جست‌وجوی استاد و پژوهشگر

• Database Systems
• Software Engineering
• Data Integration
• +۳ مورد دیگر

Roger King is a seasoned researcher with over 40 years of contributions to computer science, particularly in database systems, software engineering, and data integration. His work spans heterogeneous database management, semantic modeling, and distributed systems, often collaborating with leading institutions like University of Colorado and Springer. 1987: Co-authored foundational paper on semantic database modeling in ACM Computing Surveys 1992: Developed FaceKit database interface design toolkit 1994: Pioneered DIRECT query facility for multiple databases Research Interests: King's work focuses on database integration , semantic interoperability , and self-adaptive systems . Notable projects include Sybil for database evolution, Cactis for object-oriented databases, and COIL mediator definition language. Key Trends: His 15 most recent publications (2024-1999) address challenges in smart data systems , autonomous systems performance , and microgrid control , reflecting sustained expertise in data semantics and system architecture.

Ali Aghaeifarمشاهده پروفایل

پژوهشگر ارشد

• Magnetic Resonance Imaging
• High-field MRI
• B0 Field Shimming
• +۵ مورد دیگر

Dr. Ali Aghaeifar is a Postdoctoral Researcher at the Department for High-field Magnetic Resonance, Max Planck Institute for Biological Cybernetics in Tübingen, Germany. His research focuses on developing advanced magnetic resonance imaging techniques, particularly for ultra-high field (9.4T) brain imaging systems. His research interests span multiple domains of MRI physics and engineering, with emphasis on B0 field shimming , motion correction , and computational simulation of MR phenomena. Aghaeifar has developed several open-source software frameworks including SpinWalk for spin dynamics simulation, TurboBloch for Bloch equation solving, and AMoCo for motion correction in MRI. His recent publications demonstrate expertise in optimizing multi-coil shimming systems, with significant improvements over conventional spherical harmonic approaches. His work bridges physics, engineering, and neuroscience to solve practical challenges in high-field MRI. As a software developer, he has created multiple computational tools implemented in C++ with GPU acceleration using CUDA, and provides interfaces for MATLAB and Python users. His Biot-Savart simulator enables precise calculation of magnetic fields from arbitrary coil geometries.

Andreas Karrenbauerمشاهده پروفایل

پژوهشگر ارشد

• Combinatorial Optimization
• Algorithm Engineering
• Computational Interaction
• +۳ مورد دیگر

Andreas Karrenbauer is a Senior Researcher in the Algorithms and Complexity department at the Max Planck Institute for Informatics, Saarbrücken (since 2013). He also serves as CEO of andaminika GmbH (since 2018). His research focuses on combinatorial optimization, algorithm engineering, and computational interaction, with applications in OLED displays, user interface design, and distributed systems. He holds a PhD from Saarland University (2007) and a Master's in Physics from Saarland University (2007). Key research interests include: Integer Programming, Combinatorial Optimization, Algorithm Engineering, and Computational Interaction. His work bridges theoretical computer science and practical applications, such as optimizing keyboard layouts (e.g., AZERTY redesign) and sensor systems. He has collaborated on projects like the European Laboratory for Learning and Intelligent Systems (ELLIS) and the Saarland Informatics Campus. Selected awards include a 2005 best paper award for 'Packing a Trunk - now with a Twist'. His research has been published in venues like Theoretical Computer Science , SIAM Journal on Computing , and Nature Communications . He advises on doctoral research and contributes to collaborative initiatives such as the International Max Planck Research School on Trustworthy Computing.

Manuel Gomez Rodriguezمشاهده پروفایل

استاد

• Machine Learning
• Social Information Systems
• Counterfactual Reasoning
• +۲ مورد دیگر

Manuel Gomez Rodriguez is a Professor at the Max Planck Institute for Software Systems, specializing in machine learning, social information systems, and human-AI collaboration. His research bridges algorithmic fairness, counterfactual reasoning, and decision-making systems, with applications in public health, refugee resettlement, and language model evaluation. He leads projects developing frameworks for human-aligned AI systems and mitigating counterfactual harms in algorithmic decisions. Research Focus His work spans the development of novel methods for evaluating large language models, designing decision support systems with counterfactual guarantees, and modeling human-AI collaboration dynamics. Key innovations include prediction-powered ranking systems, coupled token evaluation techniques, and computational models of responsibility attribution. Awards and Recognition ERC Consolidator Grant (2024) Best Paper Award at ICML Workshop on AI and HCI (2023) ELLIS Fellow (2019) Outstanding Paper Award at NIPS (2013) Leadership He leads the ERC-funded project on Counterfactuals in Minds and Machines and supervises doctoral students on topics at the intersection of machine learning and social good. His lab maintains collaborations with global institutions to tackle real-world challenges through algorithmic innovations.

• Human-Computer Interaction
• Multimedia Systems
• Data Visualization
• +۳ مورد دیگر

Artur Lugmayr is a Professor affiliated with Curtin University, Perth, Australia. His research focuses on Human-Computer Interaction, Ambient Media, and Multimedia Systems. He actively contributes to conferences like EuroITV, MindTrek, and ACM Multimedia, often serving as a program chair or editor. His work bridges technology and creative industries, emphasizing user experience (UX) design, data visualization, and innovative applications in fields like healthcare, finance, and education. Research Interests : Ambient Media, Virtual/Augmented Reality, Data Storytelling, HCI, Cognitive Big Data, and Space UX design. His projects explore immersive technologies for search and rescue, maritime safety, and educational environments. Publications : Over 113 publications span journals like Multimodal Tools and Applications and conferences such as ACM Multimedia. Recent work includes advancements in VR/AR interfaces, circular visualization techniques for genetic data, and financial sector data storytelling frameworks. Professional Contributions : Organized workshops on SpaceUX, Semantic Ambient Media, and Cultural Visualization. Co-edited proceedings for events like FinanceCom and ICEC. Active in defining future trends for ambient media and interactive TV. Labs & Teams : Engaged in interdisciplinary teams researching immersive technologies and UX design, though specific lab names are not explicitly mentioned.

• Information Systems
• Human-Computer Interaction
• Web Accessibility
• +۳ مورد دیگر

Eleanor T. Loiacono is a Professor at the Foisie School of Business , Worcester Polytechnic Institute , with a research focus on Information Systems , Web Accessibility , and Human-Computer Interaction . She has published extensively in journals like European Journal of Information Systems and Communications of the ACM , addressing topics such as digital inclusion, social media impacts, and gender dynamics in IS disciplines. Key Research Areas : Web Accessibility, Social Media, IT Security, Gender Studies Recent Articles : 2024 work on smart cities for disabilities; 2022 studies on website quality and developer perceptions Her collaborations span institutions globally, with co-authors like Shimi Zhou, Scott McCoy, and Soussan Djamasbi. While no formal students are listed, her work intersects with mentoring programs and women's networks in IS academia.

• Human-Computer Interaction
• Crowdsourcing
• Machine Learning
• +۵ مورد دیگر

Alessandro Bozzon is a Researcher at Delft University of Technology, The Netherlands , specializing in Human-Computer Interaction , Crowdsourcing , and Artificial Intelligence . His work bridges technical systems with human-centric design, focusing on conversational interfaces, data integration, and ethical algorithmic frameworks. Key research areas include urban data analysis, AI explainability, and collaborative policy-making Collaborates extensively with multidisciplinary teams in computer vision, semantic web, and mental health diagnostics Recent publications analyze: Episodic framing in news media (2024) Greenspace accessibility for children (2023) Multi-stakeholder algorithmic assessments (2022) Conversational crowdsourcing systems (2019) His work emphasizes human-in-the-loop approaches across machine learning, urban planning, and media bias detection, with applications in smart homes, policy sandboxes, and public health diagnostics.

Jens Gerkenمشاهده پروفایل

استاد

• Human-Robot Interaction
• Assistive Robotics
• Human-Computer Interaction (HCI)
• +۳ مورد دیگر

Jens Gerken is a Professor of Technology for Inclusion: Mechatronics and Robotics at TU Dortmund University since July 2023, affiliated with the Research Unit for Inclusive Human-Robot Interaction. He holds a PhD (2011), Master (2006), and Bachelor (2004) in Information Engineering from the University of Konstanz. Previously, he was a Professor of Media Informatics (2015-2023), Managing Director of Immersion7 GmbH (2014-2016), and Senior Consultant at ICT AG (2011-2013). Key Research Focus: Inclusive human-robot collaboration mechanisms, transparency in AI-driven systems, mixed-reality simulation environments Expertise: Human-Computer Interaction (HCI), assistive robotics, adaptive control interfaces, accessibility design His work emphasizes trust-building through transparent interaction systems and accessible assistive technologies. Recent publications (2023-2024) focus on shared control mechanisms for robotic arms, AI-enhanced interfaces, and gamified rehabilitation tools like HoloBoard.

• Database Systems
• Data Management
• Data Visualization
• +۳ مورد دیگر

Eugene Wu is a Professor affiliated with Columbia University, specializing in database systems, data management, and visualization. His work bridges theoretical foundations with practical applications, focusing on systems that empower users through interactive analysis and human-in-the-loop processes. Key contributions include Smoke (lineage tracking), AlphaClean (automated data cleaning), and PI2 (interactive visualization generation). He has also explored privacy-preserving data systems (Saibot) and leveraging large language models (LLMs) for tasks like table profiling (Cocoon) and prompt development. Education: PhD from MIT in Computer Science Research spans database theory, visualization frameworks, and machine learning integration. Recent work emphasizes data quality (SPADE), privacy in distributed markets, and scalable training data debugging. He actively contributes to conferences like SIGMOD, CIDR, and VLDB, often chairing workshops on human-in-the-loop analytics. Articles focus on system design, theoretical advancements, and LLM applications in data management. Awards and recognition include sustained innovation in data systems and visualization. Advises on projects blending databases with emerging technologies like LLMs and decentralized data markets.

• EEG
• Brain-Computer Interface
• Visual Perception
• +۱۲ مورد دیگر

Yonghao Chen is a doctoral researcher at the Department of Neurology , Max Planck Institute for Human Cognitive and Brain Sciences , focusing on EEG-based brain-computer interfaces and visual perception. His work bridges neuroscience and biomedical engineering. Research Interests : EEG and neural oscillations Steady-State Visual Evoked Potentials (SSVEP) Face and visual perception decoding Deepfake detection via neural signals Signal processing in neuroinformatics Assistive technologies for neurological disorders Recent Publications : His 2024 studies on EEG-based deepfake detection and realness decoding highlight applications in cognitive neuroscience and machine learning. Earlier work (2020-2021) focuses on SSVEP-BCI system optimization, including calibration-free methods and clinical applications for ALS patients.

Leila Takayamaمشاهده پروفایل

پژوهشگر

• Human-Robot Interaction (HRI)
• Human-Computer Interaction (HCI)
• Telepresence
• +۴ مورد دیگر

Leila Takayama is a Human-Robot Interaction (HRI) researcher and currently serves as a Hans Fischer Fellow at the Technical University of Munich's (TUM) Institute for Advanced Study (TUM-IAS). Her work focuses on the psychological and social aspects of human interactions with robots and technologies, emphasizing the design of systems that are intuitive and unobtrusive. Prior to her fellowship, she held a tenured professorship at the University of California, Santa Cruz (2016–2022), and has extensive industry experience with roles at GoogleX, Willow Garage, and her consulting firm Hoku Labs. Leila earned her PhD in Communication from Stanford University (2008) and holds minors in Psychology. Her research spans HRI fundamentals, telepresence systems, and ubiquitous computing, aiming to bridge technical innovation with human-centered design principles. She has contributed to over a dozen commercial robotic products across aerial, ground, and underwater domains, advocating for robots to become 'invisible-in-use' to enhance human experience. Her awards include the IEEE Robotics Early Career Award (2015), MIT TR35 (2012), and recognition as a World Economic Forum Young Global Leader (2013). Her work explores how robots can collaboratively assist in medical, industrial, and oceanic contexts, with recent TUM-IAS projects focusing on human-in-the-loop ocean robotics and telepresence for deep-sea exploration. Education: PhD in Communication, Stanford University, 2008 MA in Communication, Stanford University BAs in Psychology and Cognitive Science, UC Berkeley, 2003 Leila's research interests include the psychology of HRI, telepresence systems, and the ethical implications of ubiquitous computing. Her recent publications highlight advancements in underwater robotics teleoperation, force feedback interfaces, and collaborative human-robot systems. She has also pioneered methodologies for translating academic research into practical robotic designs for diverse industries.

• Robotics
• Virtual Reality
• Haptics
• +۱۰ مورد دیگر

Shin'ichi Warisawa is a prominent researcher at the University of Tokyo's School of Engineering, Department of Computer Science, specializing in robotics, virtual reality (VR), and multisensory feedback systems. His work bridges human perception and technological innovation, with recent projects focusing on haptic and thermal feedback in VR, stress monitoring, and robotic systems for surgical and agricultural applications. Over his career, he has collaborated extensively with colleagues like Yuki Ban, Rui Fukui, and Juro Hosoi. His research interests span robotics, virtual reality, haptics, human-computer interaction, and biomedical engineering. Key contributions include developing novel VR haptic devices (FurAir, VWind), stress detection systems using physiological signals, and modular rail structures for hazardous environments (Rail DRAGON). He has also explored pseudo-haptic weight perception, vocal agency in VR, and olfactory simulation techniques. Recent publications highlight advancements in cross-modal sensory integration, with 16 articles in 2024 and 16 in 2025. These works emphasize VR applications for emotional and physiological user experiences, including wind sensation replication, paranormal visual phenomena, and vocal stress reduction systems. His 2023-2025 studies on WearSway and volumetric fur stroking showcase cutting-edge wearable haptics and visuo-haptic modeling. Warisawa's collaborative projects span surgical robotics (remote ultrasound systems), agricultural automation (tomato volume estimation robots), and neurosurgical tools. While no explicit awards are listed, his prolific output in top venues like IEEE Robotics and Automation Letters, Frontiers in Virtual Reality, and SIGGRAPH Asia Emerging Technologies underscores sustained impact. His work with institutions across Japan and internationally demonstrates multidisciplinary engagement in teleoperation, sensory engineering, and affective computing.

• High-Performance Computing
• Parallel I/O Systems
• Scientific Computing
• +۳ مورد دیگر

Venkatram Vishwanath is a Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign (UIUC), affiliated with the College of Engineering. His research focuses on high-performance computing (HPC), parallel I/O systems, machine learning applications, and scientific computing. He has contributed to advancing scalable data management, performance optimization on supercomputers, and interdisciplinary projects such as the HACC cosmological simulation framework. Collaborations with institutions like Argonne National Laboratory highlight his work in bridging computational science with practical applications. Key areas of expertise include topology-aware data aggregation, GPU performance modeling, and accelerating I/O operations for large-scale simulations. His work on frameworks like vl3 and PIDX has improved parallel data handling and visualization. Awards and recognitions are not explicitly listed in the provided data, but his extensive publication record and leadership in HPC projects reflect significant contributions to the field.

• Speech Recognition
• Human-Computer Interaction
• Virtual Reality
• +۱۱ مورد دیگر

José Miguel Salles Dias is a researcher at the University of Lisbon, affiliated with the Instituto Superior Técnico and INESC-ID. His work spans speech recognition, human-computer interaction, virtual reality, and machine learning, with a focus on assistive technologies for the elderly, urban mobility analysis, and privacy-preserving systems. Key Research Areas: Speech recognition for elderly users, multimodal interfaces, virtual reality environments, and urban transport analytics. Notable Contributions: Development of gesture-based interaction systems, energy consumption prediction models, and speech interface tools for minority languages. His publications reflect trends in integrating machine learning with real-world applications, including health data systems, bike-sharing optimization, and immersive VR environments. While no explicit awards are listed, his collaborations with institutions like INESC-ID and participation in conferences like INTERSPEECH and Eurographics highlight his academic engagement.

• Multimodal Interaction
• Artificial Intelligence
• Human-Computer Interaction
• +۳ مورد دیگر

Hung-Hsuan Huang is an academic researcher focused on multimodal interaction, embodied conversational agents, and educational technology. His work spans topics such as virtual agent behavior, gamified learning systems, and nonverbal communication analysis. Collaborating frequently with institutions like Osaka University, he has published extensively in venues including HCI, ICMI, and IVA conferences. His research often integrates machine learning techniques with human-computer interaction challenges, particularly in educational and collaborative environments. Key research areas include: (1) Designing virtual agents for tutoring and teacher training, (2) Multimodal assessment systems using speech and body language analysis, (3) Gamification mechanisms for knowledge refinement and skill evaluation, and (4) Cross-cultural interaction frameworks for virtual guides. Recent work emphasizes applications in language proficiency assessment and teacher training simulations. Notable contributions include developing frameworks for integrating embodied conversational agents, simulating group discussion dynamics, and creating virtual classroom environments for skill evaluation. His methodologies often combine deep learning with behavioral analysis to address challenges in human-agent collaboration.