E. Sakthivel

Sakthivel E currently holds the position of Assistant Professor in the School of Computer Science and Engineering at Presidency University in Bengaluru, boasting an impressive 16 years of comprehensive professional experience. His rich teaching background encompasses several esteemed engineering institutions, including Sri Venkateswara College of Engineering, Chennai; Nehru Institute of Engineering and Technology, Coimbatore; and PRIST University, Tanjavur. Beyond his academic endeavors, Mr. Sakthivel has accumulated valuable industry expertise, having served as a Senior Software Developer at NATELSOFT, Chennai, and as a Lead Engineer in Development at FIS Global Business India Pvt. Ltd., Chennai. Presently, he is actively involved in providing technical support for software development and delivering technical training at CERP Software Solutions Pvt. Ltd., Bengaluru—a prominent End-to-End Academic Software Solution provider. Mr. Sakthivel earned his Bachelor's degree (B.Tech) in Information Technology from SCAD College of Engineering and Technology (Anna University, Chennai) and his Master's degree (M.E) in Computer and Engineering from Thiruvalluvar College of Engineering and Technology (Anna University, Chennai). His research focus centers on Network Security, AI, and ML. Acknowledged as a subject matter expert, Mr. Sakthivel specializes in various subjects, including C Programming, JAVA Programming, Networks, and Web Programming. Actively engaged in knowledge dissemination, he serves as a resource person, conducting technical sessions to provide training to industry professionals from various companies, as well as students and faculty across diverse colleges. His professional certifications include recognition as an Infosys certified trainer, Wipro Mission 10x certified Professional, Oracle Certified Professional, and Cisco Certified Network Instructor (Level 1 to Level 4). Demonstrating his commitment to professional development, he holds lifetime memberships with the ISTE.

Publications

Machine Learning for Geospatial Analysis: Enhancing Spatial Understanding and Decision-Making
Machine Learning for Geospatial Analysis: Enhancing Spatial Understanding and Decision-Making
Robin Rohit Vincent, E. Sakthivel, Meena Kumari, F. Nisha, A. Rohini. © 2024. 28 pages.
Historically, statistical techniques have been a major component of geographic analysis, which is the study of geographical phenomena using geographic data. But the emergence of...