Dr. Samita Arora is an Assistant Professor in the Department of Early Childhood Education at George Mason University , part of the College of Education and Human Development (CEHD). Her work focuses on early childhood education for diverse learners, special education, and inclusive curricula. She teaches courses such as Introduction to Early Childhood Special Education , Medical and Developmental Aspects of Disabilities , and Family-Centered Assessment . Dr. Arora's expertise spans language and literacy development in young learners, assessment strategies, and policies in early childhood education. She holds a terminal degree in the field and is affiliated with the Fairfax Campus, specifically Thompson Hall 1200. Key areas of teaching include curriculum design for inclusive settings, early intervention for infants and toddlers with disabilities, and engagement with families of diverse learners. Her courses emphasize evidence-based practices and culturally responsive teaching methods.
Subir Biswas is a Professor in the Department of Electrical and Computer Engineering (ECE) at Michigan State University (MSU), part of the College of Engineering. His research focuses on wireless networking, low-power protocols, vehicular networks, and health monitoring systems, conducted through the NeEWS laboratory. He holds a Ph.D. from the University of Cambridge and degrees from Jadavpur University. Education: Ph.D., Computer Engineering, University of Cambridge (1994) M.S., Electrical Engineering, Jadavpur University (1989) B.S., Electrical Engineering, Jadavpur University (1987) Professional Experience: Professor, MSU ECE (2011–present) Associate Professor, MSU ECE (2003–2010) Research interests include traffic analysis firewalls, pricing calculus for social wireless networks, low-energy green networking, and ultrasound-based sensor systems . He leads the NeEWS lab, exploring embedded systems and network middleware. His work spans IoT, cybersecurity, and biomedical applications like wearable sensors for autism monitoring and hydration tracking. Publications emphasize innovative protocols (e.g., pulse position coding) and machine learning for network optimization. Collaborations include NSF-funded projects and industry partnerships (e.g., Tellium Optical Systems).
Dr. Naseem Choudhury is a Professor of Psychology and Neuroscience at Ramapo College of New Jersey, affiliated with the School of Social Science and Human Services (SSHS). She holds a Ph.D. in Experimental Psychology from the University of Vermont. Her research focuses on the neural basis of infant information processing, particularly how perceptual abilities influence typical and atypical development, with an emphasis on familial and sociocultural factors. Her work spans auditory processing in infants at risk for developmental language disorders, electrophysiological studies in children with autism, and cross-cultural analyses of artistic perception. She directs the Palestroni Integrated Neuroscience Lab, exploring neural mechanisms underlying cognitive development. Dr. Choudhury has published extensively in journals like Journal of Neuroscience and Developmental Cognitive Neuroscience , with over 50 peer-reviewed articles since 2002. Her studies often involve ERP and EEG methodologies to track developmental milestones and intervention efficacy in high-risk populations. Her research demonstrates that early auditory experiences shape prelinguistic acoustic mapping and that neuroplasticity interventions improve outcomes for language-impaired children. She collaborates internationally on projects linking sensory perception to linguistic outcomes, particularly in Italian and bilingual populations. Dr. Choudhury’s contributions bridge basic neuroscience and clinical applications, emphasizing early screening and preventive strategies for developmental disorders.
Nathaniel D. Daw serves as the Huo Professor in Computational and Theoretical Neuroscience and Professor of Neuroscience and Psychology at Princeton University, based at the Princeton Neuroscience Institute. His research integrates computational modeling with experimental neuroscience to investigate fundamental mechanisms of learning and decision-making. Daw's research focuses on computational and theoretical neuroscience, specializing in reinforcement learning, memory systems, and decision-making processes. He examines how neural circuits represent value, update beliefs through experience, and balance model-based versus model-free control strategies. His work frequently bridges theoretical frameworks with behavioral and neural data to explain phenomena ranging from habitual behavior to flexible cognitive control. Analysis of his 2025 publications reveals dominant themes in neural replay mechanisms, individual differences in learning trajectories, and clinical applications to eating disorders. His work increasingly incorporates large language models for psychological assessment while maintaining core focus on interpretable cognitive architectures and hierarchical planning. Daw maintains active research operations through the Princeton Neuroscience Institute, an interdisciplinary hub fostering collaboration between computational modelers, neuroscientists, and psychologists to advance understanding of neural mechanisms underlying cognition.
Todd A. Alonzo is a Professor of Research in the Department of Preventive Medicine at the University of Southern California . As Group Statistician for the Children's Oncology Group , he focuses on statistical methods for biomarker analysis, medical diagnostic testing, and clinical trial design in pediatric acute myeloid leukemia (AML). Education: B.S. in Statistics, California State Polytechnic University (1994) MS and PhD in Biostatistics, University of Washington (1997, 2000) Research Interests include: Development of statistical frameworks for diagnostic accuracy Genomic and proteomic profiling in AML Pharmacogenomic score systems for chemotherapy response Non-inferiority trial design in low-event-rate settings Health disparities in pediatric oncology Scientific Awards : Fellow, American Statistical Association (2018) Outstanding Teacher Award, International Society for Magnetic Resonance in Medicine (2017) NIH Predoctoral Cardiovascular Biostatistics Training Grant (1995) ENAR Biometrics Society Distinguished Student Paper Award (1999) WNAR Biometrics Society Best Student Oral Presentation (1999) Leadership & Service includes editorial board memberships (Biometrics, Pediatric Blood & Cancer, Biometrical Journal), reviewer for 30+ scientific journals, and roles on multiple Data Safety and Monitoring Boards. He served as President of the International Biometric Society Western Northern America Region (WNAR) in 2009.
Peter Gordon is an Associate Professor of Neuroscience and Education and Cognitive Science in Education at Teachers College, Columbia University. He directs the Language and Cognitive Neuroscience Lab and holds affiliations with Biobehavioral Sciences, Human Development, and other departments. His research focuses on language acquisition, developmental neuroscience, cross-cultural numerical cognition, and MRI-based studies of language processing. Dr. Gordon earned a B.A. (Hons) in Psychology from the University of Stirling (Scotland) and a Ph.D. in Psychology from MIT. His fieldwork includes extensive studies with the Piraha in Amazonia, Brazil, and the Kadiweu in Mato Grosso do Sul, Brazil. His research interests span infant event representations, behavioral genetics of language, and the interplay between language structure and cognitive development. Notable contributions include work on anumeric cultures and the linguistic relativity hypothesis. Publications highlight cross-cultural studies, morphological processing, and cognitive neuroscience of language. He has conducted influential research on numerical cognition in Amazonian cultures and the genetic influences on language acquisition. Contact: pg328@tc.columbia.edu | Office: 1152 Building 528 | Lab: [Link Provided].
Roman Feiman is the Thomas J. and Alice M. Tisch Assistant Professor of Cognitive, Linguistic, and Psychological Sciences and an Assistant Professor of Linguistics at Brown University. He directs the Brown Language and Thought Lab, focusing on how humans combine words into meaningful sentences and develop logical reasoning abilities. His research integrates methods from cognitive developmental psychology, psycholinguistics, and formal semantics. Feiman holds a PhD in Psychology from Harvard University (2015), followed by postdoctoral training at Harvard and UC San Diego. His work explores the cognitive systems underlying language and thought, including negation comprehension, quantifier scope, and the development of exact equality concepts. He teaches courses such as Language Processing in Humans and Machines and Logic in Language and Thought . His research interests span cognitive development, linguistic pragmatics, and the language of thought hypothesis. Notable findings include studies on children’s understanding of negation and how logical principles shape early language acquisition. Feiman has been recognized with the 2023 Henry Merritt Wriston Fellowship. His lab investigates topics like word referencing, semantic development, and the interplay between language and nonverbal reasoning. Recent work examines how neural networks might model human cognitive processes, bridging AI and psychological theory.
W. Hong Yeo is a Professor in the Woodruff School of Mechanical Engineering and Program Faculty in Bioengineering at the Georgia Institute of Technology, where he also directs the WISH Center. He holds adjunct appointments in the Wallace H. Coulter Department of Biomedical Engineering. Previously, he was an Assistant Professor at Virginia Commonwealth University (2014-2016) and a postdoctoral fellow at the University of Illinois Urbana-Champaign's Beckman Institute. Dr. Yeo's research integrates nanomechanics, soft materials, and nano-microfabrication to develop bio-interfaced systems. Key areas include: Flexible Bioelectronics : Wearable/implantable sensors for health monitoring Human-Machine Interfaces : Neural prosthetics and soft robotics Translational Nanoengineering : Nanoparticle biosensing and diagnostics His publications (2023-2025) demonstrate strong focus on wireless health technologies, including multi-modal wearable systems, implantable sensors for cardiovascular/neurological monitoring, and AI-integrated diagnostics. Trends show increasing emphasis on closed-loop therapeutic systems and scalable manufacturing. Awards & Recognition : BMES Innovation and Career Development Award Virginia Commercialization Award Blavatnik Award Nominee NSF Summer Institute Fellowship Research funding sources include MEDARVA Foundation, NIH, DARPA, and industry partners like CooperVision. He leads the Center for Human-Centric Interfaces & Engineering , developing next-generation bio-interfaced systems.
Jonathan Santo is a Professor of Psychology at the University of Nebraska at Omaha (UNO), where he serves as Director of the Graduate Developmental Psychology Program and as a faculty member in the Office of Latino/Latin-American Studies. His research explores peer relations, cultural differences in self-esteem, and classroom-level influences on child and adolescent development, with a focus on improving school environments and fostering positive social interactions. ORCA Faculty Fellow His research spans broad areas including Developmental Psychology , Social Support Systems , and Cross-Cultural Peer Dynamics , with specific attention to peer victimization , self-continuity , school climate , and developmental trajectories in Brazilian and Colombian youth . Recent publications analyze topics like hikikomori experiences , friendship security , and HPA axis dysregulation in adolescents. Scientific awards include the ORCA Faculty Fellow recognition. His work often involves longitudinal assessments of peer relationships cross-cultural comparisons (Brazil, Colombia, China, Nigeria, Singapore, U.S.) policy-focused blog posts on family separations and school interventions
Glenn Roisman is a Professor at the Institute of Child Development , University of Minnesota. He holds the Distinguished McKnight University Professor and Robert Holmes Beck Chair of Ideas in Education titles, reflecting his scholarly influence and teaching excellence. Education: PhD (2002), University of Minnesota Roisman’s research examines how early relationship experiences shape lifespan psychological, interpersonal, physical, and cognitive health . His work integrates longitudinal data from birth to adulthood, focusing on normative and atypical caregiving environments. Recent publications analyze the predictive validity of attachment assessments (Strange Situation, Adult Attachment Interview), genetic/environmental contributions to attachment styles, and pathways from early adversity to cardiometabolic health. His projects leverage data from the NICHD Study of Early Child Care and Youth Development , Minnesota Longitudinal Study , and Minnesota Twin Registry . Scientific Awards : Distinguished McKnight University Professor Robert Holmes Beck Chair of Ideas in Education Roisman’s collaborations with institutions like Pennsylvania State University and grants from NHLBI , NICHD , and NIA underscore his leadership in developmental science. He is open to advising new PhD students in 2026, emphasizing multi-method and multi-informant research approaches.
Professor Louis Schmidt is a leading academic in the Department of Psychology, Neuroscience & Behaviour at McMaster University , with a research focus on developmental psychophysiology, temperament, and the long-term effects of early adversity. His work bridges neuroscience, psychology, and behavioral science, emphasizing the interplay between brain function and socio-emotional development across the lifespan. Key research themes: Shyness, social anxiety, autism spectrum disorder, schizophrenia, and outcomes of extremely low birth weight. Recognized for mentoring postdoctoral fellow Kristie Poole, who was celebrated as a role model in the Child Emotion Laboratory. Scientific Awards : Royal Society of Canada recognition for contributions to research and scholarship. Research Trends from 15 recent publications include: Neurophysiological mechanisms of shyness (EEG, ERP, RSA) Impact of antenatal corticosteroids on adult brain function Intergenerational effects of maternal mental health interventions Cross-cultural comparisons of temperamental shyness Developmental consequences of preterm birth Behavioral and neural correlates of social anxiety in diverse populations Grants & Collaborations : Led the SNACS randomized controlled trial on antenatal corticosteroids, with applications in obstetrics and developmental neuroscience. Collaborates extensively on topics like autism spectrum disorder, schizophrenia, and emotion regulation. Labs & Teams : Directs the Child Emotion Laboratory at McMaster University, fostering interdisciplinary research on developmental psychopathology and neural mechanisms of temperament.
Judi Mesman is a Professor of the Interdisciplinary Study of Social Challenges at Leiden University, where she also holds the position of University Professor of Societal Responsibility and Impact since 2024. She is affiliated with the School of Governance and Global Affairs and the Department of Education and Child Studies. Previously, she served as Dean of Leiden University College The Hague from 2016 to 2022 and as Scientific Director of the Institute of Education and Child Studies from 2012 to 2016. Mesman's research focuses on social (in)justice, particularly intergenerational issues at individual and institutional levels. Her work examines how social and cultural norms in children's upbringing and education influence their self-image and worldview, with special attention to how children perceive and internalize norms regarding sexuality, ethnicity, and gender. She investigates how parents and educators unintentionally transfer prejudices to children through subtle messages and implicit stereotyping. Mesman's research program has significant societal impact, as demonstrated by her receipt of the prestigious Stevin Prize in 2021, the highest award in the Netherlands for researchers who effectively translate knowledge into societal benefits. Her work has influenced educational publishers, teacher training programs, and diversity initiatives. She has conducted studies on implicit stereotyping in schoolbooks and developed interventions to promote anti-racist education. Stevin Prize (2021) Member of Royal Netherlands Academy of Arts and Sciences (2018) Member of Royal Holland Society of Sciences and Humanities Recipient of NWO Veni, Vidi, Vici grants Recipient of ERC Starting and Consolidator Grants Mesman has supervised 26 PhD students to completion and teaches Intercultural Pedagogy in the Bachelor's program in Educational Sciences. She has developed the minor 'The (Un)Just Society' and created a podcast series on working with youth in a multicultural society, for which she received a teaching award. Her current research focuses on how norms and values about gender, ethnicity, and sexuality are transferred among professionals who work with children, including in teacher training programs.
Swati Aggarwal is a Professor in Artificial Intelligence at the Faculty of Logistics, Molde University College (HiMolde). Her research focuses on AI applications in healthcare, ethics, cognitive development, and neural networks. She holds a PhD in Neutrosophic Neural Networks, a Master's in Information Technology, and a Bachelor's in Computer Science and Engineering. Previously, she was a Marie Curie Postdoc Fellow at NTNU, working on AI models for cognitive assessment in infants (AIM_COACH project). Research Interests - AI in Health/Medicine - Ethics in AI and Societal Impact - EEG/BCI for Cognitive Assessment - Machine Learning and Deep Learning Publications Her recent work spans AI ethics, BCI applications, adversarial attacks, and healthcare diagnostics. Notable contributions include EEG-based infant perceptual monitoring (2025) and malaria detection via EfficientNet (2023). She also explores cross-lingual adversarial robustness and blockchain in hospitality systems. Labs/Teams - ABC-AI: Applied, Basic, and Conscientious AI Group - Virtual Technologies and Learning Research Group
Dr Fiona Hum is a Senior Lecturer at Monash University's Faculty of Law, where she conducts research and teaches. Admitted as a solicitor and barrister of the Supreme Court of Victoria, she previously practiced commercial litigation, criminal law, and personal injury law while consulting for major insurers and the Victorian police force. Her doctorate from the University of Melbourne focused on Northern Territory euthanasia laws. Education: Doctorate in Law, University of Melbourne (thesis on euthanasia laws) Admitted Solicitor and Barrister, Supreme Court of Victoria Research Focus: Dr Hum's work centers on Evidence Law , Wrongful Convictions , and Gender/Race Relations in Law , with pioneering studies on compassion training for law students now expanding into climate change law. Her research directly supports UN Sustainable Development Goals for justice, equality, and well-being through interdisciplinary approaches connecting legal theory with psychological and social frameworks. Publication Trends: Recent work (2022-2025) analyzes high-profile cases like Kathleen Folbigg and Cardinal Pell while advancing evidence law pedagogy through her Cambridge University Press textbook. Earlier scholarship (2010) established foundational critiques of gender bias in evidentiary processes, particularly regarding women complainants and pregnant patients. Scientific Awards: Faculty Teaching Award for Teaching Excellence (2010) Certificate of Recognition for S1 Unit Performance (2015) Certificate of Recognition for S2 Unit Improvement (2016) Nominee: Inspiring Woman Award (2021) Nominee: Australian Legal Education Award (2023) Advising & Professional Impact: Accepting PhD students, Dr Hum actively shapes legal education through curriculum innovation and peer review for top journals ( University of New South Wales Law Journal , Sydney Law Review ). Her external collaborations include specialist lectures for Monash's Faculty of Medicine and keynotes at national conferences like the Women's Lawyers Conference on 'Justice for All'. Institutional Roles: Current member of the Australasian Law Academics Association (2025-2028) and former Honorary Fellow at the University of Melbourne (2019-2021), she bridges academic rigor with real-world legal practice through ongoing consultancy work.
Michael Siegrist is a Full Professor of Consumer Behavior at ETH Zurich's Department of Health Sciences and Technology. His research focuses on risk perception, risk communication, acceptance of new technologies, and decision making under uncertainty, with particular emphasis on food and consumer behavior. He has established himself as a leading researcher in understanding how people perceive risks related to food, chemicals, and emerging technologies. Dr. Siegrist earned his education at the University of Zurich, where he studied psychology, economics, and mass communication. He completed his dissertation in 1994 and his Habilitation in 2001 at the Faculty of Arts. Between 1998-2000, he was a visiting researcher at Western Washington University, funded by the Swiss National Science Foundation. He began teaching and research activities at ETH Zurich in 2004 and became a Full Professor there in 2007. His research interests span risk perception and communication, with particular focus on food safety, disgust sensitivity, naturalness perception, and sustainability. His work examines how consumers evaluate risks related to food technologies, chemicals, and environmental issues. He has published extensively on topics including cultured meat acceptance, food labeling, household chemical safety, and the psychological factors influencing consumer decisions under uncertainty. His research often employs cross-cultural approaches, comparing consumer perceptions across different countries and demographic groups. Dr. Siegrist's publications reveal a strong trend toward understanding the psychological mechanisms behind consumer acceptance of novel food technologies, particularly alternative proteins. His recent work increasingly focuses on sustainability issues in food consumption, examining how consumers perceive environmental impacts of food choices and respond to policy measures aimed at promoting sustainable eating habits. He has made significant contributions to understanding how naturalness claims, disgust sensitivity, and cultural factors shape food preferences and risk perceptions. As an active researcher, Dr. Siegrist collaborates with numerous colleagues across disciplines, including veterinary science, nutrition, and agricultural technology. His work spans both theoretical contributions to risk perception frameworks and practical applications for food industry and policy development.
