. His work focuses on systems and protocols for improving network performance, reliability, and security in next-generation communication systems (5G/6G), with a strong emphasis on distributed AI/ML techniques, device-to-device (D2D) networking, IoT security, programmable metasurfaces, and intelligent network resource management. Department of Computer Science, University of Cyprus CYENS Research Center, Cyprus His research spans multiple subfields including D2D communication (interference management, device discovery), IoT security (blockchain solutions, intrusion detection), network optimization (traffic prediction, power management), and programmable metasurfaces for advanced beam steering. Recent projects like ERMIS (3D Indoor Positioning), ADROIT-6G (DAI-driven architecture), and METACITIES (digital twins/metaverse) demonstrate his leadership in cutting-edge research. His publications reveal a strong focus on distributed intelligence , machine learning applications , and security protocols across wireless systems. He has supervised multiple PhD students to completion and actively contributes to IEEE/ACM as Senior Member. IEEE Senior Member ACM Senior Member Teaching responsibilities include core courses like Computer Networks and specialized postgraduate modules on IoT Networks .
Dr. Brendan Canavan serves as Assistant Professor in Marketing within the Department of Marketing, Tourism and Analytics at Nottingham University Business School, University of Nottingham. His academic trajectory bridges consumer culture theory with practical tourism sustainability applications, particularly focused on small island contexts where tourism economies face unique degrowth challenges. BSc, Lancaster University MSc, University of Nottingham PhD (2014), University of Nottingham PGHCE, University of Huddersfield Canavan's research centers on authenticity construction in postmodern/post-postmodern consumer landscapes, examining how digital communities, celebrity culture, and crisis events (like pandemics) reshape tourism experiences. His work reveals critical tensions between commercialization and existential fulfillment in destinations, with sustained focus on generational consumption patterns (Millennials/Gen Z) and small island vulnerability. Methodologically, he pioneers netnography and literary analysis to uncover nuanced consumer behaviors beyond traditional survey limitations. Analysis of his recent publications shows three dominant trajectories: (1) Theoretical advancement in authenticity frameworks across digital and physical spaces, (2) Empirical investigations into tourism degrowth on peripheral islands like the Isle of Man, and (3) Interdisciplinary exploration of pop culture's impact on consumer identity. His scholarship consistently connects philosophical concepts with urgent sustainability challenges, particularly highlighting how online communities negotiate ethical consumption amid authenticity crises.
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
Miriam Tekath is a Research Associate at the Center for Conflict Research (Zentrum für Konfliktforschung) at Philipps University of Marburg, working in Prof. Dr. Thorsten Bonacker's team. She currently serves as Research Coordinator at EUPeace (the European University for Peace, Justice, and Inclusive Societies) since May 2024 and previously held positions as Research Fellow at RWTH Aachen University (2023-2024) and as a political advisor in peace and conflict research since 2022. Academic Background: Certificate in Professional University Teaching (2023) Mediator certification with focus on non-violent communication (2018) MA in Peace and Conflict Studies, Philipps University Marburg (2016-2018) MA in Political Science: Democratic Governance and Civil Society, University of Osnabrück (2015-2019, with distinction) Bachelor in Political Science (Major) and French (Minor), University of Bremen (2011-2015, with distinction) Tekath's research sits at the intersection of political science and micro-sociology, examining social conflicts in societies polarized by secessionist movements. Her doctoral project investigates the meaning-making significance of politicized differences in everyday conflict interactions, using Quebec (Canada) and Casamance (Senegal) as empirical frameworks. She analyzes universities as micro-contexts of societal polarization, exploring how academic community members navigate the tension between politicization and cooperation. Her methodological expertise includes qualitative content analysis, group discussions, and situational analysis, with regional focus on Canada, Senegal, Francophone countries, and Southeast Europe. Analyzing her publication record reveals a consistent trajectory examining how social actors navigate politicized differences in polarized contexts. Her work demonstrates growing methodological sophistication in understanding the simultaneity of conflict and cooperation in academic settings within divided societies. A distinctive feature of her scholarship is the application of relational perspectives to everyday conflict interactions, particularly in educational institutions serving as microcosms of broader societal divisions. Scientific Recognition: DAAD International Conference Scholarship (2024) RWTH Aachen Early Career Support (2023) Marburg Research Academy Travel Grant (2023) DAAD Conference Funding (2022) DAAD Short-term Doctoral Scholarship (2020/21) International Council for Canadian Studies Scholarship (2020) Association for Canadian Studies Research Award (2018) Tekath has developed an extensive teaching portfolio in peace and conflict studies, including courses on institutional conflict regulation, relational dimensions of peace studies, and mediation in multicultural contexts. She pioneered innovative teaching methods like combining 'Elevator Pitch' with 'Speed-Dating' techniques to address complexity-reduction challenges in conflict education. As spokesperson for the 'Curriculum and Didactics' working group of the German Association for Peace and Conflict Studies since 2020, she has significantly influenced pedagogical approaches in the field. Her current leadership role at EUPeace represents the culmination of her trajectory from student research assistant (2014-2018) to Research Coordinator, demonstrating her growing influence in European peace education initiatives. Her ongoing doctoral work examining everyday conflict interactions in polarized societies positions her at the forefront of contemporary conflict research methodology.
Dr. Lucinda McKnight is a Senior Lecturer in Pedagogy and Curriculum at Deakin University, Melbourne, Australia. Her research focuses on the intersection of education, artificial intelligence, and contemporary writing pedagogy, funded by an ARC DECRA Fellowship (DE220100515). She co-chairs Turnitin's international Advisory Board on the Future of Writing and engages in media commentary on educational technology. PhD in Education (Deakin University) MA (Distinction) in Media Culture and Communication (Institute of Education) BA (University of Melbourne) Her work critically examines the role of generative AI in schools, advocating for curriculum modernization that preserves essential human skills like critical thinking and handwriting. She argues against over-reliance on AI, emphasizing ethical considerations, creativity, and teacher expertise. Recent publications analyze trends in AI adoption, including the Australian national AI framework, cognitive benefits of handwriting, and gender dynamics in single-sex vs co-educational settings. Her research underscores the need for balanced policies that protect educational integrity while leveraging technological opportunities. Scientific Recognition Australian Research Council DECRA Fellowship (DE220100515) McKnight actively collaborates with education policymakers and serves as a consultant for technology companies. Her advocacy for handwriting instruction highlights its role in motor skill development, memory, and wellbeing despite AI advancements. She critiques algorithmic bias, data privacy concerns, and the undervaluing of teacher expertise in edtech decision-making.
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.
Erik Albæk is a Professor of Political Science and Journalism at the Department of Political Science and Public Management, University of Southern Denmark. Previously, he held professorial roles at Aalborg University (1999-2005) and University of Aarhus (1987-2005). His research focuses on political journalism, media effects, economic news framing, and democratic engagement. Key research areas: Political Participation, Media Use, Gender Equality in Journalism, Comparative Politics Major grants: 'Communicating the Economy' (€786,666), Europeanization of Domestic Politics project, Morality Politics comparative studies Recent publications analyze gender neutrality in expert credibility, economic news impacts on consumer confidence, and generational media consumption patterns. Awards include the Millenium Star Award (2010) and Goldsmith Book Prize (2016) . Current activities involve peer review, editorial work, and international collaborations.
