{"id":564,"date":"2025-11-06T19:13:17","date_gmt":"2025-11-06T19:13:17","guid":{"rendered":"https:\/\/innovatexconference.com\/biosensors\/?page_id=564"},"modified":"2025-11-29T07:06:49","modified_gmt":"2025-11-29T07:06:49","slug":"speakers","status":"publish","type":"page","link":"https:\/\/innovatexconference.com\/biosensors\/speakers\/","title":{"rendered":"Speakers"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"564\" class=\"elementor elementor-564\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-cc57b74 elementor-section-height-min-height pageheader elementor-section-boxed elementor-section-height-default elementor-section-items-middle\" data-id=\"cc57b74\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;shape_divider_bottom&quot;:&quot;triangle&quot;,&quot;shape_divider_bottom_negative&quot;:&quot;yes&quot;}\">\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t<div class=\"elementor-shape elementor-shape-bottom\" aria-hidden=\"true\" data-negative=\"true\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 1000 100\" preserveAspectRatio=\"none\">\n\t<path class=\"elementor-shape-fill\" d=\"M500.2,94.7L0,0v100h1000V0L500.2,94.7z\"\/>\n<\/svg>\t\t<\/div>\n\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-f37c142\" data-id=\"f37c142\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-967fc20 elementor-widget elementor-widget-heading\" data-id=\"967fc20\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Speakers<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8054576 breadcrumb_custom elementor-widget elementor-widget-shortcode\" data-id=\"8054576\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\"><span><span><a href=\"https:\/\/innovatexconference.com\/biosensors\/\">Home<\/a><\/span><\/span><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-86502fa elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"86502fa\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-94c2922\" data-id=\"94c2922\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4c1aba7 elementor-widget elementor-widget-heading\" data-id=\"4c1aba7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Speakers<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9062eed elementor-widget elementor-widget-shortcode\" data-id=\"9062eed\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\">    <style>\n    \/* keep existing design as-is; only adding sticky behaviour for filter bar *\/\n    .conference-filter-bar {\n        position: -webkit-sticky;\n        position: sticky;\n        top: 0;\n        z-index: 1050;\n        background: #ffffff;\n        padding: 12px 0;\n        border-bottom: 1px solid #eee;\n    }\n    .conference-filter-bar .filter-wrap {\n        display:flex;\n        gap:12px;\n        align-items:center;\n    }\n    .cs-loader {\n        display:inline-block;\n        width:28px;\n        height:28px;\n        border:3px solid #ddd;\n        border-top-color:#008080;\n        border-radius:50%;\n        animation: cs-spin .8s linear infinite;\n        vertical-align:middle;\n        margin-left:8px;\n    }\n    @keyframes cs-spin { to { transform: rotate(360deg); } }\n    <\/style>\n\n    <div class=\"conference-filter-bar mb-3\">\n        <div class=\"container\">\n            <form id=\"conferenceSpeakerFilter\" class=\"row g-2 align-items-center\">\n                <div class=\"col-auto filter-wrap\">\n                    <!-- Speaker Category -->\n                    <select class=\"form-select\" name=\"speaker-category\" id=\"speakerCategorySelect\">\n                        <option value=\"\">All Categories<\/option>\n                        <option value=\"speaker\">Speaker<\/option>                    <\/select>\n                <\/div>\n\n                <div class=\"col-auto filter-wrap\">\n                    <!-- Speaker Day -->\n                    <select class=\"form-select\" name=\"speaker-day\" id=\"speakerDaySelect\">\n                        <option value=\"\">All Days<\/option>\n                        <option value=\"day-1\">Day 1<\/option>                    <\/select>\n                <\/div>\n\n<!--                 <div class=\"col-auto\">\n                    <button type=\"button\" id=\"csFilterBtn\" class=\"btn btn-primary\">Filter<\/button>\n                    <span id=\"csLoader\" style=\"display:none;\" class=\"cs-loader\" aria-hidden=\"true\"><\/span>\n                <\/div> -->\n            <\/form>\n        <\/div>\n    <\/div>\n\n        <div id=\"conferenceSpeakerContainer\" class=\"conference-speaker-grid container\">\n        <div class=\"row justify-content-center\">\n                    <div class=\"col-md-3 col-sm-12 mb-4\">\n                <div class=\"speaker-card text-center p-3 shadow-sm rounded\">\n                    <div class=\"speaker-img mb-3\">\n                        <img decoding=\"async\" src=\"https:\/\/innovatexconference.com\/biosensors\/wp-content\/uploads\/2026\/01\/Copy-of-Copy-of-Robotics-1-250x300.png\" class=\"img-fluid rounded-circle\" alt=\"Raji V. Nair\">\n                    <\/div>\n                    <h5 class=\"speaker-title mb-1\">Raji V. Nair<\/h5>\n                                            <p class=\"speaker-country text-muted mb-2\">India<\/p>\n                                        <button type=\"button\" class=\"btn btn-sm\" data-bs-toggle=\"modal\" data-bs-target=\"#speakerModal5129\">\n                        View Details\n                    <\/button>\n                <\/div>\n            <\/div>\n\n            <!-- Modal -->\n            <div class=\"modal fade\" id=\"speakerModal5129\" tabindex=\"-1\" aria-labelledby=\"speakerModalLabel5129\" aria-hidden=\"true\">\n                <div class=\"modal-dialog modal-dialog-centered modal-lg\">\n                    <div class=\"modal-content\">\n                        <div class=\"modal-header bg-primary text-white\">\n                          <div>\n                            <h5 class=\"modal-title\" id=\"speakerModalLabel5129\">Raji V. Nair<\/h5>\n                                                            <p class=\"speaker-country-modal mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">India<\/p>\n                            \n                                                            <p class=\"text-muted mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">Sri Sathya Sai Institute of Higher Learning<\/p>\n                            \n                          <\/div>\n                            \n                            <button type=\"button\" class=\"btn-close btn-close-white\" data-bs-dismiss=\"modal\" aria-label=\"Close\"><\/button>\n                        <\/div>\n                        <div class=\"modal-body p-4\">\n                            <div class=\"speaker-description\">\n                                <p><strong>Abstract:<\/strong> Scalable Breath Figure\u2013Engineered Periodic Silver Nanostructures on Polymeric<br \/>\nSubstrates for Ultrasensitive and Reusable SERS Biosensing<\/p>\n<p>Surface-Enhanced Raman Scattering (SERS) has emerged as a promising next<br \/>\ngeneration biosensing technology due to its molecular specificity and ultrahigh sensitivity.<br \/>\nHowever, the practical translation of SERS into real-world biosensing platforms remains<br \/>\nconstrained by expensive fabrication routes, limited scalability, and poor reusability of<br \/>\nconventional substrates. In this work, we report a scalable, low-cost, and reusable photonic<br \/>\nplasmonic biosensing platform fabricated via the breath figure (BF) self-assembly approach,<br \/>\naddressing key challenges in the development of future biosensors.<br \/>\nThe BF method enables the formation of large-area, highly ordered periodic polymeric<br \/>\narchitectures that act as templates for the controlled confinement of silver nanostructures,<br \/>\nthereby generating dense electromagnetic hotspots essential for ultrasensitive detection. Both<br \/>\nin-situ chemical reduction and ex-situ plasma-assisted infiltration strategies were employed to<br \/>\nprecisely engineer nanoparticle distribution and interfacial coupling, achieving femtomolar<br \/>\nlevel detection limits (down to 0.1 fM) for model analytes. The resulting platforms exhibit<br \/>\nexcellent spectral resolution, high analytical enhancement factors (~107), and outstanding<br \/>\nbatch-to-batch reproducibility (RSD ~4.2%), fulfilling critical requirements for next<br \/>\ngeneration sensing technologies.<br \/>\nImportantly, TiO2-assisted photocatalytic regeneration enables efficient analyte removal and<br \/>\nsignal recovery exceeding 93% over multiple reuse cycles, highlighting the platform\u2019s<br \/>\nsustainability and long-term operational stability. Interfacial charge-transfer mechanisms<br \/>\nrevealed through XPS analysis further underline the intelligent material design contributing to<br \/>\nsensor regeneration. Successful detection in complex real samples demonstrates the platform\u2019s<br \/>\napplicability beyond laboratory conditions.<br \/>\nOverall, this work presents a future-ready SERS biosensing architecture that integrates<br \/>\nscalability, reusability, and ultrasensitivity within a single material system. The approach offers<br \/>\na viable pathway toward next-generation, field-deployable biosensors for environmental<br \/>\nmonitoring, biomedical diagnostics, and point-of-care analytical technologies.<\/p>\n                            <\/div>\n                        <\/div>\n                    <\/div>\n                <\/div>\n            <\/div>\n\n                    <div class=\"col-md-3 col-sm-12 mb-4\">\n                <div class=\"speaker-card text-center p-3 shadow-sm rounded\">\n                    <div class=\"speaker-img mb-3\">\n                        <img decoding=\"async\" src=\"https:\/\/innovatexconference.com\/biosensors\/wp-content\/uploads\/2026\/01\/Red-and-White-Minimalist-Hiring-Instagram-Post-5-240x300.png\" class=\"img-fluid rounded-circle\" alt=\"Errachid Abdelhamid\">\n                    <\/div>\n                    <h5 class=\"speaker-title mb-1\">Errachid Abdelhamid<\/h5>\n                                            <p class=\"speaker-country text-muted mb-2\">France<\/p>\n                                        <button type=\"button\" class=\"btn btn-sm\" data-bs-toggle=\"modal\" data-bs-target=\"#speakerModal5136\">\n                        View Details\n                    <\/button>\n                <\/div>\n            <\/div>\n\n            <!-- Modal -->\n            <div class=\"modal fade\" id=\"speakerModal5136\" tabindex=\"-1\" aria-labelledby=\"speakerModalLabel5136\" aria-hidden=\"true\">\n                <div class=\"modal-dialog modal-dialog-centered modal-lg\">\n                    <div class=\"modal-content\">\n                        <div class=\"modal-header bg-primary text-white\">\n                          <div>\n                            <h5 class=\"modal-title\" id=\"speakerModalLabel5136\">Errachid Abdelhamid<\/h5>\n                                                            <p class=\"speaker-country-modal mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">France<\/p>\n                            \n                                                            <p class=\"text-muted mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">University Claude Bernard Lyon<\/p>\n                            \n                          <\/div>\n                            \n                            <button type=\"button\" class=\"btn-close btn-close-white\" data-bs-dismiss=\"modal\" aria-label=\"Close\"><\/button>\n                        <\/div>\n                        <div class=\"modal-body p-4\">\n                            <div class=\"speaker-description\">\n                                <p><strong><em>Abstract: <\/em><\/strong>Advances in Point-of-Care Technologies for Biomedical Applications<\/p>\n<p><strong>\u00a0<\/strong>The incorporation of functionalized and modified micro- and nanostructures into biomedical applications has sparked significant research interest in recent years. Micro- and nanotechnology's potential in medicine and biomedical engineering is vast, encompassing areas such as implant and tissue engineering, as well as diagnosis and therapy. The current landscape demands the design of micro- and nanodevices that can effectively address biological challenges, leading to more efficient biomedical solutions. This presentation will focus on recent advancements in point-of-care (POC) systems developed within various European projects for handling and quantitative analysis. Specifically, the Hearten and KardiaTool projects aim to diagnose and monitor heart failure in patients by analyzing breath and saliva samples, enhancing analysis speed and efficiency while reducing sample and reagent consumption. These devices are capable of performing tasks such as sample pretreatment, separation, dilution, mixing, chemical reactions, detection, and product extraction. The entire analysis process can be fully automated, minimizing human involvement, preventing contamination, and ensuring repeatable experiments. Additionally, this presentation will address the challenges of scaling up POC devices, covering: (i) the fabrication of sensors and microfluidic devices, (ii) sensor functionalization to improve performance and capabilities, (iii) integration of existing detection techniques into the POC platform, and (iv) the development of quantitative readout extraction via handheld devices.<\/p>\n                            <\/div>\n                        <\/div>\n                    <\/div>\n                <\/div>\n            <\/div>\n\n                    <div class=\"col-md-3 col-sm-12 mb-4\">\n                <div class=\"speaker-card text-center p-3 shadow-sm rounded\">\n                    <div class=\"speaker-img mb-3\">\n                        <img decoding=\"async\" src=\"https:\/\/innovatexconference.com\/biosensors\/wp-content\/uploads\/2026\/02\/Red-and-White-Minimalist-Hiring-Instagram-Post-1-240x300.png\" class=\"img-fluid rounded-circle\" alt=\"Carla Sofia Rocha da Silva\">\n                    <\/div>\n                    <h5 class=\"speaker-title mb-1\">Carla Sofia Rocha da Silva<\/h5>\n                                            <p class=\"speaker-country text-muted mb-2\">Portugal<\/p>\n                                        <button type=\"button\" class=\"btn btn-sm\" data-bs-toggle=\"modal\" data-bs-target=\"#speakerModal5152\">\n                        View Details\n                    <\/button>\n                <\/div>\n            <\/div>\n\n            <!-- Modal -->\n            <div class=\"modal fade\" id=\"speakerModal5152\" tabindex=\"-1\" aria-labelledby=\"speakerModalLabel5152\" aria-hidden=\"true\">\n                <div class=\"modal-dialog modal-dialog-centered modal-lg\">\n                    <div class=\"modal-content\">\n                        <div class=\"modal-header bg-primary text-white\">\n                          <div>\n                            <h5 class=\"modal-title\" id=\"speakerModalLabel5152\">Carla Sofia Rocha da Silva<\/h5>\n                                                            <p class=\"speaker-country-modal mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">Portugal<\/p>\n                            \n                                                            <p class=\"text-muted mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">Institute of Advanced Technologies<\/p>\n                            \n                          <\/div>\n                            \n                            <button type=\"button\" class=\"btn-close btn-close-white\" data-bs-dismiss=\"modal\" aria-label=\"Close\"><\/button>\n                        <\/div>\n                        <div class=\"modal-body p-4\">\n                            <div class=\"speaker-description\">\n                                <p><strong>Abstract: From Biological Signals to Intelligent Decisions: AI and Machine Learning in Biosensors<\/strong><\/p>\n<p>The integration of Artificial Intelligence (AI) and Machine Learning (ML) into biosensor<br \/>\nsystems is redefining how biological signals are acquired, interpreted, and transformed into<br \/>\nactionable information. Biosensors play a crucial role in modern applications such as<br \/>\nhealthcare diagnostics, environmental monitoring, food safety, and wearable technologies.<br \/>\nHowever, conventional biosensing approaches often face limitations related to signal noise,<br \/>\nvariability of biological samples, limited sensitivity, and difficulties in real-time<br \/>\ninterpretation. The rapid growth of AI and ML offers powerful solutions to these challenges,<br \/>\nenabling biosensors to evolve from passive detection devices into intelligent, adaptive, and<br \/>\ndata-driven systems.<br \/>\nThe motivation for this presentation arises from the increasing availability of complex<br \/>\nbiosensor data and the pressing need for computational methods capable of extracting<br \/>\nmeaningful patterns from heterogeneous and high-dimensional signals. Biological data are<br \/>\ninherently noisy and context-dependent, making traditional analytical techniques<br \/>\ninsufficient for robust decision-making. AI-based approaches, particularly machine learning<br \/>\nand deep learning models, provide the capability to learn from data, identify subtle<br \/>\ncorrelations, and continuously improve performance as new data become available. This<br \/>\nparadigm shift is essential for advancing biosensors toward higher accuracy, autonomy, and<br \/>\nscalability.<br \/>\nThis talk presents a structured AI-driven framework for biosensor data analysis and system<br \/>\nenhancement. The proposed approach begins with data preprocessing techniques designed<br \/>\nto handle noise, missing values, and signal variability commonly found in biosensor<br \/>\nmeasurements. Feature extraction and selection methods are then applied to identify the<br \/>\nmost informative characteristics of biological signals. Supervised and unsupervised machine<br \/>\nlearning models are employed to perform classification, regression, and anomaly detection<br \/>\ntasks, while deep learning architectures are explored for complex pattern recognition and<br \/>\ntime-series analysis. Emphasis is placed on model validation, performance evaluation, and<br \/>\ncomputational efficiency to ensure real-world applicability.<br \/>\nKey insights from recent studies and applied scenarios demonstrate that AI-enhanced<br \/>\nbiosensors achieve significant improvements in sensitivity, specificity, and robustness<br \/>\ncompared to traditional systems. Examples include more accurate detection of biomarkers,<br \/>\nimproved monitoring of physiological parameters in wearable devices, and enhanced<br \/>\npredictive capabilities in dynamic environments. Additionally, AI techniques contribute to<br \/>\nintelligent biosensor design by supporting optimization processes, adaptive calibration, and<br \/>\npredictive modeling of sensor behavior under varying conditions. Beyond technical<br \/>\nperformance, the presentation addresses critical challenges associated with the adoption of<br \/>\nAI in biosensing. These include data quality and availability, model interpretability, ethical<br \/>\nconsiderations, and integration with existing clinical and industrial workflows. Strategies for<br \/>\nexplainable AI, standardized data pipelines, and interdisciplinary collaboration are discussed<br \/>\nas essential components for responsible and sustainable deployment.<br \/>\nIn conclusion, the convergence of AI, ML, and biosensor technologies represents a<br \/>\ntransformative step toward intelligent sensing systems capable of supporting timely,<br \/>\naccurate, and autonomous decision-making. By bridging computer engineering, data science,<br \/>\nand biosensor technology, this work highlights how AI can act as a catalyst for innovation,<br \/>\naccelerating the development of next-generation biosensors with meaningful impact across<br \/>\nscientific, industrial, and societal domains.<\/p>\n                            <\/div>\n                        <\/div>\n                    <\/div>\n                <\/div>\n            <\/div>\n\n                    <div class=\"col-md-3 col-sm-12 mb-4\">\n                <div class=\"speaker-card text-center p-3 shadow-sm rounded\">\n                    <div class=\"speaker-img mb-3\">\n                        <img decoding=\"async\" src=\"https:\/\/innovatexconference.com\/biosensors\/wp-content\/uploads\/2026\/02\/Red-and-White-Minimalist-Hiring-Instagram-Post-3-240x300.png\" class=\"img-fluid rounded-circle\" alt=\"Siyum Shewakena Beshahwored\">\n                    <\/div>\n                    <h5 class=\"speaker-title mb-1\">Siyum Shewakena Beshahwored<\/h5>\n                                            <p class=\"speaker-country text-muted mb-2\">Ethiopia<\/p>\n                                        <button type=\"button\" class=\"btn btn-sm\" data-bs-toggle=\"modal\" data-bs-target=\"#speakerModal5155\">\n                        View Details\n                    <\/button>\n                <\/div>\n            <\/div>\n\n            <!-- Modal -->\n            <div class=\"modal fade\" id=\"speakerModal5155\" tabindex=\"-1\" aria-labelledby=\"speakerModalLabel5155\" aria-hidden=\"true\">\n                <div class=\"modal-dialog modal-dialog-centered modal-lg\">\n                    <div class=\"modal-content\">\n                        <div class=\"modal-header bg-primary text-white\">\n                          <div>\n                            <h5 class=\"modal-title\" id=\"speakerModalLabel5155\">Siyum Shewakena Beshahwored<\/h5>\n                                                            <p class=\"speaker-country-modal mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">Ethiopia<\/p>\n                            \n                                                            <p class=\"text-muted mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">Ethiopian Police University<\/p>\n                            \n                          <\/div>\n                            \n                            <button type=\"button\" class=\"btn-close btn-close-white\" data-bs-dismiss=\"modal\" aria-label=\"Close\"><\/button>\n                        <\/div>\n                        <div class=\"modal-body p-4\">\n                            <div class=\"speaker-description\">\n                                <p><strong>Abstract: <\/strong>Carbon quantum dots (CQDs) in forensic investigations: a review of current<br \/>\napplications and future perspectives<\/p>\n<p>The advent of Carbon Quantum Dots (CQDs) has introduced transformative possibilities<br \/>\nin forensic science, addressing longstanding challenges in the detection, analysis, and<br \/>\npreservation of trace evidence. This review comprehensively examines CQDs,<br \/>\nhighlighting their synthesis methodologies, unique physicochemical properties, and<br \/>\ndiverse applications in forensic investigations. Emphasizing green, scalable, and cost<br \/>\neffective synthesis routes, the review explores CQDs' tunable fluorescence, exceptional<br \/>\noptical characteristics, and biocompatibility, which contribute to their superior<br \/>\nperformance in forensic contexts. Specifically, CQDs have shown significant promise in<br \/>\nareas such as crime scene analysis, fingerprint enhancement, drug identification, and<br \/>\ntoxicology, offering enhanced sensitivity, specificity, and precision in evidence detection.<br \/>\nDespite their potential, the integration of CQDs into forensic workflows faces hurdles<br \/>\nrelated to reproducibility, standardization, and regulatory compliance. Moreover, the<br \/>\nconvergence of CQDs with cutting-edge technologies like artificial intelligence and<br \/>\ncomputational simulations presents an exciting frontier for advancing forensic<br \/>\nmethodologies, minimizing human error, and ensuring high throughput and accuracy in<br \/>\ninvestigative processes. This review not only underscores the potential of CQDs to<br \/>\nrevolutionize forensic science but also identifies key challenges and proposes future<br \/>\ndirections for research, focusing on refining CQD-based applications and fostering<br \/>\nseamless integration into forensic protocols. In summary, CQDs represent a promising<br \/>\nand versatile toolset for the future of forensic investigations, driving significant<br \/>\nimprovements in analytical precision and efficiency.<\/p>\n                            <\/div>\n                        <\/div>\n                    <\/div>\n                <\/div>\n            <\/div>\n\n                    <div class=\"col-md-3 col-sm-12 mb-4\">\n                <div class=\"speaker-card text-center p-3 shadow-sm rounded\">\n                    <div class=\"speaker-img mb-3\">\n                        <img decoding=\"async\" src=\"https:\/\/innovatexconference.com\/biosensors\/wp-content\/uploads\/2026\/02\/Copy-of-3D-PRINTING-39-250x300.png\" class=\"img-fluid rounded-circle\" alt=\"Mansi Sharma\">\n                    <\/div>\n                    <h5 class=\"speaker-title mb-1\">Mansi Sharma<\/h5>\n                                            <p class=\"speaker-country text-muted mb-2\">India<\/p>\n                                        <button type=\"button\" class=\"btn btn-sm\" data-bs-toggle=\"modal\" data-bs-target=\"#speakerModal5222\">\n                        View Details\n                    <\/button>\n                <\/div>\n            <\/div>\n\n            <!-- Modal -->\n            <div class=\"modal fade\" id=\"speakerModal5222\" tabindex=\"-1\" aria-labelledby=\"speakerModalLabel5222\" aria-hidden=\"true\">\n                <div class=\"modal-dialog modal-dialog-centered modal-lg\">\n                    <div class=\"modal-content\">\n                        <div class=\"modal-header bg-primary text-white\">\n                          <div>\n                            <h5 class=\"modal-title\" id=\"speakerModalLabel5222\">Mansi Sharma<\/h5>\n                                                            <p class=\"speaker-country-modal mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">India<\/p>\n                            \n                                                            <p class=\"text-muted mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">Sharda University<\/p>\n                            \n                          <\/div>\n                            \n                            <button type=\"button\" class=\"btn-close btn-close-white\" data-bs-dismiss=\"modal\" aria-label=\"Close\"><\/button>\n                        <\/div>\n                        <div class=\"modal-body p-4\">\n                            <div class=\"speaker-description\">\n                                <p style=\"text-align: justify; line-height: 115%;\"><span lang=\"EN-IN\" style=\"font-family: 'Cambria',serif;\"><strong>Abstract:<\/strong><br \/>\nClimate-smart agriculture (CSA) emphasizes sustainable practices that enhance productivity, resilience, and environmental stewardship in the face of climate change. A critical enabler of CSA is the integration of advanced sensing technologies, particularly biosensors, which provide real-time, precise, and cost-effective monitoring of agricultural systems. Biosensors\u2014analytical devices that couple biological recognition elements with transducers\u2014offer unique advantages in detecting soil nutrients, water quality, plant health, and greenhouse gas emissions. Their application in agriculture enables farmers to optimize resource use, reduce input waste, and mitigate environmental impacts. For instance, soil nutrient biosensors can guide site-specific fertilizer application, while plant stress biosensors detect early physiological changes caused by drought, salinity, or pathogen attack, allowing timely interventions. Additionally, biosensors for methane and nitrous oxide monitoring contribute to quantifying and reducing agricultural emissions, aligning with global climate goals. Recent advances in nanotechnology, microfluidics, and wireless communication have further enhanced biosensor sensitivity, portability, and integration into digital farming platforms. When combined with data analytics and IoT-based decision support systems, biosensors create a feedback loop that empowers farmers with actionable insights, fostering resilience against climate variability. Despite challenges such as scalability, cost, and durability under field conditions, biosensors represent a transformative tool for achieving sustainable intensification and climate-smart outcomes. In conclusion, the biosensors play a pivotal role in bridging biological processes with precision agriculture, underscoring their potential to revolutionize monitoring, management, and sustainability in modern farming systems.<\/span><\/p>\n                            <\/div>\n                        <\/div>\n                    <\/div>\n                <\/div>\n            <\/div>\n\n                    <div class=\"col-md-3 col-sm-12 mb-4\">\n                <div class=\"speaker-card text-center p-3 shadow-sm rounded\">\n                    <div class=\"speaker-img mb-3\">\n                        <img decoding=\"async\" src=\"https:\/\/innovatexconference.com\/biosensors\/wp-content\/uploads\/2026\/03\/Copy-of-Copy-of-3D-PRINTING--250x300.png\" class=\"img-fluid rounded-circle\" alt=\"Savas Sumeyra\">\n                    <\/div>\n                    <h5 class=\"speaker-title mb-1\">Savas Sumeyra<\/h5>\n                                            <p class=\"speaker-country text-muted mb-2\">T\u00fcrkiye <\/p>\n                                        <button type=\"button\" class=\"btn btn-sm\" data-bs-toggle=\"modal\" data-bs-target=\"#speakerModal5240\">\n                        View Details\n                    <\/button>\n                <\/div>\n            <\/div>\n\n            <!-- Modal -->\n            <div class=\"modal fade\" id=\"speakerModal5240\" tabindex=\"-1\" aria-labelledby=\"speakerModalLabel5240\" aria-hidden=\"true\">\n                <div class=\"modal-dialog modal-dialog-centered modal-lg\">\n                    <div class=\"modal-content\">\n                        <div class=\"modal-header bg-primary text-white\">\n                          <div>\n                            <h5 class=\"modal-title\" id=\"speakerModalLabel5240\">Savas Sumeyra<\/h5>\n                                                            <p class=\"speaker-country-modal mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">T\u00fcrkiye <\/p>\n                            \n                                                            <p class=\"text-muted mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">Band\u0131rma  Onyedi Eyl\u00fcl University <\/p>\n                            \n                          <\/div>\n                            \n                            <button type=\"button\" class=\"btn-close btn-close-white\" data-bs-dismiss=\"modal\" aria-label=\"Close\"><\/button>\n                        <\/div>\n                        <div class=\"modal-body p-4\">\n                            <div class=\"speaker-description\">\n                                <p><strong>Abstract :\u00a0<\/strong><\/p>\n<p>Campylobacter jejuni can be easily transmitted through contaminated milk, leading to foodborne gastroenteritis. This study compares the sensitivity of a novel, label-free, turn-on DNA sensor designed for field applications with that of polymerase chain reaction (PCR) for detecting C. jejuni cells in milk. The fluorescence-based sensor was constructed using carboxylated carbon dots (CDs) conjugated with a single-stranded DNA (ssDNA) probe. When minimal hybridization with the target bacterial DNA, fluorescence intensity is restored, enabling sensitive and selective quantification. The sensor was optimized to achieve the lowest detection limit (LOD) by determining the DNA concentration required for C. jejuni detection. A comparative analysis with PCR confirmed that the sensor achieved an LOD of 18.1 \u00d7 10\u207b\u00b9\u00b9 mol L\u207b\u00b9 (14 CFU mL\u207b\u00b9), significantly surpassing the detection limit of the PCR method. Furthermore, a simplified, field-adapted DNA isolation protocol was developed and validated against commercial extraction kits, reducing processing time by 70% and costs by sevenfold. The sensor also demonstrated high specificity, with negligible cross-reactivity toward non target bacterial DNA. These findings underscore the potential of the developed sensor for real time, on-site pathogen detection, paving the way for enhanced food safety monitoring.<\/p>\n                            <\/div>\n                        <\/div>\n                    <\/div>\n                <\/div>\n            <\/div>\n\n                    <div class=\"col-md-3 col-sm-12 mb-4\">\n                <div class=\"speaker-card text-center p-3 shadow-sm rounded\">\n                    <div class=\"speaker-img mb-3\">\n                        <img decoding=\"async\" src=\"https:\/\/innovatexconference.com\/biosensors\/wp-content\/uploads\/2026\/04\/Copy-of-Copy-of-3D-PRINTING-2-250x300.png\" class=\"img-fluid rounded-circle\" alt=\"Rania Shibl\">\n                    <\/div>\n                    <h5 class=\"speaker-title mb-1\">Rania Shibl<\/h5>\n                                            <p class=\"speaker-country text-muted mb-2\">Australia<\/p>\n                                        <button type=\"button\" class=\"btn btn-sm\" data-bs-toggle=\"modal\" data-bs-target=\"#speakerModal5255\">\n                        View Details\n                    <\/button>\n                <\/div>\n            <\/div>\n\n            <!-- Modal -->\n            <div class=\"modal fade\" id=\"speakerModal5255\" tabindex=\"-1\" aria-labelledby=\"speakerModalLabel5255\" aria-hidden=\"true\">\n                <div class=\"modal-dialog modal-dialog-centered modal-lg\">\n                    <div class=\"modal-content\">\n                        <div class=\"modal-header bg-primary text-white\">\n                          <div>\n                            <h5 class=\"modal-title\" id=\"speakerModalLabel5255\">Rania Shibl<\/h5>\n                                                            <p class=\"speaker-country-modal mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">Australia<\/p>\n                            \n                                                            <p class=\"text-muted mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">University of Canberra<\/p>\n                            \n                          <\/div>\n                            \n                            <button type=\"button\" class=\"btn-close btn-close-white\" data-bs-dismiss=\"modal\" aria-label=\"Close\"><\/button>\n                        <\/div>\n                        <div class=\"modal-body p-4\">\n                            <div class=\"speaker-description\">\n                                <p>Background and Motivation:<\/p>\n<p>Monitoring the functional health of older adults living independently in the community presents a significant biosensing challenge. Conventional clinical assessment is episodic and retrospective, relying on scheduled visits to evaluate wellbeing. This limits the ability to detect subtle but clinically meaningful changes in mobility, sleep, and daily routine, the earliest behavioural biomarkers of functional decline. This gap is particularly acute in regional and rural settings, where workforce constraints and geographic dispersion further reduce care visibility. Compounding this challenge, older adults frequently under-report symptoms due to fear of losing independence, further reducing opportunities for early clinical detection. There is a compelling need for continuous, passive biosensing solutions that capture real-world health signals without increasing burden on users, caregivers, or overstretched care systems.<\/p>\n<p>Biosensing System Architecture:<\/p>\n<p>Homeara+ is a smart <strong>ambient<\/strong> biosensing platform deployed in the homes of community-dwelling older adults in regional Australia. The system integrates a wireless network of passive environmental sensors, including passive infrared (PIR) motion detectors, door contact sensors, and environmental monitors to continuously capture behavioural biomarkers of daily living. Unlike wearable biosensors, Homeara+ requires no active user engagement: the sensor array operates unobtrusively within the existing home environment, generating high-frequency longitudinal data streams that reflect real-world patterns of mobility, activity, and sleep. This design makes the system particularly suited to populations who may not tolerate or sustain engagement with body- worn sensing devices.<\/p>\n<p>Machine Learning and Behavioural Signal Analytics:<\/p>\n<p>Raw sensor data are processed through a machine learning pipeline designed to extract and analyse individual behavioural patterns over time. The analytical framework identifies personalised baseline behavioural signatures and detects statistically meaningful deviations that may indicate changes in functional health status. Rather than generating discrete real-time alerts, the system applies retrospective pattern recognition to characterise gradual shifts, such as changes in sleeponset timing, reduced kitchen activity, or altered mobility trajectories across the home. This approach aligns with emerging paradigms in AI-enabled, data-driven biosensing, where clinical value derives not from isolated point-of-care measurements but from longitudinal behavioural signal analytics applied at the individual level.<\/p>\n<p>Real-World Deployment and Implementation Findings:<\/p>\n<p>Supported by ARIIA funding, this study deployed Homeara+ across multiple regional Australian households in partnership with community aged care providers and academic collaborators from the University of the Sunshine Coast and the University of California Davis Betty Irene Moore School of Nursing. Findings from real-world deployment highlight multi-level contextual factors, spanning policy, funding, service delivery, workforce capacity, and individual digital literacy that shape the translation of ambient biosensing technology into routine care practice. In response, the project developed a suite of open-access educational resources to support informed engagement with the technology across older adults, family caregivers, clinicians, and service providers.<\/p>\n<p>Conclusion:<\/p>\n<p>Homeara+ demonstrates that smart ambient biosensing, combined with machine learning-driven behavioural analytics, offers a viable and scalable pathway to continuous, non-intrusive functional health monitoring for older adults. This work advances the application of next-generation biosensing technologies in healthcare and personalised medicine, with implications for AI-enabled care models in community settings globally. It further contributes a real-world implementation perspective to the growing body of evidence on how ambient biosensing systems can be meaningfully embedded within complex health and social care environments.<\/p>\n                            <\/div>\n                        <\/div>\n                    <\/div>\n                <\/div>\n            <\/div>\n\n                    <div class=\"col-md-3 col-sm-12 mb-4\">\n                <div class=\"speaker-card text-center p-3 shadow-sm rounded\">\n                    <div class=\"speaker-img mb-3\">\n                        <img decoding=\"async\" src=\"https:\/\/innovatexconference.com\/biosensors\/wp-content\/uploads\/2026\/02\/Copy-of-3D-PRINTING-22-250x300.png\" class=\"img-fluid rounded-circle\" alt=\"Gothier DAHEOU\">\n                    <\/div>\n                    <h5 class=\"speaker-title mb-1\">Gothier DAHEOU<\/h5>\n                                            <p class=\"speaker-country text-muted mb-2\">benin<\/p>\n                                        <button type=\"button\" class=\"btn btn-sm\" data-bs-toggle=\"modal\" data-bs-target=\"#speakerModal5348\">\n                        View Details\n                    <\/button>\n                <\/div>\n            <\/div>\n\n            <!-- Modal -->\n            <div class=\"modal fade\" id=\"speakerModal5348\" tabindex=\"-1\" aria-labelledby=\"speakerModalLabel5348\" aria-hidden=\"true\">\n                <div class=\"modal-dialog modal-dialog-centered modal-lg\">\n                    <div class=\"modal-content\">\n                        <div class=\"modal-header bg-primary text-white\">\n                          <div>\n                            <h5 class=\"modal-title\" id=\"speakerModalLabel5348\">Gothier DAHEOU<\/h5>\n                                                            <p class=\"speaker-country-modal mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">benin<\/p>\n                            \n                                                            <p class=\"text-muted mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">University of Abomey-Calavi<\/p>\n                            \n                          <\/div>\n                            \n                            <button type=\"button\" class=\"btn-close btn-close-white\" data-bs-dismiss=\"modal\" aria-label=\"Close\"><\/button>\n                        <\/div>\n                        <div class=\"modal-body p-4\">\n                            <div class=\"speaker-description\">\n                                <p><strong>Abstract : <\/strong>Which Medicine, for Which Pathology, for the Quality and Equity of Patients\u2019 Health in Africa?<\/p>\n<p>The use of neo-traditional remedies has experienced renewed interest in recent years due to a number of sociocultural, demographic, and historical factors. This practice remains highly prevalent in Cotonou (Benin) despite the availability of low-cost pharmaceutical medicines. It is within this context that the present study was conducted to examine the issue of reliance on neo-traditional remedies, focusing on the typology of actors involved and the diversity of underlying motivations and practices.<\/p>\n<p>The research employed qualitative investigation methods, including documentary research, field immersion, and semi-structured interviews. The study was carried out from May to December 2020. Testimonies were collected from 82 participants with diverse profiles, including healthcare providers, consumers of neo-traditional remedies, and institutional stakeholders.<\/p>\n<p>Today, neo-traditional remedies stand at the crossroads of multiple challenges concerning disease treatment modalities. In this regard, a transfer of sociocultural references can be observed through the practices of various actors. The findings enabled the mapping of practitioners of \u201ctraditional\u201d medicine and provided a better understanding of a variety of \u201cnew\u201d diseases within different disease categories, whose treatment relies on mechanisms of knowledge transmission. Furthermore, in Cotonou, there is a notable preservation and adaptation of cultural logics and practices among the actors involved.<\/p>\n<p><strong>\u00a0<\/strong><\/p>\n                            <\/div>\n                        <\/div>\n                    <\/div>\n                <\/div>\n            <\/div>\n\n                    <div class=\"col-md-3 col-sm-12 mb-4\">\n                <div class=\"speaker-card text-center p-3 shadow-sm rounded\">\n                    <div class=\"speaker-img mb-3\">\n                        <img decoding=\"async\" src=\"https:\/\/innovatexconference.com\/biosensors\/wp-content\/uploads\/2026\/07\/Jih-Huah-Wu-2-250x300.png\" class=\"img-fluid rounded-circle\" alt=\"Jih-Huah Wu\">\n                    <\/div>\n                    <h5 class=\"speaker-title mb-1\">Jih-Huah Wu<\/h5>\n                                            <p class=\"speaker-country text-muted mb-2\">Taiwan<\/p>\n                                        <button type=\"button\" class=\"btn btn-sm\" data-bs-toggle=\"modal\" data-bs-target=\"#speakerModal5349\">\n                        View Details\n                    <\/button>\n                <\/div>\n            <\/div>\n\n            <!-- Modal -->\n            <div class=\"modal fade\" id=\"speakerModal5349\" tabindex=\"-1\" aria-labelledby=\"speakerModalLabel5349\" aria-hidden=\"true\">\n                <div class=\"modal-dialog modal-dialog-centered modal-lg\">\n                    <div class=\"modal-content\">\n                        <div class=\"modal-header bg-primary text-white\">\n                          <div>\n                            <h5 class=\"modal-title\" id=\"speakerModalLabel5349\">Jih-Huah Wu<\/h5>\n                                                            <p class=\"speaker-country-modal mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">Taiwan<\/p>\n                            \n                                                            <p class=\"text-muted mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">Ming Chung University<\/p>\n                            \n                          <\/div>\n                            \n                            <button type=\"button\" class=\"btn-close btn-close-white\" data-bs-dismiss=\"modal\" aria-label=\"Close\"><\/button>\n                        <\/div>\n                        <div class=\"modal-body p-4\">\n                            <div class=\"speaker-description\">\n                                <p><strong>Abstract: <\/strong>Preliminary Evidence of Circadian Rhythms in the Twelve Meridians and Acupoints Verified with Optical Sensors.<\/p>\n<p>This study explored circadian variations in meridian-associated skin temperature using infrared thermal imaging (IRTI). During a 24-hour monitoring period, two-hour intervals corresponding to the predicted peak activity times of the twelve meridians, according to the Ziwu Liuzhu theory, were selected for detailed analysis. The results showed that jing-well acupoints exhibited an increase in temperature at the onset of their predicted active intervals, whereas terminal acupoints showed a decrease in temperature, suggesting the initiation and completion of meridian activity, respectively. Furthermore, a progressive increase followed by a decrease in temperature was observed along both the spleen meridian (9:00\u201311:00 a.m.) and the heart meridian (11:00 a.m.\u20131:00 p.m.), indicating temporal patterns that may be consistent with predictions from traditional Chinese medicine (TCM).In addition, we developed a measurement system integrating a 650-nm laser and four-quadrant photodiodes to investigate the optical properties of acupoints in biological tissues. The system was designed to provide a quantitative method for acupoint localization. Experimental results demonstrated that the reflected optical signal measured at the Daling (PC7) and Neiguan (PC6) acupoints was significantly lower than that measured in surrounding non-acupoint areas, indicating that acupoints possess distinct optical characteristics compared with normal skin.Taken together, these findings provide preliminary evidence supporting the existence of circadian rhythms in the twelve meridians and the distinct physical characteristics of acupoints. Further studies with larger sample sizes and more rigorous experimental designs are warranted to validate and expand upon these observations.Jih-Huah Wu received his Ph.D. degree in Optical Sciences from National Central University, Taiwan, in 2005. After serving as a postdoctoral fellow for one year in the Department of Power Mechanical Engineering at National Tsing Hua University, he joined Ming Chuan University as an Assistant Professor in the Department of Biomedical Engineering. He was promoted to Associate Professor in 2010 and to Full Professor in 2014.His research interests include laser acupuncture, photobiomodulation, light therapy, electro-optical system design, and the biomedical applications of semiconductor lasers.From August 2024 to December 2025, he served as Dean of the School of Health and Biomedical Engineering at Ming Chuan University. He is currently a Full Professor in the Semiconductor Applications Program at Ming Chuan University.<\/p>\n                            <\/div>\n                        <\/div>\n                    <\/div>\n                <\/div>\n            <\/div>\n\n                    <div class=\"col-md-3 col-sm-12 mb-4\">\n                <div class=\"speaker-card text-center p-3 shadow-sm rounded\">\n                    <div class=\"speaker-img mb-3\">\n                        <img decoding=\"async\" src=\"https:\/\/innovatexconference.com\/biosensors\/wp-content\/uploads\/2026\/07\/Elisabetta-Lombardi-250x300.png\" class=\"img-fluid rounded-circle\" alt=\"Elisabetta Lombardi\">\n                    <\/div>\n                    <h5 class=\"speaker-title mb-1\">Elisabetta Lombardi<\/h5>\n                                            <p class=\"speaker-country text-muted mb-2\">Italy<\/p>\n                                        <button type=\"button\" class=\"btn btn-sm\" data-bs-toggle=\"modal\" data-bs-target=\"#speakerModal5353\">\n                        View Details\n                    <\/button>\n                <\/div>\n            <\/div>\n\n            <!-- Modal -->\n            <div class=\"modal fade\" id=\"speakerModal5353\" tabindex=\"-1\" aria-labelledby=\"speakerModalLabel5353\" aria-hidden=\"true\">\n                <div class=\"modal-dialog modal-dialog-centered modal-lg\">\n                    <div class=\"modal-content\">\n                        <div class=\"modal-header bg-primary text-white\">\n                          <div>\n                            <h5 class=\"modal-title\" id=\"speakerModalLabel5353\">Elisabetta Lombardi<\/h5>\n                                                            <p class=\"speaker-country-modal mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">Italy<\/p>\n                            \n                                                            <p class=\"text-muted mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">Universit\u00e0 degli Studi di Padova<\/p>\n                            \n                          <\/div>\n                            \n                            <button type=\"button\" class=\"btn-close btn-close-white\" data-bs-dismiss=\"modal\" aria-label=\"Close\"><\/button>\n                        <\/div>\n                        <div class=\"modal-body p-4\">\n                            <div class=\"speaker-description\">\n                                <p><strong>Abstract: Smart Clot: A Flow-Aware Biosensor Enabling Simultaneous Quantification of Primary and Secondary Hemostasis<\/strong><\/p>\n<p>Hemostasis is a highly dynamic and tightly regulated process resulting from the coordinated interaction among platelets, coagulation factors, endothelial cells, and blood flow-derived shear forces. Despite the widespread use of point-of-care (POC) coagulation assays, currently available technologies are limited by the use of exogenous activators and inhibitors and by operating conditions that poorly reproduce the physiological environment. Moreover, most assays evaluate isolated components of coagulation under static or near-static conditions, limiting their ability to provide a comprehensive assessment of thrombus formation. These limitations have hindered the broader clinical adoption of POC hemostasis testing outside selected settings.Here, we describe the technical validation of <strong>Smart Clot<\/strong>, a fully automated microfluidic POC platform designed to provide an integrated evaluation of physiological hemostasis through real-time visualization and quantitative analysis of thrombus formation under controlled flow conditions. Recalcified citrated whole blood was perfused through a collagen type I-coated microchannel at an arterial wall shear rate of \u03b3\u02d9w = 300 s\u207b\u00b9 without the addition of exogenous activators or inhibitors. Under these conditions, platelet adhesion, activation, and aggregation to the collagen surface reproduce primary hemostasis, while endogenous thrombin generation promotes fibrin formation and thrombus stabilization, thereby recapitulating secondary hemostasis.Dual-channel epifluorescence microscopy enabled simultaneous acquisition of platelet and fibrin(ogen) signals at one frame per second. Time-dependent fluorescence signals were quantified by integrated density analysis and fitted using a five-parameter logistic model. First derivatives and their integrals generated standardized pseudo-volumes describing platelet accumulation, fibrin deposition, and overall thrombus growth. Reference intervals were established from 62 healthy volunteers, whereas the pharmacodynamic responsiveness of the assay was investigated in 113 patients receiving antithrombotic therapies. Platelet-derived parameters exhibited approximately normal distributions, whereas fibrin(ogen) and total thrombus measurements followed log-normal distributions.The biological relevance of the assay was further confirmed by selective inhibition studies. Antiplatelet agents produced graded reductions in platelet aggregation and fibrin formation, with indomethacin decreasing platelet aggregation by approximately 70% and fibrin(ogen) formation by 60%, while tirofiban almost completely abolished both processes. Likewise, anticoagulants induced marked inhibition, with heparin and lepirudin reducing platelet accumulation by 70\u201380% and fibrin formation by 80\u201390%, demonstrating the strong interdependence between primary and secondary hemostasis. Furthermore, blood samples collected during cardiopulmonary bypass revealed profound but transient impairment of platelet and fibrin activity. Across the entire measurement range, multiple statistical analyses demonstrated excellent analytical repeatability.Overall, Smart Clot provides rapid, reproducible, and flow-aware quantification of platelet-fibrin dynamics using unmodified whole blood, allowing the simultaneous evaluation of primary and secondary hemostasis within a single assay. By capturing physiological thrombus formation as well as pharmacological and perioperative alterations with high sensitivity, Smart Clot represents a promising next-generation biosensor platform for comprehensive hemostasis assessment and warrants further comparative studies with established coagulation POC technologies.<\/p>\n                            <\/div>\n                        <\/div>\n                    <\/div>\n                <\/div>\n            <\/div>\n\n                    <div class=\"col-md-3 col-sm-12 mb-4\">\n                <div class=\"speaker-card text-center p-3 shadow-sm rounded\">\n                    <div class=\"speaker-img mb-3\">\n                        <img decoding=\"async\" src=\"https:\/\/innovatexconference.com\/biosensors\/wp-content\/uploads\/2026\/01\/Aiml-2-250x300.png\" class=\"img-fluid rounded-circle\" alt=\"Ghulam MURTAZA\">\n                    <\/div>\n                    <h5 class=\"speaker-title mb-1\">Ghulam MURTAZA<\/h5>\n                                            <p class=\"speaker-country text-muted mb-2\">China<\/p>\n                                        <button type=\"button\" class=\"btn btn-sm\" data-bs-toggle=\"modal\" data-bs-target=\"#speakerModal5099\">\n                        View Details\n                    <\/button>\n                <\/div>\n            <\/div>\n\n            <!-- Modal -->\n            <div class=\"modal fade\" id=\"speakerModal5099\" tabindex=\"-1\" aria-labelledby=\"speakerModalLabel5099\" aria-hidden=\"true\">\n                <div class=\"modal-dialog modal-dialog-centered modal-lg\">\n                    <div class=\"modal-content\">\n                        <div class=\"modal-header bg-primary text-white\">\n                          <div>\n                            <h5 class=\"modal-title\" id=\"speakerModalLabel5099\">Ghulam MURTAZA<\/h5>\n                                                            <p class=\"speaker-country-modal mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">China<\/p>\n                            \n                                                            <p class=\"text-muted mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">Beijing Institute of Technology<\/p>\n                            \n                          <\/div>\n                            \n                            <button type=\"button\" class=\"btn-close btn-close-white\" data-bs-dismiss=\"modal\" aria-label=\"Close\"><\/button>\n                        <\/div>\n                        <div class=\"modal-body p-4\">\n                            <div class=\"speaker-description\">\n                                <p><strong>Abstract:<\/strong> Aptamer functionalized photonic crystal sensor for rapid detection of sars-coronavirus-2<\/p>\n<p>Murtaza is an innovative researcher specializing in point-of-care testing, such as bioinspired photonic<br \/>\ncrystal materials, aptamer-functionalized systems, and stimuli-responsive platforms for diagnostics,<br \/>\nbiotechnology, and disease profiling. He designs ssDNA aptamers targeting protein biomarkers derived<br \/>\nfrom human samples and from viruses, e.g., SARS-CoV-2 and HIV, while investigating their structural<br \/>\nmodulation. As a leader of multiple funded projects, he develops advanced optical point-of-care sensors<br \/>\nfor virus detection. His expertise extends to integrating smart-responsive polymers into sensing<br \/>\ntechnologies for environmental applications, such as detecting pathogens and heavy metal ions in<br \/>\nbiological and water samples. His work is featured in prestigious journals of ELSEVIER, ACS, RSC, and Wiley.<\/p>\n                            <\/div>\n                        <\/div>\n                    <\/div>\n                <\/div>\n            <\/div>\n\n                    <div class=\"col-md-3 col-sm-12 mb-4\">\n                <div class=\"speaker-card text-center p-3 shadow-sm rounded\">\n                    <div class=\"speaker-img mb-3\">\n                        <img decoding=\"async\" src=\"https:\/\/innovatexconference.com\/biosensors\/wp-content\/uploads\/2026\/07\/Maria-L.-Mota-250x300.png\" class=\"img-fluid rounded-circle\" alt=\"Mar\u00eda L. Mota\">\n                    <\/div>\n                    <h5 class=\"speaker-title mb-1\">Mar\u00eda L. Mota<\/h5>\n                                            <p class=\"speaker-country text-muted mb-2\">Mexico<\/p>\n                                        <button type=\"button\" class=\"btn btn-sm\" data-bs-toggle=\"modal\" data-bs-target=\"#speakerModal5355\">\n                        View Details\n                    <\/button>\n                <\/div>\n            <\/div>\n\n            <!-- Modal -->\n            <div class=\"modal fade\" id=\"speakerModal5355\" tabindex=\"-1\" aria-labelledby=\"speakerModalLabel5355\" aria-hidden=\"true\">\n                <div class=\"modal-dialog modal-dialog-centered modal-lg\">\n                    <div class=\"modal-content\">\n                        <div class=\"modal-header bg-primary text-white\">\n                          <div>\n                            <h5 class=\"modal-title\" id=\"speakerModalLabel5355\">Mar\u00eda L. Mota<\/h5>\n                                                            <p class=\"speaker-country-modal mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">Mexico<\/p>\n                            \n                                                            <p class=\"text-muted mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">Secretar\u00eda de Ciencia, Humanidades, Tecnolog\u00eda e Innovaci\u00f3n<\/p>\n                            \n                          <\/div>\n                            \n                            <button type=\"button\" class=\"btn-close btn-close-white\" data-bs-dismiss=\"modal\" aria-label=\"Close\"><\/button>\n                        <\/div>\n                        <div class=\"modal-body p-4\">\n                            <div class=\"speaker-description\">\n                                <p><strong>Abstract :<br \/>\n<\/strong><br \/>\nDr. Mar\u00eda L. Mota holds a Bachelor\u2019s degree in Chemical Sciences with a specialization in Organic Chemistry from the Facultad de Ciencias Qu\u00edmicas in Saltillo, Coahuila. She completed her Master\u2019s degree in the Graduate Program in Materials Science and Technology, where her research focused on the recycling of tire rubber through catalytic pyrolysis using national zeolites.She obtained her Ph.D. in Materials Science and Technology at the Facultad de Ciencias Qu\u00edmicas in collaboration with the Centro de Investigaci\u00f3n en Qu\u00edmica Aplicada (CIQA), in the area of advanced materials. Her doctoral research involved the synthesis of cyano-modified oligoparaphenylenes and the study of their liquid crystal and luminescent properties.Dr. Mota was commissioned by the CONACYT Chairs Program to Project 1440 entitled <em>\u201cDevelopment of Flexible OLEDs Based on Thin Films of Semiconductor Oligophenylenes (calamitic rod) with Liquid Crystal Properties,\u201d<\/em> from 2014 to 2024. Currently, through the Researchers for Mexico Program of the Secretar\u00eda de Ciencia, Humanidades, Tecnolog\u00eda e Innovaci\u00f3n (SECIHTI), she has been commissioned to Project 7040 at InnovaBienestar de M\u00e9xico, where her research focuses on organic, inorganic, and hybrid semiconductors.Her research focuses on the synthesis and study of organic, inorganic, and hybrid semiconductors developed through soft chemistry, with applications in flexible electronics, optical sensors, organic solar cells, and OLED devices. She is a member of the Semiconductor Electronics Research Group and is responsible for both the Semiconductor Laboratory and the Biomaterials Laboratory.<\/p>\n                            <\/div>\n                        <\/div>\n                    <\/div>\n                <\/div>\n            <\/div>\n\n                    <div class=\"col-md-3 col-sm-12 mb-4\">\n                <div class=\"speaker-card text-center p-3 shadow-sm rounded\">\n                    <div class=\"speaker-img mb-3\">\n                        <img decoding=\"async\" src=\"https:\/\/innovatexconference.com\/biosensors\/wp-content\/uploads\/2026\/07\/Tony-Cass-250x300.png\" class=\"img-fluid rounded-circle\" alt=\"Tony Cass\">\n                    <\/div>\n                    <h5 class=\"speaker-title mb-1\">Tony Cass<\/h5>\n                                            <p class=\"speaker-country text-muted mb-2\">UK<\/p>\n                                        <button type=\"button\" class=\"btn btn-sm\" data-bs-toggle=\"modal\" data-bs-target=\"#speakerModal5357\">\n                        View Details\n                    <\/button>\n                <\/div>\n            <\/div>\n\n            <!-- Modal -->\n            <div class=\"modal fade\" id=\"speakerModal5357\" tabindex=\"-1\" aria-labelledby=\"speakerModalLabel5357\" aria-hidden=\"true\">\n                <div class=\"modal-dialog modal-dialog-centered modal-lg\">\n                    <div class=\"modal-content\">\n                        <div class=\"modal-header bg-primary text-white\">\n                          <div>\n                            <h5 class=\"modal-title\" id=\"speakerModalLabel5357\">Tony Cass<\/h5>\n                                                            <p class=\"speaker-country-modal mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">UK<\/p>\n                            \n                                                            <p class=\"text-muted mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">Department of Chemistry and The Centre for Antimicrobial Optimisation Imperial College London<\/p>\n                            \n                          <\/div>\n                            \n                            <button type=\"button\" class=\"btn-close btn-close-white\" data-bs-dismiss=\"modal\" aria-label=\"Close\"><\/button>\n                        <\/div>\n                        <div class=\"modal-body p-4\">\n                            <div class=\"speaker-description\">\n                                <p><strong>Abstract:<br \/>\n<\/strong><br \/>\nAntimicrobial resistance (AMR) threatens to undo the past 100 years of progress in combatting microbial infections. Globally the number of deaths <strong>directly<\/strong> attributable to AMR is estimated by WHO to have been be 1.27 million with a further 4.95 million deaths where AMR was a contributing factor (2019 figures). This situation is exacerbated by poverty and inequality,There are varied and complex drivers of AMR but broadly their overuse and misuse being primary causes. Whilst the discovery of new antibiotics will play an important role in adding to the armoury of antimicrobials, better use of current molecules is essential in containing the spread of AMR. Within this stewardship approach, decentralised diagnostics is a major tool.In this presentation I will illustrate how decentralised diagnostics can be used to ensure that antibacterials are used for the right purpose and in the right quantities to maximize their effectiveness whilst minimising both the likelihood of AMR and the adverse effects on patients.<\/p>\n                            <\/div>\n                        <\/div>\n                    <\/div>\n                <\/div>\n            <\/div>\n\n                    <div class=\"col-md-3 col-sm-12 mb-4\">\n                <div class=\"speaker-card text-center p-3 shadow-sm rounded\">\n                    <div class=\"speaker-img mb-3\">\n                        <img decoding=\"async\" src=\"https:\/\/innovatexconference.com\/biosensors\/wp-content\/uploads\/2026\/01\/Copy-of-3D-PRINTING--250x300.png\" class=\"img-fluid rounded-circle\" alt=\"M. Durga Prakash\">\n                    <\/div>\n                    <h5 class=\"speaker-title mb-1\">M. Durga Prakash<\/h5>\n                                            <p class=\"speaker-country text-muted mb-2\">India<\/p>\n                                        <button type=\"button\" class=\"btn btn-sm\" data-bs-toggle=\"modal\" data-bs-target=\"#speakerModal5106\">\n                        View Details\n                    <\/button>\n                <\/div>\n            <\/div>\n\n            <!-- Modal -->\n            <div class=\"modal fade\" id=\"speakerModal5106\" tabindex=\"-1\" aria-labelledby=\"speakerModalLabel5106\" aria-hidden=\"true\">\n                <div class=\"modal-dialog modal-dialog-centered modal-lg\">\n                    <div class=\"modal-content\">\n                        <div class=\"modal-header bg-primary text-white\">\n                          <div>\n                            <h5 class=\"modal-title\" id=\"speakerModalLabel5106\">M. Durga Prakash<\/h5>\n                                                            <p class=\"speaker-country-modal mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">India<\/p>\n                            \n                                                            <p class=\"text-muted mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">SRM University<\/p>\n                            \n                          <\/div>\n                            \n                            <button type=\"button\" class=\"btn-close btn-close-white\" data-bs-dismiss=\"modal\" aria-label=\"Close\"><\/button>\n                        <\/div>\n                        <div class=\"modal-body p-4\">\n                            <div class=\"speaker-description\">\n                                <p><strong>Abstract: <\/strong><strong>A New Paradigm for Assessing Strain Reliability in Flexible Organic Electronics<\/strong><\/p>\n<p>Flexible and wearable electronics demand transistor technologies that can sustain stable performance under extreme mechanical deformation. In this work, propose a quantitative benchmarking framework for strain resilience in organic thin-film transistors (OTFTs), introducing three normalized metrics: the Degradation Factor (DF), quantifying drain-current loss under strain; the Mobility Factor (MF), representing the rate of charge-transport degradation per unit strain; and the Strain-Stability Window (SSW), defining the maximum strain range within which devices remain in the safe operating zone (DF &lt; 15%) . Using Silvaco Victory TCAD, systematically investigate the strain-dependent behaviour of single-dielectric (Al<sub>2<\/sub>O<sub>3<\/sub>) and hybrid-dielectric (Al<sub>2<\/sub>O<sub>3<\/sub>\/PVP) OTFTs under both compressive (concave) and tensile (convex) bending with radii from 8 \u00b5m to 1 \u00b5m. Results show that hybrid dielectric OTFTs exhibit superior strain tolerance, with a degradation factor of only 9% under 9.85% tensile strain, compared to 25% for single-dielectric devices. Furthermore, hybrid devices show a markedly lower mobility factor ( -3 %\/strain compressive, -1.9 %\/strain tensile) compared with single-dielectric OTFTs (-6 %\/strain compressive, -5 %\/strain tensile). Beyond confirming the mechanical advantages of hybrid dielectrics, This work study demonstrates that strain-stability quantifiers provide a universal method to benchmark flexible OTFT reliability, bridging device physics with practical requirements of wearable bioelectronics. These findings establish hybrid Al<sub>2<\/sub>O<sub>3<\/sub>\/PVP dielectrics not only as performance enhancers but also as reliable design enablers for next-generation strain-resilient organic electronics.<\/p>\n                            <\/div>\n                        <\/div>\n                    <\/div>\n                <\/div>\n            <\/div>\n\n                    <div class=\"col-md-3 col-sm-12 mb-4\">\n                <div class=\"speaker-card text-center p-3 shadow-sm rounded\">\n                    <div class=\"speaker-img mb-3\">\n                        <img decoding=\"async\" src=\"https:\/\/innovatexconference.com\/biosensors\/wp-content\/uploads\/2026\/01\/Copy-of-3D-PRINTING-1-250x300.png\" class=\"img-fluid rounded-circle\" alt=\"Dharitri Rath\">\n                    <\/div>\n                    <h5 class=\"speaker-title mb-1\">Dharitri Rath<\/h5>\n                                            <p class=\"speaker-country text-muted mb-2\">India<\/p>\n                                        <button type=\"button\" class=\"btn btn-sm\" data-bs-toggle=\"modal\" data-bs-target=\"#speakerModal5108\">\n                        View Details\n                    <\/button>\n                <\/div>\n            <\/div>\n\n            <!-- Modal -->\n            <div class=\"modal fade\" id=\"speakerModal5108\" tabindex=\"-1\" aria-labelledby=\"speakerModalLabel5108\" aria-hidden=\"true\">\n                <div class=\"modal-dialog modal-dialog-centered modal-lg\">\n                    <div class=\"modal-content\">\n                        <div class=\"modal-header bg-primary text-white\">\n                          <div>\n                            <h5 class=\"modal-title\" id=\"speakerModalLabel5108\">Dharitri Rath<\/h5>\n                                                            <p class=\"speaker-country-modal mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">India<\/p>\n                            \n                                                            <p class=\"text-muted mb-2\" style=\"color:#fff!important;font-size:17px;font-weight:600;\">Indian Institute of Technology<\/p>\n                            \n                          <\/div>\n                            \n                            <button type=\"button\" class=\"btn-close btn-close-white\" data-bs-dismiss=\"modal\" aria-label=\"Close\"><\/button>\n                        <\/div>\n                        <div class=\"modal-body p-4\">\n                            <div class=\"speaker-description\">\n                                <p><strong>Abstract<\/strong>: <strong>Deep Learning-assisted Quantification of Optical Signals from Paper Immunoassays.<br \/>\n<\/strong><br \/>\nPaper-based immunoassays are widely used point-of-care diagnostic tools for the detection of specific biomarkers. Such paper-immunoassays typically provide only a qualitative YES\/NO visual result, indicated by the presence or absence of colored test and control lines formed by optical signals such as colorimetric changes on a paper strip. These simple readouts are fast and user-friendly but often lack quantitative analysis. Detection using external reader, or attachments in the smartphones are proposed that can capture and analyse the optical signals. However, the major drawbacks of existing smartphone solutions are brand-specific or assay-specific, requiring specific apps or hardware for different test types. Thus, the quantification system that can accurately identify and quantify multiple brands and types of paper-based immunoassays without needing external hardware remains a challenge.<\/p>\n<p>Addressing this limitation, this work also introduced a generic, smartphone-compatible algorithm driven by convolutional neural networks (CNNs) for quantitative interpretation of colorimetry signals from the paper devices across (i) different brands; (ii) different assays, and (iii) compatible with environmental conditions, as well as device orientations. Validation involved diverse commercial kits such as pregnancy kits and ovulation kits, imaged using different brands of smartphone. The framework developed provides an end-to-end solution that extracts image features, maps the intensity values to sample concentrations, generating calibration curves for accurate analyte quantification. Further, our framework was tested on in-house designed competitive immunoassays for vitamin D<sub>3<\/sub> detection and quantification. This work highlights advancements biosensors designs with digital innovation for AI-powered smartphone diagnostics, overcoming traditional limitations of rapid diagnostic tests.<\/p>\n                            <\/div>\n                        <\/div>\n                    <\/div>\n                <\/div>\n            <\/div>\n\n                <\/div>\n    <\/div>\n    <\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Speakers Speakers<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-564","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Speakers - 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