جست‌وجوی استاد و پژوهشگر

Andy Yeمشاهده پروفایل

دانشیار

• Field-programmable gate array (FPGA) architectures
• Computer-Aided Design (CAD) tools for FPGAs
• Logic synthesis
• +۵ مورد دیگر

Dr. Andy Ye is an Associate Professor in the Department of Electrical, Computer, and Biomedical Engineering at Ryerson University, where he conducts research and teaches courses in advanced digital systems. Education : PhD (2004), MASc (1999), and BASc (1996) from the University of Toronto Research Interests focus on: Field-programmable gate array (FPGA) architectures Computer-Aided Design (CAD) tools for FPGAs and VLSI Logic synthesis and hardware implementation Digital communication algorithms and computer vision systems Publication Trends demonstrate expertise in FPGA area modeling, motion estimation architectures, and VLSI design optimization across multiple IEEE and ACM venues. Scientific Achievements : Best Paper Award (2016) at International Conference on Field Programmable Logic and Applications Teaching Contributions include graduate-level FPGA design (EE 8219), low-power digital circuits (ELE 734), and fundamental network theory (ELE 302). He maintains active supervision availability for students.

• Rapid Prototyping
• Digital Fabrication
• Entrepreneurship
• +۷ مورد دیگر

Ian Roy serves as the Executive Director of Design and Innovation and the Robert I. Mallet Senior Lecturer in Engineering at Brandeis University. He holds a faculty appointment in the Engineering department and collaborates with the Senior Leadership team in the Brandeis Library. Roy teaches courses in Business, Engineering, and Anthropology, and leads the Brandeis Design and Innovation department (BDI), which manages multiple maker spaces and provides cutting-edge technology services to support teaching, learning, and research across campus. Education: Brandeis University, B.A. in Philosophy and Economics with a concentration in Film Studies (2005) Roy's research and professional work centers on digital fabrication, rapid prototyping, and the integration of emerging technologies in education and social impact initiatives. His expertise includes 3D printing, laser cutting, CNC milling, 3D scanning, robotics, drone technology, and design thinking. He emphasizes the policy implications of technology deployment and applies these skills to foster entrepreneurship and social innovation, notably through the DeisHacks social impact hackathon. Scientific Awards: No scientific awards were mentioned in the provided text. Roy actively mentors students through multiple channels. He is the staff advisor for Deis3D.org (the Brandeis 3D printing club), the Brandeis Aviation Club, and the Brandeis Prosthesis Club. He co-founded the DeisHacks hackathon and teaches several courses that involve hands-on project development, guiding students in rapid prototyping and entrepreneurship. His teaching spans the Brandeis International Business School, the Engineering department, and the Anthropology department. Roy leads the Brandeis Design and Innovation (BDI) department, which operates the Brandeis MakerLab, Automation Lab, Digital Scholarship Lab, 3D Printer Farm, and the Engineering Classroom. The BDI team provides comprehensive support for CAD/CAM workflows, 3D scanning, data visualization, GIS, XR development, machine learning, robotics prototyping, and drone use (including FAA 107 licensing). BDI's services enable faculty and students to incorporate emerging technologies into their academic and research activities.

• Architecture
• History and Theory of Architecture
• Cultural Landscapes
• +۷ مورد دیگر

Alessandra Ponte is a full professor at the École d’architecture of Université de Montréal. She has held teaching positions at Princeton University, Cornell University, Pratt Institute, ETH Zurich, and Istituto Universitario di Architettura di Venezia. Her research focuses on architecture's relationship with environment, mapping, and information systems, particularly in extreme landscapes and post-industrial contexts. Collaborated on CCA exhibitions: Environnement Total: Montréal 1965-1975 (2009) and God & Co: François Dallegret, Beyond the Bubble (2011-2014) Authored The House of Light and Entropy (2014) and Architecture et Information 2.0 series (2017-2020) Led research projects: Mining infrastructures in Québec (2014-2016), Architecture and Information 2.0 (2017-present), and Claiming the Planet: Post-Industrial Design Experiences (2020-2022) Her current work examines machine-generated spatial representations through drones, autonomous vehicles, and AI mapping systems. This research challenges traditional horizon-based aesthetics and explores non-human territorialization processes. Publications analyze how digital technologies reshape architectural practice and environmental understanding. She has contributed to journals like Landscript , Annals of Architectural Research , and New Geographies . Her students' research includes topics like Tunisian urban modernization, architectural branding, and digital mapping systems. She co-edited the book God & Co: François Dallegret, Beyond the Bubble (2011-2014).

Farida Cherietمشاهده پروفایل

استاد

• Biomedical technology
• Artificial intelligence
• Medical imaging
• +۴ مورد دیگر

Dr. Farida Cheriet is a Full Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal . She serves as Director of the 4D Imaging and Vision Laboratory (LIV4D) and holds membership in the Institute of Biomedical Engineering and the Institute for Data Valorization (IVADO) . Her research spans medical imaging , biomedical technology , artificial vision , and 3D movement estimation . Ph.D. (Montreal), DEA (France), Ing. (Algeria) Her work focuses on interpretable AI models for retinal pathology diagnosis, 3D anatomical reconstruction from medical imaging, and automated segmentation of vascular and spinal structures. She leads innovations in deep learning applications for diabetic retinopathy screening, coronary artery analysis , and spine surgery planning . Recent publications highlight her leadership in computer vision for biomedical applications, with 15 featured articles covering ICU readmission prediction, retinal vessel analysis, dental crown design, and spinal ultrasound processing. She received CFI funding (2021) for cutting-edge facilities and collaborates on pan-Canadian ophthalmic image databases (2018). Dr. Cheriet has supervised 28 Ph.D. students and 46 Master's students in biomedical computing, including projects on scoliosis analysis, retinal imaging, and cardiac MRI. Her teaching includes digital communications and computer graphics courses.

Tomás Dortaمشاهده پروفایل

استاد

• Virtual and Augmented Reality
• Co-design and Collaborative Design
• Interaction Design
• +۴ مورد دیگر

Tomás Dorta is a Full Professor at the School of Design, Université de Montréal, and holds an affiliate professorship at Penn State University's Stuckeman School. He specializes in virtual and augmented reality, co-design, and design cognition. His academic roles include directing the Hybridlab research laboratory and serving on editorial boards for journals like CoDesign . He co-founded Hybridlab Inc., a startup focused on design technologies. Affiliations: Université de Montréal (since 1997), Penn State (since 2021), and over 20+ international collaborations. Education: PhD (2001), M.Sc. (1994), Architecture (1991). Research Focus: Hybrid virtual environments, collaborative design tools, and immersive technologies like Hyve-3D. His work bridges design education, innovation, and industry, with funded projects exploring design cognition and co-design methodologies. Notable awards include recognition for teaching and entrepreneurship. He advises over 20 graduate students and has published extensively in design and computer science conferences (e.g., SIGGRAPH, eCAADe).

Joe D. Warrenمشاهده پروفایل

استاد

• Computer Graphics
• Geometric Modeling
• Computational Geometry
• +۳ مورد دیگر

Joe D. Warren is a Professor of Computer Science at Rice University, where he has served since 1986. His research focuses on computer graphics, geometric modeling, and computational geometry, with notable contributions to subdivision surfaces, as detailed in his book Subdivision Methods for Geometric Design . He also explores bioinformatics applications, including 3D modeling of mouse brain gene expression and lung motion analysis from 4D CT scans. Additionally, Warren teaches courses in computer game design and introductory programming, co-developing award-winning Coursera specializations. He earned his Ph.D. from Cornell University and previously served as Department Chair (2008-2013). Education: B.Sc. (Rice University, 1983), Ph.D. (Cornell University, 1986) Research Collaborators: Baylor College of Medicine, MD Anderson Cancer Center, Texas A&M Teaching: COMP460 (Game Design), COMP110 (Introductory Computing) His work on the GRACE tool (Graphical Ruler and Compass Editor) won the 1998 Quest for Java award. He has advised PhD students now at Washington University and Texas A&M. Current projects include game prototyping with Pi Studios and lung motion modeling for medical diagnostics.

Vaughn Betzمشاهده پروفایل

استاد

• Field-Programmable Gate Arrays (FPGAs)
• Computer-Aided Design (CAD)
• Hardware Acceleration
• +۴ مورد دیگر

Vaughn Betz is a Professor in the Department of Electrical and Computer Engineering at the University of Toronto, Faculty of Applied Science and Engineering. He is also a Distinguished Visiting Professor at Cerebras Systems and Faculty Affiliate at the Vector Institute for Artificial Intelligence. His research focuses on creating efficient programmable hardware (FPGAs), computer-aided design (CAD) programs to optimize hardware systems, and hardware accelerators for compute-intensive applications like deep learning. He developed the widely used VPR FPGA CAD flow and co-founded Right Track CAD, acquired by Intel/Altera. Education BSc in Electrical Engineering, University of Manitoba (1991) M.S. in Electrical and Computer Engineering, University of Illinois at Urbana–Champaign (1993) PhD in Electrical and Computer Engineering, University of Toronto (1998) Research Focus Betz's research spans FPGA architecture innovation, CAD tool development, and hardware acceleration methods. Key areas include: Creating FPGA architectures optimized for deep learning inference Developing datacenter-friendly FPGAs with embedded NoCs Mapping deep learning applications to programmable hardware CAD tools for FPGA debugging and context switching Hardware acceleration for medical applications like photodynamic cancer therapy Awards and Honors Fellow of IEEE, NAI, and Engineering Institute of Canada Professional Engineers of Ontario Medal for Engineering Excellence (2016) 13 best/most significant paper awards NSERC/Intel Industrial Research Chair in Programmable Silicon Google Faculty Research Award (2020) Multiple teaching awards including Gordon R. Slemon Award (2016) Research Leadership Betz leads the Verilog-to-Routing (VTR) project and co-directs the Intel/Vmware Crossroads 3D FPGA Academic Research Centre. His research is sponsored by NSERC, Intel, Google, AMD, IBM, and others.

• Computer Graphics
• Virtual Reality
• Cultural Heritage Visualization
• +۷ مورد دیگر

Carlos Antonio Andújar Gran is a faculty member at the Faculty of Informatics of Barcelona (FIB), Universitat Politècnica de Catalunya (UPC), where he is affiliated with the Department of Computer Science. He actively contributes to the academic community through teaching and supervising numerous student projects, particularly in advanced computing domains. His research interests center on the application of computer graphics, virtual reality, and artificial intelligence to real-world problems. Key areas include the 3D visualization and virtual reconstruction of cultural heritage, physically accurate rendering, intelligent segmentation of images, and the use of machine learning and reinforcement learning in sports analytics, particularly for padel. His work bridges technical innovation with practical applications in cultural preservation and sports technology. The recent publications under his supervision reflect a strong trend in digital cultural heritage, with multiple projects focused on tools for virtual visits, reconstruction, lighting simulation, and web-based 3D visualization of heritage models. Another significant trend is the application of AI to padel, including ball and player tracking, virtual coaching, and training virtual agents using reinforcement learning. These projects demonstrate a consistent focus on computer vision, interactive systems, and data-driven modeling. Carlos Antonio Andújar Gran has supervised a substantial number of students, guiding both undergraduate and master's theses. While specific grant information is not available in the text, his sustained supervision across many years suggests active involvement in research projects. He plays a key role in mentoring the next generation of computer scientists at UPC. His work is closely tied to the Department of Computer Science at FIB, where he collaborates with other faculty members such as Imanol Muñoz Pandiella, Núria Pelechano Gómez, and Mohammadreza Javadiha on various student projects, indicating a collaborative research environment focused on graphics, AI, and VR applications.

• Human Computer Interaction
• User Experience
• Information systems
• +۸ مورد دیگر

Assoc Prof Geraldine Torrisi is the Deputy Head of School (Learning & Teaching) at the School of Information and Communication Technology at Griffith University. With a PhD in Educational Studies and degrees in Science (Physics/Mathematics) and Education, she focuses on Human-Computer Interaction (HCI) , User Experience , and Learning Theory . She is a Senior Fellow of the Higher Education Academy and Griffith Learning and Teaching Academy . Education: PhD in Educational Studies (Griffith University) Masters of Educational Studies (James Cook University) Bachelor of Education (Secondary Science and Maths) (James Cook University) Bachelor of Science (Physics/Mathematics) (James Cook University) Research Interests include Interactive Digital Media , Educational Technology , and Data Literacy . Her 2025 book chapters explore AI's role in education, while 2024-2023 articles address data literacy frameworks and hybrid teaching models. Scientific Awards include Griffith Award for Excellence in Teaching (2011) , Excellence in Teaching Award (2015) , and Senior Fellow of the Higher Education Academy (2018) . She also received multiple Group Learning and Teaching Commendations (2009, 2017, 2019). Grants include The Dignity Project (2024-2025), Promoting Renewable Energy Adoption (2022-2025), and Smart Environmental Sensing (2022-2023). She supervises PhD students on topics like Human-Machine Teaming and Instructional AR Design .

• Reverse Engineering
• Product Design and Development
• Virtual Prototyping
• +۳ مورد دیگر

Luigi De Napoli is an Assistant Professor in the Department of Mechanical, Energy and Management Engineering at the University of Calabria's Engineering Faculty. He has been serving in this position since March 1, 2006, and achieved National Scientific qualification as associate in the Italian higher education system for the disciplinary field of 09/A3 - Industrial design, machine construction, and metallurgy, starting from December 20, 2019. His educational background includes a Bachelor Degree in Mechanical Engineering from the University of Calabria in 1993, followed by qualification as an Engineer in 1994. He completed his Ph.D. degree in Design and Methods in Industrial Engineering at the University of Bologna in 2003, with a thesis focused on the reconstruction of archaeological artifacts using CAD systems. High school: Liceo Scientifico Statale E. Fermi di Cosenza (1986) Bachelor Degree: Mechanical Engineering, University of Calabria (1993) Engineer Qualification (1994) Scholarship: ITIA-CNR in Milan on advanced FEM and BEM systems (1995/96) Ph.D.: Design and Methods in Industrial Engineering, University of Bologna (2003) Dr. De Napoli's research primarily focuses on Reverse Engineering applications in Mechanical Engineering, Product Design and Development, and Virtual Prototyping. His work spans various applications including the reconstruction of archaeological artifacts, geometry inspection, hull and prosthesis reconstruction, and sustainable product design methodologies. His recent publications demonstrate a strong emphasis on biomedical applications, particularly in cranial prosthetics, tissue engineering, and ovarian tissue culture systems. His teaching portfolio is extensive, covering courses such as Computer-Aided Design, Sustainable Product Design, Engineering Drawing/CAD, and Modeling and Prototyping for Bioengineering across both Mechanical and Management Engineering programs. He has been teaching CAD courses since 2010 and Sustainable Product Design since 2011 at the University of Calabria. Dr. De Napoli is actively involved in the Research Group for Industrial Engineering Design and Methods (ING-IND/15), which focuses on methodologies and tools for product development processes, industrial product design and development (with particular attention to parametric and sustainable aspects), prototyping (virtual and mixed), and manufacturing using 3D printers. His work also encompasses Reverse Engineering techniques, User Centered Design methodologies for ergonomic analysis, and Virtual and Augmented Reality applications for industrial product design.

Anthony McGarryمشاهده پروفایل

مدرس ارشد

• Prosthetics and Orthotics
• Biomechanics
• Gait Analysis
• +۷ مورد دیگر

Dr. Anthony McGarry is a Senior Teaching Fellow in Biomedical Engineering at the University of Strathclyde's Faculty of Engineering. With over 50 research outputs spanning two decades, his work focuses on prosthetics, orthotics, biomechanics, and rehabilitation engineering. His research has significantly contributed to understanding prosthetic socket design, gait analysis, measurement reliability, and physical activity in amputees. His research interests encompass a wide range of topics including prosthetics and orthotics, biomechanics, gait analysis, CAD/CAM systems, measurement reliability, physical activity in amputees, rehabilitation engineering, lower limb amputation, microprocessor prosthetics, and 3D printing applications. His work often bridges clinical practice with engineering solutions, focusing on improving patient outcomes through technological innovation. Dr. McGarry's recent publications (2023-2025) demonstrate continued innovation in the field, with work on 3D-printed cranial helmets, vision-based motion capture for gait analysis, and service quality assessment in prosthetics and orthotics. His research shows a consistent trend toward improving measurement techniques, enhancing prosthetic design, and understanding patient experiences. His scientific achievements include: Converge Challenge Competition runner up (2024) PCAD Prosthetic CAD shape capture in a weight bearing environment award (2022) FIA Foundation Research Award Dr. McGarry has been actively involved in research projects including the PCAD project (2023-2025) focusing on prosthetic CAD shape capture in weight-bearing environments, and has supervised three research students. His work on the reliability of measurement systems, particularly goniometers and activity monitors, has been widely cited and has influenced clinical practice. His research group at Strathclyde focuses on developing innovative solutions for prosthetic and orthotic challenges, with particular emphasis on measurement systems, CAD/CAM applications, and patient-centered outcomes. Current projects are exploring how weight-bearing environments affect prosthetic socket design and how emerging technologies can improve clinical outcomes.

• Computer-Aided Design (CAD)
• Digital Circuit Design
• Low Power Design
• +۴ مورد دیگر

Jing-Yang Jou is the current President and K.T. Li Chair Professor at National Central University in Taiwan. He holds MS (1983) and PhD (1985) degrees in Computer Science from the University of Illinois. His research focuses on logic synthesis, physical synthesis, design verification, CAD for low-power systems, and Network-on-Chips (NoC). With over 200 technical publications, he has made significant contributions to digital circuit design automation. Former Deputy Minister of National Science Council, Taiwan (2010-2012) Vice Chancellor for Academic Affairs, University System of Taiwan (2007-2010) Executive Director of National SoC Program (2007-2010) Director General of National Chip Implementation Center (2004-2007) Recipient of prestigious awards including IEEE Fellow distinction and multiple industry-academia collaboration recognitions. His career includes roles at AT&T Bell Laboratories (1986-1994) and GTE Laboratories (1985-1986). Research emphasizes bridging theoretical computer science with practical semiconductor design challenges.

• Microwave Engineering
• RF Systems Design
• Power Amplifier Design
• +۷ مورد دیگر

Christian Fager is a Full Professor at the Department of Microwave Electronics, Chalmers University of Technology, Sweden. He has been affiliated with Chalmers since completing his Ph.D. there in 2003. As Head of the Microwave Electronics Laboratory, his research focuses on nonlinear transistor modeling, energy-efficient power amplifier architectures, and distributed MIMO systems. He has co-invented 8 patents and published over 250 papers, including a seminal book on Nonlinear Transistor Model Parameter Extraction Techniques (Cambridge University Press, 2011). Dr. Fager holds editorial roles as Associate Editor of IEEE Microwave Magazine and member of the MTT-S Technical Coordination Committee on Wireless Communications. He is a Board Member of the European Microwave Association (EuMA) and has chaired multiple IEEE topical conferences. His awards include the Chalmers Supervisor of the Year (2018), inaugural Area of Advance Award (2010), and IEEE IMS Best Student Paper (2002). He leads research initiatives in distributed antenna systems, digital pre-distortion, and GaN/SiGe-based high-efficiency amplifiers, with projects involving testbed development for 5G/6G applications. His work bridges theoretical modeling and practical implementation in RF/microwave systems, emphasizing thermal and multi-physical simulation integration.

Lawrence Sassمشاهده پروفایل

استاد

• Digital Fabrication
• Low-Cost Housing
• Construction Automation
• +۳ مورد دیگر

Lawrence Sass is a Professor and Chair of the Computation Group in the Department of Architecture at MIT's School of Architecture + Planning. His research focuses on design innovation using digital fabrication, particularly in low-cost housing and construction automation. He pioneered methods to reduce home construction steps through computational tools, including the concept of Snap Assembly building systems showcased at MoMA in 2008. His work has inspired startups in digitally fabricated housing. B.Arch from Pratt Institute (1990) Master’s (1994) and PhD (2000) from MIT Research interests include sustainable construction techniques, 3D printing in architecture, and material optimization. He co-founded LuBan3D, a software system enabling large-scale 3D modeling with affordable tools. Current projects explore AI and robotic systems for home production. Awards include the prestigious MacVicar Faculty Fellow recognition. His teaching includes courses like Design Computation (4.500) and Tiny Fab (4.501), emphasizing computational methods in architectural design. Collaborations include work with Singapore-based researcher Prof. Lujie Chen on large-scale fabrication software. His lab focuses on integrating digital tools into physical production workflows, aiming to democratize construction through accessible fabrication technologies.

Sofia Kyratziمشاهده پروفایل

استادیار

• Geometric Modeling
• Computer-Aided Design (CAD)
• Parametric Modeling
• +۵ مورد دیگر

Sofia Kyratzi is an Assistant Professor of Geometric Modeling and Computer-Aided Design at the University of the Aegean's Department of Product and Systems Design Engineering. She holds a PhD (2007) in Computer Graphics and Geometric Modeling from the same university, an MSc in Medical Informatics (2002) from Aristotle University of Thessaloniki, and a BSc in Mathematics (2000) from Aristotle University. Roles: Teaches courses like Computer Graphics, Computer-Aided Design, and related graduate topics. Research Focus: Parametric modeling, sketch-to-solid algorithms, design intent recognition, and Industry 4.0 integration in manufacturing. Her work includes developing algorithms for reconstructing 3D models from sketches, leveraging cloud computing for CAD applications, and optimizing footwear design via biomechanical modeling. Key contributions span over 15 peer-reviewed publications in journals like Computer-Aided Design and conferences addressing geometric modeling challenges. She collaborates on projects exploring Industry 4.0 technologies for SMEs, emphasizing cloud-based CAD tools and parallel computing optimizations. Her research bridges theoretical geometric principles with practical industrial applications.