جست‌وجوی استاد و پژوهشگر

Andreas Richterمشاهده پروفایل

استاد

• Creativity and Innovation in Teams
• Team Processes and Dynamics
• Leadership Development
• +۵ مورد دیگر

Andreas Richter is a Professor of Organisational Behaviour at Cambridge Judge Business School (University of Cambridge), specialising in creativity and innovation in teams, leadership development, and team effectiveness. His research integrates theoretical insights with practical applications in healthcare, pharmaceutical, and financial sectors. He holds a PhD in Management from Aston University and advanced degrees from Giessen University. He advises multinational corporations and public institutions globally, including TomTom, UNICEF, and the UAE Ministry for Internal Affairs. His work focuses on enhancing team collaboration through psychological safety, leadership training, and resource distribution. Richter serves on editorial boards of top journals like the Academy of Management Journal and Journal of Applied Psychology . Key research themes include: Team processes & creative environments Leadership learning mechanisms Failure recovery systems Temporal dynamics in innovation Notable contributions include frameworks for converting workplace shame into creativity and analyzing team effectiveness through multiplex leadership networks. His 2019 study on learning from failure highlights team resource systems' role in transforming adversities into growth opportunities. Executive education expertise includes designing positive leadership programs addressing empathy and dark triad traits in management. Richter has developed innovative team-building models for organisational change, such as the 'twelve steps to heaven' framework for successful transitions.

Yuko Munakataمشاهده پروفایل

استاد

• Developmental Psychology
• Cognitive Neuroscience
• Executive Functions
• +۵ مورد دیگر

Yuko Munakata is a Professor in the Department of Psychology at the University of California, Davis, and Director of the Cognition in Context Lab. She holds affiliations with the Center for Mind and Brain. Her education includes a PhD in Psychology from Carnegie Mellon University and dual BS/BA degrees in Symbolic Systems and Psychology from Stanford University. Her research integrates behavioral experiments, computational modeling, neuroimaging (ERP/fMRI), and cross-cultural studies to investigate how thinking varies across developmental stages and environmental/social contexts. Core interests include executive functions, developmental trajectories, cognitive control mechanisms, and interventions to enhance adaptive thinking. Her work highlights the role of cultural habits, social influences, and proactive control in shaping decision-making and self-regulation. Recent work explores the impact of environmental predictability on cognitive control development, the link between procrastination in adults/children, and the efficacy of executive function training programs. She advocates for contextual frameworks in understanding individual differences and educational inequality. Awards: American Psychological Association Boyd McCandless Early Career Award Outstanding Mentor Award (UC Boulder) Fellowships in Association for Psychological Science and APA Grants: NIH funding since 1998, supporting studies on child development and executive functions. Labs: Cognition in Context Lab (UC Davis), Center for Mind and Brain collaborations.

Carlos Brodyمشاهده پروفایل

استاد

• Systems Neuroscience
• Cognitive Neuroscience
• Decision-making
• +۶ مورد دیگر

Carlos Brody is the Wilbur H. Gantz III '59 Professor of Neuroscience at Princeton University, where he leads a research group at the Princeton Neuroscience Institute. His laboratory employs a unique combination of computational, behavioral, and electrophysiological techniques to investigate the neural mechanisms underlying cognitive abilities. Dr. Brody's research focuses on understanding how the brain processes information during cognitive tasks, particularly examining short-term memory, decision-making, and time perception. His lab trains rats to perform complex cognitive tasks while recording neural activity, and develops computational models to explain the experimental findings. They have pioneered the study of 'internal signals' in neural activity that constitute 'the internal conversation of the mind,' with their key discovery being 'nTc' (Neurally-inferred Time of Commitment), a biomarker that indicates decision commitment before overt behavioral responses. Dr. Brody's laboratory has been continuously supported by HHMI (Howard Hughes Medical Institute) with renewal until 2032. They are currently conducting groundbreaking research using multiple Neuropixels probes for large-scale recordings across the brain while rats perform cognitive behaviors, representing what Dr. Brody considers the future of cognitive systems neuroscience that combines advanced recording technology, AI-based analysis, and well-controlled behavioral paradigms. Scientific Awards HHMI Investigator (renewed until 2032) Advising and Research Support Dr. Brody has mentored numerous successful researchers who have secured faculty positions and leadership roles: Marino Pagan (Nature publication, SFARI Bridge to Independence Award) Edward Nieh (faculty position at University of Virginia) Manuel Schottdorf (Nature publication) Sue Ann Koay (publications in Neuron and eLife, Group Leader at Janelia) Brian DePasquale (faculty position at Boston University) Emily Dennis (Group Leader at HHMI's Janelia) Ahmed El Hady (Group Leader at Max Planck Institute) Abby Russo (joined CTRL-Labs startup) Diksha Gupta (Best Paper Award at RLDM conference) His lab is currently supported by HHMI funding and is planning to implement next-generation Neuropixels probes in Spring 2025 to record from 6,000-12,000 neurons simultaneously across multiple brain regions. Research Team and Facilities The Brody Lab features a diverse team ranging from purely computational to purely experimental researchers. The lab emphasizes minimizing barriers between computational and experimental approaches, encouraging researchers to move freely along this spectrum based on their interests. They maintain state-of-the-art facilities for behavioral training, electrophysiological recordings, and computational analysis, with plans to implement next-generation Neuropixels recording technology in Spring 2025.

• Mild Cognitive Impairment
• Neuroscience
• Functional Connectivity
• +۵ مورد دیگر

Nena Lejko serves as a Lecturer in the Department of Social Sciences at University College Groningen, University of Groningen. Her research focuses on neurocognitive mechanisms in psychiatric and neurodegenerative conditions, with particular expertise in neuroimaging techniques. Her primary research interests include Mild Cognitive Impairment , Functional Connectivity analysis, Dissociative Disorders , and application of Electroencephalography and fMRI in clinical populations. Current work examines biomarkers for acute dissociation and planning deficits in cognitive impairment. Lejko's publication portfolio demonstrates strong trends in neuroimaging methodology applied to cognitive decline, with significant emphasis on meta-analytic approaches and translational neuroscience. Her 2020 meta-analysis on alpha power connectivity has garnered substantial attention with 48 Scopus citations and Wikipedia references. Research collaborations span multiple institutions, with notable partnerships at University Medical Center Groningen. Her work shows consistent funding support evidenced by open-access publication status and research metrics indicating significant real-world impact through news coverage and social media engagement.

• Team Dynamics
• Organizational Behavior
• Negotiation Theory
• +۳ مورد دیگر

Stephen Humphrey is the Alvin H. Clemens Professor of Management and Organization at the Smeal College of Business, Pennsylvania State University. His research focuses on social relations at work, with a primary emphasis on teamwork dynamics, negotiation theory, and organizational behavior. He holds a PhD in Organizational Behavior and Human Resource Management from Michigan State University and a BS in Psychology from James Madison University. Professor Humphrey's research explores two core areas: (1) the 'bottom-up' formative design of teams (including composition, role allocation, and reward structures), and (2) the 'top-down' management of existing teams (focusing on temporal dynamics, structural adaptation, and conflict resolution). His work on team microdynamics examines multilevel, multi-period, and multi-theoretical aspects of teamwork. His recent publications demonstrate strong research trends in team dynamics, organizational reputation, negotiation pedagogy, and ethical decision-making. Articles frequently employ meta-analytic approaches and focus on contextual factors influencing team performance across diverse settings. The research consistently bridges theoretical frameworks with practical organizational applications. Professor Humphrey teaches negotiation skills across undergraduate, MBA, EMBA, and executive education programs. He has developed several negotiation simulations derived from real-world scenarios and teaches doctoral seminars on organizational research design. As faculty advisor, he mentors PhD and DBA students in research methodology and academic development.

• Robotics
• Human-Robot Interaction
• Machine Learning
• +۷ مورد دیگر

Christian Smith is an Associate Professor and Lecturer at the Department of Robotics, Perception and Learning at Kungliga Tekniska Högskolan (KTH Royal Institute of Technology). His research focuses on robotics and applications in human-centered environments like home environments, small workshops, and healthcare facilities, including the development of new robotic systems for research. Teaching Roles: Course Coordinator/Teacher/Examiner for courses such as Introduction to Robotics (DD2410), Research Project in Robotics (DD2411), and Java Programming for Python Programmers (DD1380) Research Themes: Human-Robot Interaction, Behavior Trees, Exoskeletons, Intent Recognition, and Multimodal Perception Awards: No specific scientific awards mentioned in the provided text His KTH profile highlights work on adaptive robotics systems and formalized control strategies. The research portfolio spans from theoretical studies on behavior tree programming to applied work in assistive technologies and teleoperation systems.

• Organisational Behaviour
• Human Resources Management
• Creativity
• +۵ مورد دیگر

Roy CHUA is a Professor of Organisational Behaviour & Human Resources and Associate Dean for Post-Experience Postgraduate Programmes at the Lee Kong Chian School of Business, Singapore Management University. He holds a Ph.D. in Management (Organizational Behavior) from Columbia University and has held academic positions at Harvard Business School and Singapore Management University since 2008. His research focuses on creativity, cross-cultural management, leadership, and innovation in organizational contexts, particularly in Asian business ecosystems. Education: Ph.D., Management (Organizational Behavior), Columbia University (2008) M.A., Philosophy, Columbia University (Year not specified) B.Sc., First Class Honors, Computer and Information Services, National University of Singapore (1998) Research Interests: Dr. Chua's work examines how cultural factors influence creativity and innovation, including studies on cultural tightness, intercultural collaboration, and trust dynamics in global business environments. He has conducted groundbreaking research on gender disparities in creative processes and the impact of cultural diversity on organizational outcomes. His empirical studies often combine quantitative analysis with qualitative insights from multinational corporations and institutional data. Awards: Best Reviewer Award - Academy of Management Journal (2017) Multiple teaching awards including 'Mind Opener' MBA Award (2016) Academic excellence scholarships including Asia Life Gold Medal (1997) Research grants from Columbia University CIBER and other institutions Advising & Grants: Supervises doctoral candidates in General Management and DBA programs Lead researcher on projects funded by Singapore Management University and international grants Collaborations with institutions like MIT Sloan and Harvard Business School Labs/Teams: Leads research initiatives in organizational creativity and cross-cultural management at Lee Kong Chian School of Business, with active participation in global academic networks focused on Asia-Pacific business strategies.

• Neuroscience
• Cognitive Control
• Thalamocortical Circuits
• +۳ مورد دیگر

Michael Halassa is an Associate Professor in Neuroscience at the Tufts University School of Medicine in Boston, MA. His work focuses on understanding thalamocortical circuits and their role in cognitive functions like attention, decision-making, and psychiatric disorders. He holds dual degrees: a Doctor of Medicine (MD) from the University of Jordan (2004) and a PhD in Neuroscience from the University of Pennsylvania (2009). Research Interests: Dr. Halassa investigates how the thalamus regulates executive control, cognitive flexibility, and uncertainty processing. His lab explores neural mechanisms underlying schizophrenia, ADHD, and neurodevelopmental disorders using computational models, optogenetics, and electrophysiological techniques. Key themes include thalamic regulation of prefrontal cortex interactions, circuit dysfunction in mental illnesses, and translational approaches to restore neural connectivity. Recent Work Trends: His publications emphasize thalamic contributions to attentional control, decision-making under uncertainty, and circuit-level interventions for psychiatric conditions. Computational models link hyperactive D2 receptors to impaired belief updating in schizophrenia, while genetic studies (e.g., Shank3 mutants) reveal thalamic circuit修复 strategies. Articles highlight cross-species comparisons and clinical applications of thalamic neuroscience. Awards: No specific prizes/fellowships are listed in the provided texts. Advising/Grants: No student names or grant details were explicitly mentioned, though his research involves collaborative projects with labs studying neural circuits and psychiatric mechanisms. His work is likely funded through NIH grants and institutional support. Labs/Teams: His lab at Tufts focuses on thalamocortical systems and psychiatric disorders, employing interdisciplinary methods including electrophysiology, optogenetics, and computational modeling to dissect neural circuits underlying cognition.

• Medical Biometry
• Epidemiology
• Cognitive Dysfunction
• +۴ مورد دیگر

Insa Feinkohl is a Professor at the Chair of Medical Biometry and Epidemiology within the Faculty of Health at the University of Witten/Herdecke . Her research focuses on risk factors for cognitive dysfunction and mental health in older adults, particularly post-surgery, with emphasis on metabolic and cognitive risk factors. Bachelor of Science (BSc) in Psychology (1 st class honors) – University of Dundee (2006-2009) Master of Science (MSc) in Psychology of Individual Differences (with distinction) – University of Edinburgh (2009-2010) PhD in Community Health Sciences – University of Edinburgh (2010-2014) Post Doc in Knowledge Construction Group – Leibniz Institute for Knowledge Media, Tübingen (2014-2015) Postdoc in Molecular Epidemiology Group – Max Delbrück Center, Berlin (2015-2022) Habilitation in Molecular Epidemiology – Charité Universitätsmedizin Berlin (2021) Her research integrates medical biometry and epidemiology to study postoperative cognitive dysfunction (POCD), delirium, and aging-related cognitive decline. Key areas include biomarker validation (e.g., leptin, interleukins), brain connectivity (dopaminergic networks, thalamus), and metabolic risk factors (diabetes, obesity). She contributed to the BioCog project , an EU-funded initiative for personalized risk prediction of postoperative cognitive impairment. Her recent publications highlight trends in perioperative neuroscience, including brain mineralization, cytokine associations with neurocognitive disorders, and structural/functional imaging in delirium. Articles also explore metabolic syndrome, cognitive reserve, and delirium prediction models using machine learning. Insa Feinkohl is affiliated with major academic societies, including the German Society for Epidemiology , German Society for Medical Informatics, Biometry and Epidemiology , and the German University Association .

Ramana Vinjamuriمشاهده پروفایل

دانشیار

• Brain-Machine Interfaces
• Neuroprosthetics and Exoskeletons
• Machine Learning
• +۴ مورد دیگر

Ramana Vinjamuri is an Associate Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). He holds a secondary appointment as Visiting Professor at the Indian Institute of Technology, Hyderabad, India. His academic journey includes a Ph.D. in Electrical Engineering from the University of Pittsburgh (2008), M.S. in Bioinstrumentation from Villanova University (2004), and B.Tech. in Electrical and Electronics Engineering from Kakatiya University (2002). Dr. Vinjamuri's research focuses on Brain-Machine Interfaces (BMIs) for upper-limb prostheses control , neuroprosthetics and exoskeletons , machine learning in motor control , and neurophysiological signal processing . His work extends synergy-based models to control 37-dimensional hand movements, addresses human-robot interaction through emotionally intelligent systems, and develops neurotechnologies for substance use disorder using wearable sensors and AI. NSF CAREER Award (2019) NSF IUCRC BRAIN Center Planning Grant (2020) Harvey N Davis Distinguished Teaching Assistant Professor Award (2018) His publications demonstrate expertise in EEG and EMG signal analysis , deep learning for motor decoding , synergy modeling , and humanoid robot control . The Vinjamuri Lab at UMBC involves graduate, undergraduate, and high school researchers, with international collaborations in India and the US.

• Artificial Intelligence
• Multimodal Interaction
• Natural Language Processing
• +۴ مورد دیگر

Arash Eshghi is an Assistant Professor in the School of Mathematical & Computer Sciences at Heriot-Watt University, specializing in the Department of Computer Science. His research focuses on multimodal interaction, embodied AI, and dialogue systems, with applications in human-AI collaboration, vision-language models, and incremental processing. He leads projects like the EMMA and AlanaVLM frameworks, which explore embodied agents in 3D environments and egocentric video understanding. His work emphasizes ethical considerations in conversational AI, including dementia-friendly voice assistants and faithfulness in large language models. He collaborates internationally, with contributions to benchmarks like the BURCHAK corpus and the Block World repair framework. Eshghi’s research bridges computational linguistics, cognitive science, and robotics, addressing challenges in ambiguity resolution, spatial reasoning, and incremental dialogue processing. Key collaborations involve institutions like the University of Edinburgh and MIT, focusing on multimodal learning, dynamic syntax, and interactional semantics. His lab develops tools for grounded language learning and real-time interaction, with a focus on systems that adapt to human feedback and contextual dynamics.

Eirini Sanoudakiمشاهده پروفایل

استاد

• Bilingualism
• Developmental Disorders
• Child Language Acquisition
• +۳ مورد دیگر

Dr. Eirini Sanoudaki is a Professor in Linguistics (Bilingualism) at Bangor University's School of Arts, Culture and Language. She specializes in language development in monolingual and bilingual children, particularly those with developmental conditions such as Down syndrome, Rett syndrome, and neurodiverse populations. Her research focuses on bilingualism's impact on cognitive and linguistic skills in atypical development. She leads the Child Bilingualism Lab and has secured UKRI funding for projects like 'Language Development in Welsh-English bilingual children with Down syndrome and autism.' She is a Senior Fellow of the Higher Education Academy and Director of Postgraduate Research and Welsh Language Matters in her school. Education: BA in Philology (National and Kapodistrian University of Athens), PhD in Linguistics (University College London), MA in Linguistics (University of Reading). Research Interests: Bilingualism, neurodiversity, child language acquisition, developmental disorders, and the intersection of language and cognitive skills. She collaborates with organizations like the Down's Syndrome Association and explores innovative methods like creative techniques in language learning. Her work has been recognized with the 2021 National Work Welsh Award for promoting Welsh in the workplace. Grants & Projects: Includes ESRC Wales DTP grants, Impact Acceleration Awards, and Welsh Crucible grants. She supervises numerous PhD students studying bilingualism in neurodiverse populations. Recent publications address bilingualism in Rett syndrome, executive function in bilingual children, and Welsh-English language profiles in Down syndrome. Labs/Teams: Heads the Bangor University Child Bilingualism Lab, which investigates bilingualism's role in neurodiverse contexts. Engages in outreach through public lectures and workshops for families and educators.

Nicola Ballhausenمشاهده پروفایل

استادیار

• Developmental Psychology
• Cognitive Aging
• Prospective Memory
• +۱۲ مورد دیگر

Nicola Ballhausen is an Assistant Professor in the Department of Developmental Psychology at the Tilburg School of Social and Behavioral Sciences, Tilburg University, Netherlands. Her research focuses on cognitive and psychological aspects of aging, particularly prospective memory, executive function, and social influences on cognitive health in older adults. Her research interests include prospective memory , cognitive aging , metacognition , problem-solving in older adults , social cognition , and longitudinal studies of aging . She investigates how factors such as intergenerational contact, sense of purpose, and technology use impact cognitive performance and well-being in later life. Her work integrates experimental, survey-based, and qualitative methods, often in cross-national datasets like the Health and Retirement Study (HRS) and the English Longitudinal Study of Ageing (ELSA). The most recent articles highlight a strong focus on prospective memory across the lifespan , the role of social engagement in cognitive functioning , and designing accessible cognitive interventions for older adults. Her publications span top journals in gerontology, psychology, and cognitive science, reflecting interdisciplinary collaboration and methodological rigor. Dr. Ballhausen contributes to research aligned with the UN Sustainable Development Goals, particularly those related to healthy aging and well-being. She collaborates extensively with researchers across Europe and has contributed to major reference works such as The Oxford Handbook of Human Memory . Her work includes both empirical studies and methodological advancements, such as exploratory structural equation modeling. While no formal students or awards are listed, her role in supervising research and contributing to academic training is implied through her position and course involvement. Dr. Ballhausen is involved in the design and evaluation of web-based cognitive tools, such as the Shared, Web-based, Intelligent Flexible Thinking Training (SWIFT), emphasizing user-centered design and ecological validity. Her work bridges fundamental cognitive research with practical applications for aging populations.

Helena Mentisمشاهده پروفایل

استاد

• Human-Computer Interaction
• Computer Supported Cooperative Work
• Health Informatics
• +۴ مورد دیگر

Dr. Helena Mentis is Professor and Department Head of Information Science at Drexel University's College of Computing & Informatics. She holds a PhD in Information Sciences from Pennsylvania State University, an MS in Communication from Cornell University, and a BS in Psychology from Virginia Tech. Her research focuses on human-centered computing in healthcare, with emphases on telemedicine, online safety for vulnerable populations, and responsible technology design. Research Interests: Dr. Mentis investigates collaborative technologies for healthcare contexts using sociotechnical frameworks. Her work includes: Developing telemedicine systems for surgical training and rehabilitation Designing cybersecurity safeguards for older adults with cognitive impairments Creating ethical frameworks for computing education Awards & Leadership: US Fulbright Scholar (2021) Former Executive VP/President of ACM SIGCHI Grants & Labs: Secured $1.4M+ in NSF/Mozilla funding for projects like Telemedicine at Scale and Negotiating Cyber Systems Access . Directed UMBC's Center for Responsible and Inclusive Technology and Bodies in Motion Lab.

• Educational Psychology
• Learning from Errors
• Instructional Strategies
• +۳ مورد دیگر

Susanne Narciss is a Professor at the Psychology of Learning and Instruction department of Technische Universität Dresden, leading the Center of Tactile Internet with Human in the Loop (CeTI). Her research focuses on error processing in educational contexts, with 15 recent publications analyzing error climates, feedback strategies, and motivational frameworks. Key Research Areas : Learning from errors/failure, instructional feedback design, affective-motivational responses, error-related metacognition. Methodological Scope : Combines longitudinal studies, experimental designs, and qualitative analyses across K-12, university, and informal learning settings (museums, home contexts). Her work emphasizes context-specific interventions for educators, parents, and students, including error-competency training programs and metacognitive scaffolding tools. Current projects examine vibrotactile feedback systems for motor learning and cultural responsiveness in psychology education. Collaborative Networks : Works with international teams on the International Competences for Undergraduate Psychology model and cyber-physical system pedagogy. Recent Trends : 2025 articles focus on collaborative error processing, scenario-based human-machine interaction, and generative learning tasks in digital environments.