Jnaneshwar Das
Arizona State University
Assistant Research Professor
Expertise: robotics, machine learning, autonomous systems, environmental monitoring, precision agriculture
About Me
Publications
Jnaneshwar Das holds the Alberto Enrique Behar Research Professorship at the School of Earth and Space Exploration at Arizona State University, with expertise in robotic monitoring, machine learning, autonomous systems, and unmanned vehicles. His research contributions include mixed-initiative spatio-temporal observation of environmental and biological processes, exploiting mathematical models, and algorithms for closing the loop on data-driven robotic sampling.
Prior to joining ASU, Das was a postdoctoral researcher at the General, Robotics, Automation, Sensing and Perception (GRASP) laboratory at the University of Pennsylvania, where he investigated the use of unmanned aerial vehicles (UAVs) for precision agriculture, Earth sciences, and humanitarian applications.
He is a co-organizer of the National Science Foundation’s Student Cyber-Physical Systems (CPS) Challenge, and the founder of the OpenUAV Project, producing testbeds to support UAV education and research.
For his doctoral work, he collaborated extensively with the Department of Biological Sciences at the University of Southern California, and the Monterey Bay Aquarium Research Institute (MBARI) on plankton bloom detection, tracking, and sampling with autonomous underwater vehicles, and Lagrangian drifters.
Prior to joining ASU, Das was a postdoctoral researcher at the General, Robotics, Automation, Sensing and Perception (GRASP) laboratory at the University of Pennsylvania, where he investigated the use of unmanned aerial vehicles (UAVs) for precision agriculture, Earth sciences, and humanitarian applications.
He is a co-organizer of the National Science Foundation’s Student Cyber-Physical Systems (CPS) Challenge, and the founder of the OpenUAV Project, producing testbeds to support UAV education and research.
For his doctoral work, he collaborated extensively with the Department of Biological Sciences at the University of Southern California, and the Monterey Bay Aquarium Research Institute (MBARI) on plankton bloom detection, tracking, and sampling with autonomous underwater vehicles, and Lagrangian drifters.