Dr. Lin Gardner holds dual roles at the University of Glasgow: Admin Assistant (Student Services) and Affiliate in the History Department. Her research focuses on the Scottish textile industry, particularly knitwear's historical and cultural dimensions. She explores the interplay between technological innovation and creative output in textile production. Notable contributions include a co-authored book and several peer-reviewed articles in Textile History and Textile . Her work bridges material culture studies, industrial history, and cultural analysis. Affiliations: History Department, University of Glasgow Key Research Themes: Knitwear industry, machinery's impact on creativity, textile historiography While no scientific awards are noted, her publications reflect significant scholarly engagement with textile history's socio-economic dimensions. No advising roles or grants are explicitly listed in the provided texts.
Umut Kıvanç Şahin serves as an Associate Professor in the Department of Textile Engineering at Istanbul Technical University (ITU), where he maintains active research and teaching responsibilities. His institutional affiliation includes the İTÜ Ayazağa Campus in Istanbul, Turkey, with direct contact through university email channels. Research interests span specialized textile domains including e-textiles, conductive yarn applications, electromagnetic shielding fabrics, softener chemistry for cotton knits, nanofiber drug delivery systems, and textile machinery optimization. His work bridges fundamental textile science with advanced applications in wearable electronics, military textiles, and sustainable material development. Analysis of recent publications reveals strong focus on functional textile treatments (softeners, conductive coatings), e-textile transmission systems, and nanofiber-based biomedical applications. Key methodological approaches include experimental testing of fabric properties, process optimization via SMED methodology, and AI-driven appliance analysis. Uluslararası Bilimsel Yayınları Teşvik Ödülü (2005) Supervision encompasses 8 documented research works, while grant leadership includes three major projects: AI-based dryer load detection (2023), flexible conductive e-textile connectors (2017-2020), and textile waste recycling for nanocomposites (2017-2019). These projects demonstrate consistent funding acquisition in applied textile research. Research infrastructure supports investigations into electromagnetic shielding fabrics, e-textile transmission lines, and nanofiber webs, with collaborations spanning materials science, electrical engineering, and biomedical applications. Current work focuses on 2025 publications exploring softener effects on cotton knits and next-generation e-textile systems.
Elizabeth Van Couvering is an Assistant Professor of Media and Communication Studies at Karlstad University, Sweden. She holds a PhD from the London School of Economics and Political Science, an MBA from the Open University, and a BA in Cultural Anthropology from Bryn Mawr College. Her research focuses on the political economy of digital platforms, search engines, algorithmic gatekeeping, and gig economy labor dynamics. She also explores data visualization and climate communication. Teaching responsibilities include media theory, strategic communications, science and technology studies, and data visualization courses. Current research projects include 'Algorithms and media organisations' and 'SWEGIG' (job intermediary platforms in Sweden). Her work draws from over three decades of industry experience in digital media, including roles at early internet companies like Cyberia, Easynet, and Webmedia. Education: PhD, London School of Economics and Political Science (2002) MBA, Open University BA, Bryn Mawr College Her research highlights platform power structures, algorithmic accountability, and the socio-economic impacts of digital transformation. Recent work examines AI chatbots' political information retrieval and gig workers' resistance to algorithmic management. She has co-authored influential studies on search engine bias, media literacy, and VR immersion theory. Professional activities include advising projects for Nielsen Online and IAB Europe, while personal interests bridge technology and textile crafts—she has hacked knitting machines using Arduino chips. She collaborates with Karlstad colleagues on interdisciplinary projects and teaches in Swedish ("och svenska!").
Farzaneh Oghazian is an Assistant Professor of Architecture at Louisiana State University's College of Art & Design. She holds a PhD in Design Computing from Penn State University, an MArch from Tarbiat Modares University (Iran), and a BArch from the University of Tehran (Iran). Her work focuses on integrating computational methods with innovative material systems, particularly knitted textiles and bio-based composites. She teaches Architectural Structures III and third-year architecture studios, emphasizing hands-on experimentation with advanced materials and digital fabrication. Her research explores knitted tensioned structures, bio-composite spatial shells, and the intersection of traditional craftsmanship with cutting-edge technologies like 3D printing and machine learning. Notable projects include the award-winning MycoKnit project and the Black Flower Antenna sculpture exhibited at MoMA. Collaborative efforts span material science, structural engineering, and interdisciplinary art. Dr. Oghazian’s academic contributions include developing workflows for simulating knitted architectural forms and advancing computational tools for material prediction. Her teaching philosophy prioritizes creativity through iterative prototyping and cross-disciplinary collaboration. She currently leads research initiatives in Louisiana State University's architecture department, fostering innovation at the nexus of design, technology, and sustainability.
Dr. Michael Hageman is the Valentino J. Stella Distinguished Professor in the Department of Pharmaceutical Chemistry at the University of Kansas and Director of the Biopharmaceutical Innovation & Optimization Center. With over 30 years of pharmaceutical industry experience prior to academia, his career spans both industrial innovation and academic research leadership. Department: Pharmaceutical Chemistry, University of Kansas Lab: Physical Pharmacy and Drug Delivery (P2D2) Lab Core Research: Physicochemical characterization, formulation optimization, and bioperformance analysis of drugs and excipients Key Techniques: Spray-drying, lyophilization, vacuum evaporation, and molecular dynamics simulations Dr. Hageman's lab focuses on three main research objectives: Developing tools to study solubilized formulations at physiological interfaces Applying advanced processing capabilities for amorphous material generation Identifying instability mechanisms in solid-state peptide/protein drugs The P2D2 Lab actively collaborates across disciplines while maintaining close-knit team dynamics. Current graduate researchers include Zahraa Al-Tamimi (intestinal media effects on peptides), Sivani Badrivenkata (protein therapies for underserved populations), Xi Luan (high-concentration protein analysis), Indeewara Munasinghe (molecular synthesis for SCB Core), Benjamin Odei Nyarko (ASD stability), Mengjuan Pang (subcutaneous injection models), Yezan Salamoun (prodrug development), Jack Terry (peritoneal drug delivery), and Anthony Tomlinson (protein-polymer conjugate screening). Scientific advancements from the lab span: Amorphous solid dispersion optimization Subcutaneous delivery system modeling Protein stability and solubility investigations Cyclodextrin formulation applications Computational approaches to drug-polymer interactions Machine learning in dosage form development
Dr. Rebecca Stewart is a Senior Lecturer in the Dyson School of Design Engineering at Imperial College London, with affiliations to the e-Body Lab and the Human Behaviour and Experience Network. Previously, she held positions at Queen Mary University of London in the School of Electronic Engineering and Computer Science. Her research focuses on wearable technology, audio interfaces, and textile-based sensors, emphasizing accessibility and interdisciplinary collaboration. She leads the e-Body Lab, which develops innovative e-textiles and explores their integration into design and healthcare applications. Education: PhD in Electrical and Electronic Engineering from Queen Mary University of London (2006–2010). Her academic roles include Senior Lecturer at Imperial College London (2023–present) and prior Lecturer positions (2016–2023). Research interests span e-textiles, sensor technology, and human-computer interaction, with notable projects like the STELEC initiative and graphene-based wearable sensors. Key contributions include advancements in durable, UV-resistant sensors and collaborations with textile designers to integrate technology into creative practices. Her work bridges engineering, design, and healthcare, addressing challenges in sustainability and user-centric design.
Dr. Levent Trabzon is a Professor in the Department of Mechanical Engineering at Istanbul Technical University. His research focuses on nanomaterials and microfluidics, with significant contributions to graphene applications, nanocomposites, and lab-on-chip systems. He directs multiple TUBITAK-funded projects including 'Versatile Agricultural Applications of Quantum Dot-Enriched Hydrogel Nanocomposites'. Research domains include: Graphene synthesis and functional applications Microfluidic systems for biomedical diagnostics Carbon nanotube-reinforced nanocomposites Quantum dot-enabled technologies Recent publications demonstrate interdisciplinary innovation spanning materials science, biomedical engineering, and nanotechnology. Article trends show increasing focus on sustainable nanomaterials, cancer diagnostic platforms, and smart textile technologies. Awards: Technology for the Benefit of Humanity (2018) Invention Award (2019) Multiple graduation project prizes Lab facilities include advanced nanomaterial characterization equipment and cleanroom microdevice fabrication capabilities supporting 39 graduate theses.
Jenny Lin is an Assistant Professor at the University of Utah's Kahlert School of Computing, specializing in computational fabrication and textile manufacturing. Her research bridges computer science with mathematics, focusing on algorithmic design for textile fabrication processes. She holds a PhD from Carnegie Mellon University (CMU) and a B.E. in Computer Science and Molecular Biology from MIT. Before joining Utah, she was a postdoctoral scholar under Cem Yuksel at Utah, advised by James McCann during her PhD. Research interests include formalizing knit object equivalence via knot theory, machine knitting compilers, and robotic fabrication optimization. She actively seeks students interested in graphics, textiles, and mathematical modeling. Teaching experience includes serving as a TA for CMU's Computational Photography course and guest lecturing on algorithmic textiles at CMU and the University of Washington. PhD: Carnegie Mellon University (Computer Science) B.E.: Massachusetts Institute of Technology (Computer Science & Molecular Biology) Her work has been recognized with a Best Conference Paper nomination at ICRA 2021. She co-runs the University of Utah's Graphics Seminar and maintains the Textiles Lab's Knitout Office Hours program at CMU, offering machine knitting instruction.
Jenny Han Lin is an Assistant Professor at the University of Utah's Kahlert School of Computing. Her research focuses on computational fabrication, particularly the intersection of computer science, textiles, and mathematics. She holds a PhD from Carnegie Mellon University (2024) and a B.E. from MIT, dual-degree in Computer Science and Molecular Biology. Prior to her current role, she was a postdoctoral scholar under Cem Yuksel at the University of Utah, and advised by James McCann during her PhD. Her research interests include algorithmic textiles, robotic fabrication, and mathematical modeling of knitting/crochet processes. Notable work includes applying knot theory to formalize knit object equivalence and developing machine knitting compilers. She actively mentors students interested in graphics, textiles, and mathematical applications in fabrication. Recent publications emphasize textile automation and fabrication planning, with applications in both robotics and computer graphics. Her work on Artin Braid Group representation for knitting machines received recognition as a finalist for the Best Conference Paper at ICRA '21. Jenny has contributed to academic service through roles like organizing SIGBOVIK (a satirical conference fostering early academic writing) and running TechNights STEM outreach. She has co-chaired the SIGBOVIK organizing committee (2019-2022) and developed educational materials for algorithmic textiles through guest lectures at CMU and UW.
Jenny Han Lin is an Assistant Professor at the University of Utah's Kahlert School of Computing. Her research focuses on computational fabrication, particularly leveraging knot theory and low-level computer representations to advance textile manufacturing and real-world phenomenon modeling. She completed her PhD in Computer Science at Carnegie Mellon University under James McCann, preceded by a B.E. in Computer Science and Molecular Biology from MIT. Her work bridges computer graphics, robotics, and mathematics, with notable contributions to machine knitting compilers, braid group theory applications, and crochet representation. She has been a postdoctoral scholar at the University of Utah and taught courses at CMU and the University of Washington. Lin actively promotes textile fabrication through initiatives like Knitout Office Hours and served as SIGBOVIK organizing committee chair (2019-2022), creating an award-winning conference website. Lin's research has been recognized with a finalist award at ICRA 2021. She collaborates widely, mentoring students in interdisciplinary projects at the intersection of computing and physical fabrication.
Rui Xu is a Research Fellow at Stanford University School of Medicine, where he develops machine learning-based algorithms for omics data analysis. His work focuses on creating advanced analytical models and tools tailored to medical and healthcare data. Education: PhD in Human Nutrition (2024) from The Ohio State University Master’s in Electronics and Communication Engineering (2019) from Xiamen University Bachelor’s in Communication Engineering (2016) from Guangxi University His research interests bridge machine learning , bioinformatics , and medical data analysis . Key areas include omics data processing, artificial neural networks, and computational biology, with applications in healthcare systems. Rui Xu contributes to biomedical research through his work in the Aghaeepour lab, which focuses on high-dimensional data analysis and biological interpretation. His interdisciplinary background combines engineering and nutrition sciences. In his personal time, he collects Disney-themed merchandise and engages in crafts like sewing, embroidery, and knitting.
Joanna Berzowska is an Associate Professor in Design and Computation Arts at Concordia University, where she also served as Associate Dean (Research, 2017–2020) and Department Chair (2012–2015). She is the founder and Research Director of XS Labs, a design research studio focused on electronic textiles and reactive garments. Her work explores the intersection of material innovation, interactivity, and cultural impact. Additionally, she leads electronic textiles research at OM signal, a startup developing bio-sensing clothing integrated with iPhones. Her research interests include electronic textiles, responsive garments, wearable technology, and the sociocultural implications of material innovation. Her art and design works have been exhibited globally, including at the Cooper-Hewitt Design Museum, V&A, and Ars Electronica. She is a frequent international speaker on topics such as critical materiality and the ethical dimensions of technology. Key projects include the development of soft electronic circuits, photonic textiles, and bio-sensing garments. Her work emphasizes both technological advancement and aesthetic expression, bridging art, design, and engineering. She was honored on Maclean's Honour Roll (2018) for contributions to socially impactful innovation. Her academic contributions span teaching, research leadership, and cross-disciplinary collaboration. She has supervised numerous projects in wearable tech, interactive textiles, and human-centered design methodologies. Current research focuses on optimizing biosensing garments and exploring the role of textiles in mediating human-environment interactions.
Alessandro Tognetti is an Associate Professor in Bioengineering at the Department of Information Engineering, School of Engineering, University of Pisa, and a key member of the E. Piaggio Research Center. He has been actively involved in research and teaching since 2001, focusing on wearable technologies, biosensors, and human-robot interaction. He leads several European and national projects and teaches core courses such as 'Biosensors' and 'Minimally Invasive Devices'. His educational background includes a Laurea in Electronics Engineering (2001) and a PhD in Robotics, Automation and Bioengineering (2005), both from the University of Pisa. Tognetti's research centers on the development of multimodal wearable systems for monitoring human posture, movement, and physiological signals in real-world environments. His work spans smart textiles, flexible sensors, data fusion, and applications in rehabilitation, e-health, and robotics. He emphasizes unobtrusive, integrated solutions such as chest bands for stress detection and sensorized garments for motion capture. The 15 most recent articles reflect a consistent trajectory in wearable sensing, with increasing sophistication in sensor materials (e.g., conductive elastomers, knitted piezoresistive fabrics), multimodal integration (ECG, inertial, textile), and applications in rehabilitation and human-machine interaction. A clear evolution from component-level development to system-level fusion and real-world deployment is evident. Project MANOROBOTICA selected by Regione Toscana as one of 24 excellent projects out of 2536 He has supervised around 40 master’s theses, 3 research collaborators, and 1 postdoctoral fellow. His research has been funded by major grants including FP7 projects (PROETEX, INTERSTRESS, CEEDS, EASEL) and national initiatives (PRIN, Regione Toscana). He serves as Editor-in-Chief for the ICT section of Technologies and Associate Editor for Frontiers in Bioengineering and Biotechnology . Tognetti is deeply embedded in the E. Piaggio Research Center, where his work contributes to labs focused on Human-Relevant Models, Wearable Monitoring Systems, and Soft Robotics. He collaborates internationally with institutions such as XSens, University of Twente, Macquarie University, and SPECS-UPF.
Prof. Dr.-Ing. Ahmet Ünal is a Professor and Chair of Knitting Technology at Reutlingen University's TEXOVERSUM School of Textiles. He also serves as the Head of the Internship Office for Textile Technology and Textile Management. His teaching focuses on Mesh Technique and Machine Technology, with expertise in textile machinery and process optimization. Affiliations: Reutlingen University, TEXOVERSUM School of Textiles, Chair of Knitting Technology Contact: +49 7121 271 8077 | ahmet.uenal@reutlingen-university.de | Building 1, Room 123A His research interests include advanced knitting technologies, sustainable textile production, and the integration of digital tools in textile engineering. He leads projects related to textile machinery innovation and has contributed to initiatives like the Texoversum's interdisciplinary research network. No specific articles or awards are listed in the provided text, but his role suggests involvement in projects such as InBiO (Interactive, bio-based surfaces) and DiTex (Digital Technologies for Circular Textile Industry).
Joris van Dam is a Researcher at Delft University of Technology, affiliated with the Faculty of Industrial Design Engineering and the Electrical Engineering, Mathematics and Computer Science faculty. He is based at the Else Kooi Laboratory (EKL), where he contributes to advanced research in smart textiles, mixed reality, and digital twins for robotics. His work is centered on the development of innovative sensing technologies and human-machine interaction systems. His research interests include Smart Textiles, Wearable Sensors, Strain Sensors, Mixed Reality, Digital Twins, Robotics, Advanced Manufacturing, Human-Computer Interaction, Soft Robotics, and Material Sensing. These areas reflect his focus on integrating flexible, textile-based sensors into interactive and robotic systems to enhance functionality and user experience. The recent publications highlight a strong trend in the development of high-performance knitted strain sensors for smart textile applications, with a focus on achieving linear and hysteresis-free responses. His earlier work on Mirrorlabs explores the use of Mixed Reality to create accessible Digital Twins of robotic production environments, indicating a multidisciplinary approach combining materials engineering, robotics, and immersive technologies. Joris van Dam is involved in key research projects such as the Center for Design for Advanced Manufacturing (CDAM), Operator of the Future, Smart Textiles Research, Augmented and Virtual Reality, MirrorLabs, and the Painting Robot project. These initiatives underscore his role in advancing next-generation manufacturing and human-centered design technologies.
