George K. Thiruvathukal

Argonne National Laboratory, Loyola University Chicago

Papers

6

Total Citations

92

H-Index

3

About

George K. Thiruvathukal is a leading figure at the intersection of low-power computing, computer vision, and educational robotics. His seminal work, "Low-Power Computer Vision: Status, Challenges, and Opportunities" (2019), which has garnered 76 citations, addresses the critical challenge of deploying vision systems on energy-constrained mobile and autonomous platforms, establishing a foundational roadmap for the field. Beyond this, he is deeply committed to STEM education, pioneering innovative exercises that integrate high school mathematics—from algebra to precalculus—with robot motion planning. His work on simple motion planning and convex polygon paths makes abstract mathematical concepts tangible through hands-on robotics, bridging the gap between theory and practice. More recently, Thiruvathukal has delved into the security of deep learning, co-authoring a 2024 study that provides a multi-dimensional analysis of adversarial attacks and defenses, underscoring the vulnerabilities in safety-critical applications like self-driving vehicles. His diverse portfolio demonstrates a rare ability to advance both cutting-edge research and accessible education, making him a vital contributor to the future of intelligent, efficient, and secure autonomous systems.

Research Focus

Key Achievements

3
H-Index
6
Papers
92
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Low-Power Computer Vision: Status, Challenges, and Opportunities
76 citations · 2019
📈 Most Prolific Year: 2019 (4 Papers)
🤝 Key Collaborators: 53
🏛 Institutions: Argonne National Laboratory, Loyola University Chicago

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago