Career Overview

Research-oriented academic professional with a focus on machine learning, artificial intelligence, and data science. He has extensive experience in teaching and research, supported by numerous publications, conference presentations, and active involvement in professional development.

Academic Background
B.E. in Information Science Engineering, an M.Tech in Computer Science Engineering, and is pursuing a Ph.D. in Machine Learning/Artificial Intelligence at Garden City University, with his thesis submitted. 

Academic credentials are complemented by technical expertise in Python, C, and C++, along with cloud services like AWS, Microsoft Azure, and Google Cloud.

Research and Publications
Published extensively in SCOPUS and Web of Science-indexed journals and presented at Springer and IEEE international conferences. Notable works include a hybrid approach for recommender systems, predictive modeling for diseases, and the role of AI in cybersecurity. And also published in UGC-approved journals on topics ranging from AI applications in healthcare to Python scripting language.

Patents and Roles
Filed three patents, including one on quantum task optimization for cloud computing and another on IoT-based detection systems. involvement in academia extends to roles such as class teacher, internship coordinator, department newsletter editor, and contributions to accreditation processes (NBA and NAAC). And also a recognized reviewer for Elsevier journals.

Workshops and Resource Roles
He has participated in workshops on big data analytics, intellectual property rights, and machine learning. I also served as a resource person at various institutions, delivering sessions on blockchain technologies, AI in healthcare, data science, and IoT.

Professional Experience
Teaching and research positions at esteemed institutions like the National Institute of Technology, Surathkal, and New Horizon College of Engineering, where he currently works as an Assistant Professor. His professional journey spans over six years, during which I taught courses such as fundamentals of data science, machine learning, Python programming, and cloud computing.

Events and Interests

Has organized several events, including industry expert talks, guest lectures, and industrial visits. interests lie in reading technology magazines, Quora, and foreign theses, which reflect his commitment to staying updated in his field.

Personal Information
Geluvaraj is multilingual and fluent in Kannada, English, Hindi, Telugu, and Tamil. He resides in Bangalore with his family and is passionate about contributing to research and education.