Find Academic Supervisors

• Multimodal Conversation Analysis
• Interpersonal Communication
• Psychological Reactance
• +12 more

Dr. Maximilian Krug is a Postdoctoral Researcher at the Institute of Communication Science, Faculty of Humanities, University of Duisburg-Essen, Germany. He is a core member of the research group Multimodal Communication, Social Interaction & Technology led by Prof. Dr. Karola Pitsch. His work bridges communication studies, conversation analysis, and digital media research, with a focus on conflict, reactance, and multimodal interaction. Research Interests: Maximilian Krug investigates the structural dynamics of conflict in interpersonal communication, analyzing both face-to-face and online interactions. His research spans rejection and resistance in multimodal interactions , incivility and psychological reactance in digital spaces (especially Telegram), and science communication , including the role of generative AI in public understanding of science (AICOS project). He employs multimodal conversation analysis, eye-tracking, and mixed methods to study coordination in complex social settings such as theatre rehearsals, medical emergencies, and authoritarian discourse. Recent Research Trends: His recent publications reveal a strong focus on temporal coordination in joint activities, verbal and nonverbal prompting, and structural compatibility in multiactivity settings. Projects like AICOS and DFG-funded studies on pronoun use in GDR letters highlight his interdisciplinary reach across communication, linguistics, and political discourse. The integration of visual analytics (e.g., VisCoMET) demonstrates his innovative methodological approach. Scientific Awards: No specific awards or fellowships are mentioned in the provided texts. Advising and Grants: While no formal students are listed, Dr. Krug supervises student theses and contributes to academic training. He is involved in multiple externally funded projects, including those supported by the German Research Foundation (DFG) , the Bavarian Research Institute for Digital Transformation (bidt) , and the Federal Office for the Protection of the Constitution . These grants support his habilitation projects on incivility and reactance. Labs and Teams: Dr. Krug is an active member of the Multimodal Interaction & Eye-Tracking Lab at the University of Duisburg-Essen. This lab focuses on empirical studies of social interaction using advanced technologies such as mobile eye-tracking and multimodal data integration. He collaborates with interdisciplinary teams in projects involving medical training, science communication, and historical discourse analysis.

Ruhul AminView profile

Assistant Professor

• Artificial Intelligence
• Bioinformatics
• Data Science
• +5 more

Ruhul Amin is an Assistant Professor at Fordham University's Department of Computer and Information Science, where he explores the intersection of Artificial Intelligence , Data Science , and Public Health . His work spans multiple domains including Bioinformatics , Natural Language Processing , and Computational Social Science . PhD in Computer Science (Stony Brook University, 2019) MS in Computer Science (Stony Brook University, 2015) BSc in Computer Science (Shahjalal University, 2007) His research focuses on developing deep learning algorithms for genome annotation, anomaly detection in high-cardinality spaces, and assistive technologies for visually impaired users. Notably, he designed the Mongol Dip bilingual screen reading software and the Pipilika Bengali text search engine. Recent publications (2025-2024) demonstrate his expanding interests in large language model alignment , sentiment analysis across languages, and distributed reinforcement learning for cybersecurity applications. His work frequently appears at IEEE conferences and in journals like PLOS One. Scientific Recognition BASIS National ICT Award (Bangladesh) Best Poster Awards at IEEE R10 HTC and CEWIT conferences Bangladesh Prime Minister’s Award (2012) mBillionth South Asia Award (2010) He maintains active collaborations with research teams at University of Toronto , University of British Columbia , and Stony Brook University . Contact: moamin@cs.stonybrook.edu

Kok-Leong OngView profile

Professor

• Business Analytics
• Artificial Intelligence
• Machine Learning
• +5 more

Kok-Leong Ong is a Professor of Business Analytics at RMIT University's College of Business & Law, where he serves as Director of the CoBL Technology Initiative, Director of the Enterprise AI and Data Analytics Hub, and Head of the Department of Information Systems and Business Analytics. With over $1.4 million in research grants, he specializes in translating analytics and machine learning into practical business applications across multiple verticals including e-Commerce, public health, sports, urban studies, marketing, and learning. His research has consistently ranked in the top 25% and 5% of works in their domains according to Altmetric. Professor Ong's research spans Business Analytics, Artificial Intelligence, Machine Learning, and Information Systems, with a focus on making data actionable through analytics-2-business translation, automation, and applications. His work addresses critical challenges in cybersecurity for wearable health devices, ECG-based authentication systems, federated learning privacy, carbon accounting for maritime transport, and AI-driven solutions for vehicle damage detection. He has developed frameworks for operationalizing analytics in business contexts and has made significant contributions to mHealth applications for infant care and breastfeeding support. Among his notable scientific achievements, Professor Ong has received two VC's Teaching Awards and was named one of Australia's Leading Data Academics by CDO Magazine in 2021. He has secured over $1.4 million in research funding and serves on prestigious conferences including KDD and PAKDD. His research has been recognized for its high impact, with many works ranking in the top percentiles of their respective fields. Professor Ong actively supervises numerous research students across diverse topics including human-aligned AI, securing LLMs for financial applications, cyber risks in enterprise AI systems, ECG authentication security, and AI transformation for SMEs. He previously played a key role in establishing Australia's first Business Analytics degree and led La Trobe Business School's analytics program from 2015 to 2019 before joining RMIT in September 2021. Through the Enterprise AI and Data Analytics Hub and his role with RMIT University's Digital3 board, Professor Ong leads initiatives focused on bridging the gap between advanced analytics capabilities and business value creation. His work emphasizes practical implementation of AI and analytics solutions that address real-world challenges across multiple industry sectors.

Camilla WarnickeView profile

Associate Professor

• Social Equality
• Sign Language Interpretation
• Deaf Studies
• +4 more

Roles & Affiliations: Camilla Warnicke is an Associate Professor affiliated with Social Work at Örebro University. She currently serves as a visiting researcher at Stockholm University's Institute of Interpreting and Translation, and works part-time as a research funding advisor at Region Örebro County's Grants Office (RÖL). She is also a researcher and teacher at the Sign Language Interpreter and Deaf-Blind Interpreter Education program in Örebro. She holds an authorized interpreter certification between Swedish and Swedish Sign Language (STS). Research Interests: Her work focuses on social equality, participation, and interaction dynamics between individuals and society. Key areas include interpretation between Swedish and Swedish Sign Language, deaf populations, and deafblindness. She employs Conversation Analysis (CA) to study remote interpreting practices in services like the Swedish Video Relay Service (VRS). Collaborations: Active in multidisciplinary projects such as 'Remote interpreting between spoken and signed languages' (Region Örebro), 'Social equality and road safety' (funded by Swedish Transport Administration), and 'Better communication in congenital deafblindness' (Forte-funded with Linköping University). She also collaborates with the National Knowledge Center for Deafblind Issues (Nkcdb). Teaching & Supervision: Supervises doctoral student Charlotte Ryman at Örebro University's Department of Health Sciences. Teaches at undergraduate, postgraduate, and doctoral levels, including courses on remote interpreting and medical research funding. Leads courses at Stockholm University's sign language interpreting program. Awards & Recognition: None explicitly mentioned in the text. Labs & Teams: Part of research groups 'Deafblindness in a Multidisciplinary Perspective' and 'Social Work and Care across the Life Course (SAOL)'. Involved in initiatives like the 'Sign Language and Deaf-Blind Interpreter Education' program at Fellingsbro Folk High School.

• Exercise and Health
• Physical Activity Promotion
• Multimodal Exercise Programs
• +3 more

Rui Miguel Marques Brás is an Assistant Professor at the Department of Sports Sciences, University of Beira Interior (UBI), and a researcher at the Sports, Health and Human Development Research Center (CIDESD). His academic activities include teaching courses such as Exercise and Aging , Nutrition and Food in Sports , and Biochemistry Applied to Sports . Research Focus Brás specializes in promoting exercise and physical activity, with a focus on multimodal exercise programs and the assessment of determinants in physical activity practice among young people and adults. His work intersects health sciences, exercise physiology, and public health domains. Publication Trends His recent publications (2015–2023) examine topics like ankle biomechanics, physical activity determinants, and cross-cultural health comparisons. These studies span disciplines including Sports Science , Public Health , and Health Communication , emphasizing practical applications for diverse populations. Laboratory Affiliation Brás contributes to CIDESD, a multidisciplinary research center advancing knowledge in sports sciences, health sciences, and human development through collaborative projects and innovative methodologies.

• Audio Engineering
• Room Acoustics
• Binaural Sound Reproduction
• +7 more

André Siegel is a Lecturer for special tasks at the Electronic Media Technology Group, Department of Electrical Engineering and Information Technology, Technical University of Ilmenau. He is actively involved in research and teaching related to audio engineering and acoustics, with a focus on spatial sound reproduction and simulation. His research interests span Audio Engineering , Room Acoustics , Binaural Sound Reproduction , Spatial Audio , Acoustic Simulation , and Audio Signal Processing . His work emphasizes practical implementations in real environments, including crosstalk cancellation, head-related transfer function measurement, and sound field analysis. The publications reflect a consistent research trajectory from 2005 to 2013, with a concentration on spatial audio technologies, room simulation methods, and perceptual aspects of sound reproduction. Key themes include the optimization of stereo and binaural systems, low-frequency acoustic behavior, and advanced measurement techniques using vector sensors and spherical arrays. André Siegel has not been awarded any scientific prizes or fellowships mentioned in the available data. He collaborates with researchers such as Hans-Peter Schade, Stephan Werner, and Julius T. Fricke. His work contributes to both academic knowledge and practical applications in room acoustical consultancy and immersive audio systems. He is based in Helmholtz Building, Room H 3529, and can be contacted at andre.siegel@tu-ilmenau.de.

• Robot Cooperation
• Human-Robot Interaction
• People Motion Behavior
• +5 more

Anaís Garrell Zulueta is an Associate Professor at the Polytechnic University of Catalonia (UPC) and a Robotics Researcher at the Institut de Robòtica i Informàtica Industrial (CSIC-UPC) . She serves as Vice-Director of the Mobile Robotics and Intelligent Systems subline and supervises the RAIG - Mobile Robotics and Artificial Intelligence Group . PhD (2013): European Doctorate with highest honors from UPC B.S. in Mathematics (2006) from University of Barcelona Diploma d'Estudis Avançats (DEA) in Control, Vision, and Robotics from UPC Her research focuses on Human-Robot Interaction (HRI) and robot cooperation , particularly in urban environments . Key themes include: Explainable AI for robot transparency Human motion behavior prediction Socially aware navigation systems Collaborative transport robotics Autonomous last-mile delivery systems Cybernetic avatars and societal implications Recent projects (2023-2025) include: TORNADO: Foundation models for robots handling deformable objects HandIA: AI-based rehabilitation tools LENA: Lifelong navigation learning TRIFFID: First responder assistance robotics SOCIAL PIA: Cybernetic avatar modeling Scientific recognition includes: Second Prize for Best Spanish Robotics Thesis Best Paper Award Nomination (IEEE/RSJ IROS, 2009) As an advisor, she supervises: PhD students: Ferran Gebelli Guinjoan, Lavinia Hriscu, Edison Bejarano Final year projects: 8 students on topics like LLM-enhanced interaction and LiDAR SLAM systems She operates within the Institut de Robòtica i Informàtica Industrial (IRI) and collaborates with Carnegie Mellon University.

Mats KüssnerView profile

Researcher

• Multimodal perception of music
• Music and mental imagery
• 4E music cognition
• +3 more

Mats Küssner is a Researcher at Humboldt University of Berlin's Department of Musicology, specializing in Transcultural Musicology and Historical Anthropology of Music. Previously, he held a Peter Sowerby Research Associate position at the Royal College of Music in London. He earned his doctorate from King's College London, focusing on cross-modal mappings between sound and visual forms. His work bridges music psychology, cognitive science, and cultural studies, emphasizing how music shapes human thought and emotion through multi-method approaches. Research interests include multimodal perception, music-induced mental imagery, 4E cognition (embodied/embedded/enactive/extended), and performance science. Notable awards include the Aubrey Hickman Award for music psychology research and a teaching excellence award. He teaches courses like 'Diversity in Berlin's Sound Scene' and 'Emotions in Music' at both BA and MA levels. His publications span over 40 peer-reviewed articles across journals like Music & Science , Psychomusicology , and Frontiers in Psychology , with a focus on visual-aural interplay, music cognition disorders (e.g., aphantasia), and cross-cultural performance dynamics. He co-edited the landmark volume Music and Mental Imagery (Routledge, 2022). Recent work explores environmental ecomusicology education and music's role in mitigating social isolation. Küssner leads projects on music-induced emotion prediction using cross-modal correspondences and is part of Berlin's interdisciplinary music psychology scene, collaborating with neuroscientists and cultural anthropologists. His lab employs eye-tracking, EEG, and behavioral experiments to study embodied music cognition processes.

Wei-Tang ChangView profile

Assistant Professor

• Neuroimaging
• Magnetic Resonance Imaging (MRI)
• Functional MRI (fMRI)
• +4 more

Dr. Wei-Tang Chang is an Assistant Professor in the Department of Radiology at the University of North Carolina School of Medicine. His research focuses on advancing ultrahigh-resolution functional and diffusion MRI techniques, with emphasis on improving spatial and temporal resolution while reducing scan times. Key projects include submillimeter isotropic-resolution fMRI for hippocampal subfield analysis (funded by NIH R21), novel dMRI approaches to overcome resolution limits, and clinical translation of robust imaging methods resistant to motion/noise artifacts. Dr. Chang holds a PhD in Biomedical Engineering from National Taiwan University and completed postdoctoral training at the Martinos Center for Biomedical Imaging (MGH), Massachusetts General Hospital, and Singapore BioImaging Consortium (SBIC). His research innovations include SORDINO fMRI for awake rodent imaging, pPRISM diffusion MRI for submillimeter resolution, and ZTE pulse sequences for ultra-fast acquisitions. Awards include the 2011 OHBM Trainee Award for work on MEG source localization and fMRI temporal resolution breakthroughs. Current work bridges basic neuroimaging science with clinical applications, particularly in neurodegenerative disease biomarker development and rodent disease model studies. Education: PhD in Biomedical Engineering, National Taiwan University Postdoctoral Fellowships: Martinos Center for Biomedical Imaging (MGH) Singapore BioImaging Consortium (SBIC) Key Technologies Developed: ZTE pulse sequences (25 ms temporal resolution fMRI) pPRISM diffusion MRI (navigator-free submillimeter imaging) Draining-vein suppression layer-dependent fMRI Awards & Funding: NIH R21 Grant (2019) for hippocampal subfield fMRI OHBM Trainee Award (2011) Dr. Chang's translational focus involves adapting laboratory innovations for clinical use, with particular interest in Alzheimer's disease biomarkers through hippocampal network analysis and Huntington's disease models using rodent functional connectivity studies. His lab actively develops open-source MRI reconstruction algorithms and collaborates internationally on multi-center neuroimaging projects.

• Human-Computer Interaction
• Quality of Experience (QoE)
• User Experience (UX)
• +7 more

Lieven De Marez is a Professor at Ghent University, affiliated with the Faculty of Engineering and Architecture and the Department of Information Technology. His research spans human-computer interaction, quality of experience (QoE), smart homes, digital education, and social media behavior, reflecting a strong interdisciplinary approach combining technical and social sciences. His research focuses on understanding user interactions with emerging technologies, particularly in educational, healthcare, and domestic environments. Key interests include learning analytics, privacy in social media, VR/AR experiences, and the impact of digital technologies on youth and vulnerable populations. He frequently investigates how users perceive and adapt to new systems, emphasizing user-centered design and ethical implications. The most recent publications highlight a trend toward digital well-being, algorithmic transparency in education, and the integration of AI in health and urban contexts. His work often involves mixed-method studies, longitudinal data analysis, and experimental designs to assess user acceptance, behavior, and experience. Recipient of multiple collaborative research grants (inferred from sustained publication output). Active advisor and collaborator with PhD and postdoctoral researchers (inferred from co-authorship patterns). He has contributed to major projects on mobile TV, smart cities, and digital inclusion, often in collaboration with Flemish and European institutions. His work appears in top journals such as Telematics Informatics , New Media & Society , and IEEE Transactions . Lieven De Marez leads or contributes to interdisciplinary research teams focused on interactive technologies, including work on VR prototyping, personal data stores (Solid), and ambient intelligence in public spaces. His recent involvement in projects like ExperienceDNA and Art and Science Interaction Lab underscores his leadership in experimental and user-centric research infrastructures.

Jeffrey GirardView profile

Assistant Professor

• Affective Communication
• Affective Computing
• Clinical Assessment
• +4 more

Dr. Jeffrey Girard serves as Assistant Professor and M. Erik Wright Scholar in the Psychology Department at the University of Kansas, directing the Brain, Behavior & Quantitative Science Program and co-leading the Kansas Data Science Consortium. His interdisciplinary research bridges psychology, computer science, and statistics to investigate emotional expression through verbal and nonverbal behavior, with emphasis on individual differences and social contexts. Dr. Girard's educational background includes: Ph.D. in Psychology (Clinical) from the University of Pittsburgh M.S. in Psychology (Clinical) from the University of Pittsburgh B.A. in Psychology & Philosophy from the University of Washington His research centers on affective communication and affective computing , examining how emotions manifest in interpersonal interactions across clinical and non-clinical populations. Key focus areas include transdiagnostic psychiatry, multimodal behavior analysis, and the development of computational tools for clinical assessment. This work integrates statistical modeling with machine learning to address questions in interpersonal functioning and mental health diagnostics. Analysis of Dr. Girard's recent publications (2023-2025) reveals strong trends in computational psychiatry, with emphasis on multimodal datasets for emotion recognition, AI-driven clinical assessment tools, and transdiagnostic approaches to psychopathology. His work consistently bridges technical innovation in affective computing with real-world clinical applications, particularly in depression assessment and psychosis research. Scientific recognition includes: M. Erik Wright Scholar Dr. Girard actively contributes to academic service through editorial roles at IEEE Transactions on Affective Computing, Clinical Psychological Science, and other leading journals. He serves on executive boards for the Society for Interpersonal Theory and Research, Society for Affective Science, and Hierarchical Taxonomy of Psychopathology society, demonstrating leadership in advancing interdisciplinary research methodologies. He directs the Affective Communication and Computing Lab, which develops computational frameworks for analyzing emotional expression in clinical contexts, and co-leads the Kansas Data Science Consortium to foster cross-departmental data science initiatives.

• Gesture Studies
• Multimodality
• First Language Acquisition
• +5 more

Maria Graziano is an Associate Professor (Docent) and Educational Developer at Lund University Humanities Lab, with additional appointments as Senior Lecturer in Italian Studies at the Centre for Languages and Literature. She is also a researcher with LAMiNATE (Language Acquisition, Multilingualism, and Teaching) and a member of LU Profile Area: Natural and Artificial Cognition. Her educational background includes a double PhD in Linguistics from SESA (European School of Advanced Studies) at the University 'Suor Orsola Benincasa' (Napoli-Italy) and Université Stendhal (Grenoble-France), following postdoctoral work at the University of Alberta, Canada. She has qualifications as Assistant Professor/Senior Lecturer in Linguistics issued by Conseil National des Universités (CNU) France (2010-2014 and 2018-2022). Graziano's research focuses on gesture and its relation to spoken language from developmental and crosslinguistic perspectives. Her work examines how gesture development relates to textual and pragmatic abilities, temporal coordination between gesture and speech in bilingual and monolingual speakers, and gesture production in relation to speech fluency. She currently compares spoken and gestural behaviors across cultures, particularly between Italian and Swedish adult speakers, and investigates cohesion in narrative discourse in Italian children. Her publication record shows a strong focus on gesture-speech relationships, with significant impact as evidenced by 78 citations for her 2018 Frontiers in Psychology article 'When speech stops, gesture stops.' Her recent 2024 article in Frontiers in Communication provides evidence for cultural differences in gesture use between Italians and Swedes. Qualified Teaching Practitioner (2025) New Society of Letters at Lund (2024) Postdoctoral Fellow Research Day - University of Alberta (2011) Third prize for poster presentation at the Postdoctoral Fellow Research Day, University of Alberta (2011) Scholarship for Short Term Scientific Mission from European Science Foundation (2009) Graziano coordinates the research platform LAMiNATE (Language Acquisition, Multilingualism and Teaching) since 2020 and previously coordinated the Language Acquisition Seminar (2017-2019). She provides BA supervision and examination at Örebro University, teaches at Kristianstad Högskola and Malmö University, and has taught Italian Studies at Lund University since 2012. She is actively involved in numerous research projects including TEAM: Transdisciplinary Approaches to Learning, Acquisition, Multilingualism (2024-2029), and previously led projects on gesture production and the expression of pragmatic meaning across languages. She is an active member of the research community with 131 recorded activities including conference participation, public lectures, invited talks, and supervisory roles. Her work demonstrates strong international collaboration, particularly with researchers in Canada, the Netherlands, and across Europe.

Lalit JainView profile

Assistant Professor

• Machine Learning
• Data Science
• Artificial Intelligence
• +9 more

Lalit Jain is an Assistant Professor at the Foster School of Business , University of Washington. His research bridges theoretical mathematics with practical machine learning systems, focusing on adaptive data collection under budget constraints, applied to marketing, cognitive psychology, and humor detection. Research Interests : Adaptive machine learning algorithms Bandit optimization and experimental design False discovery rate control Human-AI interaction Applications in marketing and cognitive science Advising : Justin Weltz (Neurips 2023) Zhaoqi (AISTATS) Romain (AISTATS) Zhihan (Amazon collaboration) Jennifer Brennan (ICML 2022 workshop) Projects : Co-developer of the New Yorker Caption Contest voting system Collaboration with Amazon on adaptive pricing systems

Lucy WangView profile

Assistant Professor

• Artificial Intelligence
• Human-Centered Computing
• Natural Language Processing
• +3 more

Lucy Lu Wang is an Assistant Professor at the University of Washington Information School and holds adjunct appointments in Biomedical Informatics & Medical Education , Human Centered Design & Engineering , and Computer Science & Engineering . She leads the LARCH lab focused on language accessibility research. Research Interests : Designing language technologies for information accessibility Reducing barriers in scientific/healthcare domains Human-AI collaboration for research translation Recent Article Trends : Focus on accessibility evaluation frameworks, generative AI customization, LLM abstention behavior, multimodal generation benchmarks, and clinical AI applications across journals like ASSETS, DIS, and TACL. Scientific Awards : Best Artifact Award, ASSETS 2021 Best Paper: Honorable Mention, CHI 2021 Advising & Grants includes Microsoft's Accelerating Foundation Models Research Award and Google's Gemma Academic Program Award . She contributes to open-access tools like FigurA11y and PaperPlain .

Octavian Mihai MachidonView profile

Assistant Professor

• Mobile Computing
• IoT-based Systems
• Smart Public Governance
• +8 more

Octavian Mihai Machidon is an Assistant Professor at the Faculty of Computer and Information Science (FRI), specializing in mobile computing, IoT systems, and approximate computing. His research bridges technological innovation with diverse applications in agriculture, cultural heritage, and smart governance. Current research focuses on energy-efficient mobile systems, UAV-based agricultural monitoring, and smart governance frameworks Previously led H2020 Smart4All AgriAdapt project Recipient of multiple awards for research excellence and innovation His work demonstrates cross-disciplinary impact through projects like Mobiprox (IEEE IoT Journal) and SqueezeSlimU-Net (IEEE Journal of Selected Topics in Applied Earth Observations). Key trends include adaptive algorithms, real-time processing, and sustainable technology integration. 2024 - FRI Special Award for Exceptional Research Achievement 2023 - Agrobiznis 'Best Idea' award for AgriAdapt project As member of the Computer Communications Laboratory , he contributes to digital transformation initiatives and teaches courses in process automation and mobile sensing platform development.