Find Academic Supervisors

• Journalism
• Communication Technology
• Social Media
• +3 more

Yee Man (Margaret) Ng is an Associate Professor in Journalism and the Institute of Communications Research at the University of Illinois. She combines data science methodologies with communication research to study social media dynamics, digital journalism, and technology adoption patterns. Her research interests include: Computational social science Social media analytics Data visualization techniques Communication technology impacts Journalism innovation Post-adoption technology behavior Ng's methodology integrates big data analysis, machine learning algorithms, and traditional survey/experimental approaches. Current work extends diffusion of innovations theory by examining social media users' discontinuance and readoption behaviors. Academic contributions span both empirical research and educational practice. She has taught courses like: JOUR 460 - Data Storytelling JOUR 410 - Data Storytelling for Journalism JOUR 425 - Multimedia Editing and Design JOUR 199 - Hands-on Media Technology Her publications analyze topics ranging from YouTube's recommendation algorithms to digital sustainability in news media, with particular focus on: Platform migration patterns Algorithmic content moderation Political communication dynamics Media technology adoption Regional web usage differences Incivility measurement techniques

Susan CharlesView profile

Professor

• Emotional Processes
• Health and Emotion
• Aging
• +3 more

Susan Charles is a Professor in the Department of Psychological Science at the University of California, Irvine. She holds a Ph.D. from the University of Southern California. Her research focuses on emotional processes across the adult lifespan, particularly how affective experiences interact with cognitive and health-related processes. She investigates the interplay between physical health factors (behavior and status) and emotional regulation, emphasizing age-related variations in these dynamics. Her work spans topics including daily stress reactivity, loneliness, cortisol rhythms, cognitive functioning, and the psychological impacts of aging during crises like the COVID-19 pandemic. She leads the Emotion Research Lab ( http://sites.uci.edu/emotionresearchlab/ ), where she explores longitudinal changes in stress management strategies and their effects on well-being. Recent studies highlight activity diversity and social engagement as protective factors for mental and physical health in older adults. Her research also addresses sociodemographic disparities in psychological well-being, including race/ethnicity and socioeconomic status. Notable contributions include the Strength and Vulnerability Integration (SAVI) model, which explains emotional aging dynamics. While no formal advisees or part-time status are explicitly stated, her publications reveal collaborations with researchers like G. Luong, J.R. Piazza, and D.M. Almeida.

Raymond H. CuijpersView profile

Associate Professor

• Cognitive Robotics
• Human-Robot Interaction
• Socially Assistive Robotics
• +5 more

Raymond H. Cuijpers is an Associate Professor at Eindhoven University of Technology in the Human Technology Interaction group. His research focuses on Cognitive Robotics , Human-Robot Interaction , and Artificial Intelligence for cognitive agents, with applications in healthcare robotics and aging population support. PhD in Physics of Man from Utrecht University (2000) Postdoctoral research at Erasmus MC Rotterdam and Radboud University Nijmegen Key research areas include: Developing socially intelligent robots with proper social cue interpretation Hybrid AI approaches for real-world complexity handling Visual-haptic perception integration in human motor control Service robots for COPD patient assistance (KSERA project) Rescue robotics and tele-operation applications Recent research output (2025) includes studies on: Personalization in human-robot communication Optimal lighting for elderly visual perception Human-robot bonding mechanisms Interactive sensorized platforms for homecare (GUARDIAN) Audiovisual temporal integration in virtual environments He coordinates large-scale European projects like GUARDIAN and previously KSERA, contributes to sustainable development goals through healthcare robotics, and serves on editorial boards of leading journals including International Journal of Social Robotics . His work spans both technical robotics development and human-centric interaction studies.

Ian GotlibView profile

Professor

• Psychopathology
• Developmental Psychology
• Clinical Psychology
• +5 more

Ian Gotlib is the Marjorie Mhoon Fair Professor and Director of the Stanford Neurodevelopment, Affect, and Psychopathology (SNAP) Laboratory at Stanford University . He previously served as Senior Associate Dean for the Social Sciences (2005-2010) and Chair of the Psychology Department (2012-2018). Research Focus: Psychobiological factors in depression and suicidal behaviors, neurodevelopmental effects of early life stress, and protective processes in psychopathology. Grants: Funded by NIH, PHIND, National Health Research Development Program, and Medical Research Council of Canada. Honors: Fellow of APA, APS, and American Psychopathological Association; Past President of Society for Research in Psychopathology. Publications: Over 500 scientific articles and several books, including the Handbook of Depression (3rd edition).

Avniel Singh GhumanView profile

Associate Professor

• visual cognition
• neural dynamics
• face recognition
• +6 more

Dr. Avniel Singh Ghuman is an Associate Professor in the Department of Neurological Surgery at the University of Pittsburgh School of Medicine. He serves as Director of the Cognitive Neurodynamics Lab and plays a key role in advancing MEG (Magnetoencephalography) Research at the university. His work bridges clinical neurosurgery with fundamental neuroscience research to understand visual perception mechanisms. Dr. Ghuman's educational background includes: BA in Math and Physics from The Johns Hopkins University (1998) PhD in Biophysics from Harvard University (2007) Postdoctoral training at the National Institute of Mental Health Dr. Ghuman's research focuses on how the brain transforms visual input into meaningful perception of objects, faces, words, and social images in real-world contexts. His laboratory employs both invasive (intracranial EEG) and non-invasive (MEG) techniques to examine the spatiotemporal dynamics of neural activity during visual processing. The lab integrates multivariate machine learning methods, network analysis, and direct neural stimulation to investigate information processing at both local brain regions and distributed network levels. Recent work has pioneered methods for studying brain activity during authentic social interactions and natural behavior. His publication record demonstrates significant contributions to understanding real-world face perception, neural dynamics during natural behavior, and the application of advanced analytical techniques to brain imaging data. His research has revealed how brain network dynamics form a 'punctuated equilibrium' of stable states with transitory bursts between them, coinciding with behavioral shifts in everyday activities. Dr. Ghuman has received notable recognition for his work: Young Investigator Award from NARSAD (2012) Award for Innovative New Scientists from the National Institute of Mental Health (2015) His research has been featured in prominent media outlets including MIT Technology Review, The Wall Street Journal, and Carnegie Mellon University publications. As Director of the Cognitive Neurodynamics Lab, Dr. Ghuman leads a research program that has advanced our understanding of how the brain processes visual information in real-world environments, with implications for both fundamental neuroscience and clinical applications.

Ke ChenView profile

Senior Lecturer

• Machine Learning
• Artificial Intelligence
• Computational Cognitive Science
• +9 more

Dr. Ke Chen is a Senior Lecturer in the School of Computer Science at The University of Manchester, leading the Machine Learning and Perception (MLP@UoM) Lab. His research focuses on machine learning, deep learning, reinforcement learning, and their applications in intelligent systems, computer vision, and audio/speech processing. He has supervised over 50 PhD students and holds editorial roles in journals like Neural Networks and IEEE Transactions on Neural Networks . Dr. Chen has received awards such as the NSFC Distinguished Principal Young Investigator Award (2001) and JSPS Research Award (1993). Education: PhD in Computer Science (1990), with academic positions at institutions including Peking University, The Ohio State University, and Kyushu Institute of Technology. His professional activities include roles in IEEE Computational Intelligence Society committees and external examiner roles at universities like Essex. Research interests span computational cognitive systems, biometric authentication, and video game AI. Key contributions include advancements in deep architectures, reinforcement learning, and speaker-specific feature extraction. His lab, MLP@UoM, explores topics like explainable AI and transfer learning. Recent publications (2024) include work on goal-conditioned reinforcement learning and bias-resilient algorithms. He is actively involved in international conferences, serving as a keynote speaker and program committee member.

Julie Stone PetersView profile

Professor

• Law and Humanities
• Human Rights
• Film, Media, and Visual Studies
• +3 more

Julie Stone Peters is the H. Gordon Garbedian Professor of English and Comparative Literature at Columbia University, with affiliations at Columbia Law School and Queen Mary University of London. She holds a BA from Yale, a PhD from Princeton, and a JD from Columbia. Her research bridges law, performance, and media history, focusing on the intersection of legal systems and cultural practices across eras. She directs Academic Careers Advising for Columbia PhD students and co-chairs the Theatre and Performance PhD program. Peters has authored influential works like *Law as Performance* and *Theatre of the Book*, earning accolades such as the ACLA’s Harry Levin Prize. Her current projects include *The Video and the Law* and collaborative work on 'Fragments for a History of the Legal Body.' Her research spans legal theatricality, human rights, and media’s role in shaping legal narratives. Awards include Guggenheim, Fulbright, and Humboldt fellowships. Peters teaches widely, including at Harvard and the Metropolitan Detention Center, and co-edits the Cambridge Elements in Legal Humanities series.

Maryam Meghdadi EsfahaniView profile

Researcher

• Cognitive Science
• Natural Language Processing
• Discourse Processing
• +1 more

Maryam Meghdadi Esfahani serves as a Researcher in the Department of Computer Science and Computational Linguistics at Saarland University. Since October 1, 2024, she has been working within Prof. Vera Demberg's research group as part of the prestigious ERC-funded project "Individualized Interaction in Discourse". Her research sits at the critical intersection of Cognitive Science and Natural Language Processing, with particular focus on how individual cognitive differences affect discourse comprehension and production. She investigates neural and computational mechanisms underlying human language processing to develop more adaptive communication systems. Meghdadi Esfahani contributes to cutting-edge research in computational linguistics and cognitive modeling through the ERC project, which aims to create discourse models capable of adapting to individual users' cognitive profiles. This work has significant implications for personalized educational technologies and conversational AI systems that require nuanced understanding of human language processing variations. She collaborates within Prof. Demberg's research ecosystem that bridges theoretical linguistics with practical applications in human-computer interaction, working from her office at Campus C7 2, Room 3.08 in Saarbrücken, Germany.

Greg CutterView profile

Professor

• Biogeochemistry
• Aquatic Systems
• Trace Element Cycling
• +7 more

Greg Cutter is a Professor in the Department of Ocean and Earth Sciences at Old Dominion University, serving as Interim AVP for Research Compliance. His research focuses on biogeochemical processes linking biology and chemistry in aquatic systems, with expertise in trace element cycling, sulfur gas dynamics, and global change impacts. He holds a Ph.D. in Chemistry from the University of California, Santa Cruz (1982) and a B.A. in Chemistry from UC San Diego (1977). Education: Ph.D. Chemistry, University of California, Santa Cruz (1982) B.A. Chemistry, University of California, San Diego (1977) Research Interests: Dr. Cutter investigates processes affecting trace element speciation (e.g., arsenic, selenium, hydrogen sulfide) in marine and estuarine systems. Key areas include air-sea exchange of trace elements, paleoceanographic tracers, and analytical methodologies for aquatic chemistry. His work integrates field studies, lab experiments, and computer modeling. Grants & Awards: Recipient of the R&D 100 Award (2013) for innovative technologies and the ASLO Sustaining Fellow designation (2015). Over 50 grants include leadership in the international GEOTRACES program, studying trace element distributions in ocean basins. Labs & Collaborations: Directs the Cutter Laboratory, advancing research on biogeochemical cycles. Collaborates globally on projects like the Pacific Meridional Transect (GP15) and Arctic GEOTRACES studies. Engages in educational initiatives to diversify ocean science.

Iti ChaturvediView profile

Lecturer

• Signal Processing
• Artificial Intelligence
• Social Media Analysis
• +5 more

Iti Chaturvedi is a Lecturer in the Department of Information Technology at James Cook University (JCU). She holds a Ph.D. in Computer Engineering from Nanyang Technological University, Singapore. Her research focuses on signal processing and AI applications in social media, including emotion recognition, speech analysis, and sentiment analysis. She has been recognized as a Top 2% Most Cited Researcher globally (2022) and received the JCU CSE Early Career Researcher Award (2020). She teaches courses such as Machine Learning and Data Science, Programming III, and Design Thinking I. Current research projects include sentiment prediction from social media (since 2020). She serves as an Associate Editor for the Expert Systems journal (2023) and has been an ARC Assessor (2020). Key contributions include work on speech emotion recognition, constrained manifold learning for videos, and multimodal emotion recognition systems. Her research outputs span journals like Expert Systems , Signal Processing , and conferences including IJCNN and AAAI.

Pedro FerreiraView profile

Professor

• Business Model Innovation
• Cultural Management
• Digital Display Systems
• +3 more

Pedro Ferreira is a Professor at Iscte Business School, ISCTE - IUL, Lisbon, Portugal. His academic work spans multiple disciplines including business model innovation, cultural management, digital display systems, and consumer behavior. Key research areas: Business Model Innovation, Cultural Management, Digital Display Systems Interdisciplinary work: Healthcare Management, Energy Efficiency, Sensory Marketing Notable collaborations: Rock in Rio, Ferreira's de Castro Cultural Complex His publications demonstrate ecosystem-based approaches to cultural economics, with applications in virtual reality exhibitions and sustainable business practices. Recent work focuses on technology integration in perfume exhibitions and energy efficiency strategies. Earlier research includes pharmacological studies on P2X7 receptors in colitis and foundational financial accounting textbooks. He has analyzed group buying systems in Portugal and explored intersections between management theory and art. Academic contributions span 45 years, with a 2024 patent on digital display systems and a 1979 report on tomato industry economics. Current affiliations include: Iscte Business School ExecED at ISCTE INDEG-ISCTE Edifício INDEG-ISCTE, Lisbon

Jacob WhitehillView profile

Associate Professor

• Applied Machine Learning
• Speech and Speaker Recognition
• Educational Data Mining
• +3 more

Jacob Whitehill is an Associate Professor in the Department of Computer Science at Worcester Polytechnic Institute (WPI), affiliated with the Learning Science & Technologies (LST) program. His research focuses on applying machine learning to education and human-computer interaction, including speech recognition, emotion analysis, and automated classroom observation. He leads the NSF-funded project Developing New Scientific Instruments for Classroom Observation and collaborates on the AI Institute for Student-AI Teaming (iSAT) . His research interests span Applied Machine Learning (e.g., multi-modal systems, speaker diarization), AI for Education (e.g., automated instructional evaluation, child speech recognition), and Emotion Recognition (e.g., affective computing in classrooms). Recent work emphasizes classroom observation tools and improving student-teacher interaction analysis through video and audio data. Notable projects include: NSF-funded classroom observation tools AI Institute for Student-AI Teaming (iSAT) Schmidt Futures-funded Hybrid Human-Agent Tutoring for math education His team includes PhD students Xinlu He (Data Science), Jiani Wang (Computer Science), and Yiwen Guan (Computer Science), along with visiting scholar Cecilia Tivir. He advises students on topics like speaker recognition, educational data mining, and computer vision in classroom settings. Grants and collaborations include NSF, Schmidt Futures, and industry partnerships. His lab develops tools for automated feedback on teaching practices, leveraging LLMs and multimodal data. For more details, contact jrwhitehill@wpi.edu .

• Cognitive Psychology
• Neuroscience
• Visual Perception
• +3 more

Yelda Semizer Kaplan is an Assistant Professor at the New Jersey Institute of Technology within the College of Humanities and Social Sciences . Her research intersects cognitive psychology and visual neuroscience, focusing on fundamental mechanisms of human perception and attention. Specializes in temporal integration and ensemble perception Investigates peripheral vision limitations in complex tasks Develops computational models of maze-solving cognition Key research themes analyze how visual clutter affects search performance, how temporal dynamics influence attentional blink, and how spatial configurations impact cognitive processing. Her work has been featured in Journal of Vision and Attention, Perception & Psychophysics , with collaborations across neuroscience and human factors domains. Media engagement highlights include contributions to NJIT's Research Institutes Showcase (2021) and Cyberpsychology Seminar Series (2021). Current work explores mental maze-solving mechanisms through novel behavioral paradigms.

• Educational Psychology
• Positive Psychology
• Student Wellbeing
• +5 more

Geetanjali Basarkod is a Senior Research Fellow at the Institute for Positive Psychology and Education within the Faculty of Education and Arts at Australian Catholic University. Her research spans educational psychology, positive psychology, and student wellbeing, with a focus on understanding how academic self-concept, social-emotional skills, and intercultural factors influence educational outcomes. Her research interests primarily center on academic self-concept formation, particularly through the lens of the Big-Fish-Little-Pond Effect and related psychological comparison processes. She investigates how students' perceptions of their academic abilities are shaped by their educational environments and social contexts. Her work also explores social-emotional skills, mindfulness, and intercultural education as factors influencing student wellbeing and academic success. She frequently employs cross-national analyses using large datasets like PISA to examine these phenomena across diverse educational systems. Analysis of her recent publications reveals a strong focus on how contextual factors shape academic self-perception and wellbeing. Her work demonstrates consistent application of self-determination theory and social comparison frameworks across multiple educational contexts. She has made significant contributions to understanding how school composition affects individual outcomes, how gender equality interacts with wellbeing, and how social-emotional skills translate to academic and life success. While no specific awards are mentioned in the available materials, her extensive publication record in top-tier journals across educational psychology, developmental psychology, and social psychology demonstrates significant scholarly impact. Her work appears in journals such as Journal of Personality and Social Psychology, Educational Psychology Review, and Learning and Instruction. Dr. Basarkod collaborates extensively with a research network including Herbert Marsh, Philip Parker, Theresa Dicke, and Jiesi Guo, among others. Her research often involves large-scale, cross-national datasets and sophisticated statistical approaches to address complex questions in educational psychology. Her Six Ways to Well-Being (6W-WeB) framework represents a significant contribution to wellbeing measurement and theory.

Monica Franco-SantosView profile

Professor

• Organizational Governance
• Performance Management
• Executive Compensation
• +4 more

Dr. Monica Franco-Santos is a Reader in Organisational Governance at Cranfield School of Management, Cranfield University (UK). She serves as a visiting professor at ESADE (Barcelona, Spain) and teaches across MBA, MSc, PhD, DBA, and executive education programs. Her work bridges academia and industry through the Centre for Business Performance. PhD in Management from Cranfield School of Management MSc in Organizational Behaviour and Human Resources Management from University of Barcelona BSc in Economics and Business Administration from Universidad Autónoma de Madrid Her research focuses on organizational governance systems, specifically examining performance measures, reward structures, and their behavioral implications. Current projects investigate how measurement diversity affects decision-making and the interaction between governance mechanisms and human resource management. Funded by EPSRC, CIMA, Investors in People, and Leadership Foundation. Recent studies analyze performance measurement in top management teams (2024), customer-oriented sales behavior (2023), and identity-based benefits design (2021). Earlier work examines systemic performance management consequences (2018) and cross-sector measurement effectiveness (2004–2017). She contributes to management literature through publications in journals like Academy of Management Proceedings , British Journal of Management , and Corporate Governance: An International Review , with systematic reviews of executive compensation (2012) and performance measurement systems (2003). As part of Cranfield's Centre for Business Performance, she develops frameworks for organizational performance measurement and investigates the interplay between strategic metrics, human resource practices, and corporate governance structures.