University of Minnesota
University of Minnesota: Department of Mechanical Engineering
http://www.me.umn.edu/

kodandaramaiah

Suhasa Kodandaramaiah

Benjamin Mayhugh Assistant Professor in Mechanical Engineering

Office: 303 Mechanical Engineering
Phone: 612-626-1307
Fax: 612-625-6069
Email: suhasabk@umn.edu

2013-2015, Post-Doctoral Associate, Media Lab and McGovern Institute for Brain Research, Massachusetts Institute of Technology
Ph.D. 2013, Mechanical Engineering, Georgia Institute of Technology
M.S. 2008, Mechanical Engineering, University of Michigan
B.E. 2006, Mechanical Engineering, Visvesvaraya Technological University

Research

Originally from India, Dr. Kodandaramaiah obtained a Masters degree from the University of Michigan, Ann Arbor and PhD from Georgia Institute of Technology, both in Mechanical Engineering. Since 2013, he has been a Post-Doctoral Associate in the Media Lab and McGovern Institute for Brain Research at Massachusetts Institute of Technology. His research is at the intersection of robotics, precision engineering and neuroscience. During his graduate studies and post-doctoral training, Dr. Kodandaramaiah developed robotic tools for observing and analyzing neuronal circuit computations in intact living brains. In 2010, the work was awarded the R. V. Jones Memorial Award by the American Society for Precision Engineering. In 2012, Dr. Kodandaramaiah was recognized by Forbes magazine's 30 under 30 list of rising researchers in science and healthcare.

The research in the Bio-sensors and Bio-robotics lab at UMN will focus on engineering tools for scalable, high-throughput, cellular resolution manipulation and interrogation of intact biological systems such as the brain. These technologies aim to automate difficult to perform assays used to study intact biological systems and generate large-scale quantitative datasets that are not possible with conventional methods. Along with collaborators, these tools will be applied in novel scientific studies enabling new discoveries that enhance our understanding of complex biological systems and inform how their cellular components go awry in pathological diseased states.

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