Aashi Singh Bhadouria

Assistant Professor (Computer Science & Engineering) & AI/ML Researcher
Gwalior, IN.

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

Madhav Institute of Technology and Science
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Assistant Professor (CSE & IT)

Gwalior, Madhya Pradesh, India

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Summary

Led academic instruction and advanced research initiatives within the Computer Science and Information Technology departments, contributing to curriculum development and scholarly output.

Highlights

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

Published by

CRC Press (implied by DOI)

Summary

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

Published by

IGI Global

Summary

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

Published by

IGI Global

Summary

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

Published by

Springer (implied by DOI)

Summary

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

Published by

International Journal for Research in Applied Science and Engineering Technology

Summary

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

Published by

International Journal for Research in Applied Science and Engineering Technology

Summary

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

Published by

International Journal for Research in Applied Science and Engineering Technology

Summary

Developed a fruit grading system utilizing image processing techniques for efficient feature extraction and quality evaluation.

Localization of Disease Osteoporosis in X-ray Images

Published by

International Journal for Research in Applied Science and Engineering Technology

Summary

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

Published by

International Journal for Research in Applied Science and Engineering Technology

Summary

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

Published by

Multimedia Tools and Applications (Springer)

Summary

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

Published by

International Journal for Research in Applied Science and Engineering Technology

Summary

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

Published by

International Journal for Research in Applied Science and Engineering Technology

Summary

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

Published by

IEEE

Summary

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.