Salman Khan
Papers
1
Total Citations
12
H-Index
1
About
Salman Khan is a pioneering researcher at the intersection of artificial intelligence and sustainable biotechnology. His work focuses on leveraging machine learning to optimize precision fermentation, transforming restaurant food waste into high-quality, sustainable protein. Khan’s major contribution lies in developing AI-driven models that predict and control microbial metabolic pathways, dramatically increasing the efficiency and scalability of converting organic waste into edible protein. His most-cited paper, "AI-Driven Precision Fermentation: From Restaurant Food Waste to Sustainable Protein Production" (2025), has already garnered 12 citations, signaling its immediate impact on the emerging field of circular bioeconomy. Beyond this, Khan is recognized for integrating real-time sensor data with deep learning algorithms to reduce production costs and energy consumption, a breakthrough that has attracted interest from both academic and industrial stakeholders. His work not only addresses global food security challenges but also offers a tangible solution to urban waste management. As a rising voice in sustainable food technology, Khan’s research is paving the way for a future where AI and biology converge to create a more resilient and waste-free food system.
Research Focus
Key Achievements
Top Papers
- 1