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Gulsen Tore YarginView profile

Senior Lecturer

• User Experience (UX) Research
• Human-Centered Design
• Conversational Agents
• +7 more

Gulsen Tore Yargin serves as Senior Lecturer in Design and Innovation Strategy at Brunel Design School within Brunel University London's College of Engineering, Design and Physical Sciences. Previously, she held Assistant Professor of Industrial Design position at Middle East Technical University where she directed the METU/BILTIR-UTEST Product Usability Unit. Her academic journey includes postdoctoral research at University of Cambridge Engineering Design Centre following a PhD focused on user research communication methodologies. PhD: Effective Communication of User Research Findings (University of Cambridge postdoctoral work) Postdoc: Engineering Design Centre, University of Cambridge Assistant Professor: Middle East Technical University (Industrial Design) Dr. Tore Yargin's research spans human-centered design in emerging technologies with emphasis on UX research methods, conversational agents, sensor-based innovations, and wellbeing design. Her work bridges academic theory with industry applications across white goods, home electronics, automotive, and defense sectors. Recent publications demonstrate methodological innovation in remote research during crises, animal-computer interaction, and voice interface design for diverse populations. Analysis of her 15 most recent publications reveals strong interdisciplinary trends connecting design theory with psychology, animal behavior, and public health. Key thematic clusters include pandemic-adapted research methodologies (2020-2023), animal laterality studies (2023-2024), and conversational agent design for elderly populations (2023). Her work consistently applies human-centered principles to novel contexts while developing new measurement frameworks. No scientific awards are currently documented in available sources. Dr. Tore Yargin has secured multiple research grants including TÜBİTAK-funded projects on remote UX research during COVID-19 and canine stress behavior analysis, plus industry collaborations with Arcelik-Beko on voice interfaces. Her co-author network spans veterinary science, psychology, and design fields including Dr. Dominik Havsteen-Franklin and Dr. Cristina Asenjo Palma. Current projects focus on technology-mediated human-canine interactions and remote research methodologies. Her research operates through interdisciplinary collaborations rather than dedicated physical labs, with emphasis on field-based studies in domestic and public settings. Current work explores canine wellbeing through non-invasive measurement techniques and voice interface adoption in emerging markets.

Vicki KnightView profile

Assistant Professor

• Applied Behaviour Analysis
• Autism Spectrum Disorder
• Developmental Disabilities
• +5 more

Vicki Knight is an Assistant Professor in Special Education at the University of British Columbia , with over 20 years of experience in autism spectrum disorder (ASD) education. She serves as Director of the Centre for Interdisciplinary Research and Collaboration in Autism (CIRCA) and works closely with students across undergraduate, graduate, and doctoral levels. Research Focus: Promoting STEM learning for students with ASD and developmental disabilities Key Methods: Single-case research, applied behavior analysis, technology-based interventions With over 40 peer-reviewed publications, Dr. Knight’s work evaluates inclusion strategies in STEM and disseminates evidence-based practices. She contributes to editorial boards of journals including the Journal of Special Education and Focus on Autism and Other Developmental Disabilities . Selected Scientific Contributions: 2019 Research Award, Council for Exceptional Children Division of Autism and Developmental Disabilities Board Certified Behavior Analyst (BCBA) credential Her publications highlight video prompting, coding education, and general curriculum access. She trains educators internationally and explores collateral benefits of inclusive education environments.

Ahmed Ehab AbdelsalamView profile

Researcher

• Virtual Reality Applications in Architecture and Urban Design
• Digital Creativity
• Qualitative Research in User Experience
• +3 more

Dr. Ahmed Ehab Abdelsalam is a Postdoctoral Research Associate in Digital Creativity at Loughborough University, specializing in Virtual Reality (VR) applications for architecture and urban design. He holds a PhD in Architecture Design-Social Science from the University of Nottingham, where his research focused on resilient design for London’s elevated social spaces using interactive VR co-design methods. His academic journey includes roles such as Hourly Paid Lecturer at Nottingham Trent University, Studio Tutor at the University of Nottingham, and Assistant Lecturer at The British University in Egypt, emphasizing design communication and urban planning education. His research interests span Virtual Reality applications in architecture, sustainable vertical urbanism, and community participation in design. Key areas include immersive co-design for public engagement, AI-integrated VR systems, and qualitative user experience studies. He advocates for sustainable design approaches in hyper-density cities and has explored post-pandemic urban green spaces and cognitive experiences in elevated public spaces. Dr. Ehab’s work integrates advanced VR workflows with generative AI and gamification techniques, aiming to enhance public participation in architectural design. He is affiliated with the Design for Future Living research group and actively contributes to the development of digital twins and empathic modeling tools. His teaching experience includes mentoring postgraduate urban design students and delivering undergraduate architecture courses. While no formal awards are listed, his contributions to immersive technology and sustainable urban development reflect a commitment to innovative, community-centric design solutions.

Antal van den BoschView profile

Professor

• Computational Linguistics
• Machine Learning
• Artificial Intelligence
• +6 more

Antal van den Bosch is a Professor of Language, Communication, and Computation at Utrecht University’s Faculty of Humanities. He also serves as Board Member and Domain Chair for Social Sciences and Humanities at the Dutch Research Council (NWO). His career includes roles as Director of the Meertens Institute (KNAW) and professorships at Radboud University and Tilburg University. His research focuses on machine learning and computational linguistics, particularly Generative AI and Large Language Models. He emphasizes interdisciplinary collaboration, exploring intersections between AI and societal challenges like governance and cultural heritage. Education: Ph.D. in Advanced Computing Sciences at Maastricht University. Key affiliations include guest professorships at the University of Antwerp’s CLiPS and fellowships with EurAI and the Royal Netherlands Academy of Arts and Sciences. Research Interests: Generative AI and LLMs Language Technology Cultural AI Social Implications of AI Historical Language Analysis Articles Trends: Recent work addresses AI governance, societal impacts of generative models, and computational methods in humanities research. Projects like Better-Mods and Cultural AI Lab highlight applied AI for societal benefit. Awards: Vici Grant (NWO), KULAK Francqui Chair, and membership in prestigious academic societies. Advising & Grants: Supervises over 20 Ph.D. students. Leads projects on AI moderation tools, cultural heritage digitization, and digital humanities infrastructure. Notable grants include NWO-funded Better-Mods and Horizon 2020 initiatives like HiTiME and TwiNL. Labs/Teams: Active in CLARIAH, Nederlab, and the Digital Humanities Lab (KNAW). Software contributions include Frog (Dutch NLP suite), T-Scan, and Colibri Core.

Ioli CamposView profile

Assistant Professor

• Media Literacy
• Digital Media
• Journalism
• +13 more

Ioli Campos is an Assistant Professor at the Faculty of Human Sciences, Católica University of Portugal, and a researcher at the Research Centre for Communication and Culture (CECC). Her work bridges academia and professional practice, with a focus on media literacy, digital media, journalism, and youth engagement with technology. Education: PhD in Digital Media, Portugal Collaborative Program (The University of Texas at Austin and Nova University of Lisbon) Master’s in Journalism, Nova University of Lisbon Fulbright Visiting Scholar, The University of Texas at Austin Her research centers on media literacy, children’s interactions with digital media, algorithms, chatbots, and influencers, as well as innovative storytelling in journalism and environmental reporting. She investigates how young audiences perceive news and digital content, with a strong emphasis on gender, ethics, and education. Her work contributes to UN Sustainable Development Goals, particularly in education and global citizenship. The analysis of her recent publications reveals a consistent focus on digital media’s societal impact, especially on youth. She explores AI, chatbots, media narratives, and educational interventions across diverse formats including book chapters, reports, and peer-reviewed articles. Her research is interdisciplinary, combining communication, psychology, and education. Scientific Awards: Reportage Award from the United Nations National Committee for the 50th Anniversary of the Human Rights Declaration Honour Mention in Environmental Reporting from the Portuguese Sustainable Cities Association Campos has supervised graduate students and led research activities, including serving as national Principal Investigator in EU-funded projects with budgets up to €600,000. She has extensive experience in national and international research consortia and has consulted for organizations such as the OSCE and the Council of Europe. She actively contributes to academic discourse through conference organization and invited talks. She is a key member of CECC, where she collaborates on interdisciplinary projects related to communication and digital culture. Her recent project 'Comunicação e Inteligência Artificial: Perspetivas multidisciplinares' (2023–2025) exemplifies her engagement with cutting-edge topics in AI and media.

Afsaneh RaziView profile

Assistant Professor

• Human-Computer Interaction
• Social Computing
• Human-centered AI
• +6 more

Afsaneh Razi is an Assistant Professor at the Department of Information Science at Drexel University's College of Computing & Informatics (CCI), where she co-directs the DONUTS (Data Ontology Networks Users Textuality Safety) Collaboratory and directs the ETHOS (Ethical Technology Helping Our Society) Lab. Her research is positioned at the intersection of Human-Computer Interaction (HCI), Social Computing, AI/ML, Privacy, and Online Safety, with a focus on designing technologies that facilitate safer online interactions, especially for vulnerable populations. Education: PhD, Computer Science, University of Central Florida MS, Computer Science, University of Central Florida MS, Software Engineering, Islamic Azad University Central Tehran Branch BS, Computer Science, University of Tehran Dr. Razi's research focuses on the sociotechnical complexities of online harms, leveraging human-centered machine learning to understand and mitigate risks encountered by vulnerable users online. Her work spans Human-Computer Interaction with emphasis on youth populations, Social Computing examining online communities, AI/ML applications for safety, and Ethics in technology design. She is particularly interested in how AI can balance protection and privacy for young people on social media, and how to develop trauma-informed research practices when studying sensitive topics. Her recent publications consistently focus on youth online safety, examining sexual risk experiences, AI-induced harassment, and AI's role in peer support. The research employs mixed methods combining qualitative insights with machine learning approaches, with significant attention to Instagram and other social media platforms to understand how young people navigate online risks through human-centered AI solutions. Scientific Awards: Impact Recognition Award (2023) for 'Sliding into My DMs' paper Best Paper Honorable Mention at CHI'24 (two papers) Faculty Summer Research Award at Drexel University (2023) Science Center Health Equity Research Fellowship Award (2023) NSF CSGrad4US Fellowship for mentee Jessica Medina (2023) Dr. Razi actively mentors PhD students in the DONUTS Collaboratory, including Elham Aghakhani, Layla Bouzoubaa, Sanonda Datta Gupta, Matt Namvarpour, and Aria Pessianzade. She has secured multiple research grants, including Drexel's Faculty Summer Research Award to investigate AI's role in teens' online safety and the Science Center Health Equity Research Fellowship for studying social determinants of health for people with epilepsy. Her research is highly interdisciplinary, collaborating with experts across psychology, medicine, and computer science. Dr. Razi co-directs the DONUTS Collaboratory with Drs. Shadi Rezapour and John S. Seberger, which brings together faculty and PhD students to research online safety, ethics, and AI governance. She also directs the ETHOS Lab focused on ethical technology development. The DONUTS team includes multiple PhD students working on projects related to harm reduction, NLP, social computing, AI, and online safety. Dr. Razi is additionally involved in the MOSafely community, an open-source initiative leveraging evidence-based research and AI to help youth engage more safely online.

Arminda Guerra LopesView profile

Professor

• Human-Computer Interaction
• Social Informatics
• Interaction Design
• +4 more

Arminda Guerra Lopes is a Professor at the Polytechnic Institute of Castelo Branco, Portugal, with 25 years of academic service. She holds a PhD in Human-Computer Interaction from Leeds Metropolitan University (UK) and maintains a research fellowship at the Interactive Technologies Institute (ITI/LARSyS) in Portugal. Her institutional leadership includes roles as School Vice Director and President of scientific/pedagogical boards. Her research focuses on human-centered technology design, with expertise in: Social informatics and collaborative systems Human-Work Interaction Design (HWID) Creativity support tools Quality-of-life technologies AI-human interaction paradigms She maintains active international collaborations across Europe and Asia. Recent publications (2017-2023) demonstrate strong focus on AI interactions, workplace systems, and accessibility solutions, with recurring themes of pilot implementation studies, artistic interfaces, and wellbeing technologies. Her work frequently employs mixed-methods approaches bridging technical development with human behavioral analysis. Dr. Guerra leads research teams exploring affective computing, augmented reality navigation, and game-based learning, with projects involving multisensory installations, gesture recognition systems, and community information platforms.

Vasanth SarathyView profile

Academic

• Artificial Intelligence
• Natural Language Processing
• Neuro-symbolic Machine Learning
• +7 more

Vasanth Sarathy is a Research Assistant Professor of Computer Science at Tufts University, specializing in the intersection of Artificial Intelligence and Natural Language Processing. His work combines neuro-symbolic machine learning techniques with social and cognitive sciences to develop socially-competent and safe AI systems. Education: Ph.D. in Computer Science and Cognitive Science, Tufts University (2020) Juris Doctor (J.D.), Boston University School of Law (2010) M.S. in Electrical Engineering and Computer Science, MIT (2005) B.S. in Electrical Engineering, University of Arkansas (2003) His research spans three interconnected themes: Social NLP, Reasoning with Social Norms, and Sense-making and Problem-Solving. Through Social NLP, he develops computational methods to uncover patterns in human social behavior using qualitative texts. His work on Reasoning with Social Norms focuses on building AI architectures that can understand and apply social norms in reasoning and language interpretation. His Sense-making research explores how humans and AI systems simplify complex worlds for efficient problem-solving. His recent publications demonstrate a growing trend toward integrating Large Language Models with symbolic reasoning for more trustworthy AI. His work spans applications including automated writing assistance, intelligent tutoring, fact-checking, social media content moderation, and embodied social robots. His research shows particular strength in developing methods that combine neural and symbolic approaches to address complex social reasoning tasks that neither approach could solve alone. Previously, Dr. Sarathy worked as a Senior Researcher of AI at Smart Information Flow Technologies, collaborating with the U.S. Department of Defense and Intelligence Community. Before his AI career, he practiced intellectual property law at Ropes and Gray for nearly a decade. His unique interdisciplinary background bridges technology, law, and cognitive science. He advises students in AI, NLP, and cognitive systems, with research supported by grants from DARPA and other government agencies. His work has applications in human-robot interaction, social media analysis, and educational technologies. Outside academia, he creates single-panel cartoons, practices martial arts, plays chess, and designs puzzle video games. His interdisciplinary journey from law to AI has been featured in a BU Law article.

Mihwa ParkView profile

Assistant Professor

• STEM Education
• Science Instruction
• Educational Technology Integration
• +5 more

Mihwa Park is an Assistant Professor in the Department of Curriculum and Instruction at Texas Tech University, specializing in STEM education. With a decade of middle school science teaching experience in South Korea and dual master's degrees in physics and science education, she earned her doctorate in Science Education from the University at Buffalo. Her research focuses on integrating assessments with educational technologies to enhance conceptual understanding in science, particularly through interactive computer simulations. Education: Dual Master’s in Physics & Science Education (South Korea), Doctorate in Science Education (University at Buffalo) Current Role: Assistant Professor, Department of Curriculum and Instruction, Texas Tech University Her research explores formative assessment strategies in STEM classrooms, emphasizing data-based decision making and the application of computer models. Recent projects analyze achievement emotions in physics education, cross-disciplinary energy concepts, and the use of simulation-based assessments. Her publications demonstrate a consistent focus on leveraging technology for deeper conceptual understanding and improving teacher practices through data analytics. Key Research Areas: STEM Education, Physics Learning, Educational Technology, Formative Assessment, Cross-Disciplinary Science

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.

Melissa OcepekView profile

Assistant Professor

• Everyday information behavior
• Information behavior
• Cultural theory
• +6 more

Melissa Ocepek is an Assistant Professor at the School of Information Sciences , University of Illinois at Urbana-Champaign. She holds a PhD in Information Studies from the University of Texas at Austin and a B.A. in Political Science and Sociology from Pepperdine University. Education: PhD in Information Studies (UT Austin), B.A. in Political Science and Sociology (Pepperdine) Her research focuses on everyday information behavior using cultural and critical theory frameworks, with a unique emphasis on food studies and ethnography. She explores how people interact with information in mundane contexts like grocery shopping and leisure activities, often employing shadowing and participant observation methods. Recent publications analyze serendipity in bookshops, sensory grocery shopping behaviors, and historical food advertising. She has co-authored two books: Food in the Internet Age and Formal and Informal Approaches to Food Policy with William Aspray and George Royer. Her 2019 INTERACT paper won a Best Paper Award. Scientific Awards: Best Paper Award Winner, INTERACT 2019 Ocepek teaches courses like Libraries, Information and Society (IS510AC) and Independent Study (IS589MGO). She collaborates internationally on misinformation governance and has contributed to studies on food-buying behavior during the COVID-19 pandemic. Her work bridges library science with informatics through her Faculty Affiliate role in Illinois Informatics.

• Counselling Psychology
• Psychotherapy
• Emotion
• +3 more

Prof. Júlia Kanovská Halamová is a Professor of Psychology at the Institute of Applied Psychology, Faculty of Social and Economic Sciences, Comenius University in Bratislava. She holds a PhD in Psychology from Comenius University and has been a registered psychotherapist since 2007. Her academic career includes roles as Head of the Institute of Applied Psychology (2020–2024), and prior positions as Associate Professor (2014–2019) and Assistant Professor (2001–2013). She maintains a private psychotherapy practice and has extensive training in emotion-focused therapy (EFT), compassion-focused therapy, and systemic psychotherapy. Education: 2001 PhD in Psychology, Faculty of Arts, Comenius University 1998 Master’s in Psychology, Faculty of Arts, Comenius University Research Interests: Counseling psychology, emotion regulation, self-compassion interventions, and community psychology. Her work emphasizes translating theoretical frameworks (e.g., compassion-focused therapy) into clinical and community-based applications. She leads research on cross-cultural self-compassion measurement and therapeutic outcomes for diverse populations, including individuals with intellectual disabilities. Grants & Projects: Lead investigator of the Testing the effect of intercultural aspects of compassion (VEGA 1/0075/19) Organized international community psychology conferences (2015–2019) under APA Division 27 Recipient of Norway grants for emotion-focused family therapy training (2015) Labs/Teams: Active in the Institute of Applied Psychology and collaborates with global networks like the International Society for Emotion-Focused Therapy and the Slovak Psychotherapeutic Association. Her work integrates clinical practice with research on compassionate living and emotion-focused training methodologies.

Vanessa FigueiredoView profile

Assistant Professor

• Human-Computer Interaction
• Educational Technology
• Human-AI Interaction
• +3 more

Vanessa Figueiredo is an Assistant Professor in the Department of Computer Science at the University of Regina. She directs the ExplorAI Research Group, focusing on human-centred intelligent systems for education and gaming. Her research bridges human-computer interaction, cognitive psychology, and artificial intelligence to create adaptive learning technologies. Research areas include: Intelligent tutoring systems for personalized education Conversational agents promoting critical thinking in children Procedural generation of game narratives using LLMs User-friendly interfaces for non-technical users Her team collaborates with educators and learners through qualitative fieldwork and controlled experiments to design technologies for K-12, higher education, and informal learning contexts. Current projects explore NPC dialogue generation and homework support systems.

Rui BritesView profile

Visiting Associate Professor

• Values
• Happiness
• Subjective Well-being
• +5 more

Rui Brites is a Visiting Associate Professor at the School of Economics and Management (ISEG) of the University of Lisbon, where he teaches Research Methods and Techniques, and Quantitative and Qualitative Data Analysis. He holds a PhD (2011) and Master’s (1993) in Sociology from ISCTE-Instituto Universitário de Lisboa, along with a Bachelor’s (1991) in the same field. PhD in Sociology (2011), ISCTE-Instituto Universitário de Lisboa Master's in Organizational Sociology (1993), ISCTE-Instituto Universitário de Lisboa Bachelor's in Sociology (1991), ISCTE-Instituto Universitário de Lisboa His research focuses on Values, Happiness, Subjective Well-being, Social Classes, Education, Methodology of Social Sciences, Gender Differences, and Social Stratification . He has participated in dozens of research projects as a methodologist and serves as an Associate Researcher at CIES-Iscte (Center for Research and Studies in Sociology). His work bridges sociological theory with practical applications in education and consumer behavior. Rui Brites has published in diverse fields, including higher education assessment , basic and secondary education monitoring , and consumer segmentation in retail . His 2011 journal article in the European Journal of Education examines student satisfaction, while his 2011 report analyzes educational policies in Portugal. Earlier works (2006) explore marketing strategies in direct selling. He has advised one Master’s student ( Catarina Martins Lopes ) and served as Coordinator for Computer-Assisted Content Analysis (2011–2014). As a MAXQDA Professional Trainer, he also contributes to methodological training. Contact: rui.brites@outlook.com .

Rachel Michelle MageeView profile

Assistant Professor

• Social Sciences
• Social Media Analysis
• Information Interaction
• +3 more

Rachel Michelle Magee is an Assistant Professor at the University of Illinois's School of Information Sciences and an affiliate of the Center for Social & Behavioral Science. Her research focuses on social media discourse, information interaction, youth behavior, and connected learning frameworks. Magee employs qualitative methods to explore themes such as climate change communication, digital divides, and teen technology regulation. She has contributed to over 21 scholarly works, including studies on pandemic-era youth information practices and frameworks for youth co-research projects. Her work bridges social sciences, education, and technology, emphasizing practical applications in public libraries and educational systems. Current research trends include analyzing emotional resonance in climate narratives and evaluating pedagogical strategies for youth empowerment through collaborative research. Key collaborations include studies with institutions like the ACM Conference on Computer Supported Cooperative Work (CSCW). Her research has been widely read on platforms like Mendeley, indicating significant academic engagement. Magee has not yet reported specific grants or awards in the provided materials, though her work demonstrates sustained scholarly impact through citations and reader interest.