جستجوی استاد راهنمای دانشگاهی

Andreas Bullingمشاهده پروفایل

استاد

• Human-Computer Interaction
• Computer Vision
• Machine Learning
• +۴ مورد دیگر

Andreas Bulling is a Professor at the Institute for Visualisation and Interactive Systems , University of Stuttgart, Germany. His research focuses on Human-Computer Interaction , Eye Tracking , and Computer Vision , with applications in Machine Learning , Virtual Reality , and Information Visualization . 2025 Publications: HOIGaze (Extended Reality), ChartQC (Data Visualization), HAIFAI (Human-AI Interaction), SummAct (Behavioral Summarization), Chartist (Chart Reading). 2024 Contributions: HumanEYEze (Multimodal AI), HOIMotion (3D Object Detection), MultiMediate'24 (Engagement Estimation), Unified Model of Saliency (Scanpath Prediction). His recent work explores gaze estimation , interactive behavior modeling , and privacy-preserving eye-tracking systems . Key subfields include Extended Reality , Neural Networks , and Behavioral Biometrics . While no explicit scientific awards are mentioned, his research has been widely cited (8,003 total citations) and downloaded (132,740 times). Andreas leads projects in Interactive Systems and collaborates with institutions such as Aalto University , KU Leuven , and National University of Singapore . His lab focuses on eye movement analysis , human motion forecasting , and task-driven input modeling .

Ana Serranoمشاهده پروفایل

دانشیار

• Visual Computing
• Computational Imaging
• Material Appearance Perception
• +۷ مورد دیگر

Ana Serrano is an Associate Professor at Universidad de Zaragoza, Spain, where she is affiliated with the Graphics & Imaging Lab in the EINA (Edificio Ada Byron) school. She earned her PhD at the same institution under the supervision of Prof. Diego Gutierrez and Prof. Belen Masia, and completed a postdoctoral fellowship at the Max-Planck-Institute for Informatics under Prof. Karol Myszkowski. Her research focuses on visual computing , particularly in computational imaging , material appearance perception and editing , and virtual reality . She is especially interested in developing perceptually-driven methods that leverage knowledge of the human perceptual system to enhance user experiences and assist content creation in immersive environments. Her recent publications (2023–2025) span top-tier venues such as SIGGRAPH, CVPR, IEEE TVCG, and Eurographics. These works explore topics like saliency prediction in 3D and 360° video, crossmodal perception in VR, gloss modeling, radiance fields, and perceptual evaluation of immersive content. The research demonstrates a strong integration of machine learning, human perception, and computer graphics to solve real-world problems in visual computing. She has received several prestigious awards, including: Eurographics 2023 Young Researcher Award VGTC VR 2024 Significant New Researcher Award Eurographics 2020 PhD Award Adobe Research Fellowship (honorable mention, 2017) NVIDIA Graduate Fellowship (2018) Ana Serrano actively supervises PhD and Master’s students and has taught courses such as Virtual Reality, Computational Imaging, and Deep Learning applications. She serves as an Associate Editor for Computer Graphics Forum , ACM Transactions on Applied Perception , and Computers and Graphics , and has held leadership roles in major conferences including Eurographics (Tutorials co-chair, 2023), ACM SAP (Program co-chair, 2022), and CEIG (Program co-chair, 2022). Her professional service includes extensive program committee and reviewer roles for SIGGRAPH, IEEE VR, ISMAR, and others. She leads a vibrant research group focused on human perception in virtual environments, with current projects on computational models of attention and perception, integrated with physiological signals. Her lab, the Graphics & Imaging Lab, fosters interdisciplinary collaboration and innovation in visual computing.

Minh Hoai Nguyenمشاهده پروفایل

استادیار

• Computer Vision
• Machine Learning
• Human Activity Recognition
• +۵ مورد دیگر

Minh Hoai Nguyen is an Assistant Professor in the Department of Computer Science at Stony Brook University. He received his PhD in Robotics from Carnegie Mellon University and a Bachelor of Engineering from the University of New South Wales. Prior to Stony Brook, he was a post-doctoral research fellow at Oxford University and a Kurti Junior Research Fellow at Brasenose College. Education: PhD in Robotics, Carnegie Mellon University Bachelor of Engineering, University of New South Wales His research focuses on computer vision , machine learning , and time series analysis , particularly in developing algorithms for human action recognition , gesture detection , and expression analysis in video data. Applications include video surveillance , human-computer interaction , and medical diagnosis of behavioral disorders . His work integrates computer vision for video processing, time series analysis for modeling human behavior, and machine learning for training complex algorithms. Notable awards include: CVPR 2012 best student paper award Winner of PASCAL VOC 2012 Challenge for Human Action Recognition He teaches courses such as Video Analysis (CSE 594) and Introduction to Robotics (CSE 525) .

Belen Masiaمشاهده پروفایل

دانشیار

• Computational Imaging
• Applied Perception
• Virtual Reality
• +۴ مورد دیگر

Belen Masia is a tenured Associate Professor in the Computer Science Department at Universidad de Zaragoza , Spain. She is affiliated with the Graphics & Imaging Lab (part of the I3A Institute ) and the Vision, Image and Neurodevelopment Group (within the IIS Aragon Institute ). Her research bridges computational imaging , applied perception , and virtual reality , focusing on modeling human visual behavior and improving graphics/vision algorithms through perceptual insights. Education : Ph.D. in Computer Science (Eurographics PhD Award 2015), postdoctoral work at Max Planck Institute for Informatics . Research Highlights : Virtual Reality : Studying user behavior, saliency prediction, multimodal perception, and cinematography in VR. Appearance Modeling : Developing intuitive material representations and metrics for editing. Applied Perception : Leveraging human vision insights to diagnose defects in non-verbal patients. Computational Displays : Exploring HDR imaging and display optimization. Scientific Awards : Eurographics Young Researcher Award 2017 Eurographics PhD Award 2015 MIT Technology Review Top Ten Innovators Below 35 in Spain 2014 NVIDIA Graduate Fellowship 2012 Leonardo Fellowship from BBVA Foundation 2020 Leadership & Editorial Roles : Co-chair of Full Papers track at Eurographics 2026 Associate Editor for ACM Transactions on Graphics, Computers and Graphics, and ACM Transactions on Applied Perception Co-founder of DIVE Medical , a startup for automated visual function diagnosis PhD Students : Dario Lanza (2025, Modeling, Perception and Editing of Volumetric Materials ) Daniel Martin (2024, Computational Models of Visual Attention in VR , Best PhD Thesis Award EGSE) Julia Guerrero-Viu (2023, WiGRAPH Rising Star) Sandra Malpica (2023, VR Gaze Behavior ) Manuel Lagunas (2021, BBVA/SCIE Young Researcher Award) Ana Serrano (2019, Eurographics PhD Award & Unizar Outstanding Thesis) Collaborations & Grants : Involved in the EU-funded PRIME Innovative Training Network (predictive rendering and appearance reproduction) and leading projects on deep learning for pediatric visual diagnosis.

Titus von der Malsburgمشاهده پروفایل

استادیار

• Psycholinguistics
• Cognitive Modeling
• Eye-Tracking
• +۱۲ مورد دیگر

Titus von der Malsburg is a tenure-track Junior Professor of Psycholinguistics and Cognitive Modeling at the Institute of Linguistics, University of Stuttgart . His research focuses on incremental sentence comprehension, implicit gender biases, scanpath analysis, and computational modeling of language processing. He employs experimental methods like eye-tracking, ERP, and Bayesian statistics to investigate how humans integrate linguistic and cognitive cues during reading. Education : PhD in Cognitive Science (University of Potsdam), with postdoctoral positions at UC San Diego, University of Oxford, and University of Potsdam. His work spans psycholinguistics, cognitive science, and natural language processing, with a strong emphasis on reproducibility and open-source software development. He has contributed to debates on agreement attraction, semantic parsing, and the role of conversational principles in cognitive biases. His lab uses advanced eye-tracking equipment and promotes technical rigor in research practices. Recent publications highlight his contributions to understanding memory decay in syntactic dependencies, semantic attraction effects, and scanpath regularity as a predictor of reading comprehension. The lab actively seeks collaborators aligned with its focus on technical quality and open science. Notably, he clarifies his name’s correct formatting to avoid common misattributions.

Maria A. Martinمشاهده پروفایل

پژوهشگر

• Climate Change Modeling
• Glaciology
• Numerical Simulation
• +۳ مورد دیگر

Dr. Maria A. Martin has been affiliated with the Potsdam Institute for Climate Impact Research (PIK) since 2008, initially as a doctoral student and later transitioning to a post-doctoral researcher. Since 2014, she has served as a Research Analyst within the Scientific Directors' Staff department. Her academic background includes a physics degree from the University of Potsdam and Université Pierre-et-Marie-Curie in Paris, where her doctoral thesis focused on synchronization in quantum-optical resonators. At PIK, she co-developed the Parallel Ice Sheet Model and conducted pioneering research on Antarctic ice-flow dynamics using numerical modeling techniques. Dr. Martin's research interests span climate modeling, glaciology, and environmental science, with a particular emphasis on understanding the mechanisms driving ice-sheet dynamics and their implications for sea-level rise. Her work integrates advanced computational models with observational data to address critical questions in climate science. Beyond technical contributions, she has engaged in science communication through initiatives like the children's podcast Pinselohr . Her professional network and collaborations are reflected in her participation in interdisciplinary projects at PIK, including contributions to policy advice and software development related to climate impact research. She holds an ORCID identifier (0000-0002-1443-0891) and maintains active involvement in academic discourse through peer-reviewed publications and institutional outreach activities.

Luis A. Leivaمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Machine Learning
• Computational Interaction
• +۱۲ مورد دیگر

Luis A. Leiva is an Assistant Professor in the Department of Computer Science at the University of Luxembourg’s Faculty of Science, Technology and Medicine. He leads the Computational Interaction research group and serves as director of the Interdisciplinary Lab for Intelligent and Adaptive Systems (ILIAS). His academic background includes a PhD in Computer Science (with honors), an MAS in Pattern Recognition and Artificial Intelligence, an MSc in Electrical Engineering, and dual BSc degrees in Industrial Design and Industrial Engineering, all from the Universitat Politècnica de València (UPV). His research lies at the intersection of Human-Computer Interaction (HCI) and Machine Learning , with a focus on computational interaction . He investigates methods to enable, explain, and support user interaction through computational models and data-driven techniques. His key areas include implicit interaction —leveraging behavioral signals such as mouse movements and gaze—and synthetic data generation , particularly using kinematic models to simulate human-like gestures. His work has contributed to usability evaluation, user engagement prediction, adaptive interfaces, and stroke gesture modeling. His recent publications span top-tier journals and conferences such as ACM Transactions on Computer-Human Interaction (TOCHI) , IEEE Transactions , CHI , IUI , and SIGIR . The research trends reflect a strong emphasis on multimodal interaction, affective computing, brain-computer interfaces, and deep learning applications in user interface modeling and personalization. Best paper award at IUI'25 Marie Skłodowska-Curie Actions (MSCA) Seal of Excellence (2019) Extraordinary PhD thesis award (2014) Outstanding Reviewer Recognition at CHI, ICMI, MobileHCI, and UIST Quality Teaching Awards finalist at Aalto University (2020) Luis A. Leiva has advised numerous MSc and BSc students at the University of Luxembourg and Aalto University and has secured significant research funding as PI or co-PI for projects such as SYMBIOTIK (EIC), SCRIPTOR (FNR), BANANA (CHIST-ERA), and SAMUSE (Audacity). He is an Associate Editor for the International Journal of Human-Computer Studies and Machine Learning with Applications , and actively serves on the program committees of major HCI and AI conferences. He is also a co-founder and former CTO of Sciling, an SME specializing in machine learning solutions, and has held postdoctoral positions at Aalto University and the PRHLT Research Center (UPV). He leads the Computational Interaction research group and the ILIAS lab, both dedicated to advancing intelligent, adaptive, and user-centered computing systems through interdisciplinary research combining machine learning, cognitive science, and interactive technologies.

Erik Reichleمشاهده پروفایل

استاد

• Computational Modeling in Psychology
• Eye Movement Analysis
• Cognitive Processes in Reading
• +۴ مورد دیگر

Erik Reichle is a Professor and Head of the Department of Psychology at Macquarie University, Australia. He leads the Macquarie Centre for Reading and holds editorial roles in journals like Psychological Review . His research focuses on computational modeling of reading processes, eye-movement control, and cognitive mechanisms underlying text comprehension. Education: Ph.D. in Cognitive Psychology, University of Massachusetts Amherst (1997) M.S. in Cognitive Psychology, University of Massachusetts (1993) B.S. in Psychology, Iowa State University (1990) His research integrates computational models (e.g., E-Z Reader and Über-Reader) with eye-tracking experiments to explore how perceptual, cognitive, and motor processes interact during reading. Key interests include predicting eye movements, cross-linguistic reading dynamics (e.g., Chinese vs. English), and the impact of digital media on reading cognition. Recent articles highlight advancements in modeling lexical control in Chinese reading, predictability effects in text processing, and digital-age reading challenges. His 2024 review in Trends in Cognitive Sciences synthesizes findings on screen-based reading and cognitive adaptation. Awards: Fellowship from the Hanse Institute of Advanced Studies (Germany) Fellowship from the Leverhulme Trust (United Kingdom) Reichle supervises Honors students in cognitive psychology and computational modeling. His grants include projects on children's word learning (ARC DP20) and refining models of skilled reading (ARC DP-19). He balances departmental leadership with editorial work and advocacy for equity in academia. His book Computational Models of Reading: A Handbook (Oxford University Press, 2021) provides foundational insights into modeling reading processes. Collaborations span institutions globally, focusing on reading mechanisms and elite performance expertise (CEPET initiative).

Sara Lu Riggsمشاهده پروفایل

دانشیار

• Task Sharing
• Attention Management
• Interruption Management
• +۶ مورد دیگر

Sara Lu Riggs is an Associate Professor at the University of Virginia, based in Olsson Hall with a dedicated lab in Olsson Hall 002A. Her research focuses on human factors in complex environments, including aviation, healthcare, and manufacturing, addressing challenges like task sharing, attention management, and interruption management through cognitive ergonomics and systems engineering. She explores multimodal displays to mitigate data overload, adaptive interfaces responsive to user needs, and cognitive limitations such as change blindness. Her work has been funded by the National Science Foundation (NSF), Agency for Healthcare Research and Quality (AHRQ), Air Force Office of Scientific Research, and NIH, totaling over $6 million in grants. Notable achievements include the NSF CAREER Award and the 2016 APA Briggs Dissertation Award. Recent research emphasizes tactile displays, real-time gaze sharing in UAV teams, and AI-driven decision support systems. Her lab develops tools like the MoiréTag for tangible interactions and GUIs to streamline eye-tracking data analysis. Key contributions include advancing adaptive display designs, quantifying collaborative strategies in UAV operations, and improving healthcare workflows through human-centric technologies. She actively investigates how workload transitions affect team performance and situational awareness, with applications in both industrial and medical settings.

• Human-Computer Interaction (HCI)
• Computer Vision
• Deep Learning
• +۶ مورد دیگر

Yue Jiang is an incoming Assistant Professor at the University of Utah (Fall 2025) and is currently finishing her Ph.D. at Aalto University and the Finnish Center for Artificial Intelligence (FCAI). Her research focuses on human-centered technologies in HCI, computer vision, and deep learning, particularly in computational user interface understanding, eye tracking, and adaptive GUI layouts. She has held visiting roles at Carnegie Mellon University (CMU) and collaborated with institutions in Canada and the UK. She serves on program committees for CHI, VL/HCC, and IUI, and has organized computational UI workshops at CHI conferences. Education: Ph.D. in Intelligent Systems (Aalto University & FCAI, 2025) Visiting Ph.D. Student (CMU, 2024) M.Sc. in Computer Science (University of Maryland, 2020) B.Sc. in Computer Science (University of Toronto, 2018) Research Interests: Yue explores computational representations of UIs, human behavior modeling via eye tracking and motion capture, and adaptive interfaces. Her work bridges HCI, computer vision, and machine learning to enhance human capabilities through AI-driven systems. Awards: Meta Research PhD Fellowship (2023–2025) Heidelberg Laureate Forum Young Researcher (2024) Google Europe Students with Disabilities Scholarship (2022) Advising & Grants: Yue mentors students in areas like multimodal generative AI and seeks researchers for her group. She has received grants from FCAI, Adobe Research, and the National Science Foundation. Labs & Collaborations: Active in the Computational Behavior Lab (Aalto) and BIG Lab (CMU), she collaborates on projects like OR-Constraints for adaptive GUIs and graph-based UI modeling.

Eduardo Davalosمشاهده پروفایل

استادیار

• Large Language Models
• Human-Computer Interaction
• Artificial Intelligence for Education
• +۷ مورد دیگر

Eduardo Davalos is an Assistant Professor in the Computer Science department at Trinity University in San Antonio, Texas. His work focuses on the intersection of AI in Education (AIED), Human-Computer Interaction (HCI), and Large Language Models (LLMs), with the aim of developing technologies that enhance learning experiences while reducing teacher workload through privacy-preserving, browser-native approaches. Dr. Davalos received his academic training at: B.S. in Electrical Engineering from St. Mary's University M.S. in Electrical Engineering from St. Mary's University Ph.D. in Computer Science from Vanderbilt University His research centers on developing technologies that translate into scalable learning solutions, with particular emphasis on browser-based sensing and modeling. Dr. Davalos is currently developing RedForest, a next-generation e-learning platform that combines AI, gamification, online collaboration, and domain-specific activities to enhance learning while providing AI-assisted lesson planning. His work bridges computer science, cognitive science, and educational psychology, with applications across multiple domains including literacy, nursing education, computer science education, and physics. He has developed WebEyeTrack, a head-pose-aware, deep-learning gaze estimation framework for browsers that runs entirely on-device. Analysis of Dr. Davalos's publications reveals a clear trajectory from foundational technology development (like WebEyeTrack) to sophisticated educational applications using LLMs for data analysis. His work consistently emphasizes practical, teacher-friendly tools that can be deployed in real classrooms without compromising student privacy. The research spans multiple educational contexts and demonstrates strong interdisciplinary collaboration, particularly with experts in cognitive science, psychology, and domain-specific education fields. Dr. Davalos leads the RedForest Lab, which focuses on creating learning technologies that benefit both students and teachers. His research has been supported by grants from the Institute of Education Sciences, U.S. Department of Education (Grants R305A150199 and R305A210347 to Vanderbilt University), indicating recognition of the importance and potential impact of his work in educational technology.

Diego Gutierrezمشاهده پروفایل

استاد

• Computer Graphics
• Light Transport Simulation
• Computational Imaging
• +۵ مورد دیگر

Diego Gutierrez is a Full Professor at the Computer Science Department of the Universidad de Zaragoza, Spain. He leads the Graphics & Imaging Lab at the I3A Institute and is part of the Vision, Image and Neurodevelopment Group at the IIS Aragon Institute. His research focuses on light transport simulation, computational imaging (including non-line-of-sight imaging), virtual reality, material perception, and applied perception for medical applications (via his startup DIVE Medical). He has received the 2022 Eurographics Outstanding Technical Contributions Award and an ERC Consolidator Grant (2016). Education & Affiliations: No explicit education details provided, but he has been a visiting researcher at MIT, Stanford, Yale, UCSD, and other institutions. Research Themes: Physically-based light transport simulation (transient rendering, global illumination) Computational imaging (NLOS imaging, diffractive wave propagation) Virtual reality (user behavior modeling, multimodal perception) Material appearance representation (perceptual metrics, intuitive editing) Medical imaging (visual function assessment) Professional Contributions: Editor in Chief of ACM TAP Associate Editor for ACM TOG and Computer Graphics Forum Program Chair for international conferences Publications & Impact: Over 100 influential papers, including a breakthrough Nature paper on NLOS imaging using diffractive wave propagation. His work on transient rendering, phasor fields, and perceptual material editing has driven field advancements. Grants & Recognition: ERC Consolidator Grant (2016) for intuitive material editing research Named among the 100 most influential researchers of the decade Recipient of the 2022 Eurographics award for technical contributions Labs & Teams: Leads the Graphics & Imaging Lab (I3A Institute) and co-founded DIVE Medical for clinical visual diagnostics. His team's work bridges computer graphics with perceptual science and clinical applications.

• Tumor microenvironment
• Cancer biomarkers
• Prognostic and predictive markers
• +۵ مورد دیگر

Lars Andreas Akslen is a Professor of Pathology at the University of Bergen and Director of the Centre for Cancer Biomarkers (CCBIO), a Norwegian Centre of Excellence established in 2013. He has held these roles for decades and also serves as Senior Consultant in Surgical Pathology at Haukeland University Hospital since 1988. With over 367 publications (H-factor=77) and 35,000+ citations, Akslen is a leading figure in molecular tumor pathology. Professor of Pathology, University of Bergen (since 1993) Director, CCBIO (Norwegian Centre of Excellence, since 2013) Senior Consultant, Surgical Pathology, Haukeland University Hospital (since 1988) Akslen's research focuses on the tumor microenvironment, cancer biomarkers, and molecular tumor pathology. His work has pioneered understanding of prognostic markers, gene expression signatures, and tumor-associated angiogenesis, particularly in breast, endometrial, and prostate cancers. He established the CCBIO Research School for Cancer Studies (2013) to mentor future scientists through international courses and masterclass programs. His scientific contributions include groundbreaking studies on breast cancer dormancy via heat shock protein suppression, PI3 kinase activation in endometrial cancer, and protease-mediated tumor progression. Current research trends emphasize tumor-stroma interactions, metastasis mechanisms, and proteomics in hypoxia-induced breast cancer responses. Honorary Member, Norwegian Society of Pathology (2018) Elected Member, Norwegian Academy of Science and Letters (2013) King Olav V’s Cancer Research Award (2009) Akslen has supervised 36 PhD candidates and founded SCANPATH (2016), a Nordic academic pathology network. He has served as National Editor of APMIS (2000-2013), President of the Norwegian Society of Pathology (2008-2012), and Board Member of the Norwegian Cancer Society (2010-2018).

Di Fuمشاهده پروفایل

مدرس

• Cognitive Neuroscience (fMRI and EEG)
• Cognitive Simulation
• Human-Robot Interaction
• +۳ مورد دیگر

Dr. Di Fu is a Lecturer in Cognitive Neuroscience at the University of Surrey's Department of Psychology, part of the Faculty of Health and Medical Sciences. She leads the Digital Intelligence for Future Users (DIFU) Lab and co-leads the MSc Game Design and Digital Innovation program. Her roles include Social Media Lead for the School of Psychology and Director of the DIFU Lab. She holds a PhD and specializes in cognitive neuroscience (fMRI/EEG), cognitive simulation, human-robot interaction, crossmodal learning, and social attention mechanisms. Her research examines human-robot social interaction, particularly how robots mirroring social cues (e.g., affect and movement) influence human perception. Notably, her studies compare robotic platforms like iCub and Pepper, revealing that iCub is perceived as more human-like in affective mirroring. She also investigates control methods, finding vision-based systems outperform IMU-based ones in movement tasks. Her work spans across disciplines, blending neuroscience with robotics and AI ethics. Recent trends in her publications focus on AI applications in dementia care, pain empathy, and human-AI collaboration. She has advised PhD and MSc students on topics like social attention mechanisms and multimodal emotion recognition. Dr. Fu collaborates across institutions and has contributed to open-source tools like Wrapyfi for robotics integration. Her lab explores future user-centric technologies, emphasizing ethical AI design and human-centered interactions.

Daniel Martinمشاهده پروفایل

استادیار

• Virtual Reality
• Visual Attention Modeling
• Gaze Behavior
• +۹ مورد دیگر

Daniel Martin is an Assistant Professor at Universidad de Zaragoza, Spain, affiliated with the Graphics & Imaging Lab within the Institute of Informatics and Applications (I3A). His research focuses on computational models of visual attention and gaze behavior in virtual reality, with applications in multimodal perception, saliency prediction, and immersive content generation. Assistant Professor, Universidad de Zaragoza (2024–present) Postdoctoral Researcher, Graphics and Imaging Lab, I3A PhD in Computer Science, Universidad de Zaragoza Research Stays: Adobe Research, Meta Reality Labs Research Daniel Martin's research interests lie at the intersection of computer graphics, human perception, and machine learning. He investigates how humans perceive and interact with immersive environments, particularly focusing on visual attention, gaze patterns, and multimodal cues in virtual reality. His work spans modeling scanpaths, predicting saliency in 360° videos and 3D meshes, and understanding perceptual discomfort and change blindness in VR. His recent publications reveal a strong trend in developing data-driven and deep learning models for gaze and attention prediction, with a focus on spherical and immersive formats. He has contributed significantly to multimodal datasets and surveys, particularly in audiovisual saliency and cross-modal perception in VR. His work bridges cognitive science and computer vision, aiming to create more natural and perceptually-aware virtual experiences. SCIE-BBVA National Award for Young Computer Science Researchers (2024) CEIG 2024 Best Paper Award IEEE VR 2022 Best Journal Track Paper Award IEEE VR 2023 Best Paper Award Nominee Fulbright Predoctoral Scholarship (2022) Best PhD Thesis Award, Eurographics Spanish Chapter (EGSE) Daniel Martin has supervised and collaborated with multiple students including Edurne Bernal, Jorge Pina, Sandra Malpica, and Ana Serrano, contributing to high-impact publications and datasets. His research has been supported through prestigious grants such as the Fulbright Predoctoral Scholarship and institutional funding from Universidad de Zaragoza. He has conducted research internships at Adobe Research and Meta Reality Labs Research, indicating strong industry-academia collaboration. Daniel Martin is a key member of the Graphics & Imaging Lab at I3A, where he contributes to a vibrant research team working on cutting-edge problems in computer graphics, virtual reality, and perceptual modeling. The lab fosters interdisciplinary work combining computer vision, cognitive science, and human-centered design.