The fields of sustainable transportation and energy systems, edge computing and IoT systems, efficient computing for AI and edge devices, serverless computing and cloud marketspaces, high-performance computing, data management and processing, and cloud and cloud-native computing are witnessing significant advancements. A common theme among these fields is the development of innovative solutions to promote sustainable and environmentally friendly technologies. In the field of sustainable transportation and energy systems, researchers are exploring new frameworks for designing incentives to encourage the diffusion of sustainable innovations, such as electric vehicles and urban air mobility. Notable studies have demonstrated the potential of these systems to reduce travel times, lower energy costs, and increase user acceptance. The field of edge computing and IoT systems is moving towards a more sustainable and efficient direction, with a focus on developing novel edge-based architectures and integrating artificial intelligence and machine learning techniques to optimize edge computing performance. The field of efficient computing for AI and edge devices is rapidly evolving, with a focus on optimizing performance, reducing latency, and improving energy efficiency. Recent developments have centered around innovative architectures, scheduling techniques, and compilation frameworks that enable faster and more accurate processing of complex workloads. The field of serverless computing and cloud marketspaces is witnessing significant advancements, driven by the need for efficient and cost-effective resource management. Researchers are focusing on developing innovative simulation tools and frameworks to analyze and optimize the performance of serverless platforms. The field of high-performance computing is witnessing significant advancements in matrix multiplication and workflow scheduling. Researchers are exploring novel approaches to optimize matrix multiplication and developing scheduling frameworks that can efficiently manage GPU resources in multi-tenant environments. The field of data management and processing is witnessing significant advancements, driven by the need for efficient, scalable, and robust solutions. Recent developments are focused on improving performance, reducing latency, and enhancing overall system reliability. The field of cloud and cloud-native computing is seeing significant advancements in runtime security and AI/ML optimization. Researchers are exploring new ways to enhance security in containerized and virtualized environments and optimizing AI/ML workflows. Some notable papers in these fields include Optimal policy design for innovation diffusion, Joint Edge Server Deployment and Computation Offloading, AutoSAGE, Serv-Drishti, Low-Rank GEMM, eBPF-PATROL, and InferF. Overall, these advancements have the potential to significantly improve the efficiency and effectiveness of various computational workloads and promote the adoption of sustainable and environmentally friendly technologies.