جست‌وجوی استاد و پژوهشگر

Tobias Hallmenمشاهده پروفایل

پژوهشگر

• Multimodal Conversation Analysis
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Tobias Hallmen is a Researcher at the University of Augsburg 's Chair of Human-Centered Artificial Intelligence within the Faculty of Applied Computer Science . His work focuses on multimodal conversation analysis using machine learning and artificial intelligence in psychotherapy and medical/educational training contexts. Research interests include: Automated evaluation of conversational quality through multimodal data (audio, video, text) AI-based assessment systems for therapy sessions and parent-teacher interviews Development of real-time feedback mechanisms for skill improvement Integration of behavioral signal processing and empathy modeling Recent publications demonstrate expertise in vocal burst analysis , emotional mimicry prediction , and multimodal foundation models for behavioral annotation. Key technical domains: deep learning architectures , cross-modal data correlation , and computer vision applications . The Chair team under Prof. Dr. Elisabeth André currently includes 23 members with 10 projects active, including TherapAI (psychotherapy analysis) and KodiLL (medical training systems). Tobias Hallmen's work particularly addresses speaker classification , reception signal analysis , and remote physiological measurement techniques like video-based heart rate detection .

Christian López Bencosmeمشاهده پروفایل

استادیار

• Machine Learning
• Data Science
• Persuasive Technologies
• +۷ مورد دیگر

Christian López Bencosme is an Assistant Professor of Computer Science with an affiliation in Mechanical Engineering at Lafayette College. He holds a Ph.D. from the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering at the Pennsylvania State University and a Master of Science in Industrial and Systems Engineering from the Rochester Institute of Technology, NY. Prior to his academic career, he worked in both the Service and Manufacturing sectors. Dr. López's research focuses on the design and optimization of intelligent decision support systems and persuasive technologies to augment human proficiencies. His work integrates technologies and methods from science and engineering, particularly Machine Learning, Virtual Reality, and Gamification, to create systems that improve decision-making and task performance across education, business, health, and wellness domains. He has established several significant research projects including the Adaptable Game-based, Interactive Learning Environments for STEM Education (AGILE STEM), a Machine Learning and Gamification project for personalized-adaptive educational applications, and the VR CLICK Approach Project for improving spatial visualization skills. His scholarly work demonstrates consistent innovation in educational technology, with particular emphasis on developing machine learning algorithms that can personalize learning experiences and adapt pedagogical content to individual students' needs. His research on multilingual Twitter datasets related to the COVID-19 pandemic has generated significant scholarly interest, resulting in over 3 billion collected tweets and multiple publications analyzing global reactions to pandemic policies. Dr. López's work consistently bridges theoretical computer science with practical educational applications, creating systems that not only advance knowledge but also have immediate impact in classroom settings. Best Paper Award from Consortium for Computing Sciences in Colleges Regional Conference New IE Educator Outstanding Paper Award (awarded twice) ASME CIE Virtual Environments & Systems Best Paper Award Mid-Atlantic ASEE Committee Best Paper Award As an educator, Dr. López teaches courses including Introduction to Engineering: Design & Data Mining (ES 101), Introduction to Game Programming (CS 104), Introduction to Machine Learning (CS 414), and Principles of Data Science (DS 201). He has mentored numerous undergraduate students including Nathan Dinh, Alexa Gould, and Malolan Vasu on research projects related to gamification, machine learning, and virtual reality applications. His students have presented their collaborative work at major conferences including the ASME International Design Engineering Technical Conferences. Dr. López leads the VR/AR Community of Practice at Lafayette College, fostering interdisciplinary collaboration around virtual and augmented reality technologies. His research lab focuses on developing innovative educational applications that leverage machine learning algorithms to personalize learning experiences and improve student outcomes in STEM fields, with current projects including AI-driven educational game development and VR applications for spatial visualization training.

Mathias Brothمشاهده پروفایل

استاد

• Multimodal Interaction Analysis
• Human Communication
• Spoken Language Studies
• +۴ مورد دیگر

Professor Mathias Broth at Linköping University's Department of Culture and Society (IKOS) specializes in multimodal interaction analysis, examining how humans coordinate communication through speech, gestures, and environmental cues. His research spans interaction in traffic environments, preschool mobility practices, and language-culture dynamics. Develops multimodal interaction analysis methodologies Studies traffic interaction between autonomous vehicles and human drivers Investigates preschool children's participation in traffic safety practices Explores communication in driver training contexts Research trends focus on embodied communication, showing how people coordinate gaze, gesture, and verbal cues in real-time interactions across different environments including: Traffic situations with autonomous vehicles Preschool group movements Driver training instruction Human-robot interaction Media production scenarios Second language classrooms Broth contributes to the Language and Culture research environment while supervising PhD students in interaction studies.

Abe Karnikمشاهده پروفایل

مدرس ارشد

• Human-Computer Interaction (HCI)
• Display Technologies
• Prototyping
• +۴ مورد دیگر

Dr. Abe Karnik is a Senior Lecturer in Human-Computer Interaction (HCI) at the School of Computing and Communications (SCC), Lancaster University. He has been at Lancaster since 2013 and previously worked as an Assistant Systems Engineer at Tata Consultancy Services (2004-2009). His research focuses on hardware-centric prototyping of novel display technologies, including multi-view, organic, and stereoscopic systems. He integrates HCI principles into cross-disciplinary projects to enhance scientific research through digital technology. Education : Ph.D. in Computer Science, University of Bristol, UK B.E. in Instrumentation and Control Engineering, Nirma Institute of Technology, Gujarat University, India PG Cert. in Academic Practice, Lancaster University, UK Research Interests : Deformable displays, tangible interactibles, haptics, brain-computer interfaces, and volumetric displays. Current projects include 3D volumetric displays (EPSRC-IAA) and Sci-Seedlets (plant science education). Teaching : Module convener for undergraduate and postgraduate courses, co-teaching roles, and supervision of undergraduate and MSci dissertations. Active in international partnerships at Lancaster University Ghana, Sunway Malaysia, and BJTU China. Grants & Projects : MRC-P2D (MobiESense) and EPSRC-IAA (Volumetrics) AI:Lab (AI in Low Carbon Building, 2024-2025) Sci-Seedlets (plant science education initiatives, 2021-2023) Labs/Teams : Based at InfoLab21, involved in prototyping labs for interactive systems and display technologies.

• Cybersecurity
• Digital Forensics
• Cybercrime Investigation
• +۵ مورد دیگر

Professor Joe Carthy is a Full Professor at the School of Computer Science and Informatics, University College Dublin (UCD). He has served as Dean of Science at UCD since 2011, following roles as Head of the School of Computer Science and Informatics (2007–2011). With over 30 years at UCD, he holds a BSc and PhD in Computer Science and a Graduate Diploma in University Teaching and Learning. His research focuses on cybersecurity, digital forensics, and social media analysis, particularly investigating extremist online communities and cloud forensics. He has secured €5.4M in research funding and established the UCD Centre for Cybersecurity, collaborating with Europol, Interpol, and UNODC. Professor Carthy has supervised 14 PhD and 20 MSc students and contributed to education projects with €1.8M in funding. He chairs CyberSafeIreland and previously led Camara, a nonprofit distributing refurbished computers to schools globally. Education: BSc in Computer Science, UCD PhD in Computer Science, UCD HDip University Teaching & Learning, UCD Research Interests: Cybersecurity, digital forensics, social media analysis, incident analysis, lexical chaining, and news story segmentation. Professional Roles: Founding Director, UCD Centre for Cybersecurity Board Member, CyberSafeIreland Former Director/Chair, Camara Teaching: Coordinates modules on Information Security, Case Studies, and leadership/management courses. Labs/Teams: Leads the UCD Centre for Cybersecurity, fostering collaborations with law enforcement and international bodies. His 127+ publications span cybersecurity, digital forensics, and social media dynamics, with recent work addressing far-right activity on Telegram and algorithmic radicalization on YouTube. Grants and advisory roles highlight his impact on both academic and societal challenges.

• Human-Computer Interaction
• Affective Computing
• Virtual Reality
• +۹ مورد دیگر

Dr. Sergio Cervera Torres is a Researcher at the Institute for Science Education (IWM) within the University of Tübingen , affiliated with the Media Technology Department and the Multimodal Interaction Lab . His work focuses on Human-Computer Interaction (HCI), Affective Computing, and Virtual Reality, with a particular emphasis on Spatial Affective Interaction (SAI) frameworks. He holds a Ph.D. from the IWM (2017) and received the DFG Grant (2021) for his contributions to cognitive and affective sciences. Education: Ph.D. in Multimodal Interaction, IWM, University of Tübingen (2017) Research Interests: Embodied Cognition and Biometric Feedback Virtual Reality Applications in Healthcare and Education Cognitive Processes in Neurodevelopmental Disorders (e.g., Autism Spectrum Disorder) Affective Spatialization and User Experience Design Publications: His research spans affective computing, spatial valence associations, and clinical applications of VR. Recent work includes studies on emotion regulation, executive function assessment in schizophrenia, and human-robot interaction in healthcare. Awards: Recipient of the Deutsche Forschungsgemeinschaft (DFG) Grant (2021) for pioneering contributions to HCI and affective sciences. Grants/Advising: Led projects on biometric feedback in VR and contributed to eHealth technologies. No formal advisees listed, but collaborates extensively on interdisciplinary teams. Labs/Teams: Member of the Multimodal Interaction Working Group , focusing on the intersection of technology, cognition, and emotion.

Lucy Simkoمشاهده پروفایل

استادیار

• Computer Security
• Privacy Mechanisms
• Usable Security
• +۵ مورد دیگر

Lucy Simko is an Assistant Professor of Computer Science at Barnard College, Columbia University. She holds a PhD in Computer Science and Engineering from the University of Washington (2022), advised by Tadayoshi Kohno, and previously served as a postdoctoral researcher at George Washington University under Adam Aviv and Yasemin Acar. Research Focus: Simko's work centers on understanding how marginalized and under-served populations interact with computer security and privacy mechanisms. Her research combines qualitative methods to explore vulnerability through socio-ecological frameworks, including studies on geopolitical conflict, disaster response, and migration. She emphasizes actionable solutions that address systemic inequities in technology access and design. Teaching: Simko teaches advanced courses in usable security (e.g., Building Usable Security and Usable Security and Privacy ), focusing on hands-on design and ethical considerations. She actively mentors Barnard and Columbia undergraduate/masters students in research projects, prioritizing funded graduate students. Current Projects: Ongoing research includes studies on digital security among US immigrants, online proctoring evasion strategies, and privacy ecosystems in low-resource communities. She co-directs the Barnard Usable Security lab and collaborates with institutions globally to address security challenges faced by vulnerable groups. Grants & Funding: Her work is supported by projects like the NSF SaTC grant on privacy ecosystems for marginalized populations. She emphasizes interdisciplinary collaboration in her projects, often involving sociologists, policymakers, and community advocates.

• Human-Computer Interaction
• Affective Computing
• Multimodal Interaction
• +۴ مورد دیگر

Overview Gualtiero Volpe is a Professor affiliated with the Department of Informatics at the University of Genoa, Italy. His research focuses on Human-Computer Interaction (HCI), Affective Computing, and Multimodal Interaction, with particular emphasis on analyzing social interactions, embodied cognition, and expressive movement qualities in contexts such as music performance and education. He has collaborated extensively with researchers like Antonio Camurri, contributing to interdisciplinary projects that bridge computer science, cognitive science, and the arts. Research Interests Analysis of human movement and affect through computational methods Design of multimodal interactive systems for education and healthcare Investigation of laughter and social dynamics in human interactions Development of technologies for music performance and collaborative creativity Key Contributions Volpe's work spans over 140 publications in top-tier venues such as IEEE Transactions on Affective Computing, ACM Conference on Human Factors in Computing Systems (CHI), and International Conference on Multimodal Interaction (ICMI). His research has led to innovations in: Automated analysis of movement qualities using machine learning Sonification platforms for exergames and rehabilitation Embodied interaction frameworks for children's education Computational models of group cohesion and synchronization Recent Trends in Publications Recent studies emphasize the integration of cognitive science principles into movement analysis and the application of multimodal systems to address challenges in post-pandemic social interaction (e.g., digital commensality). His work on 'Embodied Multisensory Training' and 'Hybrid Co-Working in Industry 5.0' highlights a growing focus on real-world applications of HCI research. Awards & Grants No specific awards or grants are explicitly mentioned in the provided data, though his prolific publication record and leadership in collaborative projects suggest sustained academic recognition and funding support. Labs & Teams Volpe is part of the EyesWeb XMI research group at the University of Genoa, developing open-source platforms for real-time multimodal interaction analysis. He collaborates with institutions like the University of Trento and Goldsmiths, University of London on projects related to music technology and social robotics.

Carey Jewittمشاهده پروفایل

استاد

• Multimodal Analysis
• Digital Communication
• Educational Technology
• +۶ مورد دیگر

Professor Carey Jewitt is a leading academic in digital communication and multimodal interaction, holding a position at the UCL Knowledge Lab within the IOE - Faculty of Education and Society. Her work explores how digital technologies reshape touch, interaction, and learning. She leads the ERC-funded IN-TOUCH project investigating digital touch communication and previously directed the MODE project advancing multimodal research methods. Jewitt’s research spans education, healthcare, and industry, emphasizing interdisciplinary collaboration across computer science, sociology, and the arts. Key roles include Chair of UCL’s Collaborative Social Science Domain and Director of the UCL Knowledge Lab. She has authored foundational texts like Introducing Multimodality (2016) and secured prestigious grants from the ERC and ESRC. Her work bridges theory and practice, addressing societal impacts of digital touch in healthcare, education, and everyday life. Research interests focus on multimodal communication, digital touch, sensory ethnography, and educational technology. Notable outputs include studies on tactile emoticons, industrial robotics, and pandemic-era remote touch practices. She collaborates with engineers, designers, and artists to develop innovative methodologies, such as combining ethnography with haptic prototyping. Awards include the ERC Consolidator Grant and UK Research Council Academic Fellowship. Her lab’s work addresses ethical and design challenges in emerging touch technologies while advocating for inclusive, multimodal approaches to digital interaction.

Ivan Andonovicمشاهده پروفایل

استاد

• Broadband Networks
• Optical Networks
• Photonic Switching and Routing
• +۷ مورد دیگر

Professor Ivan Andonovic is a senior academic in the Department of Electronic and Electrical Engineering at the University of Strathclyde, Faculty of Engineering. He is a key member of the Centre for Dynamic Intelligent Communications (CIDCOM) and serves on the board of CENSIS, the Innovation Centre for Sensor and Imaging Systems. He has co-founded two technology companies: Kamelian Ltd. and Silent Herdsman Ltd., the latter focusing on animal health through wireless sensor platforms. His research interests include broadband networks, optical communications, photonic switching, wireless sensor networks, and precision livestock farming. These are supported by extensive project leadership and co-investigator roles in major UK-funded initiatives such as FLORA-SAGE, Digital Dairy Chain, and DEFGRID. His work bridges academic innovation with industrial application, contributing to UN Sustainable Development Goals in sustainable agriculture and industry. The recent publications highlight a strong trend in sensor-based systems applied across diverse domains: from animal tracking and agricultural monitoring to infant development and autism research. These works integrate computer vision, machine learning, and embedded sensor networks, reflecting a multidisciplinary approach grounded in electrical engineering and applied informatics. Finalist, Herald Higher Education Awards - Outstanding Business Engagement in Universities (2022) Innovate UK KTP Engineering Excellence Award (2021) Strathclyde Team Medal for Innovation in Autism (2018) Member, Optical Society of America (2001) Prof. Andonovic has secured over £10 million in research funding and has been a co-investigator on numerous projects involving industry collaboration and knowledge transfer. He has held a Royal Society Industrial Fellowship and has served as Technical Programme Co-Chair for IEEE ICC07 and Topical Editor for IEEE Transactions on Communications. He mentors junior researchers and collaborates widely across engineering, biomedical sciences, and agriculture. He is actively involved in innovation ecosystems through Silent Herdsman Ltd. and CENSIS, and leads research teams focusing on sensor integration, data analytics, and intelligent communication systems. His lab work emphasizes real-world deployment of wireless sensor networks in both healthcare and agri-tech domains.

• Clinical Neuropsychology
• Attention Deficit Hyperactivity Disorder
• Pediatric Neurology
• +۳ مورد دیگر

Kati Rantanen is a researcher at the School of Health Sciences, University of Eastern Finland, focusing on clinical neuropsychology and rehabilitation for children with attention deficit hyperactivity disorder (ADHD) and early-onset epilepsy. Her work bridges neuropsychological training with human-computer interaction, particularly gestural interfaces for children with attention deficits. University of Eastern Finland, School of Health Sciences Researcher in Clinical Neuropsychology and Rehabilitation Her research explores mid-air gestural interactions for ADHD children, embodied video games for impulse control, and academic outcomes in pediatric epilepsy. She has published extensively on these topics, often collaborating with multidisciplinary teams in Finland. Recent publications include studies on fogscreens for ADHD interventions, embodied games like PigScape, and cognitive peer-training frameworks. She has also contributed to neuropsychological rehabilitation literature and reviewed for journals like Epilepsy & Behavior.

Jürgen Pfefferمشاهده پروفایل

استاد

• Computational Social Science
• Social Media Analysis
• Network Science
• +۳ مورد دیگر

Prof. Dr. Jürgen Pfeffer is Full Professor of Computational Social Science at the School of Social Sciences and Technology, Technical University of Munich . Previously, he served as Assistant Research Professor of Societal Computing at Carnegie Mellon University (2012–2016). He studied computer science at Vienne University of Technology and received his Ph.D. in Business Informatics from a non-university institution in 2010. His research focuses on analyzing large-scale social, political, and economic systems through computational methods, bridging social and computer sciences. Key themes include social media network dynamics, algorithmic challenges in social data analysis, and ethical implications of digital platforms. Recent work examines Twitter API reliability , hate speech in TikTok , and LLM applications in education . He also investigates trauma modeling in genocide tribunals, decentralized platform dynamics (Mastodon), and political communication structures across countries. Current projects include tools for social network analysis, educational simulations, and ethical frameworks for AI in digital ecosystems. His methodology combines network science, machine learning, and mixed-method approaches to complex social systems.

• Human-Computer Interaction
• Augmented Reality
• Virtual Reality
• +۱۲ مورد دیگر

Enes Yigitbas is a researcher at the University of Paderborn, Germany, affiliated with the Department of Computer Science within the Faculty of Computer Science, Electrical Engineering and Mathematics. His research focuses on human-computer interaction, augmented and virtual reality, model-driven engineering, and self-adaptive user interfaces. Research Interests: Human-Computer Interaction (HCI) Augmented and Virtual Reality (AR/VR) Model-Driven Development Self-Adaptive and Context-Aware UIs Usability Evaluation Digital Twins End-User Development Gamification in Education Collaborative Software Modeling The recent publications (2024–2025) demonstrate a strong trend toward applying AR/VR in education, industrial training, healthcare, and software engineering. His work often integrates model-driven approaches with immersive technologies, focusing on usability, collaboration, and adaptation. He has contributed to frameworks for AR-assisted robot programming, VR training environments, and privacy-aware collaborative AR systems. Scientific Awards: No awards listed in the provided text. Advising and Grants: No explicit information about students or advisees. No direct mention of grants, but active research output suggests involvement in funded projects, likely within collaborative German or EU initiatives. Labs and Teams: Enes Yigitbas is part of a strong research group at the University of Paderborn, collaborating closely with Prof. Gregor Engels, Stefan Sauer, and others. His work is often associated with software engineering, modeling, and interactive systems research teams, contributing to tools like ProConAR and VREUD.

Michelle Brownمشاهده پروفایل

پژوهشگر

• DNA Repair Pathways
• Chemotherapy Resistance
• Ovarian Cancer
• +۵ مورد دیگر

Dr Michelle Wong-Brown is a Researcher at the University of Newcastle's School of Medicine and Public Health , affiliated with the Centre for Drug Repurposing and Medicines Research (CDRMR) and Hunter Medical Research Institute (HMRI) . Her work focuses on DNA repair pathways in chemoresistant cancers , particularly high-grade serous ovarian cancer , with emphasis on homologous recombination deficiency and drug repurposing strategies. PhD in Biomedical Sciences (University of Newcastle) HMRI Karen Brown Breast Cancer Travel Award recipient (2014) Active in clinical trial development for novel drug combinations Her research bridges genomic instability , epigenetic regulation , and translational oncology , with significant contributions to familial breast cancer genetic testing and ovarian cancer prognostic markers . Current projects include PARP-targeted therapies and immune checkpoint priming in resistant cancers. Scientific awards and grants include: NSW Regional Cancer Research Network Fellowship (2025) Australian Program for Drug Repurposing (MRFF $2.8M grant, 2020) Hunter Medical Research Institute grants (2014-2024) She supervises multiple PhD students in drug repurposing and cancer epigenetics , collaborating with international researchers across 14 countries.

Thomas Devogeleمشاهده پروفایل

استاد

• Geographic Information Systems
• Spatio-temporal data mining
• Moving object analysis
• +۳ مورد دیگر

Thomas Devogele is a Professor at the University of Tours, France, where he serves as Head of the Computer Science Department within the Faculty of Sciences and Technology. He is also Head of the Master 2 in IT and apprenticeships program and deputy director of LIFAT (Tours Fundamental and Applied Computer Science Laboratory). His academic career spans more than two decades, having previously served as an Assistant Professor at the French Naval Academy from 1998 to 2010. His primary research focuses on Geographic Information Systems (GIS), spatio-temporal data mining, and moving object analysis. Dr. Devogele's work specializes in trajectory data-mining, similarity measures between lines or trajectories using Fréchet distance, classification and outlier detection of trajectories, and spatio-temporal database integration. He currently leads research projects DOPAN and PERSONAE. His recent publications (2021-2025) demonstrate an expansion of his research into cycling infrastructure analysis, blockchain applications for business processes, personalized web service recommendations, and health data narratives (particularly tuberculosis in Gabon), while maintaining his core expertise in trajectory analysis and spatial data. His work bridges theoretical computer science with practical applications in transportation, public health, and urban planning. Dr. Devogele has supervised numerous PhD students who have gone on to successful academic and industry careers, including Fournier Sébastien (Assistant Professor at Université de Provence), Noyon Valérie (Leader of GIS department at the city of Niort), and Etienne Laurent (Assistant Professor at Tours University). His teaching responsibilities include Software Engineering, Object-Oriented Programming (Java), Geographic Information Systems, Artificial Intelligence, and Database courses for Computer Science students at the Blois campus. He has made significant contributions to the field through his extensive publication record spanning from 1996 to the present.