Papers

3

Total Citations

10

H-Index

2

About

Lev Kirischian is a researcher specializing in reconfigurable computing, embedded systems design, and adaptive hardware architectures, with a particular focus on FPGA-based System-on-Programmable Chip (SoPC) platforms. His work addresses one of the most pressing challenges in modern autonomous and mobile systems: ensuring sustained performance and reliability under dynamic, real-world operating conditions. Kirischian's most notable contributions center on run-time structural adaptation techniques for FPGA-based systems deployed in demanding application domains such as robotics, aerospace, defense, and autonomous vehicles. His research develops intelligent decision-making frameworks that allow embedded systems to dynamically reconfigure their hardware architecture in response to fluctuating power budgets, die temperature variations, and hardware faults — without sacrificing computational performance. This approach provides a critical layer of resilience for multimodal, multitask workloads that characterize modern autonomous systems. His 2018 paper on run-time mitigation of power and fault variations has garnered 6 citations, establishing foundational concepts that his subsequent 2021 publications continue to refine and extend. While his citation footprint is still growing, Kirischian's work addresses genuinely complex engineering problems at the intersection of hardware reliability, adaptive computing, and autonomous systems — areas of increasing importance as intelligent embedded platforms become more deeply integrated into safety-critical applications.

Research Focus

Key Achievements

2
H-Index
3
Papers
10
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Run-Time Mitigation of Power Budget Variations and Hardware Faults by Structural Adaptation of FPGA-Based Multi-Modal SoPC
6 citations · 2018
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Toronto Metropolitan University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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