Wojciech Matusik is a Professor of Electrical Engineering and Computer Science at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL). He leads the Computational Design and Fabrication Group and is a member of the Computer Graphics Group. His research spans computer graphics, robotics, and AI-driven manufacturing, with a focus on computational design, tactile sensing, and material science. Matusik holds a PhD in Computer Science from MIT (2003), an MS from MIT (2001), and a BS from UC Berkeley (1997). His work includes groundbreaking projects like differentiable cloth simulation (DiffCloth), AI-enhanced molecular design, and tactile sensing gloves. He has received prestigious awards such as the MIT TR35 (2004), DARPA Young Faculty Award (2012), and Ruth and Joel Spira Teaching Award (2014). Matusik teaches courses on computer graphics, machine learning, and computational fabrication at MIT. Key research themes include: Robotics: Robotic assembly, tactile interaction, and soft robotics Graphics: 3D holography, procedural material generation Manufacturing: Additive fabrication, topology optimization His recent articles explore AI-driven molecular synthesis, holographic displays, and tactile-enabled VR systems. Matusik collaborates on open-source tools like the WiReSens tactile platform and Simit language for sparse systems.
James McCann is an Associate Professor at the Carnegie Mellon Robotics Institute, where he leads the Carnegie Mellon Textiles Lab. He has been a faculty member since May 2017 after working at Disney Research Pittsburgh. McCann's academic journey includes a PhD from Carnegie Mellon advised by Nancy Pollard, followed by a postdoc at Adobe Research and a period developing video games. McCann's research focuses on building creative tools that operate in real-time and build user intuition, with particular emphasis on textiles fabrication and machine knitting. His work spans computer-aided fabrication, simulation, graphics, and creative tools development. He has pioneered systems for machine knitting design, including compilers for knitting instructions and tools for automatic conversion of 3D meshes to knitting patterns. His recent publications demonstrate a strong trend toward computational textiles, with significant contributions to knitting semantics, deployable textile structures, and applications of machine knitting in healthcare and robotics. McCann's work bridges computer science, robotics, and textile arts, creating practical systems for once-off manufacturing with industrial knitting machines. McCann actively mentors students, with current PhD candidates working on solid knitting machines, knit calibration, and assistive devices. His teaching portfolio includes courses on Real-Time Graphics, Algorithmic Textiles Design, and Game Programming. He has taught at CMU since 2017, developing innovative courses that blend computer science with physical fabrication. As director of the Textiles Lab, McCann oversees research projects spanning machine knitting, robotic painting, and real-time graphics systems. His lab develops practical tools for creators, emphasizing intuitive interfaces and real-time feedback that lower barriers to advanced fabrication techniques.
Adriana Schulz is an Assistant Professor in the Department of Computer Science & Engineering at the University of Washington's College of Engineering. She leads a research group focused on computational design, computer-aided design (CAD), and digital fabrication. Her work bridges computer science with practical applications in manufacturing, robotics, and sustainable design. Dr. Schulz received her Ph.D. in Computer Science from MIT in 2018 under the supervision of Professor Wojciech Matusik. Prior to her doctoral studies, she earned a Master's degree in Mathematics from IMPA (Instituto Nacional de Matemática Pura e Aplicada) in Rio de Janeiro, where she worked with Professor Luiz Velho, and a Bachelor's degree in Electronics Engineering from UFRJ (Federal University of Rio de Janeiro). Her research interests center around computational tools that enhance design and manufacturing processes. She develops novel algorithms for CAD systems, computational fabrication techniques, and sustainable design approaches. Her work spans multiple domains including robotics, textiles, electronics, and architecture, with a strong emphasis on creating practical tools that designers and engineers can use in real-world applications. She explores how machine learning, particularly neurosymbolic approaches, can improve design workflows and enable new capabilities in computational design systems. Analysis of her recent publications reveals a strong trend toward more intelligent and user-centered design tools. Her research increasingly integrates machine learning with traditional CAD systems to create more intuitive interfaces, supports sustainable design practices with computational tools, and develops novel fabrication techniques that push the boundaries of what's possible with digital manufacturing. She has made significant contributions to zero-waste fashion design, immersion cooling for high-performance computing, and CAD program understanding through novel representation learning techniques. Innovators Under 35 - MIT Technology Review Bolsa Aluno Nota 10 from FAPERJ Engineer 20000 award Dr. Schulz actively mentors several PhD students and postdoctoral researchers, including Haisen Zhao, Ben Jones, Yuxuan Mei, and others, often in collaboration with colleagues across different departments. Her research has attracted significant media attention, with coverage in major outlets including MIT News, BBC, IEEE Spectrum, Wired, and TechCrunch. Her work on Interactive Robogami was noted as the most read article in the International Journal of Robotics Research in its publication year. She leads a vibrant research group at the University of Washington that focuses on computational design systems, with particular emphasis on creating tools that bridge the gap between digital design and physical fabrication. Her team develops novel algorithms for CAD systems, computational fabrication techniques, and sustainable design approaches that have practical applications across multiple industries.
Stefanie Mueller is the TIBCO Career Development Associate Professor at MIT's Electrical Engineering and Computer Science Department, with joint affiliation in Mechanical Engineering. She leads the HCI Engineering Group at the Computer Science and Artificial Intelligence Laboratory (CSAIL), focusing on advancing fabrication techniques through hardware/software innovations that enable novel object interactions. Develops computational fabrication methods combining photochromic dyes, lenticular lenses, birefringent materials, and optical illusions Co-chaired ACM CHI 2023 and ACM UIST 2020 program committees Recipients of 9 MIT EECS Best Undergraduate Researcher Awards among mentees Her research spans four key directions: Appearance-changing Objects: Photo-Chromeleon (ACM UIST 2019), Lenticular Objects (ACM UIST 2021), and Polagons (ACM CHI 2023) demonstrate reprogrammable surfaces through advanced materials and optical engineering. Tracking Systems: InfraredTags (ACM CHI 2022) and G-ID (ACM CHI 2020) enable passive object tracking via infrared markers and slicing artifacts. Embedded Sensing: MechSense (ACM CHI 2023) and Sprayable User Interfaces (ACM CHI 2020) integrate sensing capabilities into complex geometries. Curved Surface Prototyping: FlexBoard (ACM CHI 2023) and CurveBoard (ACM CHI 2020) develop specialized tools for non-planar electronics. Her recent publications focus on functionality segmentation (UIST 2023), fluorescent markers (UIST 2023), and machine-knitted haptics (UIST 2023). These works combine machine learning, material science, and interactive design principles to push fabrication boundaries. Scientific recognition includes: 2022 MIT Technology Review Innovators Under 35 2020 Microsoft Research Faculty Fellowship 2020 Alfred P. Sloan Research Fellowship 2019 ACM UIST Best Paper Award 2019 NSF CAREER Award 2018 MIT EECS Outstanding Educator Award 2017 Forbes 30 Under 30 in Science Mentoring 9 PhD students and over 20 master's students, her lab has produced 20+ publications at top HCI conferences. She redesigned MIT's 6.810 Engineering Interactive Technologies course during the pandemic, maintaining hands-on learning through home electronics kits and Slack-based collaboration.
Özgür Atalay (ORCID: 0000-0003-1050-0685) is an Associate Professor at the Department of Textile Engineering , Istanbul Technical University . His research focuses on Textile-based Engineering with emphasis on Capacitive , Actuator , and Soft Robotics Engineering . Current projects include TexSoRVA (Textile-Based Soft Robotics for VR Applications), SMARTWASTE (Agricultural/Natural Waste Textiles), and TEXWEAROTS (Self-powered Wearable Soft Robotics). Collaborations span EU-funded initiatives, Turkish Scientific and Technological Research Council (TUBITAK), and industrial partnerships. His work integrates Internet of Things (IoT) with Electronic Textiles (E-textiles) , focusing on applications in Telerehabilitation , Wearable Robotics , and Smart Textiles . Key technologies include Capacitive Sensors , Conductive Yarns , and Fog Computing Frameworks . Recent publications highlight advancements in auxetic sensor design , cloud-controlled textile gloves , and self-powered wearable systems . His research output (58 publications) demonstrates a focus on practical implementations in Therapeutic Applications and Human-Machine Interaction . Özgür leads 6 active research projects, including: TexSoRVA : 04/2025-09/2026, EU-funded SMARTWASTE : 01/2023-12/2026, TTO-funded TEXWEAROTS : 11/2022-10/2027, EU-funded With over 1623 citations (h-index 15), his work contributes to Textile Electronics , Soft Robotics , and Wearable Technology fields.
Professor Stephen Beeby is a leading academic at the University of Southampton in the Electronics and Computer Science department. His research spans Electronic Textiles , Flexible Electronics , and Energy Harvesting technologies. Research Focus: His work emphasizes the integration of smart printable materials into fabrics, enabling invisible wearable technologies . Projects include energy-harvesting insoles , skin hydration sensors , and thermoelectric devices for sustainable power. Recent Publications highlight advancements in zinc oxide nanoparticle films , flexible antennas , and gold-tooled e-textile circuits , reflecting his interdisciplinary approach to biomedical monitoring and smart clothing . Scientific Honors: Royal Academy of Engineering Chair in Emerging Technologies Fellow of IEEE (FIEEE) Fellow of Institute of Physics (FInstP) Fellow of Institution of Engineering and Technology (FIET) PhD Students: Supervising 10 active PhD candidates in areas like flexible sensors , smart garments , and energy-harvesting systems . Labs & Collaborations: Core member of the Centre for Flexible Electronics and E-Textiles (C-FLEET) and collaborates with European Union-funded initiatives like EnABLES and TEAM-NANO .
Dr Nga Wun (Doris) Li is a Senior Lecturer at the University of Technology Sydney (UTS) within the Faculty of Design, Architecture and Building, Department of Fashion and Textiles. She leads research in seamless knitting technology, smart textiles, and sustainable fashion innovation. PhD in Fashion & Textile Design (HK PolyU, 2021) BA (Hons) in Fashion & Textiles (HK PolyU, 2012) Certifications in Wholegarment Machine (Shima Seiki, Japan) and Higher Education Pedagogy (UTS) Her research focuses on functional garments, knitting technology, and bio-informed textile design. Key projects include smart socks for DVT prevention , one-size sports bras , and buoyant swimwear for children . She combines knitting with machine learning and 3D printing for material innovation. Recent publications highlight her work on compression textiles (2025), wearable glucose sensors (2025), and knitted metasurfaces for acoustic comfort (2024). She has secured AU$52,000+ in grants across 5 funded projects. Fashion Design Award (Jeanswest, China) Outstanding Presentation & Research Paper Awards (2024) Dr Li supervises PhD and MPhil students in smart textiles and sustainable design while coordinating machine knitting courses. She collaborates with AiDLab (Hong Kong) and Powerhouse Museum (Australia).
Alana Clifton-Cunningham is a dedicated educator and researcher in fashion and textile design at the University of New South Wales, Faculty of Arts, Design & Architecture. With over two decades of experience in higher education, she has established herself as a leader in sustainable and innovative design education. Her work bridges traditional craftsmanship with cutting-edge technologies, creating experiential learning environments that prepare students for contemporary design practice while addressing global sustainability challenges. Educational Background: 2021 | UNSW - Learn to Lead: Progress Needs Resilient Leaders 2019 | UTS - Graduate Certificate in Higher Education Transdisciplinary Learning 2008 | UNSW (COFA) - Master of Design (Hons) Research 2002 | UTS - Graduate Certificate in Higher Education Teaching and Learning 2001 | TAFE - Diploma of Marketing Management 1993 | UTS - Bachelor of Design (Hons) (Fashion and Textile Design) Clifton-Cunningham's research focuses on sustainable fashion practices, with particular emphasis on circular economy principles in textile production and garment design. Her work explores scalable models for textile remanufacturing, clothing waste reduction, and sustainable workwear systems. She is deeply engaged in addressing clothing sizing issues and standards in Australia, advocating for more inclusive approaches to fit and body diversity. Her commitment to equity, diversity, and inclusion underpins all aspects of her leadership and teaching, making her a strong advocate for responsible design futures that prioritize both environmental sustainability and social justice. Her publication record demonstrates a consistent focus on the intersection of design education, cultural exchange, and sustainable practices. Notable works include her 2022 book chapter on cross-cultural textile workshops in India, her 2018 analysis of undergarment technology evolution, and her contributions to exhibitions like 'Out of Hand' at the Powerhouse Museum. These works collectively highlight her emphasis on hands-on, experiential learning that connects students with real-world sustainability challenges and cultural contexts. Research Grants: 2024 | Redesigning Clothing Waste Using a Circular Design Framework - LP230200929 $220,473K 2024 | Department of Community and Justice - $17,900 2024 | Education Focussed Community of Practice (PVCESE) - $2,500 2023 | Department of Community and Justice - $15,900 2023 | Education Focussed Community of Practice (PVCESE) - $6,995 2017 | AbbVie Pharmaceutical Pty Ltd, HS Support Garments: Chief Investigator - $35,000 Clifton-Cunningham actively supervises research in fashion and textile design, with a focus on sustainable practices and innovative design processes. Her extensive industry network, including partnerships with major fashion labels, brings real-world insight into the classroom. She has led international global studios, including immersive programs in India where students collaborate with artisans. Her current ARC Linkage project 'Redesigning Clothing Waste Using a Circular Design Framework' represents a significant contribution to sustainable fashion research. Her creative practice is reflected in numerous exhibitions, including the Seoul International Fashion Art Biennale (2016, 2018), Wangaratta Contemporary Textile Awards, and the Powerhouse Museum's 'Out of Hand' exhibition. These artistic endeavors complement her academic work, demonstrating the practical application of her research interests in sustainable and innovative textile design.
Paula Hohti is a Professor of Art and Culture History at Aalto University's School of Arts, Design and Architecture, Department of Art and Media. She holds a Docent position in History of Art at the University of Helsinki. Her research focuses on Italian Renaissance dress and material culture, particularly among artisans and shopkeepers. She earned her PhD from the University of Sussex (2006) and has held research roles at institutions including Helsinki Collegium for Advanced Studies and the European University Institute (EUI) in Florence. She led major projects like RE-FASHIONING (ERC grant, €2M in 2016) and co-founded the Fashion History Lab. Her work contributes to UN SDGs related to sustainable development through historical material studies. Education: PhD in Art History, University of Sussex (2006). Research Interests: Italian Renaissance textiles, Early Modern material culture, artisan craftsmanship, textile reconstruction methods, and social history of dress. Recent work emphasizes interdisciplinary approaches to reconstructing historical clothing and its cultural significance. Key Publications (2025): Refashioning the Renaissance: Everyday Dress in Europe (book), studies on color imitation in textiles, and knitted stockings experimentation. Articles explore cross-disciplinary methodologies and material authenticity. Awards: ERC Consolidator Grant (2016), Academy of Finland Fellowships, and the Roland H. Bainton Book Prize (2021). Advising & Grants: Principal investigator in multiple international projects. Supervised eight post-doctoral researchers. Co-developed the Refashioning the Renaissance Database (Aalto University, 2022). Labs/Teams: Leads the Fashion History Lab (2022–2023) and collaborates globally on textile and material culture studies.
Neil White is Professor of Intelligent Sensor Systems at the University of Southampton's Electronics and Computer Science (ECS) school and serves as Director of the ECS Centre for Healthcare. He has held various leadership positions including Head of Electronics and Computer Science from 2011 to 2015 and has been instrumental in establishing research initiatives in sensor technology and energy harvesting. His research interests focus on medical sensors , intelligent sensor systems , and energy harvesting technologies. Professor White's work bridges the gap between engineering and healthcare applications, with significant contributions to wearable medical devices, particularly respiratory monitoring systems. His research integrates micro-electromechanical systems (MEMS), energy harvesting techniques, and smart textiles to create innovative healthcare solutions. Analysis of his recent publications reveals a strong focus on energy harvesting technologies, medical sensor applications, and e-textile development. His work spans multiple disciplines including biomedical engineering, electrical engineering, and materials science, with applications in healthcare monitoring, environmental sensing, and transportation systems. The research demonstrates a consistent theme of creating self-powered, intelligent sensor systems for practical applications. Professor White has received notable recognition including the Callendar silver Medal (2009) from the Institute of Measurement and Control and the 1989 Educational Prize from the International Society for Hybrid Microelectronics. Principal Investigator on NIHR i4i project developing low-cost wearable respiration sensors Former Director and co-founder of Perpetuum Ltd., specializing in vibration energy harvesting Current collaborations with clinicians at University Hospital Southampton Extensive funding from EPSRC, European Union, and industry partners Professor White leads research within the Smart Electronic Materials and Systems group, the Institute for Life Sciences, and the Centre for Health Technologies. His work in the Interdisciplinary Musculoskeletal Health and Digital Health research areas demonstrates his commitment to cross-disciplinary collaboration to address complex healthcare challenges through engineering solutions.
Jennifer Mankoff is the Richard E. Ladner Professor at the Paul G. Allen School of Computer Science & Engineering, University of Washington. She previously held faculty positions at UC Berkeley’s EECS department and Carnegie Mellon’s HCI Institute. Her research focuses on accessibility, empowering disabled individuals through technologies like generative AI, 3D printing, and computational knitting. Education : PhD in Computer Science from Georgia Tech (advised by Gregory Abowd and Scott Hudson), BA from Oberlin College. Her work addresses technical challenges in accessibility across domains such as higher education, health, and DIY solutions. She leads the Make4All Group and the Center for Research and Education on Accessible Technology and Experiences (CREATE). Awards include the SIGCHI Social Impact Award, IBM Faculty Fellowship, and ASSETS 10-Year Impact Award. Scientific Awards : SIGCHI Social Impact Award Alfred P. Sloan Fellowship IBM Faculty Fellowship ASSETS 10-Year Impact Award CHI Academy Member Mankoff has mentored over 50 undergraduate and graduate students, including current faculty members like Julie Kientz and Gary Hsieh. She advocates for inclusive curriculum development, teaches courses on data-centric computing and HCI, and provides mentorship on navigating academia with disabilities. Contact : jmankoff@cs.uw.edu | jmankoff@acm.org | 206-685-3035
Julian Jauk is a Researcher at the Institute for Architecture and Media, TU Graz. His work focuses on innovative material systems, digital fabrication, and sustainable architectural design. He explores the integration of clay composites, mycelium-based materials, and knitted structures with advanced manufacturing techniques like 3D printing. Key research themes include lightweight ceramic structures, biocomposite materials, and computational design methodologies. His research emphasizes material-driven innovation, structural optimization, and environmental sustainability. Notable projects include MyCera (clay-mycelium composites) and ClayKnit (3D-printed clay-knitted hybrids). He also investigates mixed reality tools for architectural sketching and kinetic architectural prototypes. Publications from 2021–2024 highlight trends in bio-based materials, additive manufacturing, and material-property analysis. His work bridges traditional craftsmanship with cutting-edge digital fabrication, aiming to redefine sustainable building practices.
Sara Nabil is an Assistant Professor at Queen's University's School of Computing within the Faculty of Arts and Science. She leads the HCI Design Studio and previously held a postdoctoral position at Carleton University's Creative Interactions Lab. Her research focuses on integrating interior design, fashion, and product design with interactive technologies, emphasizing e-textiles, smart materials, and shape-changing interfaces. She holds a PhD from Newcastle University and prior experience as an HCI Lecturer, interior designer, and senior software developer. Education: PhD in Computing, Newcastle University (2019) MSc in Computing BSc in Computing Research interests include designing computational spaces, wearable technology, and e-textile interactions. Her work explores sustainable fabrication methods, user-centered design for smart environments, and bridging traditional crafts with digital technologies. Notable projects include exhibitions like 'Living with Adaptive Architecture' and 'Persuasive Pharmacy Space,' showcasing interactive wearables and spaces. Her recent articles (2023–2025) emphasize e-textile innovations, sustainable design, and human-building interactions. Key themes include smart materials in fashion, modular wearables, and community-driven interaction systems. Awards: None explicitly mentioned. Advising/Grants: No details provided. Labs/Teams: Head of HCI Design Studio and part of iStudio Lab, focusing on interioraction design.
Berit Greinke is an Assistant Professor of Wearable Computing at the Berlin University of the Arts (UdK) and the Einstein Center Digital Future (ECDF) since 2018, previously serving as a researcher at UdK's Design Research Lab and DFKI (2016-2018). Her academic foundation includes a PhD from Queen Mary University of London (2017), an MA from Central St Martins (2009), and a Diploma from Weissensee Academy of Art Berlin (2007). Her educational trajectory: PhD in Media and Arts Technology, Queen Mary University of London (2017) MA in Design for Textile Futures, Central St Martins College of Art and Design (2009) Diploma in Textile and Surface Design, Berlin Weissensee School of Art (2007) Greinke's research pioneers the convergence of craft, textile design, and digital technology, with core expertise in electronic textiles and smart materials. She investigates metamaterial-based 'metatextiles' for electromagnetic applications and explores transdisciplinary collaboration between designers and scientists, particularly regarding 'negative data' in creative and scientific workflows. Her current UdK work focuses on four interconnected domains: performing materials for expressive textile/fashion design; multi-modal sensing converting visual processes into haptic/audible experiences; micro-to-macro material design spanning nanostructures to final products; and transdisciplinary processes for technology-art-science collaboration. Analysis of her 2020-2025 publications reveals dominant trends in sustainable textile electronics, with emphasis on knitted/folded sensor structures, origami-inspired capacitive shape estimation, and social sustainability in e-textile communities. Her work uniquely bridges fundamental material science (e.g., textile metamaterials) with artistic applications (e.g., interactive orchestra garments) and industrial production challenges. Berit Greinke supervises PhD students including Giorgia Petri. Her junior professorship is co-financed by SAP under a public-private partnership model, supporting projects like WEAR (Wearable technologists engage with artists for responsible innovation) and STELEC (Sustainable Textile Electronics), which emphasize ethical co-design and industry-academia collaboration. She leads research within UdK's Institute for Product and Process Design and collaborates with the Design Research Lab (formerly part of Connected Textiles group), focusing on sustainable industrial production of electronic clothing and transdisciplinary innovation frameworks.
Asst. Prof. Zehra Evrim Kanat serves as an Assistant Professor in the Textile and Fashion Design Department at Canakkale Onsekiz Mart University's Faculty of Fine Arts since 2020, following research assistant roles at Tekirdağ Namik Kemal University (2014-2020) and Ege University (2009-2014). Her expertise bridges academic research and industry applications in textile engineering. Her educational foundation includes: Doctorate in Textile Engineering from Ege University (2008-2013) Postgraduate in Textile Engineering from Ege University (2005-2007) Undergraduate in Textile Engineering from Ege University (1997-2002) Dr. Kanat's research centers on textile engineering and design, with specialized focus on thermal and moisture management properties of fabrics. She investigates yarn technology, cloth construction, and smart textile applications to enhance comfort in sportswear and technical garments. Her methodological approach integrates artificial neural networks and statistical modeling for predictive analysis of fabric behavior under varying humidity conditions, contributing significantly to thermophysiological comfort research. Publication trends reveal consistent advancement in thermal resistance modeling of knitted and woven fabrics, with recent expansion into smart textiles for sports applications and biomimetic design principles. Her work demonstrates strong interdisciplinary connections between textile science, materials engineering, and functional apparel design. Her research leadership includes: EU-supported project on Textile Insights and Future Aspects (2023-2024) Study on Hatay Silk's fiber properties versus Chinese-Japanese hybrid silk (2022-2023) TUBITAK-funded expert system for woven fabric defect diagnosis (2017-2018) Multiple projects on moisture management properties of technical textiles Dr. Kanat actively contributes to academic discourse through peer review for leading textile journals and participates in interdisciplinary art exhibitions that explore cultural and historical textile narratives.
