جستجوی استاد راهنمای دانشگاهی

Carlo Menonمشاهده پروفایل

استاد

• Wearable Technology
• Electronic Textiles (E-textiles)
• Bio-signal Processing
• +۴ مورد دیگر

Prof. Carlo Menon is a Full Professor and Head of the Biomedical and Mobile Health Technology Lab at ETH Zürich. His expertise spans wearable technology, e-textiles, and bio-signal processing for healthcare and sports applications. He holds a Laurea in Mechanical Engineering and a PhD in Space Sciences from the University of Padua, with prior roles at Carnegie Mellon University and Simon Fraser University. His lab focuses on next-generation wearables for personalized medicine and neuromuscular rehabilitation. Prof. Menon has secured over 80 grants and published 400+ works, co-founding two startups to commercialize his research. Education: Laurea in Mechanical Engineering, University of Padua PhD in Space Sciences and Technologies, University of Padua Research Interests: His lab develops innovative materials for e-textiles, computational methods for bio-signal analysis, and wearables for sports and medical monitoring. Key projects include motion tracking via triboelectric textiles, privacy-preserving health sensors, and stroke rehabilitation technologies. His work bridges engineering and clinical needs, emphasizing translational research. Awards & Recognition: Tier I Canada Research Chair CIHR and MSFHR Career Awards Advising & Grants: As lab head, he oversees 40+ researchers in the Menrva Group. His funding portfolio includes competitive grants totaling over CHF 8 million, supporting projects in wearable energy harvesting and clinical validation. Labs & Collaborations: Leads the ETH Zurich Biomedical and Mobile Health Tech Lab, collaborating with ESA and industry partners. His Menrva Research Group focuses on multi-disciplinary wearable tech solutions.

• Knowledge Graphs
• Natural Language Processing
• Artificial Intelligence
• +۳ مورد دیگر

Antonello Meloni is a Researcher affiliated with the Faculty of Life Sciences and Technology at Wrocław University of Environmental and Life Sciences. His work focuses on advancing knowledge graphs, natural language processing (NLP), and their integration into conversational agents for scholarly and industrial applications. He collaborates extensively with experts in artificial intelligence, semantic web technologies, and data science. Key research interests include: Developing tools for text-to-KG conversion (e.g., AMR2FRED, Text2AMR2FRED) Enhancing conversational agents with knowledge graphs for applications like job market analysis and scientific QA Leveraging large language models (LLMs) for query generation and scientific analysis Designing human-centric AI architectures for Industry 5.0 Recent publications emphasize LLMs' role in scientific question answering, knowledge graph construction, and interdisciplinary applications in music heritage and labor markets. His work bridges theoretical advancements with practical tools for academia and industry.

• Smart Textiles
• Wearable Technology
• Material Science
• +۷ مورد دیگر

George Stylios is a Professor in the School of Textiles & Design at Heriot-Watt University, serving as Director of TechniTex and the Faraday Partnership in Technical Textiles. His career spans academic and industry collaborations, including a fellowship at Japan's Science and Technology Agency in 1991. He holds a PhD in Industrial Engineering Systems (1986) and advanced postgraduate studies in the UK, funded by M&S and suppliers. Education highlights include a PhD from the University of Bradford, postgraduate work at Leeds, and a 1991 Japanese fellowship. His research integrates textile mechanics, nanotechnology, and sustainability, focusing on smart materials for wearable devices, energy harvesting systems, and medical applications. Notable projects include 3D-printed protective fabrics, eco-friendly membranes for wastewater treatment, and AI-driven TENGs for self-powered electronics. Research interests emphasize the textile-clothing interface, smart sensors, and biodegradable materials. Recent publications (2024–2025) highlight advancements in triboelectric nanogenerators, plasma-aided printing, and medical wearable systems. His work aligns with sustainable development goals, particularly in eco-friendly textile innovation and energy-efficient technologies. Scientific Awards: Fellow of the Science and Technology Agency in Japan (1991) Advising and grants: While specific student names are not listed, his research is supported by industry partnerships and collaborative grants. He has led projects funded by M&S and suppliers, with grants likely tied to technical textiles and sustainable materials. Labs and teams: Director of TechniTex and the Faraday Partnership, which focus on technical textiles for industrial and medical applications. Collaborations include global research networks in nanotechnology and environmental engineering.

• Memristor Technology
• Nanomaterials
• Neuromorphic Computing
• +۳ مورد دیگر

Sun Sun is an Adjunct Professor at the University of Waterloo, specializing in advanced memristor technologies and their applications in neuromorphic computing, biomedical engineering, and artificial intelligence. Their research focuses on developing novel memristor-based devices for sensor integration, energy harvesting, and bionic systems. Key research areas include organic nanomaterials, hybrid heterostructures (e.g., TiO2@MoO3, HfOx/FeOx), and biomaterials such as silk fibroin for implantable devices. Sun Sun explores memristor behaviors like negative differential resistance, resistive switching, and self-rectifying effects to enhance device functionality and scalability. Applications span healthcare (e.g., rapid tumor cell detection, follicular fluid monitoring), neuromorphic systems (e.g., artificial synapses, emotional perception circuits), and energy systems (soil-based energy harvesting). Their work often emphasizes multi-factor regulation of memristive properties and interdisciplinary integration with photonics, robotics, and sustainable materials. Collaborative projects include designing flexible and transparent memristor-based systems for wearable electronics and neuromorphic chips. Sun Sun’s contributions bridge fundamental device physics with real-world biomedical and AI applications, leveraging both organic and inorganic materials for next-generation smart technologies.

Papageorgas Panagiotisمشاهده پروفایل

استاد

• Embedded Systems
• Wireless Sensor Networks
• Internet of Things (IoT)
• +۵ مورد دیگر

Papageorgas Panagiotis is a tenured Professor in the Department of Electrical & Electronics Engineering at the University of West Attica, where he directs the Laboratory of Smart Technologies, Renewable Energy Sources and Quality. He holds a B.Sc. in Physics (1984) and a Ph.D. in Physics (1995) from the National and Kapodistrian University of Athens (NKUA). His career includes research roles at NKUA's Departments of Electronics and Applied Physics (1985–1994) and Informatics and Telecommunications (1994–2002), followed by a professorship at the Piraeus University of Applied Sciences (PUAS) until 2018. Research focuses on embedded systems, wireless sensor networks (WSNs), IoT, smart grids, and cyber-physical systems (CPS). He has authored/co-authored over 100 publications addressing topics like energy efficiency, smart cities, and environmental monitoring. His work spans applications in renewable energy systems, sensor network architectures, and low-power wide-area networks (LPWAN). Teaching responsibilities include undergraduate courses in Electronics I, Modern Microcomputer Systems, and Mechatronics, as well as postgraduate modules on Embedded Systems, Cyber-Physical Systems, and Wireless Sensor Networks. He actively participates in international conferences like the Technologies and Materials for Renewable Energy, Environment and Sustainability (TMREES) series. Key projects include developing low-cost PV I-V curve tracers, smart LED lighting platforms (LEDWIRE), and emergency communication systems using SD-WAN and LPWAN technologies. His lab emphasizes practical implementations of IoT and CPS for sustainability and resilience, with recent contributions to smart agriculture, emergency ventilators via 3D printing, and blockchain-based energy metering.

Fujian Yanمشاهده پروفایل

استاد آموزشی

• Robotics
• Human-Robot Interaction
• Computer Vision
• +۳ مورد دیگر

Fujian Yan is an Assistant Teaching Professor at Wichita State University. He specializes in robotics, human-robot interaction, and spatial reasoning. His research focuses on developing frameworks for intuitive collaboration between humans and robots, including volumetric reconstruction, motion primitives, and real-time communication systems. He is affiliated with Wichita State University, where his office is located in Jabara Hall. Yan’s research interests include advancing robotic capabilities in understanding spatial constraints, object semantics, and human-robot teaming. His work integrates neural logic learning and dictionary-based methods to enhance robotic scene comprehension and tactile interaction. Recent contributions address challenges in touch detection, common reality interfaces, and mutual understanding between humans and machines. His publications span topics like motion diagnostics, augmented reality integration, and collaborative frameworks. Despite no explicit awards mentioned, his work reflects sustained innovation in human-robot systems. Advising and grants details are currently unavailable. He is part of Wichita State’s academic community, contributing to teaching and research in robotics and related fields.

• Sensors and Actuators
• Energy Harvesting
• Microelectromechanical Systems (MEMS)
• +۳ مورد دیگر

Dimo Rumenov Kolev is a Researcher at the Technical University Gabrovo , affiliated with the School of Higher Education and the Electronics Department . He holds a Doctoral Degree in Technical Sciences and specializes in advanced sensor systems, energy harvesting, and microelectromechanical systems (MEMS). His research focuses on piezoelectric and thermoelectric devices, tactile sensor arrays, and DC servodrives for 3D printers. Research Interests: Kolev’s work spans sensor and actuator design , piezoelectric energy harvesting , and MEMS integration . He develops low-power energy generators, multi-sensor systems, and web-based sensor networks. His projects address challenges in automation, robotics, and environmental monitoring, with applications in both academic and industrial settings. Projects & Collaborations: He has led or contributed to 7 research projects (2009–2024), including: "Sensor and Actuator Devices in Mechatronic Systems" (2017–2019) "Intelligent Microsensor Systems" (2011–2014) "Piezoelectric and Galvanomagnetic Sensor Systems" (2009–2011) Publications: His 33 publications span international conferences like UNITECH, ET, and MIEL. Recent work addresses compression harvesters, resonance sensor arrays, and energy conversion efficiency. His studies bridge theoretical models with experimental validation, emphasizing practical applications. Teaching & Methodology: He develops course materials for bachelor’s and master’s programs in "Sensor Technology," "Microelectronics," and "Automotive Electronics," ensuring alignment with modern technical advancements.

Igor Mayerمشاهده پروفایل

استاد

• Serious Games
• Policy Analysis
• Spatial Planning
• +۹ مورد دیگر

Igor Mayer is a Professor of Serious Games, Innovation & Society at Breda University of Applied Sciences (Netherlands) and an endowed 0.2fte Professor of 'Playful Organizations and Learning Systems' at Tilburg University's Faculty of Social and Behavioral Sciences. His research focuses on gaming-simulation, serious games, and digital technologies for policy analysis, organizational learning, and spatial planning. He leads the Academy for AI, Games & Media (AGM) at Breda and has held visiting roles at Beijing Institute of Technology (China) and Delft University of Technology (Netherlands). Key research interests include maritime spatial planning (via the MSP Challenge simulation platform), urban digital twins, and the societal impact of immersive technologies. He has coordinated European projects (e.g., FP7, H2020) and advised organizations like Shell, the Netherlands Police Academy, and the Port of Rotterdam. His work bridges policy analysis, complex systems, and stakeholder engagement in domains such as water management, crisis response, and infrastructure planning. Award-winning projects include the MSP Challenge, a globally applied boundary object for transboundary governance. His 150+ publications span journals like Marine Policy and Simulation & Gaming , with a current H-index of 31. He co-founded networks like SAGANET and GaLA, and serves as associate editor for Simulation & Gaming and Water . Recent activities include leading the EU-funded NO-REGRETS project on North Sea renewable energy and co-developing the VESPER initiative on virtual humans. His future research emphasizes playful organizations, digital innovation districts, and ethical AI applications in public policy.

• Computer Vision
• Image Analysis
• Machine Learning
• +۵ مورد دیگر

Martin Kampel is a Senior Scientist at the Computer Vision department of Technische Universität Wien (E193-01), focusing on interdisciplinary research at the intersection of Visual Computing , Human-Centered Technology , and AI Ethics . His work spans 3D Vision , Image Sequence Analysis , Computer Vision for Cultural Heritage , Ambient Assisted Living , and Visual Surveillance . Current roles: Senior Scientist, Principal Investigator in EU and national projects (e.g., Blindsight, visuAAL, KIIS) Contact: martin.kampel@tuwien.ac.at Research Interests Kampel’s research explores: 3D Acquisition & Reconstruction : Camera calibration, hand-eye tracking, and range data processing. Human Behavior Analysis : Motion tracking, multi-camera networks, and action recognition from 4D point clouds. Assistive Technologies : Depth sensor applications for dementia care, privacy-aware AAL systems, and smart toilet configurations. AI Ethics : Fairness, bias, and transparency in criminal justice systems and algorithmic governance of care. Recent Projects & Publications His work includes: Blindsight : WiFi-based person localization and multimodal data synthesis for behavioral classification. visuAAL : Developing trustworthy AI for dementia care and privacy-preserving depth sensor systems. KIIS : Domain-adaptive data synthesis for supermarket product recognition. Notable publications cover 3D human pose estimation , WiFi CSI analysis , trimodal datasets , and ethical AI frameworks .

Rajiv Ranganathanمشاهده پروفایل

دانشیار

• Motor Learning
• Biomechanics
• Robotics
• +۳ مورد دیگر

Rajiv Ranganathan is an Associate Professor in the Department of Kinesiology at Michigan State University. He holds a Ph.D. from The Pennsylvania State University. His research focuses on motor learning and biomechanics, particularly investigating how humans produce skilled movements and adapt to changes caused by aging, development, or movement disorders. Ranganathan employs experimental techniques like motion capture, robotics, and virtual reality alongside biomechanical modeling and simulations to uncover mechanisms of motor control. His work aims to develop novel training methods for motor skill learning and rehabilitation of movement disorders. Education: Ph.D., The Pennsylvania State University. Research Interests: Motor learning dynamics, human movement control, neurorehabilitation robotics, and the application of machine learning in motor skill assessment. He explores how variability and redundancy in motor tasks influence learning and adaptation. His studies often involve developing assistive technologies such as body-machine interfaces and semi-passive robotic platforms to enhance motor function in individuals with impairments. Recent work highlights themes like motor memory consolidation after stroke, age-related deficits in motor learning, and the design of open-source platforms for motor skill experiments. His research bridges biomechanics, robotics, and neuroscience to address clinical challenges in rehabilitation. Key contributions include advancements in understanding how error compensation occurs in redundant motor systems and the role of implicit motor adaptation across age groups. He emphasizes interdisciplinary approaches, advocating for stronger connections between theoretical models and empirical studies in motor learning research.

Mark Andrew Postمشاهده پروفایل

مدرس ارشد

• Robotics
• Autonomous Systems
• Space Robotics
• +۷ مورد دیگر

Dr. Mark A. Post is a Senior Lecturer in Robotics and Autonomous Systems at the University of York's School of Physics, Engineering and Technology. He has over 61 peer-reviewed publications and £1M+ in research funding as PI, including Horizon 2020 and Horizon Europe grants. His work spans space robotics , autonomous systems , and bio-inspired designs . B.A.Sc. Electrical Engineering (University of Toronto, 2004) M.Sc. Space Science (York University, 2008) Ph.D. Space Engineering (York University, 2014) Research focuses on autonomous planetary rovers , nanosatellites , and bio-inspired robots with robust probabilistic reasoning, modular sensor fusion, and adaptive control systems. Key projects include: STARFAB : Space warehouse ecosystem (Horizon Europe, 2024–2026) MOSAR : Modular satellite reconfiguration (Horizon 2020, €3.999M) RoboFish : Underwater inspection AUV (Supergen ORE Hub funding) Awarded three EU grants and multiple STFC/Innovate UK projects, he supervises PhD students in modular robotics , probabilistic programming , and autonomous systems .

Shaoping Baiمشاهده پروفایل

استاد

• Rehabilitation Robotics
• Exoskeleton Systems
• Parallel Manipulators
• +۵ مورد دیگر

Professor Shaoping Bai serves in the Department of Materials and Production at Aalborg University's Faculty of Engineering and Science, where he leads research in rehabilitation robotics and mechanical systems. His work focuses on developing innovative exoskeleton technologies to assist individuals with disabilities in performing daily activities. His primary research domains include: Rehabilitation Robotics and Assistive Technologies Exoskeleton Design and Control Systems Parallel Manipulators and Robotic Mechanisms Biomechanics and Human-Machine Interaction Wearable Robotics for Medical Applications Recent publications demonstrate a strong emphasis on clinical validation of exoskeleton systems, with growing interdisciplinary collaboration between engineering, medical, and human factors disciplines. His work shows particular focus on upper-limb assistance systems and terrain-adaptive walking technologies. Notable recognitions include: Best paper award at IFToMM 2018 Wearable Robotics Association's 2018 Innovation Challenge Grand Prize Winner Professor Bai actively participates in multiple research initiatives including the Center for Rehabilitation Robotics and the Intelligent Hybrid Light Weight Tendon Based Exoskeleton project, securing substantial research funding for assistive technology development. His work frequently involves cross-disciplinary teams comprising engineers, medical professionals, and computer scientists. As a core member of Aalborg University's Center for Rehabilitation Robotics, he contributes to advancing technologies that improve quality of life for individuals with disabilities through sophisticated robotic solutions.

• Robotics
• Artificial Intelligence
• Autonomous Systems
• +۵ مورد دیگر

Prof. Gerald Steinbauer-Wagner is an Associate Professor at TU Graz's Institute of Software Engineering and Artificial Intelligence. He specializes in autonomous intelligent systems, focusing on decision-making architectures for robots in uncertain environments. His research integrates software engineering, AI, and robotics to develop reliable systems for applications in disaster response, planetary exploration, and industrial automation. Research Interests: Steinbauer-Wagner's work addresses challenges such as robot navigation in unstructured terrains, human-robot collaboration, and trustworthiness in autonomous systems. Key areas include explainable AI, fault diagnosis, and multi-robot coordination. His team explores solutions for off-road robotics, collective perception, and certification of autonomous systems. Recent Projects: Current initiatives include developing autonomous systems for subterranean rescue missions (ROBO-MOLE), optimizing robot localization using machine learning, and creating educational frameworks for AI literacy in schools. His group also contributes to the RoboCup Logistics League and planetary exploration cascades through analog missions like AMADEE-20. Awards & Recognition: No specific awards listed, but his work has been recognized through extensive publications in top venues like IEEE/RSJ IROS, ICRA, and RoboCup symposiums. Lab & Teams: Leads the Autonomous Intelligent Systems (AIS) research group at TU Graz, collaborating with industry partners like the Smart Factory. His team develops integrated robot systems for production, logistics, and disaster response scenarios.

Chen Zhuمشاهده پروفایل

دانشگاهی

• Fiber Optic Sensors
• Microwave Photonics
• Microwave Sensors
• +۳ مورد دیگر

Dr. Chen Zhu is an Associate Research Professor in the Electrical and Computer Engineering department at Missouri University of Science and Technology. He holds a B.E. in Optoelectronics Information Engineering from Huazhong University of Science and Technology (2015) and a Ph.D. in Electrical Engineering from Missouri S&T (2021). His research focuses on fiber optic and microwave sensors for harsh environments, particularly in sensing applications such as displacement, humidity, and strain measurement. Dr. Zhu has been recognized with prestigious awards including the IEEE Instrumentation and Measurement Society Graduate Fellowship (2018–2019) and the IEEE St. Louis Section Outstanding Graduate Student Award (2020). His work integrates microwave photonics, machine learning, and advanced interferometric techniques to develop high-sensitivity sensors. Key research areas include Vernier-effect-based optical fiber sensors, microwave resonators, and distributed sensing systems. Recent advancements include respiratory rate monitoring via all-fiber strain sensors and quasi-distributed acoustic sensing using optical path difference demodulation. Publications span topics like fiber Bragg gratings, Fabry-Perot interferometers, and sensor demodulation algorithms. His research emphasizes practical applications in biomedical monitoring, structural health, and industrial environments. Collaborations involve interdisciplinary approaches combining material science, signal processing, and sensor miniaturization.

Gerald Acknerمشاهده پروفایل

استاد

• Human Factors in Automotive Systems
• Driver Assistance Technology
• Human-Machine Interaction (HMI)
• +۳ مورد دیگر

Prof. Gerald Ackner is a Professor at the University of Applied Sciences Furtwangen, based at the Tuttlingen campus. His research focuses on human factors in automated driving systems, driver behavior analysis, and human-machine interaction (HMI) design. He specializes in optimizing driver assistance systems, collision warning strategies, and visual attention management in automotive interfaces. His work bridges cognitive science and engineering, with a strong emphasis on improving road safety through better understanding of driver-system interactions. Key research interests include: Design and evaluation of proactive voice assistance systems in automated vehicles Reduction of unnecessary collision alarms through adaptive assistance strategies Analysis of non-driving task engagement in highly automated environments Development of LED-based visual attention guidance systems His publications from 2016-2025 consistently address challenges in automated driving safety, with a thematic focus on: Driver-vehicle interface design Collision avoidance system efficacy Driver behavior under automation Human perception vs. system perception discrepancies He participated in the interdisciplinary UR:BAN-MV research project, contributing to urban mobility HMI design and driver behavior prediction. His work reflects a commitment to both theoretical and applied research in automotive human factors.