Lamine Bougueroua

Engineering School of Information and Digital Technologies, Université Paris-Panthéon-Assas

Papers

Total Citations

151

H-Index

About

Lamine Bougueroua is a researcher at the forefront of artificial intelligence and human-computer interaction, with a primary focus on emotion detection and autonomous decision-making. His most impactful work, the 2019 survey "Survey on AI-Based Multimodal Methods for Emotion Detection," has garnered 134 citations, establishing him as a key voice in the field. This comprehensive review explores how AI can analyze voice, facial expressions, and other modalities to recognize human emotions, offering transformative tools for quicker, more objective diagnosis in healthcare, communication, and robotics. Bougueroua’s contributions extend to autonomous systems, as seen in his 2022 paper on "Decision making for autonomous vehicles in highway scenarios using Harmonic SK Deep SARSA," which advances reinforcement learning for safer navigation. His 2023 work on "Emotion recognition using voice characteristics of speech recordings" further refines voice-based analysis, highlighting its potential in education and healthcare. Through these studies, Bougueroua bridges the gap between AI-driven emotion recognition and real-world applications, demonstrating how machines can better understand and respond to human states. His research not only pushes technical boundaries but also promises to enhance human-machine collaboration in critical domains.