جست‌وجوی استاد و پژوهشگر

• Parallel and Distributed Systems
• Machine Learning
• Embedded Systems
• +۴ مورد دیگر

Dr. Kadir Özlem is a Researcher at Istanbul Technical University's Department of Computer Engineering within the Computer and Informatics School. His work bridges computer engineering with soft robotics and wearable technology, focusing on textile-based sensor systems and actuation mechanisms. PhD in Computer Engineering 2018–present: Researcher at Istanbul Technical University 2016–2018: Software Engineer at Pinnera His research spans soft robotics , machine learning , sensor systems , and textile engineering . Recent projects explore: Cloud-based control systems for telerehabilitation gloves Fog computing frameworks in electronic textiles Thermally actuated textile exoskeletons Scalable fabrication of biaxial fabric motors He has contributed to 20+ publications since 2019, focusing on capacitive sensors , gesture recognition , ECG monitoring , and smart clothing . Collaborations span Turkey, Czech Republic, Poland, and Switzerland. His work integrates computer science with materials engineering , creating wearable systems for health monitoring, rehabilitation, and interactive applications. He utilizes 3D knitting , fog computing , and nature-inspired designs to develop flexible, scalable solutions.

Scott Edward Stapletonمشاهده پروفایل

استاد

• Solid Mechanics
• Composite Materials
• Textiles
• +۷ مورد دیگر

Scott Edward Stapleton is a Professor in the Department of Mechanical and Industrial Engineering at the University of Massachusetts Lowell. He leads research in solid mechanics, composite materials, and multi-scale modeling, with applications in textiles, adhesively bonded joints, sandwich structures, and tissue engineering. Stapleton earned his PhD in Aerospace Engineering from the University of Michigan and holds two Master's degrees (Aerospace Engineering from University of Michigan and Mechanical Engineering from University of Utah). Doctor of Philosophy (PhD): Aerospace Engineering, University of Michigan - Ann Arbor Master of Science (MS): Aerospace Engineering, University of Michigan - Ann Arbor Master of Science (MS): Mechanical Engineering, University of Utah - Salt Lake City Bachelor of Science (BS): Mechanical Engineering, University of Utah - Salt Lake City Bachelor of Arts (BA): German, University of Utah - Salt Lake City His research group develops advanced finite element models for composite materials and structures, focusing on manufacturing-induced effects, multi-scale simulations, and biomedical applications like tissue-engineered heart valves. Recent publications highlight statistical microstructure generation, radiation-responsive adhesives, and entanglement modeling in textiles. Stapleton has received the Solvay Student Paper Award (2022) and collaborates with institutions such as the Institute of Textile Technology (RWTH Aachen University) and the Institute of Applied Mechanics (RWTH Aachen University). His work spans applications in wind energy, aerospace, and biomedical devices.

Skylar Tibbitsمشاهده پروفایل

دانشیار

• Self-Assembly Technologies
• Programmable Materials
• 4D Printing
• +۴ مورد دیگر

Skylar Tibbits is an Associate Professor of Design Research at MIT's Department of Architecture, where he leads undergraduate programs and co-directs the Self-Assembly Lab. His roles include teaching design studios and coordinating MIT's undergraduate Design programs. He is also an Assistant Director for Education at the Morningside Academy for Design. His work focuses on programmable materials and self-assembly technologies for manufacturing, construction, and product innovation. Education: Bachelor of Architecture (Professional Degree) from Philadelphia University with a minor in experimental computation Master of Science in Design Computation from MIT Master of Science in Computer Science from MIT, advised by Patrick Winston, Terry Knight, Erik Demaine, and Neil Gershenfeld Research Interests: Self-assembly systems and programmable material technologies 4D printing and shape-changing materials Robotics, smart manufacturing, and architectural applications Material agency and adaptive systems His lab explores innovations like reversible textile transformation, active haptic knits, and gel-supported 3D printing. Key Awards: R&D Magazine's 2015 Innovator of the Year National Geographic Emerging Explorer (2015) WIRED Fellow (2014) Fast Company Innovation by Design Award (2013) Advising & Labs: Director of MIT's undergraduate Design programs Founder and co-director of the Self-Assembly Lab Collaborates with industry leaders in architecture, robotics, and materials science Future Work: Expanding applications of programmable matter in construction, healthcare, and wearable technologies.

Ursula Zilligمشاهده پروفایل

استاد

• Fashion Design
• Textile Innovation
• Artistic Research
• +۳ مورد دیگر

Ursula Zillig is a Professor of Fashion Design at the University of the Arts Bremen, leading the 'Unique Pieces and Programs' department since 2005. She previously taught at the UdK Berlin and worked in the international fashion industry. She holds memberships in the Art and Design Department Council, Examination Committee, and serves as a Conflict Mediator. Alongside Professors Dorothea Mink and Kai Lehmann, she co-leads the Masterstudio 'Human, Fashion, and Society.' Zillig studied Fashion Design in Trier, Madrid, and New York. Her teaching focuses on experimental design processes, collection development, and interdisciplinary collaboration. Key projects include the 'Put a Ring on It' workshop combining traditional craftsmanship with modern techniques, and annual excursions to Milan's Salone del Mobile. Her courses emphasize material innovation, performance art, and sustainable design practices. Her publications like the BREATHE series (Volumes 2-4) explore themes such as love, cultural exchange, and material versatility. Recent events include a successful presentation at the NEO.FASHION Graduate Show in Berlin (2019) and a performance 'ON SPORTS. NO SPORTS.' (2024). She has secured a DFG-recommended digital knitting machine, enhancing technical capabilities at the university.

William Perrineمشاهده پروفایل

مدرس ارشد

• Social Justice in Apparel Industry
• Sustainable Consumption
• Fair Trade
• +۳ مورد دیگر

William Perrine is a Senior Lecturer at Kent State University's Department of Fashion Design & Merchandising within the College of the Arts. He teaches courses on social justice in the apparel industry, Photoshop/Illustrator, and global apparel economics. He advises the Kent State Fashion Students Organization (FSO), a longstanding campus group established in 1983. His research focuses on social justice in fashion, sustainable consumption, and international industry dynamics. He has taught at Western Michigan University, Iowa State University, and Izmir University of Economics, and has retail experience with Sears, Limited Inc., and visual merchandising roles in Turkey and the U.S. Education: PhD (Iowa State University, 2005 dissertation on Gen Y’s Fair Trade attitudes), M.A. (Western Michigan University, store preferences of Turkish consumers), B.A. (Dominican University). He engages with media through National Public Radio’s fashion segments, Crain’s Cleveland Business, and TV appearances on career dressing strategies. His professional activities include advising on the Fashion/Tech Hack-a-thon and operating Kent State’s TechStyleLab with Stoll knitting machines.

Rory Simmonsمشاهده پروفایل

مدرس

• Forensic Science
• Forensic Investigation
• Multivariate Analysis
• +۳ مورد دیگر

Rory Simmons is a Lecturer at the University of Cumbria since 2018, specializing in forensic investigation. He teaches modules like Crime Scene Investigation and Forensic Examination , emphasizing hands-on laboratory skills. His research focuses on multivariate analysis, machine learning in forensics, and evidence optimization, contributing to UK policy on fingermark enhancement. Education: Bachelor’s in Forensic Science (Abertay University, Dundee) PhD in Forensic Textile Analysis (Northumbria University, Newcastle) Research highlights include publishing in Forensic Science International and Journal of Forensic Identification . He developed the university’s Major Incident Exercise , a multidisciplinary annual event where students progress from crime scene investigators to team leaders. Awards include the Chartered Society of Forensic Sciences Prize and Wright Health Group Prize. Teaching philosophy emphasizes student mentorship, fostering a close-knit academic community. Outside academia, he enjoys American football, cooking, and tabletop RPGs.

Bidyut Dasمشاهده پروفایل

مدرس

• Textile Education
• Knitting Techniques
• Fashion Design
• +۳ مورد دیگر

Bidyut Das is a textile teacher and Sessional Tutor at Ravensbourne University London, specializing in fashion and textile disciplines. He has extensive experience teaching across multiple institutions, including Ravensbourne, Central Saint Martins College, and South Essex College. His expertise includes curriculum design and delivery in textiles, knit techniques, and technical drawing using domestic machines and hand-knitting methods. Teaching roles span foundational courses such as the Foundation Diploma in Art and Design (Ravensbourne), BA (Hons) Textile Knit (Central Saint Martins), and FdA Fashion & Textile (South Essex College). He is adept at both classroom leadership and one-to-one student guidance, emphasizing hands-on technical skills in textile production and fashion design.

• Experimental Physics
• Soft Matter
• Statistical Physics
• +۳ مورد دیگر

Frédéric Lechenault is an Associate Professor in AI at PSL University and a CNRS researcher in experimental physics. His work focuses on mechanical metamaterials, statistical physics, and applications of AI, including reinforcement learning for physical systems and seismic risk evaluation. He leads the ANR MERLIN project to simulate RNA dynamics for pharmaceutical advancements. His research integrates interdisciplinary approaches, combining experimental physics with machine learning techniques. Key projects include exploring memory effects in disordered systems and developing predictive models for seismic events using unsupervised learning. Frédéric actively teaches machine learning techniques at PSL University and collaborates on cutting-edge AI applications in materials science and biophysics. His contributions bridge fundamental physics and computational methods, driving innovation in both academic and applied contexts.

Karl Kjelstrup-Johnsonمشاهده پروفایل

مدرس ارشد

• Intelligent Systems
• Symbiotic Cognitive Architecture
• Architecture
• +۷ مورد دیگر

Karl Kjelstrup-Johnson is a Senior Lecturer and Director of Defence and Security (DASOBU) at Oxford Brookes University's Faculty of Technology, Design and Environment. He leads the Apprenticeships Programme and conducts research in Symbiotic Cognitive Architecture, enhancing decision-making through intelligent systems. His academic roles include running a Master's Design Studio and contributing to Smart Geometry, an advanced computation collective. Education: - AA BArch(Hons), Architectural Association (2005) - AA Dipl, Architectural Association (2009) Research Interests: Psycho-Spatial-Temporal strategies for Deep Structured Learning 4D personalized information systems integrating mind-body-machine symbiosis Parametric bio-technologies for medical rehabilitation and performance enhancement Grants & Projects: Project INTERLINKED (2024), funded by Counter Terrorism Policing (£43,344) Founder of Tectonic IP (2012) and Skin Graph (2010) Labs/Teams: Leads Tectonic IP (R&D consultancy) and Skin Graph (bio-technologies), and collaborates with institutions like the AIDAS Institute and DTP Group.

Yuyuan Shiمشاهده پروفایل

مدرس

• 3D Weaving Innovation
• Apparel Manufacturing
• Digital Fashion
• +۳ مورد دیگر

Yuyuan Shi is a Lecturer at Northumbria University, specializing in 3D weaving innovation and apparel technology. She holds a PhD in Technologies from the University of Leeds (2023), an MEng in Engineering from Sichuan University (2018), and a BA in Fashion Design from the same institution (2015). She is also a Visiting Researcher at RWTH-Aachen University, Germany, funded by the AROP Program, where she focuses on cross-disciplinary textile research. Her research integrates cutting-edge weaving technologies with digital tools, emphasizing sustainable apparel manufacturing, zero-waste production, and functional wearables like sportswear and protective gear. Key projects include Scan2Weave (linking body scanning to 3D weaving) and biomimetic composites for performance apparel. Her work bridges traditional textile practices with modern digital systems, addressing both industry efficiency and cultural heritage preservation. Yuyuan’s contributions span biomimetic material design, anthropometric data applications, and wearable health monitoring systems. Her research themes align with Northumbria’s interdisciplinary focus on smart manufacturing and sustainable innovation. She actively collaborates internationally, reflecting her commitment to advancing textile technologies globally.

Branka Ružičićمشاهده پروفایل

استادیار

• Textile Printing Technologies
• Materials Science
• Colorimetric Analysis
• +۴ مورد دیگر

Branka Ružičić is an Assistant Professor at the Faculty of Technology, University of Banja Luka, specializing in Graphic Engineering. She holds a position in the Department of Graphic Engineering and has been active in academic roles since at least 2010. Her research focuses on textile printing technologies, materials science, and colorimetric analysis with a particular emphasis on antimicrobial textiles, digital printing parameters, and wash resistance of fabrics. Education & Projects Active in multiple national and international projects since 2010, including 'Fazno promjenljivi materijali i bentoniti u antimikrobnoj obradi tekstila ekstraktima ljekovitih biljaka' (2024-2025) and 'Dielektricne osobine polimernih kompozita' (2024). Participated in projects funded by the Ministry of Science and Technology Development of Republika Srpska and international collaborations. Research Interests Development of antimicrobial textiles using plant extracts and modified bentonites. Optimization of digital and screen printing techniques for textile durability and functionality. Thermal and dielectric properties of printed polymer composites. Color measurement and analysis in textile processes. Material science applications in wearable technology and functional fabrics. Awards & Recognition No specific awards listed, but her work has been published in journals like Journal of Materials Science , Coloration Technology , and International Journal of Clothing Science and Technology . Grants & Funding Lead and co-investigator in projects totaling over 30,000 BAM in funding since 2019. Recipient of grants for equipment procurement (e.g., digital printing machines) and research initiatives. Labs & Teams Member of research groups focused on graphic engineering, textile chemistry, and materials science within the Faculty of Technology. Collaborates with international partners in Slovenia (University of Ljubljana) and Germany (University of Applied Sciences, Essen).

• Artificial Intelligence
• Human-Computer Interaction
• Robotics
• +۱۳ مورد دیگر

Assoc. Prof. Dr. Gökhan İnce is a faculty member at Istanbul Technical University (ITU) in the Department of Computer Engineering, under the Computer and Informatics unit. He holds a PhD from Tokyo Institute of Technology and has held research positions at Honda Research Institute in both Japan and Germany. His academic and research profile is deeply rooted in artificial intelligence, human-computer interaction, robotics, and smart wearable technologies. PhD, Tokyo Institute of Technology, 2008–2011 MSc, Technische Universität Darmstadt, 2004–2007 BSc, Istanbul Technical University, 1999–2004 His research spans a wide range of topics including speech recognition, emotion recognition, brain-computer interfaces, e-textiles, fog computing, and IoT-based rehabilitation systems . He actively develops intelligent systems for real-world applications such as telerehabilitation, scoliosis monitoring, and AI-driven enterprise solutions. The recent publication trends show a strong focus on textile-based wearable sensors, multimodal emotion recognition, fog computing frameworks, and AI integration in business processes . His work combines hardware innovation with advanced machine learning, particularly in adversarial and transfer learning paradigms. Scientific Awards and Recognitions: Üstün Başarı Ödülü, YÖK, 2024 En Başarılı Tez Ödülü, ITU, 2024 Best Paper Award, IARIA, 2017 and 2016 Best Presentation Award, Signal Processing Applications Conference, 2016 Best Paper and Best Student Paper, IEA-AIE Conference, 2010 BİDEB Postdoctoral Research Fellowship, 2014 He has led and supervised 30 research projects and over 125 research outputs , including numerous peer-reviewed articles and conference contributions. He serves as Principal Investigator (PI) on multiple ongoing projects in AI, smart textiles, and data integration. He is also a member of professional organizations including IEEE, ISCA, and ISAI, and contributes to open science initiatives. His work is conducted through interdisciplinary teams focusing on smart textiles, robotics, AI systems, and biomedical applications . These teams bridge engineering, computer science, and healthcare to develop next-generation assistive and intelligent technologies.

Halil İbrahim Çelikمشاهده پروفایل

استاد

• Textile Sciences and Engineering
• Textile Technology
• Machine Vision Applications
• +۵ مورد دیگر

Professor Halil İbrahim Çelik is a distinguished academic at Gaziantep University's Faculty of Engineering, Department of Textile Engineering, where he has served since 2005, progressing from Research Assistant to his current position as Professor (since 2024). His academic journey includes significant contributions to textile engineering, with particular expertise in machine vision applications, artificial intelligence in textiles, and carpet technology. He has held various administrative positions including Intern Tracking Coordinator, Social Awareness Projects Coordinator, ÖYP Coordinator, and Farabi Coordinator at Gaziantep University. Professor Çelik earned his education at Gaziantep University, completing his Doctorate in Mechanical Engineering (2007-2013), Master's in Textile Engineering (2004-2007), and Bachelor's in Textile Engineering (1999-2004). He also holds an Associate Degree in Foreign Trade from Anadolu University (2004-2006). His research interests span Textile Sciences and Engineering, Textile Technology, Machine Vision Applications, Artificial Intelligence in Textiles, Smart Textiles, Carpet Technology, and Composite Materials Testing. Professor Çelik has pioneered work in AI applications for fabric defect classification, machine vision systems for textile quality control, and innovative testing devices for carpet performance measurement. His research bridges traditional textile engineering with cutting-edge computational methods, creating practical industrial applications. Analysis of his recent publications reveals a strong focus on integrating artificial intelligence with textile manufacturing processes, particularly in quality control and predictive modeling. His work demonstrates a consistent trajectory toward developing smart, automated systems for textile production and quality assessment, with significant contributions in machine vision solutions for fabric inspection, AI-based property prediction, and innovative testing methodologies for carpets and composite materials. Among his recognitions, Professor Çelik received the 'Best University Reviewer' award from Osmaniye Korkut Ata University in 2017. His leadership extends to numerous research projects, including TÜBİTAK 1005 and 1505 projects focused on developing intelligent systems for textile quality control and innovative testing devices. Professor Çelik has supervised numerous graduate students, with completed theses covering topics such as AI applications in textile engineering, machine vision systems, carpet technology innovations, and sustainable textile production methods. His research group has secured significant funding through national research projects, particularly in the areas of machine vision for textile quality control and innovative carpet testing methodologies. His research team has developed several patented innovations, including earthquake warning filter systems, carpet static loading test devices, alternative finishing methods for woven carpets, and artificial vision systems for nonwoven surfaces. These developments demonstrate his commitment to translating academic research into practical industrial applications.

MEHMET MERKEPÇİمشاهده پروفایل

استادیار

• Cryptography
• Artificial Neural Networks
• Biomedical Engineering
• +۲ مورد دیگر

Mehmet Merkepçi serves as an Assistant Professor in the Department of Computer Engineering at Gaziantep University's Faculty of Engineering, Turkey. Holding a Doctorate in Electrical and Electronic Engineering (2017), he has maintained continuous academic affiliation with the university since 2007 through progressive roles from Research Assistant to his current position. Academic Background: Doctorate (2017): Gaziantep University, Institute of Science, Electrical and Electronic Engineering Master's (2009): Gaziantep University, Institute of Science, Electrical and Electronics Engineering Bachelor's (2000): Karadeniz Technical University, Faculty of Engineering, Electrical-Electronic Engineering Merkepçi's research demonstrates exceptional interdisciplinary breadth with core emphasis on Cryptography and Artificial Neural Networks . His recent work pioneers neutrosophic number theory applications in public key cryptography, significantly advancing RSA and El Gamal algorithms. Parallel research trajectories include biomedical signal processing using photoplethysmography for non-invasive monitoring systems, and textile engineering innovations in fabric porosity and air permeability analysis. This multifaceted approach bridges theoretical mathematics with practical engineering solutions across diverse domains. Publication analysis reveals 10 journal articles concentrated in 2022-2025, with cryptographic research constituting 60% of recent output. The remaining publications demonstrate sustained engagement in biomedical engineering (20%) and textile science (20%), indicating strategic diversification while maintaining cryptographic expertise as the research cornerstone. This distribution reflects deliberate specialization in security-critical applications alongside targeted explorations of neural network implementations in physical systems. Merkepçi teaches advanced courses including Security Engineering and Occupational Safety at graduate level, and foundational undergraduate instruction in Computer Programming, Database Management, and Engineering Mechanics. His administrative service includes Department Vice Chairman (2020-present) and former Department Head (2020-2024), demonstrating institutional leadership alongside research and teaching responsibilities.

Daniel Overholtمشاهده پروفایل

دانشیار

• Sound and Music Computing
• Human-Computer Interaction
• Digital Musical Instruments
• +۳ مورد دیگر

Daniel Overholt is an Associate Professor at Aalborg University's Department of Architecture, Design and Media Technology , affiliated with the Technical Faculty of IT and Design . His work bridges sound technology, human-computer interaction, and physiotherapy applications. Lead researcher in multiple projects (ImprovAIze, FMN, NEMID) Expert in augmented instruments and affective computing Active contributor to Sound and Music Computing conferences Research focuses on interactive music systems , integrating motion recognition , biofeedback , and open-source technologies . Recent projects explore urban soundscapes, cultural heritage, and assistive tools for sensory impairments. His 2024 publications highlight knitting-powered interfaces , dynamical audio systems , and motion-affect interaction . Research outputs span 76 publications and 7 projects since 2003, showing consistent innovation in music technology and interactive systems . Contact: dano@create.aau.dk | ORCID