Focused Sessions

The upcoming focus session aims to provide a platform for experts in the field of Bio-Remote Sensing and Wearable Bio-Sensors to showcase their latest research outcomes, concepts, and practical applications in the domains of remote diagnosis and prognosis of human vital signs such as electrocardiogram (ECG), electroencephalogram (EEG), photoplethysmography (PPG), and other relevant indicators. During this session, the focus will be on hybrid models that utilize both conventional algorithms and Artificial Intelligence, as well as embedded systems that have (inter-)connectivity to IoT systems. The platform, which is based on cloud or grid technology, enables remote data storage and management for diagnosis and prognosis, facilitating effective healthcare at an early stage. This session will emphasize the importance of utilizing such technologies to improve healthcare outcomes. This focus session will explore novel technologies and algorithms for signal processing, remote sensing and measurement, grid and cloud computing, wireless communication, integrated sensor fusion networks, thermal imaging, computer vision, and more.

This focused session on Chemical Agent Detection aims to provide a forum for discussion on all relevant sensors for detecting, identifying, and monitoring chemical warfare agents. Note that more volatile agents (e.g., sarin) are likely encountered as gas clouds. In contrast, persistent agents (e.g., VX, novichok) tend to deposit near the release site, resulting in surface contamination, or they are transported through the atmosphere as aerosols. The session is intended to cover a broad range of sensor technologies (e.g., point sensors, remote sensors, optical standoff sensors) and their civilian and military application in various form factors (e.g., handheld, portable, platform-based), thereby merging expert knowledge and technological advancements from several different fields of interest. The scope of the session may expand to other related current research in relation to chemical detection, for instance, desorption methods, surveillance and reconnaissance techniques, sensor networks, sensors on unmanned platforms (UAV/UGV), artificial intelligence, and machine learning techniques.

The concept of sustainability is multifaceted and in sensor systems it typically involves conscious choice of materials, resource-efficient processes and circular and eco-design of the device. However, the approach is still very new and for its smooth transition from lab to fields needs extensive research from various domains of science and engineering. The contributed talks will focus on the transient aspect of various sensor systems focusing on biodegradable and bioderived materials, low-dimensional electronics, plant-e-tronics, development of printed and circular biosensors etc. The session will also address how the transient sensor development and usage will contribute to low carbon emissions and minimize its environmental impact.

Diagnostics in resource poor settings has been greatly augmented with the presence of smart technologies. The integration of micro-fabrication technologies in newer and easy to fabricate substrates like PCB or paper/membranes and combining their readouts with the power of AI/ML methods has lead to the use of smart approaches to carry out cutting edge diagnostics with a wider reach. Further modules that are important to provide the data through fusion of sensor networks are subjected to interventions from intelligent technologies. It is therefore, very important to review the area for the sake of new domain knowledge creation which may be of high level consequence for the next generation treatment modules. In context of this it is prudent to mention that Lateral flow assay technology developed on paper/ membrane substrates and Lab-on-printed circuit board (lab-on-PCB) approaches have gained wide traction specially for resource poor setups. It is therefore, very important to review this integration between smart approaches of data analysis and low cost platform design for the sake of new knowledge creation which may have high level consequence for next generation intelligent healtchcare. The present session aims to develop a platform for reviewing these emerging technologies for diagnostics specific to low resource settings.