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Julia Rodriguez BuriticaView profile

Assistant Professor

• Developmental Psychology
• Educational Psychology
• Social Learning
• +4 more

Dr. Julia Rodriguez Buritica is an Academic Councillor (Assistant Professor equivalent) in the Department of Psychology at the University of Greifswald since 2023, specializing in developmental and educational psychology. Her educational background includes: Dr. rer. nat. in Psychology, Freie Universität Berlin (2017) Diploma in Psychology (very good), Humboldt University Berlin (2011) ERASMUS student, University of Glasgow (2009) Her research investigates how social information shapes learning, decision-making, and memory across development, particularly in children. Using experimental psychology, computational modeling, neuroimaging, and EEG, she bridges laboratory findings with educational practice in school settings to optimize learning mechanisms. Her scientific achievements include: DAAD Fellowship (2016) Berlin School of Mind and Brain Doctoral Fellowship (2011-2015) She advises doctoral student Maria Woitow (experiential/observational learning effects on memory), Master's student Lea Uhlherr (social learning and mental health), and thesis student Carolin Steinwarder (teacher-student relationships). She secured €152,879 for the SCIoI Grant 'Observational Learning in Children and Robots' (2023) and €8,836.80 in university start-up funding (2023). As a core member of the Developmental and Educational Psychology team, she integrates behavioral, neural, and computational approaches to advance understanding of developmental learning processes.

Eric SchniterView profile

Academic

• Evolutionary Anthropology
• Behavioral Economics
• Aging and Life History Theory
• +3 more

Dr. Eric Schniter is a Visiting Professor and Research Faculty at Chapman University, affiliated with the Economic Science Institute, Crean College of Health and Behavioral Sciences (Psychology), and the George L. Argyros College of Business and Economics. He holds a Ph.D. in Anthropology from the University of California, Santa Barbara, and a B.A./M.S. from the University of Oregon. His research bridges evolutionary anthropology and behavioral economics, focusing on skill/knowledge development across the lifespan, relationship maintenance (communication, trust, cooperation), and emotional regulation of behavior. Recent work examines cultural transmission among Tsimane Amerindians, human-robot trust dynamics, and social determinants of depression in small-scale societies. Scientific contributions include publications in Nature Human Behaviour , Evolution and Human Behavior , and Current Anthropology . Collaborations span multiple institutions, with datasets archived in Zenodo and Mendeley. His experimental studies explore trust games, emotional calibration, and age-related behavioral shifts.

David PuntView profile

Associate Professor

• Stroke Rehabilitation
• Neglect Syndrome
• Bimanual Coordination
• +7 more

Dr David Punt is an Associate Professor in the School of Sport, Exercise and Rehabilitation Sciences at the University of Birmingham. He specializes in stroke rehabilitation and motor-cognitive research, with a strong clinical background as a physiotherapist in the NHS and the American Midwest. He earned his PhD in Psychology from the University of Birmingham in 2004, funded by a Stroke Association Fellowship, focusing on neglect-related movement disorders after stroke. PhD in Psychology, University of Birmingham (2004) MSc in Clinical Neuroscience, Roehampton Institute, London (1998) Graduate Diploma in Physiotherapy, Royal Liverpool Hospital College (1990) David Punt's research focuses on cognitive and motor performance in health and disease, particularly in stroke rehabilitation. His work explores the neglect syndrome, bimanual coordination, learned nonuse, anosognosia, and pusher behaviour. He leads experimental research funded by the Medical Research Council and Wellcome Trust. His recent publications highlight innovative approaches to motor assessment and rehabilitation, including mirror feedback, computer-based neglect assessment, and tDCS interventions. His research output demonstrates a consistent focus on understanding and improving motor recovery after neurological injury, with strong emphasis on experimental and clinical methodologies. Key trends include the use of Delphi studies for clinical consensus, systematic reviews for evidence synthesis, and experimental designs to probe motor-cognitive interactions in stroke and developmental disorders. Stroke Association Fellowship (PhD funding) David Punt has supervised numerous research students to completion and currently mentors several PhD candidates. He led the development of the university’s 4-year integrated MSci Physiotherapy program, which launched in 2022 and contributed to the university being ranked number one in the UK for physiotherapy in 2023–2025. He has held leadership roles including Physiotherapy Programme Lead (2020–2025), Deputy Head of Education, and Year 3 Tutor. He secured funding from NHS England in 2023 to establish the 'Physio for Stroke' service, a student-staffed rehabilitation initiative that began operations in 2024. He also contributes to external examining for universities including Bradford, Brunel, and Leeds. He co-leads the Year 3 Clinical Neuroscience and Rehabilitation module and leads the Year 4 Research Project module. His research group conducts experimental studies relevant to both health and disease, with strong translational impact.

Rifat SipahiView profile

Professor

• Control Systems
• Mechatronics
• Stability Analysis of Dynamical Systems
• +5 more

Rifat Sipahi is a Professor and Associate Chair for Research Affairs in the Department of Mechanical and Industrial Engineering at Northeastern University. He holds a BS from Istanbul Technical University (2000), and MS/PhD from the University of Connecticut (2002/2005). After a postdoc at Université de Technologie de Compiègne (France), he joined Northeastern in 2006. His research focuses on control systems, time delay dynamics, and mechatronics, with applications to robotics, human-machine systems, and biomedical devices. Education: PhD, 2005: Mechanical Engineering, University of Connecticut MS, 2002: Mechanical Engineering, University of Connecticut BS, 2000: Mechanical Engineering, Istanbul Technical University Research Interests: Stability analysis of time delay systems, network dynamics, human-robot collaboration, and engineering education innovation. His lab has developed novel methods for stability charts and delay-tolerant graph design. Recent Work: Includes studies on firearm acquisition patterns, spinal cord growth modeling, and low-cost Braille devices for the blind. He has authored 79 journal articles and 98 conference papers, with an h-index of 37 (Google Scholar). Awards: 2015 ASME Young Investigator Award, 2011 DARPA Young Faculty Award, 2022 Outstanding Faculty Service Award, and ASME Fellow since 2014. Grants: Funded by NSF, DARPA, DEVCOM, and NIH. Projects include cognitive distributed sensing, graph-based control design, and systems biology collaborations.

George MiasView profile

Associate Professor

• Precision Medicine
• Omics Technologies
• Systems Biology
• +5 more

George Mias is an Associate Professor in the Department of Biochemistry and Molecular Biology at Michigan State University (MSU). He also serves as Chief of the Systems Biology Division within the Institute for Quantitative Health Science and Engineering. His research integrates omics technologies to advance precision medicine, focusing on transitioning physiological states from health to diseases such as leukemia and immune disorders. Dr. Mias holds a Ph.D. in Physics from Yale University and completed postdoctoral training in Genetics at Stanford University. His work emphasizes interdisciplinary approaches combining experimental and computational methods, utilizing software like MathIOmica for omics analysis. Key research areas include space health monitoring, AI-driven labs, and longitudinal molecular signatures for disease prediction. His studies bridge fields like systems biology, epigenetics, and computational modeling to address challenges in personalized healthcare and deep space exploration. Notable achievements include developing methodologies for multi-omics data integration and uncovering mechanisms in leukemogenesis and neural stem cell dysfunction. His recent work explores astronaut health dynamics and AI applications in biomedical research, reflecting a commitment to advancing both clinical and exploratory science.

Margaret QuinnView profile

Associate Professor

• Early Childhood Education
• Early Literacy Development
• STEM Education
• +3 more

Margaret F. Quinn is an Associate Professor in the Department of Teaching, Learning and Culture at Texas A&M University. Her research focuses on early childhood education, teacher professional development, and culturally relevant pedagogy. She holds a Ph.D. in Early Childhood and Elementary Education from Georgia State University (2017), an M.S. in Counseling and Therapeutic Communication from Ulster University (2009), and a B.A. in Interdisciplinary Studies from New York University (2006). Prior to academia, she taught in schools in Atlanta and Belfast, working with young children. Her research explores two primary areas: supporting teachers' instructional practices in literacy and STEM, and assessing 21st-century skills through innovative measures. She leads projects like the CRRAFT Partnership, promoting computational thinking in early childhood, and the TexCS initiative, developing CS resources for educators. She also co-directs the Big Words Project, addressing multisyllabic word instruction in upper elementary grades. Quinn has published widely on topics including early writing assessment, culturally responsive robotics, and teacher knowledge development. Her work emphasizes collaborative partnerships between universities, schools, and families to foster equitable educational opportunities.

• Ethics Education
• Gamification
• Organizational Training
• +3 more

Galina Zvereva is a Grant Holder and Researcher at the Faculty of Management and Business, Department of Information and Knowledge Management at Tampere University. Her work focuses on ethics education, gamification, organizational training, innovation financing, and parenting dynamics. She holds a doctoral-level research appointment and has contributed to both contemporary and historical studies in Russia's innovation ecosystems and educational systems. Her research interests bridge technology and human behavior, including the ethical implications of AI-driven services, game-based learning methodologies for ethics training, and the financing mechanisms supporting innovation. Notably, she has explored how gamification can enhance organizational ethics education and consumer decision-making influenced by service robots. Zvereva’s publications span interdisciplinary topics such as moral choices in human-robot interactions, the role of business incubators in Russian innovation, and parenting strategies around emotion regulation. While no awards are explicitly mentioned, her work demonstrates sustained engagement with critical issues in ethics, education, and innovation policy. Her advising and grants history is not detailed here, but her current role suggests active involvement in doctoral research supervision and project funding. She is affiliated with Tampere University’s Hervanta Campus and can be reached at galina.zvereva@tuni.fi .

Gregor SchönerView profile

Professor

• Embodied Cognition
• Cognitive Science
• Neuroscience
• +6 more

Prof. Dr. Gregor Schöner is a Professor at the Institute of Neuroinformatics, Faculty of Computer Science, Ruhr University Bochum, leading the Theory of Cognitive Systems research group. His research focuses on embodied cognition, aiming to understand how cognition emerges in nervous systems. Key aspects include: The integration of cognitive processes with sensory and motor interfaces The role of structured environments in cognition Neural principles of cognitive processing, modeled through neural dynamics and Dynamic Field Theory His group collaborates with experimental researchers on model systems spanning motor control, spatial and visual memory, motion perception, and developmental psychology. They also work with the autonomous robotics group to implement models on robots, testing the sufficiency, robustness, and scalability of theoretical conceptions.

• Sensory control of locomotion
• Active sensing in insects
• Insect sense of touch
• +3 more

Volker Dürr is a Professor of Biological Cybernetics at Bielefeld University , Faculty of Biology, and a member of the Center for Cognitive Interaction Technology (CITEC) . His work focuses on sensory control of locomotion , active tactile sensing in insects , and biomimetic modeling of movement systems. Education : Habilitation in Zoology (University of Cologne, 2008; Bielefeld, 2005), PhD in Biology (Bielefeld, 1998), Diploma in Biology (Tübingen, 1994) Academic Career : Professor at Bielefeld (2009-present), Junior Research Group Leader (University of Cologne, 2007-2009), Research Assistant (Bielefeld, 1998-2006) His research investigates how insects use antennal mechanosensory systems and proprioception to control locomotion in complex environments. Key themes include goal-directed movements , sensorimotor integration , and biomimetic robotics . Publications emphasize tactile sensing (15/23 articles), neural control of movement (9/23), biomechanical modeling (7/23), and cross-species locomotion analysis (4/23). Recent work explores virtual reality paradigms for locomotion studies and spiking neural networks for proprioceptive modeling.

• Language and literacy disorders
• Dyslexia
• Interdisciplinary education and practice
• +5 more

Abbie Olszewski, Ph.D., CCC-SLP, serves as Associate Professor in Literacy Studies within the College of Education and Human Development at the University of Nevada, Reno. With over 25 years of clinical experience as a certified speech-language pathologist, she trains future educators—including speech-language pathologists, special educators, and early childhood specialists—in evidence-based practices for improving children's language and literacy skills, with specialized focus on dyslexia evaluation and intervention. Education: Ph.D. in Disability Disciplines in Special Education and Rehabilitation (specializing in Speech-Language Pathology and Language and Literacy), Utah State University, 2011 M.A. in Speech-Language Pathology, Northern Illinois University, 1998 B.S. in Communicative Disorders, Northern Illinois University, 1996 Research Focus: Dr. Olszewski's work centers on three interconnected domains: (1) Developing AI-driven screeners for early identification of dyslexia/dysgraphia through children's writing analysis, funded by NSF/IES through the National AI Institute for Exceptional Education; (2) Pioneering clinical interventions including her seminal book How to Teach Voice and Communication Skills to Transgender Women ; (3) Advancing scholarship of teaching and learning to optimize educator preparation. Her research bridges clinical practice, technology innovation, and interdisciplinary collaboration. Publication Trends: Recent publications (2023-2025) demonstrate accelerating integration of artificial intelligence in speech-language pathology, particularly for dyslexia screening and culturally responsive interventions. Concurrent threads examine interdisciplinary training models and transgender communication services, reflecting her commitment to technology-enhanced, inclusive educational practices that address systemic service gaps. Scientific Awards: No scientific awards reported in available documentation. Grants and Leadership: Principal investigator on multiple federal grants including NSF/IES funding for AI-driven exceptional education solutions and OSEP funding for interdisciplinary training of early childhood special educators and speech-language pathology students. Her work emphasizes team science to develop scalable interventions addressing speech-language pathologist shortages. Collaborative Frameworks: Actively engaged with the National Artificial Intelligence Institute for Exceptional Education, leading cross-disciplinary collaborations between speech-language pathologists, educators, computer scientists, and AI researchers to transform service delivery models for children with communication disorders.

Jens NirmeView profile

Associate Professor

• Gesture Psychology
• Comprehension Psychology
• Children Psychology
• +5 more

Jens Nirme is an Associate senior lecturer and researcher in Cognitive Science at the Department of Philosophy, Lund University. He is affiliated with multiple research groups including The Educational Technology Group, LAMiNATE (Language Acquisition, Multilingualism, and Teaching), and the LU Profile Area: Natural and Artificial Cognition. His primary research location is at the VR Lab in the LUX building (Room B467) at Helgonavägen 3, Lund. His research focuses on gesture psychology, comprehension, children's cognition, virtual reality applications, speech perception, and metaphor. His work explores how nonverbal communication, particularly gestures, influences language processing, memory, and learning. He investigates these phenomena through both traditional experimental methods and innovative virtual reality environments. Nirme's publication record shows consistent output with 18 research outputs including 10 articles, 3 abstracts, 2 conference papers, and edited volumes. His recent work (2022-2024) demonstrates a strong focus on virtual reality learning environments, gesture-speech interactions, and educational applications of cognitive science. His research shows interdisciplinary collaboration across psychology, linguistics, education, and technology fields. Nirme has been actively involved in supervising master's students and engaging with schools through educational technology projects. His research has been supported by multiple projects including VEER (2019-2023), Teaching and learning in diverse classrooms (2016-2020), and Virtuellt klassrum som forskningsplattform (2016-2021). He is part of the Cognition & Philosophy VR Lab at Lund University, where he conducts research on human-computer interaction, virtual learning environments, and multimodal communication. His work bridges theoretical cognitive science with practical educational applications, particularly in understanding how nonverbal factors influence language comprehension and learning.

Tamar KushnirView profile

Professor

• Cognitive development
• causal learning
• social cognition
• +8 more

Tamar Kushnir is a Professor of Psychology and Neuroscience and Professor of Philosophy at Duke University's Trinity College of Arts & Sciences. She serves as Associate Chair of Psychology and Neuroscience and is a Faculty Network Member of the Duke Institute for Brain Sciences. Her academic journey includes professorship at Cornell University (2020-2021) and Assistant/Associate Professor positions there from 2008-2020. She earned her Ph.D. and M.A. from the University of California, Berkeley (2005 and 2004 respectively) and her B.A. from Barnard College (1996). Professor Kushnir's research focuses on cognitive development, particularly in the areas of causal learning, social cognition, moral cognition, theory of mind, cultural psychology, free will, counterfactual thinking, imagination, and self-control. Her work employs rational constructivist approaches to understanding how children learn and develop. Recent publications explore children's moral reasoning, interactions with technology, and cultural influences on cognitive development. Her research demonstrates how children extract patterns from social choices, evaluate moral dilemmas with humility, and develop sophisticated understandings of agency and free will. Her current research is supported by several significant grants including 'Humilities Across Cultures: Do Children in China and the U.S. Value Intellectual Humility for Moral and Epistemic Beliefs?' (2024-2026), 'The Impact of Gossip on Children's Feelings of Belongingness' (2023-2026), 'Religion, Normativity, and Self-regulation' (2020-2025), and 'Collaborative Research: The role of trust when learning from robots' (2021-2024). She teaches courses including Psychology of Imagination, Research Practicum, and Developmental Psychology, emphasizing hands-on research experiences for students through independent study opportunities.

Frederick ShicView profile

Professor

• Computational Neuroscience
• Neuroengineering
• Autism Spectrum Disorder (ASD) Research
• +6 more

Dr. Frederick Shic is a Professor of Pediatrics at the University of Washington School of Medicine and a Principal Investigator at Seattle Children's Research Institute. He also holds adjunct appointments in Computer Science & Engineering and Psychology at UW. His research integrates computer science, engineering, and developmental science to create innovative tools for understanding and improving outcomes for children with autism spectrum disorder (ASD) and other developmental conditions. Academic Affiliation: University of Washington (School of Medicine, Department of Pediatrics, General Pediatrics Division) Laboratory: Seattle Children's Innovative Technologies Laboratory (SCITL) Dr. Shic's expertise spans computational neuroscience, neuroengineering, and human-centered computing, with a focus on non-invasive technologies like eye tracking, functional near-infrared spectroscopy (fNIRS), and social robots. His work has been funded by the National Institute of Mental Health (NIMH), Institute of Education Sciences (IES), Simons Foundation, and Autism Speaks. Key contributions include: Development of interactive eye-tracking methodologies for joint attention assessment Investigation of physiological biomarkers (e.g., heart rate-defined sustained attention) in neurodiverse populations Creation of novel computational models for analyzing eye-tracking data Exploration of genetic contributions to attention through twin studies Application of social robots for in-home ASD interventions Analysis of spatiotemporal eye movement patterns as potential ASD biomarkers His academic journey includes: B.S. in Engineering and Applied Science from Caltech Ph.D. in Computer Science from Yale University Postdoctoral training at Yale Child Study Center under NIMH T32 program Prior roles: Associate Research Scientist at Yale, Software Engineer at Sony Interactive Studios, MRS Researcher at Huntington Medical Research Institutes Current research directions include: Standardization of clinical eye-tracking protocols through the International Society for Clinical Eye Tracking (ISCET) Development of accessible, technology-enhanced behavioral paradigms Investigation of reward and motivation mechanisms in ASD attention patterns Translation of EEG and eye-tracking findings into clinical applications

Utku NormanView profile

Researcher

• Human-Robot Interaction
• Artificial Intelligence
• Educational Technology
• +4 more

Dr. Utku Norman is a Researcher at the Institute for Technology Assessment and Systems Analysis (ITAS), part of the Karlsruhe Institute of Technology (KIT) . His work focuses on Human-Robot Interaction and Artificial Intelligence applications in educational contexts, particularly through collaborative learning systems. Since 2023, he has contributed to projects like the Real-World Laboratory for Robotic Artificial Intelligence and JuBot , exploring the intersection of technology, cognition, and social impact. Ph.D. , Computer and Communication Sciences, EPFL, Switzerland (2023) M.Sc. , Computer Engineering, Bilkent University, Türkiye (2018) B.A. , Philosophy, Middle East Technical University, Türkiye (2018) B.Sc. , Electrical and Electronic Engineering, Middle East Technical University, Türkiye (2016) Norman's research integrates Technology Assessment and Systems Analysis to study how autonomous, self-learning AI systems interact with humans in practical settings. His work spans disciplines like Computational Thinking , Educational Robotics , and Machine Ethics , often combining empirical studies with algorithmic development. His publications highlight trends in Human-Robot Interaction , focusing on collaborative learning, robot perception in children, and ethical frameworks for autonomous systems. Notably, he contributed to establishing empirical methods for analyzing robot-mediated educational activities and developed tools like the ST-Steiner algorithm for genetic research in earlier career stages. Awards : Marie-Skłodowska-Curie PhD Fellowship (2018–2022) Norman has collaborated with institutions such as EPFL , Télécom Paris , and Bilkent University , participating in EU-funded projects like ANIMATAS . His current work involves analyzing social and psychological dimensions of robotics and developing empirical research methods in human-machine interaction. Contact: utku.norman@does-not-exist.kit.edu

• Rehabilitation Technology
• Augmentative and Alternative Communication (AAC)
• Digital Media in Education
• +3 more

Prof. Dr. Michael Wahl is a Professor for Rehabilitation Technology and New Media at the Institute of Rehabilitation Sciences , Humboldt University of Berlin. His work bridges neurology , speech therapy , and digital innovation , focusing on augmentative and alternative communication (AAC) and rehabilitation robotics . Education: Dr. phil. (2007), Clinical Linguist (BKL) certification, ISAAC Basic Certificate in AAC Key Research: Digital media in rehabilitation, teletherapy, AAC implementation, stroke recovery, Parkinson’s disease, eye movement analysis for reading disorders Awards: No explicit awards mentioned Recent Publications: Focus on digital inclusion , robot-assisted therapy , and user-centered design in rehabilitation technologies Teaching: Lecturer at University of Potsdam and German Federal Association for Academic Speech Therapy