Mohammad Hadhrawi is currently a postgraduate student research assistant in the The Graphics and Interaction Group (“Rainbow”) at the Computer Lab, University of Cambridge, and a Research Associate at the Center for Complex Engineering Systems (CCES) at King Abdulaziz City for Science and Technology (KACST) and Massachusetts Institute of Technology (MIT). He was a research assistant in the Changing Places group at the MIT Media Lab and a teaching fellow at Harvard School of Engineering and Applied Sciences. He graduated, with distinction, from King Fahd University of Petroleum and Minerals (KFUPM) with a B.Sc in computer engineering. He then received an M.Sc in Information from the University of Michigan (UM) – Ann Arbor where he specialized in Human-Computer Interaction, and Incentive-Centered Design. Before joining the master program, Mohammad worked as a satellite network engineer and hub manager to monitor and supervise the installation of VSAT network in the Saudi embassies around Europe and the Middle East. Before joining CCES, Mohammad worked as a Research Assistance in the Radiation Oncology department at the University of Michigan Health System. He designed a treatment planning system while investigating the collaboration between the treatment team and their interaction with the existing system. Concurrently, he worked on a project to investigate the use of mobile devices, as an enabling technology, to enhance the learning experience for children interacting with exhibits in science museums. He defined design guidelines for mobile devices’ interfaces that will be used by children in science museums. Mohammad’s interests have been gravitating toward visualizing large datasets, user interface design for digital workspaces and collaborative environment, tangible interfaces and enabling technologies. Currently, at CCES, he is working on the Sustainable Infrastructure Planning System (SIPS) project in which he is developing a Collaborative Planning Interface (CPI) to visualize complex data to support decisions makers in their analysis to carry out better informed decisions.