Dear Colleagues, The rapid evolution of wearable sensors is revolutionizing health monitoring and personal wellness. By enabling the continuous and real-time tracking of a wide range of health and behavioral metrics; these devices provide valuable insights that can inform preventive measures; guide rehabilitation strategies; and support personalized healthcare. Beyond personal health; they also expand our capacity to understand and respond to environmental factors that affect our overall well-being. This Special Issue will showcase the state of the art in wearable sensor technologies for health monitoring; highlighting recent advances in sensing materials; device engineering; and data analytics. We welcome contributions that explore novel sensor designs; groundbreaking applications; and multidisciplinary approaches that push the boundaries of wearable technologies and their role in healthcare. We invite submissions on a variety of topics, including, but not limited to, the following: Next-generation wearable sensors for health monitoring;; New sensing materials for health applications;; Innovations in physical rehabilitation using wearable devices;; Continuous activity tracking and physiological sensing;; Wearable solutions for personalized medicine and telehealth;; Environmental and lifestyle monitoring for preventive healthcare;; Advanced data analytics and machine learning for wearable health;; AI-driven innovations in wearable healthcare;; Security and privacy in wearable health platforms.; Dr. Yang LiuDr. Stephen XiaDr. Ting DangGuest Editors

Dear Colleagues, The Special Issue titled, “Sensor Technologies for the Reliability and Robustness of Current Measurement”, aims to explore the latest advancements in measurement technologies that enhance the precision, reliability, and robustness of current measurement systems. In an era where accurate current measurement is critical for various applications, ranging from industrial automation to renewable energy systems, it has become increasingly important to address the challenges associated with measurement inaccuracies, environmental influences, and component degradation. This Special Issue seeks to gather research contributions that present novel methodologies, technologies, and applications designed to improve measurement reliability and robustness in diverse operational settings. The background of this Special Issue is grounded in the growing demand for reliable current measurement solutions amid rapid technological advancements. As industries evolve, the complexity of current measurement systems has increased, necessitating innovative approaches to ensure consistent performance. The purpose of this Special Issue is to highlight cutting-edge research that promotes the development of resilient measurement technologies, including new sensor designs, advanced calibration techniques, and innovative data processing algorithms. By fostering discussions on these topics, we aim to provide a platform for knowledge exchange that will inspire future research and practical applications, ultimately contributing to the overall advancement of current measurement technology. The scope of this Special Issue includes, but is not limited to, the following topics: We look forward to receiving your contributions. Prof. Dr. Shaoyi XuProf. Dr. Sheng LinDr. Chengtao WangGuest Editors

Dear Colleagues, Microfluidic diagnostics have rapidly expanded across healthcare sectors, enabling highly sensitive and rapid analysis of a wide range of biomarkers in biological fluids. Microfluidic biosensors allow the analysis of diverse sample types, including blood, serum, sweat, saliva, urine, tears, and interstitial fluid (ISF), through precise fluid manipulation and an automated, miniaturized sensing process. This Special Issue aims to highlight how microfluidic devices are engineered for different biofluids and to showcase the diagnostic opportunities that arise from each sample type. Recent years have witnessed significant advancements in wearable microfluidics for sweat sensing, microneedle-based biosensors for ISF sampling, contact lens platforms for tear analysis, and point-of-care microfluidic biosensors for blood, saliva, and urine multiplex analyte testing. Each biofluid offers unique diagnostic value, and microfluidic technologies provide the capability to collect, filter, process, conduct, and analyze these samples in compact and integrated formats for clinical applications. This topic aligns closely with the scope ofSensors, which emphasizes innovations in sensing platforms, analytical performance, and device integration for biomedical and healthcare applications. Microfluidic diagnostics inherently rely on advanced sensor technologies, making them an ideal focus for the journal. We invite researchers to contribute their latest findings and perspectives to this Special Issue and help shape the future of biofluid-based microfluidic diagnostics. Dr. Fereshteh VajhadinGuest Editor

The Special Issue features research on dynamic, intelligent, and multimodal transportation networks and systems, honoring Professor Hani Mahmassani’s legacy and vision.

Dear Colleagues, The Special Issue on Wireless Sensor Networks (WSNs) and Next-Generation Communication Technologies explores the convergence of WSNs with advanced communication systems such as 5G/6G, edge computing, and artificial intelligence (AI) to address challenges in the Internet of Things (IoT) era. Key topics include the following: This issue invites interdisciplinary research, including theoretical analyses, algorithm design, system prototypes, and deployment case studies, aiming to advance the robustness, intelligence, and sustainability of WSNs in next-generation communication landscapes. Dr. Li ChenGuest Editor

Dear Colleagues, Due to increasing spectrum congestion, there is great interest in combining radar and communications equipment on the same platform. As software-defined radio and digital signal processing are widely used in communications and radar, the hardware and RF front-end for both devices tend to be similar. This makes it more feasible to use the same RF and hardware platforms for joint radar–communication (JRC). A JRC device would allow more efficient planning and use of radio spectrum resources. It could also enable new applications that require both information exchange and precise localization. For this reason, waveform design for JRC systems has recently received considerable attention. Despite several efforts, most state-of-the-art waveforms are far from achieving ideal radar and communication performance. This Special Issue is dedicated to all types of waveform/sensor design approaches that will enable a combination of radar/sensing and communication. Dr. Matthias Wei?Guest Editor

Dear Colleagues, Ultrasonic sensing, having been used in nature for millions of years for communication, navigation, and food foraging, has evolved. This natural technology has been adapted to human applications following the invention of piezoelectric materials, which made its usage possible. Since then, ultrasonic testing has advanced significantly and has been widely applied in both medical and industrial fields, helping save millions of lives. Today, a new era in ultrasonic testing is emerging, driven by progress in manufacturing processes, the development of new materials, advanced computational algorithms such as AI, high-performance computing tools, and the integration of robotics and automation. This Special Issue aims to capture recent advancements in ultrasonic testing and provide insight into the future direction of this technology—working toward a safer and more efficient world. Dr. Ehsan Dehghan-NiriDr. Hossein TaheriGuest Editors

Dear Colleagues, Plasmonic sensors are at the forefront of sensing technology, with recent advancements bringing new levels of sensitivity, selectivity, and multifunctionality to their various applications. Emerging trends are highlighting innovative nanostructured materials, such as novel plasmonic nanomaterials and hybrid nanostructures, which have the potential to transform these sensors’ detection capabilities in chemical, biological, and environmental sensing. These developments, alongside the integration of plasmonic systems with photonic, electronic, and digital technologies, enable highly precise, real-time monitoring in diverse sectors, including in environmental monitoring, medical diagnostics, and security. Notably, the integration of AI and machine learning into plasmonic sensors is amplifying their potential, allowing for enhanced data analysis, pattern recognition, and predictive capabilities that are reshaping sensor accuracy and speed. This Special Issue invites authors to submit original research articles that explore these innovations or review papers that provide comprehensive overviews of the latest advances and trends in plasmonic sensing. We welcome submissions that offer fresh perspectives on new sensing applications and novel material approaches or interdisciplinary insights that will help define the next generation of plasmonic sensor technologies. Dr. Muhammad Ali?ButtGuest Editor

Dear Colleagues, Micro-/nanorobots have progressed significantly over the recent two decades. These tiny machines have demonstrated their ability to transform current medical procedures by offering profound capabilities in targeted therapy, early-stage diagnostics with minimally invasive procedures, and real-time monitoring at the cellular level. They have a wide range of applications, such as tissue biopsy and sampling, in vivo imaging and monitoring, ophthalmology, cardiovascular diagnostics and monitoring, cancer detection, and gastrointestinal diagnosis. Recent trends in micro-/nanorobotic systems for medical diagnosis require the integration of high-sensitivity miniaturized sensors into these robots to provide essential detection and monitoring functions. This Special Issue highlights the latest advances and novel ideas in the design and application of micro/nanoscale robots for medical diagnostics and targeted therapeutics. We welcome submissions encompassing short communications, original research articles, and comprehensive review articles. Topics for this Special Issue include, but are not limited to, the following areas: Micro-/nanorobotic diagnostic sensors;; Micro/nano sensors;; Micro-/nanofabrication techniques;; Soft micro-/nanorobots;; Functionalized micro-/nanorobots;; Bacteria as micro-/nanorobots for medical diagnosis;; New and biodegradable materials;; Biocompatible micro-/nano sensors.; We look forward to receiving your valuable contributions to this Special Issue. Dr. Ali GhanbariDr. Tapas SenGuest Editors

Dear Colleagues, Over the past decade,measurements and sensorshave become a cornerstone of technological innovation, enabling unprecedented data acquisition, monitoring, and control capabilities, and their evolution has been driven by the development ofsmart systems—fromsmart citiesandsmart gridstoIndustry 4.0anddigital agriculture—where measurement procedures and sensors form the essential link between the physical world and digital intelligence. Advances inmaterials science, MEMS/NEMS, nanotechnology, and flexible electronicsare leading to novel sensing platforms with improved sensitivity, selectivity, and robustness. Meanwhile, the integration of sensors withwireless communication technologies (IoTand5G/6G)andAI-driven data analyticsis opening up new perspectives in terms of real-time decision-making, autonomous systems, and adaptive environments. The applications of modern measurement sensors are extremely diverse and encompass the following: Healthcare and biomedical engineering—wearable sensors, biosensors, and contactless diagnostic devices;; Robotics and autonomous systems—perception, navigation, and human–machine interaction;; Smart cities and infrastructures—structural health monitoring, environmental quality, mobility management;; Precision agriculture and food safety—soil and crop monitoring, smart irrigation, and traceability;; Energy systems—smart grids, renewable integration, and efficiency monitoring.; At the same time, thetheory of measurementand themetrological characteristics of sensors(accuracy, resolution, sensitivity, stability, response time, and uncertainty) remain central to ensuring reliability and reproducibility, especially in safety-critical domains such as healthcare, aerospace, and industrial automation. The development ofsensor calibration methods, standards, and uncertainty modellingis therefore essential to transform raw sensing signals into meaningful and actionable data. Dr. Laura FabbianoGuest Editor