Jayesh Soni

Country: United States

Education: PhD or Doctorate

Affiliation: Florida International University

Domain of Research: Machine Vision,Intelligent Systems,Artificial Intelligence,Artificial Intelligence,Artificial Neural Networks,Computational Intelligence,Computer Vision,Cyber Security,Data Science,Human Computer Interaction,Image Processing,Image Processing and Analysis,Intelligent Systems,Intrusion Detection,Knowledge Engineering and Mining,Machine Learning,Machine Vision,Natural Language Processing,Network Security,Neural Networks,Quantum Computing,Supervised and Unsupervised Learning,Support Vector Machines

Biography: Dr. Jayesh Soni is a Postdoctoral Associate at the Applied Research Center (ARC) of Florida International University. He received his Ph.D. degree in Computer Science from Florida International University in 2022. His M.Tech. and B.E. degrees are in Computer Science and Computer Engineering respectively. His research is in the area of Applied AI modeling and development in interdisciplinary domain. His passion for this field stems from his belief that AI has the potential to revolutionize various industries and improve the quality of life for people all over the world. His PhD thesis focused on developing novel deep learning methods for anomaly detection in sequential data. This work resulted in several publications in leading conferences and journals. In addition to developing AI models for cybersecurity, he also has a keen interest in exploring other interdisciplinary domains where AI can be applied to solve complex problems. This includes areas such as natural language processing, image and video analysis, and data privacy. By working at the intersection of AI and other fields, he aims to make meaningful contributions to both the AI and interdisciplinary communities. His article in SEDE conference was selected as the best paper. Currently, at ARC, he is involved in the DoD-TRMC research project on artificial intelligence (AI) for Cybersecurity.