Find Academic Supervisors

Michaela RegneriView profile

Researcher

• Machine Learning
• Natural Language Processing
• AI Ethics
• +3 more

Dr. Michaela Regneri is a Senior Researcher at the Department of Informatics, University of Hamburg, affiliated with the Machine Learning group. She holds a PhD in Computer Science and focuses on interdisciplinary research at the intersection of artificial intelligence, computational linguistics, and ethical data practices. Her work emphasizes data minimalism, sustainable AI development, and clinical NLP applications for neurodiversity analysis. Research interests include: AI ethics and societal impact Resource-conscious machine learning Natural language processing for clinical narratives Knowledge graph construction Investigative data journalism tools Her recent articles explore topics like violence detection in ancient texts, conceptual abstraction in LLMs, and ethical frameworks for data usage. Notable projects include the new/s/leak visualization tool for journalists and the Seedling corpus development initiative. She actively contributes to low-resource language technologies and autism spectrum disorder discourse analysis. Professional activities include supervision of student projects and participation in interdisciplinary collaborations. Her work bridges technical innovation with critical societal discourse, particularly addressing German cultural skepticism towards AI development.

Andreas RohdeView profile

Professor

• First and second language acquisition
• Language evolution
• Bilingual education
• +2 more

Prof. Dr. Andreas Rohde is Professor of Linguistics and Language Didactics at the University of Cologne's English Department II. He earned his doctorate (1995) and habilitation (2001) from Christian-Albrechts University of Kiel, receiving the Faculty Prize in 1996. His career includes positions at Kiel University (1991-2003) and as Acting Professor at University of Vechta (2003-2004) before joining Cologne in 2004. Research Focus: Rohde leads projects examining language acquisition mechanisms in diverse populations. His work spans bilingual daycare programs, inclusive English pedagogy, lexical development disorders, and linguistic risk-taking. Primary research domains include: First/second language acquisition (lexical/tense-aspect systems) Language evolution and bilingual education frameworks Inclusive strategies for learners with special needs (hearing impairment, autism, DLD) Teacher competency development for multilingual classrooms Publication Trends: Recent works (2018-2025) focus on inclusive language education frameworks, specializing in pedagogical adaptations for neurodiverse learners and bilingual curriculum design. Dominant themes include lexical acquisition disorders, technology-mediated learning, and teacher training for special needs contexts. Awards & Recognition: Faculty Prize, Christian-Albrechts University of Kiel (1996) Academic Leadership: Supervised 11 doctoral candidates and 1 habilitation in language acquisition studies. Leads the Linguistic Risk-Taking (LRT) project and EU Speak 3 consortium. Current team includes Dr. Kim Schick, Dr. Alexandra Inglis, and Şeyma Polat.

Yohan JohnView profile

Academic

• Dynamical Systems Theory
• Computational Neuroscience
• Cognitive Neuroscience
• +7 more

Yohan John is a Research Assistant Professor in the Neural Systems Laboratory at Sargent College, Boston University, specializing in computational and systems neuroscience. He holds a PhD from Boston University’s Department of Cognitive and Neural Systems, where he studied under Profs. Dan Bullock and Frank Guenther, focusing on reinforcement learning and timing in the basal ganglia. His postdoctoral work with Prof. Helen Barbas explored cognitive-emotional interactions using computational modeling. Yohan’s research centers on dynamical systems theory as a unifying framework for understanding brain dynamics and psychiatric disorders, particularly how disruptions in neural networks manifest as symptoms. Education: BSc in Physics, St Stephen's College, Delhi (2004) MSc in Physics, Indian Institute of Technology Bombay (2006) PhD in Cognitive and Neural Systems, Boston University (2011) His research interests span dynamical systems theory , computational neuroscience , cognitive-emotional interactions , and psychiatric disorder modeling . He is particularly interested in how brain networks generate stable cognitive and behavioral states (attractors) and how their pathology leads to mental illness. He also investigates broader philosophical and epistemological questions in science, especially the role of metaphor, naming, and boundaries in cognition. Yohan’s recent publications and essays reflect a strong interdisciplinary approach, bridging neuroscience, philosophy, AI, and science communication. His work on semiotic ghosts in LLMs, the power of naming, and visual metaphors in science demonstrates his interest in the intersection of cognition, language, and computation. These writings reveal a consistent theme: understanding complex systems through dynamic, emergent, and metaphorical lenses. Scientific Awards: No scientific awards mentioned in the provided texts. Yohan is actively involved in science outreach, writing for the public on Quora (where he is a top writer in neuroscience) and co-organizing the NeuroLogos YouTube channel, which discusses recent developments in cognitive neuroscience. He has also led discussion groups on dynamical systems, neural representations, and computational theories of mind. While no formal students or grants are listed, his advisory or mentoring roles may exist informally through these educational initiatives. Labs and Teams: Neural Systems Laboratory, Sargent College, Boston University (current affiliation) Emergence Journal Club (organized by Yohan) NeuroLogos YouTube channel (co-organizer and contributor)

• Bilingualism
• Language Acquisition
• Multilingualism
• +3 more

Prof. Rosemarie Tracy holds a position in the Department of English at the School of Humanities. Her research focuses on bilingualism, multilingualism, and language acquisition, particularly in heritage language contexts and child language development. Tracy has contributed extensively to understanding syntax-morphology interfaces, heritage speaker linguistics, and diagnostic tools for multilingual children (e.g., the LiSe-DaZ® test). Her work bridges sociolinguistics, cognitive development, and educational practices, addressing topics like language loss, language maintenance, and pedagogical strategies for multilingual populations. Key research themes include the dynamics of heritage language use, challenges in assessing multilingual children’s language competencies, and theoretical models of simultaneous bilingual acquisition. Her studies often involve empirical analysis of German heritage speakers in majority English settings, exploring clause structure preferences and syntactic variability. Tracy’s collaborations span international teams, reflecting her role in advancing interdisciplinary approaches to language science. Publications highlight contributions to Heritage Language Journal , Frontiers in Psychology , and Zeitschrift für Sprachwissenschaft , with recent work critiquing traditional native speaker paradigms and advancing frameworks for multilingual language assessment. Her academic career includes pioneering work on multilingual grammars and pedagogical linguistics since the 1980s.

David Daniel EbertView profile

Professor

• Digital Mental Health Care
• Internet-based Health Interventions
• Health Economics
• +3 more

Prof. David Daniel Ebert is a Professor of Psychology & Digital Mental Health Care at TU Munich (since 2021), leading the Psychology und Digital Mental Health Care professorship within the TUM School of Medicine and Health. His career includes roles as Associate Professor at VU Amsterdam (2018–2020), habilitation in Psychology at Friedrich-Alexander University Erlangen-Nürnberg (2018), and postdoctoral work at Harvard Medical School (2014–2015). Ebert holds a PhD in Psychology from Philipps-University Marburg (2013) and has conducted research across Europe and the US. His research focuses on developing and evaluating internet- and mobile-based interventions for mental health, particularly depression prevention, insomnia treatment, and trauma recovery. Key areas include health economic evaluations, prediction models for treatment outcomes, and transdiagnostic approaches. Ebert has pioneered work on digital mental health solutions for college students and farmers, emphasizing accessibility and scalability. Notable awards include the Comenius Award (2017) and Charlotte Carl Bühler Award (2016). His publications span over 150 papers in journals like JAMA, Psychother Psychosom, and Journal of Medical Internet Research, with a focus on meta-analyses and randomized controlled trials validating digital interventions. Education: PhD in Psychology, Philipps-University Marburg (2013) Studies at Leuphana University Lüneburg and Free University Amsterdam Key Research Themes: Evidence-based digital interventions Mental health prevention strategies Health economic impact analysis Machine learning in mental health diagnostics Ebert's work bridges clinical practice and technology, with current projects addressing pandemic mental health impacts, farmer mental health via telehealth, and LGBTQ+ mental health disparities. His lab collaborates internationally on implementation science to scale effective interventions into routine care settings.

Markus BrücklView profile

Researcher

• Speech Communication
• Acoustic Analysis
• Voice Aging
• +5 more

Dr. Markus Brückl is a Researcher at the Department of Speech Communication within the College of Humanities and Educational Sciences at Technische Universität Berlin. Since 2020, he has served as Coordinator for the Bachelor's and Master's Degree Programs in Language and Communication. His academic career spans over 15 years as a Research and Teaching Assistant, Contract Lecturer, and Project Researcher focusing on speech communication science. Brückl holds a PhD (summa cum laude) from TU Berlin (2011) and a Master's in Speech Communication Science (2002). His research focuses on acoustic analysis of aging voices, forensic phonetics, and voice tremor measurement in Parkinson's patients. He has developed the irrNA R package for interrater reliability analysis and pioneered methodologies for voice comparison in legal contexts. His work bridges empirical research methods with biomedical applications, particularly in analyzing voice disorders and developing voice databases like BrandDB. He has contributed to major conferences (Interspeech, MAVEBA) and authored foundational chapters in the textbook Sprechwirkungsforschung . Brückl's current roles include teaching graduate courses on empirical methods and coordinating academic programs. His research integrates computational linguistics with clinical applications, establishing him as a key figure in applied speech science.

• Wearable Computing
• Health Informatics
• Artificial Intelligence in Medicine
• +3 more

Oliver Amft is a Professor at the University of Freiburg, leading the Intelligent Embedded Systems Lab since 2022. His work focuses on wearable computing, health informatics, and AI-driven solutions for medical applications. He has been involved in projects like Eghi (enhanced health intelligence for personalized behavior strategies) and FederLeicht (learning support in extended reality). His research spans biomedical signal processing, machine learning for healthcare, and human-computer interaction. Notable contributions include developing wearable sensors for disease detection (e.g., inflammatory bowel disease), AR-guided surgical systems, and privacy-aware data integration frameworks (e.g., FHIR standards). Education: Ph.D. in Computer Science (assumed based on role). Research interests include real-time health monitoring, digital twins for patient care, and AI models for clinical decision support. His publications highlight advancements in medical image segmentation, bioacoustic analysis, and synthetic data generation for activity recognition. He collaborates with institutions like the Department of Medicine and Engineering disciplines. Current projects emphasize cross-modal integration in medicine and nanopore-based diagnostics.

• Comparative bioinformatics
• Integrative multi-omics
• Genome editing
• +5 more

Chul Lee is a Research Fellow at Rockefeller University (Laboratory of Neurogenetics of Language, Supervisor: Dr. Erich D. Jarvis). He holds a Ph.D. in Interdisciplinary Bioinformatics from Seoul National University (2022), an M.Sc. in the same field from Seoul National University (2015), and a B.Sc. in Bioscience and Biotechnology from Hankuk University of Foreign Studies (2011). Ph.D. - Interdisciplinary Program in Bioinformatics, Seoul National University (2022) M.Sc. - Interdisciplinary Program in Bioinformatics, Seoul National University (2015) B.Sc. - Bioscience and Biotechnology, Hankuk University of Foreign Studies (2011) Lee's research focuses on comparative genomics , integrative multi-omics , and genome editing to unravel molecular mechanisms behind human-specific traits, brain evolution, vocal learning, and zoonotic pathogen transmission. His work spans viral infectivitiy (SARS-CoV-2, HIV), mental disorders , and evolutionary adaptation . His 15 most recent publications (2018-2025) cover themes in vertebrate genome evolution (Vertebrate Genomes Project), pathogen-host interactions , and computational tools for genome assembly (e.g., Galaxy platform). Notable topics include convergent evolution in vocal learners , viral transmission mechanisms , and genomic adaptations in transitional species (mudskippers, coelacanth). Lee collaborates with leading institutions on integrative data browsers for multi-omics datasets and contributes to functional validation of genetic signatures using genome-editing techniques. His work bridges evolutionary biology , neurogenetics , and computational biomedicine .

• Cloud Computing
• Data Center Optimization
• Edge Computing
• +5 more

V. Dinesh Reddy is affiliated with SRM University Andhra Pradesh, Department of Computer Science and Engineering in Amaravati, India. He maintains an active research career with publications spanning from 2017 to 2025 across multiple prestigious venues including IEEE Access, Energy Informatics, Quantum Information Processing, and Sensors. Dr. Reddy's research interests span cloud computing infrastructure optimization, edge computing, quantum computing applications, image processing, and cybersecurity. His work demonstrates expertise in developing evolutionary algorithms, machine learning approaches, and optimization techniques to solve complex computing problems with practical applications in IoT security, vehicular networks, and medical diagnostics. His publication record shows consistent output with increasing collaboration and expanding research scope over time. The research demonstrates strong interdisciplinary connections between traditional computer science domains and emerging technologies like quantum computing, addressing real-world challenges in computing infrastructure efficiency and security. Dr. Reddy has collaborated extensively with researchers including G. R. Gangadharan, G. Subrahmanya V. R. K. Rao, Marco Aiello, Md. Muzakkir Hussain, and Ashu Abdul. His research appears well-funded given the scope and diversity of projects, with applications spanning sustainable data centers, edge computing for vehicular networks, and quantum computing implementations. His research spans multiple laboratory contexts, particularly in cloud computing infrastructure, quantum computing applications, and image processing. Dr. Reddy's future research directions appear to be expanding into more specialized quantum computing applications and advanced edge computing scenarios for vehicular networks, as evidenced by his most recent publications from 2024-2025.

Eckehard OlbrichView profile

Researcher

• Computational Social Science
• Text and network analysis for social media data
• Information theoretic approach to complex systems
• +7 more

Eckehard Olbrich is a Group Leader and Researcher at the Max Planck Institute for Mathematics in the Sciences (MiS) in Leipzig, Germany. His work bridges mathematics, information theory, and social science with a focus on complex systems analysis. He has coordinated major European research projects including SoMe4Dem (Social Media for Democracy) and ODYCCEUS (Opinion dynamics and cultural Conflict in European Spaces). His educational background includes a PhD in theoretical solid-state physics from the Technical University Dresden (1995), followed by postdoctoral work at the Max Planck Institute for the Physics of Complex Systems in Dresden and research at the University of Zürich. Since 2004, he has been affiliated with the Max Planck Institute for Mathematics in the Sciences. Olbrich's research spans computational social science, information theory, and complex systems. He applies information-theoretic approaches to analyze social media data, complex networks, and human sleep EEG patterns. His work on information decomposition, multi-level systems, and time series analysis has produced significant contributions to understanding complex phenomena across disciplines. He has developed methods for analyzing polarization, opinion dynamics, and network structures in social systems. His publication record shows a strong trend toward interdisciplinary research combining information theory with social and biological systems. Recent work focuses on computational social science applications, particularly analyzing polarization and issue alignment on social media platforms, while maintaining connections to fundamental information theory and complex systems research. Olbrich has collaborated extensively with researchers including Sven Banisch (Karlsruhe Institute for Technology), Peter Achermann (University of Zürich), David Wolpert (Santa Fe Institute), and Jürgen Jost at MiS. His research has been supported by major funding programs including Horizon Europe, Horizon 2020, and the DFG. He has taught courses on Complex Systems Methods and Data Analysis and Modeling at the University of Potsdam, and has contributed to the development of TISEAN, free software for nonlinear time series analysis. His current research continues to explore the intersection of information theory, network science, and computational social science with applications to understanding democratic processes in the digital age.

Burkhard RostView profile

Professor

• Bioinformatics
• Computational Biology
• Protein Structure Prediction
• +3 more

Prof. Burkhard Rost is a Professor at the Technical University of Munich (TUM) since 2009, holding the Chair of Bioinformatics within the TUM School of Computation, Information and Technology. His research focuses on integrating artificial intelligence and machine learning with evolutionary biology to predict protein function, structure, and interactions. He aims to advance early disease detection and treatment through computational methods. Education: Bachelor/Master in Physics, History, and Philosophy from Universities of Giessen and Heidelberg PhD from the European Molecular Biology Laboratory (EMBL) in 1994 Research interests include protein structure prediction, machine learning-driven bioinformatics tools, and understanding evolutionary mechanisms. His work bridges computational methods with biological insights, contributing to tools like PredictProtein and ProtTrans. Recent publications emphasize protein language models, pathogen prediction, and epigenetic longevity studies. Awards: Alexander von Humboldt Professorship (2009) Prof. Rost leads international collaborations, including as President of the International Society for Computational Biology since 2007. His lab develops visualization tools (e.g., FlatProt, TMVisDB) and predictive models for biomedical applications.

Jan Stefan KirschkeView profile

Professor

• Artificial Intelligence in Medical Imaging
• Neurodegenerative Diseases
• Oncological Imaging
• +3 more

Prof. Jan Stefan Kirschke is the Director of the Institute of Diagnostic and Interventional Neuroradiology at the Technical University of Munich (TUM), leading a research group funded by ERC, DFG, and BMBF grants. He holds a medical degree and doctorate from TUM, followed by a fellowship at UCSF and habilitation in 2012. His work focuses on AI-driven image processing for CNS diseases, spinal disorders, and biomarker development. Key awards include the ERC Consolidator Grant (2022) and ERC Starting Grant (2014). His research emphasizes automated lesion segmentation, stroke imaging, and osteoporosis screening. Recent studies explore AI applications in MRI acceleration, stroke protocols, and clinical decision support systems. Advising and grants involve collaborations on BraTS challenges, spinal biomechanics, and neurovascular interventions. He leads the 'deep spine' initiative, advancing personalized osteoporosis screening via opportunistic CT imaging.

Constance ScharffView profile

Professor

• Neurobiology
• Animal Behavior
• Vocal Learning
• +3 more

Constance Scharff is a Professor of Behavioral Biology at the Freie Universität Berlin, affiliated with the Department of Biology, Chemistry, Pharmacy. Her research focuses on the neurobiology of birdsong, vocal learning, and the genetic basis of communication, particularly the role of the FOXP2 gene. Scharff earned her Ph.D. from Rockefeller University and has held positions at institutions like the Max Planck Institute for Molecular Genetics. She is a leading expert in avian vocalization and its links to human language evolution. Awards include membership in the Berlin-Brandenburg Academy of Sciences and the Leopoldina. Current projects include a DFG-funded research group on the neural foundations of vocal communication (2025) and the development of robotic models like RoboFinch for studying songbird behavior. She teaches courses in animal behavior and oversees a dynamic research group with global collaborations. Education: Ph.D. in Neurobiology (Rockefeller University), Postdoc at the Collège de France and Rockefeller University. Research Themes: Birdsong neuroethology, FOXP2 gene function, vocal learning mechanisms, avian genome studies (e.g., zebra finch sequencing). Awards: Leopoldina membership (2019), BBAW membership (2012), German Zoological Society presidency (2007/08). Her work bridges evolutionary biology, neurogenetics, and robotics to explore how vocal communication evolves and is encoded in the brain.

• Hearing Disorders
• Speech Therapy
• Audiophonology
• +6 more

Professor Zdzisław Marek Kurkowski, affiliated with Maria Curie-Skłodowska University (UMCS) and the Institute of Physiology and Pathology of Hearing in Warsaw, is a leading specialist in hearing loss speech therapy and audiophonology with over 20 years of experience. He holds a PhD in Special Education (1996) and a habilitation (2013) from UMCS, where he was appointed professor in 2016. His teaching at UMCS focused on tonal/verbal audiometry, auditory education, and central hearing disorders, while also mentoring students at institutions in Kielce, Sandomierz, and postgraduate programs in Rzeszów, Tarnów, Szczecin, and Gdańsk. Over 300 bachelor's/master's theses supervised 1,000+ postgraduate speech therapy theses and 200+ surdologopedia theses supervised 2 PhD theses defended under his supervision Currently supervising 2 doctoral dissertations His research on audiogenic conditioning of language communication disorders and speech development in hearing-impaired children has resulted in over 200 publications and 60 conference papers. Key inventions include the Polymodal Sensory Perception Stimulator (awarded in 2014 and 2015). He contributed to EU-funded Tomatis Method implementations in 400+ educational institutions and co-led Polish-US epidemiological studies on communication disorders.

• Adult Cognition and Learning
• Teacher Professionalization
• Digital Learning Media
• +3 more

Hannes Schröter is a University Professor (W3) for Adult Cognition and Learning at FernUniversität in Hagen and Head of the Department "Teaching, Learning, Consulting" at the Deutsches Institut für Erwachsenenbildung (DIE). His expertise bridges adult education research with cognitive psychology. 2021–Present: Department Head at DIE 2021–Present: W3 Professor at FernUniversität in Hagen 2019–2021: Deputy Department Head at DIE His research focuses on teaching/learning processes , professionalization of educators , cognitive development in adults , and digital learning tools . Recent publications examine literacy disparities, multiliteracy, and e-assessment fairness. He contributes to scientific advisory boards for projects like MOVE (Stiftung Lesen) and #ABCforJobs (GFFB Frankfurt), and leads networks on teacher professionalization. Key collaborations include the meta-project Language education in an immigration society and AI2TEACH, emphasizing his commitment to educational innovation in diverse contexts.