{"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-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\">\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-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-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\">\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\">\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-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-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\/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\/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 v26.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Speakers - Innovatex Conference<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/innovatexconference.com\/biosensors\/speakers\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Speakers - 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