Palghat Ramesh is a Principal Scientist at PARC with a background in computational physics and data analytics. He is interested in the modeling and simulation of complex systems, and currently works on novel 2D and 3D printing concepts and on algorithms for sensor deployment in natural gas installations for leak detection. His recent work focused of application of data analytics in transportation and healthcare, including computer vision algorithms for license plate recognition, traffic flow modeling, and the application of deep learning to generate latent representations of patients. Previously at Xerox Research, Ramesh worked on modeling and simulating the physics of printing processes at both subsystem and system levels. His work in the printing domain have included evaporation of inks on media, analyses of energy consumption of printers, fluid dynamic and thermodynamic behaviors of thin liquid films on substrates, and characterization and mitigation of defects and noises in printers. Ramesh has undergraduate degrees from IIT Madras, India and a Ph.D. from Cornell University in Mechanical Engineering, as well as a Masters in Computer Science and Data Analytics from the University of Rochester. His doctoral dissertation was on fluid flow and heat transfer in porous materials. Ramesh was presented the Xerox Innovation Group President’s award in 2015 for developing computer vision algorithms for transportation applications, and the Xerox Excellence in Science and Technology Award in 1999 for his contributions to the iGen3 printer's development system. He holds 60 U.S. patents and has authored/co-authored over 52 publications in peer-reviewed journals and conference proceedings. He also served as an adjunct professor at University of Rochester's Mechanical Engineering department from 1999-2004, where he taught courses in heat transfer.