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Jnaneshwar Das

Asst Research Professor (FSC)
Faculty, TEMPE Campus, Mailcode 6004
Asst Research Professor (FSC)
Faculty, TEMPE Campus, Mailcode 6004
Biography

Jnaneshwar Das holds the Alberto Enrique Behar Research Professorship at the school, with expertise in robotic monitoring, machine learning, autonomous systems, and unpiloted 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.

Education

Ph.D., Computer Science, University of Southern California, 2014

M.S., Computer Science, University of Southern California, 2008

B.E., Telecommunication Engineering, P.E.S. Institute of Technology (Bangalore, India), 2004

Videos
Research Interests

Das' research interests lie broadly in data-driven robotic sampling, with focus on principled approaches from statistical machine learning for robotic collection of physical samples (e.g, diseased leaf samples, water, soil) for ex-situ analysis.

 

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.

 

Research Group

Das will be leading teams to develop systems that support and extend Earth and space exploration research. These systems will help maintain the pulse on our planet and beyond, through improved observation of topography, land-cover dynamics, volcanoes, underwater habitats, and agricultural farms, while providing insights for generalization of the methods across these diverse application areas.

Publications

Journal and magazine articles

  1. S. Chen, S. Skandan, S. Dcunha, J. Das, C. Qu, C.J. Taylor, V. Kumar, ”Counting Ap- ples and Oranges With Deep Learning: A Data-Driven Approach,” in IEEE Robotics and Automation Letters, vol. 2, no. 2, pp. 781-788, April 2017.

  2. R. Ehsani, D. Wulfsohn, J. Das, I.Z. Lagos, ”Yield Estimation: A Low-Hanging Fruit for Application of Small UAS,” in ASABE Resource: Engineering & Technology for a Sustainable World, July 2016, pp. 16-18.

  3. R. Ehsani and J. Das, Yield estimation in citrus with SUAVs, Citrus Extension Trade Journals, pp. 16-18, 2016

  4. J. Das, F. Py, H. Harvey, J. Ryan, A. Gellene, R. Graham, D. Caron, K. Rajan, and G. Sukhatme, ”Data-driven Robotic Sampling for Marine Ecosystem Monitoring”, in Interna- tional Journal of Robotics Research, 34(12):1435-1452, Oct 2015.

  5. J. Das, F. Py, T. Maughan, T. O’Reilly, M. Messi, J. Ryan, G. Sukhatme, and K. Rajan, “Coordinated Sampling of Dynamic Oceanographic Features with Underwater Vehicles and Drifters”, in International Journal of Robotics Research, Vol. 31, p. 626-646, April 2012.

  6. A. Garcia-Olaya, F. Py, J. Das, and K. Rajan, “An On-line Utility based Multi-criteria Approach for Sampling Dynamic Ocean Fields”, in IEEE Journal of Oceanic Engineering, April 2012.

  7. R. Smith, J. Das, H. Heidarsson, A. de Menezes Pereira, F. Arrichiello, I. Cetinic, L. Dar- jany, M. Garneau, M. Howard, C. Oberg, M. Ragan, E. Seubert, E. Smith, B. Stauffer, A. Schnetzer, G. Toro-Farmer, D. Caron, B. Jones, and G. Sukhatme, “USC CINAPS Builds Bridges: Observing and Monitoring the Southern California Bight”, In IEEE Robotics and Automation Magazine, vol. 17, no. 1, pp. 20-30, Mar 2010.

  8. D.Caron,B.Stauffer,S.Moorthi,A.Singh,M.Batalin,E.Graham,M.Hansen,W.Kaiser,J. Das, A. de Menezes Pereira, A. Dhariwal, B. Zhang, C. Oberg, and G. Sukhatme, “Macro- to fine-scale spatial and temporal distributions and dynamics of phytoplankton and their environmental driving forces in a small subalpine lake in southern California, USA”, In Journal of Limnology and Oceanography, vol. 53, no. 5, pp. 2333-2349, 2008.

Referred conference publications

  1. Xu Liu, Steven W. Chen, Shreyas Aditya, Nivedha Sivakumar, Sandeep Dcunha, Chao Qu, Camillo J. Taylor, Jnaneshwar Das, and Vijay Kumar, "Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion", accepted in International Conference on Intelligent Robots and Systems (IROS) 2018.

  2. M. Schmittle, A. Lukina, L. Vacek, J. Das, C. P. Buskirk, S. Rees, J. Sztipanovits, R. Grosu and V. Kumar, ”OpenUAV: A UAV Testbed for the CPS and Robotics Community,” 2018 International Conference on Cyber-Physical systems (ICCPS), accepted.

  3. L. Vacek, E. Atter, P. Rizo, B. Nam, R. Kortvelesy, D. Kaufman, J. Das, V. Kumar, ”sUAS for deployment and recovery of an environmental sensor probe,” 2017 International Conference on Unmanned Aircraft Systems (ICUAS), Miami, FL, USA, 2017, pp. 1022-1029.

  4. D. Orol, J. Das, L. Vacek, I. Orr, M. Paret, C.J. Taylor, V. Kumar, ”An aerial phyto- biopsy system: Design, evaluation, and lessons learned,” 2017 International Conference on Unmanned Aircraft Systems (ICUAS), Miami, FL, USA, 2017, pp. 188-195.

  5. S. K. Sarkar, J. Das, R. Ehsani and V. Kumar, ”Towards autonomous phytopathology: Out- comes and challenges of citrus greening disease detection through close-range remote sensing,” 2016 IEEE International Conference on Robotics and Automation (ICRA), Stockholm, 2016, pp. 5143-5148.

  6. J. Das, G. Cross, C. Qu, A. Makineni, P. Tokekar, Y. Mulgaonkar, V. Kumar, ”Devices, Systems, and Methods for Automated Monitoring enabling Precision Agriculture,” in IEEE International Conference on Automation Science and Engineering (CASE), vol., no., pp.462- 469, 24-28 Aug. 2015

  7. P. Ngo, J. Das, J. Ogle, J. Thomas, W. Anderson and R. N. Smith, ”Predicting the speed of a Wave Glider autonomous surface vehicle from wave model data,” 2014 IEEE/RSJ Inter- national Conference on Intelligent Robots and Systems, Chicago, IL, 2014, pp. 2250-2256.

  8. K. Gomes, D. Cline, D. Edgington, M. Godin, T. Maughan, M. McCann, T. OReilly, F. Bahr, F. Chavez, M. Messi ́e, J. Das, K. Rajan, “ODSS: A Decision Support System for Ocean Exploration”, In 29th IEEE International Conference on Data Engineering, Workshop on Data-Driven Decision Guidance and Support Systems (DGSS) 2013.

  9. J. Das, J. Harvey, F. Py, H. Vathsangam, R. Graham, K. Rajan, and G. Sukhatme, “Hier- archical Probabilistic Regression for AUV-based Adaptive Sampling of Marine Phenomena, In IEEE International Conference on Robotics and Automation, 2013.

  10. W. Al-Sabban, J. Das, and R. N. Smith, ”Persistent robot tasking for environmental moni- toring through crowd-sourcing,” 2013 OCEANS - San Diego, San Diego, CA, 2013, pp. 1-6

  11. J. Das, W. Evans, M. Minnig, A. Bahr, G. Sukhatme, and A. Martinoli, “Environmental Sensing using Land-based Spectrally-selective Cameras and a Quadcopter”, In 13th Interna- tional Symposium on Experimental Robotics, 2012.

  12. R. Graham, F. Py, J. Das, D. Lucas, and K. Rajan, ”Exploring Space-Time Tradeoffs in Au- tonomous Sampling for Marine Robotics”, in 13th International Symposium on Experimental Robotics, 2012.

  13. R. Smith, J. Das, G. Hine, W. Anderson, and G. Sukhatme, ”Predicting Wave Glider Speed from Environmental Measurements”, In MTS/IEEE OCEANS ’11, Kona, Hawaii, Sep 2011.

  14. J. Das, T. Maughan, M. McCann, M. Godin, T. O’Reilly, M. Messi, F. Bahr, K. Gomes, F. Py, J. Bellingham, G. Sukhatme, and K. Rajan, “Towards Mixed-initiative, Multi-robot Field Experiments: Design, Deployment, and Lessons Learned”, In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011.

  15. J. Das, F. Py, T. Maughan, T. O’Reilly, M. Messi, J. Ryan, K. Rajan, and G. Sukhatme, ”Simultaneous Tracking and Sampling of Dynamic Oceanographic Features with AUVs and Drifters”, In 12th International Symposium on Experimental Robotics, 2010, Dec 2010.

  16. R. Smith, J. Das, Y. Chao, D. Caron, B. Jones, and G. Sukhatme, ”Cooperative Multi- AUV Tracking of Phytoplankton Blooms based on Ocean Model Predictions”, In Oceans ’10 - IEEE Sydney, Sydney, Australia, May 2010.

  17. J. Das, K. Rajan, S. Frolov, J. Ryan, F. Py, D. Caron, and G. Sukhatme, ”Towards Marine Bloom Trajectory Prediction for AUV Mission Planning”, In IEEE International Conference on Robotics and Automation, pp. 4784 - 4790 , May 2010.

  18. F.Arrichiello,J.Das,H.Heidarsson,A.deMenezesPereira,S.Chiaverini,andG.Sukhatme, ”Multi-Robot Collaboration with Range-Limited Communication: Experiments with Two Underactuated ASVs”, In The 7th International Conference on Field and Service Robots, Cambridge, Massachusetts, Jul 2009.

  19. J. Das, and G. Sukhatme, ”A Robotic Sentinel for Benthic Sampling along a Transect”, In IEEE International Conference on Robotics and Automation, pp. 206 - 213 , May 2009.

  20. R. Smith, B. Stauffer, J. Das, H. Heidarsson, A. de Menezes Pereira, Y. Chao, L. Darjany, I. Cetinic, D. Estrin, C. Oberg, M. Ragan, B. Jones, G. Sukhatme, and D. Caron, “Design and Implementation of Sensor Networks for the Observation and Research of Harmful Algal Blooms in Southern California Coastal Waters”, In Proceedings of the Conference on Coastal Environmental Sensing Networks, pp. 5-7, Boston, MA, Jul 2009.

  21. M. Gupta, J. Das, M. Vieira, H. Heidarsson, H. Vathsangam, and G. Sukhatme, ”Collective Transport of Robots: Emergent Flocking from Minimalist Multi-robot Leader-following”, In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009.

  22. F. Arrichiello, D. Liu, S. Yerramalli, A. de Menezes Pereira, J. Das, U. Mitra, and G. Sukhatme, ”Effects of underwater communication constraints on the control of marine robot teams”, In International Conference on Robot Communication and Coordination, Odense, Denmark, Mar 2009

Patents

  1. Systems, Devices, and Methods for Robotic Remote Sensing for Precision Agriculture, V.Kumar, G. Cross, C. Qu, J. Das, A. Makineni, Y. Mulgaonkar (US20170372137).
  2. Systems, Devices, and Methods for Agricultural Sample Collection. D. Orol, L. Vacek, D. Kaufman, J. Das & V. Kumar; (US patent filed, May 2018).
Fall 2019
Course NumberCourse Title
SES 130Coding for Exploration
CSE 599Thesis
SES 792Research
Spring 2019
Course NumberCourse Title
SES 494Special Topics
SES 598Special Topics
SES 792Research
Fall 2018
Course NumberCourse Title
SES 792Research
Service

Reviewing: NSF panel, NIFA ad-hoc panel, IEEE Transactions on Robotics, Journal of Field Robotics, Autonomous Robots, IEEE Journal of Oceanic Engineering, IEEE International Conference on Robotics and Automation, IEEE/RSJ International Conference on Intelligent Robots and Systems, Robotics Science and Systems, AAAI Conference on Artificial Intelligence, International Symposium on Experimental Robotics, Symposium on Distributed Autonomous Robotic Systems.

Program Committee Member: Associate Editor of IEEE International Conference on Robotics and Automation (ICRA) 2016 and 2017, International Symposium on Experimental Robotics (ISER) 2014, AAAI Conference on Artificial Intelligence 2014, AAAI Conference on Artificial In- telligence 2015, Robotics Sciences and Systems (RSS) 2015, International Joint Conference on Artificial Intelligence (IJCAI) 2016.

Editorial: Guest Editor of Journal of Field Robotics (JFR) Special Issue on Agricultural Robotics, 2017.

Industry Positions

Software Developer, ThoughtWorks Inc., July 2004 — July 2006

  • Designed and developed large-scale distributed enterprise applications using agile methodologies.