جستجوی استاد راهنمای دانشگاهی

Stefanie Muellerمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Computational Fabrication
• 3D Printing
• +۷ مورد دیگر

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.

• Human-Computer Interaction
• Textile User Interfaces
• Soft Robotics
• +۵ مورد دیگر

Jan Oliver Borchers is a full professor of computer science and head of the Media Computing Group at RWTH Aachen University, where he holds the endowed Chair in Media Informatics and Human-Computer Interaction (Computer Science 10). He established his research group in 2003 and pioneered modern HCI academic research and teaching in Germany, becoming a leading lab in terms of archival publications at CHI, the top international conference in HCI. Before joining RWTH, he held faculty positions at Stanford University and ETH Zurich. His research focuses on Human-Computer Interaction with particular interest in new user interfaces for soft robotics, textile user interfaces, 3D printing and personal fabrication, augmented reality, wearable and tangible computing, interfaces for software development, deceptive patterns, and interactive guides and exhibits. He opened Germany's first Fab Lab in 2009 and has been instrumental in advancing digital fabrication and maker culture in academia. His work bridges theoretical HCI research with practical applications, as evidenced by his consulting for major companies including AirBus, Apple, ARD, Bayer, Children's Museum Boston, Daimler, Handelsblatt, OTIS, Scout24, TEDx, and Deutsche Telekom. His recent publications show a strong focus on deceptive patterns in UI design, textile interfaces, and the intersection of AI with human interaction. The research demonstrates consistent innovation in tactile interaction techniques, with numerous honorable mentions at top conferences like CHI. His lab has produced significant contributions to eyes-free interaction, textile computing, and the ethical implications of dark patterns, particularly regarding children's experiences with deceptive designs. IDC 2025 Best Work in Progress for research on children's assessment of deceptive designs CHI'25 Student Games Competition Winner for The Deceptive Dungeon RWTH-Wissenschaftsnacht 2024 Best Science Slam for Usability: 4 Prinzipien guter User Interfaces Multiple CHI Honorable Mentions spanning from 2008-2021 Best Note and Best Demo awards at ITS and UIST conferences Borchers has served in numerous leadership roles including heading the Computer Science Department's Examination Board (2015-2025), coordinating the department's public relations since 2010, and organizing the weekly Faculty Lunch since 2003. He is an active member of the ACM, SIGCHI, SIGCHI Germany, and GI, and introduced the Interactivity format to the CHI conference in 2005. His PhD thesis, A Pattern Approach to Interaction Design, became the first book to bring design patterns to HCI. The Media Computing Group under his leadership has developed significant expertise in physical computing, textile interfaces, and fabrication technologies, with a strong emphasis on both theoretical contributions and practical applications. His lab continues to push boundaries in interactive technologies while maintaining a strong ethical stance on user experience, particularly regarding deceptive design patterns.

• Human-Computer Interaction
• User Interface Design
• Soft Robotics
• +۱۰ مورد دیگر

Jan Borchers is a full professor of computer science and head of the Media Computing Group, an endowed Chair in the Computer Science Department at RWTH Aachen University. He serves as deputy member of the Faculty Council for Mathematics, Computer Science and Natural Sciences (2024-2026) and previously headed the Computer Science Department's Examination Board from 2015 until February 2025. Borchers established his research group in 2003, pioneering modern HCI academic research and teaching in Germany, and opened Germany's first Fab Lab in 2009. Borchers received his PhD 'summa cum laude' in computer science from Darmstadt University of Technology in 2000. Before joining RWTH Aachen, he held faculty positions at Stanford University and ETH Zurich. His PhD thesis, 'A Pattern Approach to Interaction Design,' became the first book to bring design patterns to HCI. His research focuses on Human-Computer Interaction with particular interest in new user interfaces for soft robotics, textile user interfaces, 3D printing and personal fabrication, augmented reality, wearable and tangible computing, interfaces for software development, deceptive patterns, and interactive guides and exhibits. He is a member of ACM, SIGCHI, SIGCHI Germany, and GI, and introduced the Interactivity format to the CHI conference in 2005. Recent publications reveal a strong emphasis on deceptive patterns/dark patterns in UI design, textile interfaces, and the impact of generative AI on creative teamwork. His work spans from fundamental research in interaction techniques to practical applications in smart homes, accessibility, and children's interfaces, with a consistent focus on usability and user-centered design. IDC 2025 Best Work in Progress: 'If They Have No Choice, They'll Accept!' CHI'25 Student Games Competition Winner: 'The Deceptive Dungeon' RWTH-Wissenschaftsnacht 2024 Best Science Slam: 'Usability: 4 Prinzipien guter User Interfaces' Multiple CHI/UIST Honorable Mentions and Best Paper awards spanning two decades Author of influential books including 'A Pattern Approach to Interaction Design' and 'Arduino In A Nutshell' Borchers has provided extensive consulting, training, and user interface design services to major clients including AirBus, Apple, ARD, Bayer, Children's Museum Boston, Daimler, Handelsblatt, OTIS, Scout24, TEDx, and Deutsche Telekom. He actively organizes the Computer Science Department's weekly Faculty Lunch since 2003 and coordinates the department's public relations and web presence since 2010. He leads the Media Computing Group, which has become a leading German lab in terms of archival publications at CHI, the top international conference in HCI. Since March 2025, he serves as faculty patron for TechLabs Aachen, a student initiative providing practical digital skills training.

John Nassourمشاهده پروفایل

پژوهشگر

• Computational Cognitive Systems
• Robotics
• Wearable Robotics
• +۵ مورد دیگر

John Nassour is a Researcher at the Technical University of Munich's School of Computation, Information and Technology, affiliated with the Chair of Cognitive Systems. He holds engineering degrees from Tishreen University (electronics), a Master's in intelligent systems from University of Cergy-Pontoise/École Nationale Supérieure de l'Électronique, and a joint PhD from University of Versailles/TUM. His interdisciplinary research focuses on computational cognitive systems applied to robotics, including wearable devices, humanoid robots, soft robotics, and robot learning for locomotion/manipulation. Before joining TUM in 2020, he was a lecturer/researcher at Chemnitz University of Technology. He teaches courses in cognitive systems, neuro-inspired engineering, and soft robotics.

• Human-Computer Interaction
• Embodied Interfaces
• Digital Sovereignty
• +۴ مورد دیگر

Alexander Müller-Rakow is a Researcher and PhD Candidate at the Design Research Lab at Berlin University of the Arts. His work explores the interplay between embodied interfaces , digital sovereignty , and social design , focusing on bodily movements as a medium for musical and interactive technologies. Education: Industrial and Interaction Design (University of Applied Science Magdeburg, University of Bergen) Current Roles: Research Scientist (Design Research Lab), Lecturer (Hochschule für Kunste Bremen, others) His research spans haptic technology , textile-integrated sensors , and experimental interfaces , often intersecting with digital justice and material interactions . Early-career publications include collaborations on capacitive sensing and urban design interventions , reflecting his interdisciplinary approach. As part of the Design Research Lab, he contributes to projects addressing inclusive digital futures , smart urban mobility , and collaborative tools , aligning with the lab's mission for ecologically sustainable design .

Berit Greinkeمشاهده پروفایل

استادیار

• Wearable Computing
• Electronic Textiles (E-Textiles)
• Smart Materials
• +۴ مورد دیگر

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.

Martin Luccarelliمشاهده پروفایل

استاد

• Sustainable Design
• Industrial Design
• Material Design
• +۵ مورد دیگر

Prof. Dr. Martin Luccarelli serves as Professor of Industrial and Material Design and Deputy Head of the Teaching and Research Centre for Interactive Materials (LFZ IMAT) at Reutlingen University's TEXOVERSUM School of Textiles. His expertise bridges sustainable design, material innovation, and user-centered product development. Teaching Areas: Industrial/material design Location: Building 1, Room 116 Research focuses on green design cues , interactive materials , and sustainable product personality , particularly in automotive contexts. Publications highlight interdisciplinary approaches to design education , eco-friendly material perception , and user interface optimization . Key projects include InBiO (bio-based car interiors) and KICKup (AI-driven cellulose cycles). Contact: martin.luccarelli@reutlingen-university.de

Bruno Fruchardمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction (HCI)
• Haptics
• Embodied Interaction
• +۳ مورد دیگر

Bruno Fruchard is a Researcher at Inria in the Loki team in Lille, France. He previously held a postdoctoral position at the Human-Computer Interaction (HCI) Lab at Saarland University, Germany, and completed his PhD in Computer Science focused on HCI at Télécom Paris (formerly Télécom ParisTech). His research centers on adaptable interaction techniques, novel interfaces, and haptic systems, with a focus on embodied interaction and wearable technologies. Key areas of interest include designing haptic feedback systems (e.g., TactJam, Weirding Haptics), exploring microgestures for wearables (e.g., MicroPress, SoloFinger), and applying user-centered design to sports analytics (e.g., lead climbing performance tools with the French Federation of Climbing). His projects span prototyping tools for on-body interfaces (BodyStylus, Polysense), evaluating recall-based interaction techniques, and critical design explorations like Eyecam, which examines sensing device ethics. Collaborative haptic design frameworks (CollabJam) and empirical studies on user memorization and interaction efficiency are also central to his work.

• Computer Science
• Machine Learning
• Health Monitoring Systems
• +۷ مورد دیگر

Muhammad Waqas is a researcher affiliated with COMSATS University Islamabad , where he holds a position in the Department of Meteorology under the School of Applied Sciences and Humanities . His academic collaborations span institutions like Bahria University, National University of Technology, and University of Bahrain, indicating a multidisciplinary approach. Research interests include Mechanisms for integrating fuzzy logic and machine learning in health monitoring Application of deep learning to medical imaging and clinical diagnostics Development of smart sensors for wearable technology in biomechanics Analysis of social media data for public health surveillance and sentiment analysis Investigation of digital citizenship and ICT leadership in educational contexts Trends in his 15 most recent publications (2025-2024) reveal a focus on medical diagnostics (e.g., monkeypox, breast cancer), smart infrastructure (e.g., sensor placement, structural health monitoring), and social media analytics for health and behavioral insights. These works leverage machine learning , fuzzy systems , and multi-objective optimization .

Robert Göstlمشاهده پروفایل

استاد

• Polymer Chemistry
• Mechanochemistry
• Materials Science
• +۲ مورد دیگر

Prof. Robert Göstl is a Professor leading the Research Group Göstl at RWTH Aachen University, with a concurrent position as Associated Scientist at the University of Wuppertal. His research bridges synthetic organic chemistry, polymer chemistry, photophysics, and materials science, focusing on mechanoresponsive biomaterials and polymer mechanochemistry. His group investigates stress interactions with materials through innovative approaches like molecular fractography and force-induced bond scission. Key research areas include: Development of optical force probes for polymer damage analysis Ultrasound-activated therapeutic release systems Mechanochemical activation of biomolecules Design of stimuli-responsive hydrogels and microgels Analyses of recent publications show strong emphasis on ultrasound-mediated drug delivery (40% of recent works), advanced polymer characterization techniques (25%), and biomaterial applications (35%). Primary methodologies include mechanophore design, super-resolution microscopy, and nanoparticle-polymer composites. Prof. Göstl currently supervises six PhD students working on projects including: Microgel-cell interactions Nanoscale fractography of composites Force-induced reaction pathways Thermally stable optical probes His laboratory develops experimental platforms for polymer mechanochemistry including specialized synthesis routes, confocal microscopy setups, and ultrasound application systems for material testing.

• Textile Engineering
• Composite Materials
• Sustainable Textiles
• +۳ مورد دیگر

Thomas Gries is a Professor at RWTH Aachen University 's Department of Textile Technology . He serves as the Director of the university's textile machinery department, leading research in composite materials, sustainable textiles, and advanced manufacturing technologies. Current Role: University Professor & Director, Chair of Textile Machinery Research Focus: Textile engineering, carbon fiber composites, sustainable manufacturing, digital twins His work spans experimental studies on fiber-reinforced composites, AI-driven process optimization, and lunar regolith-based fiber production for space applications. Collaborations include public research projects with industrial partners and events like the WIRKTag 2025 on AI in work design. Recent publications analyze: Mechanical behavior of natural/synthetic fiber composites Recycled thermoplastic composite thermoforming 3D-woven CFRP structural optimization Moon-based fiber production from lunar materials Environmental impact assessment tools for textiles

Hendro Wicaksonoمشاهده پروفایل

استاد

• Data-Driven Approaches
• Causal AI
• Explainable AI
• +۵ مورد دیگر

Prof. Hendro Wicaksono is a Professor of Data-Driven Industrial Systems at the School of Business, Social & Decision Sciences, Constructor University Bremen gGmbH. His expertise lies in applying AI and data-driven methods to enhance decision-making in complex industrial systems. He holds a Dr.-Ing. from Karlsruhe Institute of Technology (Germany) and M.Sc./B.Sc. degrees from German and Indonesian institutions. Research Interests : Focuses on causal AI, explainable AI, digital twins, sustainable industrial systems, and smart cities. His work integrates machine learning with domain-specific challenges in supply chains and energy management. Projects : Led over 10 funded projects including Delfine (accelerating energy transition), Talenta (digital asset management), and xAgri (agri-food supply chain analytics). Collaborates with global partners like Stadtwerke Trier and JetBrains. Teaching : Courses include Data Management in Industry 4.0, Production Planning, and Smart Cities. Recently on sabbatical in Spring 2023. Students : Supervises 20+ PhD/Master students researching topics like causal ML in software projects, EV adoption modeling, and blockchain logistics. Affiliations : Visiting Professor at University of Exeter, Adjunct Professor at Sebelas Maret/Airlangga Universities (Indonesia), and Academic Leader at Bandung Institute of Technology.

Felecia Davisمشاهده پروفایل

دانشیار

• Computational Textiles
• Responsive Architecture
• Digital Fabrication
• +۳ مورد دیگر

Felecia Davis is an Associate Professor of Architecture at Stuckeman School, Penn State University , where she leads the SOFTLAB research group. Her work bridges architecture, computational design, and textile technology, exploring how responsive materials can transform spatial experiences. She is also a co-founder of the Black Reconstruction Collective , a non-profit supporting Black diaspora design work. Ph.D. in Design and Computation from MIT Master of Architecture from Princeton University B.S. in Engineering from Tufts University Davis investigates the intersection of computational textiles , responsive architecture , and Black spatial practices . Her research includes thermoresponsive knitted structures, emotion-sensing textiles, and mycelium-based architectural composites. She examines how materials can embody cultural narratives and environmental adaptability. Her 15 most recent publications (2012-2024) focus on topics like knitted tension structures, biohybrid materials, dreadlock-inspired architecture, and electromagnetic urbanism. These works span disciplines including architecture , material science , and cultural studies , with subfields like soft robotics , haptic interfaces , and sustainable fabrication . 2023 Bogliasco Foundation Architecture Fellow 2022 Cooper Hewitt Smithsonian Design Museum Digital Design Awardee 2022 Architectural League Emerging Voices Winner 2021 MoMA Reconstructions Exhibition Contributor 2013-2012 Multiple MIT research awards Davis has advised students in projects like MycoKnit and Phototropic Fiber Composites , and led design studios at Princeton , Cooper Union , and Cornell . Her SOFTLAB pioneers textile-based architectural systems, while her forthcoming book Softbuilt: Networked Architectural Textiles (2025) synthesizes her material research.

• Social Media in Political Conflicts
• Human-Computer Interaction
• ICT for Social Activism
• +۷ مورد دیگر

Dr. Konstantin Aal is a researcher at the Department of Business Informatics and New Media within the Faculty of Information Systems and New Media at the University of Siegen, Germany. Having joined the university in 2012 after completing his studies in Business Informatics there, Dr. Aal has established himself as a prominent researcher at the intersection of technology, social activism, and human-computer interaction. Dr. Aal's educational background is rooted in Business Informatics at the University of Siegen, where he also completed his major dissertation on the social platform come_NET and its use by children as part of the come_IN project. His academic journey reflects a consistent focus on the social implications of technology. His research interests span several critical areas in contemporary socio-technical studies. Dr. Aal investigates how social media platforms are used in political conflicts and activism, particularly in the Middle East and North Africa region, with specific attention to the Palestinian-Israeli conflict and content moderation practices. He also explores human-technology interaction in contexts of aging and dementia care, human-wildlife conflict, and the digital transformation of rural communities. His work consistently emphasizes participatory design approaches, ethical considerations in technology development, and the importance of cultural sensitivity in global technology deployments. Dr. Aal's publication record shows a strong trajectory of impactful research, with particular emphasis on understanding how marginalized communities appropriate technology for their needs. His recent work on the "PlurAIverse" concept expands design paradigms for artificial intelligence to be more inclusive and culturally sensitive, while his ethnographic work in conflict zones reveals critical insights about digital activism under surveillance. Member of the research team for iStoppFalls (fall prevention for elderly) Contributor to multiple EU-funded projects on digital inclusion and socio-informatics Active participant in the Socio-Informatics research program at the University of Siegen Dr. Aal's work bridges theoretical insights with practical applications, often developing technologies in close collaboration with community stakeholders. His approach emphasizes "grounded design" - developing technological solutions that emerge from deep understanding of local practices and needs.

• Electronic Structure Theory
• Machine Learning in Materials Science
• Data Driven Materials Science
• +۶ مورد دیگر

Professor Patrick Rinke leads the Chair of AI-based Materials Science at the Technical University of Munich (TUM), within the TUM School of Natural Sciences and Department of Physics. His research group develops advanced electronic structure and machine learning methods to address critical challenges in materials science, surface science, physics, chemistry, and nanoscience. Professor Rinke's research spans multiple cutting-edge domains including electronic structure theory development, machine learning applications for materials science, data-driven materials discovery, biomaterials engineering, atmospheric science applications, clean energy materials, and hybrid materials systems. His work integrates advanced computational methods with practical applications across diverse scientific fields, particularly focusing on how artificial intelligence can transform traditional materials research. Analyzing his recent publications reveals strong trends in applying machine learning techniques to materials discovery, with particular emphasis on Bayesian optimization methods, active learning approaches for molecular data, and efficient dataset generation strategies. His research spans from fundamental electronic structure theory to practical applications in biomaterials, atmospheric science, and renewable energy technologies. Professor Rinke has received several prestigious awards including the August-Wilhelm Scheer visiting professorship (2017), a German Science Foundation research scholarship (2007), the Outstanding Postdoctoral Research Achievement Award from UC Santa Barbara (2009), recognition as an Outstanding Referee for Physical Review journals (2014), and the Institute of Physics Computational Physics Group Thesis Prize (2003). Professor Rinke actively contributes to the academic community through teaching and supervision. For the Winter term 2025/26, he is teaching courses including Academic Writing Skills, Introduction to Machine Learning for Materials Science, Current Topics in AI-Based Materials Science, and Machine Learning for Natural Sciences. His research group includes several team members working on diverse projects spanning the intersection of AI and materials science.