جست‌وجوی استاد و پژوهشگر

Leah Chongمشاهده پروفایل

استادیار

• Human-AI Collaboration
• AI-Assisted Decision-Making
• Artificial Empathy
• +۳ مورد دیگر

Leah Chong is an Assistant Professor in the Walker Department of Mechanical Engineering at the University of Texas at Austin. She holds a BS from Rice University (2017), MS and PhD from Carnegie Mellon University (2020-2022), and previously worked as a postdoctoral associate at MIT's Ideation Lab. Her research focuses on human-AI collaboration in engineering design, exploring how computational tools impact designer cognition and creativity, and developing frameworks for effective human-centered design. Education: Bachelor of Science in Mechanical Engineering, Rice University (2017) Master of Science in Mechanical Engineering, Carnegie Mellon University (2020) Doctor of Philosophy in Mechanical Engineering, Carnegie Mellon University (2022) Research Interests: Dr. Chong investigates AI-assisted decision-making, artificial empathy in design, and qualitative design methodologies. Her work combines computational modeling with human-subject experiments to understand how AI integration influences design processes, creativity, and decision-making. Key themes include trust dynamics between humans and AI, confidence calibration, and optimizing collaborative workflows. Awards: ASME Design Theory and Methodology Best Paper Award Carnegie Mellon's Milton Shaw Ph.D. Research Award Carnegie Mellon Presidential Fellowship Research Group: Dr. Chong leads a team exploring cutting-edge topics like LLM-based empathic inference and CAD-prompted generative models. She actively seeks motivated students (undergraduate, MS, PhD) to join her lab, emphasizing innovative research ideas and alignment with her focus areas.

Christopher McCombمشاهده پروفایل

دانشیار

• Sociotechnical Systems
• Machine Learning for Engineering Design
• Human-AI Collaboration
• +۱۷ مورد دیگر

Christopher McComb is an Associate Professor in the Department of Mechanical Engineering at Carnegie Mellon University's College of Engineering. He leads research in sociotechnical systems, machine learning for engineering design, and human-AI collaboration. He is affiliated with the Block Center for Technology and Society, Manufacturing Futures Institute, NextManufacturing Center, and Wilton E. Scott Institute for Energy Innovation. Previously, he was an assistant professor at Penn State, where he directed the Center for Research in Design and Innovation and led the Technology and Human Research in Engineering Design Group. Ph.D., Mechanical Engineering, Carnegie Mellon University M.S., Mechanical Engineering, Carnegie Mellon University B.S., Civil Engineering and Mechanical Engineering, California State University-Fresno His research centers on human-AI teaming , sociotechnical systems , and computational design , with applications in additive manufacturing, STEM education, and energy systems. He explores how machine learning can enhance engineering design processes, particularly through human-centered AI, generative design, and agent-based modeling. His work emphasizes the integration of human cognition and behavior into AI systems to improve collaboration and innovation. The 15 most recent publications (2025) demonstrate a strong trend in AI-driven design automation , neural surrogate modeling , human-AI interaction , and data generation for engineering simulations . Topics span from using large language models for material selection and design concept generation to developing datasets and benchmarks for advanced manufacturing and CAD systems. There is a clear emphasis on real-world applications in aerospace, finance, and global manufacturing, particularly in Africa. National Science Foundation Graduate Research Fellow McComb has received research funding from NSF, DARPA, and private corporations, and has collaborated with Boeing through their Visiting Professorship Program. He advises students in mechanical engineering and design, and leads the Human+AI Design Initiative and the Design Research Collective. His research has been applied in partnerships with NASA and in addressing manufacturing challenges in Africa. He leads or contributes to interdisciplinary research teams focused on AI in design, additive manufacturing, and energy systems. His labs and initiatives include the Human+AI Design Initiative and the Design Research Collective, which foster collaboration between human-centered design and artificial intelligence.

• Computer Graphics
• Human-Computer Interaction
• Geometric Modeling
• +۵ مورد دیگر

Carlo H. Séquin is a Professor of Computer Science in the EECS Department at the University of California, Berkeley. He is affiliated with the Graphics (GR) and Human-Computer Interaction (HCI) research areas, and associated with the Berkeley Center for New Media (BCNM), Berkeley Institute of Design (BID), CITRIS, and the Visual Computing Lab (VCL). His research focuses on geometric modeling, artistic geometry, mathematical visualizations, and CAD tools. Education: Ph.D. in Experimental Physics (1969), University of Basel, Switzerland. Past Roles: Head of Computer Science Division (1980–1983), co-inventor of RISC architecture with David Patterson. His work spans computer graphics, VLSI design, and the intersection of art and mathematics. He has pioneered functional optimization for surface design and contributed to CCD technology at Bell Labs. Séquin's awards include the Berkeley Citation (2016), ACM Fellow (1997), and teaching excellence awards. He advises students in Ph.D. and M.S. programs, as seen in his Ph.D. alumni list . His research is supported through CITRIS and other institutional collaborations. Séquin's artistic projects, such as mathematical sculptures and architectural designs, bridge engineering and art, exemplified by his work on the Pillar of Engineering and Twisted Tori .

• Photogrammetry
• 3D Reconstruction
• Image Processing
• +۷ مورد دیگر

Krzysztof Skabek is an Assistant Professor at the Department of Computer Science, Faculty of Computer Science and Telecommunications, Krakow University of Technology. His research focuses on photogrammetry, 3D reconstruction, computational geometry, and their applications in architecture, medicine, and cultural heritage preservation. Specializes in LiDAR and photogrammetric data fusion Develops algorithms for 3D surface modeling and mesh optimization Applies geometry techniques to biomedical devices (e.g., occlusal splints) Active in virtual reality systems and forensic documentation His work emphasizes accuracy verification, sensor integration (iPad LiDAR, low-cost scanners), and cross-disciplinary applications in heritage preservation and orthodontics. Bibliometric metrics include an h-index of 4 (Scopus/WoS), total impact factor 3.9, and ministerial score of 750. No teaching or leadership roles mentioned beyond his faculty position. Email: kskabek@pk.edu.pl

• Mechanical Engineering
• Systems Engineering
• Multi-disciplinary Optimization
• +۷ مورد دیگر

John Salmon is an Associate Professor in the Mechanical Engineering department at Brigham Young University's College of Engineering. He holds a B.S. and M.S. in Electrical Engineering from the University of Calgary and Utah State University respectively, followed by an M.S. and Ph.D. in Aerospace Engineering from Georgia Institute of Technology. Prior to his academic career, he worked for four years as a Research Engineer at the Aerospace Systems Design Laboratory collaborating with industry and government partners including NASA, Lockheed Martin, and General Electric. His research spans multiple interdisciplinary domains including: systems engineering and design integration, multi-disciplinary optimization, operations research, visual and data analytics, modeling/simulation, multi-agent decision making, sports analytics, virtual reality, and uncertainty analysis. Current projects include the Good Idea or Bad Idea initiative exploring innovative engineering solutions. Analysis of his recent publications reveals strong focus on three primary clusters: (1) Human-robot collaboration and soft robotics control strategies, (2) Optimization techniques for autonomous aerial systems, and (3) Data-driven sports analytics frameworks. His work consistently combines theoretical modeling with practical applications in aerospace, robotics, and sports engineering. Dr. Salmon maintains an active advising program with 4 current MS students (Jonathan Sadler, Carsten Christensen, Landon Willey, Ryan Day) and 10 graduated advisees since 2016. He teaches core mechanical engineering courses including ME 273 (Scientific Computing), ME 335 (Dynamic Systems), ME 578 (CAD/CAM), and ME 579 (Global Product Development).

• Sculpture
• Wood Art
• Spatial Representation
• +۳ مورد دیگر

Peter Jellitsch is a Lecturer at the Academy of Fine Arts Vienna, affiliated with the Department of Fine Arts. He is actively involved in teaching courses focused on the technical aspects of sculpture and spatial representation techniques in the Summer Semester 2025. His research and teaching interests lie at the intersection of traditional sculptural practices and digital representation tools. Key areas include: Technical foundations of wood-based sculpture Computer-Aided Design (CAD) in artistic spatial modeling Methods of visual and structural representation in art The available data does not include any recent publications; therefore, no article trend analysis can be performed. However, his instructional focus suggests a strong applied and technical orientation within fine arts education. He has not been mentioned as receiving any scientific awards. Peter Jellitsch is actively contributing to academic instruction, particularly in foundational and technical courses. There is no information available regarding graduate student supervision or external research grants. He is associated with teaching activities within the core curriculum of the Department of Fine Arts, particularly in technical training modules for sculptural practice.

• Computer Vision
• Artificial Intelligence
• Machine Learning
• +۳ مورد دیگر

Sven Dickinson is a Professor in the Department of Computer Science at the University of Toronto, where he has held roles such as Chair (2010-2015) and Acting Chair (2008-2009). He also served as Vice President and inaugural Head of the Samsung Artificial Intelligence Research Center in Toronto (2018-2024). His academic journey includes positions at Rutgers University and affiliations with MIT, University of Maryland, and others. Education: B.A.Sc. in Systems Design Engineering, University of Waterloo (1983) M.S. and Ph.D. in Computer Science, University of Maryland (1988, 1991) Research Interests: Focuses on object recognition, shape perception, and the integration of human and computer vision. Key areas include generic object recognition, shape abstraction, symmetry detection, and multiscale part-based representations. His work bridges low-level image features and high-level shape models, emphasizing mid-level shape priors and perceptual grouping. Awards and Honors: NSF CAREER Award (1996) Ontario Premiere's Research Excellence Award (2002) Lifetime Research Achievement Award from CIPPRS (2012) Fellow of IEEE and IAPR Contributions: Co-edited influential volumes like Object Categorization: Computer and Human Vision Perspectives (2009) and Shape Perception in Human and Computer Vision (2013). Served as Editor-in-Chief of the IEEE Transactions on Pattern Analysis and Machine Intelligence (2017–2021), and on multiple editorial boards. Active in organizing workshops and conferences, including CVPR 2014 and WACV 2019. Labs and Collaborations: Involved with the Vector Institute for Artificial Intelligence, and has collaborated on projects in artificial intelligence, robotics, and vision-based applications for accessibility and navigation.

• Computational Terminology
• Natural Language Processing
• Corpus Linguistics
• +۴ مورد دیگر

Patrick Drouin is a Professor and Department Director at the Université de Montréal , based in the Faculté des arts et des sciences and the Departement de linguistique et de traduction . His research focuses on computational terminology, corpus linguistics, and the automatic acquisition of specialized lexicons. He leads major projects like the NÉONUM initiative for monitoring Quebec French neology and the Lexique entre humains et machines team exploring human-machine lexical interactions. Teaching: He teaches advanced terminology (TRA-3455), localization workshops (TRA-6301), and directs programs in Linguistics and Translation at both undergraduate and graduate levels. Over 10 PhD and Master's students have been supervised by Drouin since 2007, focusing on topics like semantic shifts, terminological evolution, and corpus-based lexicography. Research Projects: Co-leads interdisciplinary teams funded by FRQSC and SSHRC, including studies on morphophonological variation via Twitter data, transdisciplinary vocabulary for primary education, and the historical analysis of terminology in translation studies. Key contributions include the SyllabO+ corpus and the QC-FR-Diac-V1 semantic shifts dataset. Grants: Secured over CAD 2M in funding for projects like Twitter-MPhon (2021–2025) and Lexiques nucléaires (2019–2025), emphasizing computational methods in linguistic research. Labs/Teams: Active in the Equipe SE (Lexical Studies) and collaborates with institutions like IRIC for biology-informatics interfaces. His work bridges theoretical linguistics with applied technologies for terminology management and language education.

Yigit Yaziciogluمشاهده پروفایل

استاد

• Solid Acoustics
• Structural Vibrations
• Bioacoustics
• +۶ مورد دیگر

Yigit Yazicioglu is a Professor of Mechanical Engineering at Middle East Technical University (METU). He holds a Ph.D. from the University of Illinois at Chicago and has been affiliated with METU since 1997, progressing through roles including Lecturer, Assistant Professor, Associate Professor, and his current rank since 2021. His research focuses on solid acoustics in structural and bioacoustic applications, control systems, robotics, and automotive engineering. He has supervised numerous graduate students and led projects funded by TUBITAK, including work on legged robotics, fluid-structure interactions in biomedical contexts, and advanced control systems. Education: Ph.D. Mechanical Engineering (UIC, 2005), M.S. and B.S. from METU (1999, 1997). His teaching spans dynamics, control systems, and robotics courses. Recent research highlights include acoustic detection of vascular obstructions and compliant robotic leg design. He has contributed to over 30 peer-reviewed journal articles and supervised 20+ theses, with ongoing work in non-invasive medical diagnostics and advanced robotics. Key Projects: Low-power legged robot mobility (2018–2022) Acoustic-visual perception for legged robots (2010–2013) Electro-hydraulic control systems development (2007–2010) His academic contributions include pioneering work in bioacoustic signal analysis and robotic locomotion control, with applications in both engineering and biomedical fields. Current research emphasizes interdisciplinary approaches to solve complex problems in robotics and medical diagnostics.

Craig Abbeyمشاهده پروفایل

پژوهشگر

• Medical Imaging
• Human Visual System
• Biomedical Engineering
• +۳ مورد دیگر

Dr. Craig Abbey is a Researcher at the University of California, Santa Barbara (UCSB), affiliated with the Vision and Image Understanding Lab. His work focuses on optimizing medical image analysis through mathematical modeling of human visual perception and engineering parameters like image processing algorithms. He held prior roles including Assistant Professor at UC Davis Biomedical Engineering and postdoctoral fellowships in Medical Physics. Abbey’s research integrates computational models with experimental psychophysics to improve medical imaging applications, particularly in breast cancer screening and CT/SPECT imaging. Educations: PhD in Applied Mathematics (University of Arizona, 1998) Research interests center on how visual tasks (e.g., lesion detection) are influenced by image noise textures, display engineering, and visual adaptation effects. He explores AI-driven tools for enhancing radiologist performance and developing anthropomorphic model observers that replicate human visual search strategies in 3D medical imaging. Recent work addresses sequential reading effects in mammography, non-Gaussian noise properties in CT, and deep learning-based denoising techniques for SPECT/CT. His studies highlight practical applications like optimizing screening protocols and improving diagnostic accuracy through adaptive image ordering. Labs/Teams: Vision and Image Understanding Lab at UCSB.

• Computer-Aided Design (CAD)
• Graphic Engineering
• Educational Technology
• +۴ مورد دیگر

Pedro Ignacio Álvarez Peñín is a Professor at the University of Oviedo, Department of Construction and Manufacturing Engineering, specializing in Graphic Expression in Engineering. His research focuses on Computer-Aided Design (CAD), educational technology, and applications of graphic engineering. He has directed four doctoral theses and actively contributes to academic conferences and publications. Notable projects include the development of platforms like DIBUTEC and Selfcad, which enhance interactive learning in CAD and engineering graphics. His work integrates CAD with medical imaging for surgical simulations and explores BIM technology in industrial education. He has collaborated extensively on projects addressing curriculum adaptation to European standards and modernizing technical drawing education through multimedia and web-based tools. Institutions: University of Oviedo (1988–present) Education: Ph.D. in Graphic Design Systems from the University of Oviedo (1988). Research Interests: CAD in education, interactive learning systems, BIM technology, medical imaging applications, graphic engineering pedagogy, and software integration for engineering projects. He emphasizes practical applications of CAD tools in both academic and industrial contexts. Articles Trends: His work spans CAD education, software development for engineering documentation, and the integration of technology into teaching. Recent projects highlight cross-platform tools (e.g., DIBUTEC), mobile applications for energy simulation, and BIM-based industrial training. Earlier contributions explored algorithmic approaches to CAD systems and 3D modeling for surgical planning. Directed Theses: Bernardo Busto Parra (2016): Industrial project management with ICT. Pablo Pando Cerra (2006): 3D CAD learning environments. Ramón Rubio-García (2003): Modular CAD applications. Maximo Roman Perez Morales (2002): Descriptive geometry teaching tools. Grants/Projects: Multiple collaborations on EU-funded educational technology initiatives and graphic engineering research. Labs/Teams: Part of the University of Oviedo’s Graphic Engineering research group, focusing on CAD integration and educational innovation.

Constance Richterمشاهده پروفایل

استاد

• Human-Centered Design
• User Experience (UX)
• Information Design
• +۱۲ مورد دیگر

Professor Dr. Constance Richter is a faculty member at Aalen University, affiliated with the Faculty of Optics and Mechatronics and the Human Centricity department. She serves as Vice Dean and Dean of Studies, demonstrating significant academic leadership. Her work spans teaching, research supervision, and applied projects in human-centered design and user experience. Her research interests lie at the intersection of human-computer interaction, information design, and digital transformation. She focuses on user experience in automotive interfaces, virtual reality for education, AI in technical communication, and organizational UX maturity. Her work emphasizes practical application, often in collaboration with industry leaders like Porsche, Bosch, and Mercedes-Benz. The supervised theses reflect a strong trend toward applied research in adaptive interfaces, usability, digital twins, and immersive technologies. Her publications, inferred from thesis titles and abstracts, span topics from VR learning environments to AI integration in product development, indicating a multidisciplinary and industry-relevant research profile. Scientific Awards: No awards mentioned in the provided text. She actively supervises numerous bachelor's and master's students, guiding research in UX, technical communication, and digital innovation. Her projects often involve prototyping, user testing, and real-world implementation, supported by industry partnerships. She is involved in educational innovation, including hybrid learning and virtual workspaces. She leads and contributes to initiatives in digital transformation, including the development of digital mindsets, lean UX practices, and the use of VR in academic settings. Her work extends to organizational change, as seen in projects on becoming UX-driven companies and adapting to post-pandemic work environments.

• Visualization
• Computer Graphics
• Human-Computer Interaction
• +۲ مورد دیگر

Dr. Yingcai Xiao is an Associate Professor in the Department of Computer Science at the University of Akron's College of Engineering and Polymer Science. He joined the university in 1995 after working as a Software Scientist at Intergraph. Education: Ph.D. in Computer Science, Ph.D. in Physics, M.S. in Mathematics Dr. Xiao's research focuses on Visualization , Computer Graphics , Human-Computer Interaction , and their applications in Video Game Design and Numerical Simulation . His work bridges theoretical computing with practical solutions in education, healthcare, and engineering design. His publications from 2006–2008 highlight expertise in open-source learning platforms (e.g., Sakai), virtual surgical systems using fuzzy logic, and distributed 3D CAD systems. These contributions reflect interdisciplinary interests in educational technology, medical simulation, and internet-based systems. Scientific Awards: Co-PI on NSF Grant: Interactive Learning to Stimulate the Brain's Visual Center and to Enhance Memory Retention Dr. Xiao has served as Program Chair for the International Conference on Computer Graphics, Visualization, Computer Vision, and Image Processing (2007–2021), demonstrating sustained leadership in his field. He has also co-authored a chapter in Biologically-Inspired Computing for the Arts: Scientific Data through Graphics , expanding his impact into arts-oriented computational methods.

• Interior Design
• Interactive Design
• Physical-Digital Interactivity
• +۱۲ مورد دیگر

Joe Ravenhill is a Lecturer in Interior Design at the University of the West of England (UWE Bristol), affiliated with the Department of Creative and Cultural Industries within the Faculty of Arts, Creative Industries and Education. His work bridges creative practice and academic teaching, with a strong focus on interactive, human-centered design experiences that integrate physical and digital elements. His expertise lies in concept generation, exhibition design, CAD, visualization, and sustainable design communication. He actively collaborates with institutions such as the Global Goals Centre and engages in interdisciplinary projects involving VR, archaeology, and photography. His teaching emphasizes ideation, interactivity, and sustainability. Joe is a proud Bristolian and advocate for local cultural initiatives, having created notable public installations including a giant octopus for Bristol Aquarium and an immersive flight gallery at Bristol Museum. Through his company 2feetbelow Ltd, he has developed a practice centered on creating engaging spaces where people can have fun and learn. He is passionate about connecting students with industry opportunities and enhancing graduate employability through real-world design networks. He holds a BA (Hons) in Furniture and Product Design and is a Fellow of the Higher Education Academy (FHEA). His research interests include physical-digital interactivity, diversity in design, and sustainable communication. While no scientific awards are listed, his contributions to public-facing design and community engagement reflect a commitment to impactful, experiential design. Joe contributes to labs and teams focused on interactive design, VR applications in heritage, and sustainable design communication. He is involved in initiatives that promote design thinking for global challenges, particularly through the Global Goals Centre. His work supports interdisciplinary collaboration across art, technology, and social impact.

Ozge Gulمشاهده پروفایل

مدرس

• Interior Architecture
• Design Education
• Computer-Aided Design
• +۲ مورد دیگر

Dr. Ozge Gul is a Lecturer in Interior Architecture at the London School of Film, Media and Design, University of West London. With a background in industrial product design and interior architecture, she specializes in design education, computer-aided design, and studio-based pedagogy. Bachelor’s in Industrial Product Design (Istanbul Technical University, 2008) MSc in Interior Architecture & Environmental Design (2011) PhD in Interior Architecture (2016), focusing on design education methodologies Her academic career includes leading undergraduate modules in Furniture Design, CAD, and Design Studios since 2011. She has also held administrative roles such as Bologna Coordinator and Module Management System Coordinator. Professionally, she worked as an International Technical Specialist at HMY Group/Teknogon (2007–2019), developing shop-fitting solutions, and as a Visual Merchandiser at Atasay Jewellery, designing retail interiors for 120 stores nationwide.