Krishna is a passionate researcher with a deep knowledge of machine learning, deep learning, and mathematics. He has a keen interest in using these advanced techniques to design data-driven models and learning algorithms for mobile robots operating in challenging environments. His work at Clemson University involves optimizing the performance of these robots and allowing them to adapt and improve over time, making them useful in a wide range of robotics applications.

Krishna's previous work has taken him to some of the top universities in the world, including the University of Notre Dame and the University of Groningen, where he has worked on developing safety-driven multi-agent reinforcement algorithms and studying the impact of adversarial agents in multi-agent reinforcement learning. He has also been involved in designing robust controllers for Direct Current Networks and integrating human behavior into Smart-Charging of Electrical Vehicles and controlling piezoelectric actuators.

Krishna's expertise in machine learning, deep learning, and mathematics, combined with his passion for robotics and his drive to push the boundaries of what is possible, make him a valuable contributor to the field. He is excited to continue his work and share his knowledge with the world.

You can find Krishna's works and research projects on his LinkedIn profile (https://www.linkedin.com/in/kc-kosaraju/) and his Github profile (https://github.com/asokraju). If you want to see his skills in action, check out his Leetcode profile (https://leetcode.com/asokraju/).