1. Al Salour, D. Trimble, J. Sarangapani, and E. Taqieddin*, "Ultra-lightweight Mutual Authentication Protocol with Substitution Operation”, US Patent No. 10198605, February 5, 2019.  (Cybersecurity jointly filed with Boeing)
  2. Jagannathan Sarangapani, M. Zawoniok, Vivek Thotla*, T. Ghasr, and Jake Hertenstein, “Electronic Device Detection Systems and Method”, US Patent No. 9689964B2, June 27, 2017.  (Explosive threat detection)
  3. Jagannathan Sarangapani, A. Ramachandran*, C. Saygin, and K. Cha*, “Decentralized Radio Frequency Identification System”, US Patent No. 8143996B2, March 27, 2012.
  4. Mehraeen* and J. Sarangapani, “System and method for harvesting energy from environmental energy", US Patent 8,129,887B2, March 6, 2012.  (8 to 10 times more energy than commercially available hardware at the time of evaluation)
  5. Jagannathan Sarangapani, A. Ramachandran, C. Saygin, and K. Cha, "Adaptive Inventory Management System", US Patent No. 7752089B2, July 2010.
  6. S. Jagannathan and S.K. Rangarajan, "A Method to Predict Severity of a Trend toward an Impending machine Failure and Responding to the Same", US Patent No. 6,442,511, August 2002.
  7. S.R. Rangarajan, and S. Jagannathan, "Method and Apparatus for Predicting a Fault Condition using Nonlinear Curve Fitting Techniques", US Patent No. 6,363,332, March 26, 2002.
  8. S. Jagannathan, "Apparatus and Method for Diagnosing an Engine Using Computer-Based Models in Combination with a Neural Network", US Patent No. 6,240,343, May 29, 2001.
  9. S. Jagannathan, "A Method for Determining a Desired Response to Detection of an Obstacle", US Patent No 6,173,215, January 2001.
  10. S. Jagannathan, "Energy-Based Approach for Obstacle Avoidance", US Patent No. 6,134,502, Oct. 17, 2000.
  11. S. Jagannathan, "Method and Apparatus of Predicting a Fault Condition", US Patent No. 6,119,074, Sep. 12, 2000.
  12. S. Jagannathan and D.R. Schricker, "Apparatus and Method for Diagnosing an Engine Using an Exhaust Temperature Model", US Patent No. 6,092,016, July 18, 2000.
  13. S. Jagannathan and C. A. Kemner, "Method and Apparatus for Determining an Alternate path in Response to Detection of An Obstacle", US Patent No. 60,64,926, May 16, 2000.
  14. S. Jagannathan and F.L.Lewis, \"Discrete-Time Neural Network Tuning of a Class of Nonlinear Dynamical Systems\", The Univ. of Texas, US Patent No. 6,064,997, May 16, 2000.
  15. S. Jagannathan, "Method and Apparatus for Detecting Obstacles Using Multiple Sensors for Range Selective Detection", US Patent No. 6,055,042, April 25, 2000.
  16. S. Jagannathan, "Method for Determining the Condition of Engine Oil based on TBN Modeling", US Patent 5,987,976, November 23, 1999.
  17. S. Jagannathan and D. R. Schricker, \"Method and Apparatus for Predicting a Fault Condition\", Caterpillar Inc., US Patent No. 5,950,147, September 7, 99.
  18. C. Kemner, C. Khoerson, and S. Jagannathan, "System and Method for Managing a Fleet of Mobile Machines for Dumping at a Plurality of Dump Points", US Patent No. 5,931,875, August 3, 99.
  19. S. Jagannathan et al., "Automated Systems-Automated Loader System", Defensive Publication, Research Disclosure Technology Journal, Pub. No. 42368, July 99.
  20. S. Jagannathan, D. R. Schricker, and Trent Simpson, "Method for Determining the Condition of Engine Oil based on Soot Modeling", US Patent No. 5,914,890, June 22, 1999.
  21. S. Jagannathan, "Method and Apparatus for Determining a Path for a Machine between a Predetermined Route and a Final Position", US Patent No. 5,752,207, May 12, 98.
  22. D.R. Schricker, S. Jagannathan, D. G. Young, Satish M. Shetty, "Method and Apparatus for Comparing Machines in Fleet", US Patent No. 5,737,215, April 7, 98.
    1. H. Ferdowsi*, Jia Cai*, and S. Jagannathan, “Adaptive fault estimation and accommodation for distributed parameter systems with coupled parabolic partial differential equations”, Journal of Control and Decision, pp. 1-16, 2024. https://doi.org/10.1080/23307706.2024.2388560.
    2. H. Ferdowsi*, Jia Cai*, and S. Jagannathan, “Adaptive resilient control of a class of nonlinear distributed parameter systems with actuator faults”, Systems Science and Control Engineering, vol. 12, no. 1, pp. 1-13, 2024.
    3. H. Ferdowsi*, Jia Cai*, and S. Jagannathan, “Filter-based detection and isolation in distributed parameter systems modeled by parabolic differential equations”, IEEE Access, vol. 11, pp. 45011-45027, 2023, https://doi.org/10.1109/ACCESS.2023.3268702.
    4. H. Ferdowsi*, Jia Cai*, and S. Jagannathan, “Actuator and sensor fault detection and failure prediction for systems with multi-dimensional nonlinear partial differential equations”, International Journal of Control, Automation, and Systems, http://dx.doi.org/10.1007/s12555-019-0622-3, Springer, vol. 20, no. 3, pp. 789-802, 2022.
    5. Haifeng Niu*, C. Bhowmick*, and S. Jagannathan, “Attack detection and approximation in nonlinear networked control systems using neural networks”, IEEE Transactions on Neural Networks and Learning Systems, Vol. 31, No. 1, pp. 235-245, January 2020. (Learning Control System with Adversaries and Mitigation)
    6. Haifeng Niu*, A. Sahoo*, C. Bhowmick* and S. Jagannathan, “An optimal hybrid learning approach for attack detection in linear networked control systems”, IEEE CAA Automatica Sinica, vol.6, no. 6, pp. 1404-1416, November 2019.
    7. Hasan Ferdowsi* and S. Jagannathan, “Fault diagnosis of distributed parameter systems modeled by linear parabolic partial differential equations with state faults, ASME Journal of Dyn. Sys., Meas., Control, vol. 140, no. 1, pp. 011010-1-011010-6, January 2018.
    8. H. Ferdowsi* and S. Jagannathan, “Decentralized fault diagnosis and prognosis scheme for interconnected nonlinear discrete-time systems,” International Journal of Prognostics and Health Management (IJPHM), vol. 8, pp. 1-15, 2017.
    9. H. Ferdowsi* and S. Jagannathan, “Decentralized fault tolerant control of a class of nonlinear interconnected systems”, International Journal of Control, Automation, and Systems, vol. 15, no. 2, pp. 527-536, 2017.
    10. Jia Cai*, H. Ferdowsi* and S. Jagannathan, “Model-based fault detection, estimation and prediction for a class of linear one-dimensional PDE”, Automatica, vol. 66, pp. 122-131, March 2016.
    11. Haifeng Niu* and S. Jagannathan, “Optimal defense and control of dynamic systems modeled as cyber-physical systems”, Journal of Defense Modeling and Simulation, (invited paper) 12, no. 4, pp. 423-438, 2015.
    12. Balaje Thumati*, Miles Fienstein and S. Jagannathan, “A model-based fault prognostics scheme for Takagi-Sugeno systems”, IEEE Transactions on Fuzzy Systems, vol. 22, no. 4, pp. 736-748, June 2014.
    13. Balaje Thumati* and S. Jagannathan, “A model-based fault prognostics scheme for uncertain nonlinear discrete-time systems with multiple distinct faults”, Transactions of the Institute of Measurement and Control, UK, Vol. 36, no.4, pp. 445-464, May 2014.
    14. Ferdowsi*, S. Jagannathan, and M. Zawodniok, “An online outlier identification and removal scheme for improving fault detection performance”, IEEE Transactions on Neural Networks and Learning Systems, vol. 25, no. 5, pp. 908-919, May 2014.
    15. Ferdowsi* and S. Jagannathan, “A unified model-based fault diagnosis scheme for nonlinear discrete-time systems with additive and multiplicative faults”, Transactions of the Institute of Measurement and Control, pp. 452-462, vol. 35, no. 6, August 2013.
    16. T. Thumati*, G. Halligan* and S. Jagannathan, “A novel fault diagnostics and prognostics scheme using a nonlinear observer with artificial immune system as an online approximator”, IEEE Transactions on Control Systems Technology, vol. 21, no. 3, pp. 569-578, May 2013.
    17. Soylemezoglu*, S. Jagannathan and C. Saygin, “Mahalanobis-Taguchi system as a multi-sensor based-decision making prognostics tool for centrifugal pump failures”, IEEE Transactions on Reliability, vol.60, no.4, pp.864-878, December 2011.
    18. Gary Halligan* and S. Jagannathan, “PCA-based fault isolation and prognostics with application to pump”, International Journal of Advanced Manufacturing Technology, vol. 55, no. 5, pp. 699-707, 2011.
    19. Soylemezoglu*, S. Jagannathan, and C. Saygin, “Mahalanobis-Taguchi-System as a prognostics tool for rolling element bearing failures”, ASME Journal of Manufacturing Science and Engineering, vol. 132, no. 5, Oct 2010.
    20. B. Thumati and S. Jagannathan, "A model-based fault detection and prediction scheme for nonlinear multivariable discrete-time systems with asymptotic stability guarantees", IEEE Transactions on Neural Networks, vol. 21, no.3, pp. 404-423, March 2010.
    21. C. Saygin, Deepak Mohan, and S. Jagannathan, "Real-time detection of grip length deviation during fastening of bolted joints: A Mahalanobis-Taguchi System (MTS) based approach", Journal of Intelligent Manufacturing, vol. 21, no. 4, pp. 377-392, 2010.
    22. B. Thumati and S. Jagannathan, "A robust fault detection and prognostics scheme for nonlinear discrete time input-output systems", International Journal of Computational Intelligence in Control, vol. 2, no. 1, pp.71-83, December 2009.
    23. Deepak Mohan, C. Saygin, and S. Jagannathan, "Real-time detection of grip length deviation during pull-type fastening: A Mahalanobis-Taguchi System (MTS) based approach", International Journal of Manufacturing Technology, vol.39, No.9-10, pp. 995-1008, November 2008.
    24. Reghu Anguswamy, C. Saygin, and S. Jagannathan, "In-process detection of fastener grip length using embedded mobile wireless sensor network-based pull type tools", International Journal of Manufacturing Technologies and Special Issue on Advanced Manufacturing Technologies, vol. 4, no.2, pp. 154-170, 2009.
    25. Deepak Mohan, C. Saygin, and S. Jagannathan, "Real-time detection of grip length deviation during pull-type fastening: A Mahalanobis-Taguchi System (MTS) based approach", International Journal of Manufacturing Technology, vol.39, No.9-10, pp. 995-1008, November 2008.

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        1. H. Ferdowsi*, J. Cai* and S. Jagannathan, “Fault detection and estimation for a class of nonlinear distributed parameter systems”, Proc. of the International Conference on Prognostics and Health Management, pp. 1-8, June 2019.
        2. Jia Cai*, Hasan Ferdowsi*, and S. Jagannathan, “Model-based actuator fault accommodation for distributed parameter systems represented by coupled linear PDEs”, Proc. of the IEEE Multi-Conference on Systems and Control, pp. 978-983, Sept. 2015.
        3. Jia Cai*, Hasan Ferdowsi*, and S. Jagannathan, “Model-based fault diagnosis and prediction for a class of distributed parameter systems“, Proc. of the IEEE Conference on Decision and Control, pp. 5758-5763, Dec 2014.
        4. B. Thumati*, and S. Jagannathan, “A fault prediction scheme for Takagi-Sugeno fuzzy systems with immeasurable premise variables and disturbance”, Proc. of the IEEE Conference on Decision and Control, pp. 6758-6763, Dec 2014.
        5. B. Talaei*, Hao Xu*, and S. Jagannathan, “Neural network-based near optimal constrained control of distributed parameter systems with application to diffusion-reaction processes,” Proc. of the IEEE Multi Conference on Systems and Control, pp. 1861-1866, Oct. 2014.
        6. Hasan Ferdowsi* and S. Jagannathan, “Fault diagnosis of a class of distributed parameter systems modeled by parabolic partial differential equations”, Proc. of the American Controls Conference, pp. 5434-5439, June 2014.
        7. Hasan Ferdowsi*, S. Jagannathan and M. Zawodniok*, “A neural network-based outlier identification and removal scheme”, Proc. of the IEEE International Conference on Prognostics and Health Management, pp. 1-6, June 2013.
        8. Hasan Ferdowsi*, S. Jagannathan and M. Zawodniok*, “Neural network-based fault detection and accommodation scheme for distributed systems”, of the IEEE International Conference on Prognostics and Health Management, pp. 1-6, June 2013.
        9. Hasan Ferdowsi*, Deepthi S. L. Raja* and S. Jagannathan, “A decentralized fault detection and prediction scheme for nonlinear interconnected continuous-time systems”, of the International Joint Conference on Neural Networks, pp. 791-797, June 10-15, Brisbane, Australia, 2012.
        10. Hasan Ferdowsi*, Deepthi. L. Raja* and S. Jagannathan, “Decentralized fault prognosis scheme for nonlinear interconnected discrete-time systems”, of the American Controls Conference, pp. 5900-5905, Montreal, Canada, 2012.

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