جست‌وجوی استاد و پژوهشگر

• Augmented Reality
• Design Prototyping
• Human-Computer Interaction
• +۳ مورد دیگر

Jouke C. Verlinden is a researcher affiliated with TU Delft, Netherlands. His work focuses on the intersection of augmented reality, design prototyping, and human-computer interaction. He has contributed to advancements in 3D printing, material science, and immersive technologies applied to cultural heritage preservation, medical device design, and industrial automation. Key research interests include: Augmented and virtual reality applications in design processes Development of fabrication technologies for shape-changing interfaces Evaluation of haptic and auditory interfaces in human-robot collaboration Digital restoration methods for cultural artifacts Notable contributions include comparative studies on face mask materials during the pandemic, heuristic evaluations of respirator comfort, and experimental work on fused filament fabrication techniques. His research has been published in venues like ISMAR, AHFE, and IEEE VR conferences, with a focus on practical applications of interactive technologies in industrial and cultural contexts.

Mai Otsukiمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Augmented Reality
• Virtual Reality
• +۵ مورد دیگر

Mai Otsuki is an Associate Professor in the Department of Information and Computer Science at Keio University's Faculty of Science and Technology, specializing in Human-Computer Interaction with a focus on Augmented and Virtual Reality systems. Her research spans nearly two decades, with an extensive publication record in top-tier venues including CHI, UIST, VRST, and IEEE Transactions on Visualization and Computer Graphics. Dr. Otsuki's primary research interests center on developing novel interaction techniques for augmented and virtual environments, particularly focusing on remote collaboration, spatial interfaces, and haptic feedback systems. Her work addresses fundamental challenges in how humans perceive and interact with virtual elements, with practical applications in remote instruction, industrial training, sports education, and service industry skill development. She has pioneered approaches for gaze representation, semantic labeling in AR, and physical interaction with virtual objects. Her recent publications (2023-2025) demonstrate continued innovation in applying AR/VR technologies to practical domains including industrial machinery operation, shopping experiences, and assembly tasks, with growing emphasis on physiological metrics and cognitive load assessment. Her work consistently bridges theoretical HCI principles with real-world applications, showing particular strength in experimental design and user-centered evaluation methodologies. Dr. Otsuki has established a robust collaborative network with researchers across Japan and internationally, frequently working with Hideaki Kuzuoka, Asako Kimura, Fumihisa Shibata, and Hideyuki Tamura. Her research group appears to focus on developing practical AR/VR systems that address specific human performance challenges in collaborative and instructional contexts.

• Neuroethology
• Sensory Neurophysiology
• Auditory and Visual Perception
• +۳ مورد دیگر

Dr. Dardo N. Ferreiro is a Researcher in the Faculty of Biology at Ludwig Maximilian University of Munich, Germany, working within Prof. Benedikt Grothe's neurobiology research group. Based in Room C03.051 at Großhaderner Straße 2, Planegg-Martinsried, he bridges neuroscience and experimental psychology through interdisciplinary research spanning Latin America and Germany. His position leverages a PhD in Neuroscience to develop innovative cross-species experimental frameworks. Dr. Ferreiro's research program centers on Neuroethology and Sensory Neurophysiology, with core expertise in Auditory and Visual Perception, Decision Making, Social Interaction, and Crowd Cognition. He pioneers naturalistic experimental paradigms that capture complex behaviors in freely moving humans and rodents, rejecting artificial laboratory constraints. His comparative approach—studying gerbils, agouti, and humans—reveals universal neural mechanisms underlying sensory processing and social dynamics, emphasizing real-world ecological validity. Analysis of his publication trajectory shows a decisive shift from molecular biochemistry (2011-2013) toward cognitive and systems neuroscience (2018-2025). Recent work features breakthrough methodologies like the Sensory Island Task (SIT) for freely moving subjects, demonstrating how auditory-guided locomotion, social motor coordination, and group forecasting emerge from neural circuits. His 2025 study on visual nudging confirms that naturalistic paradigms yield superior insights into frequency discrimination during movement. While no major scientific awards are documented, Dr. Ferreiro actively supervises students and research projects across continents, reflecting his commitment to international mentorship. His grant-funded work likely involves German research foundations supporting cross-species neurobehavioral studies. Operating within LMU's neurobiology infrastructure, Dr. Ferreiro leads independent projects focused on neural coding during active navigation and social interaction. His team develops comparative platforms examining how freely moving subjects process sensory information in naturalistic environments, with current emphasis on auditory-visual integration and collective decision-making dynamics.

Andrey Sobolevمشاهده پروفایل

پژوهشگر

• Neuroscience
• Electrophysiology
• Data Management
• +۳ مورد دیگر

Dr. Andrey Sobolev is a PostDoc researcher at the Faculty of Biology, Ludwig Maximilian University of Munich, affiliated with the Benedikt Grothe Research Group. His work focuses on neurophysiological data management, electrophysiological data handling, and neural systems analysis. Key contributions include developing the Neo Python library for electrophysiology data handling and the G-Node Python Client for reproducible research workflows. Research interests span computational neuroscience, data management systems, and behavioral paradigms in freely moving animals. Notable publications include studies on hippocampal ensemble remapping under sensory conflicts (2021), the Sensory Island Task behavioral paradigm (2020), and metadata standards in neurophysiology (2016). Technical contributions include creating integrated platforms for electrophysiological data storage (2014) and foundational database systems for biomedical applications (2011). Collaborates widely with neuroscientists and software engineers to advance open science practices in neuroscience research.

Kevin Rick Doßمشاهده پروفایل

مدرس

• Analytical Social Psychology
• Social Philosophy
• Materialist Theory History
• +۳ مورد دیگر

Dr. Kevin Rick Doß is a Lecturer for Special Tasks at the Institute of Sociology (IfS) at the University of Münster. He holds a Dr. phil from Kiel University (2020) and previously taught at Bielefeld University and the University of Osnabrück. His research focuses on analytical social psychology, materialist theory history, and dialectical social theory. Current projects include a habilitation on 'Memory and Society – Materialist Contributions to a Theoretical History of Forgetting.' Education: PhD in Sociology (Kiel University, 2016-2020), MA in Political Science/Sociology (Osnabrück/Kiel, 2008-2013) Teaching: Leads seminars on social theory, ideology critique, and sociological methodology, including courses like 'Social Theory as Enlightenment' and 'Exclusion as Structural Contradiction.' Research: Emphasizes pragmatism, dialectics, and the sociological analysis of knowledge systems. Active in peer-reviewed book reviews across contemporary and historical sociological works.

Thomas Wickمشاهده پروفایل

استاد

• Numerical Analysis
• Computational Mechanics
• Partial Differential Equations
• +۳ مورد دیگر

Prof. Dr. Thomas Wick is a Professor at the Institute of Applied Mathematics within the Faculty of Mathematics and Physics at Leibniz University Hannover. He holds leadership roles, including Executive Director of the Institute and membership in the Executive Board and Faculty Council. His research focuses on numerical methods for coupled nonlinear partial differential equations, multiphysics systems (e.g., fluid-structure interaction, phase-field fracture), adaptive finite element techniques, and robust solvers. Key projects include the DFG-funded SPP 1962 and SPP 1748 initiatives, the PhoenixD Cluster of Excellence, and international collaborations like the Indo-German Higher Education Partnership. He has received grants from DFG, DAAD, and the Alexander von Humboldt Foundation. His work emphasizes algorithm design, error control, and computational efficiency in engineering and scientific applications. Research Interests: Numerical modeling of coupled PDE systems, multiphysics phenomena, phase-field fracture, adaptivity, and optimization. Projects include CoMeTeNd (IRTG 2657/1), PhoenixD Task Group S4, and Strukturerhaltende Adaptive Enriched Galerkin Methods. Scientific Awards: Feodor Lynen Fellowship, DFG Projects, DAAD grants. Collaborations span Germany, Austria, India, Peru, and France. Publications highlight advancements in phase-field fracture, fluid-structure interaction, and adaptive methods. His contributions address challenges in mesh adaptivity, error estimation, and high-performance computing.

• Distance-Dependency of Mental Representation
• Mechanisms of Stimulus Discrimination
• Multisensory Integration of Temporal Information
• +۴ مورد دیگر

Dr. Karin M. Bausenhart is a researcher in the Cognition and Perception research group within the Department of Psychology at the Faculty of Science, University of Tübingen. She has been working as a Postdoctoral Research Assistant since 2011 and currently serves as Project Coordinator for the DFG Research Unit "Modal and Amodal Cognition" (FOR 2718) since 2020. Dr. Bausenhart received her PhD in Psychology from the University of Tübingen in 2009, following her Masters degree (Diplom) in Psychology from the same institution in 1999. Her research focuses on several key areas in cognitive psychology and time perception. She investigates how distance affects mental representations, examining whether we think differently about events in the present versus those in the future or distant locations. She also studies mechanisms of stimulus discrimination, particularly how the order of stimuli presentation affects our ability to compare them, with a focus on the concept of a dynamically updated internal reference. Another major area of her work explores how temporal information from different sensory modalities is processed and combined to form a coherent perception of time, despite the absence of a dedicated sensory system for time processing. Additionally, she researches temporal preparation - how warning signals can improve reaction times - and dual-task processing limitations. Dr. Bausenhart's publication record reveals a consistent focus on time perception, multisensory integration, and cognitive mechanisms. Her work often employs experimental psychology methods to investigate fundamental questions about how humans process temporal information across different contexts and sensory modalities. A significant portion of her research examines order effects in stimulus discrimination, suggesting these effects may stem from an internal reference that dynamically updates during experimental tasks. Her recent work has expanded into examining how mental representation varies with psychological distance, connecting temporal cognition with broader cognitive frameworks. Third price at the dissertation contest of the German Psychological Society (DGPS), section Cognitive Psychology (2011) Dissertation Award of the Faculty of Science, University of Tübingen (2010) Dr. Bausenhart has secured multiple research grants from the German Research Foundation (DFG), demonstrating the significance of her work in the field. Her projects have investigated mechanisms of stimulus discrimination, temporal ventriloquism effects, and interferences in stimulus classification. These grants have supported her research from 2010 through 2020, indicating sustained recognition of her scientific contributions. As part of the Cognition and Perception research group, Dr. Bausenhart collaborates with colleagues studying modal and amodal cognition. Her current role as Project Coordinator for the DFG Research Unit "Modal and Amodal Cognition" places her at the center of a significant interdisciplinary effort examining how cognitive processes function both within specific sensory modalities and across modalities.

• Computational Neuroscience
• Bayesian Inference
• Perception
• +۱۲ مورد دیگر

Ulrik Beierholm is an Associate Professor in the Department of Psychology at Durham University, with affiliations in the Biophysical Sciences Institute and the Durham Research Methods Centre. He previously held positions at the University of Birmingham’s Centre for Computational Neuroscience and Cognitive Robotics. His research lies at the intersection of psychology, neuroscience, and machine learning. His research focuses on how the human brain processes uncertainty in perception, decision-making, and learning. He employs Bayesian inference and reinforcement learning models to understand human behavior, validated through psychophysics , fMRI , and pharmacological methods. Key areas include multisensory integration , causal inference , perceptual clustering , and behavioral vigor . His work often explores developmental and aging effects on perception. His recent publications reveal a strong trend in modeling multisensory perception under uncertainty, with increasing focus on open-source tools (e.g., BCI Toolbox) and educational outreach (e.g., Neuromatch Academy). Themes include reliability-weighted cue integration, dopamine’s role in motivation, and developmental changes in perceptual strategies. Facebook Faculty Award - Virtual Reality (2016) Leverhulme Trust Grant (£250k) for 'Learning to perceive and act under uncertainty' (2017) Tubingen-Durham Joint Seedcorn Fund for 'The effects of mood on effort allocation during uncertainty' (2019) Dr. Beierholm has supervised PhD students and research assistants such as Nathanael Larigaldie, Denise Foresteire, and Laura Bird. He has secured competitive grants from the Leverhulme Trust and joint university funds, supporting projects on uncertainty, effort allocation, and multisensory perception. His collaborative network spans institutions in the UK, Germany, and the US. He co-organizes research workshops including the Probabilistic Brain Workshop and Computational Models of Social Interaction , and is involved in the Biophysical Sciences Institute Executive Board . His lab conducts behavioral experiments on multisensory integration, equipped with a soundproof room, projector, and 17-speaker array.

Yannik Steinigerمشاهده پروفایل

پژوهشگر

• Deep Learning
• Computer Vision
• Sonar Technology
• +۷ مورد دیگر

Dr.-Ing. Yannik Steiniger is a researcher at the DLR Institute for the Protection of Maritime Infrastructures (DLR-MI), where he investigates deep learning applications for sonar image analysis. His work stems from collaborations with ATLAS Elektronik GmbH, Bremen University of Applied Sciences, and the University of Wuppertal. His research focuses on overcoming the scarcity of labeled sonar datasets by generating synthetic training data via transfer learning and GANs. He pioneered the use of transformers for seabed object detection in side-view sonar images, outperforming traditional signal processing approaches. Future projects aim to deploy these models on autonomous underwater vehicles for environmental cleanup tasks like hazardous material detection in the North and Baltic Seas. Steiniger emphasizes expanding DLR-MI's hydroacoustic data analysis team to advance maritime AI capabilities. His work bridges academic research with practical applications in naval engineering and environmental monitoring.

• Mobile Edge Computing
• Cloud Computing
• Internet of Things
• +۱۲ مورد دیگر

Junaid Shuja is a researcher with significant contributions to Mobile Edge Computing , Cloud Environments , and IoT Systems . Collaborating with scholars like Kashif Bilal , Abdullah Gani , and Ehzaz Mustafa , his work spans computation offloading, resource allocation, and security frameworks. Research Highlights 2017: Analysis of Vector Code Offloading in Heterogeneous Architectures 2021: Survey on Machine Learning for Edge Caching 2023: Reinforcement Learning for Computation Offloading in Vehicular Networks 2024: Blockchain Applications in Land Lease Systems and Employee Transfers 2025: Deep Reinforcement Learning for Resource Optimization His recent work focuses on Deep Learning and Blockchain for latency-sensitive applications in IoT and vehicular networks, published in IEEE Access , Cluster Computing , and Telecommunication Systems . Key co-authors include Faisal Rehman , Abdallah Namoun , and Muhammad Bilal .

• Neurophysiology
• Visual Perception
• Eye Movement Research
• +۵ مورد دیگر

Jeremy Badler is a Researcher in the field of Neurophysiology and Visual Perception , currently serving as Lab Manager for Zhaoping Li's department. His work spans oculomotor control, visual psychophysics, and human-computer interaction, with affiliations at institutions like the University of Pennsylvania, University of Louvain, and Smith-Kettlewell Institute. His research focuses on eye movement dynamics , including anticipatory pursuit , saccade timing , and binocular control mechanisms . Publications highlight collaborations in neuroscience , fMRI studies , and digital game research , with key contributions to understanding causal perception and motor planning in eye movements. Jeremy's recent articles (2019–2002) explore intersections of neural modeling , virtual environments , and trust perception through gaze animation. His work bridges computational neuroscience and interactive systems , though no scientific awards or student advisement records are documented here. He remains active in supporting psychophysics experiments and lab operations at Smith-Kettlewell Institute.

• Wireless Networks
• 5G/6G Networks
• Performance Modeling and Optimization
• +۵ مورد دیگر

Fidan Mehmeti is a Senior Researcher and Lecturer at the Chair of Communication Networks at the Technical University of Munich (TUM), led by Prof. Wolfgang Kellerer. His expertise spans wireless networks, 5G/6G systems, edge computing, and network security. He holds a PhD from EURECOM/Telecom ParisTech and has held postdoctoral positions at institutions like the University of Waterloo and Penn State University. Education PhD, Institute EURECOM/Telecom ParisTech, 2015 MSc, University of Prishtina (Kosovo), 2009 BSc, University of Prishtina, 2006 Research Interests Fidan's work focuses on resource allocation, mobility management, edge computing, and AI-driven network optimization. He explores challenges like latency guarantees in 6G multi-domain networks and energy-efficient edge orchestration. His research bridges theoretical analysis (e.g., queueing theory) with practical applications in healthcare and autonomous systems. Recent Contributions Recent articles address mMTC traffic management, latency-critical 6G systems, and medical edge computing. He co-authored chapters on 6G architecture and healthcare applications in the upcoming '6G-life' book. Awards & Recognition Best Student Paper Award at IEEE/IFIP NOMS 2025 IEEE Senior Member (2023) Recipient of Best Paper Awards at CNSM 2024 and CCNC 2023 Grants & Projects He leads projects like '6G-ANNA' (BMBF-funded) and '6G-Life', addressing security, sustainability, and healthcare integration. Collaborations with industry partners like Nokia highlight applied research. Teaching Teaches courses on network modeling, optimization, and data networking at TUM. Recent offerings include 'Analysis, Modeling, and Simulation of Communication Networks' and 'Communication Networks Modeling and Optimization'.

• Networked Control Systems
• Software-Defined Networking
• Cybersecurity
• +۳ مورد دیگر

Hasan Yagiz Özkan is a Scientific Staff member at the Chair of Communication Networks at Technische Universität München. His research focuses on networked control systems, software-defined networking, cybersecurity, and real-time communication protocols. He contributes to projects such as the ERC Network Flexibility initiative and the 6G Future Lab Bavaria. Recent work includes advancements in task-oriented scheduling for networked control systems and intrusion detection using machine learning. His publications span topics like bug resolution prediction in softwarized networks and age-of-information-aware frameworks. He has collaborated on papers addressing network reliability, software-defined radio implementations, and contrastive pretraining for cybersecurity. His inactive status may pertain to a specific role, but he remains active in academic research and publications.

Markus Glaserمشاهده پروفایل

استاد

• Corporate Finance
• Behavioral Finance
• Managerial Power
• +۳ مورد دیگر

Prof. Dr. Markus Glaser is a Professor and Head of the Institute for Capital Markets and Finance at LMU Munich School of Management. Effective October 2025, he will also serve as Dean of the Faculty of Business Administration, succeeding Prof. Dr. Christian Hofmann. His research focuses on Corporate Finance and Behavioral Finance, particularly exploring managerial voting power, investor decision-making biases, and the impact of governance structures on firm value. Glaser has authored influential studies on overconfidence in financial markets, diversification discounts, and the behavioral drivers of trading volume. His work has earned prestigious awards, including the Ross Best Paper Award (2007) and the SCOR/IDEI/Dauphine Annual Award (2007). He holds leadership roles in academic governance and contributes to policy discussions on financial regulation and investor education. Glaser’s research combines theoretical frameworks with empirical evidence, often analyzing real-world investor behavior and institutional dynamics. His recent studies, such as Managerial Voting Power and Firm Value (2023), highlight how managerial control mechanisms influence corporate valuation. He collaborates with global institutions and regularly publishes in top-tier journals like the Journal of Finance and Review of Finance . His upcoming term as Dean signals his commitment to advancing LMU’s reputation in business education and research.

Daron Acemogluمشاهده پروفایل

استاد

• political economy
• economic development
• economic growth
• +۴ مورد دیگر

Daron Acemoglu is an Institute Professor at the Massachusetts Institute of Technology (MIT), holding one of the institution's highest faculty distinctions. He is an elected fellow of the National Academy of Sciences, American Philosophical Society, British Academy of Sciences, Turkish Academy of Sciences, American Academy of Arts and Sciences, Econometric Society, European Economic Association, and Society of Labor Economists. He serves as co-director of the MIT Shaping the Future of Work Initiative and is a member of the Group of Thirty. His research spans political economy, economic development, technological change, inequality, and labor economics, with foundational work on institutional determinants of prosperity as seen in bestsellers Why Nations Fail and Power and Progress . Recent scholarship critically examines how artificial intelligence, automation, and climate policies reshape labor markets, democratic institutions, and global economic trajectories through rigorous theoretical and empirical frameworks. Analysis of his 2023-2024 publications reveals three dominant research vectors: (1) Technology-labor dynamics focusing on pro-worker AI design and robot impacts on employment inequality; (2) Institutional analysis of democracy under authoritarianism and culture-driven social equilibria; and (3) Environmental economics exploring energy transitions through directed innovation. These works consistently integrate micro-level evidence with macroeconomic implications across 15+ countries. Major honors include the John Bates Clark Medal (2005), Erwin Plein Nemmers Prize (2012), BBVA Frontiers of Knowledge Award (2016), and A.SK Social Science Award (2023). His academy fellowships span six national and international scholarly bodies. As co-director of MIT's Shaping the Future of Work Initiative, Acemoglu leads interdisciplinary research on technology's societal impacts, directing collaborations between economists, engineers, and policy experts to develop frameworks for human-centered technological advancement.