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Rina DuttaView profile

Professor

• Self-harm
• Suicidal Behavior
• Social Media and Mental Health
• +3 more

Rina Dutta is a Professor in Psychiatry and Consultant Psychiatrist at King's College London, affiliated with the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) and the National Affective Disorders Service at the Maudsley Hospital. She holds leadership roles as Academic Career Development Lead for the NIHR Maudsley Biomedical Research Centre and inaugural Deputy Director of the King’s Clinical Academic Training Office (KCATO). Her research focuses on self-harm, suicidal behavior, and the impact of social media on youth mental health, leveraging natural language processing (NLP) and big data analytics. Dr. Dutta’s work bridges clinical practice and academic innovation, with a strong emphasis on training the next generation of researchers. Her studies include the 3S-YP cohort examining social media/smartphone use and self-harm in youth, and collaborations on perinatal self-harm identification via NLP. She has been recognized for her contributions to mental health data science and has engaged in public discourse through media platforms like BBC radio. Key awards include an MRC Doctoral Training Fellowship and a Clinician Scientist Fellowship from the Academy of Medical Sciences/Health Foundation. Her research has addressed critical topics such as bullying’s role in self-harm, autism spectrum disorder comorbidity risks, and temporal patterns in suicide support forum activity.

• Cognitive Neuroscience
• Comparative Behavioral Neuroscience
• Evolutionary Neurobiology
• +5 more

Dr. Uwe Mayer is an Associate Professor at the Center for Mind/Brain Sciences (CIMeC) and the Department of Cellular, Computational and Integrative Biology (CIBIO) at the University of Trento, Italy. His research focuses on the neurobiology of comparative cognition in birds, particularly examining hippocampal function, brain asymmetry, and neuronal mechanisms of behavior. 2019: Italian national habilitation to Associate Professor in Physiology 2012: PhD at University of Bielefeld, Germany 2008: M.Sc. in Systems Biology of Brain and Behavior 2006: B.Sc. in Biology His work includes studies on domestic chicks' hippocampal activation, numerical cognition, and social interactions using electrophysiology and molecular neurobiology. Research trends highlight avian spatial navigation, environmental exploration, and sensory processing. Scientific awards: Best poster at Avian Cognition Conference (2022) Best poster at DS DAY 2020 (2020) Best poster at DZG Annual Meeting (2012) Mayer serves as editorial board member for Frontiers in Behavioural Neuroscience and Frontiers in Physiology . He reviews for journals like Nature Communications and Neuroscience .

Brendon LarsonView profile

Professor

• Biodiversity Conservation
• Environmental Communication
• Invasive Species Management
• +3 more

Brendon Larson is a Professor at the Department of Environment and Resource Studies, University of Waterloo, Canada. His research focuses on the social dimensions of biodiversity conservation in the Anthropocene, emphasizing the intersection of ecological practices with cultural, ethical, and communicative frameworks. Research Interests: Reconceptualizing conservation, invasive species dynamics, assisted migration, novel ecosystems, metaphor analysis in environmental communication, and stakeholder engagement in urban-rural ecological management. Teaching: Offers an introductory ecology course and a field course on natural history at the Bruce Peninsula. Key Publications: Investigate invasive species management, climate adaptation strategies, and the role of language in shaping conservation discourse. His recent studies address: Pragmatic frameworks for invasive species in cities (2015) Empirical analyses of public and professional attitudes (2015) Novel approaches to ecological restoration (2015) Critical evaluations of metaphorical language in conservation (2014) While no specific scientific awards or student advisement details are mentioned, his work bridges ecological practice with social integration, policy clarification, and Indigenous perspectives.

Gilda M. AgacerView profile

Associate Professor

• Managerial Accounting
• Cost Accounting
• Governmental Accounting
• +6 more

Gilda M. Agacer is an Associate Professor in the Department of Accounting at Monmouth University, affiliated with the Leon Hess Business School. She holds a Ph.D. and MBA from the University of South Carolina and a B.A. from the University of the East, Philippines. Her academic work focuses on accounting education and ethical practices in accounting. Ph.D., University of South Carolina M.B.A., University of South Carolina B.A., University of the East, Philippines Her research interests include managerial accounting, cost accounting, governmental and not-for-profit accounting, ethics, environmental accounting, and assurance of learning. She has conducted cross-cultural studies on ethical decision-making and auditor independence, particularly in international contexts such as the Middle East and between the Philippines and the United States. The recent scholarly articles reflect a strong emphasis on ethics in business education and auditing practices across diverse cultural and regional settings. Her work bridges pedagogical assessment with real-world ethical challenges in accounting, contributing to both academic and professional discourse in emerging economies and comparative education. Scientific Awards: Service Award, Leon Hess Business School (2005) Teaching Award, Leon Hess Business School (2002) Summer Research Grants from the Leon Hess Business School Business Council (2004, 2006, 2008) Dr. Agacer has been actively involved in curriculum development and assessment, particularly in evaluating student learning outcomes in business education. Although no formal list of advisees is provided, her teaching portfolio includes key courses such as Managerial Accounting, Financial Accounting, and Accounting for Managers at both undergraduate and graduate levels. She has received institutional research support through multiple summer grants, indicating sustained scholarly engagement. There is no mention of formal research labs or collaborative teams, but her work appears to be individually and regionally focused, often presented at academic conferences like the Mid-Atlantic American Accounting Association and international forums in Berlin.

Gethin HughesView profile

Associate Professor

• Sense of Agency
• Metacognition
• Action Understanding
• +2 more

Dr Gethin Hughes is a Reader (equivalent to Associate Professor) and Head of Department in the Department of Psychology at the University of Essex. He joined the university in September 2012 after completing his PhD at Goldsmiths, University of London (2008) and postdoctoral positions at the University of Oxford and Université Paris Descartes. His leadership roles include Director of Education (2021-2024), Employability Development Director (2018-2019), and Director of Undergraduate Recruitment (2015-2017). His research spans five primary areas: Sense of Agency : Investigating the feeling of control over actions using behavioral, EEG, and brain stimulation methods, with implications for schizophrenia and autism Metacognition : Studying confidence in perception/action and links to anxiety/depression Action Understanding : Examining how object/person knowledge influences action interpretation via EEG/TMS Multisensory Integration : Exploring individual differences in sensory sampling rates and links to delusional beliefs Neurodiversity : Researching ADHD decision-making and autism communication differences His recent publications (2021-2025) demonstrate a strong focus on neural correlates of agency using EEG/TMS methodologies, with increasing emphasis on social cognition applications and clinical connections to schizophrenia spectrum disorders. Key trends include temporal binding window modulation, sensory attenuation mechanisms, and cross-population studies involving neurodivergent individuals. Dr Hughes actively supervises doctoral and master's students in psychology, with current advisees including Niharika Madala, Jamie-Louise Williams, and James Heffer. His successful supervision record includes 7 awarded PhDs and 2 MSc degrees since 2019, covering topics from autism communication to temporal perception. He secured research funding from the Bial Foundation (2019) for his "Sense of Agency in the Ouija Board Experience" project.

• Spatial Databases
• Big Spatial Data
• Location-Based Services
• +6 more

Mohamed F. Mokbel is a Professor at the University of Minnesota with a distinguished career in spatial databases and big spatial data management. His research spans over two decades with more than 260 publications in top-tier venues including ICDE, SIGMOD, VLDB, and GIS conferences. He has established himself as a leading researcher in trajectory data management, mobility data science, and scalable spatial processing systems. Dr. Mokbel's research interests focus on the intersection of spatial databases, big data, and machine learning. He has pioneered work in trajectory data management systems, developing frameworks like ST-Hadoop for processing spatio-temporal data at scale. His recent research explores the application of large language models to trajectory analysis, spatial data cleaning systems with spatial awareness, and innovative approaches to mobility data science. His work addresses fundamental challenges in handling massive spatial datasets while maintaining efficiency and accuracy. His publication record reveals significant trends toward integrating machine learning with spatial data management, particularly in trajectory imputation using BERT models (KAMEL system) and applying NLP techniques to trajectory analysis. Recent work shows increasing focus on urban mobility applications, privacy considerations in location data, and the development of specialized frameworks for processing different types of spatial data at scale. Dr. Mokbel has mentored numerous students who have become productive researchers in their own right, with many publications featuring students as first authors. His collaborative network is extensive, with frequent co-authorship with researchers like Walid G. Aref, Ahmed Eldawy, and Amr Magdy, indicating strong research group leadership. He has contributed significantly to the spatial database community through systems like RASED for monitoring OpenStreetMap updates, KAMEL for trajectory imputation, and Sparcle for spatial data cleaning. His work bridges theoretical database concepts with practical applications in transportation, urban planning, and location-based services.

• Quantitative Phase Microscopy
• Acoustic Microscopy
• Optical Imaging
• +5 more

Azeem Ahmad is a Researcher at the Department of Physics and Technology , UiT The Arctic University of Norway. His work focuses on advanced imaging techniques in ultrasound, microwaves, and optics , particularly in the areas of quantitative phase microscopy , acoustic microscopy , and photonic chip engineering . Key research areas: Quantitative phase imaging, acoustic wave modeling, biomedical diagnostics, interferometry, machine learning integration, and photonic device optimization Collaborative projects: Developments in label-free histology, super-resolution microscopy, and noise reduction algorithms Recent publications: 2025 studies on subsurface damage detection in ceramics and acoustic transducer modeling His work bridges optical engineering , biomedical applications , and computational imaging , with affiliations to the Ultrasound, Microwaves and Optics and Optical Nanoscopy research groups.

Ashutosh GuptaView profile

Associate Professor

• Formal Verification
• Software Verification
• Model Checking
• +7 more

Ashutosh Gupta is an Associate Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Bombay, where he has been a faculty member since 2018. His research focuses on formal methods for software verification, particularly in the areas of model checking, constraint solving, and automated reasoning for both sequential and concurrent programs. He teaches advanced courses including Automated Reasoning (CS433), Analysis of Concurrent Programs (CS766), and Logic for Computer Science (CS228). Dr. Gupta received his Ph.D. in Computer Science from Technical University of Munich (TUM) in 2011, with affiliations during his doctoral studies at TUM, Max Planck Institute for Software Systems (MPI-SWS), and École Polytechnique Fédérale de Lausanne (EPFL). Prior to joining IIT Bombay, he served as a faculty member at Tata Institute of Fundamental Research (TIFR) in Mumbai and completed post-doctoral research in the Henzinger group at IST Austria. His research interests span formal verification of sequential and concurrent software, modeling of biological systems, and constraint solving including constraint logic programming, decision procedures, and automated theorem proving. He has developed several verification tools including VAJRA, HSF, and InvGen. His work bridges theoretical foundations with practical applications, particularly in verifying safety-critical systems and biological processes. Dr. Gupta's publication record shows a consistent trajectory of high-impact research in top venues like POPL, CAV, TACAS, and AAAI. His recent work has expanded into neural network verification, reinforcement learning verification for medical devices, and applying formal methods to biological systems, demonstrating both depth in core verification techniques and breadth in application domains. Best Paper Award at TACAS 2015 Best Paper Award at TACAS 2009 Dr. Gupta actively mentors numerous students through course projects, research presentations, and specialized workshops like SATfest. He has supervised students working on SAT/SMT solvers, verification of concurrent programs, and applications of formal methods to biological systems. His teaching philosophy emphasizes hands-on experience with verification tools and encourages students to engage with cutting-edge research through reading and presenting recent conference papers. He maintains active research collaborations with institutions including TUM, MPI-SWS, EPFL, IST Austria, and TIFR, reflecting his continued integration into the international formal methods research community.

• Occupational health
• Quality of life at work
• Professional stress
• +7 more

Nadine Cascino is a Lecturer in Psychology at the University of Toulouse - Jean Jaurès, specializing within the Cognition, Languages, Ergonomics (CLLE) research unit. Her academic career spans over three decades, demonstrating evolution from social psychology of unemployment in the 1990s to specialized ergonomics research in high-stress work environments. Her research trajectory shows a progression from foundational work on unemployment psychology, examining self-esteem, work meaning, and career transitions among job seekers, toward increasingly specialized applications in occupational health and ergonomics. This transition reflects both continuity in her focus on work-related psychological phenomena and adaptation to emerging research needs in workplace safety and efficiency. Dr. Cascino's primary research interests include occupational health, quality of life at work, professional stress, workload assessment, and work-life balance. Her methodological approach is distinctly multidisciplinary, integrating psychophysiology, social psychology, and cognitive ergonomics to develop comprehensive assessments of work environments. She has made significant contributions to understanding how work organization impacts employee well-being, particularly in safety-critical industries like air traffic control. Her publication record demonstrates consistent scholarly output across multiple domains. Early work focused on unemployment psychology, while recent publications emphasize shift work organization and aerospace ergonomics. This evolution showcases her ability to apply psychological principles to increasingly complex work settings while maintaining focus on human factors and well-being. Methodological innovation in workload assessment Integration of multiple disciplinary perspectives Application to safety-critical industries Longitudinal research perspective spanning decades Dr. Cascino maintains a productive research partnership with Claudine Mélan, with whom she has co-authored numerous publications examining shift work, air traffic control, and workload assessment. Her work bridges theoretical psychology with practical applications for improving work organization and employee well-being, particularly in high-stress occupations.

Gaia LapomardaView profile

Researcher

• Affective Neuroscience
• Emotion Regulation
• Clinical Psychology
• +3 more

Dr. Gaia Lapomarda is a researcher at the Institute of Psychology, University of Innsbruck, based in the Department of Affective Neuroscience. Her work integrates neuroscience and psychology to explore how emotional states influence cognition and perception, with a strong focus on clinical applications. Research Interests: Affective neuroscience and emotion regulation mechanisms EEG-based biomarkers of emotional processing Neuroimaging of psychiatric disorders (bipolar disorder, borderline personality disorder) Impact of childhood trauma on brain structure and function Temporal perception and sensory processing under emotional states Her research bridges basic neuroscience with clinical psychiatry, employing advanced techniques like multimodal neuroimaging (mCCA+jICA), machine learning for biomarker discovery, and EEG-based investigations of neural oscillations. A recurring theme is how affective states modulate fundamental cognitive processes like time perception and visual processing speed. Key Findings from Publications: Dr. Lapomarda's work reveals altered thalamic-parahippocampal circuits in schizophrenia/bipolar disorder, demonstrates sustained EEG changes post-emotion regulation, and identifies structural brain patterns predicting trauma-related symptoms in borderline personality disorder. Her 2025 study on language comprehension adds a novel social dimension, exploring how perceived speaker identity influences sentence processing.

Agnes PfrangView profile

Professor

• Inclusive Primary School Didactics
• Heterogeneity and Difference in Primary School
• Initial Instruction and Transitions in Primary School
• +5 more

Prof. Dr. Agnes Pfrang serves as Dean of the Faculty of Education at the University of Erfurt since October 2021, while holding the Professorship for Primary School Pedagogy. She previously chaired the Doctoral Committee from April to July 2021 and is a member of the Extended Senate of the University of Erfurt from February to September 2024. Her academic career spans multiple leadership roles within the university's educational framework. Dr. Pfrang earned her Venia Legendi for Pedagogy in 2019 and completed her doctorate in Philosophy from the Faculty of Human Sciences at Julius-Maximilians-University of Würzburg in 2010. Her foundational education includes a Diploma in Education with focuses on sociology and psychology, as well as primary school teaching credentials with specialties in social studies, mathematics, German, and art, all from Julius-Maximilians-University of Würzburg (1999-2005). Her research centers on inclusive primary school didactics, heterogeneity and difference in primary school settings, initial instruction and transitions in primary education, and pedagogical childhood research. She investigates methodological and theoretical foundations of child research, teacher professionalization through learning workshops, and university teaching with digital concepts for internationalizing teacher training. Her work on pedagogical terminologies across languages demonstrates her international research perspective. Analysis of her recent publications reveals a strong focus on inclusive education, particularly examining learning atmospheres in heterogeneous classrooms, children's perspectives on educational experiences, and the relationship between teacher-student dynamics in inclusive settings. Her research consistently emphasizes participatory approaches, ethical considerations in diverse classrooms, and the importance of methodologically sound child-centered research. Prof. Pfrang actively contributes to academic service through memberships in the German Society for Educational Sciences (DfGE), specifically in Section 2 General Educational Science (Commission for Qualitative Educational and Biographical Research) and Section 5 School Pedagogy (Commission for Primary School Research and Primary School Pedagogy), as well as the German University Association (DHV). She serves as a reviewer for the Journal of Primary School Research (ZfG). Her current research projects include professionalizing future primary school teachers in university learning workshops, examining participation in inclusive teaching, studying pedagogical terminologies across languages in international collaboration, and conducting interview projects with students about their ideal school environments. These projects reflect her commitment to bridging theoretical knowledge with practical classroom application.

Monica RiordanView profile

Professor

• Computer-Mediated Communication
• Alignment/Coordination
• Cognition
• +3 more

Monica Riordan, Ph.D., is Professor of Psychology in the College of Arts & Sciences at Chatham University, where she has taught since 2012. Her scholarship focuses on computer-mediated communication, alignment and coordination processes, and cognition, with particular attention to emoji use, virtual-team dynamics, and multimedia pedagogy. Education Ph.D. in Psychology, University of Memphis, 2011 M.S. in Psychology, University of Memphis, 2008 B.A. in Psychology, University of Missouri–Columbia, 2007 B.A. in Sociology, University of Missouri–Columbia, 2007 Research Interests Dr. Riordan’s research investigates how people convey and interpret affect in digital environments. She examines emoji usage in workplace chat, the impact of multimedia assignments on student engagement, and the cognitive processes underlying alignment during online conversations. Her work bridges psychology, linguistics, and human-computer interaction to understand how subtle communicative cues function in technology-mediated contexts. Publication Trends Across more than two dozen peer-reviewed articles and chapters, Dr. Riordan’s recent work (2017-2024) demonstrates a consistent focus on three interlocking themes: (1) the pragmatic functions of emojis and GIFs in digital discourse, (2) pedagogical innovations using multimedia assignments in psychology education, and (3) the cognitive and social dynamics of alignment in computer-mediated communication. These studies collectively advance our understanding of how nonverbal cues are re-imagined in text-only or screen-mediated interactions. Scientific Awards No specific awards are listed in the provided materials. Advising & Grants No formal lists of students, grants, or funded projects appear in the text supplied. Laboratories & Teams No dedicated laboratory or research group names are mentioned.

• Affective Science
• Experience Sampling Methodology
• Psychopathology
• +5 more

Peter Kuppens is a Full Professor at the KU Leuven , affiliated with the Faculty of Psychology and Educational Sciences and the Quantitative Psychology and Individual Differences unit. He serves as Chair of the Education Committee for the Master of Psychology: Theory and Research program and is a member of the KU Leuven Brain Institute. His research focuses on emotion dynamics , experience sampling methodology , and attachment theory , with applications in psychopathology and mindfulness interventions . Current Projects : Developing tools for emotion measurement in daily life, studying affective dynamics in couples, and improving mobile sensing for mental health. Methodological Expertise : Experience Sampling Method (ESM), mobile sensing, and intensive longitudinal data analysis. Collaborations : Works with international researchers on cross-cultural emotion studies and clinical applications of ESM. Recent publications highlight advancements in continuous affect measurement , emotion detection , and peak-end effects in emotional experiences. He supervises PhD candidates in affective science and educational psychology, with a focus on emotional inertia , dyadic interactions , and societal influences on well-being . No scientific awards were mentioned in the provided data.

• Speech Neuroscience
• Neuroimaging
• Neuroanatomy

Jason Tourville is a Researcher at Boston University, focusing on speech motor control. He is affiliated with the Graduate Program for Neuroscience and the Center for Computational Neuroscience and Neural Technologies. His work integrates neuroimaging, computational modeling, and clinical research in speech disorders. B.A., Neuroscience, Oberlin College (1996) Ph.D., Cognitive and Neural Systems, Boston University (2008) Tourville’s research spans speech neuroscience, neuroimaging, and neuroanatomy, with emphasis on stuttering, autism spectrum disorder, and speech motor sequence learning. He utilizes fMRI, MRI, and computational models to investigate cortical mechanisms in speech production and disorders. His recent work explores functional connectivity subtypes in stuttering, neurodegenerative disease manifestations, and structural morphometry differences in speech-related brain regions. Awards include the Boston University Graduate Research Fellowship and Outstanding Teaching Fellow recognition. NIH R01 DC007683 (Investigator, 2011-2016) NIH R01 DC002852 (Investigator, 2011-2016) NIH R01 MH084029 (Consultant, 2009-2012)

Amirhosein BodaghiView profile

Researcher

• Social Media Analysis
• Rumor Spreading
• Data Mining
• +4 more

Dr. Amirhosein Bodaghi serves as a Researcher at Ulster University's School of Computing within the Faculty of Computing, Engineering and Built Environment, based at the Belfast campus (2-24 York Street, BT15 1AP). His research specializes in computational analysis of social media platforms, particularly Twitter and Instagram, with applications spanning political discourse, financial markets, and athletic communities. His core research domains include: Social Media Analysis : Advanced examination of user behavior, content propagation, and network structures across Twitter and Instagram ecosystems Rumor Spreading Dynamics : Development of open-source analytical tools (Rumor Categorizer, Fake News Graph Analyzer) for mapping misinformation diffusion patterns Financial Applications : Integration of natural language processing with social media news flow for market anomaly prediction Olympic Athlete Studies : Quantitative analysis of Instagram characteristics among gold medalists across multiple Olympic cycles Network Science : Application of graph theory to model information diffusion and user influence Analysis of his 15 most recent publications (2018-2024) reveals consistent methodological innovation combining big data processing, semantic analysis, and temporal graph modeling. His work demonstrates significant interdisciplinary reach—from examining quoting behavior during the 2020 US presidential election to developing twelve-year financial forecasting models using Twitter news channels—while maintaining technical rigor in data mining and network analysis. No documented scientific awards, student supervision activities, or grant funding details appear in current records. Similarly, specific laboratory affiliations or research team memberships remain unspecified in available institutional profiles.