Celia Shahnaz
Papers
9
Total Citations
180
H-Index
7
About
Celia Shahnaz is a pioneering researcher in speech processing, affective computing, and assistive robotics, whose work bridges artificial intelligence and real-world humanitarian applications. Her most impactful contribution is in speech-emotion recognition, where she developed a convolutional neural network (CNN)-based system (69 citations) that analyzes vocal cues to detect emotional states—a technology with critical implications for cybersecurity and human-computer interaction. She has also advanced autonomous systems for social good, including an object-detection-driven trash collector (31 citations) and a Bangla voice-controlled rescue robot (19 citations) designed for noisy disaster environments. Her R3Diver underwater rescue robot (18 citations) and e-cane navigation system for the visually impaired (11 citations) demonstrate her commitment to low-cost, accessible solutions. Shahnaz’s work on eye-gaze-controlled robotic cars (7 citations) and GPS-guided autonomous transporters (7 citations) further showcases her versatility in deep learning and robotics. With over 180 total citations across her top papers, she is recognized for integrating cutting-edge AI with practical assistive and disaster-response technologies, making her a leading figure in engineering for societal impact.
Research Focus
Key Achievements
Top Papers
- 1Convolutional Neural Network (CNN) Based Speech-Emotion Recognition69 citations · 2019
- 2
- 3Bangla voice controlled robot for rescue operation in noisy environment19 citations · 2016
- 4
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- 6Real time hand movement controlled robotic arm for risk prevention10 citations · 2017
- 7
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- 9Deep Learning-Based Eye Gaze Controlled Robotic Car7 citations · 2018