Vivaksha Mohalia
Papers
1
Total Citations
2
H-Index
1
About
Vivaksha Mohalia is a researcher whose work lies at the intersection of high-performance computing, signal processing, and embedded systems. Her primary research focus is on developing computationally efficient algorithms for real-time applications, particularly in robotics, autonomous navigation, and target tracking. Her most notable contribution is the design of a modified Strassen algorithm-based DSP-accelerated 3D Kalman filter, which dramatically reduces the computational complexity of traditional matrix multiplication from cubic to sub-cubic order. This innovation directly addresses the bottleneck of high-dimensional state estimation, enabling faster and more reliable performance in resource-constrained environments. While her 2023 paper has garnered early citations, its practical impact is evident in its potential to enhance autonomous vehicle systems and robotic control. Mohalia’s work exemplifies how algorithmic optimization can bridge the gap between theoretical efficiency and real-world deployment. Her research continues to influence the development of faster, more accurate filtering techniques, making her a promising voice in the field of embedded signal processing and control systems.
Research Focus
Key Achievements
Top Papers
- 1A Modified Strassen Algorithm based DSP Accelerated 3D Kalman Filter2 citations · 2023