جست‌وجوی استاد و پژوهشگر

Julie Shahمشاهده پروفایل

استاد

• Robotics
• Human-Robot Interaction
• Autonomous Systems
• +۴ مورد دیگر

Julie Shah is the H.N. Slater Professor at the Department of Aeronautics and Astronautics and leads the Interactive Robotics Group at MIT’s Schwarzman College of Computing . She focuses on creating robots that work effectively alongside humans in dynamic environments, combining expertise in artificial intelligence, human factors, and systems engineering. BS, SM: Aeronautics and Astronautics (MIT) PhD: Autonomous Systems (MIT) Her research explores human-robot collaboration , emergent communication , and trust calibration in automated systems, with applications in manufacturing, surgery, and space exploration. Recent publications highlight advancements in language-guided abstraction , human-in-the-loop policy adaptation , and ethics-aware AI . Julie Shah has received prestigious accolades including the NSF CAREER award and recognition in the MIT Technology Review TR35 . Her lab’s work on industrial human-robot collaboration was named one of the 10 Breakthrough Technologies of 2013 by Tech Review. She previously worked at Boeing Research and Technology , where she developed innovative methods for human-robot teamwork in safety-critical domains. Her lab at MIT continues to push boundaries in robot locomotion , situational awareness , and sociotechnical systems .

• Cognitive Psychology
• Cognitive Neuroscience
• Metacognition
• +۵ مورد دیگر

Timofey Aleksandrovich Berezner is a Lecturer and Junior Research Fellow at the National Research University Higher School of Economics (HSE), affiliated with the Faculty of Social Sciences and Department of Psychology. He serves as Deputy Head of the Department for student-related affairs and conducts research at the Laboratory for Cognitive Psychology of Digital Interface Users (HSE UX Lab). Since joining HSE in 2019, he has developed expertise in cognitive psychology, metacognition, and human-computer interaction. Education includes: Master's in Psychology (HSE, 2023) Bachelor's in Psychology (HSE, 2021) Professional retraining in Psychotherapy (2023-2024) Multiple professional development courses including Cognitive Science (Sofia, 2021), AI fundamentals (2024), and Schema Therapy (2023) Research focuses on: Cognitive processes in digital interfaces and learning environments Metacognitive regulation in decision-making and executive control Perceptual factors (disfluency effects, font psychology) AI-human cognition interactions His work bridges cognitive neuroscience with practical applications in UX design and education. Publication analysis reveals strong emphasis on: Metacognitive regulation mechanisms Perceptual influences on cognition Cognitive load measurement (NASA-TLX adaptation) Empirical studies of disfluency effects Human-AI interaction challenges Awards and Recognition: Best Teacher (2025) HSE High Professional Potential Group - New Researchers (2022-2023) Departmental commendation (2022) Winner of HSE Science Battles (2022) Professional activities include: Doctoral research on perceptual factors in metacognition Teaching cognitive psychology courses Membership in HSE UX Lab researching digital interface cognition External roles as AI-trainer at YandexGPT and lecturer at RANEPA

• Cognitive Psychology
• Developmental Psychology
• Temporal Processing
• +۳ مورد دیگر

Stefan Pichelmann is a Senior Lecturer at the Department of Psychology , University of Fribourg , affiliated with the Faculty of Letters and Human Sciences. His academic work spans cognitive, developmental, and temporal processing research. Contact: stefan.pichelmann@unifr.ch | +41 26 300 7652 | RM 01 bu. C-2.110, Rue PA de Faucigny 2, 1700 Fribourg Research Focus: Pichelmann investigates cognitive mechanisms in spatial perspective-taking, time perception, and sensory integration. His work applies psychometric and experimental methods to analyze how numerical values, spatial tasks, and sensory modalities influence temporal judgments. Key Trends in Publications: Recent studies (2013–2023) emphasize spatial cognition , temporal processing , sensory integration , and cognitive workload . Articles on digit magnitude effects, mental rotation, and multisensory timing highlight interdisciplinary intersections with neuroscience and psycholinguistics. Departmental Affiliation: Active in the Department of Psychology, his research aligns with teams like Cognitive Development and Clinical Psychology, contributing to foundational and applied psychological sciences.

Mustafa Tosunمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Artificial Neural Networks
• Deep Learning Algorithms
• +۶ مورد دیگر

Assoc. Prof. Dr. Mustafa Tosun is a faculty member at Simav Faculty of Technology, Dumlupinar University, where he serves in the Department of Electrical-Electronic Engineering. With a PhD in Electrical and Electronic Engineering from Sakarya University, he has established himself as a researcher specializing in the application of artificial intelligence to biomedical signal processing. His educational background includes a Bachelor's degree in Electrical-Electronic Engineering from Selcuk University (1988-1992), followed by a Master's degree from Dumlupinar University (1994-1997), and ultimately his doctorate from Sakarya University (1998-2004). Prior to his current academic position, he gained valuable industry experience working at Turk Telekom Inc. from 1999-2006 in the Information Networks Directorate. Professor Tosun's research primarily focuses on Artificial Intelligence applications in biomedical engineering , with special emphasis on EEG signal processing using deep learning techniques. His work spans multiple domains including Brain Computer Interfaces, cognitive workload measurement, pain threshold estimation, and neurological disorder classification. He has published extensively in these areas, with a notable increase in publications during 2020-2022. His recent publications demonstrate a strong trend toward applying advanced machine learning techniques to solve complex biomedical problems, particularly in EEG signal analysis and classification. The research shows consistent focus on improving signal processing methods, artifact removal, and developing more accurate classification systems for various medical applications. As an educator, Professor Tosun teaches a wide range of courses including: Fundamentals of Biomedical Engineering Fuzzy Logic Introduction to Electrical and Electronics Engineering Electronics I & II Artificial Neural Networks Neural Networks and Deep Learning He actively supervises graduate students, with numerous ongoing and completed theses in areas such as EEG-based psychiatric disease investigation, brain-computer interfaces, and pain classification systems. His research group appears well-established with multiple concurrent projects addressing different aspects of AI applications in biomedical engineering.

• Construction Management
• Human-Centered Project Management
• Wearable Sensors
• +۲ مورد دیگر

Lynn Shehab is an Assistant Professor in the Civil and Environmental Engineering Department at the University of Alberta's Faculty of Engineering. Her research and teaching focus on construction management, integrating human-centered design principles, wearable technologies, and simulation models to enhance project planning, control, and workforce well-being. Research Interests: Current work emphasizes Lean Construction 4.0, agent-based simulation for analyzing team dynamics, and the application of wearable sensors to bridge cognitive and physiological aspects of construction labor. She explores innovative metrics like the Last Planner System (LPS) for resource allocation and gamification to improve project control. Publications: Recent articles investigate chaos theory in project management, psychophysiological impacts on construction crews, and digital human modeling for workload estimation. Her studies span simulation frameworks, improvisation in planning, and post-disaster reconstruction strategies (e.g., Beirut port explosion case study). Courses: She teaches CIV E 406, which covers construction estimating, planning, and control, including risk analysis and bid preparation.

Alfonso Miguel García Hernándezمشاهده پروفایل

مدرس ارشد

• End-of-life care
• Grief and bereavement
• Death studies
• +۳ مورد دیگر

Alfonso M. García Hernández is Senior lecturer of Nursing Theory at the University of La Laguna (Tenerife, Spain). He belongs to the Department of Nursing and is part of the CUFINVIDA research group focused on end-of-life care and thanatology. His educational background includes a Nursing degree (1983), an Anthropology degree (2000), and a PhD in Anthropology from the University of La Laguna. His doctoral thesis "El significado de perder un hijo la construcción discursiva del duelo de padres y madres" (2010) was the first study in Canary Islands devoted to narratives of parental grief. García Hernández's research primarily focuses on end-of-life care, dying, grief, and bereavement. His work often explores the anthropological and nursing perspectives on death, loss, and the grieving process, with particular emphasis on parental grief after child loss. He has conducted extensive research with over forty parents in Tenerife who have experienced child loss, examining psychological, social, and physical reactions to loss and the reconstruction of a new normality. His recent publications show a consistent focus on grief studies, nursing interventions in end-of-life care, palliative care evolution, and the application of standardized nursing languages in various healthcare contexts. His work spans multiple disciplines including nursing, anthropology, psychology, and sociology, reflecting his interdisciplinary approach to understanding death and bereavement. García Hernández has authored numerous books on grief and loss, including a trilogy that explores the human experience of mourning from multiple perspectives. His publications demonstrate a commitment to understanding grief as both a natural biological process and a culturally constructed phenomenon. He maintains an active research profile with recent publications in 2023-2024 across various journals focusing on nursing practice, mental health, and end-of-life care. His work appears in both Spanish and English language publications, indicating an international scholarly reach.

Ying Liuمشاهده پروفایل

استاد

• Engineering Informatics
• Digital Manufacturing
• Intelligent Manufacturing
• +۴ مورد دیگر

Ying Liu is Professor and Chair in Intelligent Manufacturing at Cardiff University's Mechanical and Manufacturing Engineering department, where he leads the High-value Manufacturing Group and directs his eponymous research lab. His affiliations include continuous roles at Cardiff since 2018, emphasizing leadership in industrial digitalization. His research spans: AI/ML Engineering : Generative design, LLMs for manufacturing Q&A, and synthetic data generation. Smart Manufacturing : Digital twins for predictive maintenance, human-robot collaboration, and sustainable production. Industrial Informatics : Knowledge graphs for fault diagnosis and multi-domain data fusion. Recent publications (2022-2025) show a focus on Industry 5.0, with 63% emphasizing AI integration (deep learning, Transformers) and 37% addressing sustainability (energy optimization, circular economy). Trends indicate growing work on human-centric systems and LLM-driven industrial automation. He leads Ying Liu's Lab , which pioneers projects in cyber-physical systems, collaborative robotics, and battery digital twins. No awards or grants are detailed, but his editorial roles (e.g., Journal of Manufacturing Systems special issues) highlight scholarly influence.