جستجوی استاد راهنمای دانشگاهی

Christian Aßmannمشاهده پروفایل

استاد

• Bayesian estimation methods
• Statistical modeling with missing data
• Longitudinal data analysis
• +۳ مورد دیگر

Prof. Dr. Christian Aßmann holds the Chair of Survey Statistics and Data Analysis at the Otto-Friedrich University of Bamberg (since 2020) and serves as Head of Department 3 Research Data Center and Method Development at the Leibniz Institute for Educational Trajectories . His work bridges statistical methodology with educational and public health research. Education: PhD in Economics (2009, Kiel University) Key Affiliations: Otto-Friedrich University of Bamberg, Leibniz Institute for Educational Trajectories, DFG Priority Programme SP2431/SP1646 Research focuses on Bayesian estimation techniques for handling missing data in longitudinal studies, particularly in educational assessment and human growth analysis. His methodological innovations include factor analysis , multiple imputation , and network-based modeling . He contributes to survey methodology for large-scale educational panels and public health statistics through anthropometric studies. Scientific contributions span Bayesian econometrics , educational transition analysis , and community-based health research . His 2024-2025 work addresses automated statistical data editing and corona effects on educational outcomes . Collaborative projects with institutions like DFG and Springer highlight his interdisciplinary impact. Awards: Involved in Springer BestMasters 2014 thesis evaluation Committee Roles: Expert committee for Good KiTa Act monitoring (2019-2024) Students explore topics like Bayesian deep learning , economic forecasting , and missing data techniques . His methodological workshops cover data editing , factor rotation , and panel nonresponse , reflecting his commitment to training future researchers.

• Control Systems
• Switched Systems
• Networked Control Systems
• +۶ مورد دیگر

Marc Seidel, M.Sc., is a Research Assistant at the Institute for Systems Theory and Automatic Control , University of Stuttgart. His work bridges theoretical and applied control systems research, focusing on autonomous mobility and networked control. Research Interests include: Controller design for real-time systems under weakly-hard constraints Switched systems with graph-constrained switching Networked Control Systems Event-triggered consensus schemes Orientation estimation using inertial sensors Publications reflect expertise in autonomous e-scooter control, multi-agent coordination, and sensor-based safety filters. Key themes: control theory, robotics, and sustainable transportation. Teaching Roles at the University of Stuttgart include: SS 2024: Formal Methods in Control SS 2022-SS 2023: Concepts of Automatic Control SS 2022: Nonlinear Dynamics WS 2021/22-WS 2025/26: Lab and project courses Academic Background : M.Sc. in Engineering Cybernetics (University of Stuttgart, 2021), thesis on periodic event-triggered consensus with cooperation from Prof. Dimos V. Dimarogonas (KTH Stockholm) B.Sc. in Engineering Cybernetics (University of Stuttgart, 2015-2019), thesis on trajectory tracking control Professional Engagements : 01/2025-03/2025: Research stay at Department of Automatic Control, Lund University 03/2021-08/2021: Internship at Robert Bosch GmbH (Renningen, Germany) 08/2020-11/2020: Study abroad at KTH Stockholm for master's thesis Projects : Lead responsibility in the Autonomous E-Scooter initiative, integrating control theory into sustainable urban mobility solutions.

Frank Bremmerمشاهده پروفایل

استاد

• Visual Perception
• Self-Motion Encoding
• Multisensory Integration
• +۵ مورد دیگر

Frank Bremmer is a Professor at the Neurophysics Group , Philipps University of Marburg . His research focuses on visual perception during eye movements and the multisensory encoding of self-movement information in primates , aiming to understand neural representations of space and movement in the human brain. The group combines neurophysiological recordings from animal models with behavioral and neuroimaging studies in humans, including collaborations with clinics at the University Hospital of Munich (UKGM) to investigate spatial and motion processing disorders in neurological and psychiatric patients.

• Social Psychology
• Clinical Psychology
• Child and Adolescent Psychology
• +۳ مورد دیگر

Dr. Muyu Lin is a Visiting Professor of Child and Adolescent Psychology and Psychotherapy at Humboldt University of Berlin since August 2024. She previously worked as a Postdoctoral Researcher at the Social Cognition Group (Berlin School of Mind and Brain, 2020-2023) and Ruhr University Bochum (2015-2019), with earlier visiting scholarship at Boston University (2013-2014). Education PhD in Psychology (2010-2015), Peking University Bachelor of Philosophy & Science (2006-2010), Peking University Her research focuses on psychological processes of social interaction , including approach-avoidance behavior toward social stimuli, attentional biases in socially anxious individuals, school bullying and associated coping factors, and emotional episodic memories (especially traumatic intrusive memories). Recent publication trends indicate cross-cultural comparisons (Germany-China-Pakistan), studies on social anxiety mechanisms, autism research using neuroimaging, validation of psychological assessment tools, and investigations into bullying consequences. Collaborations include prominent researchers like Prof. Isabel Dziobek (Dziobek Lab) and Prof. Jürgen Margraf. As a Humboldt University scientific collaborator, she works at Rudower Chaussee 18 (Room 0'232) with affiliations to the Institute of Psychology's Clinical Psychology of Social Interaction unit.

• Human-Computer Interaction (HCI)
• Ubiquitous Computing
• Context-Aware Systems
• +۴ مورد دیگر

Professor Keith Cheverst is a leading researcher at Lancaster University's School of Computing and Communications, focusing on Human-Computer Interaction , Ubiquitous Computing , and Context-Aware Systems . His work emphasizes locative media , community-centered digital displays , and rural technology deployment , with a career spanning over 25 years.

• Internet Measurements
• Internet Architecture
• Low-end Internet
• +۱۵ مورد دیگر

Justus Fries is a researcher at the Chair of Connected Mobility (I11) , Department of Informatics, Technical University of Munich. He focuses on Internet measurements, architecture, and decentralization , with specific interests in transport protocols (QUIC, TCP+TLS, WebRTC), congestion control, and low-end network performance. University: Technical University of Munich School: Department of Informatics Department: Chair of Connected Mobility (I11) Email: fries@in.tum.de His research examines cross-layer interactions in encrypted protocols ( QUIC, DNS, HTTP/3 ), network security, and web performance. Recent work explores Web of Things (WoT) systems and edge-to-cloud continuum architectures. Key contributions include datasets and analysis tools for broadband infrastructure evaluation (FCC Measuring Broadband America), with publications in top networking conferences like IFIP Networking.

• Performability Evaluation
• Stochastic Modeling
• Learning Analytics
• +۴ مورد دیگر

Gabriel Alves is a Brazilian computer science researcher affiliated with the University of Pernambuco and collaborating with institutions like Federal Higher Education Institutions and Pontifical Catholic University of Minas Gerais. His work focuses on performability evaluation, stochastic modeling, and learning analytics, particularly applied to education technology and transport logistics systems. Research Interests : Performability analysis, stochastic modeling, learning analytics, cyber-physical systems, cloud computing, and green supply chain optimization Key Contributions : Development of Tutoria platform for educational feedback, performability models for BRT systems, and frameworks for AI-driven instructor support tools His publications span journals like IEEE Transactions on Learning Technology and conferences including SMC and EC-TEL, with recent work exploring natural language processing for educational assessment. Current collaborations include researchers from Chile (Dragan Gasevic), Brazil (Rafael Ferreira Mello, Paulo Maciel), and Portugal (Taciana Falcão).

Daniel Franzenمشاهده پروفایل

پژوهشگر

• Privacy Preservation
• Human-Centered Computing
• Data Science
• +۴ مورد دیگر

Daniel Franzen is an affiliated researcher at the Human-Centered Computing group within the Department of Mathematics and Computer Science . His work bridges technology functionality with privacy concerns, focusing on parameters that influence whether users perceive digital systems as intrusive or beneficial. University of Edinburgh PhD in Computer Science (2016) Master of Science in Computer Science (2012) and Media Informatics (2012) from RWTH-Aachen Bachelor of Science in Computer Science (2010) and Mathematics (2011) from RWTH-Aachen His research explores privacy-preserving data donation , human-AI collaboration, and the design of systems that balance utility with ethical considerations. Key projects include delirium prevention in clinical settings, reflective practice in data science, and adversarial interface design patterns. Recent publications highlight trends in privacy visualization , LLM-based conversational interfaces , and hybrid intelligence systems . He investigates how thresholds in machine learning, user onboarding libraries, and visual storytelling impact decision-making and data interpretation. Daniel contributes to educational initiatives through courses like Human-Centered Data Science and Interactive Intelligent Systems , emphasizing critical thinking and visualization literacy. The HCC lab focuses on designing technologies that prioritize user sovereignty and ethical frameworks, such as the Meta-Consent System for health data sharing.

Alina Hawkinمشاهده پروفایل

پژوهشگر

• Robotics
• Artificial Intelligence
• Virtual Reality
• +۳ مورد دیگر

Alina Hawkin is a researcher at the Department of Computer Science, University of Bremen. Her work focuses on teaching robots new manipulation tasks through human demonstrations in Virtual Reality (VR) and leveraging their prior experiences for autonomous execution. Key Projects: EASE, Knowledge 4 Retail, BMWi SMILE, go4IT Robotic Platforms: PR2 (Willow Garage), HSR (Toyota), Pepper (Softbank), TIAGo (PAL Robotics) Research Interests: Combines robotics, AI, and VR to develop knowledge-based systems for tasks like retail assistance and meal preparation. Emphasizes semantic digital twins, dynamic query generation, and transient state modeling. Publications: Recent works include cloud-integrated robotic solutions for retail (2024), motion parameterization from human VR demonstrations (2020), and semantic digital twin-based shopping assistants (2023).

Claudia Müller-Birnمشاهده پروفایل

دانشیار

• Human-Centered Computing
• Human-AI Interaction
• Health Data Science
• +۸ مورد دیگر

Claudia Müller-Birn is an Associate Professor for Human-Centered Computing (HCC) at the Institute of Computer Science, Freie Universität Berlin, and a principal investigator at the Cluster of Excellence Matters of Activity at Humboldt-Universität zu Berlin. Her research focuses on human-AI collaboration in healthcare, privacy-preserving technologies, and value-sensitive design principles. Current roles: Professor (tenured since 2019), Examination Committee Head for Master of Computer Science Key affiliations: Freie Universität Berlin, Humboldt-Universität zu Berlin, Charité University Medicine Her research explores: Technical approaches for improving human-AI decision-making Implementation of friction in interface design Assessment of decision aids through mixed-methods Participatory design for healthcare and mobility data donation Reflective practice in data science education Recent publications analyze uncertainty representations in AI collaboration, differential privacy communication, and value-centered consent interfaces. She advocates for open-source software and open science principles in her work. Scientific awards include: Max Rubner Prize 2024 (Charité Foundation) 100 minds of science in the capital city 2024 (Der Tagesspiegel) Honorable Mention at ACM CSCW 2019 Ted Nelson Newcomer Award 2014 Teaching activities at Freie Universität Berlin cover human-computer interaction, data science, and interactive systems. She leads the Human-Centered Computing working group and contributes to interdisciplinary education through courses like "Coding IxD".

• Industrial Cyber-Physical Systems
• Digital Twins
• Human-Machine Interaction
• +۶ مورد دیگر

Dominik Hujo is a researcher at the Chair of Automation and Information Systems at the Technical University of Munich (TUM). He holds a Master of Science degree and contributes to advanced research in industrial automation and AI integration. His research focuses on industrial cyber-physical systems , digital twins , human-machine interaction , and AI deployment in manufacturing environments . His work emphasizes real-time requirements, embedded systems, and data management for production processes. Dominik's publications from 2023-2025 demonstrate expertise in multi-agent coordination , predictive maintenance , edge-cloud architectures , and SysML modeling for mechatronic constraints . Key application areas include construction machinery, gear assembly, and logistics systems. He actively collaborates with researchers like Prof. Birgit Vogel-Heuser and Marius Krüger on projects such as KI.Fabrik (AI Factory) and OpAI4DNCS (Operator-AI Interaction for Distributed Control Systems).

Anh Vu Doanمشاهده پروفایل

مدرس

• Embedded Systems Design
• Combinatorial Optimization
• Problem Modeling
• +۳ مورد دیگر

Dr. Ir. Anh Vu Doan is a Lecturer at the Technical University of Munich (TUM) under the Chair of Integrated Systems and a Senior Project Leader at Infineon in Neubiberg, Germany. With a Belgian-Vietnamese background and prior residence in Japan, he has held academic roles including postdoctoral fellowships at Keio University and TUM, as well as teaching assistant and stand-in lecturer positions at Université libre de Bruxelles (ULB) and IÉSEG School of Management. Research Interests: Embedded systems design Combinatorial optimization Problem modeling and decision aiding Approximate computing and 3D-stacking memory Machine learning reliability and safety Network-on-Chip (NoC) optimization Recent Publications focus on neuromorphic systems, power optimization for multicore processors, adversarial attacks in ML, and multi-objective design strategies using genetic algorithms. His work bridges hardware-software co-design and sustainable mobility decision frameworks. Scientific Awards: Erasmus-Mundus Grant (EASED program) JST/CREST Research Program Education: MSc in Electrical Engineering (ULB, 2009) PhD in Engineering Sciences (ULB, 2015)

• Automated Driving
• Artificial Intelligence
• Transportation Safety
• +۳ مورد دیگر

Yongqi Dong is a Junior Research Group Leader at the Institute of Highway Engineering, RWTH Aachen University, and a Ph.D. Researcher at TU Delft since 2019. His research focuses on AI-driven automated mobility, traffic safety, and intelligent transportation systems. Ph.D. in Transport and Planning, TU Delft M.Sc. in Control Science and Engineering, Tsinghua University B.Eng. in Telecommunication Engineering, Beijing Jiaotong University His work emphasizes: Automated vehicle safety and socially-compliant driving Machine learning for anomaly detection in traffic Transformer models in lane detection and parking prediction Cross-cultural driving behavior analysis Human-machine interfaces for driverless systems Recent publications highlight trends in deep learning for lane detection (2023-2025), anomaly detection in mixed traffic (2025), and cyclist perception studies (2025). Key journals include Transportation Research Record and IEEE Transactions on Intelligent Transportation Systems. Scientific contributions include: Tsinghua Outstanding Master Thesis nomination Leadership in Traffic and Transportation Safety Lab (TU Delft) Presentations at TRB, ITSC, and ICTCT conferences

• Sign Language Technology
• Human-Computer Interaction
• Bilingual Education
• +۳ مورد دیگر

Marcelo Lúcio Correia de Amorim is a Brazilian academic currently serving as a university lecturer in the Faculty of Sign Language and Deaf Studies at Universidade Federal do Ceará (UFC) in Fortaleza. He is simultaneously pursuing a doctoral degree at the Center for Computer Science, Universidade Federal de Pernambuco (UFPE), Recife, and conducting research abroad as a guest at Georg August University of Göttingen through collaboration with the SignLab. Affiliation: Universidade Federal do Ceará (UFC) Doctoral Institution: Universidade Federal de Pernambuco (UFPE) International Collaboration: SignLab, University of Göttingen His research focuses on sign language avatars and bilingual visual computer screen displays, particularly for websites converted from spoken/written language to Brazilian Sign Language (LIBRAS). Notable contributions include co-founding the mobile app ProDeaf - a dictionary and automatic translation tool for Portuguese and LIBRAS. His German stay emphasizes doctoral thesis development and international academic exchange in accessibility technologies.

Rehana Omardeenمشاهده پروفایل

پژوهشگر

• Sign languages
• Gestures
• Language origins
• +۵ مورد دیگر

Rehana Omardeen is a doctoral researcher at the Department of German Philology, University of Göttingen, and a member of the Research Training Group (RTG) 2070 'Understanding Social Relationships'. Her work focuses on gestures in spoken and signed languages, sign language typology, iconicity, and the interface between sign and gesture. Bachelor’s degree in Linguistics from Swarthmore College Master’s degree in Linguistics from Radboud University, Nijmegen Her research involves comparative studies of iconicity in sign languages, co-creation methodologies in sign language technology, and documentation of Providence Island Sign Language. She has conducted fieldwork funded by the Endangered Languages Documentation Programme (ELDP) on Providence Island and in Guyana. Her work intersects linguistics, computer science, and accessibility, with a focus on inclusive technology development. Rehana collaborates with the Sign Language team and uses methodologies in human-computer interaction, avatar design, and sociolinguistic analysis. She has contributed to European sign language policy frameworks and explores the typological variation of sign languages globally.