Siddharth Srivastava
School of Computing and Augmented Intelligence
Arizona State University
About Professor Siddharth Srivastava
Professor Siddharth Srivastava is an esteemed Associate Professor in the School of Computing and Augmented Intelligence at Arizona State University, a leading institution recognized for its cutting-edge research and innovation in technology and computing. The School of Computing and Augmented Intelligence is celebrated for its interdisciplinary approach, fostering an academic environment that encourages collaboration among experts in artificial intelligence, machine learning, and robotics. Arizona State University’s commitment to advancing knowledge and technological applications makes it a respected leader in the field, attracting top-tier faculty and students dedicated to exploring the frontiers of computing.
🧬Research Focus
Professor Srivastava's research delves into the intricacies of artificial intelligence, focusing on automated planning and robotics with an emphasis on long-horizon decision-making under uncertainty. His work in task and motion planning aims to create robust AI systems capable of operating in complex real-world environments, utilizing a blend of symbolic reasoning and learning-based methodologies. Additionally, his contributions to explainable AI and AI assessment are pivotal in evaluating the capabilities and limitations of sophisticated decision-making systems, including large language models. By addressing the challenges of interpretability and reliability in AI, his research has the potential to drive significant breakthroughs in the development of autonomous systems.
🎓Student Fit & Career
Graduate students who thrive under Professor Srivastava’s mentorship are typically those with a strong foundation in artificial intelligence and a keen interest in applying their skills to real-world challenges. Ideal candidates are inquisitive, innovative, and possess a collaborative spirit, with a desire to explore the intersections of technology and human-centric designs. Students engaged in this research area can pursue various career paths, including roles in academia, industry research, and technology development, where they can contribute to advancing the field of AI and its applications in robotics and automated systems.
Research Areas
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