Photo: Max Shulaker (left) and Justin Solomon (right)
Two assistant professors of electrical engineering and computer science have been named to career development chairs.
Max Shulaker has been appointed to the Emmanuel E. Landsman (1958) Career Development Chair, which was established through the generous contribution of Manny Landsman, an alumnus who founded American Power Conversion Company.
Shulaker, who joined EECS in July 2016, is a core and resident member of the Microsystems Technology Laboratories (MTL), and a principal investigator in the Research Laboratory of Electronics (RLE). He received his BS, MS, and PhD from Stanford University in Electrical Engineering. At MIT, Shulaker is launching an experimental research program aimed at realizing his vision for the next-generation of electronic systems based on transformation nanosystems — leveraging the unique properties of emerging nanotechnologies and nanodevices to create new systems and architectures with enhanced functionality and improved performance. The goal of his research group is to drive nanosystems from concept to reality, resulting in hardware demonstrations of what future electronic systems might look like: from 3-D chips with layers of sensing, memory, and logic densely integrated for on-chip ultra-high bandwidth sensing and processing, to computation finely-immersed in biological systems for disease monitoring and nanoimplants.
Justin Solomon has been appointed to the X Consortium Career Development Chair, which was established through the generous contribution of the X Window Consortium. The professorship promotes academic interest in human–computer communications.
Solomon, who joined EECS in June, 2016, is leading the new Geometric Data Processing group, focusing on research problems related to geometry. Solomon's work has found application in several communities, including computer graphics, machine learning, and imaging. He also is the author of a textbook titled Numerical Algorithms (CRC Press, 2015).
Solomon is a member of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). He received a BS in mathematics and computer science, an MS in computer science, and a PhD in computer science from Stanford University. He also served as a Teaching Fellow at Stanford, lecturing for courses in graphics, differential geometry, and numerical methods. Prior to joining MIT, he was an NSF Mathematical Sciences Postdoctoral Research Fellow in the Princeton Program in Applied and Computational Mathematics. Before his graduate studies, he was a member of Pixar’s Tools Research group.