جست‌وجوی استاد و پژوهشگر

• E-textiles
• Educational Technology
• Sensor Technology
• +۵ مورد دیگر

Erja Sipilä is a University Lecturer and Vice Dean for Education at the Faculty of Information Technology and Communication Sciences, Tampere University. She specializes in interdisciplinary research at the intersection of e-textiles, educational technology, and sensor systems. Her work includes developing wearable healthcare devices for swallowing movement analysis and advancing flipped learning methodologies in engineering education. She actively contributes to smart clothing innovation and RFID technology research, particularly in additive manufacturing applications. Her research focuses on practical solutions for healthcare monitoring, user-centered textile sensor design, and improving STEM pedagogy through blended learning systems. Key projects include the Smart Campus Innovation Lab and initiatives to transition traditional teaching to online/digital formats. She has led curriculum development efforts in electronics engineering, emphasizing hands-on project work and anonymous feedback systems to enhance student learning experiences. Erja has organized workshops on educational technology and participated in SEFI conferences, highlighting her commitment to academic networking and educational policy. While no specific awards are listed, her contributions to pedagogical innovation and wearable technology development demonstrate impactful academic engagement.

• Smart Textiles
• RFID Technology
• Wearable Devices
• +۵ مورد دیگر

Johanna Virkki is an Associate Professor at the Department of Computing Sciences, Faculty of Information Technology and Communication Sciences, Tampere University. Her research focuses on smart textiles, wearable technologies, RFID systems, and their applications in healthcare, assistive communication, and human-computer interaction. She has pioneered projects integrating RFID into clothing and environments for control interfaces, physiological monitoring, and gamified therapies. Key research areas include: Development of e-textiles for AAC (Augmentative and Alternative Communication) RFID-based wearable and furniture interfaces for accessibility Sensor systems for healthcare monitoring and rehabilitation Smart spaces and IoT-enabled environments Her work emphasizes interdisciplinary collaboration, with notable contributions in: Passive RFID sensor platforms for moisture, strain, and physiological signals Co-design approaches involving speech therapists, engineers, and end-users Prototyping wearable devices for children with disabilities and elderly care Recent publications highlight advancements in: Smart furniture and textile-based AAC solutions AI-driven smart spaces and edge-cloud computing Bio-inspired sensors using animal hair and conductive yarns Johanna's research bridges technology and human needs, addressing challenges in healthcare, education, and accessibility through innovative textile and RFID systems.

Simon Birnbachمشاهده پروفایل

پژوهشگر ارشد

• Cyber-Physical Systems Security
• Aviation Security
• Aerospace Security
• +۴ مورد دیگر

Simon Birnbach is a Junior Research Fellow and Senior Postdoctoral Researcher in the Department of Computer Science at the University of Oxford, affiliated with the Systems Security Lab led by Professor Ivan Martinovic. His research focuses on securing cyber-physical systems, particularly in smart homes, aviation, and aerospace domains. He holds a DPhil (Oxford), MSc (Kaiserslautern, Germany), and BSc (Kaiserslautern, Germany). His work addresses critical security challenges such as satellite fingerprinting resilience, drone privacy invasion detection, and verifying smart home events via collaborative sensors. Notable contributions include a transferable fingerprinting scheme for aviation legacy systems and co-supervising six students across satellite, IoT, behavioral biometrics, and malware detection topics. Recent publications emphasize adversarial attacks on satellite systems, TTP-based malware detection, and securing space communication protocols. His research bridges theoretical advancements with real-world applications in aerospace, automotive, and smart environment security.

Jens Myrup Pedersenمشاهده پروفایل

استاد

• Cybersecurity
• Network Security
• Machine Learning
• +۵ مورد دیگر

Jens Myrup Pedersen is a Professor at Aalborg University's Department of Electronic Systems within The Technical Faculty of IT and Design. He is affiliated with the Cyber Security Group and focuses on improving digital wellbeing through cybersecurity research. His primary research interests include botnets, network security, machine learning applications in cybersecurity, and cybersecurity education. He leads or participates in projects such as Cyber Safe Robotics , AI:SECURITY , and GAMESS , addressing topics like AI-driven security, gamification in education, and secure software development. Pedersen has contributed to over 235 publications since 2003, emphasizing cybersecurity threats, network analysis, and educational methodologies. His work extends to cybersecurity training platforms like Haaukins and The Privacy Universe , designed to enhance user awareness through gamification. Pedersen collaborates internationally, engaging in initiatives like the European Cyber Security Challenge and cybersecurity hackathons. He holds roles in professional organizations such as the Danish Cybersecurity Board and the IDA association. Recent research highlights include NLP security ethics, OT cyber resilience, and cryptocurrency forecasting tools. His projects often bridge academia and industry, focusing on real-world impact through student-driven projects and cross-disciplinary collaborations.

Raul Sanchez-Reilloمشاهده پروفایل

استاد

• Biometrics
• Information Security
• Smartcard Technology
• +۶ مورد دیگر

Dr. Raul Sanchez-Reillo is a Full Professor at the Electronics Technology Department, University Carlos III of Madrid (UC3M). He holds a PhD in Telecommunication Engineering from the Polytechnic University of Madrid (2000). As Director of GUTI (University Group for Identification Technology) and founder of IDTestingLab, he specializes in biometrics, smartcards, and information security. His work since 1994 includes managing over 8 European projects (e.g., BioSec, MobilePass) and 12 national/regional projects. He chairs international standardization bodies like ISO/IEC JTC1 SC37 (Biometrics) and leads Spanish delegations in related standards committees. His research focuses on biometric systems (fingerprint, vein, ECG, gait), presentation attack detection, and mobile security. He has authored 36+ international journal papers, 18 book chapters, and contributed to 12 international standards. Awards include the IEEE Harry Rowe Mimno Award (2002) and the iBanesto.com Best PhD Thesis Award (Electronic Commerce). Teaching includes courses on microprocessors, digital systems, and biometrics. He has supervised over 130 final degree projects and directed 5 completed PhDs with 8 ongoing. His work integrates hardware-software co-design for biometric systems and emphasizes usability in mobile environments.

• Embedded Systems
• Mobile Computing
• Wireless Sensing
• +۲ مورد دیگر

Shahriar Nirjon is an Assistant Professor in the Department of Computer Science at UNC Chapel Hill, where he leads research on embedded intelligence systems. His work focuses on developing ultra-low-power devices capable of adaptive machine learning for health monitoring and mobile applications. Dr. Nirjon's Intermittent Learning framework enables energy-harvesting devices to continuously adapt to changing environmental conditions and input patterns. His research encompasses: Energy-harvesting sensor systems Adaptive machine learning for embedded devices Mobile health monitoring technologies Wireless sensing platforms Robust embedded intelligence He has received multiple best paper awards at premier conferences including MOBISYS, RTAS, DCOSS, and AIChallengeIoT. Dr. Nirjon is a recipient of the NSF CAREER Award for his work on intermittent learning systems.

Jianliang Wuمشاهده پروفایل

استادیار

• Systems Security and Privacy
• Formal Analysis
• Machine Learning Security and Privacy
• +۴ مورد دیگر

Jianliang Wu is an Assistant Professor in the School of Computing Science at Simon Fraser University. His research focuses on systems security and privacy, formal analysis, and machine learning security. He holds a PhD from Purdue University (2022), and MSc and BSc from Shandong University (2015 and 2012). His research interests include Bluetooth security, IoT privacy, and formal methods for protocol analysis. He teaches courses such as Network Security, Software Security, and Networks, including CMPT 403 (System Security and Privacy) and CMPT 479 (Special Topics in Computing Systems). His work spans both theoretical and applied cybersecurity, with a strong emphasis on real-world system vulnerabilities and mitigation strategies. Recent research highlights include systematic reviews of Bluetooth protection strategies, analyses of IoT data exposure via companion apps, and formal model-driven discovery of protocol design flaws. His contributions address critical challenges in wireless communication security and IoT ecosystem vulnerabilities. No scientific awards are explicitly mentioned in the provided text. Advising and grants details are not available here. He is affiliated with the School of Computing Science, which hosts labs like the Tangent Lab, though direct lab affiliations for Wu are not specified.

Cindy K Harnettمشاهده پروفایل

استاد

• Materials Science
• Optical Sensors
• MEMS (Microelectromechanical Systems)
• +۴ مورد دیگر

Cindy K. Harnett is a Professor in the Department of Electrical & Computer Engineering at the University of Louisville's J.B. Speed School of Engineering. Her research focuses on materials science, soft robotics, and MEMS technologies with applications in wearable sensors and adaptive systems. She holds a B.S. in Physics from Harvey Mudd College (1993) and a Ph.D. in Applied & Engineering Physics from Cornell University (2000). Education: B.S. in Physics, Harvey Mudd College, 1993 Ph.D. in Applied & Engineering Physics, Cornell University, 2000 Research Interests: Dr. Harnett explores advanced materials and their integration into functional systems. Key areas include: Design of stretchable optical fibers for strain-sensitive textiles MEMS-based sensors and actuators Biocompatible materials for robotic interfaces Soft robotics and adaptive mechanical systems Her recent work emphasizes developing low-cost, durable sensors and energy-efficient systems. Notably, her team pioneered strain-engineered microstructures and thermally responsive materials. Awards and Recognition: None explicitly listed in provided texts. Advising & Grants: No student names or grant details provided in source materials. Labs/Teams: Her research is concentrated within the J.B. Speed School of Engineering’s robotics and materials innovation groups, focusing on interdisciplinary projects combining mechanical, electrical, and material sciences.

• Robotics
• Artificial Intelligence
• Medical Imaging
• +۵ مورد دیگر

Dr Shahnewaz Ali is a Postdoctoral Fellow in the Faculty of Engineering's School of Electrical Engineering & Robotics at Queensland University of Technology (QUT). He is affiliated with the Centre for Robotics and holds a PhD from QUT and an MSc in Computer Engineering from Politecnico di Milano. His research focuses on the intersection of robotics, artificial intelligence, and biomedical applications, emphasizing wearable technology, surgical robotics, and sensor systems. Key research interests include AI-driven medical imaging, robotic surgery systems, and biomarker detection using wearable devices. His work spans sensor technologies for robotics, real-time surgical scene analysis, and predictive performance monitoring. Recent projects include developing a wearable monitoring system for stress biomarkers and advancing arthroscopic surgical techniques through 3D mapping and deep learning. Education: PhD, Queensland University of Technology MSc (Computer Engineering), Politecnico di Milano Dr Ali's publications cover topics like surgical scene restoration, microRNA-based performance prediction, and sensor development for medical robotics. His research bridges engineering and healthcare, aiming to enhance diagnostic accuracy and robotic surgical precision. Collaborations include multidisciplinary teams at QUT and international institutions.

• Structural Engineering
• Civil Engineering
• Bridge Engineering
• +۱۲ مورد دیگر

Gabriele Bertagnoli is an Associate Professor in the Department of Structural, Building and Geotechnical Engineering (DISEG) at Politecnico di Torino, Italy. His research and teaching focus on civil and structural engineering, particularly in bridge design, composite and concrete structures, finite element analysis, and structural health monitoring. His research interests include: Structural Engineering Bridge and Composite Structures Finite Element and Nonlinear Analysis Structural Health Monitoring (SHM) Optimization of Reinforced and Prestressed Concrete Seismic Retrofitting and Safety Assessment Bertagnoli's recent publications reveal a strong trend in developing and applying advanced computational models for the safety assessment of existing bridges and buildings, especially under damage and seismic loading. His work integrates innovative sensor technologies for SHM, genetic algorithms for structural optimization, and nonlinear finite element simulations to evaluate structural performance and reliability. His scientific awards include: Best Ph.D. Thesis of 2006 in the field of concrete structures – fib (Fédération Internationale du béton) CTE Congress 2018 Memorial Award – CTE (Italy, 2020) He is actively involved in research supervision and grant leadership: Supervises PhD students: Mario Ferrara and Sofia Villar Principal Investigator on multiple national and international projects (e.g., PRIN, PNRR, DECORI, Ri-REVERSE) Leads commercial and applied research contracts in structural consultancy and monitoring His laboratory and research group are engaged in developing intelligent monitoring systems for urban infrastructure (e.g., INSIST, Smart Concrete) and innovative retrofitting solutions using steel exoskeletons, composite connections, and sensor-embedded materials.

Ashok Agrawalaمشاهده پروفایل

استاد

• Computer Systems
• Distributed Algorithms
• Real-Time Systems
• +۱۰ مورد دیگر

Ashok Agrawala is a Professor in the Department of Computer Science at the University of Maryland, with joint affiliations in the University of Maryland Institute for Advanced Computer Studies (UMIACS) and the Department of Electrical Engineering. He directs the Maryland Information and Network Dynamics (MIND) Lab, a leading research group focused on real-time systems, network performance, and wireless localization technologies. Education: B.E. and M.E. in Electrical Engineering, Indian Institute of Science, Bangalore M.A. and Ph.D. in Applied Mathematics, Harvard University His research interests span computer systems, distributed algorithms, real-time operating systems, network performance modeling, traffic shaping, and indoor localization . He is renowned for pioneering the Ricart-Agrawala distributed mutual exclusion algorithm, developing the Maruti real-time operating system, and creating the Horus and Locus indoor positioning systems. His work has led to significant advances in temporal guarantees, jitter-free data delivery, and calibration-free localization. His recent publications show sustained innovation in wireless localization, context-aware computing, breath analytics, and energy-efficient IoT systems , reflecting an evolving research trajectory toward smart health and urban computing. He has authored over 200 papers and seven books, with consistent publication activity into 2024. Scientific Recognition: Fellow, IEEE Member, ACM Member, AAAS Member, Sigma Xi Agrawala has advised over thirty Ph.D. students, many of whom now lead research in academia and industry. His research has been funded by DARPA, NSF, and AFOSR, with corporate partnerships from IBM, Novell, and AT&T. He previously worked at Honeywell Information Systems, where he designed an Optical Character Reader. He has also served as a consultant to the UNDP and the Government of India, and as a technical expert in legal cases. He leads the MIND Lab, which focuses on mobile computing, wireless networks, and context-aware systems , continuing to innovate in real-time and networked systems.

Tadeusz Więckowskiمشاهده پروفایل

استاد

• Electromagnetic Compatibility
• Antenna Theory
• Radio Wave Propagation
• +۶ مورد دیگر

Tadeusz Więckowski is a Professor and Head of the Department of Telecommunications and Teleinformatics at the Faculty of Information and Communication Technology, Wrocław University of Science and Technology. His work bridges advanced electromagnetic theory with practical telecommunications systems. His research interests include: Electromagnetic Compatibility (EMC) of devices and systems Antenna theory and design Radio wave propagation Radiocommunication systems Gyrotron and microwave source technologies Testing methodologies for EMC infrastructure The recent publications highlight a strong focus on high-frequency electromagnetic systems, particularly gyrotrons for spectroscopy and electromagnetic compatibility testing. His work spans both theoretical modeling and experimental validation, with applications in telecommunications, broadcasting (e.g., DAB), and scientific instrumentation. There is also engagement with modern topics such as IoT testing, intrusion detection, and neural networks for document verification, indicating interdisciplinary reach. Tadeusz Więckowski leads the Department of Telecommunications and Teleinformatics, which is involved in the operation of the Laboratory for Electromagnetic Compatibility. This infrastructure supports advanced research in signal integrity and system compatibility.

Francesco Picarielloمشاهده پروفایل

پژوهشگر

• Electrical and Electronic Measurements
• Data Acquisition Systems
• Compressive Sampling
• +۷ مورد دیگر

Francesco Picariello is a Researcher at the Department of Engineering (DING) at the University of Sannio, specializing in Electrical and Electronic Measurements (ING-INF/07). His academic profile shows extensive expertise in measurement systems, data acquisition, and signal processing with applications across multiple domains including biomedical engineering, structural health monitoring, and wireless communications. His research interests focus on the design, implementation, and metrological characterization of mobile measurement systems, wireless sensor networks, data acquisition systems based on compressed sensing, signal processing, and image processing. These research activities have been applied to intelligent transportation systems, aerial photogrammetry using UAVs, indoor navigation, motion tracking, power consumption analysis of processors, wideband data acquisition systems, and physiological monitoring applications. Dr. Picariello's work demonstrates significant trends in compressive sampling techniques, with numerous publications on ECG signal processing, RF emitter localization, and structural health monitoring systems. His research shows a clear progression toward IoT integration, wearable medical devices, and security applications for communication channels. His scientific collaborations include institutions such as the University of Naples 'Parthenope', Military University of Technology of Warsaw, National Institute of Standards and Technology (NIST), Keysight Laboratories, CERN Institute, and the University of Tokyo, reflecting the international recognition of his work. As an active researcher with publications spanning from 2016 to 2025, Dr. Picariello has made substantial contributions to measurement science, particularly in the development of novel techniques for data acquisition, signal processing, and system metrological characterization across multiple application domains.

Kok-Leong Ongمشاهده پروفایل

استاد

• Business Analytics
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

Kok-Leong Ong is a Professor of Business Analytics at RMIT University's College of Business & Law, where he serves as Director of the CoBL Technology Initiative, Director of the Enterprise AI and Data Analytics Hub, and Head of the Department of Information Systems and Business Analytics. With over $1.4 million in research grants, he specializes in translating analytics and machine learning into practical business applications across multiple verticals including e-Commerce, public health, sports, urban studies, marketing, and learning. His research has consistently ranked in the top 25% and 5% of works in their domains according to Altmetric. Professor Ong's research spans Business Analytics, Artificial Intelligence, Machine Learning, and Information Systems, with a focus on making data actionable through analytics-2-business translation, automation, and applications. His work addresses critical challenges in cybersecurity for wearable health devices, ECG-based authentication systems, federated learning privacy, carbon accounting for maritime transport, and AI-driven solutions for vehicle damage detection. He has developed frameworks for operationalizing analytics in business contexts and has made significant contributions to mHealth applications for infant care and breastfeeding support. Among his notable scientific achievements, Professor Ong has received two VC's Teaching Awards and was named one of Australia's Leading Data Academics by CDO Magazine in 2021. He has secured over $1.4 million in research funding and serves on prestigious conferences including KDD and PAKDD. His research has been recognized for its high impact, with many works ranking in the top percentiles of their respective fields. Professor Ong actively supervises numerous research students across diverse topics including human-aligned AI, securing LLMs for financial applications, cyber risks in enterprise AI systems, ECG authentication security, and AI transformation for SMEs. He previously played a key role in establishing Australia's first Business Analytics degree and led La Trobe Business School's analytics program from 2015 to 2019 before joining RMIT in September 2021. Through the Enterprise AI and Data Analytics Hub and his role with RMIT University's Digital3 board, Professor Ong leads initiatives focused on bridging the gap between advanced analytics capabilities and business value creation. His work emphasizes practical implementation of AI and analytics solutions that address real-world challenges across multiple industry sectors.

Gesche Joostمشاهده پروفایل

استاد

• Design Research
• Human-Computer Interaction
• Wearable Technology
• +۳ مورد دیگر

Prof. Dr. Gesche Joost is Professor of Design Research at Berlin University of the Arts since 2011, leading the Design Research Lab, and heads the Design Research eXplorations department at the German Research Center for Artificial Intelligence (DFKI) since 2016. She serves on the board of the Einstein Center Digital Future Berlin and leads research on digital sovereignty and maker culture at the Weizenbaum Institute for the Networked Society. Her research focuses on: Design Research methodology Human-Computer Interaction for tangible interfaces Wearable Technology with textile integration Digital Sovereignty frameworks Community-driven Maker Culture Sensor-rich Smart Textiles Recent publications reveal a trajectory toward socially embedded technology through co-creation processes, with emphasis on capacitive textile sensing for motion capture and communication devices that prioritize user agency and accessibility in human-technology interaction. Her scientific recognition includes: Young Talent Award for Science (2009) by the City of Berlin Designation as '100 Head of Tomorrow' in the federal 'Germany – Land of Ideas' initiative (2006) She directs major research initiatives including MYOW (personalized wearables development), TexaS (textile-adapted electronics), OrthoSuPer (orthopedic sensor platforms), and Minodu (sustainable land management in Africa), while leading the Design Research Lab and DFKI's Design Research eXplorations group to bridge academic research with industrial applications.