About

Harsh Kasyap is a highly skilled Senior Research Scholar with a strong background in Machine Learning, Blockchain, Data Security, and Federated Learning. He is currently pursuing his PhD in the Department of Computer Science and Engineering at the prestigious Indian Institute of Technology (IIT) in India. Harsh's research interests are primarily focused on the implementation of Federated Learning in healthcare and the mitigation of security risks associated with collaborative machine learning. He has also developed solutions for secure healthcare using Blockchain technology. His research has been widely recognized for its innovative approach and practical applications. Prior to his current position, Harsh worked as a Senior Software Engineer at Diebold Nixdorf, where he was responsible for delivering innovative solutions. He has a diverse skill set that includes research, software engineering, and project management. Harsh is a highly educated individual, with a Bachelor of Engineering (B.E.) from Vishwakarma Institute of Technology and a Higher Secondary Education degree from Kendriya Vidyalaya. He has over 6 years of relevant experience and has demonstrated a strong ability to adapt to new technologies and complex situations. Harsh is a Research Scientist with expertise in Blockchain, ML, and Software Engineering. He is passionate about using his skills to develop innovative solutions that address real-world problems. He is a valuable asset to any team and is always eager to take on new challenges.