جست‌وجوی استاد و پژوهشگر

• Brain-Computer Interfaces
• Neural Engineering
• Electroencephalography (EEG)
• +۷ مورد دیگر

Prof. Dr. Gernot R. Müller-Putz is a leading academic in neural engineering and brain-computer interfaces at the Institute of Neural Engineering , Graz University of Technology , within the Faculty of Computer Science and Biomedical Engineering . He leads both the institute and its associated Laboratory of Brain-Computer Interfaces , driving cutting-edge research in non-invasive neurotechnology and assistive systems. Research Interests: His work spans Brain-Computer Interfaces , EEG signal processing , neurorehabilitation , neuroprosthetics , and cognitive neuroscience . He focuses on decoding motor intentions, sensory feedback restoration, and developing interpretable AI models for neural data. His research bridges engineering, neuroscience, and clinical applications to enhance human-machine interaction and improve quality of life for individuals with disabilities. Recent Research Trends: Analysis of his latest publications (2024–2025) reveals a strong emphasis on EEG-based decoding of gait and reaching movements , cross-subject generalization using deep learning, sensory and proprioceptive restoration in amputees, and cognitive processing in augmented reality . These reflect a cohesive trajectory toward real-world, clinically viable BCI systems with robust and interpretable performance. Scientific Leadership and Editorial Roles: Specialty Chief Editor, Brain-Computer Interfaces , Frontiers in Human Neuroscience Associate Editor, Neuroprosthetics , Frontiers in Neuroscience Review Editor, Health Informatics , Frontiers in Digital Health Topic Editor, Neurophysiological foundations of videoconference fatigue He plays a significant role in shaping discourse in BCI and neural engineering through editorial leadership. Advising and Research Leadership: As head of the Institute of Neural Engineering and the BCI Laboratory, he mentors students and researchers, oversees multiple funded projects, and collaborates internationally. While specific students are not listed, his high publication output and editorial roles suggest active supervision and team leadership. His research is supported by ongoing grants in neural engineering and assistive technologies, though specific funding sources are not detailed here. Laboratories and Teams: Institute of Neural Engineering , Graz University of Technology Laboratory of Brain-Computer Interfaces (affiliated with the institute) These units form a hub for interdisciplinary research in neural signal processing, BCI development, and clinical translation.

Xi Wangمشاهده پروفایل

پژوهشگر

• Computer Vision
• Computer Graphics
• Vision Science
• +۷ مورد دیگر

Dr. Xi Wang is a postdoctoral researcher at the Technical University of Munich (TUM) within the Computer Vision Group (Informatics 9) under Prof. Daniel Cremers, and a researcher at the Computer Vision and Geometry Lab at ETH Zurich led by Prof. Marc Pollefeys. He collaborates with Prof. Luc Van Gool at INSAIT and has affiliations with MIT and Adobe Research. His research spans computer vision, computer graphics, vision science, and vision-language multimodal learning , focusing on modeling human common sense, intent-driven behavior, and egocentric scene understanding. Research Highlights: Developed multimodal world models (GEM) for fine-grained ego-motion and object dynamics Created vision-language interior design systems (I-Design) and driver trajectory prediction models Advanced 3D human-object interaction reconstruction (ROMEO) and eye-tracking-based action anticipation Explored Gaussian splatting for dynamic scene understanding (EgoGaussian) Scientific Recognition: Recipient of the ECCV 2024 Workshop Best Paper Award for ROMEO $1.6 million grant from BMBF for establishing his independent TUM research group Accepted papers at top venues: CVPR, ECCV, ICLR, ETRA, ISMAR

• Social Psychology
• Political Psychology
• Health Psychology
• +۵ مورد دیگر

PD Dr. Daniela Renger is a Researcher at the Department of Psychology, University of Kiel, affiliated with the Philosophical Faculty. She holds a habilitation in Social Psychology (2019) and a PhD from Kiel University (2009). Her research focuses on social recognition, self-respect, and the consequences of social inequality, with emphasis on assertiveness, collective action, and mental health. She leads projects like 'Toleranz im Ranzen' (2024) and 'Women in Philosophy' (BMBF-funded). Recent work explores gender stereotypes in academia, socioeconomic status impacts on self-respect, and the role of respect in workplace burnout. Active in academic service, she organizes the Woman Scientists Network at Kiel University and reviews for top journals like Political Psychology and Personality and Social Psychology Bulletin . Education : Habilitation in Social Psychology, Kiel University (2019) PhD in Psychology, Kiel University (2009) Research Interests : Self-respect as internalized equality Social recognition dynamics Gender effects in education and organizations Health psychology and work environments Collective action and protest Notable Projects : Toleranz im Ranzen : School-based intervention promoting tolerance and self-respect (funded by City of Kiel) BMBF-funded Bildersturm project to highlight women in philosophy Public Engagement : Interviews in GEO WISSEN , Süddeutsche Zeitung , and Deutschlandfunk Media contributions on tolerance, prejudice, and self-respect

• Digital Learning Environments
• Metacognitive Processes
• Multimedia Learning
• +۴ مورد دیگر

Dr. Emely Hoch is a researcher at the Institute for Technology and Learning (IWM) at the Eberhard Karls University of Tübingen, affiliated with the Multiple Representations Lab. Since 2014, she has focused on learning processes in digital environments and metacognitive strategies in problem-solving. She coordinates the Tübingen Digital Teaching Lab (TüDiLab) since 2020 and previously led the tabletBW meets Science project (2018-2022). Her research interests include educational technology, self-regulation in multimedia learning, and AI applications in adaptive learning systems. Education: M.Sc. Psychology from the University of Tübingen (2014), Ph.D. completed in 2018 investigating if-then plans for self-regulation in multimedia learning. Associated memberships include LEAD Graduate School and the Tübingen Center for Digital Education. Research highlights include studies on technology adoption in schools, metacognitive monitoring prompts, and implementation intentions in educational interventions. She has coordinated projects funded by Baden-Württemberg's Ministry of Education and collaborates with institutions like the Hector Institute. Professional activities include scientific coordination of digital education initiatives and participation in conferences. Her work emphasizes bridging psychological theory with practical educational technology solutions.

Volha Petukhovaمشاهده پروفایل

پژوهشگر

• Computational Semantics
• Dialogue Theory
• Computational Pragmatics
• +۳ مورد دیگر

Volha Petukhova is a Researcher at Saarland University, specializing in computational semantics, dialogue theory, and cognitive modeling. She contributes to ISO standards for semantic annotation frameworks (ISO 24617-2 and -5). Her work focuses on dialogue acts, multimodal communication, and argumentation systems. She has led projects like DialogBank and participated in initiatives such as METALOGUE and DBOX. She teaches courses including Multimodal Dialogue Systems and Computational Pragmatics. Her research interests include dialogue management, belief-intention representation, and context-based reasoning. She has published extensively on topics like metacognitive event classification, argument quality assessment, and negotiation strategies. Her recent projects involve personalized health intervention messages and customer-oriented dialogue analysis. She has advised numerous students on topics like negotiation outcome prediction, argument generation, and multimodal depression detection. She collaborates on creating annotated dialogue corpora, such as the DBOX and Metalogue Debate Trainee Corpus. Her work bridges theoretical dialogue semantics with practical applications in healthcare and education.

• Machine Learning
• Edge Computing
• Networking Technologies
• +۵ مورد دیگر

Mounir Bensalem is a Ph.D. candidate and research assistant at the Institute of Computer and Network Engineering within the Faculty of Electrical Engineering, Information Technology, and Physics at Technical University of Braunschweig, Germany. His research focuses on integrating machine learning and edge computing into next-generation network architectures, particularly in optimizing LoRa, analyzing reconfigurable intelligent surfaces (RIS), and applying reinforcement learning to edge serverless functions. He holds an Engineering Diploma and M.Sc. in Information Systems from the National Engineering School of Tunis. Education: Master’s Degree in Information System Techniques (2017), National Engineering School of Tunis. Engineering Diploma in Industrial Engineering (2017), National Engineering School of Tunis. Key Research Areas: Machine Learning, Edge Computing, 5G/6G Networks, Network Security, and Reconfigurable Intelligent Surfaces. Projects: EU Horizon MANOLO (2024–2026), H2020 FISHY (2020–2023), DFG FOR 2863 (2019–2022), and H2020 mF2C (2017–2020). Awards: Best Paper Award (2022) for work on IoT buffer size benchmarking. Lab/Team: Part of Prof. Jukan’s group at TU Braunschweig, focusing on communication networks and edge computing.

• Information Retrieval
• Large Language Models
• Parameter Efficient Fine-Tuning
• +۵ مورد دیگر

Marco Braga is a researcher focused on information retrieval, large language models, and parameter-efficient fine-tuning techniques. His work spans personalized community question answering systems, synthetic data generation, and adapter-based model optimization. Recent research interests include: Zero-shot learning and task arithmetic for LLMs Context-aware personalization in retrieval systems Hybrid neural-symbolic approaches for structured reasoning Telecommunications domain modeling Key article trends show expertise in: Adapter modules and low-rank parameter optimization Community question answering personalization Synthetic dataset creation for training LLMs Model efficiency in resource-constrained settings Collaborations include Gabriella Pasi, Pranav Kasela, and Alessandro Raganato. His work appears in SIGIR, COLING, WI-IAT, and IIR conferences, with notable Zenodo dataset contributions.

Élisabeth Décultotمشاهده پروفایل

استاد

• 18th-century literature
• 19th-century literature
• History of scholarly practices
• +۷ مورد دیگر

Élisabeth Décultot is Professor of Modern German Literature at Martin Luther University Halle-Wittenberg, holding the Chair of Modern Written Culture and European Knowledge Transfer since 2015. She has served as Director of the university's Interdisciplinary Center for the Study of the European Enlightenment (IZEA) since 2020. In 2015, she was awarded the prestigious Alexander von Humboldt Professorship, Germany's highest research award for international scholars. Her research spans 18th- and 19th-century literature, the history of scholarly practices in the early modern period, and European knowledge transfer. She has established herself as a leading authority on Johann Joachim Winckelmann, contributing significantly to our understanding of the emergence of art historiography. Her work on art discourse during the Enlightenment and Classicism periods has reshaped scholarly approaches to this field. She is particularly renowned for her editorial work on Johann Georg Sulzer's Collected Works, bringing renewed attention to this important but previously underappreciated Enlightenment thinker. Décultot's scholarly output reveals consistent thematic threads across her publications, with increasing attention to visual culture's role in Enlightenment knowledge production, the transnational circulation of ideas, and the material practices of knowledge formation. Her recent work has expanded into critical examinations of Enlightenment's relationship with racism and the post-Enlightenment conceptual evolution of terms like 'Enlightenment' itself. Alexander von Humboldt Professorship (2015) Décultot leads several major collaborative research projects including the DFG joint project 'Portal The German Letter in the 18th Century,' the BMBF project 'Excerpts' on Winckelmann's digital edition, and the long-term Academy project 'Antiquitatum Thesaurus' on European pictorial sources. As Director of IZEA, she oversees the newly approved Research Training Group 'Politics of the Enlightenment' launched in April 2025. Her leadership has positioned Halle as a major international center for Enlightenment studies, with particular strength in digital humanities approaches to historical texts and images. The Winckelmann Excerpts Digital edition, co-edited with Dr. Martin Dönike and available since September 2024, represents a methodological breakthrough in editionsphilology, providing interactive access to Winckelmann's previously unedited excerpts with hundreds of connections between printed sources, handwritten excerpts, and his published works.

Nathalie Bickمشاهده پروفایل

پژوهشگر

• Stereotype Threat
• Social Identity Threat
• Digital Higher Education
• +۳ مورد دیگر

Dr. Nathalie Bick is a Researcher at the FernUniversität Hagen , working within the Stereotype Threat research group in the CATALPA cluster. Her work focuses on stereotypes affecting student groups in digital higher education contexts and interventions to mitigate their negative impacts. PhD in Psychology (2025), University of Cologne Master of Science in Psychology (2021), University of Cologne Bachelor of Science in Psychology (2017), University of Cologne Her research explores social identity threat , belongingness , and performance disparities in distance learning environments, particularly for migrant youth. Recent publications examine stereotype facets, virtual collaboration barriers, and trustworthiness signaling during the pandemic. Key trends in her work include: Quantitative analysis of stereotype content in digital education Impact of negative stereotypes on social integration Interventions for equitable learning conditions

Tim Schreiterمشاهده پروفایل

پژوهشگر

• Human-Robot Interaction
• Human Motion Prediction
• Mobile Eye-Tracking
• +۱ مورد دیگر

Tim Schreiter is a doctoral researcher at the Chair of Perception for Intelligent Systems within the Munich Institute of Robotics and Machine Intelligence at Technical University of Munich , joining in 2024. His work focuses on bridging human behavior with robotic systems through advanced sensor networks and machine learning. Education M.Sc. in Automation Engineering, TU Chemnitz (2021) Prior doctoral studies at AASS, Örebro University, Sweden Research Themes explore human-robot interaction , motion prediction , and intent communication . Recent publications highlight applications of large language models , ultra-wideband localization , and multimodal interfaces in industrial robotics and shared environments.

• Multimedia Learning
• Cognitive Science
• Educational Psychology
• +۳ مورد دیگر

PD Dr. Anne Schüler is a Researcher and Deputy Head of the Multiple Representations Lab at the Leibniz Institute for Knowledge Media (IWM) in Tübingen, Germany. She holds a PhD (summa cum laude) and habilitation in Psychology from Eberhard Karls University of Tübingen, with a focus on cognitive foundations of multimedia learning. Her work explores how multimedia principles enhance learning, particularly addressing validation processes, cross-modal integration, and the correction of misconceptions through instructional strategies like refutation videos. She has been an Equal Opportunities Officer at IWM since 2018. Her research spans cognitive psychology, educational technology, and instructional design, with a strong emphasis on empirical studies using eye-tracking and EEG. Key projects include investigating reactivation mechanisms during multimedia processing, the impact of digital distractions, and the design of adaptive multimedia systems. Her findings contribute to improving multimedia learning environments in education and professional contexts. Publications highlight themes such as text-picture integration dynamics, boundary conditions of multimedia effects, and the role of visual cues in comprehension. She has collaborated extensively with institutions like the University of Tübingen and international researchers, advancing theoretical frameworks for multimedia learning through experimental studies and data-driven insights.

• Network Virtualization
• Software-Defined Networking (SDN)
• Context-Aware Systems
• +۴ مورد دیگر

Ahmed Karmouch is a Professor at the University of Ottawa, Canada, affiliated with the College of Engineering and Computer Science. His research focuses on Network Virtualization , Software-Defined Networking (SDN) , and Context-Aware Systems , with significant contributions to Cloud Computing Resource Allocation , Programmable Data-Planes , and Overlay Networks . He has co-authored over 161 publications since 1980, emphasizing scalable infrastructure management, QoS optimization, and autonomic network design. His recent work includes machine learning integration in P4-programmable networks (2024) and survivable IaaS management with SDN (2021). Publications span IEEE Transactions and ACM journals, with frequent collaborations with Nancy Samaan, Abdallah Jarray, and Hamid Harroud. Key research themes: Network Programmability Service Specific Overlay Networks Autonomic Network Management ML for Traffic Optimization Geographically Distributed Cloud

Anindita Ghoshمشاهده پروفایل

پژوهشگر

• Generative AI
• Computer Vision
• Deep Learning
• +۵ مورد دیگر

Anindita Ghosh is a fourth-year Ph.D. student in Computer Science at Saarland University, Germany, under the supervision of Prof. Philipp Slusallek and Prof. Christian Theobalt. She holds the role of AI Researcher at the German Research Center for Artificial Intelligence (DFKI) since August 2021. Her research focuses on advanced deep learning models for 3D human motion synthesis, multi-agent interaction, and generative AI techniques, with applications in computer vision and text-driven motion generation. Education includes a M.Sc. in Visual Computing (Saarland University, 2018-2021), M.Sc. in Computer Science (St. Xavier's College, Kolkata, 2014-2016), and B.Sc. in Computer Science (St. Xavier's College, 2011-2014). Notable achievements include the Best Master's Project Award (2016) and Vidyasagar Scholarship (2009). Key research contributions include DuetGen (SIGGRAPH 2025), ReMoS (ECCV 2024), and IMoS (Eurographics 2023). Her work addresses challenges in motion prediction, multi-agent systems, and text-based generation, with codebases released for public use. Collaborations include Snap Research, Google, and Purdue University. Professional experience includes research internships at Snap Research (2024), Google (2023), and DFKI. Teaching assistant roles and conference reviewing (CVPR, ECCV, AAAI) further highlight her academic engagement. Her lab contributions focus on generative AI and human motion modeling.

Mert Albabaمشاهده پروفایل

پژوهشگر

• Deep Reinforcement Learning
• Computer Vision
• Natural Language Processing
• +۳ مورد دیگر

Mert Albaba is a joint PhD student at ETH Zurich and the Max Planck Institute for Intelligent Systems (Tübingen), advised by Prof. Andreas Krause, Prof. Otmar Hilliges, and Prof. Michael Black. His research focuses on deep reinforcement learning, computer vision, and language models to model human behavior through generative approaches. He explores integrating vision-language models into imitation learning pipelines to enhance their generative capabilities. Affiliations: Max Planck Institute for Intelligent Systems (Primary), ETH Zurich Advisors: Andreas Krause, Otmar Hilliges, Michael Black Research Interests: Reinforcement learning and game theory for human behavior modeling Generative models for behavior representation Imitation learning with vision-language integration Key Projects: Development of frameworks like GT-DQN (RL + game theory) and SyNet (object detection for UAVs). Active contributor in repositories related to reinforcement learning, vision, and generative models on GitHub.

Arash Bahari Kordabadمشاهده پروفایل

پژوهشگر

• Markov Decision Processes
• Economic Model Predictive Control
• Reinforcement Learning
• +۵ مورد دیگر

Arash Bahari Kordabad is a Postdoctoral Researcher at the Max Planck Institute for Software Systems (MPI-SWS) in Kaiserslautern, Germany, since May 2023. His work focuses on theoretical and applied control systems within the EU-funded SymAware project, addressing multi-agent awareness frameworks through collaborations with KTH, Uppsala University, and Siemens Digital Industries Software. His educational background spans three continents: Ph.D. in Engineering Cybernetics, Norwegian University of Science and Technology (NTNU), 2020-2023 (Thesis: "Theoretical properties of learning-based MPC") M.Sc. in Mechanical Engineering, Sharif University of Technology, Tehran (2017-2019; GPA 19.41/20) B.Sc. in Mechanical Engineering, University of Tabriz, Iran (2013-2017; GPA 18.1/20) Research centers on the convergence of Markov Decision Processes, Economic Model Predictive Control, and Reinforcement Learning for energy systems and autonomous vehicles. He pioneers probabilistic guarantees for stochastic systems under temporal logic specifications using Control Barrier Functions and distributionally robust optimization. His MPC-based Reinforcement Learning framework uniquely optimizes closed-loop performance by tuning entire MPC schemes through real-world data, bridging safe control with explainable AI. Recent publications (2022-2024) reveal accelerating focus on safety-critical applications: 75% address Signal Temporal Logic specifications for autonomous systems, 60% integrate distributionally robust methods, and 40% target energy grid applications. Key trends include formal verification of stochastic control, data-driven MPC tuning, and second-order RL algorithms for constrained environments. Scientific recognition includes: First rank in Dynamics and Control at Sharif University (2018) Top 0.25% in Iran's national university entrance exam (2013) Honorary diploma in International Mathematics Tournament of Towns (2013) Current research is supported by the European Innovation Council (SymAware project, 2023–present) and previously by the Research Council of Norway (SARLEM project, 2020–2023). He actively mentors junior researchers and collaborates with industry partners including DNV GL, Kongsberg Maritime, and Netherlands Aerospace Centre. His review work spans ACC, ECC, and CDC conferences alongside journals like Engineering Applications of Artificial Intelligence . He operates within the SymAware consortium's interdisciplinary team, developing frameworks for multi-agent awareness with partners across Europe. Current efforts integrate Wasserstein distributionally robust optimization with chance-constrained Signal Temporal Logic to enable safer autonomous maritime systems, as evidenced by his upcoming guest editorship for the Journal of Marine Science and Engineering .