Sam Goundar

University of the South Pacific, British University Vietnam, RMIT University

Papers

Total Citations

H-Index

About

Sam Goundar is a prominent researcher whose work spans the critical intersection of cybersecurity, artificial intelligence, and robotics. His most cited paper, "Cyber security attacks on robotic platforms" (2019, 31 citations), highlights his foundational contribution to understanding vulnerabilities in automation and robotic systems, a field increasingly vital as industries adopt autonomous technologies. He has also made significant strides in AI and computer vision, editing the proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021, 18 citations), which underscores his leadership in advancing machine learning applications. More recently, Goundar has delved into affective computing, co-authoring "Comparative Analysis of Machine Learning Models for Emotion Classification in Speech Data" (2024, 3 citations), a study that leverages diverse datasets like RAVDESS and CREMA to improve human-computer interaction. His work is not only technically rigorous but also highly relevant, addressing pressing challenges in security, automation, and emotional intelligence. With a growing citation impact and a focus on real-world applications, Goundar continues to shape how researchers and engineers approach the safe, intelligent integration of AI into everyday life.