Ammar Bajwa
Papers
2
Total Citations
39
H-Index
2
About
Ammar Bajwa is a leading researcher at the forefront of artificial intelligence applications for public safety and smart infrastructure. His work focuses on developing AI-based emergency response systems that enhance real-time decision-making, risk assessment, and disaster mitigation strategies. Through a comprehensive systematic literature review encompassing 424 studies, Bajwa has mapped the critical role of AI in transforming how smart infrastructure detects, responds to, and recovers from emergencies. His research demonstrates how machine learning algorithms can analyze sensor data, predict infrastructure vulnerabilities, and coordinate autonomous response mechanisms during crises. With his most-cited papers accumulating 39 citations in 2025 alone, Bajwa's contributions are rapidly gaining recognition for bridging the gap between theoretical AI models and practical emergency management solutions. His work provides a foundational framework for engineers and policymakers seeking to integrate intelligent systems into urban safety networks, positioning him as an emerging authority in the intersection of artificial intelligence, civil infrastructure, and disaster resilience.
Research Focus
Key Achievements
Top Papers
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