Jés de Jesus Fiais Cerqueira

Universidade Federal da Bahia, Universidade Estadual de Campinas (UNICAMP)

Papers

11

Total Citations

104

H-Index

6

About

Jés de Jesus Fiais Cerqueira is a leading researcher at the intersection of affective computing, human-robot interaction (HRI), and mobile robotics. His work centers on making robots more intuitive and emotionally intelligent, enabling them to recognize and express emotions for natural, empathetic human-robot collaboration. A key contribution is his deep learning framework for speech emotion recognition (SER), optimized via meta-learning (2023, 24 citations), which enhances user-machine interaction in healthcare, entertainment, and robotics. Cerqueira also pioneered the I2E cognitive architecture (2020, 13 citations), embedding emotions into assistive robots’ decision-making. In mobile robotics, he developed nonlinear trajectory controllers that compensate for wheel slipping and skidding (2019, 22 citations), ensuring stable navigation in real-world conditions. His comprehensive reviews on emotions in HRI (2021, 2024) have become foundational references, collectively cited over 100 times. By bridging emotional AI with robust control systems, Cerqueira’s work advances both the technical reliability and social acceptance of autonomous systems, making him a pivotal figure in creating robots that are not only functional but also empathetic partners.

Research Focus

Key Achievements

6
H-Index
11
Papers
104
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
A Deep Learning Approach for Speech Emotion Recognition Optimization Using Meta-Learning
24 citations · 2023
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Universidade Federal da Bahia, Universidade Estadual de Campinas (UNICAMP)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 70 days ago