Find Academic Supervisors

Anthony McGarryView profile

Senior Lecturer

• Prosthetics and Orthotics
• Biomechanics
• Gait Analysis
• +7 more

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.

• Microwave Engineering
• RF Systems Design
• Power Amplifier Design
• +7 more

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 SassView profile

Professor

• Digital Fabrication
• Low-Cost Housing
• Construction Automation
• +3 more

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 KyratziView profile

Assistant Professor

• Geometric Modeling
• Computer-Aided Design (CAD)
• Parametric Modeling
• +5 more

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.

Michael WehmöllerView profile

Professor

• Dental Technologies
• Medical Device Innovation
• Biomechanics
• +5 more

Prof. Dr.-Ing. Michael Wehmöller is a full Professor at the Faculty of Engineering and Computer Science, Osnabrück University of Applied Sciences. His career spans roles as a technical director in medical device companies and interdisciplinary research leadership in DFG/EU-funded programs, integrating CAD/CAM, additive manufacturing, and biomechanics. Research interests focus on dental technology , medical device innovation , biomechanics , biomaterials , and 3D printing . His work bridges engineering precision with clinical applications , particularly in craniofacial reconstruction and selective laser melting for implants. The 15 most recent publications highlight trends in computer-aided implant design biodegradable materials testing automated surgical planning with a strong emphasis on clinical translation of engineering solutions. Scientific recognition includes Innovationspreis NRW (1996) Innovationspreis Ruhrgebiet (2002) and ongoing membership in VDI medical technology panels . He leads the Digitale Dentale Technologien lab, focusing on next-generation implant systems.

Satwik PatnaikView profile

Assistant Professor

• VLSI Design
• Hardware Security
• Computer-Aided Design (CAD)
• +3 more

Satwik Patnaik is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Delaware. His research focuses on strengthening hardware security through CAD tools, leveraging machine learning, and exploring emerging technologies. He holds a Ph.D. in Electrical Engineering from New York University (2020) and was a postdoctoral researcher at Texas A&M University (2020–2021). Education: Ph.D., Electrical Engineering, Tandon School of Engineering, New York University (2020) Postdoctoral Research, Texas A&M University (2020–2021) Research Interests: VLSI design, hardware security (e.g., logic locking, side-channel attacks), computer-aided design (CAD), and applications of machine learning in securing global semiconductor supply chains. His work emphasizes 3D integration, emerging devices (e.g., ferroelectric tunnel junctions), and reinforcement learning for adversarial testing. Key Contributions: Developed tools like SecureX, VIGILANT, and Titan. Published over 48 peer-reviewed articles in top venues (e.g., ICCAD, IEEE Transactions). Co-organized global competitions like HeLLO-CTF 2021 and AI vs. Humans 2022. Served as security track chair for ACM CADAthlon (2022) and technical program committee member for ICCAD, ASP-DAC, etc. Awards: ACM/SIGDA Bronze Medal (2018) Best Paper Award at ARC 2017 Third Place at ARC 2021 Expertise: Integrates hardware design, security, and AI to address vulnerabilities in semiconductor supply chains. Active in standardizing secure CAD flows and educating the next generation of hardware security researchers.

Michael WimmerView profile

Professor

• Computer Graphics
• Real-Time Rendering
• Point Clouds
• +4 more

Univ.Prof. Michael Wimmer is a Professor in the Department of Computer Graphics and Visualization at TU Wien's Faculty of Informatics. His research focuses on real-time rendering, point cloud processing, GPU computing, and computational design. He leads projects involving architectural visualization, thermal simulation, and integrative design frameworks combining 4D sketching with material modeling. His work bridges computer graphics with applications in architecture and engineering. ORCID: 0000-0002-9370-2663 Research Group: Network Lab Recent research emphasizes GPU-accelerated algorithms (e.g., LOD generation for 2 billion points), real-time rendering techniques, and deep learning approaches for surface reconstruction. Collaborations span thermal simulation with civil engineers and 4D design tools for architects. Notable contributions include: Developing PPSurf for detailed surface reconstruction using point convolutions Advancing Vulkan-based rendering pipelines in academic settings Integrating light polarization for HDR imaging His lab explores applications in architectural design metaphors, computational material assessment via GeoRadar, and thermal simulation using precomputed radiative transport. Students under his supervision focus on GPU optimization, 3D reconstruction, and VR ergonomics.

James R. WilcoxView profile

Assistant Professor

• Programming Languages
• Computer Science
• Formal Methods
• +5 more

James R. Wilcox is an Assistant Professor of Computer Science at the University of Washington , where he teaches courses like Introduction to Programming , Foundations of Computing , and Operating Systems . His research focuses on programming languages , formal methods , and distributed systems verification . PhD, University of Washington BS, Williams College (2013) Wilcox's research bridges software engineering and formal verification , with applications to distributed systems, concurrent programming, and tools like mypyvy for verification. He has published extensively in top venues such as POPL , PLDI , and CAV , emphasizing compositional techniques and proof assistants like Coq. He has received two Distinguished Paper Awards (PLDI 2015, PLDI 2020) and contributes to frameworks like Verdi for verifying distributed systems. Outside academia, he is a baritone in Seattle's choral ensembles and an avid long-distance cyclist.

Hyung D. BaeView profile

Assistant Professor

• Polymer-based fiber optic sensors
• Bioinspired sensor systems
• 3D printed structures
• +3 more

Dr. Hyung D. Bae is an Assistant Professor in the Department of Mechanical Engineering at Howard University, affiliated with the College of Engineering and Architecture (CEA). He holds a Ph.D. from the University of Maryland (2013) and prior degrees from Yonsei University. His research focuses on polymer-based fiber optic sensors, bioinspired sensor systems, and 3D printed structures. He leads funded projects involving chemical detection, biological sensing, and 3D printed pressure vessels. **Education**: Ph.D., Mechanical Engineering, University of Maryland (2013) M.S., Mechanical Engineering, Yonsei University (2006) B.S., Mechanical Engineering, Yonsei University (2004) **Research Interests**: Dr. Bae specializes in micro/nano fabrication, optofluidics, and multi-functional sensors for biomedical applications. His work integrates optical systems with mechanical engineering to develop innovative sensing technologies. Recent projects include graphene-diaphragm-based acoustic sensors and diamond-based pressure sensors with advanced adhesives. **Awards & Recognition**: 2018 DARPA Young Faculty Award 2017 IEEE/OSA Top Reviewer Award 2012 Invention Disclosure Finalist (University of Maryland) **Teaching & Advising**: He teaches courses on MEMS, computer-aided engineering, and CAD design. Current funded research partners include DARPA, NSF, and DOE. His lab emphasizes collaborative projects using advanced simulation tools like Fusion 360 and Simscale. **Labs/Teams**: His lab focuses on interdisciplinary sensor development at the intersection of optics, mechanics, and materials science.

Jianwen ZhuView profile

Associate Professor

• Computer-Aided Design (CAD)
• Integrated Circuit Design
• High-Level Synthesis
• +3 more

Jianwen Zhu is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Toronto, Faculty of Applied Science and Engineering. He received his BE in Electrical Engineering from Tsinghua University (1993), followed by MS and PhD in Computer Science from the University of California, Irvine (1996, 1999). His research focuses on computer-aided design (CAD) for integrated circuits, with emphasis on high-level and logic synthesis, and systems-on-chip design methodology. Education: BE, Electrical Engineering, Tsinghua University (1993) MS, Computer Science, University of California, Irvine (1996) PhD, Computer Science, University of California, Irvine (1999) Research Interests span CAD tools for ICs, algorithm optimization for synthesis, and SoC architecture. His work bridges theoretical design and practical implementation in electronic systems. Awards & Memberships: IEEE Member ACM Member Best Paper Awards: ICCD'10, FPGA'10 Contact: Office EA 312, Phone (416) 946-5971, Personal Website

• Cartography
• Graphic Engineering
• Historical Geography
• +1 more

Manuel Morato Moreno is a Professor at the University of Seville's Department of Graphic Engineering, affiliated with the School of Engineering. His work focuses on cartographic methodologies, historical geographic representation, and computer-aided design (CAD) applications in engineering and education. University: University of Seville School: School of Engineering Department: Department of Graphic Engineering His research explores the evolution of cartographic practices, particularly in 16th-century Spanish American territories, analyzing empirical and scientific approaches to terrain representation. He has contributed to studies on B-spline surfaces in digital terrain modeling and the integration of CAD tools in descriptive geometry education. Recent publications examine colonial cartography, including maps of the Coatzacoalcos River (2021), Tlacotalpa (2017), and the López de Velasco longitude project (2016). Key themes include historical GIS, topographic visualization, and mapmaking symbolism. Morato Moreno has participated in numerous research projects (e.g., TEP-156 group consolidation) and technical conferences, presenting studies on inclined roadway design (2005), CAD pedagogy (1999), and AutoLISP programming for topography (1997).

• Analog and mixed-signal integrated circuit design
• Computer-aided design (CAD) of electronic circuits
• Design of integrated data converters
• +7 more

Georges G.E. Gielen is a Full Professor in the Department of Electrical Engineering (ESAT) at KU Leuven (Belgium), where he has been faculty since 1993. He also serves as scientific research advisor at imec (10% appointment). Previously, he held leadership roles including Vice-Rector for Science, Engineering & Technology (2013-2017), Chair of Electrical Engineering Department (2012-2013, 2020-2024), Head of MICAS research group, and PI coordinator of Leuven CHIPS Center of Excellence. He received MSc (1986) and PhD (1990) degrees in Electrical Engineering from KU Leuven. His research focuses on analog/mixed-signal IC design and CAD tools, including design automation, modeling, simulation, optimization, synthesis, and testing. Key areas include data converters, sensor interfaces, low-power design, and EDA tools. He has supervised over 55 PhD graduates and coordinates multiple research projects, including an ERC Advanced Grant (AnalogCreate). Professor Gielen has authored 14 books and over 800 publications, with works spanning circuit design, CAD methodologies, testing techniques, and microelectronics. His publications consistently address emerging challenges in analog/digital integration and design automation. IEEE Fellow (2002) Royal Flemish Academy of Belgium (Technical Sciences) Academia Europaea (Engineering) IEEE CAS Mac Van Valkenburg Award (2015) IEEE CAS Charles Desoer Award (2020) EDAA Achievement Award (2021) 14 additional awards including 4 best paper prizes He leads the MICAS research group focusing on microelectronics and sensors, and has chaired the Leuven ICT research center. He regularly serves on editorial boards of IEEE Transactions and organizes major conferences (General Chair for DATE 2006, ICCAD 2007, ESSCIRC 2017, ETS 2021).

Anurag PurwarView profile

Associate Professor

• Robotics Design
• Kinematic Analysis
• Machine Learning in Engineering
• +3 more

Dr. Anurag Purwar is an Associate Professor of Mechanical Engineering at Stony Brook University, directing the Computer-Aided Design and Innovation Lab and serving as PI for NSF I-Corps. He holds a Ph.D. from Stony Brook (2005) and a B.Tech. from IIT Kanpur (1995). His research merges rigid body kinematics with machine learning for mechanism and robot design, yielding 107+ peer-reviewed publications and patents licensed to industry. Key projects include the sit-to-stand walker assistive device (SAE Top 100 Award) and MotionGen software tools. Education: Ph.D., Stony Brook University (2005); B.Tech., IIT Kanpur (1995) Awards: A.T. Yang Award (2017), SAE Top 100 Award (2016), ASEE Distinguished Teaching Award (2021) Leadership: Program Chair (ASME 2014), Conference Co-Chair (IDETC 2016), NAI Senior Member Research focuses on machine learning-driven design of mechanisms, robotics, and assistive technologies. His labs develop algorithms for path synthesis, generative design, and kinematic analysis. He actively commercializes innovations through industry partnerships and has spun off startups like MotionGen.io.

• Human-Computer Interaction
• Collaborative and Social Computing
• Computer Supported Cooperative Work
• +7 more

Dr. Ioanna Lykourentzou is an Associate Professor in the Software Technology for Learning and Teaching department at Utrecht University's Faculty of Science. She leads the Collaborative Technologies Lab and coordinates the Computing Science Master's and Information Sciences Honors Bachelor's programs. Additionally, she serves as a Fair Data and Software fellow within the Open Science Team of the Faculty of Science and as a member of the Ethics Review Board for the Faculties of Science and Geosciences. Her research focuses on collaborative and crowd systems, developing methods that help people work together, coordinate efforts, and innovate at scale, both online and in physical spaces. Her interdisciplinary approach combines computational science (machine learning, agent-based modeling, mathematical optimization) with social sciences (personality testing, team building). Her expertise spans Human-Computer Interaction, Algorithms, Agent-Based Modelling, Telecollaboration, Creativity, and Innovation. Her recent publications (2021-2025) demonstrate a strong focus on human-AI interaction, generative models, and applications in cultural heritage and education. She examines how technology can facilitate collaboration, with particular attention to team formation, personality factors, and digital nudging techniques. Her work bridges theoretical research with practical applications in digital humanities, cultural heritage, and computing education. Dr. Lykourentzou has received significant recognition for her research, with multiple publications garnering substantial citations and reader attention across platforms like Mendeley and social media. Her work on personality-based team formation (2016) has been particularly influential with over 90 citations. Prior to joining Utrecht University, she worked as a Senior Researcher at the Luxembourg Institute of Science and Technology (LIST), where she coordinated the European H2020 project CROSSCULT. She has also collaborated with the Human-Computer Interaction Institute of Carnegie Mellon University as a visiting researcher and with INRIA Nancy-Grand Est and the Public Research Center Henri Tudor as a postdoctoral fellow.

Thijs RoumenView profile

Assistant Professor

• Digital Fabrication
• Human-Computer Interaction (HCI)
• Laser Cutting
• +3 more

Thijs Roumen is an Assistant Professor at Cornell Tech within the Department of Information Science . He leads the Matter of Tech Lab , focusing on Digital Fabrication and Human-Computer Interaction (HCI) . His work aims to democratize fabrication technology for non-industrial users. PhD from Hasso Plattner Institute MSc in IT Product Design from University of Southern Denmark BSc in Industrial Design from Eindhoven University Research interests include: Laser cutting portability 3D modeling tools Fabrication error prevention Accessible haptic interfaces Recent publications address asynchronous hardware troubleshooting (SplatOverflow, CHI'25), medical robotics (HRI'25), and fabrication artifact data storage (StructCode, SCF'23). His work has received multiple Best Paper Honorable Mentions at CHI and UIST conferences. Scientific contributions include: Key role in CHI meta (2018-present) Chair of German Networking Events at CHI Subcommittee leadership in DIS, CHI, and UIST Active in lab collaborations and invited talks at institutions like Stanford, MIT, and University of Tokyo. Also a World Major Marathon Finisher (Chicago 2023, Berlin 2019).