جست‌وجوی استاد و پژوهشگر

Chuck Fangمشاهده پروفایل

استادیار

• Credit Markets
• Monetary Policy
• Financial Innovations
• +۷ مورد دیگر

Chuck Fang is an Assistant Professor of Finance at Drexel University's LeBow College of Business. He holds a PhD in Finance from UPenn Wharton (2023) and BAs in Economics, Mathematics, and Statistics from UC Berkeley (2015). His research is centered on credit markets, monetary policy, financial innovations, and financial data infrastructure. PhD in Finance, UPenn Wharton, 2023 BAs in Economics, Mathematics, and Statistics, UC Berkeley, 2015 His research interests span credit markets , monetary policy transmission , financial innovations (including DeFi and automated market makers), and financial data linkage (e.g., Bond-Compustat-CRSP and DealScan-Compustat links). His work explores how monetary policy affects bond fund flows, debt structure changes, and sovereign restructuring. He emphasizes data quality and transparency, contributing open-source tools for empirical finance. The most recent articles reveal a strong focus on monetary policy amplification , debt market structure , and data infrastructure for empirical research. Keywords across publications include finance, monetary policy, asset pricing, fintech, and data linkage. Subfields consistently involve bond fund flows, syndicated loans, sovereign debt restructuring, DeFi mechanisms, and financial data validation. His research bridges macroeconomic policy with micro-level financial data, often using large-scale institutional holdings and transaction data. Scientific awards include: WFA Brattle Group PhD Candidate Award for Outstanding Research Chuck Fang has advised no students listed in the materials. He has secured research recognition through conference presentations and working paper awards. His work is supported by access to major financial databases and collaboration with leading scholars such as Kairong Xiao and Greg Nini. He actively disseminates findings through SSRN, Google Scholar, and academic conferences. He leads or contributes to several data infrastructure projects, including the Bond-Compustat-CRSP Link and DealScan-Compustat Link. These tools enhance empirical research in corporate finance and asset pricing by improving issuer identification and data accuracy. He also maintains a personal website and is active on professional platforms like LinkedIn and Twitter, promoting open science and financial research transparency.

James Malazitaمشاهده پروفایل

دانشیار

• Game Studies
• Platform Studies
• Feminist Technoscience
• +۷ مورد دیگر

James Malazita is Associate Professor of Science & Technology Studies and Associate Director of the Games and Simulation Arts and Sciences (GSAS) program at Rensselaer Polytechnic Institute (RPI). He is affiliated with the Department of Science and Technology Studies in the School of Humanities, Arts, and Social Sciences, and contributes to the GEM (Games and Experiential Media) research group. Education: Ph.D. in Communication, Culture, and Media, Drexel University (2014) BS/MS in Digital Media, Drexel University (2009) Malazita's research lies at the intersection of game studies, platform studies, feminist technoscience, and social justice in computing. He critically investigates how game engines like Unreal shape technological and cultural infrastructures, particularly through the lenses of gender, race, and power. His forthcoming book, Enacting Platforms: Feminist Technoscience and the Unreal Engine (MIT Press, July 2024), offers a groundbreaking feminist and critical analysis of one of the most influential game development platforms. His work also extends to digital humanities, critical design, and the politics of computer science education. His recent publications reveal a strong thematic focus on the co-production of technology and society, with recurring interests in epistemic cultures, disciplinary formation, localization, and critical pedagogy. These works span journals in game studies, design, digital humanities, and STS, reflecting an interdisciplinary approach that bridges technical systems and humanistic critique. Scientific Support and Affiliations: Supported by NEH Office of Digital Humanities Supported by NEH Division of Educational Programs Supported by Popular Culture Association Supported by New Jersey Historical Commission Supported by Red Hat Inc. Supported by Rensselaer’s Teaching and Learning Collaboratory Member of GEM (Games and Experiential Media) ORCID: 0000-0003-3206-3682 Malazita advises graduate students in STS and Games, with former advisees placed at Yale, NYU, and UT Austin. He teaches courses in game studies, human-centered design, interpretive methods, and critical technology studies. His current course includes STSO 2610: DSIS Studio II (Spring 2024). His research raises fundamental questions about the material and cultural limits of platforms, the analyst-platform relationship, and the future of the web as shaped by game technologies.

Torsten Wolfgang Kuhlenمشاهده پروفایل

استاد

• Virtual Reality
• Immersive Visualization
• Scientific Visualization
• +۵ مورد دیگر

Prof. Torsten Wolfgang Kuhlen serves as a Universitätsprofessor at RWTH Aachen University, leading the Teaching and Research Area for Virtual Reality and Immersive Visualization within the Department of Computer Science. He is affiliated with Chair of Computer Science 12 (High Performance Computing), the Visual Computing Institute, and remains an integral part of the RWTH IT Center where his research group operates one of the world's largest Virtual Reality laboratories including the 30 sqm aixCAVE visualization chamber. The group maintains strong connections with Computational Science & Engineering Division, National High Performance Computing Center for Computational Engineering Science (NHR4CES), and VR in Science and Industry Network NRW e.V. Prof. Kuhlen's research spans virtual reality, immersive visualization, and multimodal 3D user interfaces with applications across simulation science, production technology, neuroscience, and medicine. His work combines basic research on advanced methods and algorithms with interdisciplinary collaborations involving RWTH Aachen institutes, Forschungszentrum Jülich, and industry partners. Recent publications demonstrate strong focus on audiovisual perception, immersive analytics, collaborative virtual environments, and practical VR applications in education and manufacturing. His research group has produced significant work on listening effort in virtual environments, immersive authoring techniques, and VR applications for scientific visualization. Notable projects include VRScenarioBuilder for automated vehicle testing and applications in monitoring additive manufacturing processes. The group actively participates in major conferences including IEEE VIS and EuroVis, with several award-winning contributions. Prof. Kuhlen has advised PhD students including Martin Bellgardt who recently completed his doctoral degree on "Increasing Immersion in Machine Learning Pipelines for Mechanical Engineering". The research group maintains state-of-the-art VR infrastructure including the aixCAVE facility which is open to all RWTH research groups.

• Artificial Intelligence
• Machine Learning
• Activity Recognition
• +۱۲ مورد دیگر

Gita Reese Sukthankar is a Professor in the Department of Computer Science at the University of Central Florida (UCF) , where she directs the Intelligent Agents Lab . Her research focuses on activity and plan recognition , with applications in multi-agent systems, robotics, and human-robot interaction. She earned her Ph.D. from the Robotics Institute at Carnegie Mellon University and joined UCF in fall 2007. Research Interests: Her work spans activity recognition , intent inference , multi-agent coordination , and human-robot teams . She has applied these techniques to domains such as adversarial games (e.g., military simulations, Unreal Tournament), assistive technologies, and cooperative robotics. Her research integrates AI, machine learning, and probabilistic models to understand and predict complex team behaviors. Publication Trends: Her publications emphasize spatio-temporal modeling , probabilistic graphical models (e.g., HMMs, CRFs) , and multi-agent plan recognition . She frequently publishes in top venues like AAMAS, AAAI, and ICRA, with a focus on robust recognition of team behaviors, transfer learning, and real-world AI applications. Scientific Awards: NSF CAREER Award (2009) AFOSR Young Investigator (2009) ONR Summer Faculty Fellow (2008) UCF Faculty Excellence for Doctoral Mentoring (2012) CECS Dean's Research Professorship (2013) AAAI Senior Member (2021) ACM and IEEE Senior Member Advising and Grants: She mentors graduate students in AI and robotics and has led research funded by DARPA, AFOSR, and ONR. Her lab develops systems for intelligent agents that can understand and collaborate with humans. She has served on numerous program committees and editorial boards, including ACM Transactions on Autonomous and Adaptive Systems . She teaches courses such as Intelligent Systems , Robotics , and Machine Learning , and has been recognized for both research and teaching excellence. Labs and Teams: She leads the Intelligent Agents Lab at UCF, which focuses on data-driven social informatics and AI for human-agent teams. Her group collaborates with researchers in robotics, computer vision, and cognitive science to build adaptive, intelligent systems.

Anthony Clarkمشاهده پروفایل

استادیار

• Autonomous Robotics
• Evolutionary Robotics
• Computer Vision
• +۷ مورد دیگر

Anthony Clark is an Assistant Professor of Computer Science at Pomona College, where he has been teaching since 2020. Previously, he served as an Assistant Professor at Missouri State University from 2016 to 2020. He directs the ARCS (Autonomous Robotics and Complex Systems) Lab, which focuses on improving the robustness and adaptability of autonomous robots, particularly small-scale systems that can navigate unpredictable terrain and adapt to potential damage. Clark earned his Ph.D. in Computer Science from Michigan State University in 2016, where he worked under Dr. Philip K. McKinley, and his B.S. in Computer Engineering from Kansas State University, graduating magna cum laude. His research centers on making autonomous robots more robust and adaptive through optimization algorithms and multimodal systems. He specializes in evolutionary robotics, computer vision, neural networks, and simulation methods for developing control systems that leverage multiple locomotion mechanisms. His recent work demonstrates strong trends across several domains: developing hybrid locomotion systems (wheel/leg transformations), applying deep learning to terrain classification and pathfinding, using simulation environments for training, and exploring pretraining techniques for evolutionary robotics. His research shows a consistent focus on bridging simulation and real-world applications while addressing challenges in robot adaptability and robustness. Faculty Excellence in Teaching, Missouri State University (2018) Best Paper Award, Workshop on Evolutionary and Reinforcement Learning (2013) Best Paper Award, ALIFE Conference, Behavior and Intelligence Track (2012) Outstanding Reviewer, Elsevier (2018) Master Advisor Certification, Missouri State University (2017) Clark has advised numerous undergraduate and graduate students through the ARCS Lab, with current research involving projects like the Adabot (a robot with multiple locomotion mechanisms) and thermal semantic segmentation for aerial field robots. His teaching portfolio includes courses on data structures, algorithms, neural networks, computer systems, and mobile robotics. He has also served as a Visiting Associate at Caltech's ARC Lab from 2023-2024, working with Dr. Soon-Jo Chung. The ARCS Lab develops simulation environments, optimizes control systems, and fabricates physical robots. Current projects include the Adabot with its geared coaxial shaft mechanism for hybrid locomotion, thermal semantic segmentation using satellite data, and creating dynamic simulation environments with Unreal Engine 5. The lab emphasizes practical applications of theoretical research while training students in both hardware and software aspects of robotics.

Madeline Warrenمشاهده پروفایل

استاد

• Film Production
• Creative Producing
• Virtual Production
• +۳ مورد دیگر

Madeline Warren serves as Trustee Professor of Film and Chair of Undergraduate Programs at Chapman University's Dodge College of Film and Media Arts, with prior leadership as Founding Associate Dean of Chapman University Singapore (2008-2010) where she established the Creative Producing major and Hollywood internship program. Educational background: New York University, Bachelor of Arts New York University, Master of Arts Her research centers on virtual production , creative producing , and international co-production , driving curriculum innovation through the Entertainment Technology Minor (integrating VR/AR/AI) and Business of Entertainment Minor. She pioneers interdisciplinary teaching methodologies emphasizing real-time technology integration in film education. Recent scholarly output demonstrates accelerating focus on virtual production pedagogy, with UFVA conference presentations (2021-2023) analyzing team-teaching frameworks, collaborative workflows, and rapid implementation strategies for LED volume technology in academic settings. Warren mentors students through the Producer/Screenwriter Workshop and Hollywood internship initiatives, while advancing Chapman's production infrastructure including the Dodge LED wall facility featured in AbelCine and university publications. Academic service includes Routledge Books external review, Narrative Arts Awards Committee leadership, and Infinity Film Festival Student Lab coordination.

Martin Servinمشاهده پروفایل

دانشیار

• Digital Physics
• Computational Modelling
• Robotics
• +۳ مورد دیگر

Martin Servin is an Associate Professor at the Department of Physics, Umeå University, and leads the Digital Physics research group within the UMIT Research Lab. His work focuses on computational modeling and simulation of granular materials, robots, and vehicles, with applications in AI-based control and perception. He holds a doctoral degree from Umeå University (2003) and has pioneered research in real-time physics simulation, particularly in the context of autonomous machinery and off-road robotics. Research Interests : Digital physics, granular materials simulation, autonomous systems, reinforcement learning, and simulation-to-reality transfer. His group develops advanced simulation tools for industries like forestry, mining, and construction. Key Projects : Mistra Digital Forest (2019–2026) AILUR (Digital Twin for AI-controlled Lunar Robotics) XSCAVE (Explainable, Safe Control for Heavy Machinery) Publications emphasize simulation methodologies, AI integration, and real-world validation across robotics, vehicle dynamics, and granular mechanics. Notable contributions include work on wheel loader dynamics, deep reinforcement learning for control systems, and terrain modeling. Awards include the Spin-off award for industry-grade physics in Unreal Engine (2018) , recognizing his role in Algoryx Simulations, a spin-off company commercializing his research. Labs/Teams : UMIT Research Lab, Digital Physics Group, and collaborations with Algoryx Simulations.

Tobias Neiß-Theuerkauffمشاهده پروفایل

پژوهشگر

• Optical 3D Metrology
• Augmented Reality in Surgery
• Medical Image Analysis
• +۳ مورد دیگر

Tobias Neiß-Theuerkauff, M.Sc., is a researcher at the Institute for Applied Photogrammetry and Geoinformatics (IAPG) within Jade University of Applied Sciences, Oldenburg. His work centers on optical 3D metrology applications in surgical assistance and maritime systems, currently contributing to the ASKAR3D project (2023-2026) funded by the Federal Ministry of Education and Research for developing augmented reality-guided knee arthroplasty systems. His research integrates computer vision, photogrammetry, and AI to solve practical challenges in medical imaging and maritime engineering. Recent publications demonstrate a focused shift toward surgical applications, developing AI-driven 3D bone reconstruction and semantic segmentation techniques for knee arthroplasty, while maintaining expertise in maritime 3D visualization established through earlier work on vehicle simulation and autonomous systems. Supported by significant grants including ASKAR3D and CoSAIR (Collaborative Spatial Artificial Intelligence in Realtime), his project portfolio reflects strong federal funding recognition. He has co-supervised Master's research in Geodesy and Geoinformatics, specifically guiding thesis work on point cloud triangulation for Unreal Engine visualization in 2019. As a core member of IAPG's Laboratory for optical 3D metrology, Neiß-Theuerkauff collaborates with leading researchers including Prof. Dr. Frank Wallhoff and Prof. Dr. Thomas Luhmann, bridging theoretical computer vision with clinical and maritime implementations through interdisciplinary teamwork.

Katie Plantمشاهده پروفایل

دانشیار

• Human Factors
• Ergonomics
• Transportation Safety
• +۴ مورد دیگر

Dr. Katie Plant is an Associate Professor at the University of Southampton, affiliated with the Centre for Defence and Security Research and the Transportation Research Group. Her research focuses on human factors in complex systems, including autonomous vehicles, transportation safety, and organizational adaptation. She leads projects such as REASON (resilient autonomous agents) and GEM (gender equitable micro-mobility guidelines). Current supervision includes PhD students in defense mobility and environmental engineering. Active collaborations involve the EPSRC/Mod Doctoral Training Centre and industry partners like the Chartered Institute of Logistics & Transport. Her work spans aviation safety, driver-cyclist interactions, and pandemic-era organizational resilience. She contributes to interdisciplinary initiatives like the STARS global road safety group. Research methods include simulation design (e.g., SUMO-Unreal Engine integration) and thematic analysis of human-system interactions. Notable contributions include advancing automation handover protocols, urban mobility equity frameworks, and human-centric design for emergency systems. Her projects address both technical and socio-organizational challenges in critical infrastructure systems.

Santiago Berrezuetaمشاهده پروفایل

مدرس

• Virtual Reality
• Augmented Reality
• eXtended Reality
• +۷ مورد دیگر

Santiago Berrezueta is a Lecturer at the School of Computation, Information and Technology within Technical University of Munich (TUM). He actively contributes to research in Virtual Reality , Artificial Intelligence , and Robotic Assistance , with a focus on applications in Education and Healthcare . 2025 : 10 publications in VR, robotics, and AI ethics. 2024 : 4 co-authored studies on ChatGPT in ADHD therapy and collaborative learning. His research intersects Interactive Learning and Computer Vision , particularly in ADHD treatment , Language disorder detection , and VR-based education . He supervises Bachelor’s/Master’s theses on topics like gaze-based interaction, collaborative VR workflows, and AI-driven therapeutic tools. 2025: Excellent Paper Award at International Symposium on Educational Technology (ISET 2025) 2024: Best Presentation Award at International Conference in Intelligent Environments (IE 2024) He leads courses on Software Engineering and Programming Fundamentals at TUM’s Heilbronn campus. His work also explores IoT applications and ethical AI in vulnerable populations.

• Robotic Vision
• Autonomous Vehicles
• Computer Vision
• +۷ مورد دیگر

Dr. Annette Stahl is a Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU). She is an Onsager Fellow and leads the Robot Vision Group, overseeing the AILARON project funded by the Research Council of Norway. Her roles include affiliation with NTNU AMOS and the SFI AutoShip Centre for Research-based Innovation. Stahl holds a PhD in Applied Mathematics (Computer Vision) from Heidelberg University. Affiliations: NTNU AMOS, SFI AutoShip, and AILARON project leadership Research Focus: Robotic vision, autonomous systems, underwater exploration, and aquaculture monitoring Education: PhD in Applied Mathematics (Computer Vision) – Heidelberg University Research Interests: Her work spans robotic and computer vision, control theory, autonomous vehicles, mathematical image analysis, and machine learning applications in aquaculture and maritime systems. Key focus areas include underwater SLAM, sensor fusion for autonomous ships, and plankton detection using AI. Articles: Recent publications emphasize underwater robotic systems, sensor fusion for autonomous navigation, and AI-driven aquaculture monitoring. Key themes include 3D reconstruction, visual SLAM, and maritime tracking algorithms. Grants & Projects: AILARON (FRINATEK/IKTPLUSS) AUTOSIGHT (IKTPLUSS) AROS (IKTPLUSS) SFI AutoShip (SFI) Advising: Main supervisor for 10+ PhD candidates (e.g., Trym Nygård, Mauhing Yip) Co-advisor for projects like INDISAL (fish identification) Labs/Teams: Robot Vision Group at NTNU Collaborations with SINTEF Ocean and Zebop AS

Arjun Kharaمشاهده پروفایل

دانشیار

• AI and Society
• Fairness Design
• Aesthetics of Care
• +۷ مورد دیگر

Dr. Arjun Khara is an Associate Professor and Deputy Head of School (Academic and Innovation) at the School of Design, University of Leeds. He holds a PhD in Information Design from the University of Reading and a Valedictorian MA in Computer Games Art and Design from Goldsmiths, University of London. His dual academic-industry career includes leadership roles at Quantico CCIL Singapore and extensive EPSRC-funded research on AI ethics in design. Education: PhD (University of Reading), MA (Goldsmiths), BA (University of South Australia) Roles: Deputy Head of School, AI Working Group Lead, PACE Associate Director Expertise: Fairness Design, AI Ethics, Branding, Digital Government Communication Research focuses on: - Fairness Design : Ethical frameworks for digital government forms - AI in Design : Cross-disciplinary applications and pedagogy - Care Aesthetics : Human-centered design philosophies Recent projects include MAVIS (AI visualization for machine learning models) and co-authored works on urban inclusion in favelas. His teaching integrates industry tools like Unity/Unreal Engine with academic rigor. Awards: 2024 Teacher of the Year (University-Wide), Early Career Excellence Award Grants: EPSRC-funded AI visualization research (£2.5M+) He leads the Professional Academy for Creative Enterprises (PACE) and manages AI policy development at Leeds. Active in Singapore's design community through Quantico's training programs and Silent Heroes Awards.

• Educational software design and development
• Collaborative learning
• Computer game development education
• +۷ مورد دیگر

Maksimenkova Olga Veniaminovna is an Associate Professor and Deputy Head of the Department of Software Engineering at the Faculty of Computer Science, National Research University Higher School of Economics (HSE University) in Moscow. With over 20 years of scientific and teaching experience, she has been working at HSE since 2009. Her academic journey includes positions as Senior Lecturer, Researcher at the International Laboratory for Intelligent Systems and Structural Analysis, and Deputy Director of the Center for Strategic Analytics and Big Data. Dr. Maksimenkova holds a Candidate of Technical Sciences degree (2018) in Information Systems and Processes, with a dissertation on improving educational information systems based on life cycle models of control and measuring materials. She graduated from Moscow State Institute of Electronics and Mathematics in 2006 with a specialty in Applied Mathematics and the qualification of Mathematician-Engineer. Her extensive professional development includes numerous advanced training programs in educational technologies, software engineering, and emotional intelligence. Her research focuses on educational software design, collaborative learning methodologies, game development education, and adaptive learning systems. She has made significant contributions to the field of educational technology through her work on data science education, virtual reality applications, and computer-supported collaborative learning environments. Dr. Maksimenkova's research bridges theoretical frameworks with practical applications in software engineering education. Analysis of her recent publications reveals a strong emphasis on game-based learning approaches, particularly using Unreal Engine for educational purposes. Her work demonstrates a consistent focus on practical applications of educational technology in software engineering contexts, with increasing attention to AI integration in educational settings. The publications show evolution from foundational work on educational software testing to more sophisticated applications involving game development, virtual reality, and adaptive learning systems. Honorary certificate of HSE University (March 2025) Gratitude from Higher School of Economics (December 2022) Multiple gratitudes from HSE University Vice-Rector (August 2021) Academic work bonus for six consecutive academic years (2013-2019) Inclusion in HSE University's high professional potential group (personnel reserve) Recognition in the Best Russian-language Scientific Works competition (2024) Dr. Maksimenkova actively supervises student course works and final qualification projects, and mentors graduate students. She has been instrumental in developing educational projects including the Summer School on Software Engineering and the GameDev Laboratory at ITHub College. Her grant activities include participation in the Microsoft Azure University Grant program (2016-2017) and various educational innovation projects at HSE University. She has coordinated teams for translating educational platforms and developed numerous educational materials for programming courses. As Academic Director of the Summer School on Software Engineering and Senior Analyst at the 'Vintorog' game development studio, Dr. Maksimenkova leads initiatives that bridge academic research with industry applications. She coordinates the OpenEdX-platform translation team and has been involved in developing educational games, including 'FCN Go!' released to celebrate the 10th anniversary of the Faculty of Computer Science. Her laboratory work focuses on practical applications of game development principles in educational contexts, creating tools that enhance the learning experience through interactive technologies.

Tim Gerritsمشاهده پروفایل

پژوهشگر

• Scientific Visualization
• High-Performance Computing
• In-Situ and In-Transit Visualization
• +۷ مورد دیگر

Dr. Tim Gerrits is a researcher at the Institute for Visualization (VIS) at RWTH Aachen University, where he leads the Visualization Team. His work bridges scientific visualization, high-performance computing, and immersive technologies, with a strong focus on in-situ and in-transit analysis for large-scale simulations. University: RWTH Aachen University Institute: Institute for Visualization (VIS) Role: Lead of the Visualization Team Tim Gerrits' research centers on developing tools and frameworks for efficient and interactive visualization of complex scientific data. His interests include ensemble data analysis, uncertainty visualization, virtual reality interaction techniques, and leveraging game engines like Unreal Engine for scientific applications. He is particularly active in the domain of neuronal network simulations and oceanographic modeling. His recent publications highlight a strong trend toward accessible, real-time, and hybrid visualization workflows. He has contributed to the development of DaVE, a curated database of visualization examples to support HPC users, and Insite, a lightweight pipeline for in-transit processing in neuroscience simulations. His work emphasizes usability, performance, and integration with existing scientific workflows. Scientific Awards: Best Paper Award at IEEE Uncertainty Visualization Workshop, 2024 Honorable Mention Award at Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM), 2022 Dr. Gerrits actively mentors and collaborates on interdisciplinary projects involving computational neuroscience and climate modeling. He has led the curation of datasets for the IEEE SciVis Contest and promotes open science through Zenodo-hosted resources. His lab focuses on building scalable, user-centered visualization systems that empower domain scientists to gain early insights from massive simulations.

Géry Casiezمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Input Interaction
• VR and 3D Interaction
• +۴ مورد دیگر

Géry Casiez is a Full Professor of Computer Science at Université de Lille , holding the Classe Exceptionnelle academic rank. He is also an Adjunct Professor at the University of Waterloo, Canada and a former Junior Member (2018–2023) of the Institut Universitaire de France (IUF) . His research focuses on Human-Computer Interaction (HCI) , with affiliations to the Inria Loki research team and the CRIStAL laboratory . He teaches in the Computer Science department at IUT de Lille and has authored influential works in input interaction, VR, and haptic systems. Notable contributions include the 1€ Filter algorithm for noise reduction in interactive systems, widely adopted in software like Google Chrome and Unreal Engine. Awards: Best Paper Awards at IEEE VR 2020 and CHI 2023, Honorable Mentions at multiple CHI conferences, and inclusion in the top 10 most cited HCI articles (2007–2009).