جست‌وجوی استاد و پژوهشگر

Morakot Choetkiertikulمشاهده پروفایل

مدرس

• AI-Driven Software Engineering
• Defect Prediction
• Machine Learning for Software Engineering
• +۲ مورد دیگر

Morakot Choetkiertikul is a Lecturer at the Faculty of ICT, Mahidol University, Thailand, where he co-founded the SERU research group. He earned his Ph.D. in computer science from the School of Computing and Information Technology, Faculty of Engineering and Information Sciences (EIS) at the University of Wollongong (UOW), Australia, where he worked in the Decision Support Lab (DSL). His research focuses on AI-Driven Software Engineering , particularly in defect prediction, code quality assessment, and security vulnerability analysis. His work bridges artificial intelligence with practical software development challenges, creating tools that address real-world problems in software engineering processes. The SERU research group he co-founded demonstrates a strong commitment to developing practical solutions for the software industry. Morakot's publication record from 2020-2025 shows a clear evolution from foundational defect prediction research to comprehensive tool development across multiple aspects of the software lifecycle. His work spans code proficiency analysis (PyGress, jscefr), vulnerability detection (V-Achilles, DEV-EYE), and AI applications in development processes (Autorepairability studies), with increasing emphasis on empirical validation in real-world settings. Examiners' Commendation for Outstanding Thesis Best thesis award from University of Wollongong Dr. Choetkiertikul actively contributes to the software engineering community through program committee roles at major conferences including ASE, APSEC, ICSE, and ICSME. His leadership roles have expanded from committee member to track chair and early research achievements co-chair, reflecting his growing recognition in the field. His research on autorepairability, bus factor monitoring, and code proficiency assessment demonstrates a commitment to improving both software quality and developer productivity through data-driven approaches.

• Road Safety
• Automated Vehicles
• Human Factors
• +۳ مورد دیگر

Dr Xiaomeng Li is a Senior Research Fellow at the Centre for Accident Research and Road Safety – Queensland (CARRS-Q), QUT, affiliated with the Faculty of Health and School of Psychology & Counselling. She holds a PhD in Traffic and Transportation Planning and Management from Beijing Jiaotong University. Her research focuses on road safety, automated vehicles, human factors, and driver behavior, leveraging driving simulators, VR, and physiological data acquisition systems. Key projects include the development of human-centric automated vehicles, level crossing safety interventions, and evaluating driver interactions with automated systems. She has collaborated on industry projects addressing road user acceptance of AVs, eco-safe driving systems, and work zone safety. As an associate supervisor, she contributes to PhD research on pedestrian interactions with automated vehicles. Dr Li’s work bridges engineering and psychology, emphasizing human-centric design for safer transportation systems. Education: PhD in Traffic and Transportation Planning and Management (Beijing Jiaotong University) Research Interests: Road Safety, Automated Vehicles, Human Factors, Driver Behavior, Intelligent Transport Systems Projects: XAV (eXplainable Automated Vehicle), LAARMA system, Gold Coast youth road safety messaging, AR-based driving risk reduction Expertise: Driving simulators, VR setups, eye-tracking, physiological data analysis Dr Li’s recent studies explore pedestrian-AV interactions, driver trust in HMIs, and cognitive distraction mitigation. She has published extensively on traffic safety, automated vehicle acceptance, and eco-driving behaviors, contributing to safer road user practices and policy recommendations.

• Computer Graphics
• Human-Computer Interaction
• Information Visualization
• +۹ مورد دیگر

Dr. Feng Liu serves as Professor and Chair of the Department of Informatics and Mathematics within Mercer University's College of Professional Advancement, while also coordinating the B.S. in Software Application Development and Human-Computer Interaction program. Her leadership spans curriculum development, department administration, and program coordination across multiple technical disciplines. Her academic credentials include a PhD and MS in Computer Science from Georgia State University (2005, 2000), an MBA in Business Administration from Mercer University (2010), and a BE in Automobile Engineering from Jilin University of Technology (1995). Professional certifications include a UX Certificate from Nielsen Norman Group (2016) and Interaction Design Specialization from UC San Diego, complemented by recent data analysis training through SimpliV. Dr. Liu's research program centers on Human-Computer Interaction with specialized expertise in Computer Graphics, Information Visualization, and immersive technologies including Virtual Reality, Augmented Reality, Web3D, and the Metaverse. Her work uniquely bridges technical innovation with human-centered applications, particularly focusing on user experience design, educational technology, and community impact. She has pioneered two significant educational frameworks: the Community Project Based Learning Model (CPBLM) that integrates real-world service projects into technical coursework, and the Concurrent Learning/Teaching Model (CLTM) enabling seamless online/in-person student collaboration. Recent publications (2021-2024) demonstrate her evolving research trajectory from educational technology toward ethical metaverse development, with particular emphasis on designing child-safe digital environments using AI and psychological principles. Her scholarly output spans ACM conferences, educational technology journals, and interdisciplinary publications addressing both technical innovation and social impact. Dr. Liu's teaching excellence has been formally recognized through Mercer University's 'Excellent in Teaching' award (2021) and three consecutive Teaching Innovation nominations (2017-2019). She maintains active professional engagement as Chairperson of the Web3D User Experience Working Group and through presentations at major conferences including ACM Web3D, ASCUE, and AAC&U. Her departmental leadership has driven the development of Informatics, Computer Graphics, and Data Science programs since 2011, with particular focus on serving non-traditional students through High-Impact Practices. Through her Web3D Consortium leadership and community-focused teaching model, Dr. Liu cultivates research environments where students develop technical skills while addressing real societal challenges. Her current work explores the critical intersection of emerging technologies and human well-being, positioning her at the forefront of responsible innovation in immersive digital spaces.

• Educational Technology
• Learning Support Systems
• Generative AI
• +۳ مورد دیگر

Shintaro Uchiyama serves as a Research Associate at Waseda University's Faculty of Human Sciences since April 2025. Previously, he held positions as a Part-time Lecturer at National Institute of Technology, Toyota College (2021-2024) and teaching assistant roles at Toyohashi University of Technology. His academic foundation includes Bachelor's and Master's degrees in Engineering from Toyohashi University of Technology, completed in 2020 and 2022 respectively. Bachelor of Engineering (2020), Toyohashi University of Technology Master of Engineering (2022), Toyohashi University of Technology Graduate Coursework Completed (2025), Toyohashi University of Technology Uchiyama's research focuses on educational technology innovation, particularly in generative AI applications for learning support systems and flipped classroom methodologies. His work bridges speech recognition technologies with educational applications, developing systems that enhance student engagement through immediate feedback mechanisms and annotation tools. Current projects include STEAM learning environments using XR technology and learning behavior analysis systems for correspondence high schools. His publication record demonstrates consistent output in educational technology conferences and journals, with recent work emphasizing large language models for educational feedback and mixed reality applications. Research trends show progression from foundational VR/Hololens educational tools (2018) toward sophisticated AI-driven learning systems (2023-2025), maintaining focus on practical classroom implementation. 特別研究報告会最優秀特別研究発表賞 (Toyohashi University, 2022) 優秀講演賞 (ATS2020 Symposium, 2021) Rinnai Scholarship Foundation Award (2022) Japan Student Services Organization Half-Repayment Exemption (2022) Multiple student support awards from Toyohashi University (2021-2022) Uchiyama actively contributes to educational research through JSPS-funded projects including 'Establishing STEAM learning environments utilizing generative AI' (2024-2029) and 'Learning behavior analysis for correspondence high schools' (2025-2027). His committee work includes publicity chair roles for International Conferences on Advanced Informatics. Professional memberships span the Japanese Society for Information and Systems in Education and Japan Society for Educational Technology since 2019-2020.

• Creative Coding
• Digital Imaging
• Generative Art
• +۵ مورد دیگر

Dr. Krzysztof Guzek serves as an Assistant Professor at the Institute of New Media and Composition within the Faculty of Fine Arts at the Władysław Strzemiński Academy of Fine Arts in Łódź. He directs three pioneering workshops: the Creative Coding Workshop (established 2022), Digital Image Workshop (led since 2016), and Videomapping and Augmented Reality Workshop (founded 2024), positioning him at the forefront of digital art education in Poland. His research centers on the intersection of computational methods and artistic expression, with core expertise in Creative Coding, Generative Systems, and Immersive Technologies. The Creative Coding Workshop—the first dedicated studio of its kind in Polish art academies—explores programming as an artistic medium through courses in algorithmic design, data visualization, and real-time kinetic imaging. His Digital Image Workshop investigates time-based and interactive digital imagery, while the Videomapping Studio pioneers spatial projection techniques fused with AR/VR for creating experiential installations that redefine physical-digital boundaries. Dr. Guzek mentors undergraduate students across New Media and Graphic Design programs, guiding them in developing original computational artworks through progressively complex projects. His studios foster experimental approaches to viewer interaction, multi-plane projection, and 3D spatial composition, cultivating a distinctive language of multimedia expression that transcends traditional artistic frameworks through technological innovation.

• Patient Safety
• Patient Engagement
• Human Factors Engineering
• +۴ مورد دیگر

Dr. Amro N. Khasawneh serves as Assistant Professor of Industrial Engineering in Mercer University's School of Engineering since 2022. Previously, he held faculty positions at the University of North Carolina's Department of Radiation Oncology and was a Research Fellow at Johns Hopkins University's Armstrong Institute, establishing expertise in healthcare systems engineering. His educational credentials include: PhD in Industrial Engineering from Clemson University (2019) MS in Industrial Systems Engineering from Binghamton University (2016) BSE in Industrial Engineering from Jordan University of Science & Technology (2015) Dr. Khasawneh's research centers on human factors engineering applications in healthcare , with primary focus on patient safety and patient engagement . His work integrates Virtual Reality training systems , human-robot interaction , and behavioral modeling to optimize healthcare delivery, teleoperated systems, and online decision-making environments. This interdisciplinary approach bridges engineering principles with clinical practice. His extensive publication record (>30 articles) reveals strong trends in healthcare innovation, with recent work emphasizing VR applications for mental health, telemedicine systems, and web accessibility compliance. These publications span high-impact venues including Human Factors , JMIR , and Automation in Construction , demonstrating consistent contributions to engineering healthcare solutions. Notable recognitions include: Innovation Pilot Award from UNC Chapel Hill's Center for Health Innovation (2022) Student Member with Honors from Human Factors and Ergonomics Society (2019) Multiple Graduate Student Travel Awards from Clemson University (2018-2019) Best Paper Award from IISE's Supply Chain Division (2016) Dr. Khasawneh actively mentors undergraduate researchers through Mercer's service-learning initiatives and VR projects, with numerous student co-authors on publications. His Innovation Pilot Award demonstrates successful grant acquisition for healthcare system improvements. Current projects include international collaborations in Belize through Mercer on Mission and VR meditation applications for academic stress reduction. He leads interdisciplinary teams focused on healthcare technology development, including ADA compliance evaluations for telehealth platforms and field-based bacterial testing methodologies in developing regions, reflecting his commitment to practical engineering solutions for global health challenges.

Laura Schalbetterمشاهده پروفایل

پژوهشگر

• Virtual Reality Applications in Rehabilitation
• Landscape and Urban Systems Planning
• Peri-urban Landscape Design
• +۳ مورد دیگر

Laura Schalbetter is a researcher at the Chair of Planning of Landscape and Urban Systems (PLUS) within ETH Zürich's Department of Civil, Environmental and Geomatic Engineering (D-BAUG). Her work bridges landscape architecture with cutting-edge technology through projects like REGaitVR and GLOBESCAPE , focusing on restorative environments and place-making in transformed landscapes. Education: MSc in Geomatics (ETH Zürich), BSc in Geomatic Engineering and Planning (ETH Zürich) Research interests center on virtual reality applications for gait rehabilitation, eye-tracking analysis in outdoor environments, and geospatial data integration in urban systems. Her work combines high-fidelity 3D environments with motion tracking and GIS technologies. Key publications analyze VR's role in therapeutic spaces, gaze-based interaction with geospatial interfaces, and AI-enhanced eye-tracking in landscape analysis. Recent studies examine oxygen supplementation strategies' impact on microbial communities and spatial visualization frameworks for quantum computing. Professional affiliations include: Current PhD student at ETH Zürich (since 2023) Research Assistant at PLUS (2021-2022) Student Assistant at IKG (2020) and IGP (2018-2020)

• Human-Computer Interaction
• Mixed Reality
• Augmented Reality
• +۳ مورد دیگر

David Lindlbauer is a Professor in the Human-Computer Interaction Institute at Carnegie Mellon University. His research focuses on advancing mixed reality, augmented reality, and human-computer interaction systems. He holds a PhD from TU Berlin (2018) and has authored over 60 publications in top venues like CHI, UIST, and VR. His work emphasizes adaptive interfaces, multimodal interaction, and context-aware systems. Lindlbauer collaborates widely with industry partners and academic institutions, contributing to projects like AR telepresence, haptic feedback systems, and AI-driven interface optimization. His recent efforts include exploring AI integration in everyday AR applications and developing novel techniques for spatial audio notifications. Education: PhD in Computer Science, TU Berlin, 2018 Research Interests: Lindlbauer's work bridges physical and digital worlds through innovations in mixed reality. Key areas include: Context-aware interface adaptation AR/VR interaction techniques Haptic and audio feedback systems Multimodal AI integration User-centered design methodologies Recent Trends: His publications (2020-2025) show strong focus on AI-enhanced AR systems, spatial computing, and real-world deployment challenges. Notable projects include 'Persistent Assistant' for ambient AI interactions and 'MiniMates' for constrained AR environments. Grants & Collaboration: Active in interdisciplinary projects involving computer vision, robotics, and cognitive science. Collaborators include Microsoft Research, NASA, and European XR consortia. Labs/Teams: Leads the Mixed Reality Interaction Lab at CMU, focusing on next-gen AR/VR systems and their societal impacts.

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

Uwe Gruenefeld is an active researcher at the University of Duisburg-Essen, Germany, with a strong affiliation with OFFIS - Institute for Information Technology in Oldenburg. His primary research focuses on Human-Computer Interaction, particularly in the domains of Augmented Reality, Virtual Reality, and Mixed Reality systems. As a key contributor to the field, he has published extensively in top-tier venues including CHI, UIST, and IEEE Transactions. Dr. Gruenefeld's research primarily investigates visual and haptic techniques for improving user interaction in immersive environments. His work spans across multiple application domains including health technology, educational systems, and robotics. He has made significant contributions to understanding how users interact with cross-reality systems, developing novel interaction techniques for AR/VR, and exploring behavioral biometrics for continuous authentication in immersive environments. His recent publications demonstrate a strong trend toward practical applications of AR/VR technology, with emphasis on user identification through movement patterns, improving physical activity engagement, and developing more intuitive interaction methods for complex tasks. The research consistently shows a human-centered approach with practical implementations that address real-world challenges in immersive computing. Dr. Gruenefeld actively collaborates with numerous researchers and appears to mentor several PhD and Master's students, evidenced by his frequent co-authorship with junior researchers on significant publications. His work is characterized by strong empirical validation through user studies and technical innovation in interaction techniques.

Tim McGrawمشاهده پروفایل

دانشیار

• Virtual Reality
• Scientific Visualization
• Real-Time Computer Graphics
• +۲ مورد دیگر

Tim McGraw is an Associate Professor in the Department of Computer Graphics Technology at Purdue University’s Purdue Polytechnic Institute. He specializes in virtual reality, scientific visualization, and medical image processing, with notable work on diffusion tensor MRI (DT-MRI) visualization and mesh editing in VR. He has held industry roles as a Mechanical Engineer and game developer at Electronic Arts, Schell Games, and Rainbow Studios. Education: Ph.D. in Computer and Information Science and Engineering (University of Florida), B.S. in Mechanical Engineering (University of Florida). Research interests focus on blending computational art with scientific challenges, including real-time graphics, medical imaging, and game development. His recent work explores soft-body physics simulation (e.g., Mesh Mortal Kombat) and thermal imaging analysis. Awards include 2024 Best Paper/Presentation at Motion Interaction Games and 2024 SIGGRAPH Best in Show. Grants include 3D Visualization of Molecular Dissolution (2016) and industry partnerships with NVIDIA, Eli Lilly, and Boeing. He holds four patents related to DT-MRI visualization technologies developed with Siemens Corporate Research. Labs/Teams: Leads the Interactive Graphics Technology Lab, contributing to projects like Bodygraphe (a gestural computing art installation showcased at SIGGRAPH 2016).

Bruce Luمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Computer Vision
• 3D Vision
• +۸ مورد دیگر

Bruce Lu is a Senior Lecturer in the Department of Computer Science and Software Engineering at The University of Western Australia's School of Physics, Maths and Computing. With a PhD from Zhejiang University and over two years as a Research Fellow in Singapore, he has published 110+ papers with nearly 4000 citations (h-index 32) in premier venues including IEEE TPAMI, CVPR, and NeurIPS. Education PhD, Zhejiang University Research Focus Dr. Lu's work centers on Artificial Intelligence and Visual Computing , specializing in 3D vision/graphics , VR/AR , and digital health applications . His research integrates contrastive learning and point cloud processing to solve challenges in low-quality data environments, with significant contributions to medical imaging and biometrics. Publication Trends His 2025 publications reveal a concentrated focus on 3D data processing, particularly point cloud orientation and completion. Key methodologies include dual-network architectures and mixup consistency techniques applied to face recognition and endoscopic reconstruction, demonstrating strong alignment with computer vision frontiers and medical technology applications. Honors School's Mid-Career Research Award (2025) School's Early-Career Research Award (2022) Best Paper Honourable Mention at CVM 2025 Best Paper Award at DICTA 2024 Research Leadership As Associate Editor for IEEE TMM and TNNLS, Program Chair for CASA 2024/ICVR 2023-2025, and Area Chair for CVPR/NeurIPS/ICLR, Dr. Lu actively shapes the computer vision community. He currently supervises PhD students and has secured $$1.5$$ million through: ARC Discovery Projects ARC Research Hub Projects Industry partnerships State government grants Collaborative Impact His international network spans 10+ institutions, driving innovations in digital health and sustainable computing aligned with UN SDG goals for industry advancement and health technology.

• Human-Robot Interaction (HRI)
• Cognitive Neuroscience
• Neuroimaging
• +۳ مورد دیگر

Ekaterina Torubarova is a doctoral student at KTH Royal Institute of Technology's Division of Speech, Music and Hearing. Under the supervision of André Pereira, her research focuses on conversational engagement in Human-Robot Interaction (HRI), combining neuroimaging and machine learning to study brain processes during human-robot interactions. She holds a joint master's degree in Cognitive Neuroscience from CIMeC (Trento, Italy) and SISSA (Trieste, Italy). Education: PhD Candidate in Speech, Music and Hearing (KTH Royal Institute of Technology, 2022–present) Joint Master's in Cognitive Neuroscience (CIMeC & SISSA, 2020–2022) Research Interests: Cognitive-inspired approaches to HRI, fMRI analysis of conversational dynamics, neural correlates of interaction, and multimodal datasets for understanding human-robot communication. Publications Overview: Her work explores brain activity patterns during conversation, HRI dynamics, and the application of neuroimaging techniques to study social interactions. Recent studies include the NeuroEngage dataset integrating multimodal fMRI for analyzing engagement metrics in human-robot interactions. Advising/Grants: Currently advised by Prof. André Pereira. No grant details provided in text. Labs/Teams: Active member of the Speech, Music and Hearing division at KTH, contributing to interdisciplinary research on cognitive science and robotics.

Jonggi Hongمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Accessibility Technologies
• Artificial Intelligence
• +۳ مورد دیگر

Jonggi Hong is an Assistant Professor in the Department of Computer Science at Stevens Institute of Technology, affiliated with the Charles V. Schaefer, Jr. School of Engineering and Science. He holds a PhD from the University of Maryland (2021) and MS/BS degrees from KAIST (2014/2012). His research focuses on accessibility technologies, human-computer interaction (HCI), and AI applications, particularly addressing challenges for visually impaired users through machine learning and assistive systems. He has conducted research at Microsoft Research, Adobe Research, and the Smith-Kettlewell Eye Research Institute. His work explores user-system interactions via quantitative and qualitative methods, including studies on speech/image recognition errors, VR training for blind photography, and wearable haptic interfaces. Key projects include teachable object recognizers for non-experts and error detection in digital content. Hong serves as a Workshop Chair and Program Committee member for the ACM SIGACCESS ASSETS conference, promoting inclusive design principles in technology. Publications span venues like CHI, ASSETS, and W4A, emphasizing real-world accessibility solutions. His grants and advising activities are not explicitly listed, but he leads research on assistive machines, inclusive design, and AI-infused systems. Hong actively contributes to professional societies like ACM and maintains affiliations with labs such as the Intelligent Assistive Machines Lab.

• Virtual Reality
• Augmented Reality
• Artificial Intelligence
• +۳ مورد دیگر

Professor Wen Tang is a leading academic in Digital Games Technology at Bournemouth University, appointed as Professor in 2016. She holds a PhD in Computer Science from the University of Leeds, UK, with prior roles as a Research Fellow at Leeds and Bradford Universities. Her expertise spans Virtual Reality (VR), Augmented Reality (AR), AI, and medical applications, focusing on surgical robotics and endoscopy. She leads major research projects, including the Horizon-MSCA-2024-IP-01-01:3D-Intel Surgery initiative starting in 2025. Her research integrates VR/AR algorithms, AI-driven medical imaging, and robotics. Notable grants include EPSRC, Innovate UK, EU H2020, and Royal Academy of Engineering funding, totaling over £2 million. She serves on the EPSRC Peer Review College and has published extensively in journals like IEEE Transactions on Medical Imaging and Neurocomputing. Key projects include developing interactive surgical simulation tools, point cloud registration methods, and gamified health interventions. Her work aligns with UN SDGs for Quality Education, Decent Work, and Sustainable Innovation. Future work emphasizes 3D medical visualization and healthcare technology integration. Publications highlight advancements in medical image fusion, AI for surgical robotics, and VR safety training. She collaborates widely, mentoring teams in digital health and extended reality applications.

Sol Limمشاهده پروفایل

استادیار

• Human Factors Engineering
• Ergonomics
• Wearable Technology
• +۵ مورد دیگر

Sol Lim is an Assistant Professor in the Department of Industrial and Systems Engineering at Virginia Tech, affiliated with the College of Engineering. He holds roles as Co-Director of the Occupational Ergonomics and Biomechanics (OEB) Laboratories and Core Faculty at the Occupational Safety and Health Research Center (OSHRC). Lim's research focuses on assessing human motion through wearable sensing technologies, biomechanics, and data analytics to improve workplace safety and accessibility for vulnerable populations, including individuals with mobility impairments. His work emphasizes interventions to reduce occupational injuries and enhance environmental accessibility. Lim's education includes a Ph.D. in Industrial and Operations Engineering from the University of Michigan (2019), complemented by a Graduate Certificate in Data Science. He also holds an M.S. in Biomedical Engineering (University of Michigan), an M.S. in Industrial Engineering (Seoul National University), and a B.S. in Clothing and Textiles (Yonsei University). Research interests include wearable technology integration, predictive modeling of human movement risks, and ergonomic interventions. Notable projects involve vibrotactile feedback systems for posture correction, analysis of forklift training in VR environments, and development of accessible yoga instruction tools for visually impaired users. Lim has received the Best Student Paper Award (HFES, 2019) and leads collaborative projects with industry partners to advance human-robot collaboration in manufacturing. His lab actively explores contextual-aware systems like sit-stand desks to promote healthy behaviors. Current research also addresses cognitive workload assessment in teleoperator-robot-human teams and barriers to online exercise programs for older adults. Lim advises graduate and undergraduate researchers in industrial engineering and related fields. His lab is part of Virginia Tech's Faculty of Health Sciences and collaborates with the Center for Human-Computer Interaction (CHCI).