جست‌وجوی استاد و پژوهشگر

Elena Tavernaمشاهده پروفایل

پژوهشگر

• Developmental Neuroscience
• Neural Stem Cell Biology
• Brain Evolution
• +۴ مورد دیگر

Elena Taverna is a Research Group Leader at the Neurogenomics Research Center of Human Technopole in Milan. She leads the Taverna Group which focuses on uncovering the cellular and molecular mechanisms underlying brain development and synapse formation. Her research spans three main directions: Stem cells meet robotics : Developing automated systems for single-cell manipulation and multimodal analysis of neural stem cells Stem Cell Identity in Brain Development : Investigating how cellular processes influence neural stem cell behavior in health and disease Time and the cell biology of neurons : Studying temporal regulation of synapse formation and neuronal function across evolution Her work combines developmental neuroscience with robotics, multicellular multi-omics, and cell biology approaches. Recent research includes epigenetic regulation of neural stem cell division as published in EMBO Reports (2023), demonstrating how DOT1L inhibition affects cortical neurogenesis through lineage tracing and single-cell RNA sequencing. Dr. Taverna mentors a diverse team including PhD students, postdocs, and research fellows. Her group includes current members Martina Polenghi, Valentina Rava, Maria Elena Scordato, Giulia Visani, Salma Amin, Matteo Cereda, Paolo Cucchi, Irene Majer, Yonatan Metzger, and Asia Muraca, as well as alumni who have gone on to positions at institutions including UC San Diego, IGBMC Strasbourg, PAR Systems, and the University of Genoa.

Brian Herrmannمشاهده پروفایل

دانشیار

• Pediatric Otolaryngology
• Hearing Loss
• Olfactory Dysfunction
• +۴ مورد دیگر

Brian Herrmann, MD is an Associate Professor at the University of Colorado Anschutz Medical Campus School of Medicine, affiliated with Children's Hospital Colorado. He practices at both the North Campus in Broomfield and Anschutz Medical Campus in Aurora, focusing on pediatric otolaryngology with expertise in ear disease, hearing loss, and sleep apnea surgery. MD - University of Iowa Roy J. and Lucille A. Carver College of Medicine (1997) BSE - University of Iowa (1992) Residency & Chief Resident - St. Louis University (2002) Pediatric Otolaryngology Fellowship - Washington University in St. Louis (2004) His research spans postmeningitic hearing loss , COVID-19 olfactory dysfunction , and middle ear surgical innovation , with 29 publications to date. Recent work includes pediatric olfactory training protocols and aerosol risk mitigation in ENT surgeries. Article trends indicate a focus on pediatric auditory disorders , infectious disease complications , and surgical technology development . He received the William B. Harkins Research Award (2000) and is board-certified in Otolaryngology. American Academy of Otolaryngology-Head and Neck Surgery (Fellow) American Board of Otolaryngology (Diplomate) American Society of Pediatric Otolaryngology (Member) Practicing conservative and compassionate care , Herrmann specializes in pediatric ENT conditions including sinusitis, tonsil/adenoid issues, and vocal cord paralysis. Personal interests include golf and college football.

• Robotics
• Computer Vision
• Machine Learning
• +۶ مورد دیگر

Oliver Brock is an Alexander von Humboldt Professor at the Technical University of Berlin, where he leads research in robotics and computational intelligence. His work focuses on developing algorithmic foundations that enable robotic agents to perform complex tasks in dynamic environments, with applications extending to structural molecular biology. Brock also serves as Track Director for the Cognitive Systems and Science of Intelligence study programs, and previously chaired the Department of Computer Engineering and Microelectronics from 2013-2015. Education: Ph.D. in Computer Science, Stanford University (2000) Master of Science in Computer Science, Stanford University (1994) Diplom in Computer Science, Technical University of Berlin (1993) Brock's research spans robotics, computer vision, and computational biology. His laboratory develops algorithms for motion planning, manipulation, and perception that allow robots to operate effectively in human environments. Notably, his team applies robotics principles to solve problems in protein structure prediction and molecular biology, creating a unique bridge between synthetic and biological intelligence research. His work emphasizes uncertainty modeling, adaptive behavior, and the integration of learning with physical constraints. Analysis of his recent publications reveals a strong interdisciplinary trajectory connecting robotics with cognitive science, neuroscience, and biology. His research increasingly explores how computational models from robotics can illuminate biological processes, while biological insights inform more robust robotic systems. Key themes include uncertainty modeling in perception and decision-making, the physics of manipulation, and the computational foundations of intelligence across different substrates. Selected Awards: Alexander von Humboldt Professorship (2009) NSF CAREER Award (2006) Best Systems Paper Award at Robotics: Science and Systems (2016) First Place in Amazon Picking Challenge (2015) Multiple awards at Critical Assessment of Structure Prediction (CASP) competitions Brock actively mentors students and postdoctoral researchers, with several of his advisees receiving best paper awards. His laboratory receives substantial funding from German research foundations, the European Union, and industry partnerships focused on advancing robotic manipulation and perception. He serves on editorial boards for leading robotics journals including Autonomous Robots and the International Journal of Robotics Research. The Robotics and Biology Laboratory (RBO) at TU Berlin, led by Brock, maintains strong collaborations with biological research institutions and focuses on developing physically grounded computational models that work across both robotic and biological domains. Current projects emphasize uncertainty-aware perception, adaptive manipulation strategies, and the computational principles underlying intelligent behavior in complex environments.

• Cognitive Systems
• Social Interaction
• Gesture-Speech Integration
• +۳ مورد دیگر

Dr. Olga Abramov is a researcher at Bielefeld University, affiliated with the Faculty of Engineering and the Center for Cognitive Interaction Technology (CITEC) as part of the Cognitive Systems and Social Interaction Group. Research Interests: Her primary research areas include cognitive systems, social interaction, gesture-speech integration, child language development, human-robot interaction, and applying network theory to linguistics. Her work explores how humans, particularly children, integrate information across different modalities like speech and gesture, and how these insights can inform the design of more intuitive human-robot interactions. Recent Research Trends: Dr. Abramov's recent publications (2024-2025) demonstrate a strong focus on child development and multimodal communication, with studies examining preschool children's cognitive abilities, discourse competence, and gesture use across different communicative contexts. She has also expanded her research into human-robot interaction, investigating how humans perceive and interpret robot gestures. Her earlier work (2018-2011) includes significant contributions to network theory applied to linguistics, examining language classification through syntactic dependency networks. Collaborations: She frequently collaborates with researchers including Friederike Kern, Ulrich Mertens, Anne Németh, Stefan Kopp, and Katharina Rohlfing on child development studies, and with Tatiana Lokot and Alexander Mehler on network theory research.

• Artificial Intelligence
• Human-Computer Interaction
• Affective Computing
• +۴ مورد دیگر

William Saakyan is a researcher at Bielefeld University's Faculty of Engineering, working within the Human-Centered Artificial Intelligence Group at the Center for Cognitive Interaction Technology (CITEC). His office is located in CITEC 3-110, and he can be reached at +49 521 106-2920 with telephone secretariat support available at +49 521 106-6891. His research spans the critical intersection of artificial intelligence and human social behavior analysis, with particular emphasis on healthcare applications and child psychology. Saakyan's technical expertise combines computer vision, machine learning, and signal processing to develop systems capable of understanding human physiological states and social interaction patterns under real-world constraints. Analysis of his publication record reveals a consistent focus on creating clinically relevant tools that address practical challenges in low-illumination physiological measurement, social interaction assessment in children, and bias mitigation in emotion recognition systems. His work on the Simulated Interaction Task for Children (Kids-SIT) represents a significant contribution to standardized assessment methodologies for social anxiety disorders. Saakyan's research aligns with Bielefeld University's strategic Socio-Technical World research area, which investigates capabilities enabling humans, robots, and AI systems to act and communicate effectively in complex environments. His publications demonstrate strong interdisciplinary collaboration between computer science, psychology, and clinical practice.

• Cognitive Neuroscience
• Multisensory Perception
• Neural Oscillations
• +۳ مورد دیگر

Prof. Dr. Christoph Kayser is a Professor and Chair for Cognitive Neuroscience at the Faculty of Biology, University of Bielefeld, Germany. He also holds positions at the Center for Cognitive Interaction Technology (CITEC) as both a Participating Research Group member in Cognitive Neuroscience and as a Board member of CITEC. His research is situated at the intersection of cognitive neuroscience, multisensory integration, and neural mechanisms of perception. His primary research interests include multisensory perception and integration in the brain, perceptual decision making, neural oscillations and their role in cognition, auditory perception and the function of auditory cortex, and mathematical tools in neuroscience. His work bridges theoretical approaches with empirical neuroscience, focusing on how the brain integrates information from multiple sensory modalities to form coherent perceptions and guide behavior. Analysis of his recent publications reveals a consistent focus on multisensory integration mechanisms, particularly examining how visual, auditory, and other sensory inputs are combined in the brain. His research demonstrates increasing interest in respiratory-brain interactions, the role of neural oscillations in perceptual processes, and the development of computational models to explain multisensory phenomena. Notably, his work spans both fundamental research on neural mechanisms and applied research in areas like auditory rehabilitation following cochlear implantation. Fellow of the Royal Society of Biology, FRSB (2016) Attempto Prize of the University of Tübingen (2009) Otto Hahn Medal of the Max Planck Society (2007) PhD Fellowship Neuroscience Center Zurich (2001) Professor Kayser serves as a reviewing editor for 'The Journal of Neuroscience' since 2015. His academic career shows a trajectory from research positions at the Max Planck Institute and ETH Zurich to professorial roles at the University of Glasgow and currently at Bielefeld. His research is supported through the Center for Cognitive Interaction Technology (CITEC), one of the Central Academic Institutes at Bielefeld University, which promotes interdisciplinary research on cognitive systems. His laboratory work focuses on neural mechanisms of multisensory perception, utilizing approaches including EEG/MEG, behavioral experiments, and computational modeling. The research group is part of the Socio-Technical World strategic research area at Bielefeld University, which explores capabilities and mechanisms that enable agents such as humans, robots, and AI to operate, communicate, and learn in complex environments.

Anju Ranjitمشاهده پروفایل

استادیار

• Implementation of Evidence-based care in Perinatology
• Global health
• Fetal Growth Restriction
• +۳ مورد دیگر

Anju Ranjit, MD, MPH serves as an Assistant Professor in the Department of Obstetrics, Gynecology and Reproductive Sciences at the University of California, San Francisco (UCSF) School of Medicine. Her clinical practice and research are focused within the Maternal-Fetal Medicine & Reproductive Genetics division, where she provides specialized care for high-risk pregnancies and contributes to UCSF's multidisciplinary approaches including the Multidisciplinary Approach to the Placenta Service (MAPS) and UCSF Pregnancy and Cardiac Treatment (PACT) Program. Dr. Ranjit completed her Maternal-Fetal Medicine Fellowship at UCSF in 2024, following an Obstetrics, Gynecology and Reproductive Sciences Residency at Howard University Hospital in Washington DC (2021). She earned her MPH with a concentration in Women and Reproductive Health from Johns Hopkins Bloomberg School of Public Health in 2014. Her educational background reflects a strong foundation in both clinical obstetrics and public health approaches to women's health. Her research program centers on implementation of evidence-based care in perinatology within low- and middle-income countries (LMIC), with particular emphasis on malaria prevention during pregnancy and fetal growth restriction. Dr. Ranjit's work bridges clinical obstetrics with global health implementation science, focusing on how to effectively translate medical knowledge into practice in resource-limited settings. Her research frequently involves collaborations with institutions in Nepal and Uganda, addressing health disparities and developing context-appropriate interventions for maternal and fetal health. Analysis of her recent publications reveals consistent focus on malaria in pregnancy (accounting for approximately 30% of her work), health disparities (25%), implementation science in global health settings (20%), and maternal mental health (10%). Her research methodology spans randomized clinical trials, epidemiological analyses of large datasets, and implementation-focused studies in international settings, demonstrating methodological versatility aligned with her global health focus. Queenan Global Health, Investigator-Initiated Research Project Award from the Society of Maternal Fetal Medicine (2022) Outstanding Resident Teaching Award from UCSF (2022) Patient Care Award from Howard University Hospital (2021) Resident Research Award from Howard University Hospital Department of OBGYN (2021) Dr. Ranjit has demonstrated significant engagement in global health capacity building, particularly through diaspora-driven research initiatives in Nepal. Her work extends beyond direct patient care to include development of evidence-based protocols for resource-limited settings, with emphasis on sustainable implementation strategies. She has contributed to multiple initiatives focused on strengthening research capacity in low-resource environments, reflecting her commitment to building local expertise rather than temporary interventions.

Otger Campas Rigauمشاهده پروفایل

استاد

• Biophysics
• Developmental Biology
• Mechanical Engineering
• +۳ مورد دیگر

Dr. Otger Campas Rigau is a Full Professor at the Chair of Tissue Dynamics (PoL) and serves as Director of the Clusters of Excellence PoL: Physics of Life at Technische Universität Dresden (TU Dresden). His research focuses on the biophysical mechanisms governing tissue morphogenesis and cellular mechanics, particularly in developmental biology contexts such as zebrafish axis elongation and nuclear jamming transitions during organogenesis. He employs interdisciplinary approaches combining physics, mechanical engineering, and bioengineering to study mechanical stresses in biological systems. Recent publications highlight his work on: Automated geometrical characterization of deformable particles for in vivo stress measurements Programmable robotic collectives with spatiotemporal control Nuclear jamming transitions in vertebrate organ development

Antony Hodgsonمشاهده پروفایل

استاد

• Biomedical Engineering
• Medical Robotics
• Surgical Navigation
• +۴ مورد دیگر

Antony Hodgson is a Professor in the Department of Mechanical Engineering at the University of British Columbia, Faculty of Applied Science. He serves as Associate Head, Teaching, and co-leads the Surgical Technologies Laboratory. Education: B.A.Sc., M.A.Sc. - University of British Columbia Ph.D. - MIT and Harvard University Postdoctoral Fellowship - Clemson University Research Interests: Computer-Assisted Orthopaedic Surgery Medical Robotics and Surgical Navigation Biomechanics and Image Processing Surgical Simulators and Skill Assessment Neuromotor Control and Clinical Workflow Optimization Scientific Awards: Excellence in Computer Assisted Orthopaedic Surgery Award (2017) Best Technical Poster Award, ICASS (2013) Collaborations: Actively conducts interdisciplinary research and welcomes collaborations with clusters, grants, and undergraduate researchers.

Rebecca Toddمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Human Cognition and Emotion
• Neurophenomenology
• +۶ مورد دیگر

Rebecca Todd is an Associate Professor in UBC's Department of Psychology within the Faculty of Arts, and a member of the Centre for Brain Health. She specializes in cognitive neuroscience with a focus on the interaction between emotion and cognition in health and psychopathology. Her research employs brain imaging methods and laboratory experiments to investigate how we process affective salience and how this influences perception, learning, and memory. Dr. Todd earned her PhD in Developmental Science and Neuroscience from the University of Toronto in 2008. Prior to her academic career in neuroscience, she was a contemporary dance choreographer and journalist, which has informed her unique interdisciplinary approach to studying cognition through movement and interaction. Her research program focuses on neurocognitive processes underlying the interaction between human emotion and cognition. She investigates how we process affective salience (emotional/motivational importance) of objects and events, and how this influences perception, learning, and memory. Her work examines individual differences in how we filter the world to perceive specific categories of salient events (threatening vs. rewarding), how such filters develop over time, and their consequences for emotional health. Specific programs include investigation of neurocognitive processes underlying effects of acute stress on attention, learning, and memory, and attentional biases predicting treatment outcomes in depression. Dr. Todd's recent publications show an evolving research trajectory that increasingly integrates participatory sensemaking, ecological approaches to cognition, and multidisciplinary perspectives. Her work spans cognitive neuroscience, clinical applications, dance cognition, and embodied approaches to understanding how we interact with our environment. The breadth of her research demonstrates a commitment to understanding cognition as embedded in real-world contexts rather than isolated laboratory settings. Michael Smith Foundation for Health Research Scholar Award (2017) CIHR New Investigator Award (2016) Dr. Todd leads the Motivated Cognition Lab at UBC, where she employs a multi-method approach including EEG, fMRI, psychophysiology, eye tracking, and genotyping to assess how common genetic variations interact with life experience to shape brain activity. Her lab investigates how these interactions influence emotional filters for perceiving and remembering. She is affiliated with MATRIX-N: Multidisciplinary Alliance for Translational Research and Innovation in Neuropsychiatry, reflecting her commitment to interdisciplinary collaboration. While she is not currently accepting graduate students, her research continues to advance understanding of the neurocognitive basis of emotional experience and its impact on cognition.

Kim Astorمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Child Development
• Social Development
• +۷ مورد دیگر

Kim Astor is a Postdoctoral Researcher at Uppsala University's Department of Psychology, specializing in Developmental Psychology. Based at Von Kraemers allé 1A och 1C in Uppsala, Astor conducts empirical research at the intersection of child development and artificial intelligence. Research interests span two primary domains: Children's Interaction with AI : Investigating trust in AI systems, learning impacts, and developmental implications of screen-based AI/social robots Social Development in Infants : Examining gaze following mechanisms, nonverbal communication, cultural variations, and influences of parental mental health Methodologically focused on eye-tracking and cross-cultural studies, including fieldwork in Bhutan. Recent publications (2018-2025) reveal strong trends in: AI-manipulated video techniques for infant gaze analysis Cross-cultural resilience studies amid war/climate change Maternal depression impacts on joint attention Theoretical frameworks for gaze following development Work appears in top journals including Psychological Science , Developmental Psychology , and Child Development . Altmetric attention shows significant engagement: 8 news outlet pickups for 2022 Bhutan study 92 Mendeley readers for 2020 Royal Society paper 31 X/Twitter mentions across multiple publications Astor's collaborative network includes Gustaf Gredebäck (Uppsala), Herbert Ainamani (Uganda), Linda van den Berg (Netherlands), and Joshua Juvrud (Bhutan studies). Current projects focus on establishing empirical guidelines for children's AI interactions before societal entrenchment of these technologies.

• Perception-action loops
• Animal behavior
• Sensory substitution
• +۸ مورد دیگر

Christian Graff is an HDR lecturer at the University of Grenoble Alpes, affiliated with the Laboratory of Psychology and Neuro-Cognition (LPNC). His research spans multiple disciplines including neurosciences, psychophysique, and ethology, with a focus on perception-action loops, animal behavior, sensory substitution, and rhythms. He serves as a disability reference teacher for psychology students at the university. Graff's research interests center on irregular rhythms, intermodal sensory perception, and human/cognitive systems. His work explores how rhythmic patterns in biological systems inform our understanding of temporal processing, from electric fish signaling to human finger-tapping and eye blinking. He investigates sensory substitution systems to assist visually impaired individuals in spatial navigation and has developed innovative approaches to multimodal guidance using sound metaphors. His publication trends reveal a progression from neuroethology of electric fish to psychophysics and evolutionary psychology. Recent work focuses on sensory substitution for spatial awareness, virtual reality embodiment, and rhythmology. His research bridges biology, psychology, and technology, examining how humans interact with space through multiple sensory channels and how these insights can inform assistive technologies. Graff collaborates extensively across disciplines through projects like SAM-guide (Spatial Awareness from Multimodal guidance), CDP Boot (Cross-disciplinary Program for robot interaction), and FISHIF (Fish In Silico with Hydrodynamic and Social Interaction Forces). He participates in interdisciplinary collectives including CARMEN (Consciousness, Attention, Representation Mentale) and the "Rhythmologies" and "Humanibots" research axes at MSH-Alpes. His laboratory work involves the Babylab and focuses on perception-action systems, with current projects exploring voice control of flying robots, sensory substitution devices, and the metalinguistic function of spontaneous eye blinking. His team combines experimental approaches from ethology, psychophysics, and virtual reality to investigate how humans and animals perceive and interact with space across different temporal scales.

Shadi Abpeikarمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Swarm Robotics
• Swarm Intelligence Algorithms
• +۶ مورد دیگر

Dr. Shadi Abpeikar is a Research Fellow at the School of Engineering and Technology, University of New South Wales (UNSW) Canberra. She holds a PhD in Computer Science from AmirKabir University of Technology (2019) and a Master's in Computer Science (2013), with her Bachelor's degree in Applied Mathematics from Iran University of Science and Technology (2011). Education : PhD Computer Science (2019), MSc Computer Science (2013), BSc Applied Mathematics (2011) Her research focuses on machine learning , swarm robotics , and swarm intelligence algorithms , with applications in collective motion tuning , intelligent transportation systems , and decision support systems . Recent work explores deep reinforcement learning for swarming skills and deep learning/CFD integration for battery safety. Key trends in her publications include transfer learning for robotic platforms, collective motion recognition via neural networks, and swarm coverage problems in unknown environments. Notable grants include $45,000 for Li-ion battery fire risk mitigation (2024) and $68,645 for heterogeneous robot swarms (2023). Scientific Awards : IEEE TenSYMP Best Paper (2023), AFHEA Fellowship (2021), highest bachelor's score (2011), best master's thesis (2013) She supervises PhD students Mahtab Mohtasham Khani , Ryan Locke , and Hadha Afrisal . Professional activities include IEEE ACT Young Professional Committee (2023), Publicity Chair for ACRA 2023, and leadership roles in YoWIE and ECAN.

• Human-Robot Interaction
• Developmental Robotics
• Signal and Image Processing
• +۴ مورد دیگر

Hakim GUEDJOU is a Teacher-Researcher affiliated with CESI School of Engineering and part of the Engineering and Digital Tools research team. His work bridges human-robot interaction and autonomous learning systems with applications in social behavior analysis.

Mohammad Reza Mousaviمشاهده پروفایل

استاد

• Software Testing
• Autonomous Systems
• Cyber-Physical Systems
• +۷ مورد دیگر

Mohammad Reza Mousavi is a Professor of Software Engineering at the Department of Informatics , Faculty of Natural, Mathematical & Engineering Sciences , King's College London. His research focuses on Software Testing , Autonomous Systems , Cyber-Physical Systems , Software Product Lines , and Formal Semantics and Verification . Key projects include ITEA GENIUS (2025–2028), GreenCode (2024–2027), and QAssure (2024–2026), addressing topics like quantum software verification and ethical autonomous systems . Recent work explores carbon footprint analysis in code development, doping detection in concurrent systems, and trust calibration in AI-enabled systems. He contributes to IEEE TRANSACTIONS ON SOFTWARE ENGINEERING , ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY , and workshops like ResponsibleSE 2025 and CONCUR 2025 . Collaborations span institutions including Reykjavik University , Eindhoven University of Technology , and Chalmers University of Technology .