Papers

2

Total Citations

42

H-Index

2

About

Divya Mahajan is a leading researcher at the intersection of computer architecture, robotics, and domain-specific acceleration. Her work addresses the critical challenge of bridging the gap between general-purpose computing and specialized hardware, enabling high-performance, energy-efficient systems for emerging applications. Mahajan’s most impactful contribution is **RoboX**, an end-to-end solution that accelerates autonomous control in robotics. This work tackles the computationally intensive motion planning and control algorithms essential for true robotic autonomy, paving the way for transformative applications in social and enterprise domains. With 35 citations, RoboX is recognized as a foundational step toward practical, real-time robotic systems. More recently, Mahajan has introduced a **computational stack for cross-domain acceleration**, which seeks to reconcile the trade-off between the high performance of domain-specific accelerators and the expressiveness of general-purpose hardware. By developing specialized languages and architectures that are both powerful and flexible, she is shaping the next generation of computing systems. Her research is critical for students and engineers aiming to build efficient, scalable hardware for AI, robotics, and beyond.

Research Focus

Key Achievements

2
H-Index
2
Papers
42
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
RoboX: An End-to-End Solution to Accelerate Autonomous Control in Robotics
35 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Georgia Institute of Technology, Microsoft Research (United Kingdom)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago