Raquel Fernández is Full Professor of Computational Linguistics and Dialogue Systems at the University of Amsterdam, where she leads the Dialogue Modelling Group at the Institute for Logic, Language & Computation (ILLC). As Vice-Director for Research at ILLC and a Fellow of the ELLIS Society, she bridges computational linguistics, cognitive science, and artificial intelligence through her research on language use in multimodal and conversational contexts. PhD in Computational Linguistics from King's College London Prior research positions at University of Potsdam and Stanford University's CSLI Her work explores how cognitive constraints, social interaction, and perception shape language use, with a focus on: Visually-grounded language processing Multimodal dialogue modeling Model uncertainty and calibration Language grounding in multimodal data Language learning and semantic change Dialogue reference resolution Recent publications analyze multimodal reasoning limitations, cross-lingual knowledge consistency, and uncertainty modeling in dialogue systems. She has received multiple accolades including an ERC Consolidator Grant , NWO VENI/VIDI/Aspasia fellowships , and EMNLP/GenBench awards . Outstanding Paper Award (EMNLP 2023) Best Data Award (GenBench Workshop 2023) ELLIS Society Fellow ERC Consolidator Grant #819455 recipient NWO VENI/VIDI/Aspasia awardee As a leader in academic service, she serves on the SIGDAT Executive Committee and chairs multiple conference committees. Her lab develops models for multimodal dialogue, visual storytelling, and grounded language understanding.
Brent W. Roberts is a Professor of Psychology at the University of Illinois , affiliated with the Social-Personality-Organizational Division. He serves as Chair of the Social and Behavioral Sciences Research Initiative and holds the Edward William and Jane Marr Gutgsell Professorship. Education: Ph.D. in Personality Psychology (1994), University of California, Berkeley Research focuses on personality development across adulthood, personality assessment (especially conscientiousness ), and personality-health relationships . Methodologically, he emphasizes IRT and contextualized assessments. Scientific contributions include: Over 235 research outputs Highly Cited Researcher (Thomson Reuters 2016-2017) Key publications on BESSI, CONIC model, and longitudinal personality analysis Award-winning scholar: J. S. Tanaka Dissertation Award (1995) Carol & Ed Diener Mid-Career Award Theodore Millon Mid-Career Award Henry Murray Award Honorary Doctorate, University of Basel As academic advisor, he has mentored numerous graduate students and postdoctoral fellows in personality psychology, with lab alumni now at institutions like University of Houston and Carleton University.
Susan J. Simkins is a Professor of Psychology at The Pennsylvania State University, where she serves as Lead of the CTSI-Team Science Core and is based in Moore Building at University Park. Her contact details include email sxm40@psu.edu and phone (814) 863-7387. Education Ph.D., Ohio State University, 1996 Research Interests Dr. Simkins' research centers on effective teamwork and performance through three interconnected streams: team composition/diversity (examining demographic, cognitive, and personality-based diversity within contingency frameworks), team cognition/mental models (focusing on shared understanding of tasks and teamwork dynamics), and temporal integration in teams (investigating time-based diversity, temporal leadership, and pacing styles). Her work emphasizes individual differences, cognitive processes, and temporal dynamics as critical determinants of team effectiveness in organizational contexts. Publication Trends Her 2013-2017 publications reveal a strong focus on temporal dimensions of teamwork, including polychronicity diversity, temporal conflict in specialized teams (e.g., culinary environments), and time-sensitive mental models. Key methodological approaches involve multilevel analysis and contingency frameworks, with applications spanning leadership theory, decision-making diversity, and climate interactions. Work appears consistently in top organizational psychology journals like Journal of Applied Psychology and Organizational Behavior and Human Decision Processes. Scientific Awards No scientific awards were documented in the provided text. Advising and Grants While the text confirms her faculty role and research leadership, specific details about graduate student advising, grant funding, or sponsored projects were not included in the source material. Labs and Teams Dr. Simkins leads the CTSI-Team Science Core, an initiative dedicated to advancing methodologies for studying team-based research structures and improving collaborative effectiveness in scientific and organizational settings.
Dr. Jillianne Code is an Associate Professor at the University of British Columbia's Faculty of Education, Department of Curriculum & Pedagogy, directing the ALIVE Research Lab. Her work focuses on learner agency, educational technologies, and social media's impact on student success. Specializes in immersive virtual environments for assessment Researches self-regulated learning and formative feedback Investigates health education through digital interventions Her recent publications examine pandemic-era educational transitions, digital literacy in teacher training, and cognitive tools in virtual reality. She has received Outstanding Paper Awards for her work on immersive assessment. Dr. Code leads research projects on learning analytics, student engagement in digital spaces, and technology education sustainability. Her work bridges educational theory with practical interventions through digital badges, mobile health applications, and 3D learning environments.
Padhraic Smyth is a Distinguished Professor and Hasso Plattner Endowed Chair in Artificial Intelligence at the University of California, Irvine (UCI), holding joint appointments in the Department of Computer Science and Department of Statistics. He leads the DataLab research group, focusing on machine learning, AI, and their applications in climate science, healthcare, and education. His research spans probabilistic modeling, deep learning, and human-AI collaboration. Education: PhD in Electrical Engineering from the California Institute of Technology (1988), MSEE (1985), and BEng (1984). Prior to UCI, he worked at NASA's Jet Propulsion Laboratory (1988–1996). Research Interests: Machine learning, AI, pattern recognition, Bayesian methods, climate science applications, algorithmic fairness, and human-AI interaction. He has published over 200 papers and co-authored textbooks like Modeling the Internet and the Web . Awards: ACM Fellow, IEEE Fellow, AAAI Fellow, AAAS Fellow, and ACM SIGKDD Innovation Award recipient. He has held leadership roles in UCI's Center for Machine Learning and Data Science. Key Projects: Human-AI collaboration frameworks, robustness in deep learning, climate modeling using spatio-temporal data, and AI fairness with missing attributes. Collaborates with institutions like NASA and industry partners (e.g., Google, eBay). Labs/Teams: Director of UCI’s Data Science Initiative and HPI Research Center in Machine Learning. Supervises a vibrant PhD program with over 30 alumni in academia and industry.
Dr. Megan Renna is an Assistant Professor in Clinical Psychology at the University of Southern Mississippi. She earned her Ph.D. in Clinical Psychology from Columbia University's Teachers College and completed a postdoctoral fellowship funded by the National Cancer Institute at Ohio State University Comprehensive Cancer Center. Her research focuses on the bidirectional relationship between psychological and physical health, particularly how emotion regulation and negative emotionality contribute to chronic disease risk in breast cancer survivors and healthy adults. Education: Ph.D. in Clinical Psychology (2019) and M.Ph. (2018) from Teachers College, Columbia University Training: Predoctoral internship at Duke University Medical Center Her work bridges clinical psychology, psychophysiology, and behavioral medicine through studies on inflammation, autonomic dysfunction, and cancer survivorship. Recent publications examine metabolic syndrome, smartwatch body composition metrics, and couples' health dynamics. Key research themes include stress reactivity, emotion regulation therapy, and biobehavioral pathways linking mental states to physiological outcomes. Dr. Renna teaches Advanced Psychopathology and can be reached at Megan.Renna@usm.edu. Her methodological expertise spans experimental worry inductions, longitudinal studies, and psychometric scale development, with a focus on reducing distress disorders through emotion regulation interventions.
Qimin Liu is an Assistant Professor at Boston University, serving as Lab Director of the Quantitative Psychopathology Laboratory. He holds a PhD in Psychological Sciences from Vanderbilt University with specializations in Clinical Science and Quantitative Methods. His research focuses on emotional disturbances across development, statistical methodology development, and health equity with an emphasis on intersectional marginalization. He has expertise in analyzing intensive longitudinal data and has published extensively on topics like irritability, suicidality, and mental health disparities among sexual and gender minority populations. Dr. Liu’s work frequently integrates advanced statistical techniques such as latent variable modeling, network analysis, and machine learning. His recent studies explore the temporal dynamics of affect, the impact of stigma on mental health, and the role of childhood adversity in psychiatric outcomes. Notable contributions include developing methods for analyzing zero-inflated longitudinal data and creating algorithms for digital phenotyping of mood disorders through mobile device usage patterns. His scholarship emphasizes bridging clinical phenomena with rigorous quantitative approaches, addressing gaps in understanding how social determinants and individual differences shape mental health trajectories. He has collaborated on large-scale datasets like the Collaborative Psychiatric Epidemiological Surveys and contributed to interdisciplinary research on public health outcomes among aging sexual minority men. Dr. Liu’s methodological innovations include the DACF framework for ceiling/floor effect data and the lamme package for log-analytic multiplicative effects modeling. He actively publishes in high-impact journals such as Psychological Methods and Journal of Abnormal Psychology , focusing on both empirical findings and statistical best practices.
Dr. Kelsey A. Bonfils is a Nina Bell Suggs Endowed Professor and Assistant Professor in the School of Psychology at the University of Southern Mississippi, where she directs the Social Cognition & Recovery in Schizophrenia (SCORS) Lab. Her academic journey includes a PhD and MS in Clinical Psychology from Indiana University-Purdue University Indianapolis, and a BS from the same institution. Dr. Bonfils' research focuses on social cognition mechanisms in schizophrenia-spectrum disorders, examining contributing factors like sleep disturbance and developing interventions to improve recovery outcomes. Her work spans clinical psychology applications for adults with serious mental illness, psychosis risk, and emotion regulation processes. She maintains active professional affiliations with the American Psychological Association, Society for Research in Psychopathology, and International Society of Interpersonal Psychotherapy. Her publication portfolio demonstrates strong research trends in: Social cognition and metacognition in psychotic disorders Sleep-psychopathology relationships Innovative psychotherapies for serious mental illness Mental health disparities and treatment accessibility Veterans' mental health services Dr. Bonfils has received the distinguished Nina Bell Suggs Endowed Professorship recognizing her contributions to clinical psychology research. She teaches graduate and undergraduate courses including Abnormal Psychology, Clinical Psychology Practicum, and Adult Psychotherapy. At the SCORS Lab, Dr. Bonfils leads research on social cognitive processes and recovery-oriented interventions for individuals with schizophrenia-spectrum disorders, with current projects investigating sleep-social cognition interactions and metacognitive therapies.
Rick Hoyle is a Professor of Psychology and Neuroscience at Duke University, where he serves as Associate Chair of the Department of Psychology and Neuroscience. He is also a Faculty Network Member of the Duke Institute for Brain Sciences. His academic career spans decades, with significant contributions to understanding self-regulation and adolescent development. Dr. Hoyle earned his B.A. from Appalachian State University (1983), followed by an M.A. (1986) and Ph.D. (1988) from the University of North Carolina, Chapel Hill. He progressed from Assistant to Associate to Full Professor at the University of Kentucky from 1989 to 2003 before joining Duke University. His research focuses on how adolescents and emerging adults manage goal pursuit through self-regulation, taking a broad view that accounts for personality, environment, cognition, emotion, and social influences. He employs longitudinal methods with repeated assessments, sometimes spanning years with data collection multiple times per year, or intensive studies with assessments several times daily. His lab develops innovative measurement tools including self-report measures of self-control and grit, as well as unobtrusive approaches using mobile phones and wearable devices to track goal pursuit in natural settings. His recent publications reveal a strong focus on self-regulation in digital contexts, adolescent substance use, socioeconomic influences on development, and innovative measurement approaches. His work increasingly integrates technology (social media analysis, wearable devices) with traditional psychological research methods to understand real-world behavior. Fellow, Association for Psychological Science (2013) Dr. Hoyle has secured numerous research grants totaling millions of dollars, including the current Real-Time and Randomized Tests of Social Media and Mental Health Links in Early Adolescence (2024-2029), NCCU Duke - Substance Use Research & Education (2024-2029), and Mid-Life Health Inequalities in the Rural South: Risk and Resilience (2023-2028). His grant portfolio demonstrates sustained funding for research on adolescent development, substance use, self-regulation, and health disparities. He teaches advanced courses including Applied Structural Equation Modeling and Psychology and Neuroscience Grant Writing, mentoring the next generation of researchers in quantitative methods and research design. His work through the Center for the Study of Adolescent Risk and Resilience (2008-2025) has established a significant research infrastructure for longitudinal studies of adolescent development. Current projects examine social media effects on mental health, substance use patterns, and the impact of environmental factors on adolescent well-being using innovative digital tracking methods.
Dr. Zara Ersozlu is a Senior Lecturer in Mathematics Education within the School of Education at the University of Newcastle, Australia. With a distinguished international career spanning multiple continents, she has held academic positions at prestigious institutions including North Carolina State University (USA), Gazi and Gaziosmanpasa Universities (Turkey), National Taiwan Normal University (Taiwan), The University of Western Australia, Murdoch University, and Deakin University. Her academic journey includes tenured positions as an Associate Professor and leadership roles as Department Head and Chair in teacher education disciplines. Currently, she teaches undergraduate and postgraduate courses in mathematics education, including Effective Pedagogies in Primary Mathematics, K-6 Mathematics, K-6 Numeracy, and Digitally Supported Learning. Dr. Ersozlu earned her Doctor of Philosophy from Firat University in Turkey and her Master of Art from Sakarya University. Her extensive academic preparation is complemented by five years of practical teaching experience in public schools prior to entering academia. This blend of theoretical knowledge and practical classroom experience informs her approach to teacher education and educational research. At the broadest level, Dr. Ersozlu's research investigates solutions to real-life problems impacting people's well-being, success, and capacity to achieve. Her scholarly work spans primary and secondary mathematics education, the psychology of mathematics (including metacognition, self-regulation, and anxiety), cross-cultural educational studies, teacher education, virtual simulated learning environments, and educational assessment. She has increasingly focused on the transformative potential of AI and machine learning in education, exploring how these technologies alter teaching, learning, and research processes. Her methodological expertise encompasses both quantitative and qualitative approaches, allowing her to effectively analyze both small and large educational datasets. Analysis of Dr. Ersozlu's recent publications reveals a strong emphasis on mathematics anxiety, teacher education, and the integration of technology in learning environments. Her work demonstrates a consistent focus on practical applications of educational research to address real-world challenges in mathematics education. The interdisciplinary nature of her research connects educational psychology, technology integration, and cross-cultural perspectives, with particular attention to how these elements intersect in teacher preparation and student learning outcomes. 2023 ATEA Research Recognition Award from the Australian Teacher Education Association 2021 Fellow of the Higher Education Academy (Advance HE, UK) 2010 Fellowship Program for Postdoctoral Researchers from the Council of Higher Education of Turkey Dr. Ersozlu is deeply committed to mentoring the next generation of scholars, currently supervising four PhD students and having successfully guided ten students to completion. Her grant portfolio includes significant funding for projects such as Best Practice Guidelines for RPL in Initial Teacher Education Programs ($60,000), Exploring the Reciprocal Relationship Between Mathematics Anxiety and Mathematical Resilience ($2,599), and multiple conference travel awards. She serves as an Associate Editor for several prominent journals including the International Electronic Journal of Mathematics Education and as Editor for Interdisciplinary STEM Education. Her editorial work reflects her standing as a respected voice in mathematics education research. Dr. Ersozlu's academic leadership extends to her role in developing innovative teaching approaches that integrate virtual simulation technology and learning analytics. Her work with TeachLivE™, a mixed-reality classroom simulation platform, demonstrates her commitment to creating authentic learning experiences for teacher education students. Through these initiatives, she bridges the gap between educational theory and classroom practice, preparing future educators to effectively implement evidence-based teaching strategies in diverse learning environments.
Tomiko Yoneda is an Assistant Professor in the Department of Psychology at the University of California, Davis. Her research focuses on understanding how personality traits, social relationships, and lifestyle factors influence health and cognitive outcomes in older adults. She employs interdisciplinary methods, including longitudinal studies and coordinated data analyses, to explore topics like personality-cognition links, social determinants of health, and aging disparities. Dr. Yoneda is also committed to fostering inclusive academic environments and mentoring students from diverse backgrounds. Her work spans multiple domains: (1) Personality dynamics in aging, examining traits like neuroticism and conscientiousness as predictors of health and longevity; (2) Social relationships' impact on physiological health (e.g., cortisol regulation in couples); and (3) Cross-cultural studies of aging in Japan and North America. Notable contributions include systematic reviews on personality-allostatic load relationships and meta-analyses linking personality to mortality risks. Received EDITOR'S CHOICE recognition in Psychoneuroendocrinology (2024) and Journal of Personality and Social Psychology (2022) Principal investigator of the Yoneda Lab at UC Davis Dr. Yoneda emphasizes translational research that bridges psychological and biomedical perspectives. She collaborates internationally on projects analyzing cognitive healthspan, dementia risk factors, and interventions to promote healthy aging. Her teaching focuses on lifespan development and research methodologies.
Dr. Daniel J. Bauer is a Professor and Director of the Quantitative Psychology Program and L.L. Thurstone Psychometric Laboratory at the University of North Carolina at Chapel Hill. His research focuses on advancing quantitative modeling techniques for studying negative social behaviors, health outcomes, and psychopathology, with expertise in generalized and nonlinear latent variable models, including multilevel models, structural equation models, and mixture models. His work emphasizes methodological innovations such as Bayesian regularization, measurement invariance evaluation, and the integration of deep learning with psychometrics. Bauer advises doctoral students in quantitative psychology and collaborates with developmental psychology programs. He leads the Thurstone Laboratory, one of the oldest quantitative psychology training programs in the U.S., emphasizing rigorous methodological training and applications in behavioral sciences. Bauer’s research trends span computational advancements in latent variable analysis, regularization for bias detection, and dynamic modeling of developmental processes. His advising includes over a dozen doctoral students now in academia and industry roles. He contributes to labs and initiatives like the Center for Developmental Science, advancing interdisciplinary research in psychological measurement and intervention evaluation.
Dr. Bimlesh Wadhwa is an Associate Professor in the Department of Computer Science at the National University of Singapore (NUS) and serves as Assistant Dean for Student Life at Tembusu College. She holds dual affiliations as a Residential Fellow at Tembusu College and an active member of the School of Computing's academic community. Her work bridges software engineering, human-computer interaction (HCI), and computing education. Dr. Wadhwa's research focuses on gender issues in HCI, software design quality, and digital well-being. She has pioneered initiatives like the Code for Community program to bring computing education to underserved groups. Her pedagogical contributions include developing courses on object-oriented design, software engineering principles, and interaction design. She actively engages with professional communities through roles such as Faculty Representative at the Singapore Computer Society Student Chapter and advisor to the Computing Club at NUS. Her recent work addresses pressing societal challenges like technology-facilitated sexual violence and integrates AI into educational contexts. She has organized major competitions including CodeXtreme and the Singapore Science and Engineering Fair, fostering innovation among students. Her interdisciplinary collaborations span healthcare applications, smart city technologies, and educational equity initiatives. Dr. Wadhwa’s scholarly contributions include over 80 publications in top venues such as FSE, CHI, and IEEE conferences. She has co-edited book chapters for Springer and Wiley on HCI and informatics, reflecting her commitment to advancing both technical and societal dimensions of computing. In addition to her academic roles, she leads MakerLab initiatives and contributes to national educational policies on computational thinking. Her work emphasizes bridging academia-industry gaps through projects like the GEAR mobile game-assisted rehabilitation system and cloud service brokerage frameworks.
Magnus Liebherr is a Professor at the University of Duisburg-Essen , focusing on Technology Acceptance , Artificial Intelligence , and Sustainable Transportation . His work bridges Business Administration with Human-Computer Interaction , exploring how users adapt to emerging technologies like autonomous vehicles and AI systems. Key research areas include: Acceptance of AI applications in mobility Business model development for climate-neutral transportation Cognitive and psychological factors in technology interaction Digital media effects on adolescent well-being Trust calibration in automated systems His recent publications examine Large Language Model dependency , gamified language learning , and mental workload metrics for autonomous vehicles. While no formal awards are listed, his interdisciplinary work spans psychology , engineering , and business strategy .
Luis Botella Garcia Del Cid is a Full Professor at the Department of Psychology and Speech Therapy, Faculty of Psychology, Educational Sciences and Sports, Ramon Llull University. His work focuses on therapeutic alliance, constructivism, and clinical psychology. University: Ramon Llull University School: Faculty of Psychology, Educational Sciences and Sports Department: Psychology and Speech Therapy Email: lluisbg@blanquerna.url.edu His research spans therapeutic alliance, psychometrics, constructivist approaches, and clinical psychology. He investigates therapist personal style, team solutions in psychotherapy, and adolescent interactions with social media influencers. His recent projects include ACM Psicopersona and Proceso Terapéutico funded by AGAUR. Key publications (2022-2023) address dyadic coping during the pandemic, fuzzy cognitive mapping in clinical supervision, and teamwork in psychotherapy. Articles span interdisciplinary collaborations across 27 countries with a focus on psychological distress and relationship quality. He collaborates with the Psicopersona research group and participates in systems-thinking-based clinical models. His work integrates constructivist theory with practical applications in therapeutic contexts and adolescent digital behavior.
