Zunera Jalil
Papers
2
Total Citations
717
H-Index
2
About
Zunera Jalil is a leading researcher at the intersection of artificial intelligence, smart city infrastructure, and human-robot interaction. Her work primarily focuses on advancing intelligent systems that can understand and respond to human emotions, particularly in multilingual and cross-cultural contexts. In her highly cited 2022 paper on future smart cities, which has garnered 579 citations, Jalil comprehensively outlined the requirements, emerging technologies, and challenges for building truly responsive urban environments. Her groundbreaking 2021 study on cross-corpus multilingual speech emotion recognition, cited 138 times, introduced an ensemble learning approach to solve the longstanding challenge of enabling robots to accurately interpret emotional cues from users of diverse linguistic backgrounds. This work is critical for developing service robots that can interact naturally with global populations. Jalil’s research bridges the gap between technical AI capabilities and real-world applications, making significant contributions to creating more empathetic and adaptable intelligent systems for tomorrow’s interconnected world.
Research Focus
Key Achievements
Top Papers
- 1
- 2Cross corpus multi-lingual speech emotion recognition using ensemble learning138 citations · 2021