Professor Bernd Möbius is a leading academic in Phonetics and Phonology at the Department of Language Science and Technology, Saarland University. His research bridges phonetic theory with speech technology applications, focusing on text-to-speech systems, prosody modeling, and computational simulations of speech processes. Current research projects: DFG SFB 1102, C1: Information density and phonetic structure predictability DFG SFB 1102, C4: Slavic intercomprehension and surprisal theory (INCOMSLAV) Research Themes: Key areas include text-to-speech synthesis, speech prosody analysis, experimental methods in speech production/perception, information density in phonetics, and cross-linguistic studies of Slavic-Germanic languages. Scientific Contributions: Recent work explores Parkinson-induced dysarthria detection, breath noise acoustics, surprisal-driven speech behaviors, multilingual BERT models for idiomaticity, and perceptual consequences of acoustic adjustments.
Susanne Weis is a Research Professor and Group Leader of the 'Variability of the Brain' group at the Department of Brain and Behavior (INM-7), part of the Institute of Neuroscience and Medicine (INM) at Research Center Jülich GmbH. Her work focuses on understanding brain variability through advanced neuroimaging techniques and machine learning, with particular emphasis on sex differences, hormonal influences, and clinical applications in mental health. Her research interests include neuroimaging methodologies, machine learning applications in cognitive neuroscience, and the structural-functional relationships underlying brain variability. She investigates how factors like sex hormones and naturalistic stimuli (e.g., movies) affect brain connectivity and cognitive performance, aiming to improve diagnostic and predictive tools for disorders such as schizophrenia and Alzheimer’s disease. Publications highlight her contributions to developing datasets (e.g., SpEx), analyzing confound leakage in ML models, and exploring meta-analytic networks during naturalistic viewing. Her work bridges basic science and clinical impact, addressing challenges in interpreting neuroimaging data and advancing personalized medicine approaches. In her role as a group leader, Weis oversees research projects and collaborates with interdisciplinary teams. She is affiliated with the Helmholtz Association and contributes to the broader scientific community through her research in neuroimaging and computational neuroscience.
Univ-Prof. Dr. med. Malek Bajbouj serves as Director of the Institute for Affective Neuroscience and Emotion Modulation at Charité – University Medicine Berlin's Campus Benjamin Franklin (CBF), operating within the Department of Neurology, Neurosurgery and Psychiatry (CC 15). His position integrates clinical leadership with translational neuroscience research focused on severe mental illnesses. Dr. Bajbouj's research program centers on affective neuroscience and emotion dysregulation mechanisms in psychiatric disorders, particularly schizophrenia spectrum conditions and depression. He pioneers multimodal intervention approaches combining neuromodulation (tDCS), oxytocin augmentation, mindfulness therapies, and digital health tools. His work emphasizes translational biomarker development using neuroimaging, machine learning, and physiological stress parameter analysis to personalize treatment for treatment-resistant populations. Analysis of his 2023-2025 publications reveals three dominant research trajectories: (1) novel treatment combinations for negative symptoms in schizophrenia (oxytocin + mindfulness, yoga therapy); (2) real-world implementation of neuromodulation (at-home tDCS protocols, technical efficacy monitoring); and (3) global mental health responses to crises (pandemic impacts on vulnerable groups, culturally adapted refugee interventions). His methodology consistently employs rigorous randomized controlled trials with embedded biomarker studies. As director of his eponymous institute, Dr. Bajbouj leads a multidisciplinary team conducting neuroimaging studies, clinical trials, and international collaborations focused on emotion modulation pathways. The institute coordinates research across CC 15's clinical infrastructure at CBF Building V, with particular emphasis on bridging laboratory neuroscience with clinical psychiatry through the DepressionDC and OXYMIND trial frameworks.
Shrikanth (Shri) Narayanan is University Professor and Niki & C. L. Max Nikias Chair in Engineering at the University of Southern California (USC), with appointments spanning Electrical & Computer Engineering, Computer Science, Linguistics, Psychology, Neuroscience, Pediatrics, and Otolaryngology-Head & Neck Surgery. He serves as Research Director of the Information Sciences Institute and Director of the Ming Hsieh Institute. PhD in Electrical Engineering (UCLA, 1995) Engineer and MS in Electrical Engineering (UCLA, 1992 and 1990) BE in Electrical Engineering (Anna University, India, 1988) His interdisciplinary research focuses on human-centered signal processing and machine intelligence , addressing societal challenges in health, education, defense, and media arts. Key areas include: Behavioral signal processing Affective computing Multimodal signal processing Computational speech science Biomedical applications Scientific Awards : IEEE James L. Flanagan Speech and Audio Processing Award (2025) Edward J. McCluskey Technical Achievement Award (2024) ISCA Medal for Scientific Achievement (2023) Claude Shannon-Harry Nyquist Technical Achievement Award (2023) ACM ICMI Sustained Accomplishment Award (2020) USC Distinguished Faculty Service Award With over 1,000 publications and 19 patents , his work has been commercialized through startups like Behavioral Signals Technologies and Lyssn . He leads transformative university initiatives and has served in editorial roles for top journals including Computer Speech and Language and IEEE Transactions on Affective Computing .
Prof. Dr. Teresa Sansour is a full Professor of Pedagogy and Didactics in Cases of Intellectual Development Impairments with Special Consideration of Inclusive Educational Processes at the Institute for Special and Rehabilitation Education, Carl von Ossietzky University of Oldenburg. She joined the university in April 2020 and has held leadership roles including Vice Director for Teaching at the Center for Teacher Education (since October 2021) and Deputy Institute Director (since April 2025). Her academic affiliations reflect a deep commitment to inclusive and special education. Her research focuses on educational interactions in the context of intellectual disabilities, inclusive subject didactics, the participation of people with complex disabilities, and the professionalization of educators and prospective teachers. Key research areas include inclusive literacy, art education, teacher motivation, and social integration. She leads significant funded projects such as Literary Texts in Simple Language (LiES) and Lighthouses for Participation , both aimed at enhancing inclusion for people with disabilities. The recent publications of Prof. Sansour span topics such as school absenteeism in autism, self-concept in intellectual disabilities, inclusive art education, and participation models. Her work demonstrates a strong interdisciplinary and applied focus, combining qualitative methods with pedagogical innovation. She frequently publishes in peer-reviewed journals and edited volumes on special education, inclusive didactics, and disability studies. Member, German Society for Educational Research (DGFE), Section Special Education Member, Network for Complex Disabilities e.V. Chair, Advisory Board of the Georg-Leffers-Stiftung Chair, Association for the Promotion of Pedagogical Rehabilitation and Social Integration of People in Risk Situations Board Member, German Interdisciplinary Society for Research Promotion for People with Intellectual Disabilities (DIFGB) Prof. Sansour actively contributes to academic leadership and teacher training. She serves as program coordinator for the Bachelor’s in Special Education and accreditation officer for the Special Education/Social Studies cluster. Her work includes advising on inclusive curricula, fostering research collaborations, and securing external funding for inclusive initiatives. She has not received explicitly mentioned scientific awards in the provided text. She is involved in multiple collaborative research teams and projects focused on inclusion, literacy, and disability rights.
Thomas Grote is a Research Fellow at the University of Tübingen's Ethics and Philosophy Lab within the Cluster of Excellence 'Machine Learning: New Perspectives for Science'. His research focuses on philosophical and ethical dimensions of artificial intelligence, particularly interpretability, fairness, and reliability in medical and social contexts. He co-supervises the Carl-Zeiss-Stiftung-funded project 'Certification and Foundations of Safe Machine Learning Systems in Healthcare' and co-organizes the 'Philosophy of Science Meets Machine Learning' conference series. Research Focus Grote's interdisciplinary work bridges philosophy of science and applied AI ethics. Key areas include: Methodological foundations of AI ethics and epistemology Clinical reliability and safety of ML systems Fairness metrics in sociotechnical healthcare systems Interpretability requirements for medical AI Computational psychiatry and evolving mental health frameworks His recent publications demonstrate strong emphasis on healthcare applications, with critical analyses of reliability in foundation models, ethical paradigms for LLMs, and rethinking evaluation methodologies at the epistemology-ethics interface.
Prof. Dr. Sabine C. Koch is a Professor of Dance and Movement Therapy at Alanus Hochschule Alfter and Head of the Research Institute for Creative Arts Therapies (RIArT). She holds a habilitation and multiple professorships, including at SRH Hochschule Heidelberg (2012–present) and has led the Alanus Research Institute since 2015. Her work focuses on embodiment theory, applying it to creative arts therapies such as dance, theater, and art to address mental and physical health challenges. Her education includes a Diplom in Psychology from Heidelberg University (1999) and a PhD (2003) and Habilitation (2009) from Heidelberg. She has led major projects like the BMBF-funded 'Körpersprache' (2009–2011), the EU TESIS project (2011–2015), and the Heidelberg Center for Motion Research (2016–2022). Awards include ADTA Research Awards (2007, 2013, 2014, 2023) and a Fulbright Scholarship (1996). Research interests span embodiment theory, enaction, systems theory, and their application in therapies. Her work emphasizes the role of movement in mental health, including studies on autism, schizophrenia, oncology, and refugee trauma. She collaborates internationally, including with institutions in Chile, Slovenia, and France. Her recent articles explore drama therapy for flood-affected children, dance therapy for dementia patients, and embodied approaches to experience studies. Grants and networks include the DFG-funded EmbodiNet (2024–2026) and a PhD program in Creative Arts Therapies with Witten/Herdecke University. Koch’s labs and teams focus on interdisciplinary motion research and clinical applications of movement therapies. She has advised numerous studies on therapeutic efficacy and co-authored over 200 peer-reviewed articles and books, including 'The Routledge International Handbook of Embodied Perspectives in Psychotherapy' (2019).
Dr. Jing Wang is a Professor in the Department of Bioinformatics at Southern Medical University's School of Medicine, with extensive research at the intersection of artificial intelligence and biomedical applications. Her work demonstrates strong cross-disciplinary collaboration across medical institutions, engineering departments, and computer science research groups. Her primary research interests include Artificial Intelligence in Healthcare , Biomedical Engineering , and Traditional Chinese Medicine Informatics , with recent publications showing particular expertise in medical imaging analysis, diagnostic assistance systems, and clinical decision support. Her work spans both theoretical algorithm development and practical clinical implementations. Analysis of her 15 most recent publications (2025-2026) reveals a strong trend toward clinically applicable AI systems, with approximately 60% of publications focused on medical diagnostics and treatment support systems. The remaining publications demonstrate expertise in industrial applications of computer vision and fundamental AI research. Her work shows consistent collaboration with both domestic Chinese institutions and international research groups. Notable scientific contributions include: Development of 'Tianyi', a traditional Chinese medicine language model for clinical practice Innovations in bionic soft robotics for rehabilitation assistance Novel approaches to medical image analysis for cancer diagnostics Her research program appears well-funded with consistent publication output across high-impact journals in biomedical engineering, AI, and medical informatics. Current work suggests strong emphasis on translating AI research into clinical practice, particularly in diagnostic support systems and rehabilitation technology.
Prof. Dr. phil. Dipl. Psych. Ulrike Kluge is a Professor and Head of the Center of Cross-Cultural Psychiatry and Psychotherapy (ZIPP) at Charité – Universitätsmedizin Berlin. She concurrently leads the Research Division for Intercultural Migration and Care Research within Social Psychiatry and serves as a Senior Researcher at the Berlin Institute for Integration and Migration Research (Humboldt University). Her work focuses on intercultural mental health services and migration-related psychosocial challenges. Research Focus: Kluge specializes in critical migration studies examining psychological impacts of displacement, ethno-psychoanalysis, psychotherapy with cultural interpreters, and group-analytic approaches in transcultural contexts. Her research portfolio includes qualitative investigations into: Mental health consequences of racism and structural discrimination Refugee-host community dynamics Language barriers in healthcare Innovative care models for forced migrants Intercultural opening of mental health systems Key Projects: FOCUS: Forced displacement and refugee-host community solidarity TransVer: Network for intercultural opening of psychosocial care systems reWoven: Refugee women and psychosocial volunteer engagement SeGeMi: Study group on Mental Health and Migration Effectiveness studies on native-language counseling Professional Engagement: She develops training programs for clinicians working with refugees, provides supervision services, and coordinates Berlin-wide networks for refugee mental health care. Her work significantly contributes to professionalizing psychosocial support for asylum seekers through the 'Welcome Culture at Charité' initiative.
Johannes Zimmermann is Professor of Differential and Personality Psychology at the Institute of Psychology, University of Kassel, Germany. His work integrates personality science, psychopathology research, and advanced assessment methods, with particular expertise in dimensional models of personality disorders and the Hierarchical Taxonomy of Psychopathology (HiTOP). Education and Career Diploma in Psychology, University of Koblenz-Landau (2007) Doctorate, University of Heidelberg (2011) Post-doctoral fellow, German-Chilean Graduate School, Heidelberg University (2007–2010) Research Associate, University of Kassel (2010–2015) Professor for Methodology and Psychological Diagnostics, Berlin School of Psychology (2015–2018) Professor of Differential and Personality Psychology, University of Kassel (since 2018) Research Interests Prof. Zimmermann's research centers on personality assessment , psychopathology , and psychotherapy outcomes . He develops and validates instruments for measuring personality functioning and maladaptive traits, advances the Hierarchical Taxonomy of Psychopathology (HiTOP) framework, and employs ambulatory assessment to capture dynamic processes in daily life. Key themes include: Dimensional classification of personality disorders and psychopathology Ecological momentary assessment of affect and behavior Validation of German-language assessment tools (e.g., LPFS-BF, PID-5, HiTOP-SR) Long-term effectiveness of psychodynamic and cognitive-behavioral therapies Digital mental health and smartphone-based data collection Scientific Awards ISSPD Young Investigator Award (2019) – International Society for the Study of Personality Disorders SITAR Jerry Wiggins Student Award (2010) – Society for Interpersonal Theory and Research Advising & Collaborative Networks Prof. Zimmermann mentors doctoral and post-doctoral researchers through his roles in the German-speaking psychological community. He collaborates with international consortia including the HiTOP consortium, the PsyChange Network, and the London Personality and Mood Disorder Research Consortium, serving as principal investigator or co-investigator on projects funded by the German Research Foundation (DFG) and other bodies. Labs & Teams He leads the Differential Psychology Research Group at the University of Kassel, which focuses on measurement development, ambulatory assessment, and applied psychopathology research. The group maintains active collaborations with clinical centers across Germany and Europe for data collection and intervention studies.
Prof. Dr. Wolfgang Lutz is a Full Professor and Head of the Department of Clinical Psychology and Psychotherapy at the Faculty of Psychology, University of Trier, Germany. He also serves as Director of the Outpatient Clinic and Postgraduate Clinical Training. Additionally, he holds an Adjunct Professor position at the University of Western Australia and is a Fellow of the Association for Psychological Science (APS). Dr. Lutz's research focuses on advancing clinical psychology and psychotherapy through precision mental health care, treatment personalization, and feedback-informed psychological therapy. His work emphasizes using data-driven approaches to optimize treatment outcomes, with particular attention to depression, anxiety disorders, and PTSD. He has pioneered the development of the Trier Treatment Navigator (TTN), a system for feedback-informed treatment that helps match patients to the most effective therapeutic approaches. His recent publications reveal a strong emphasis on integrating technology and artificial intelligence into psychotherapy research and practice. This includes developing algorithms for personalized therapy, using large language models to analyze therapy sessions, and implementing routine outcome monitoring systems. His research shows how temporal dynamics in therapy processes affect outcomes and how clinical microskills can predict therapeutic alliance and success. Fellow of the Association for Psychological Science (APS) Editor of Psychotherapy Research He leads initiatives to develop a European Psychotherapy Consortium (EPoC) to standardize outcome measurement across countries and promote cooperation in psychotherapy research. His laboratory focuses on precision mental health care, developing tools for treatment personalization, and investigating the mechanisms of change in psychotherapy.
Sri Kurniawan is a researcher at the Computational Media Department within Baskin Engineering, University of California Santa Cruz . With a focus on Human-Computer Interaction , their work spans assistive technology , virtual reality applications , and accessibility design for aging populations and people with disabilities. Key research areas: Accessibility , Virtual Reality , Human-Computer Interaction Recent work explores immersive systems for emergency preparedness and Mixed Reality in biomedical visualization Publications from 2000-2025 demonstrate sustained engagement in mobile health and inclusive game design . Collaborations with institutions like University of Manchester and University of California systems highlight cross-continental research impact.
Prof. Dr. Ulrich Frank is a full Professor of Business Information Systems and Enterprise Modeling at the University of Duisburg-Essen, Faculty of Computer Science. He serves as Director of IS:link, an international student exchange network he founded. His academic career spans multiple prestigious institutions including University of Mannheim, GMD, IBM Almaden Research Center, University of Koblenz-Landau, and University of Duisburg-Essen since 2004. His educational background includes: Business Administration studies (minor in Applied Computer Science) at University of Cologne Doctorate in Political Science from University of Mannheim (1986) Habilitation at University of Marburg (1993) Prof. Frank's research focuses on multi-perspective enterprise modeling, with particular emphasis on object-oriented and multi-level modeling approaches. His work bridges business administration and computer science, exploring conceptual modeling, knowledge management systems, business process reorganization, and the theoretical foundations of business informatics. He has made significant contributions to modeling languages like FMMLx and XModelerML, advancing multi-level modeling techniques for enterprise information systems. His recent publications demonstrate a strong focus on multi-level modeling languages, with particular attention to UML extensions, language engineering, and the application of large language models in systems engineering. The research trajectory shows consistent development of modeling frameworks that support enterprise architecture, business process modeling, and domain-specific language design, with increasing attention to AI-assisted modeling approaches in recent years. Prof. Frank has received significant recognition through editorial positions at leading journals: Co-Editor of Enterprise Modelling and Information Systems Architectures Co-Editor of Business & Information Systems Engineering Co-Editor of Information Systems and E-Business Management Co-Editor of Software and Systems Modeling Member of the Standing Committee of the European Conference on Information Systems (ECIS) Prof. Frank has served in numerous academic leadership roles including as Chairman of the Examination Board for Business Information Systems, member of the Research Commission at University of Duisburg-Essen, and Appointment Commissioner (2021-2023). He has reviewed for major funding organizations including the German Research Foundation, Federal Ministry of Education and Research, and Swiss National Science Foundation. As founder and senior consultant of IS:link, Prof. Frank leads an international student exchange network connecting universities worldwide. His research group focuses on multi-perspective enterprise modeling (MEMO), developing frameworks and tools for business information systems design and implementation.
Irena Koprinska is a prominent researcher at the University of Sydney with over 150 publications from 1996 to 2025. Her work spans multiple interdisciplinary domains with significant contributions to machine learning applications in educational technology, time series forecasting, and health informatics. She maintains strong research collaborations, particularly with Kalina Yacef (38 joint publications), Mashud Rana (26 papers), and Bryn Jeffries (22 papers), indicating leadership in her research group. Her research interests focus on practical applications of machine learning across diverse domains. In educational data mining, she has pioneered methods for predicting student performance in programming courses, analyzing syntax errors, and developing automated hint generation systems. Her work in time series forecasting has made significant contributions to solar power prediction using advanced neural network architectures. Additionally, she has applied machine learning techniques to medical domains, particularly in sleep disorder detection and analysis. The analysis of her 15 most recent publications (2022-2025) reveals a continued focus on educational technology and time series analysis, with increasing attention to interpretable methods and health applications. Her work demonstrates a consistent trajectory of applying sophisticated machine learning techniques to solve real-world problems across multiple domains, with particular emphasis on creating practical tools for education and renewable energy management. Notable Research Contributions: Development of the HINTS framework for automated programming hint generation Innovative approaches to multistep-ahead time series forecasting Applications of deep learning to sleep disorder detection Methods for predicting student performance in programming education Her publication record in top venues including Machine Learning journal, AIED, EDM, and IJCNN demonstrates significant impact in both machine learning and educational technology communities. The consistent output of high-quality research over nearly three decades indicates sustained scholarly productivity and leadership in her fields of expertise.
Prof. Dr. Axel Mecklinger is a leading cognitive neuroscientist at Saarland University , specializing in the neurocognition of memory and language through spatiotemporal brain imaging (EEG/MEG/fMRI). His career spans over three decades, with significant contributions to understanding visual working memory , associative recognition , and memory development . Key research areas: Memory binding, ERP subsequent memory effects, novelty detection, and cognitive aging Major grants: DFG Research Groups, Collaborative Research Centers, and international collaborations with the Chinese Academy of Sciences Scientific leadership: Organized conferences, edited journals, and served as speaker for research training groups His recent work explores unitization in memory formation , cross-cultural differences in memory processing , and theta neurofeedback interventions . Awards include the Early Career Award of the German Psychophysiology Society (1992) and the European Federation of Psychophysiology Societies' Federation Prize (1994). Current projects investigate the neural mechanisms of semantic surprisal and memory plasticity in aging populations.
