Presenter
Biography
As a seasoned .NET full-stack professional, I possess extensive experience in various programming languages, databases, and front-end technologies. My expertise spans C#, VB, JScript, Python, Java, some C/C++/CUDA, PHP, MATLAB, JavaScript, and TypeScript, and I am proficient in CSS and JavaScript frameworks such as React.js, Node.js, Express, and Angular. I am also well-versed in handling various databases, including MySQL, PostgreSQL, Oracle, MSSQL, and MongoDB, among others.
As a full-time faculty member at Kean University, I teach undergraduate and graduate students Java (3-course sequence), Python, C#, Web design, Software Development with Frameworks, and Web programming courses. This role allows me to share my passion for programming and inspire the next generation of tech enthusiasts.
Beyond my teaching commitments, I am actively engaged in groundbreaking research in Artificial Intelligence. My research interests encompass Natural Language Processing, Computer Vision, Transformer Neural Networks, and more recently - Multimodal Machine Learning. Since 2023, I have been concentrating on Large Language Models (LLMs), thereby contributing to advancing this rapidly evolving domain. To further deepen my AI expertise, I joined the Ph.D. program at Rutgers University in Electrical and Computer Engineering with a specialization in Machine Learning.
In addition to my technical skills and academic pursuits, I am keenly interested in the emerging no-code and low-code development fields. I believe these platforms have the potential to democratize software development and AI, and I am excited to explore their capabilities and applications in my future projects.
As a full-time faculty member at Kean University, I teach undergraduate and graduate students Java (3-course sequence), Python, C#, Web design, Software Development with Frameworks, and Web programming courses. This role allows me to share my passion for programming and inspire the next generation of tech enthusiasts.
Beyond my teaching commitments, I am actively engaged in groundbreaking research in Artificial Intelligence. My research interests encompass Natural Language Processing, Computer Vision, Transformer Neural Networks, and more recently - Multimodal Machine Learning. Since 2023, I have been concentrating on Large Language Models (LLMs), thereby contributing to advancing this rapidly evolving domain. To further deepen my AI expertise, I joined the Ph.D. program at Rutgers University in Electrical and Computer Engineering with a specialization in Machine Learning.
In addition to my technical skills and academic pursuits, I am keenly interested in the emerging no-code and low-code development fields. I believe these platforms have the potential to democratize software development and AI, and I am excited to explore their capabilities and applications in my future projects.
Presentations
Research and ACM SRC Posters
Research & ACM SRC Posters
TP