Pathipati Srihari

National Institute of Technology Karnataka

Papers

Total Citations

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About

Pathipati Srihari is a researcher advancing the frontiers of real-time signal processing and embedded systems, with a core focus on high-speed Kalman filter (KF) algorithms and their hardware acceleration. His work directly addresses the computational bottleneck of matrix multiplication—traditionally of order O(n³)—which limits KF performance in critical applications such as autonomous vehicles, robotics, and target tracking. Srihari’s major contribution lies in adapting Strassen’s algorithm, a divide-and-conquer matrix multiplication method, to create modified, low-complexity KF architectures. His 2023 paper on a “Modified Strassen Algorithm based DSP Accelerated 3D Kalman Filter” and his 2024 follow-up on “High-Speed Strassen Matrix Multiplication Accelerators for 2D Kalman Filter” demonstrate novel approaches to reducing area and increasing throughput in hardware implementations. While his citation counts are still growing—reflecting the emerging nature of this work—the practical significance of enabling faster, more efficient Kalman filters for safety-critical, real-world systems is clear. Srihari’s research bridges theoretical algorithm optimization with practical digital signal processing (DSP) design, making him a promising voice in the development of next-generation, low-latency control and tracking systems.