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
CRC Press (implied by DOI)
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
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
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)
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
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
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
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
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
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)
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
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
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
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.