Twelve special sessions, each with its own abstract track. Read the scope below, then submit through the Submit Abstract button on that topic.
Chemical sensing is increasingly shaped by the integration of sensing hardware, computational inference, and system-level design. For decades, chemometric analysis and algorithm development have supported interpretation of complex sensor data, but the rapid expansion of mobile computing, embedded intelligence, and networked sensing has made data-driven approaches even more central to sensor research and development. At the same time, many sensing challenges — including drift, cross-sensitivity, low-concentration detection, and operation in chemically complex environments — require more than analytics alone. This special session will focus on artificial intelligence, machine learning, chemometrics, sensor arrays, multi-output sensors, and hardware–analytics co-design for trusted sensing. A particular emphasis will be placed on next-generation multi-output gas sensor systems, where independent excitation variables, advanced electronics, and edge analytics can provide the information richness needed for multi-analyte discrimination, drift correction, robust calibration, and improved selectivity and reliability. The session will also highlight how computational methods can be used not only to interpret data, but also to guide the design of sensing materials, devices, and networks. We invite contributions spanning artificial neural networks and deep learning, Bayesian inference, chemometric methods, low-power and edge computing, machine learning hardware integration, sensor array design and optimization, multi-output gas sensors, and AI-enabled sensing applications in environmental monitoring, industrial process control, precision agriculture, medical diagnostics, and security.
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Currently medical diagnostics is often based upon expensive, lab-based, large-scale analytical instruments. Sensors, wearable devices, and lab-on-chips are under development for rapid, inexpensive and field-deployable detection and diagnosis. This symposium will focus on sensors for improving individual health and wellbeing as well as food safety. The scope includes, but not limited to: (i) sensors using antibodies, nucleic acids, and small molecules, and polymers as molecular recognition probes, (ii) sensors using nanostructures and advanced materials to improve performance, (iii) wearable and non-invasive devices, (iv) point-of-care testing (POCT) tools, (v) lab-on-chips, (vi) in-vitro and in-vivo imaging/ spectroscopic techniques, (vii) pathogen-related sensing, (viii) reagent free sensing, and (ix) materials, devices, and fabrication techniques, which will have potential portable applications in food safety, biomedical and healthcare applications.
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Electrochemical and conductometric gas sensors based on metal oxides have a long history in environmental monitoring, healthcare diagnostics, food quality, industrial process control, automotive technologies, smart cities, and meeting the needs of emerging sustainability challenges. Continuous advances in sensing materials, device architectures, miniaturization, and data-driven analytics are enabling the next generation of highly sensitive, selective, stable, and low-power sensor platforms. Current research focuses on improving selectivity, long-term stability, reproducibility, response/recovery dynamics, and operational reliability under diverse environmental conditions. Significant attention is also being directed toward the design and synthesis of advanced functional nanomaterials, including metal oxide nano-heterostructures, emerging materials (e.g., metal–organic frameworks (MOFs), carbon-based materials, transition metal dichalcogenides (TMDs), 2D materials, MXenes, quantum dots and polymers), hybrid composites and multifunctional sensing interfaces with enhanced physicochemical properties and novel sensing mechanisms.
This symposium welcomes contributions on all aspects of gas sensing technologies based on electrochemical and conductometric principles, including amperometric, potentiometric, mixed-potential, impedimetric, and chemiresistive sensing platforms based on metal oxides and other novel materials and their hybrid composites, and emerging neuromorphic gasistors. Topics of interest further include in situ and operando characterization techniques, interface engineering, catalytic activation, and defect engineering approaches for enhanced sensing performance. The symposium also encourages interdisciplinary and cross-cutting research involving arrays of metal oxide sensors, and use of artificial intelligence (AI), machine learning (ML) and big-data analytics.
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Economic losses to agriculture due to pest and pathogen infections are estimated at $40 billion annually to the agricultural industry. Today environmental monitoring is becoming more important as stresses due to global warming influence weather patterns and rainfall. Distributed sensor arrays for gas and vapor monitoring in the environment are a topic where AI can help with the calibration, drift and base-line correction in sensor systems. In addition, the early detection of pest or pathogen infection in agricultural crops through reliable detection of disease symptoms could help in improved crop management practices such as selective and timely application of chemicals thereby reducing the cost of spraying in the crop field which in turn leads to improved food quality and reduced environmental footprint of pesticides and fungicides. There is a pressing need to develop rapid, highly selective and sensitive detection technologies for early identification of plant pathogen infections. While a variety of molecular methods are currently being used for this purpose, an inexpensive, high selective, rapid method for the detection of pathogens is highly desired. Electrochemistry biosensors combined with drone and microfluidic technologies offer unique advantages for this application. Electrochemical sensors have been widely explored for medical and environmental sensing applications, but not as much for agricultural applications. A symposium focusing on the electrochemical sensors for agriculture and food applications would serve as a platform for electrochemists, crop scientists, food scientists and micro/molecular biologists to come together to solve major challenges in this area.
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Advances in sensing technologies are critical towards enabling scientific discovery, energy innovation, environmental monitoring, and exploration in some of the most challenging conditions encountered in natural, engineered and extra-terrestrial systems. Extreme environments—characterized by high or low temperatures, intense radiation fields, high pressures, corrosive chemistries, microgravity, and limited accessibility—pose significant challenges to conventional sensing approaches.
We invite original research contributions, reviews, and perspectives on the development, characterization, and deployment of sensors designed to operate reliably under extreme conditions. Of particular interest are systems capable of transducing biological and chemical signatures in harsh environments, including the detection of gases, ions, biosignatures, and molecular species. Submissions should clearly define the extreme environment of interest (e.g., temperature, pressure, radiation dose, corrosive species, space vacuum), and quantitatively document sensor performance and stability under representative conditions. Considerations on/progress towards validation of outcomes in such environments, and analysis methods are invited.
We welcome submissions in, but not limited to, the following areas:
- Sensors for high-temperature environments (e.g. turbines, molten salts, power generation systems)
- Low-temperature cryogenic sensing of permanent gases or other gases of interest
- Radiation-tolerant and radiation-hardened sensors (e.g., nuclear reactors, space radiation environments)
Sensors for space and extraterrestrial environments (e.g., planetary exploration, vacuum conditions, extreme thermal cycling) - Downhole and subsurface sensing (e.g., oil and gas reservoirs, geothermal systems, carbon sequestration sites)
Chemical sensing of gases, ions, and molecular species under extreme conditions
Sensing of biosignatures, biomolecules in extreme conditions - Sensors for process monitoring, continuous monitoring (e.g. in a chemical process cycle or within bioreactors)
- Electrochemical, optical, piezoelectric, and semiconductor-based transduction mechanisms
- Materials and architectures for durability, stability, and selectivity in harsh environments
- In-situ and operando sensing techniques for harsh environments
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Multi-day, multi-session conference on all aspects of recent advances in chemical sensors and biosensors. Topics on sensor development and fabrication include new developments in: sensor design, function, response mechanism, miniaturization, and evaluation and characterization. Novel sensors and materials including, gas, acoustic, mechanical, magnetic, liquid sensors, miniature instruments, and bio-recognition are also included. Technology for manufacture of sensors at low cost, sensor supply chain development, and approaches to quality control for sensors and sensing materials is sought. Novel use of nanotechnology and nano-engineering materials, including modeling of the performance of chemical and biosensor selectivity and sensitivity. Sensors that expand the range of measurement capabilities into harsh environments are also included as well as the use of Additive Manufacturing to provide enhance sensor technology.
The capabilities of these sensor technologies are also rapidly being enhanced by integration into sensor systems. These sensor systems include integration with power, computational, and communication systems. These sensor systems can include a variety of sensors, such as biomedical and chemical sensors as well as complementary technology such as physical sensors, with higher level of information inference associated with identification, embedded signal processing and networking of the data yielding smart sensor systems. Soft sensors approaches can enhance the capabilities of sensors systems and the information provided to the use. Sensors embedded within systems and devices, sensor networks, signal processing, data fusion, and efficient data transfer as well as interfacial engineering for sensors are included.
Topics on the application of sensors, sensor systems, micro-instruments, and networks for safety and energy, athletics, home, manufacturing, transportation, industrial, security, military, space, and defense applications are also encouraged. Novel techniques for combining sensory information, methods for data collection and data extraction, ultra-low power methods of energy management, and in-field calibration methods, and optimization of methods for combining/ evaluation of data from orthogonal sensing principles. Novel methods for combining sensors into arrays and integration of different sensing modalities into compact multi-dimensional systems, and methods for their data analysis, signal processing, and interpretation.
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The availability of low cost, short range radio frequency (RF) technologies combined with significant advances in wireless networking continues to accelerate the widespread deployment of wireless sensor networks and IoT enabled sensing infrastructures. Modern sensor nodes increasingly integrate heterogeneous sensing capabilities, including biomedical, chemical, environmental, physical, and structural sensors, supported by embedded intelligence for identification, local signal processing, and autonomous networked decision making. This session invites high quality contributions that explore innovative architectures, algorithms, and system level solutions across the full spectrum of sensor-driven IoT technologies. Topics of interest include novel methods for integrating sensors into compact multi dimensional arrays, fusion of diverse sensing modalities, edge and in network signal processing, robust communication protocols, and advanced data interpretation frameworks. The session aims to bring together researchers, practitioners, and industry experts to exchange insights, share practical experiences, and discuss emerging challenges and breakthroughs, shaping the next generation of intelligent sensor networks.
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Sensors based upon micro-electro-mechanical systems, field effect transistors (FETs) and nanomechanical devices for chemical and biosensing; these types of sensors use novel materials and methods of integration of nanomaterials with thin films with specific properties for chemical sensing. The manufacturing processes and development of methods for integration of novel materials with CMOS circuit fabrication processes to achieve high yield of active devices with integrated electronics. FET chemically selective devices, nanowires, nanostrutures and nanoporous materials for chemical and biosensors including novel nanostructures and engineered artificial surfaces as well as methods for the CMOS compatible manufacture of sensors, their miniaturization and methods for obtaining sufficient quality control and inspection, calibration of sensors, which are miniaturized, are topics of interest. Novel FET electronic interfaces for chemical and biosensors and surface acoustic wave sensors, microresonators for chemical detection and micro/nanocantilever based mass and surface stress based sensors that include a novel approach for chemical and bio-detection are also included.
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Innovative use of fluid manipulation and handling at the microscale to enable multistep chemical and biosensing. Including microfluidic mixing, enrichment, sorting, sample preparation and automation of flow injection analysis methods are included in this call. Pumping of fluids with electrophoretic, magnetic or biomimetic principles are also included in addition to modeling of fluid transport for sensors and sensor systems. Novel sensors for the detection and analysis of liquids and their properties in addition to component parts, including particle counting and dielectrophoretic manipulation of cell or protein suspensions.
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Optical sensors based upon adsorption, emission or interferometric principles and quantum dot based detection principles are being developed to enable sensitive and multiplexed detection of a range of analytes in gas phase and for biomedical assays. Plasmonic sensing devices provide significant enhancement in sensitivity and selective ligand binding for discrimination of target analytes.
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The fields of chemical sensors have grown tremendously from improvements made to the transducer and readout components as well as in sensing materials and interface design to meet the growing standards for accuracy, cost, portability, and accessibility. Improvements in the affinity, specificity, and stability of chemical and biosensing components, as well as reductions of the cost for their mass production, are often regarded as roadblocks to chemical and biosensor technology in both technical and commercial senses. While the transducer and readout components can often be interchangeable for a specific target analytes, the chemical and biosensing component must be specifically tailored to the interface for their uses for detections. This call for papers aims to highlight recent developments in sensing materials and sensing interface design for chemical and biosensors. The sensing materials include (1) inorganic materials such as graphene, metal nanoparticles, nanostructure-decorated semiconductor, (2) organic materials such as macrocyclic compounds, conducting polymers, molecular imprinted polymers, metal organic framework and cavitand molecules, (3) biological materials such as antibodies, recombinant antibodies and peptides, protein receptors, DNA, RNA, aptamers, carbohydrates; (4) multifunctional materials such as ionic liquids; (5) smart tunable materials such as those responsive polymers to pH, light and temperature stimulation. It will also highlight the associated sensing interface design using these materials that can lead to remarkable innovation in the design and construction of chemical and biosensors with various readout mechanisms, significant improvements in sensor function and the emergence of new types of chemical and biosensor.
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Quantum technologies are progressing from fundamental research toward practical sensing applications, creating new opportunities for transformative advances in chemical and biological sensing. This session will highlight emerging quantum sensing concepts, devices, and systems that can enable unprecedented sensitivity, selectivity, stability, and new sensing modalities for chemical and biosensing applications by exploiting quantum phenomena such as coherence, spin states, quantized energy levels, and entanglement. Topics of interest include: (i) quantum sensors based on spin defects, atomic systems, superconducting devices, and quantum photonics; (ii) quantum materials, engineered interfaces, and device architectures for sensing; (iii) quantum-enhanced spectroscopy, imaging, and metrology; (iv) integration of quantum sensing concepts with microfluidics, lab-on-a-chip devices, and portable instrumentation; (v) data analysis, signal processing, and machine learning methods for quantum-enabled sensing; (vi) hybrid classical-quantum approaches to signal processing and data interpretation; and (vii) translation of quantum sensing concepts into applications in health, environmental monitoring, industrial systems, and security. Contributions are encouraged from researchers addressing both enabling science and engineering challenges, including robustness, manufacturability, miniaturization, and real-world deployments. This session will provide an interdisciplinary forum for defining the future of quantum-enabled chemical and biological sensing and for identifying pathways that move quantum sensor technologies from laboratory demonstrations to impactful analytical tools.
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