Estimating Seismicity to Predict an Impending Earthquake Using the Neuro Fuzzy Expert System

Doctoral Thesis / Dissertation from the year 2022 in the subject Geography / Earth Science - Physical Geography, Geomorphology, Environmental Studies, , language: English, abstract: This thesis proposes the use of a Neuro Fuzzy Expert System (NFES) for the estimation of earthquake seismicity and prediction of impending earthquakes. The study uses earthquake data collected from seismic monitoring stations in a specific region and applies NFES to analyze the data and predict the likelihood of future earthquakes. This thesis focuses on the analysis of earthquake data to gain insights into the patterns and characteristics of seismic activity. The study utilizes a dataset of earthquake records collected from various seismic monitoring stations around the world. The data is processed and analyzed using statistical and machine learning techniques to identify trends, patterns, and relationships in the seismic activity.

Post Doc and Ph.D. in Artificial Intelligence. I have a profound understanding of cutting-edge technologies such as AI/ML, Data Science, NLP, Generative and Responsive AI, AGI, Neural Networks, Neuro-Fuzzy Expert System, and Quantum Computing. I have had the privilege of guiding and supervising of 75+ postgraduate students in various programs. My research endeavours have yielded over 56+ published research papers, all of which have been recognized in international and national journals with indexing in prestigious databases like Scopus, SCI, Web of Sciences, UGC CARE, and others. In addition, my contributions to the field of innovation include securing three Indian patents. I am a seasoned computer programmer with extensive experience in handling AI projects. Over the years, I have honed my skills in designing, developing, and implementing various AI solutions. My journey in the realm of programming began with a passion for solving complex problems through code.I delved into traditional programming languages, mastering the fundamentals of logic and algorithm design. As technology evolved, so did my expertise. The advent of AI captured my interest, prompting me to explore the possibilities it offered for transforming how we approach problem-solving in the digital age. I have hands-on experience with a range of AI technologies, including machine learning, natural language processing, and computer vision. My proficiency extends to frameworks like TensorFlow and PyTorch, enabling me to build robust and efficient models. Collaboration has been a cornerstone of my career. I've had the privilege of working with diverse teams, contributing my programming expertise to interdisciplinary projects. This collaborative approach has not only enhanced my technical skills but also enriched my understanding of how AI intersects with various domains, from pharmaceutical science to cognitive radio network. In the fast-paced world of technology, staying updated is crucial. Continuous learning is not just a professional obligation but a personal commitment to ensuring that my skills remain cutting-edge. As a forward-thinking programmer, I recognize the ethical considerations surrounding AI. Striking a balance between innovation and responsibility is paramount. I advocate for ethical AI practices, ensuring that the solutions I contribute to are not only technically sound but also align with ethical standards.