About

Bhaskar Mukhoty is a highly motivated and dedicated Postdoctoral Researcher with a strong background in computer science and machine learning. He is currently pursuing his PhD in the department of CSE at IIT Kanpur, where he is working on developing robust learning algorithms that can learn estimator/function with reasonable accuracy from corrupted training data. His research is focused on developing easy-to-implement algorithms that work under adversarial corruption with provable guarantees. Bhaskar has a keen interest in the applications of machine learning in security and time-series forecasting. He has gained valuable experience working as an Applied Scientist Intern at Amazon and as a Research Intern at IBM. These experiences have allowed him to develop strong research skills and a deep understanding of the latest machine learning techniques. Bhaskar's education background includes a Master's degree in Computer Science from the Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, and a Bachelor of Technology in Computer Science from Guru Nanak Institute of Technology, Kolkata. He has a strong technical skill set and is proficient in a range of programming languages and tools. With over 12 years of relevant experience, Bhaskar is a highly skilled researcher who is committed to developing innovative solutions to complex problems. He is a team player who enjoys collaborating with others and is always looking for new challenges and opportunities to learn and grow.