جست‌وجوی استاد و پژوهشگر

Angelika Braunمشاهده پروفایل

استاد

• Sociophonetics
• Forensic Phonetics
• Contrastive Phonetics
• +۶ مورد دیگر

Prof. Dr. Angelika Braun is a full Professor of Phonetics at the University of Trier since October 2009, with a career spanning forensic phonetics, sociophonetics, and cross-cultural speech analysis. She previously held roles at the Bundeskriminalamt (Wiesbaden/Düsseldorf) and Philipps-Universität Marburg, where she habilitated in Phonetics and Speech Processing (2000). Her work bridges academic research with forensic practice. Research Focus: Her Sociophonetics (language and emotions, gender-specific speech) Forensic Phonetics (speaker identification, voice analysis) Contrastive and Hawaiian Phonetics Speech prosody and toxin effects (smoking, alcohol) Intercultural dubbing studies Academic Contributions: Over 15 recent articles explore voice quality, emotional speech, forensic age estimation, and cross-cultural dubbing effects. Key conferences include Interspeech, International Congress of Phonetic Sciences, and ISCA. Her work appears in journals like Forensic Linguistics and The Phonetician . Scientific Honors: Fellow of the American Academy of Forensic Sciences (AAFS) Founder Member and former Chairperson of the International Association for Forensic Phonetics (IAFP) Life-Member of the International Phonetic Association (IPA) Leadership roles in ISPhS and GAL Practical Impact: Developed the Almeida-Braun Transcription System for dialect analysis and contributed to forensic audio enhancement protocols (e.g., Rodney King case). Serves as reviewer for Language and Speech , Forensic Linguistics , and JIPA . Collaborates on longitudinal studies of vocal aging and speaker identification.

• Computer Vision
• Machine Learning
• Deep Learning
• +۳ مورد دیگر

Prof. Margret Keuper is a Professor in the Department of Computer Vision and Machine Learning at the Max Planck Institute for Informatics. Her research focuses on advancing machine learning and computer vision techniques, with an emphasis on model fairness, adversarial robustness, and multimodal interactions. She leads interdisciplinary projects exploring topics such as dataset analysis, generative models, and climate action through visual narrative analysis. Research Interests: Her work bridges theoretical foundations and practical applications in domains like adversarial training, image classification robustness, and robotics perception. She explores how vision-language models can be steered to align with human biases and develops methods for data-efficient learning and interpretability. Recent Contributions: Recent work includes FAIR-TAT (model fairness via adversarial training), VSTAR (video synthesis), and TikZero (zero-shot graphics program generation). Her publications in top venues like CVPR, ICCV, and ICLR highlight contributions to both methodological innovation and real-world impact. Collaborations: Works closely with researchers across Max Planck and academic partners, focusing on projects such as sensor layout optimization, climate discourse analysis via social media imagery, and domain-aware foundation model fine-tuning.

• Computer Science
• Machine Learning
• Data Science
• +۴ مورد دیگر

Yong Zhang is affiliated with Tsinghua University's Research Institute of Information Technology in Beijing, China. His research focuses on machine learning, optimization algorithms, edge computing, and their applications in areas like time series analysis, federated learning, and sensor networks. He has collaborated on projects involving neural networks, scheduling problems, and privacy-preserving techniques. Education: Yong Zhang earned a PhD in Computer Science and Engineering from Fudan University in 2007. His academic career includes roles at institutions like the Chinese Academy of Sciences and the University of Hong Kong, reflecting a strong interdisciplinary background. Research Contributions: His work spans theoretical computer science, algorithm design, and applied machine learning. Notable areas include developing efficient scheduling algorithms for energy systems, creating robust federated learning frameworks for industrial demand forecasting, and advancing methods for sentiment analysis using multimodal data. He has also contributed to biomedical engineering through smartphone-based health monitoring systems. Collaborations: He frequently collaborates with researchers at institutions like the University of Electronic Science and Technology of China, Nanyang Technological University, and The Hong Kong Polytechnic University. Key projects involve data caching optimization in edge computing, distributed algorithms for dynamic networks, and combinatorial optimization problems. Labs & Future Work: His team explores cutting-edge topics in AI-driven systems, including trust-aware machine learning, distributed resource allocation, and real-time data processing for IoT applications. Current research emphasizes scalable solutions for complex optimization challenges in both academic and industrial settings.

Carolin Schweglerمشاهده پروفایل

پژوهشگر ارشد

• Linguistics
• Environmental Humanities
• Medical Humanities
• +۷ مورد دیگر

Carolin Schwegler is a Senior Researcher at the University of Cologne’s Multidisciplinary Environmental Studies in the Humanities (MESH) and the Department of German Linguistics and Literature 1. Her work focuses on pragmatics, multimodal discourse, and conversation analysis, with an applied emphasis on environmental and medical humanities. She earned a Master’s in German Studies and Philosophy, and a doctorate in German Linguistics (summa cum laude) from Heidelberg University, where her thesis analyzed argumentation strategies in climate and sustainability discourse across media and corporate reports. Affiliations: MESH, Department of German Linguistics and Literature 1 Interdisciplinary Projects: Leads subprojects in PreTAD (predictive turn in Alzheimer’s), CCM (Cultural Climate Models), and HESCOR (Human and Earth System Coupled Research), funded by EU, DFG, and state grants. Her research interests include sustainability communication, risk and disaster communication, future imaginaries, green tourism, language and pain, and sociolinguistics of plant studies. She analyzes linguistic practices in predictive medicine, climate discourse, and interdisciplinary collaborations. Recent work explores dementia risk prediction ethics, social media climate imaginaries, and multimodal identity construction. Her publications span edited volumes on health literacy, mental illness, and language-nature links, alongside articles in LiLi , Alzheimer’s & Dementia , and OBST . She actively presents at conferences globally and collaborates internationally with teams in neuroscience, ethics, and environmental policy.

Katja Heimمشاهده پروفایل

استاد

• Didactics of English
• Social Inclusion in Education
• Blended and Digital Learning
• +۵ مورد دیگر

Univ.-Prof. Dr. Katja Heim is a prominent academic in the field of English Didactics, currently serving at the Institute of English Philology (WE6) at Freie Universitaet Berlin . With extensive experience in primary and secondary English education, her work focuses on social inclusion , learner autonomy , and hybrid/digital learning environments . She has held various academic positions including Freie Universitaet Berlin since 2024, after roles at Duisburg-Essen and other institutions. PhD in English Didactics Specializes in project-based teacher education Expert in bilingual learning in primary schools Her research emphasizes democratic classroom practices , multimodal texts , and technology integration in language teaching. Notable contributions include coordinated projects on digital media in teacher training and publications on inclusive education strategies. While her recent articles highlight hybrid learning and learner autonomy frameworks, her career spans over two decades of academic development in English education. Key research trends include: Blended learning implementation Bilingual education models Action research methodology

Ilona Buchemمشاهده پروفایل

استاد

• Digital Media
• Communication
• Collaboration
• +۱۰ مورد دیگر

Prof. Dr. Ilona Buchem is a Professor of Communication and Media Studies at the Berlin University of Applied Sciences (BHT), Department I of Business and Social Sciences. She serves as Head of the Communication Laboratory and leads research in human-robot interaction, educational robotics, and technology-enhanced learning. Her work spans multiple interdisciplinary projects including Social Robotics, Open Virtual Mobility, and ePA-Coach, focusing on digital media for communication, collaboration, and digital sovereignty for older adults in healthcare contexts. Dr. Buchem holds a doctorate in business education from Humboldt University and a certificate in business administration from the University of St. Gallen, Switzerland. Her academic background bridges business education with digital media expertise, positioning her at the intersection of technology and communication for innovative educational approaches. Her research interests focus on human-robot interaction in educational contexts, social robotics for learning, AI applications in education, and digital media for communication and collaboration. She explores how robots can serve as educational tools in business studies, language learning, and health-related applications. Her work also investigates digital sovereignty, particularly for older adults using electronic health records, and the use of open digital credentials like Open Badges for recognizing learning achievements. The integration of gamification elements with social robots represents another significant strand of her research, enhancing student engagement and learning outcomes. Analysis of her recent publications reveals a strong focus on practical applications of social robots in educational settings, particularly examining student perceptions of different robot platforms (NAO, Pepper, Furhat). Her work increasingly integrates generative AI with robotics, exploring conversational interfaces and new learning paradigms. There's also a consistent thread examining digital literacy for seniors, especially regarding electronic health records, and innovative approaches to recognizing learning through micro-credentials and digital badges. Dr. Buchem actively supervises numerous bachelor's and master's theses across multiple programs including Business Administration: Digital Economy and Media Informatics Online. She has established a digital award system based on Open Badges to recognize outstanding thesis work with top grades. Her research is supported through various funding sources including BMBF, EU, DFG, and industry partners, with projects spanning social robotics, virtual reality applications, and digital credentialing systems that connect academic research with practical applications. She leads the Communication Laboratory at BHT and is actively involved in the 'House of Robotics' initiative at the university. Her work connects with international partners through projects like Social Robotics (EU) and Open Virtual Mobility, creating a global network for educational robotics research and development that bridges European institutions and promotes cross-cultural educational exchange.

Barbara Sophie Hänel-Faulhaberمشاهده پروفایل

استاد

• German Sign Language (DGS)
• Language Acquisition in Hearing-Impaired Children
• Inclusive Education
• +۵ مورد دیگر

Prof. Dr. Barbara Sophie Hänel-Faulhaber is a Professor at the University of Hamburg’s Faculty of Education , specializing in German Sign Language (DGS) and audiopedagogy . Her research focuses on language acquisition and processing in DGS , particularly among deaf children and inclusive educational settings . She leads the Deafness, Language and Learning Lab (D2L) and contributes to the faculty’s core research area Literacy in Diversity Settings . Education: Dr. phil. in Sign Languages (University of Hamburg, 1999–2003) Magister Artium in Sign Languages, Linguistics (University of Hamburg, 1996–1999) Double Degree in Deaf Education, Elementary Education (LMU Munich, 1992–1996) Her work examines bimodal-bilingual education , iconicity in early sign learning , and structural conditions in inclusive daycare centers . She develops diagnostic tools like the DGS-Version of MBK 0 for assessing numerical competencies in deaf children. Current projects include Coactivation of Difference (2023–2026) and Sign4Inclusion (Math) (2023–2024). Scientific Awards: Institutional Prize for German Language 2023 Heinrich Böll Stiftung Promotionsstipendium (1999–2003) Wilhelm-Stiftung Post Doc Fellowship (2005) She collaborates with institutions like the Institute of German Sign Language and Deaf Communication and the Graduate School Martha Muchow , with recent publications spanning sign language diagnostics , inclusive pedagogy , and cross-modal literacy studies .

Kai Essigمشاهده پروفایل

استاد

• Human Factors
• Interactive Systems
• Eye Tracking
• +۱۵ مورد دیگر

Prof. Dr. Kai Essig is a Professor of Human Factors and Interactive Systems at the Faculty of Communication and Environment, Rhine-Waal University of Applied Sciences, Kamp-Lintfort, Germany. He has a strong interdisciplinary background combining computer science, cognitive science, and human-computer interaction, with a focus on eye tracking, visual perception, and assistive technologies. Master of Science in Computer Science and Chemistry, Bielefeld University (1998) Ph.D. in Computer Science, Bielefeld University (2007) His research centers on eye tracking, human-computer interaction, usability engineering, visual attention, and cognitive interaction technology . He investigates how movement expertise influences visual perception and how multimodal software can support real-time human actions. His work integrates computer vision, machine learning, and neuroscience to develop intelligent systems that adapt to user behavior. The 15 most recent publications reflect a consistent trend in eye movement analysis, mental representations, brain-machine interfaces, and assistive technologies . These works span domains such as sports psychology, robotics, augmented reality, and cognitive neuroscience, demonstrating a strong interdisciplinary approach. Key themes include gaze-based interaction, automated annotation of visual behavior, and the implementation of smart systems for daily living assistance. Scientific recognition includes: Landmark in the Land of Ideas (2018) – for the ADAMAAS project, awarded by 'Land of Ideas', a joint initiative of the German government and the Federation of German Industries Prof. Essig has been actively involved in research projects such as ADAMAAS (Adaptive and Mobile Action Assistance in Daily Living Activities), which received national recognition. He has collaborated extensively with the Neurocognition and Action-Biomechanics Research Group at Bielefeld University and the Excellence Cluster CITEC. While no formal advising of students is listed, his publications suggest mentorship and collaboration with junior researchers. His lab work is centered on eye-tracking systems, multimodal interaction, and cognitive modeling , particularly within applied environments like smart glasses and assistive technologies.

• Cognitive Neuroscience
• Neural Plasticity
• Language Processing
• +۵ مورد دیگر

Professor Gesa Hartwigsen is a leading cognitive neuroscientist holding dual appointments as Professor for Cognitive and Biological Psychology at Leipzig University and Lise Meitner Research Group Leader at the Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS). She leads the Research Group Cognition and Plasticity, focusing on neural networks for higher cognitive functions, adaptive plasticity in cognition, and language network reorganization after stroke. Her educational background includes: Studies of Psychology (Dipl.-Psych., 2001-2006) at Kiel University PhD in Neurology (Dr. phil., 2007-2010) at Kiel University Habilitation in Psychology (2018) at University of Potsdam Hartwigsen's research spans cognitive neuroscience with particular emphasis on language processing, neural plasticity, and brain stimulation techniques. Her work investigates how brain networks support semantic cognition, how they adapt following neurological damage, and how they change across the lifespan. She employs advanced methodologies including transcranial magnetic stimulation (TMS), functional MRI, and concurrent TMS-fMRI to establish causal relationships in neural processing. Analysis of her recent publications reveals a strong focus on language networks, executive control mechanisms, and neural plasticity. Her work increasingly integrates advanced computational approaches with neurostimulation to understand semantic processing, speech comprehension in challenging environments, and recovery from language disorders. A significant trend is her development of methodological frameworks for concurrent TMS-fMRI, establishing new standards in the field. Her notable scientific recognition includes: ERC Consolidator Grant (2023-2027) for "The Flexible Brain: (Re-)shaping Adaptation in Semantic Cognition" NVIDIA GPU grant (Titan Xp Donation) Hartwigsen has secured substantial research funding, including multiple DFG projects as Principal Investigator. Her current DFG Research Unit (2023-2026) focuses on "Modulation of brain networks for memory and learning by transcranial electrical stimulation," where she serves as PI. She has successfully led multiple interdisciplinary projects examining language networks, neural plasticity, and brain stimulation effects. At the MPI CBS, she leads the Cognition and Plasticity research group, which investigates how brain networks support cognitive functions and adapt to challenges. Her team employs a multimodal approach combining neurostimulation, neuroimaging, and behavioral methods to understand the causal architecture of cognitive networks, particularly in language processing and semantic cognition.

• Spatial Modeling
• Temporal Modeling
• Semantic Modeling
• +۷ مورد دیگر

Prof. Thomas H. Kolbe serves as Chair of Geoinformatics at the Technical University of Munich (TUM), where he leads research in spatial, temporal, and semantic modeling of urban environments. His work focuses on developing foundational frameworks for 3D/4D city models, digital twins, and smart city applications through international standardization efforts including CityGML and IndoorGML. His research spans virtual city modeling, urban system simulation, and GIS integration with emerging technologies. Current projects emphasize AI-driven urban scenario generation, semantic streetspace modeling, and IoT integration in digital twin ecosystems. Recent publications demonstrate strong interdisciplinary connections between computer vision, urban planning, and geospatial data science, with particular emphasis on practical implementations of 3D city models for sustainability challenges. Prof. Kolbe actively contributes to professional organizations including the Round Table GIS eV (as Chairman since 2013) and the Munich Data Science Institute (as core member since 2021). His leadership extends to the Leonhard Obermeyer Center for digital methods in the built environment and the Hans Eisenmann Forum for agricultural sciences. His work bridges theoretical geoinformatics with practical urban applications through numerous collaborative projects with municipal governments and industry partners.

Inés Recioمشاهده پروفایل

مدرس

• Applied Linguistics
• Discourse Analysis
• Pragmatics
• +۳ مورد دیگر

Dr. Inés Recio is an academic director at the Heidelberg Center Latin America (HCLA) in Santiago, Chile, and a lecturer in legal translation at the Pontifical Catholic University of Chile. She holds a PhD in Modern Languages (summa cum laude) from Heidelberg University (2019) and has extensive experience in applied linguistics, discourse analysis, and translation studies. Her research focuses on experimental pragmatics, cognitive linguistics, and the processing of discourse markers in Spanish and other languages. Education: PhD, Faculty of Modern Languages, University of Heidelberg (2013–2019) Master of Arts in Applied Linguistics, Universidad Nebrija (2009–2011) Bachelor's in Translation and Interpreting, Universidad Pontificia Comillas (2000–2004) Research Interests: Her work explores how procedural meaning influences second language processing, with a focus on connectives and discourse particles. She employs experimental methods, including eye-tracking, to analyze cognitive aspects of language use in multimodal contexts. Recent projects include studies on pandemic discourses in Latin America and multimodal literacy in education. Academic Roles: She serves on admissions committees for international law and governance programs and is a member of Heidelberg's Ibero-American Studies and Language and Cognition labs. She has led projects funded by DAAD, CONICYT, and others, focusing on discourse processing and cross-linguistic studies. Awards: Summa Cum Laude distinction for her doctoral thesis (2019). Other Qualifications: Sworn translator (German/Spanish, English/Spanish), certified examiner for Instituto Cervantes Spanish proficiency exams.

Masahiro Ryoمشاهده پروفایل

استاد

• Environmental Data Science
• Artificial Intelligence
• Biodiversity Science
• +۵ مورد دیگر

Masahiro Ryo is a Professor of Environmental Data Science at Brandenburg University of Technology (BTU) and leads the working group "Artificial Intelligence for Smart Agriculture" at the Leibniz Centre for Agricultural Landscape Research (ZALF). His research integrates machine learning with ecological systems to address global sustainability challenges, focusing on biodiversity, soil health, and AI-driven agricultural solutions. His work spans environmental data science, ecosystem services, and smart agriculture. Key themes include explainable AI for biodiversity monitoring, soil organic carbon prediction, and machine learning applications in ecological modeling. Recent publications highlight trends in environmental AI, with applications in yield mapping, fungal taxonomy, and global change ecology. He emphasizes the integration of ecological theory with deep learning to tackle small-data problems and improve model transferability. Contact: masahiroryo@gmail.com | Personal Website

Matthias Schlesewskyمشاهده پروفایل

استاد

• Neurobiology of Language
• Cognitive Neuroscience
• Language Processing
• +۳ مورد دیگر

Prof. Matthias Schlesewsky is a Professor of Psychology at the University of South Australia. Previously, he held positions as Professor of General Linguistics at the University of Mainz and as a Junior Professor at the University of Marburg. With a unique background in chemistry and a PhD in linguistics, he specializes in interdisciplinary research at the intersection of science and humanities. His research focuses on the neurobiological foundations of language and how language processing evolves across the lifespan. Key interests include sentence comprehension mechanisms, cross-linguistic neurocognitive models, and the interplay between auditory processing and language evolution. Prof. Schlesewsky’s work integrates experimental methods like EEG and eye-tracking to explore real-time language processing. His contributions have advanced understanding of linguistic universals and neural mechanisms underlying language.

• Indoor Localization
• Wireless Networks
• Pervasive Computing
• +۱۱ مورد دیگر

Shueng-Han Gary Chan is a faculty member in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST), within the College of Engineering. He is actively engaged in research and mentoring, with a strong publication record in mobile computing, indoor localization, and AI for pervasive systems. His research focuses on indoor localization using Wi-Fi, geomagnetic, and inertial signals , sensor fusion , crowd counting with deep learning , domain adaptation , and efficient mobile AI systems . His work bridges theoretical innovation with real-world deployment, as seen in systems for missing person search and indoor navigation. Recent publications (2023–2025) show a consistent trend toward self-supervised and domain-agnostic learning , efficient model design for mobile devices , and robust signal fusion in noisy environments . His team leverages transformer architectures, graph neural networks, and novel optimization techniques to solve real-world challenges in urban and indoor spaces. He has advised numerous graduate students, including Jierun Chen, Zhuoxuan Peng, and Tianlang He, who have contributed as first authors to joint publications. His collaborations span institutions and include work on large-scale system deployments and mobile AI. He leads a research group focused on mobile and pervasive computing , with projects involving IoT-based contact tracing, indoor navigation (e.g., DeepNavi, SiFu), and real-time localization systems. The team emphasizes practical deployment and system robustness.

Jana Gonnermann-Müllerمشاهده پروفایل

پژوهشگر

• Human-Machine Interaction
• Educational Technology
• Cognitive Load Theory
• +۴ مورد دیگر

Jana Gonnermann-Müller is a research assistant at the Chair of Business Information Systems, Processes and Systems at the University of Potsdam . Holding an M.Sc. in Psychology from Humboldt University of Berlin, her work focuses on human-machine interaction, particularly examining learning, decision-making, and trust in technological collaborations. Degree: Master of Science (M.Sc.) in Psychology Alumni: Humboldt University of Berlin Current Role: Scientific Associate at University of Potsdam Research explores cognitive factors in augmented reality and AI assistance systems , employing experimental designs and eye tracking methodologies. Key projects include investigating visual guidance in AR, comparing AR display types, and developing frameworks for generative AI in education. Publications (2023-2025) demonstrate expertise in digital education , cognitive load optimization , and technology-enhanced learning . Collaborations span institutions like Hong Kong Polytechnic University , University of California, Davis , and Weizenbaum Institute , with corporate consulting on learning technology implementation. Technical focus areas include: Human-System Design Optimization Eye Tracking & Usability Studies AI Recommender Systems Industry 4.0 Implementation Research applications extend to: Secondary Education Technology Assembly Line AR Integration Change Management Systems Maintenance AR Visualization