Muhammad Jafar Sadeq

Asian University of Bangladesh

Papers

3

Total Citations

81

H-Index

3

About

Muhammad Jafar Sadeq is an emerging researcher whose work sits at the dynamic intersection of artificial intelligence, smart technologies, and their real-world applications across critical domains. His most influential contribution, a comprehensive review on AI for COVID-19 containment (2023), has garnered 61 citations, establishing him as a notable voice in understanding how machine learning and AI-driven solutions can be mobilized during global health crises. This work systematically evaluated AI's transformative role in pandemic management, from diagnostics to surveillance and containment strategies. Beyond healthcare, Sadeq has demonstrated a strong commitment to addressing global food security challenges. His research on the technological adaptation of advanced farming — integrating artificial intelligence, the Internet of Things, and robotics — explores innovative solutions to pressing concerns such as population growth, climate change, and diminishing agricultural resources. With multiple publications on this topic accumulating over 20 citations, his work advocates for smarter, data-driven agricultural systems capable of sustaining future generations. Collectively, Sadeq's scholarship reflects a forward-thinking researcher dedicated to leveraging emerging technologies to solve some of humanity's most urgent challenges, making his work valuable reading for students and practitioners in AI, agriculture, and public health alike.

Research Focus

Key Achievements

3
H-Index
3
Papers
81
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
Review on the Evaluation and Development of Artificial Intelligence for COVID-19 Containment
61 citations · 2023
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Asian University of Bangladesh

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago