I am Anubhav, a dynamic professional with rich experience in development and having strong leadership and interpersonal skills. My forte includes designing system architectures for IoT, ML, and Blockchain projects, as well as engaging in R&D for cutting-edge robots, drones, and cloud technologies. My skills also include making technical illustration and graphic designing. I am steadfast in my dedication to being a synergistic and constructive team player, and I am zealous in applying my erudition and coding aptitude to yield outstanding outcomes.
Experience
Worked for the Full Chip Verification Team at AMD, a leading semiconductor company that acquired Xilinx, the leader in adaptive and intelligent computing. Originally employed by Xilinx through campus placement at BITS Pilani
- Responsible for coding test benches for verifying the RTL of IPs related to high frame-rate video processing, real-time signal processing, high bandwidth IO, low latency control, and other hardware-accelerated algorithm IPs.
- Played a key role in developing an internal tool to automate the regression testing process, which featured a GUI along with analysis and reporting capabilities.
- Worked extensively on the DPU IP, a programmable engine dedicated to convolutional neural networks. The DPU IP includes a register configure module, data controller module, and convolution computing module with a specialized instruction set for efficient operation across various convolutional neural networks including VGG, ResNet, GoogLeNet, YOLO, SSD, MobileNet, and FPN.
- Integrated the DPU IP with DDR memory based on the provided architectural diagrams, ensuring optimal performance for deep learning applications.
My PhD is under the ASEAN India Collaborative Project funded by SERB DST, a collaborative initiative between Prof Vinay Chamola (PI), BITS Pilani, India, Prof Biplab Sikdar (Co-PI), National University of Singapore, and Prof Huynh Thi Thanh Binh, Hanoi University of Science and Technology, Vietnam. My PhD topic is “Enabling Drone Driven Smart Cities: Real-time computer vision, Secure Communication, and Data Fusion for Drones.”
- Actively involved in high-impact research aimed at integrating drone technology into smart city infrastructures.
- Mentored over 20 students closely, guiding them on both study-oriented and lab-oriented projects.
- Co-instructed lectures and lab sessions in courses such as Internet of Things, Hardware Software Co-design, and Microprocessor Programming and Interfacing.
- Collaborated with international experts from the National University of Singapore and Hanoi University of Science and Technology.
- Managed the IoT Tinker Lab, overseeing projects and ensuring effective use of the allocated 80 lakhs INR funding.
I was awarded the prestigious Australia-India Research Fellowship sponsored by Australian Government. I worked at the Cisco LaTrobe Centre for AI and IoT, LaTrobe University under the guidance of Prof Wei Xiang.
- Successfully implemented a novel authentication scheme to enhance secure communication between UAVs and ground stations as well as between UAVs.
- Collaborated closely with experts at the Cisco LaTrobe Centre for AI and IoT, leveraging cutting-edge AI and IoT technologies.
- Conducted extensive research and development to ensure the robustness and reliability of the authentication scheme in various operational scenarios.
I was invited by Prof. Biplab Sikdar at the CISCO-NUS Corporate Lab, National University of Singapore, to work on an innovative project focusing on the application of AI in health insurance operations and medical teleconsultation. This collaborative effort resulted in the publication of two significant papers: A Blockchain and ML-Based Framework for Fast and Cost-Effective Health Insurance Industry Operations and Enabling Cost-Effective and Secure Minor Medical Teleconsultation Using Artificial Intelligence and Blockchain.
- Contributed to the development of a blockchain and machine learning-based framework aimed at optimizing health insurance industry operations, reducing costs, and improving efficiency.
- Implemented AI-driven solutions for secure and cost-effective minor medical teleconsultation, enhancing accessibility and patient outcomes.
- Published two research papers detailing the methodologies and results of the project, which were well-received in the academic and professional communities.
Projects
Developed an advanced multi-functional UAV platform for autonomous operations in smart city environments.
- Engineered a flight controller compliant with the Pixhawk open hardware standard, running the PX4 flight stack combined with nVidia Jetson Xavier NX for powerful onboard processing.
- Implemented the Kria KV260 board to enable real-time AI inferencing using sophisticated computer vision algorithms, optimizing performance in few-shot learning scenarios.
- Integrated SLAM (Simultaneous Localization and Mapping) capabilities to enhance autonomous navigation and environmental awareness.
- Designed modular payloads to support various applications, including aerial imaging, delivery, and environmental monitoring.
Developed a secure and high-performance blockchain platform tailored for mobility applications, ensuring data integrity and privacy.
- Implemented geo-location tracking, querying, and verification features to enhance mobility management.
- Supported high transaction speeds and throughput, coupled with low transaction costs, to optimize performance.
- Enabled secure Vehicle-to-Everything (V2X) communication and data sharing between roaming and stationary entities.
- Leveraged a combination of Blockchain, AI, IoT, and 5G technologies to create an innovative and efficient mobility ecosystem.
Designed a decentralized data marketplace that ensures secure and private data exchange using Decentralized Identifiers (DIDs).
- Developed a platform that facilitates self-sovereign data management and exchange, enhancing user privacy and control.
- Implemented advanced cryptographic techniques to secure data transactions and protect against unauthorized access.
- Created a user-friendly interface to simplify the process of data exchange and ensure seamless interaction.
- Conducted extensive testing and validation to ensure the robustness and reliability of the platform in various scenarios.
Education
- Computer Architecture
- Embedded System Design
- Microprocessor Programming and Interfacing
- Hardware Software Codesign
- Deep Learning
- Quantum Physics
- Quantum Computing
- Classical Mechanics
- Statistical Mechanics
- Nuclear Physics
Certificates
Publications
This paper presents a novel framework that leverages AI and blockchain technologies to enable secure and cost-effective minor medical teleconsultation. The proposed solution enhances patient privacy and data security while reducing consultation costs.
This publication introduces a blockchain and machine learning-based framework aimed at streamlining health insurance operations. The proposed system enhances efficiency and reduces costs through the integration of advanced technologies.
This research demonstrates the application of machine learning on FPGA to enhance the robustness of Si3N4-gate ISFET pH sensors used in industrial IoT applications. The approach improves sensor accuracy and reliability under varying conditions.
This survey explores the potential of IoT technologies in advancing Agriculture 4.0. It discusses various IoT applications in agriculture, highlighting the benefits and challenges associated with adopting smart farming practices.
This paper proposes a novel hardware-based authentication scheme for secure communication between UAVs and ground stations, as well as between UAVs. The implementation ensures robust security and reliable data exchange in UAV networks.
This research presents a blockchain and NFT-based application designed to enhance privacy and security in property management and rental transactions. The proposed solution leverages decentralized technology to protect user data and ensure transparency.
Awards
Awarded the prestigious KVPY Scholarship by IISc Bangalore and the Dept of Science and Technology, India, recognizing brilliant students pursuing a career in scientific research.
Awarded for developing an internal tool to automate the regression testing process, which featured a GUI along with analysis and reporting capabilities
Awarded the prestigious Sakura Science Scholarship by the Japanese Science and Technology Agency, recognizing top students for fostering groundbreaking collaborative research between India and Japan
Awarded the prestigious Australia India Research Fellowship 2023 by the Australia Dept of Education, including a $10,000 grant, recognizing top 30 PhD research scholars across India for short-term research in Australia.
Selected as student delegate for participating in Nobel Laureates Convention and was awarded third prize for presenting innovative solution for Brain Computer Interfacing using Spatio-Generative Matrix based Reinforcement Learning
Languages
Skills
Interests
References
Dr. Vinay Chamola supervised my PhD research, guiding me in the project on enabling drone-driven smart cities through real-time computer vision, secure communication, and data fusion for drones.
Pratik Narang taught me Deep Learning and has been instrumental in shaping my understanding and application of machine learning techniques in various projects.
Sushant Gaonkar was my manager at AMD, where I worked on the Full Chip Verification Team, contributing to the development of test benches and the verification of various IPs.