Papers

12

Total Citations

281

H-Index

6

About

Farokh Bastani is a leading researcher in dependable, autonomous, and intelligent software systems, with a career spanning over three decades. His work focuses on the intersection of software reliability, fault tolerance, and robotic swarm systems. Bastani made foundational contributions to dynamic dependability, developing empirical models for machine learning-based software defect prediction that have garnered over 150 citations. He pioneered the concept of fuzzy-failure criteria for systems where outputs are not binary, a critical insight for robot path planning and automated manufacturing. His early work on inherently fault-tolerant distributed programs, rooted in decentralized control, remains influential for industrial process-control and safety-critical systems. Bastani also advanced parallel architectures for maze routing algorithms, enhancing VLSI design and robotic navigation. More recently, he has developed resilient frameworks for autonomous robotic swarms operating in unknown, hostile environments, and service-oriented models for swarm coordination. His notable achievements include a highly cited 2006 empirical assessment of defect prediction techniques and a 1988 paper on fault-tolerant distributed programs, both cornerstones in their fields. Bastani’s research continues to shape the design of reliable, adaptive, and intelligent systems for real-time and autonomous applications.

Research Focus

Key Achievements

6
H-Index
12
Papers
281
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Empirical Assessment of Machine Learning based Software Defect Prediction Techniques
153 citations · 2006
📈 Most Prolific Year: 2002 (4 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: University of Houston, The University of Texas at Dallas, University of Dallas

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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