Usman Akthar
Post Doc in computational complexity of ride-pooling problems.
Usman graduated from Computer Science at Kyung Hee University (KHU) in South Korea, he brings a broad computer science experience to the team. He works in the intersection of Data Management, Distributed Systems, and Specialized Hardware, intending to make data-intensive applications more efficient in the cloud and datacenter.
His previous experience focuses on enabling the cloud for data acquisition, persistence, and storage that aimed at comprehensively mining human’s daily life. He has experienced in handling unstructured data and performing analytics on the data generated from heterogeneous resources for producing personalized health and wellness support. His research areas include computational complexity of ride-pooling, data acquisition and communication in cloud-centric IoT, Big data persistence, management, wellness-based cloud platforms, and human lifelog monitoring with behavior tracking.