# Aashi Singh Bhadouria - Assistant Professor (Computer Science & Engineering) & AI/ML Researcher Source: https://hello.cv/aashibhadouria Gwalior ## About Highly accomplished Assistant Professor and researcher specializing in Artificial Intelligence, Machine Learning, and Image Processing, with a strong focus on applying these technologies to healthcare and financial analysis. Driven by a passion for advancing knowledge and developing innovative solutions, demonstrated through 13 peer-reviewed publications and active academic contributions. Eager to leverage expertise in predictive modeling and data analysis to solve complex challenges in research or industry settings. ## Work ### Assistant Professor (CSE & IT) | Madhav Institute of Technology and Science Led academic instruction and advanced research initiatives within the Computer Science and Information Technology departments, contributing to curriculum development and scholarly output. - Published 13 peer-reviewed works, including 7 journal articles and 6 book chapters, demonstrating significant contributions to AI, Machine Learning, and Image Processing research. - Developed and applied predictive machine learning models for critical healthcare outcomes, including hospital length of stay and mortality rates, enhancing clinical decision support systems. - Conducted extensive research in image processing techniques, developing effective frameworks for underwater image enhancement and disease localization in X-ray images (e.g., osteoporosis). - Authored multiple systematic reviews and exploratory studies on emerging technologies, such as smart home architectures for elderly care and IoT applications in modern healthcare. - Contributed to cutting-edge AI applications, including financial sentiment analysis using BERT models and AI-enhanced diet management systems for diabetes patients. ## Publications ### Future Trends and Emerging Sustainable Technologies in Biomedical Field CRC Press (implied by DOI) | https://doi.org/10.1201/9781003557715-20 Co-authored a book chapter exploring future trends and sustainable technologies within the biomedical field, contributing to advancements in healthcare technology. ### Analyzing Financial Sentiments Using BERT Model IGI Global | https://doi.org/10.4018/979-8-3693-8507-4.ch012 Authored a book chapter on leveraging the BERT model for advanced financial sentiment analysis, featured in 'Utilizing AI and Machine Learning in Financial Analysis'. ### Predictive Model Approach for Enhancing Diet Management for Diabetes Patients Through Artificial Intelligence IGI Global | https://doi.org/10.4018/979-8-3693-8990-4.ch015 Authored a book chapter detailing an AI-driven predictive model approach to enhance diet management for diabetes patients, published in 'Intelligent Systems and IoT Applications in Clinical Health'. ### Interrogating Predictive Models to Augment Student Mental Well-Being Through Machine Learning: An In-Depth Exploratory Expedition Springer (implied by DOI) | https://doi.org/10.1007/978-981-97-0327-2_47 Contributed to a book chapter exploring the use of machine learning predictive models to enhance student mental well-being through an in-depth exploratory expedition. ### Diabetes Insipidus: Diagnosis, Pathogenesis, and Management International Journal for Research in Applied Science and Engineering Technology | https://doi.org/10.22214/ijraset.2023.54580 Co-authored a journal article providing a comprehensive overview of Diabetes Insipidus, covering its diagnosis, pathogenesis, and management strategies. ### A Systematic Review Paper on : Need of Smart Home Architecture for Old People International Journal for Research in Applied Science and Engineering Technology | https://doi.org/10.22214/ijraset.2023.54544 Co-authored a systematic review paper analyzing the necessity and design considerations for smart home architectures tailored for elderly individuals. ### Fruit Grading System for Feature Extraction and Quality Evaluation by Image Processing Technique International Journal for Research in Applied Science and Engineering Technology | https://doi.org/10.22214/ijraset.2023.54511 Developed a fruit grading system utilizing image processing techniques for efficient feature extraction and quality evaluation. ### Localization of Disease Osteoporosis in X-ray Images International Journal for Research in Applied Science and Engineering Technology | https://doi.org/10.22214/ijraset.2023.54542 Co-authored a journal article focusing on the localization of osteoporosis disease within X-ray images using advanced image processing methods. ### The Effects of IoT after COVID-19 on the Modern Healthcare Industry International Journal for Research in Applied Science and Engineering Technology | https://doi.org/10.22214/ijraset.2023.54546 Co-authored a journal article examining the transformative effects of IoT technologies on the modern healthcare industry in the post-COVID-19 era. ### Machine learning model for healthcare investments predicting the length of stay in a hospital & mortality rate Multimedia Tools and Applications (Springer) | https://doi.org/10.1007/s11042-023-16474-8 Developed a machine learning model to predict hospital length of stay and mortality rates, offering valuable insights for healthcare investment strategies. ### Non-Uniform Illumination and Low Light Image Enhancement Techniques: An Exhaustive Study International Journal for Research in Applied Science and Engineering Technology | https://doi.org/10.22214/ijraset.2022.40385 Authored an exhaustive study on various techniques for enhancing images affected by non-uniform illumination and low light conditions. ### Underwater Image Enhancement Techniques: An Exhaustive Study International Journal for Research in Applied Science and Engineering Technology | https://doi.org/10.22214/ijraset.2022.40388 Authored an exhaustive study comprehensively reviewing different techniques for enhancing the quality of underwater images. ### Effective framework for underwater image enhancement using multi-fusion technique IEEE | https://doi.org/10.1109/CSNT48778.2020.9115777 Presented a conference paper detailing an effective multi-fusion technique for enhancing underwater images, published in the IEEE CSNT 2020 proceedings. ## Skills ### Artificial Intelligence - Machine Learning - Predictive Modeling - BERT Model - Deep Learning - AI Applications ### Image Processing - Image Enhancement - Feature Extraction - Quality Evaluation - Medical Image Analysis - Underwater Imaging - Low Light Imaging - Computer Vision ### Data Analysis & Research - Financial Sentiment Analysis - Healthcare Data Analysis - Systematic Review - Exploratory Data Analysis - Academic Publishing - Technical Writing ### Emerging Technologies - Internet of Things (IoT) - Biomedical Technology - Smart Home Architectures - Sustainable Technologies ### Academic & Teaching - Curriculum Development - Higher Education - Mentorship - Lecturing ## Source Read this profile on Hello.cv: https://hello.cv/aashibhadouria Create your free profile at https://hello.cv