Where security challenges grow more complex by the day, innovative solutions are paramount to safeguarding the future. As the demands for high-performance, low-power, and lightweight devices increase, so too does the need for robust security architectures. Leading the charge in this arena are pioneering efforts in hardware security, which are driving advancements in system resilience, AI integration, and next-generation technological frameworks. These groundbreaking solutions not only address the immediate threats of today but also lay the foundation for a more secure and reliable technological landscape in the years to come.
As a lead hardware security architect, Avani Dave has been instrumental in solving real-world security challenges and identifying innovative opportunities for next-generation solutions. Her role has allowed her to delve into pathfinding work, exploring parallel technological advancements such as the use of open-source ISA RISCV to achieve optimized power, area, and performance goals. This work has not only helped her climb the professional ladder but also established her as an industry leader in the security domain. Her expertise extends to groundbreaking technologies like AI, particularly in its application for anomaly detection and driverless vehicle assistance in dynamic road conditions through reinforcement learning.
Within her organization, Avani is recognized as a lead architect for graphics security controllers, where her work on RISCV has earned her a place on an esteemed architect and cross-functional panel for evaluating external vendors' contributions. Externally, she has actively engaged with the embedded systems security community, focusing on next-generation security requirements for self-driving cars and connected vehicle systems.
Among her most notable projects, she has collaborated on and authored research papers that address current limitations in zone-based network and centralized controller approaches for automotive applications. Her innovative proposals, such as smart zone-based network interconnects and FPGA-based reconfigurable recovery systems, offer novel solutions for mitigating zero-day attack scenarios. This work has demonstrated the utilization of RISCV processors in chiplet-based architectures, optimizing resource utilization and enhancing resiliency to modern-day attacks.
Avani has successfully overcome significant challenges in a fast-moving industry where the demand for high-performance, low-power, and lightweight solutions is paramount. Her work has incorporated open-source security specifications and standards, such as the Trusted Computing Group's DICE standards and Google's open-source implementation of secure boot SOCs. In the automotive sector, Avani's focus on security for embedded systems and scalable complex interconnections has been groundbreaking, providing resilient solutions for modern-day attacks.
Her published works, including "SafeEye" and "Dashcam-Eye," highlight the integration of RISCV and AI for safer, optimized route navigation. Additionally, Dave’s previous research, "SRACARE," offers techniques for designing resilient systems within resource-constrained environments, which are critical for the automotive industry.
Avani Dave's insights reflect her deep understanding of system security and the complexities of AI in the automotive industry. She recognizes the challenges of ensuring safety and security in self-driving vehicles and stresses the importance of careful evaluation before deploying AI for public use. Avani advocates for resilient system designs that not only detect attacks but also prevent them and provide recovery mechanisms to maintain minimal functional states. Her vision for the future emphasizes the need for more research and development in AI-optimized and attack-resilient system designs.
