Abdul Rehman Javed
Papers
2
Total Citations
717
H-Index
2
About
Abdul Rehman Javed is a leading researcher at the intersection of smart cities, cybersecurity, and affective computing. His work is defined by a forward-looking vision of intelligent, secure, and human-centric urban systems. Javed’s most impactful contribution is his comprehensive survey on future smart cities, which has garnered over 579 citations. This seminal work systematically maps the requirements, emerging technologies, and critical challenges for next-generation urban environments, serving as a foundational reference for researchers and practitioners alike. In the domain of human-robot interaction, he has pioneered novel approaches to speech emotion recognition, notably developing a cross-corpus, multi-lingual ensemble learning framework (138 citations) that addresses the long-standing challenge of enabling robots to accurately interpret emotional cues across diverse languages and cultural contexts. This work is pivotal for creating more natural and empathetic service robots. Javed’s research demonstrates a rare ability to bridge high-level system architecture with granular, real-world interaction problems, establishing him as a key voice in shaping the future of intelligent, responsive, and secure urban life.
Research Focus
Key Achievements
Top Papers
- 1
- 2Cross corpus multi-lingual speech emotion recognition using ensemble learning138 citations · 2021