جست‌وجوی استاد و پژوهشگر

• Control Systems
• Hybrid Dynamical Systems
• Robotics
• +۶ مورد دیگر

Professor William Holderbaum is a faculty member at the School of Science, Engineering & Environment at the University of Salford, with additional affiliation to the Centre for Future Engineering. His academic career demonstrates sustained research productivity with 46 documented research outputs spanning from 2012 to 2025. Professor Holderbaum's research interests encompass several interconnected domains: Control Systems Theory and Applications Hybrid Dynamical Systems (particularly power converters) Robotics (Geometric Control, nonholonomic systems, Reinforcement Learning) Rehabilitation Engineering (Robust Control Design) Energy Management (Electric Vehicles, Smart Grids, Multiple Agent Systems) Autonomous Vehicles (Motion planning, AI) His recent publication activity (11 papers in 2025, 13 in 2024) reveals a strong emphasis on power systems protection challenges, particularly addressing microgrid protection issues arising from distributed generation integration. He has developed innovative approaches for overcurrent relay coordination, microgrid frequency stability, and protection schemes for inverter-dominated grids. His work also extends to robotics applications in textile manufacturing, wearable sensor technology for gesture recognition, and digital twin applications for power system protection. Professor Holderbaum maintains an active research program with significant recent output, demonstrating continued scholarly productivity and relevance in his fields of expertise. His interdisciplinary approach bridges theoretical control systems with practical engineering applications across multiple domains.

• Indoor Positioning
• Mobile Computing
• Context-Aware Computing
• +۴ مورد دیگر

Adriano Jorge Cardoso Moreira is an Associate Professor with Habilitation at the Department of Information Systems, School of Engineering, University of Minho, Portugal. He holds multiple leadership roles including Scientific Coordinator of Urban Computing at Centro de Computação Gráfica and Director of the MAP-tele PhD Program. His research is conducted primarily through the Urban Computing Lab , focusing on smart place technologies. Education: PhD in Electrical Engineering (1997) and Bachelor's in Electronic and Telecommunications Engineering (1989), both from University of Aveiro, Portugal. Research Focus: His work spans indoor positioning, mobile/context-aware systems, urban computing, and wireless network simulation. Key innovations include fingerprinting algorithms for localization, multi-sensor fusion techniques, and human mobility analysis. Research outputs consistently address real-world industrial challenges such as warehouse management, factory automation, and urban infrastructure. Research Output Trends: Recent publications (2021-2023) emphasize practical applications of Wi-Fi/LoRaWAN fingerprinting, machine learning for sensor calibration, and industrial vehicle tracking. Over 70% of recent works involve experimental validation in real environments, reflecting a strong applied research focus. Key thematic clusters include radio map optimization, multi-sensor datasets, and scalability of positioning systems. Awards & Recognition: First Prize, EvAAL-ETRI Indoor Localization Competition (Off-site track, 2015 & 2017) Second Prize, EvAAL-ETRI Indoor Localization Competition (2016) IEEE Senior Member status Patent in computational geometry Projects & Funding: He leads/participates in numerous EU/national projects including: ORIENTATE (2021-2023): Low-cost indoor positioning for factories Lab4U&Spaces (2021-2023): Urban space solutions AR WARE (2018-2022): AR for warehouse management SAMU (2015-2018): Smart autonomous mobile units Lab & Team: He established/leads the Urban Computing Lab developing technologies for smart environments. Previously headed the Computer Communications and Pervasive Media Group (until 2016). Current team includes PhD/Master students working on wireless positioning and mobility analysis.

• Digital Health
• Biomedical Signal Processing
• Wearable Sensors
• +۱۴ مورد دیگر

Farhad Abtahi is a Researcher at the Division of Ergonomics, KTH Royal Institute of Technology, specializing in wearable sensor systems and AI for ergonomic risk assessment and health monitoring. His work develops real-time tools using IMU sensors and smart textiles to evaluate posture and workload in occupational and clinical settings, with a joint PhD in Medical Technology and Medical Science from KTH alongside degrees in Electrical/Biomedical Engineering and Computer Engineering. His educational background includes: PhD in Medical Technology and Medical Science, KTH Royal Institute of Technology Degree in Electrical and Biomedical Engineering Degree in Computer Engineering Abtahi's research spans digital health, biomedical signal processing, and ergonomics, focusing on practical applications of wearable sensors for physiological monitoring and movement analysis. He integrates AI and smart textiles to create user-centered solutions that enhance workplace safety and clinical care, particularly in occupational health and rehabilitation contexts. Analysis of his 2019-2025 publications reveals consistent innovation in wearable sensor technologies for ergonomics, including IMU-based posture tracking, smart workwear with vibrotactile feedback, and process mining for chronic disease management. His interdisciplinary work bridges engineering, medicine, and data science to develop real-world health monitoring systems. Scientific awards: No specific awards listed in source materials Abtahi actively mentors students at KTH through courses like 'Medical Technologies in Digital Healthcare Transformation' (CM2012) and 'Signal Processing and Data Analytics in Biomedical Engineering' (CM2013). While engaged in entrepreneurship for research translation, no detailed grant information is provided. As part of KTH's Division of Ergonomics, he contributes to projects including the P-Ergonomics Platform for personalized workplace monitoring and collaborates with industry partners to develop commercial health technologies through startup ventures.

Pascal Bruniauxمشاهده پروفایل

استاد

• Textile Engineering
• 3D Garment Simulation
• Human Body Modeling
• +۵ مورد دیگر

Pascal Bruniaux is a Full Professor and Research Supervisor at the École Nationale Supérieure des Arts et Industries Textiles (ENSAIT) in Roubaix, France, where he leads research in textile engineering and human-centered design. His work focuses on the intersection of textile science, digital technologies, and human anatomy, with particular emphasis on creating innovative solutions for garment design and customization. Professor Bruniaux's research spans four major themes: (1) Modeling, simulation and multi-scale perception of textile materials; (2) Modeling of the Human/Clothing/Environment interface; (3) Analysis and classification of typical and atypical human morphologies; and (4) Development of personalized co-creation processes integrating 3D virtual prototyping, human perception, and knowledge. His work bridges the gap between traditional textile manufacturing and cutting-edge digital technologies, with applications ranging from everyday apparel to specialized medical garments and protective clothing. His recent publications demonstrate a strong trend toward integrating artificial intelligence and machine learning with 3D garment design and virtual prototyping. The research spans disciplines including textile engineering, computer science, human factors engineering, and sustainable fashion, with particular emphasis on improving garment fit, comfort, and customization through digital technologies. His work addresses critical challenges in the fashion industry, including reducing waste through virtual prototyping and improving accessibility for people with atypical body morphologies. Professor Bruniaux has received significant recognition for his contributions to the field: 2016 Gratitude Diploma from Gheorghe Asachi Technical University of Iasi for supporting and promoting their interests PEDR Award for PhD students and research supervision, received annually from the French Ministry of National Education since 2021 Throughout his career, Professor Bruniaux has supervised numerous PhD students and led multiple significant research projects funded by various programs including FUI, Erasmus Mundus, and European H2020. His research has been supported by collaborations with institutions across Europe and Asia, demonstrating the international impact of his work. He has also contributed to the development of innovative teaching methods in textile and apparel design, integrating digital tools into the curriculum. As a key member of the GEMTEX laboratory at ENSAIT, Professor Bruniaux leads the Human Centered Design Group, which focuses on developing technologies that place human needs at the center of textile and apparel innovation. The group's work has applications in diverse areas including adaptive clothing for people with physical disabilities, personalized sportswear, and advanced protective garments.

Sébastien Thomasseyمشاهده پروفایل

دانشیار

• Supply Chain Management
• Production Optimization
• Sales Forecasting
• +۴ مورد دیگر

Sébastien Thomassey is an Associate Professor at the National School of Arts and Textile Industries (ENSAIT), specializing in AI-driven solutions for textile engineering. His research focuses on optimizing fashion supply chains through machine learning applications in production management, sales forecasting, and sustainable manufacturing. He leads the Research Human Centered Design Group and coordinates multiple EU-funded projects including H2020's FBD-BModels and Erasmus+'s Digital Fashion initiative. His core research integrates: Supply chain optimization using AI forecasting models Textile manufacturing process automation Sustainable production lifecycle management Human-machine interaction in industrial settings Recent publications demonstrate strong emphasis on AI applications in textile anomaly detection (2024), digital twin technology (2023), and reinforcement learning for process optimization (2021). Awards include: Top 25 Most Cited Article in International Journal of Information Management (2021) He coordinates €5M+ in collaborative grants including: Fashion Trends 4.0 (Région Hauts-de-France) SMDTex Erasmus Mundus doctorate program H2020 FBD-BModels textile supply chain project Leads the Human Centered Design Group developing sensor-based textile tracking systems and industrial AI solutions.

Daciana Bottaمشاهده پروفایل

پژوهشگر

• Biosensors
• Electrochemical Sensors
• Point-of-Care Diagnostics
• +۳ مورد دیگر

Dr. Daciana Botta serves as a Researcher at the National Institute of Materials Physics within the Laboratory of Functional Nanostructures. Her work centers on developing advanced electrochemical biosensors and point-of-care diagnostic platforms utilizing flexible porous substrates including paper and electrospun polymeric fibers. Her research spans electrochemical biosensing , point-of-care diagnostics , and fluid dynamics in porous media with emphasis on genosensor development, nucleic acid detection, and wicking phenomena. She integrates materials science, electrochemistry, and fluid mechanics to create innovative diagnostic tools, particularly focusing on gold-coated electrospun fibers for genosensors and paper-based electrochemical sensors for rapid nucleic acid quantification. Recent publications demonstrate a clear trend toward miniaturized diagnostic devices achieving exceptional sensitivity (5.00 fM for genetic markers) and speed (3-minute assays). Her work optimizes electrode architectures on flexible substrates while addressing challenges in fluid transport, analyte retention, and non-specific adsorption in porous media. Dr. Botta actively contributes to the Laboratory of Functional Nanostructures, where her research advances portable biosensing technologies for clinical diagnostics through interdisciplinary collaboration on electrode design, fluid dynamics modeling, and sensor validation.

• Digital Technology in Creative Processes
• Artificial Intelligence in Art Education
• Programming Pedagogy
• +۳ مورد دیگر

Peter Haakonsen serves as Associate Professor at the Department of Art, Design and Drama within Oslo Metropolitan University's Faculty of Technology, Art and Design. He teaches digital tools and media in the Teacher Education program for Practical and Aesthetic Subjects (Years 1-13) while leading the study program for its first three years from his office at Pilestredet 52, Oslo. His research centers on digital technology integration in creative educational processes, with current emphases on programming pedagogy, makerspace environments, and artificial intelligence applications. Haakonsen investigates how computational tools transform artistic expression and classroom dynamics, particularly through pseudocode modeling for arts education and critical analysis of AI's role in creative development. His interdisciplinary approach bridges technical implementation with aesthetic theory. Analysis of his 2020-2025 publications reveals dominant trends in AI-driven art education (especially text-to-image generation), e-textiles integration, and programming-as-material frameworks. These works consistently examine technology's dual potential as both creative catalyst and developmental challenge, with strong focus on K-12 implementation and teacher training needs. No scientific awards are documented in the provided materials. No graduate student supervision or research grant details appear in the available records. Haakonsen actively participates in the "Design Literacy Education and Society" research group, which examines design's societal impact through educational interventions. This collaborative unit develops practical frameworks for integrating design thinking into community-focused projects while analyzing policy implications for aesthetic education.