MAHAVEER SIDDAGONI BIKSHAPATHI Research Profile

About

Mahaveer SB is an accomplished Embedded Firmware Developer with extensive experience in embedded systems, firmware development, and real-time operating systems. Currently working at HP Inc., he specializes in embedded controller development for next-generation computing platforms, including Windows on Arm Qualcomm SoCs. With a Master’s degree in Electrical and Electronics Engineering from the University of Texas at Tyler, Mahaveer has built a strong technical foundation in Embedded C/C++, RTOS, Linux kernel development, and device drivers. His expertise spans across ARM Cortex-M, AVR, and MIPS architectures, and he has worked with leading-edge embedded platforms such as STM32F4, ATSAME70, TM4C129, and BeagleBone Black. Prior to his role at HP, Mahaveer contributed to Avery Dennison as a Firmware Engineer, where he played a key role in developing firmware for thermal printers, USB interfaces, and board support packages. He also has experience working with Zephyr RTOS, On-Time RTOS, and Agile SDLC methodologies. His tenure at Wabtec Corporation involved working on railway braking systems with QNX RTOS. An IEEE Senior Member, Mahaveer is deeply passionate about Edge AI, AIoT, and real-time embedded computing. His work revolves around low-latency AI-driven embedded solutions, bridging the gap between hardware and intelligent software. With a track record of innovation, problem-solving, and mentoring, Mahaveer continues to drive advancements in embedded firmware engineering, shaping the future of smart computing and industrial automation.

Skills

Experience

Embedded Firmware Developer

HP, Spring

Jul-2024 to Present

Firmware Engineer

Avery Dennison

Sep-2017 to Jul-2024

Education

University of Texas at Tyler

Master's in Electrical and Electronics Engineering

Passout Year: 2016

Peer-Reviewed Articles

Survey on Design of CIC Decimator and Interpolator in Wireless Receivers

The advancement in Wireless communications has always led to the need of multi rate signal processing. Multi-rate signal processing plays a pivotal role in the field of wireless communication due to many reasons like its ability to improve its efficiency, flexibility, and performance in various aspects of signal handling. The computational complexity can be minimized; signal quality can be enhanced and easy adaptability to varied communication scenarios is possible by usage of different sampling rates. So should be the design of wireless receivers to adapt to different sampling rates where it is observed that Cascaded Integrator-Comb (CIC) filters play a pivotal role. CIC filters have multiplier-less architecture and are considered more efficient in decimation and interpolation which make them perfect for high-speed digital communications. This review not only highlights the relevance, design enhancements, and application of CIC filters in meeting the growing demands of next-generation wireless technologies but also focuses on the estimation of other hardware resource parameters to evaluate their performance.

CONTENT-BASED VIDEO SHOT BOUNDARY DETECTION USING CANNY EDGE FEATURES

Video Shot Boundary Detection (VSBD) is a vital preliminary step in content-based video analysis, enabling efficient indexing, retrieval, summarization, and editing workflows. This paper introduces a robust and computationally efficient method for detecting shot boundaries especially abrupt cuts using the Canny edge features. Our approach employs the following pipeline: frames are converted to grayscale and Canny edge features are extracted. Normalized ECR is computed on consecutive frames, then threshold is set and shot transitions are flagged. We benchmark our method on standard datasets such as TRECVID, evaluating performance in terms of precision, recall, F1-score. Our proposed method average F1-score 93.17.

Scholar9 Profile ID

S9-112024-1206388

Publication

(0)

Article Reviewed

(17)

Citations

(0)

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(0)

Mr. MAHAVEER SIDDAGONI BIKSHAPATHI