Jason T Isaacs

Associate Professor of Computer Science

Publications

JOURNAL PUBLICATIONS

  1. J.T. Isaacs, K. Knoedler, A. Herdering, M. Beylik, and H. Quintero.Teleoperation for Urban Search and Rescue Applications. Field Robotics, 2, 1177-1190, June 2022.
  2. A. S. Crunchant, J. T. Isaacs, and A. K. Piel. Localizing Wild Chimpanzees with Passive Acoustics. Ecology and Evolution, 12, e8902. [ PDF ]
  3. D. Copp, J. T. Isaacs, and J. P. Hespanha.  Programming, Robotics, and Control for High School Students.  ASEE Advances in Engineering Education, 9(1), April 2021.  [ PDF ]
  4. D. J. Klein, S. Venkateswaran, J. T. Isaacs, T. Pham, J. Burman, J. P. Hespanha, and U. Madhow.  Localization with Sparse Acoustic Sensor Network using UAVs as Information-Seeking Data Mules.  ACM Transactions on Sensor Networks, 9(3), August 2013.  [ PDF ]
  5. J. T. Isaacs, J. P. Hespanha. Dubins Traveling Salesman with Neighborhoods: A Graph-Based Approach. Algorithms, 6(1): 84-99, February 2013.  [ PDF ]
  6. C.E. Laird, B.A. Harmon, C. A. Wilson, D. L. Hunter, and J. T. Isaacs.  Low Energy Response Calibration of the BATSE Large Area Detectors Onboard the Compton Observatory.  Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 566(2):  433-441, October 2006.  [ PDF ]

CONFERENCE PUBLICATIONS

  1. S. Schmidt, B. Thoms, E. Erylimaz, J.T. Isaacs, Classifying Vaccine Misinformation in Online Social Media Videos using Natural Language Processing and Machine Learning, Accepted to 57th Hawaii International Conference on System Sciences, HICSS-57, January 2024.
  2. M. Shariff, B. Thoms, J. T. Isaacs, and V. Vakilian. Approaches in Fake News Detection: An Evaluation of Natural Language Processing and Machine Learning Techniques on the Reddit Social Network. In Proceedings of the 8th International Conference on Data Mining and Applications, DMA 2022, May 2022.
  3. A. Bharaswadkar, V. Vakilian, B. Thoms, and J. T. Isaacs. Congestion Strategies for Clustered Central Place Foraging. In Proceedings of the IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2021, April 2021. [ PDF ]
  4. A. Herdering, H. Quintero, S. Centento, M. Beylik, and J. T. Isaacs. Deep Reinforcement Learning for Autonomous Search. In Proceedings of the 2021 Computer Science Conference for CSU Undergraduates, March 2021. [ PDF ]
  5. P. Chavan, B. Thoms, and J. T. Isaacs. A Recommender System for a Healthy Food Choices: Building a Hybrid Model for Recipe Recommendations using Big Data Sets. In Proceedings of the 54th Hawaii International Conference on System Sciences, HICCS-54, January 2021. [ PDF ]
  6. J. T. Isaacs, N. Dolan-Stern, M. Getzinger, E. Warner, A. Venegas, and A. Sanchez. Central Place Foraging: Delivery Lanes, Recruitment and Site Fidelity. In Proceedings of the IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2020, April 2020. [ PDF ]
  7. M. Shah, G. Dilly, K. Meeker, and J. T. Isaacs. Quantifying Intertidal Zone Species Using Semantic Segmentation. In Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2018, December 2018. [ PDF ]
  8. M. U’Ren and J. T. Isaacs. Obstacle Detection and Traversal with Noisy Range Sensors. In Proceedings of the IEEE SoutheastCon 2018, April 2018. [ PDF ]
  9. N. Dolan-Stern, K. Scrivnor, and J. T. Isaacs. Multimodal Central Place Foraging. In Proceedings of the 2nd IEEE International Conference on Robotic Computing (IRC 2018), January 2018. [ PDF ]
  10. J. T. Isaacs, K. O. Ezal, and J. P. Hespanha. Local Carrier-Based Precision Approach and Landing System. In Proceedings of the 55th IEEE Conference on Decision and Control, December 2016. [ PDF ]
  11. A. T. Irish, D. Iland, J. T. Isaacs, J. P. Hespanha, E. M. Belding, and U. Madhow. Demo: ShadowMaps, The Urban Phone Tracking System. In Proceedings of the 20th annual International Conference on Mobile Computing and Networking, MobiCom, September 2014. [ PDF ]
  12. A. T. Irish, D. Iland, J. T. Isaacs, J. P. Hespanha, E. M. Belding, and U. Madhow. Using crowdsourced satellite SNR measurements for 3D mapping and real-time GNSS positioning improvement. In Proceedings of the 6th annual workshop on Wireless of the students, by the students, for the students, September 2014. [ PDF ]
  13. J. T. Isaacs, F. Quitin, L. R. Garcia Carrillo, U. Madhow, and J. P. Hespanha. Quadrotor Control for RF Source Localization and Tracking. In Proceedings of the 2014 International Conference on Unmanned Aircraft Systems, May 2014. [ PDF ]
  14. J. T. Isaacs, C. Magee, A. Subbaraman, F. Quitin, K. Fregene, U. Madhow, and J. P. Hespanha. GPS-Optimal Micro Air Vehicle Navigation in Degraded Environments.  In Proceedings of the 2014 American Control Conference, June 2014. [ PDF ]
  15. A. T. Irish, J. T. Isaacs, U. Madhow, and J. P. Hespanha. Belief Propagation Based Localization and Mapping Using Sparsely Sampled GNSS SNR Measurements. In Proceedings of the 2014 IEEE International Conference on Robotics and Automation, June 2014. [ PDF ]
  16. J. T. Isaacs, A. T. Irish, F. Quitin, U. Madhow, and J. P. Hespanha. Bayesian Localization and Mapping Using GNSS SNR Measurements. In Proceedings of the IEEE/ION Position Location and Navigation Symposium, May 2014. [ PDF ]
  17. A. T. Irish, F. Quitin, J. T. Isaacs, J. P. Hespanha, U. Madhow. Probabilistic 3D Mapping Based on GNSS SNR Measurements. In Proceedings of the 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2014. [ PDF ]
  18. S. Venkateswaran, J. T. Isaacs, K. Fregene, R. Ratmansky, B. M. Sadler, J. P. Hespanha, and U. Madhow. RF Source-Seeking by a Micro Aerial Vehicle using Rotation-Based Angle of Arrival Estimates. In Proceedings of the 2013 American Control Conference, June 2013. [ PDF ]
  19. J. T. Isaacs, S. Venkateswaran, J. P. Hespanha, U. Madhow, J. Burman, T. Pham.  Multiple Event Localization in a Sparse Acoustic Sensor Network Using UAVs as Data Mules.  In Proceedings of the 3rd International Workshop on Wireless Networking & Control for Unmanned Autonomous Vehicles: Architectures, Protocols and Applications, December 2012.  [ PDF ]
  20. J. T. Isaacs, D. J. Klein, and J. P. Hespanha.  A Guided Internship For High School Students Using iRobot Create.  In Proceedings of the 18th IFAC World Congress, September 2011.  [ PDF ]
  21. J. T. Isaacs, D. J. Klein, and J. P. Hespanha.  Algorithms for the Traveling Salesman Problem with Neighborhoods Involving a Dubins Vehicle.  In Proceedings of the 2011 American Control Conference, July 2011. [ PDF ]
  22. D. J. Klein, J. J. Schweikl, J. T. Isaacs, and J. P. Hespanha.  On UAV Routing Protocols for Sparse Sensor Data Exfiltration.  In Proceedings of the 2010 American Control Conference, June 2010. [ PDF ]
  23. J. T. Isaacs, D. J. Klein, and J. P. Hespanha.  Optimal Sensor Placement For Time Difference of Arrival Localization.  In Proceedings of the 48th IEEE Conference on Decision and Control, December 2009.  [ PDF ]

BOOK CHAPTERS

  1. A. S. Crunchant, C. D. Nakka, J. T. Isaacs, A. K. Piel. Acoustic sensors. Conservation Technology, 2021. [ Preview ]

UNITED STATES PATENTS

  1. A. T. Irish, J. T. Isaacs, and U. Madhow. System and method for localization and tracking using GNSS location estimates, satellite snr data and 3D maps. US Patent Number US-10656282-B2, May 2020.[ PDF ]
  2. A. T. Irish, J. T. Isaacs, F. Quitin, J. P. Hespanha, U. Madhow. Systems and methods for gnss snr probabilistic localization and 3-d mapping. US Patent Number US-10495464-B2, December 2019.[ PDF ]