جست‌وجوی استاد و پژوهشگر

Aishik Mandalمشاهده پروفایل

پژوهشگر

• Dialogue Systems
• Multimodality
• Privacy
• +۲ مورد دیگر

Aishik Mandal is an ELLIS PhD student at UKP Lab, Technical University of Darmstadt, supervised by Prof. Iryna Gurevych and co-supervised by Prof. Aurélien Bellet. He completed his Master's in Artificial Intelligence, Machine Learning and Applications and Bachelor's in Electronics and Electrical Communication Engineering at IIT Kharagpur, where he received the Silver Medal for best academic performance in his department. His research focuses on Dialogue Systems, Multimodality, and Privacy , with significant contributions to mental health AI applications, depression detection, and culturally diverse multilingual visual question answering. His work combines advanced machine learning techniques with practical applications for healthcare and human-computer interaction. Mandal's research output shows a clear progression from foundational work in dialogue understanding and representation learning to more specialized applications in mental health and privacy-aware AI systems. His recent publications demonstrate expertise in multimodal fusion techniques, ordinal classification for depression severity prediction, and developing culturally sensitive AI benchmarks. Silver Medal from Electronics and Electrical Communication Engineering department at IIT Kharagpur DAAD WISE scholarship for internship at TU Munich Charpak Lab scholarship for internship at INRIA Paris GKF International Internship scholarship for INRIA Paris Mandal has been actively involved in research collaborations across multiple institutions, including IIT Kharagpur's Centre of Excellence in AI, Complex Network Research Group, Technical University of Munich, and INRIA Paris. His academic journey shows a strong foundation in both theoretical computer science and practical AI applications, with increasing specialization in multimodal dialogue systems and privacy-conscious AI development.

• Computational Display
• Virtual Reality
• Augmented Reality
• +۸ مورد دیگر

Bin Chen is a Lecturer at the School of Computing and Information Systems, University of Melbourne, where he conducts research at the intersection of computer graphics, computational imaging, and human perception. He was previously a postdoctoral researcher at the Max-Planck-Institut für Informatik and a visiting scholar at the University of Cambridge. Research Interests: His work spans Computational Display , focusing on glass-free 3D and VR/AR systems; Perception , studying how humans perceive virtual materials and gloss; and Computational Imaging , developing AI-driven methods for HDR, deblurring, and depth synthesis. He uses both optical hardware and software rendering to enhance visual fidelity. Recent Research Trends: His recent publications emphasize deep learning for image restoration (e.g., deblurring, tone mapping), neural representations for image stacks, and perceptual validation of material rendering. The integration of light field displays and self-supervised learning is a key theme across his recent work. Scientific Awards: CVPR Best Paper Award Finalist (Top 0.4%) – 2022 Service and Mentoring: Bin Chen has served on the Technical Paper Committees for SIGGRAPH, SIGGRAPH Asia, CVPR, and AAAI. He actively mentors PhD students and invites self-motivated candidates to join his research group. He has advised students such as Tao Huang, Lingyan Ruan, Chao Wang, and Jizhou Li. Laboratory and Teams: While no formal lab name is specified, his research group at the University of Melbourne focuses on visual computing, with strong collaborations extending from City University of Hong Kong to Max-Planck-Institut and the University of Cambridge.

• Virtual Reality
• Haptic Technology
• Interaction Design
• +۳ مورد دیگر

Rolf Nordahl is an Associate Professor at Aalborg University, affiliated with the Department of Architecture, Design and Media Technology within The Technical Faculty of IT and Design. His primary research interests include Virtual Reality (VR), Haptic Technology, Interaction Design, and Sonic Interaction Design, with applications in education and healthcare. Nordahl is actively involved in several projects, including: Audio-haptics: Exploring audio-haptic feedback systems. GAMESS: Developing VR interventions for children with autism to improve social skills. DREAM: Digitally reworking electroacoustic music. Natural Interactive Walking: Investigating haptic and auditory modalities for virtual locomotion. He has been recognized with awards such as the 2015 Winner of the 3D User Interfaces contest and a 2014 Honorable Mention for Best Paper. Nordahl’s recent research focuses on practical applications, including pain distraction for children through VR and audio-haptic soundscapes, as well as immersive geometry environments for mathematics education. Academic service includes: Chairman of the Study Board for Media Technology (2010–2016). Membership in review committees for Eurohaptics and IEEE VR workshops. Organizer of the 3rd IEEE VR Workshop on Sonic Interactions (2017). His work has been featured in media discussions on VR’s role in education and healthcare, including projects like VR environments for children’s wellbeing and participatory design approaches. Nordahl leads the Multisensory Experience Laboratory, advancing immersive technologies for diverse applications.

Stephen Kobourovمشاهده پروفایل

استاد

• Algorithm Design
• Computational Geometry
• Graph Drawing
• +۳ مورد دیگر

Prof. Stephen Kobourov is a Professor in the TUM School of Computation, Information and Technology at Technische Universität München (TUM). Previously, he held positions at the University of Arizona from 2000 to 2024, progressing from Assistant Professor to Full Professor, and served as Deputy Director of the Data Science Institute. His expertise lies in algorithm design, computational geometry, and graph visualization, with over 250 publications and significant funding from NSF, ONR, and USDA grants. Education: BS in Computer Science and Mathematics from Dartmouth College (1995), PhD in Computer Science from Johns Hopkins University (2000). Research focuses on efficient algorithms for graph drawing, visualization techniques for networks, and geometric algorithms. Notable contributions include work on stress metrics in graph layouts, hypergraph representations, and non-Euclidean visualization frameworks. He has co-chaired committees for ALENEX, IEEE PacificVis, and GD, and serves as an editor for JGAA, CGTA, and IEEE TVCG. Awards include the Fulbright Distinguished Chair (2015–2016), Humboldt Research Fellowship (2011–2014), and NSF Career Award (2006–2011). His recent work explores multi-layer network visualization, AI-driven graph analysis (e.g., MLLMs perception), and graph embeddings in non-Euclidean spaces. Advising and grants: Extensive grants from NSF and other agencies support his research. He has advised numerous students and collaborates internationally, contributing to labs like the Data Science Institute and initiatives such as the Institutional Knowledge Map (KMAP). Visualization projects include MetroSets (metro map-style set visualization), Wooly Graphs (knitting pattern frameworks), and tools for interactive network analysis. His work bridges theoretical algorithms with practical applications in science and technology.

• Clothing Technology
• CAD Pattern Construction
• Technical Textiles Manufacturing
• +۳ مورد دیگر

Prof. Katerina Rose is a Professor of Clothing Technology & CAD at Reutlingen University's TEXOVERSUM School of Textiles. She leads the Department of Clothing Technology and CAD, focusing on innovative textile design methodologies. Her expertise includes 3D pattern construction, technical textiles manufacturing, and AI-driven garment design. Her research emphasizes digital avatars for clothing simulation, low-cost 3D scanning technologies, and soft tissue modeling. Notable projects include the InBiO initiative for bio-based automotive interiors and the FLAX365 regional textile chain initiative. She holds a patent (DE102020119338A1) for patternless garment cutting methods. Teaching areas: Clothing Technology, CAD Pattern Construction, Technical Textiles Manufacturing Labs: Sewing & CAD Lab, Material Testing Lab, Electronic Textiles Lab Key collaborations: Hometrica Consulting, SciTePress, Browzwear Recent work explores microwave imaging for body dimension capture and AI-enhanced pattern generation, published in journals like Communications in Development and Assembling of Textile Products. Her contributions bridge textile engineering with digital innovation in fashion and medical applications.

• Information Science
• Humanitarian Research
• Crisis Informatics
• +۳ مورد دیگر

Prof. Dr. Karen E. Fisher is a Visiting Professor of Information Science at the University of Siegen, Germany, with additional roles as Professor at the University of Washington, USA, and Adjunct Professor at Abo Akademi University, Finland. Her research focuses on information behavior in crisis contexts, particularly the Syrian War, and involves collaborations with UNHCR, MENA experts, and tech companies like Facebook and Amazon. She leads fieldwork in Jordan and Lebanon, addressing socio-technical challenges in health, education, and entrepreneurship among refugees. Notable contributions include a co-designed cookbook preserving Syrian cultural heritage and frameworks for humanitarian research ethics. Awards include the 2018 Facebook Award for crisis informatics work. Dr. Fisher holds a PhD in Information Science from the University of Western Ontario and has conducted postdoctoral research at the University of Michigan. Education: Bachelor's in English and Russian, Memorial University of Newfoundland MLIS, PhD in Information Science, University of Western Ontario Postdoc Fellowship, University of Michigan Research Interests: Dr. Fisher examines innovation, resilience, and information systems in displacement contexts. Her work integrates ethnography, design methods, and quantitative analysis to understand how marginalized communities adapt to crises. Key areas include refugee information ecosystems, digital privacy in conflict zones, and leveraging technology for humanitarian aid. She emphasizes participatory approaches, collaborating with refugees as co-researchers and co-designers. Grants & Projects: Funded by IMLS to study PTSD among US library staff and trauma-informed care strategies UNHCR missions focus on technological innovations for Syrian refugees' health, education, and livelihoods Partnerships with the LEGO Foundation and Gates Foundation on refugee education and digital tools Awards: 2018 Facebook Award for Crisis Informatics Research Labs & Collaborations: Embedded in UNHCR Jordan since 2015, she co-leads the Za'atari Camp library network and collaborates with multidisciplinary teams in computer science, public health, and political science. Active in global HCI communities, presenting at CHI and ECSCW conferences.

Michael Sedlmairمشاهده پروفایل

استاد

• Augmented Reality
• Virtual Reality
• Human-Computer Interaction
• +۵ مورد دیگر

Michael Sedlmair is a Professor at the Institute for Visualization and Interactive Systems (VIS) within the College of Engineering at the University of Stuttgart. He serves as Managing Director of VIS and leads research in augmented reality (AR), virtual reality (VR), human-computer interaction, and visualization. His work spans collaborative fabrication, motion guidance systems, educational AR/VR applications, and situated analytics. Research Themes : AR/VR for industrial tasks, haptic feedback systems, situated visualization, cross-reality transitions, music composition tools, and inclusive avatar design. Recent Articles : Focus on AR for collaborative tasks, motion guidance feedback, molecular structure learning in AR, music visualization, and accessibility studies in VR environments. His team collaborates with institutions like Mercedes-Benz AG, IMPRS-IS, and ACM/IEEE conferences. No specific awards or student advisories are mentioned in the provided texts.

Andreas Bullingمشاهده پروفایل

استاد

• Human-Computer Interaction
• Computer Vision
• Ubiquitous Computing
• +۴ مورد دیگر

Prof. Dr. Andreas Bulling is Full Professor of Computer Science at the University of Stuttgart , leading the Collaborative Artificial Intelligence research group at the Institute for Visualization and Interactive Systems. He is also a founding director of the Stuttgart ELLIS Unit and serves on multiple prestigious boards including IEEE Transactions on Visualization and Computer Graphics . Education: MSc in Computer Science (KIT), PhD in Information Technology (ETH Zurich) Research Interests: Human-Computer Interaction, Eye Tracking, Wearable Computing, Computer Vision, and Privacy-Preserving AI Scientific Leadership: UbiComp Steering Committee member, ACM ETRA General Chair (2020), and extensive editorial/guest editor roles Key Awards: ERC Starting Grant (2018), Henriette Herz Scout (2024), and multiple best paper awards at CHI, ETRA, and UIST Technical Contributions: Developed datasets (LPW, VisRecall++), created novel methods for gaze estimation, mental face reconstruction, and saliency prediction in visualizations His work bridges AI and Human-Computer Interaction with applications in immersive systems and healthcare technologies.

Andreas Fenderمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• Augmented Reality
• Virtual Reality
• +۶ مورد دیگر

Andreas Fender is a researcher at the Visualization Institute of the University of Stuttgart (VISUS), affiliated with the Schmalstieg Working Group. He has held postdoctoral positions at ETH Zurich (Switzerland) and the University of Sussex (England), following his PhD at Aarhus University (Denmark) with an internship at Microsoft Research (USA). His research focuses on Human-Computer Interaction, particularly in Augmented and Virtual Reality (AR/VR) and camera networks. He develops novel input methods for productivity and artistic expression in Mixed Reality environments, creating hybrid physical-digital systems like OptiBasePen, PressurePick, InfinitePaint, and DeltaPen. Recent work includes contributions to Mixed Reality input methods (UIST 2024, CHI 2022) and collaborative systems (Asynchronous Reality). Projects like GuitarPie (UIST 2025) and OptiBasePen (UIST 2024) demonstrate his focus on mobile interaction and ergonomic design. Scientific accolades include the Best paper award at CHI 2022 Best application paper award at ISS 2019 . At VISUS, he collaborates with Dieter Schmalstieg and leads hiring for PhD students and PostDocs exploring physical-digital workflows, artistic tools, and critical AI engagement. His work integrates machine learning, hardware prototyping, and spatial user interfaces to redefine future workplaces.

Sonia Giebelمشاهده پروفایل

پژوهشگر ارشد

• Sociology of Education
• Social Identity Construction
• Diversity Studies
• +۳ مورد دیگر

Sonia Giebel, Ph.D., is a Research Fellow at the Research Professorship Global Sociology (Wissenschaftszentrum Berlin für Sozialforschung) and a Dahrendorf Fellow at St Antony's College, University of Oxford. Her work bridges sociology of education, identity studies, and computational methods, focusing on diversity discourses in higher education admissions. Primary Affiliation : Global Sociology, WZB Current Fellowship : Dahrendorf Fellow, University of Oxford Her research explores: How universities construct social identities and diversity frameworks Income disparities in college application strategies Gender performance in STEM admissions Computational analysis of mass application data Recent publications span Poetics , Sociology of Education , and Science Advances , with broader trends showing interdisciplinary analysis of meritocracy and systemic bias. Media outlets including the New York Times and The Chronicle of Higher Education have featured her work. Scientific recognition includes: Fulbright English Teaching Assistant (Vietnam) Dahrendorf Fellow (Oxford, 2025) She is completing her first book, Diversity in Pieces (University of Chicago Press), analyzing multiracial applicants' narratives in college admissions.

Gerard de Meloمشاهده پروفایل

استاد

• Artificial Intelligence
• Large Language Models
• Natural Language Processing
• +۹ مورد دیگر

Gerard de Melo is a Professor and Chair of Artificial Intelligence and Intelligent Systems at the Hasso Plattner Institute (University of Potsdam, Germany). He also serves as a member of the Cognitive Sciences Research Focus and ELLIS Unit Potsdam . Research Interests: AI and Machine Learning Natural Language Processing Cross-modal AI (vision-language models, knowledge graphs) Societal and philosophical aspects of AI Medical Informatics Recommendation Systems Graph Neural Networks Recent Article Trends: His work spans generative AI (Vector Grimoire), medical LLM evaluation (CliMedBench), distributed training (Efficient Parallelization), and social media analysis (WallStreetBets) with a focus on multimodal systems and ethical AI . Scientific Recognition: Rutgers CSGSS Best Professor Award (Teaching, Advising) Best Paper Awards: NeurIPS Workshop, CIKM, EACL LANTERN IEEE TCSE Distinguished Paper Award First Runner-Up ACM WebSci Advising & Grants: Mentored students like Rohan Sawahn (Better World Award) and Maximilian Schall (IEEE TCSE Award). Secured major funding including German BMBF Grant for AI Service Center Berlin-Brandenburg and DARPA SocialSim Program support.

Jason J. Jungمشاهده پروفایل

استاد

• Computer Science
• Knowledge Engineering
• Social Media Analysis
• +۳ مورد دیگر

Jason J. Jung is a Professor in the Department of Computer Engineering at Chung-Ang University, Seoul, Korea. His academic work focuses on knowledge engineering , social media analytics , and data mining within the Knowledge Engineering Laboratory. Research Interests : Computer Science, Social Knowledge, Data Modeling, Sentiment Analysis Projects : IoT-based cultural systems, real-time social event detection, transmedia storytelling models The 15 most recent publications (2014-2018) demonstrate expertise in social network analysis , multimodal data processing , and context-aware systems applied to urban services, cultural tourism, and digital storytelling. Key trends include real-time analytics , trust modeling , and collaborative frameworks for O2O services. Professional activities include editorial contributions, invited talks, and patent developments. Students at all levels (PhD/MSc/BSc) conduct research under his supervision at the Knowledge Engineering Laboratory. Personal interests include travel, film, painting, literature, and music.

• Marine Microbiology
• Bacterial Community Ecology
• Microbiome-Host Interactions
• +۳ مورد دیگر

Daniel Pönisch is a researcher at the Leibniz Institute for Baltic Sea Research Warnemünde . His work focuses on microbial ecology in marine systems, particularly bacterial community dynamics along salinity gradients in the Baltic Sea. Investigates transitions between marine and limnic bacterial communities Examines microbiome-host interactions in invertebrates Contributes to understanding Vibrio vulnificus proliferation mechanisms Recent publications analyze: Vibrio control through eutrophication management Salinity impacts on snail gut microbiomes Microbial patterns in Baltic Sea aerobiology Long-term Vibrio epidemiology (1994-2021) Collaborates with institutions including Estonian University of Life Sciences and Max Planck Institute for Terrestrial Microbiology.

• Geoinformatics
• Computer Graphics
• Computer Vision
• +۵ مورد دیگر

Prof. Dr. rer. nat. habil. Stephan Kopf is a faculty member at the Faculty of Spatial Information, where he holds the Professorship in Informatics and Geoinformatics. He actively contributes to research in geographic information systems (GIS), computer graphics, computer vision, and multimedia technologies. His academic leadership roles include serving as Dean and as a member of the Faculty Council, with advisory roles in the Senate. His research spans crowd simulation , image/video retargeting , augmented reality platforms , and interactive learning systems . He focuses on algorithm development for GIS, temporal effects in re-captured video, and scalable solutions for classroom interactivity. His work frequently integrates machine learning, mobile computing, and geospatial data. For teaching, he oversees courses such as Internet Technologies, Informatics, and Programming in degree programs like Geoinformatics/Management and Surveying. He supervises theses involving programming-centric topics like mobile app development , VR applications , and astronomical analysis of geospatial data .

• Artificial Intelligence
• Data Science
• Computer Vision
• +۶ مورد دیگر

Niklas Beuter is a Professor of Artificial Intelligence and Data Science at TH Lübeck, Germany, within the Department of Electrical Engineering and Computer Science. He has been in this position since 2023, contributing to both research and education in AI and computer vision. His educational background includes a Diplom in Computer Science with a focus on robotics from Universität Bielefeld, completed with distinction, followed by a Ph.D. from the same institution in 2011. His doctoral research centered on 3D human detection and tracking for mobile robotic platforms, supporting situation awareness in dynamic environments. Beuter's research is deeply rooted in artificial intelligence, computer vision, and robotics , with a focus on dynamic 3D scene analysis, human-robot interaction, and autonomous systems . His work bridges theoretical models with real-world applications, particularly in autonomous driving and intelligent robotic perception. He has led research teams in industry, demonstrating strong leadership in applied AI. The trend in his publications reflects a consistent focus on perception systems for robots and vehicles , evolving from foundational work in 3D reconstruction and gesture-based interaction to advanced topics like pedestrian intent forecasting using deep learning. His contributions span top conferences such as IEEE ICRA, CVPR, and Intelligent Vehicles, indicating sustained engagement with the core AI and robotics communities. While no formal scientific awards are listed in the provided text, his leadership roles and publication record reflect significant professional recognition. He actively supervises student theses and invites students to register for thesis topics via email, indicating an ongoing commitment to mentoring. Although no specific grants are mentioned, his industrial and academic research leadership suggests involvement in funded projects. He is a member of research groups including CoSA and serves as Deputy Head of ISy, showing active participation in institutional research organization. His research has been conducted in collaboration with teams at Universität Bielefeld, Daimler Research Center, and Robert Bosch GmbH, reflecting a strong interdisciplinary and industry-academia network. His work continues to influence both academic research and industrial applications in AI and autonomous systems.