Krishna Pattipati Publications

 

Book Chapter

  1. A. Abdollahi, K. R. Pattipati, P. B. Luh, A. Kodali, S. Singh, S. Zhang, and P.B. Luh, “Probabilistic Graphical Models for Fault Diagnosis in Complex Systems”, in Lance Fiondella  and  Antonio Puliafito (Eds. ) Book in honor of Prof. K.S. Trivedi’s 70th birthday, Springer, June 2016, pp. 109-139.

Journal Papers

  1. X. Han, H. Bui, S. Mandal, K.R. Pattipati and D.L. Kleinman, “Optimization-based Decision Support Software for Team-in-the-loop Experiment – MOC-1: Asset Package Selection and Planning,” IEEE Trans. on SMC: Part A – , Vol. 43, No. 2, pp. 237-251, March 2013.
  2. A. Kodali, S. Singh, K. Pattipati, “Dynamic set-covering for real-time multiple fault diagnosis with delayed test outcomes,” IEEE Trans. on SMC: Part A, Vol. 43, No.3, pp. 547-562, May 2013.
  3. A. Kodali, K. Pattipati and S. Singh, “A Coupled Factorial Hidden Markov Model (CFHMM) for Diagnosing Coupled Faults” IEEE Trans. on SMC: Part A, Vol.43, No. 3, pp. 522-534, May 2013.
  4. A. Kodali, Y. Zhang, C. Sankavaram, K.R. Pattipati and M. Salman, “Fault Diagnosis in Automotive Electric Power Generation and Storage System (EPGS),” IEEE/ASME Trans. On Mechatronic Systems, Vol. 18, No. 6, pp. 1809-1818, December 2013.
  5. B. Pattipati, C. Sankavaram, K.R. Pattipati, Y. Zhng, M. Howell and M. Salman, “Multiple Model Moving Horizon Estimation Approach to Prognostics in Coupled Systems,” IEEE Aerospace and Electronic Systems Magazine, Vol. 28, No. 3, pp. 4-12, March 2013.  
  6. D. F. Crouse, R.W. Osborne III, K.R. Pattipati, P.K. Willett, and Y. Bar-Shalom, “Efficient 2D Sensor Location Estimation Using Targets of Opportunity,” Journal of Advances in Information Fusion, Vol. 8, No., 1, June 2013.
  7. S. Zhang, K.R. Pattipati, Z. Hu, X.Wen, and C. Sankavaram, “Dynamic Coupled Fault Diagnosis with Propagation and Observation Delays,” IEEE Transactions on Systems, Man and Cybernetics, part A – Systems, Vol. 43, No. 6, pp. 1370-1384, Nov. 2013.
  8. S. Zhang, K.R. Pattipati, Z. Hu, X. Wen, “Optimal Selection of Imperfect Tests for Fault Detection and Isolation,” IEEE Transactions on Systems, Man and Cybernetics, part A – Systems, Vol. 43, No. 6, pp. 1424-1439, Nov. 2013.
  9. Y. Song, B. Wang, Z. Shi, K. R. Pattipati and S. Gupta, “Distributed Algorithms for Energy-Efficient Even Self-Deployment in Mobile Sensor Networks”, IEEE Transactions on Mobile Computing, Early Access Articles, April 2013.
  10. X. Han, S. Mandal, K. R. Pattipati, D. L. Kleinman, and M. Mishra, “An Optimization-based Multi-Agent Distributed Planning Algorithm: A Blackboard-Based Collaborative Framework,” IEEE Trans. On SMC: Part A – Systems, Vol. 44, No. 6, pp. 673-686, June 2014.
  11. X. Han, M. Mishra, S. Mandal, H. Bui, D. F. M. Ayala, D. Sidoti, K.R. Pattipati and D.L. Kleinman, “Optimization-based Decision Support Software for Team-in-the-Loop Experiment: Multi-level Asset Allocation,” IEEE Transactions on SMC: Systems, vol. 44, no. 8, pp. 1098-1112, August, 2014.
  12. C. Sankavaram, B. Pattipati, K. Pattipati, Y. Zhang, and M. Howell, “Fault Diagnosis in Hybrid Electric Vehicle Regenerative Braking System,” IEEE Access, vol. 2, pp. 1225-1239, October, 2014.
  13. B. Pattipati, B. Balasingam, G. Avvari, K. Pattipati and Y. Bar-Shalom, “Open circuit voltage characterization of Lithium-ion batteries,” Journal of Power Sources, vol. 269, pp. 317–333, December, 2014.
  14. B. Balasingam, B. Pattipati, G. Avvari, K. Pattipati and Y. Bar-Shalom, “A robust approach to battery fuel gauging, Part II: Real time capacity estimation,” Journal of Power Sources, vol. 269, pp. 949–961, December, 2014.
  15. B. Balasingam, B. Pattipati, G. Avvari, K. Pattipati and Y. Bar-Shalom, “A robust approach to battery fuel gauging, Part I: Real time model identification,” Journal of Power Sources, vol. 272, pp. 1142–1153, December, 2014.
  16. G. Avvari, B. Balasingam, K. Pattipati and Y. Bar-Shalom, “ A battery chemistry-adaptive fuel gauge using probabilistic data association,” Journal of Power Sources, vol. 273, pp. 185–195, December, 2014.
  17. B. Balasingam, G. Avvari, K. Pattipati and Y. Bar-Shalom, “Performance analysis results of a BFG algorithm at multiple temperatures,” Journal of Power Sources, vol. 273, pp. 742–753, January, 2015.
  18. A. Abdollahi, X. Han, G.V. Avvari, N. Raghunathan, B. Balasingam, K.R. Pattipati, Y. Bar-Shalom, Optimal battery charging, Part I: Minimizing time-to-charge, energy loss, and temperature rise for OCV-resistance battery model, Journal of Power Sources, Volume 303, 30 January 2016, Pages 388–398
  19. C. Sankavaram, A. Kodali, K. Pattipati, and S. Singh, “Incremental Classifiers for Data-driven Fault Diagnosis Applied to Automotive Systems”, in IEEE Access, pp.1-12, April, 2015. 10.1109/ACCESS.2015.2422833
  20. G. Avvari, B. Pattipati, B. Balasingam, K. Pattipati and Y. Bar-Shalom, “Battery fuel gauge validation on portable li-ion battery cells,” Applied Energy, December 2015.
  21. C. Zhao, K.R. Pattipati, G. Liu, J. Qiu, K. Lv and T. Li, “A Markov Chain-Based Testability Growth Model with a Cost-Benefit Function,” IEEE Trans. On Systems, Man, and Cybernetics: Systems, Vol. 46, No. 4, pp. 512-523, April 2016.
  22. C. Sankavaram, K. Pattipati, S. Singh, Y. Zhang, and M. Salman, “An Inference-based Prognostic Framework for Health Management of Automotive Systems,” Accepted for publication in International Journal of Prognostics and Health Management, June 2016.
  23. D. Sidoti, G. V. Avvari, M. Mishra, L. Zhang, B. Nadella, J. A. Hansen, and K. R. Pattipati, “A Multi-Objective Path Planning Algorithm with Time Windows for Asset Routing in a Dynamic Weather-Impacted Environment,” IEEE Transactions on Systems, Man and Cybernetics: Systems, June 2016, DOI: 10.1109/TSMC.2016.2573271.
  24. D. Belfadel, R. Osborne III, Y.  Bar-Shalom, and K. Pattipati, “Space Based Sensor Bias Estimation in the Presence of Data Association Uncertainty,” Journal of Advancements in Information Fusion, in press, May 2016.
  25. D. Pasupuleti, P. Mannaru, B. Balasingam, M. Baum, K. R. Pattipati, P. Willett, C. Lintz, G. Commeau, F. Dorigo, and J. Fahrny, “Cognitive Video Streaming,” Journal of Advancements in Information Fusion, In press, July 2016.

Conference Papers

  1. C. Sankavaram, A. Kodali, and K. R. Pattipati, “An Integrated Health Management Process for Automotive Cyber-Physical Systems”, IEEE ICNC 2013 International Workshop on Cyber-Physical Systems (CPS), San Diego, CA, January 2013.
  2. D. Sidoti, D. F. Martinez Ayala, X. Han, M. Mishra, S. Sankavaram, W. An, K. R. Pattipati, and D. L. Kleinman, “Evaluating the Value of Information in the Presence of High Uncertainty,” 18th International Command and Control Research and Technology Symposium, Washington, DC, June 2013.
  3. G. Levchuk, and K. R. Pattipati, “Design of Distributed Command and Control for Collaborative Situation Assessment”, 18th International Command and Control Research and Technology Symposium, Washington, DC, June 2013.
  4. N. Najjar, J. Hare, A. Silva, S. Gupta, G. Leaper, K.R. Pattipati, R. Walthall and P. O’rlando, “Heat Exchanger Fouling Diagnosis for an Aircraft Air-conditioning System,” SAE 2013 Aerospace Electronics and Avionics Systems Conference, Montreal, Quebec, Sept. 2013.
  5. B. Pattipati, K.R. Pattipati, Y. Ghoneim, M. Howell and M. Salman, “Electronic Returnless Fuel System Fault Diagnosis and Isolation: A Data-Driven Approach”, 2013 Annual Conference on PHM, New Orleans, LA, October 2013.
  6. M. Mishra, W. An, X. Han, D. M. F. Ayala, D. Sidoti, K. R. Pattipati, “Multi-Objective Coordinated Path Planning within a Dynamic Environment”, 4th IEEE International Advanced Computing Conference, New Delhi, India, February, 2014.
  7. M. Mishra, W. An, X. Han, D. M. F. Ayala, D. Sidoti, K. R. Pattipati, “Multi-Objective Coordinated Path Planning for a Team of UAV’s within a Dynamic Environment”, 19th International Command and Control Research and Technology Symposium, Virginia, USA, June, 2014.
  8. B. Pattipati, B. Balasingam, G. V. Avvari, K. Pattipati, and Y. Bar-Shalom “A Normalized Approach to Open Circuit Voltage Characterization of Lithium-ion Batteries,” International Conference on Renewable Energy Research and Applications, pp. 116- 121, July 2014.
  9. B. Pattipati, B. Balasingam, A. Abdollahi, G. V. Avvari, K. R. Pattipati, and Y. Bar-Shalom, “Integrated Battery Fuel Gauge and Optimal Charger,” IEEE Autotest Conference,pp.260-269, July 2014.
  10. B. Balasingam, S. Sankavaram, K. Choi, D. F. M. Ayala, D. Sidoti, K. R. Pattipati, P. Willett, C. Lintz, G. Commeau, F. Dorigo and J. Fahrny, “Online anomaly detection in big data,” 15th International Conference on Information Fusion, pp. 1- 8, July 2014.
  11. Y. Yan, P. B. Luh and K. R. Pattipati, “Fault Diagnosis Framework  for Air Handling Units based on Integration of Dependency Models and PCA,” IEEE Conference on Automation Science and Engineering, pp. 1103-1108, September, 2014.
  12. C. X. Zhao, K. R. Pattipati, J. Qiu, G. J. Liu and K. H. Lv, “A testability growth model and its application,” IEEE Autotest Conference, pp. 121- 128, September, 2014.
  13. B. Pattipati, B. Balasingam, A. Abdollahi, G. V. Avvari, K. R. Pattipati and Y. Bar-Shalom “Integrated battery fuel gauge and optimal charger,” IEEE Autotest Conference, pp. 260- 269, September, 2014.
  14. B. Balasingam, B. Pattipati, G. V. Avvari, K. Pattipati and Y. Bar-Shalom, “Robust battery fuel gauge algorithm development, Part 3: State of charge tracking,” International Conference on Renewable Energy Research and Applications, pp. 110- 115, October, 2014.
  15. B. Balasingam, B. Pattipati, G. V. Avvari, K. Pattipati and Y. Bar-Shalom, “Robust battery fuel gauge algorithm development, Part 2: Online battery-capacity estimation,” International Conference on Renewable Energy Research and Applications, pp. 104- 109, October, 2014.
  16. B. Balasingam, B. Pattipati, G. V. Avvari, K. Pattipati and Y. Bar-Shalom, “Robust battery fuel gauge algorithm development, Part 1: Online parameter estimation,” International Conference on Renewable Energy Research and Applications, pp. 98- 103, October, 2014.
  17. B. Pattipati, B. Balasingam, G. V. Avvari, K. Pattipati and Y. Bar-Shalom, “Robust battery fuel gauge algorithm development, Part 0: Normalized OCV modeling approach,” International Conference on Renewable Energy Research and Applications, pp. 116 – 121, October, 2014.
  18. M. Mishra, W. An, X. Han, D. Sidoti, D. F. M. Ayala and K. R. Pattipati, “Decision Support System for ASW Mission Planning within a Dynamic and Uncertain Mission Environment,” IEEE International Conference on Systems, Man and Cybernetics, pp. 3390-3393, San Diego, CA, October, 2014.
  19. D. Sidoti, D. F. M. Ayala, S. Sankavaram, X. Han, M. Mishra, W. An, D. Kellmeyer, J. Hansen, and K. R. Pattipati, “Decision support information integration platform for context-driven interdiction operations in counter-smuggling missions,” 2014 IEEE/SICE International Symposium on System Integration, pp. 659–664, Tokyo, Japan, December, 2014.
  20. D. M. F. Ayala, D. Sidoti, M. Mishra, X. Han, and K. R. Pattipati, “Context-based Models to Overcome Operational Challenges in Maritime Security,” IEEE Symposium on Technologies for Homeland Security, April, 2015.
  21. B. Balasingam, K. R. Pattipati, G. Levchuck and J. C. Romano, “Robust collaborative learning by multi-agents,” IEEE Symposium on Computational Intelligence for Security and Defense Applications (IEEE CISDA 2015), Verona, NY, May 2015.
  22. G. V. Avvari, D. Sidoti, M. Mishra, L. Zhang, B. K. Nadella and K. R. Pattipati. “Dynamic Asset Allocation for Counter Smuggling Operations Under Disconnected, Intermittent and Low-Bandwidth Environment,” IEEE Symposium on Computational Intelligence for Security and Defense Applications (IEEE CISDA 2015), Verona, NY, May 2015.
  23. M. Mishra, D. Sidoti, D. F. M. Ayala, G. V. Avvari, X. Han, W. An, L. Zhang, K. R. Pattipati and J. Hansen, “Dynamic Resource Management and Information Integration for Proactive Decision Support and Planning,” Fusion 2015, July, 2015.
  24. D. Pasupuleti, P. Mannaru, B. Balasingam, M. Baum, K. R. Pattipati, P. Willett, C. Lintz, G. Commeau, F. Dorigo, and J. Fahrny, “Online Playtime Prediction for Cognitive Video Streaming,” Fusion 2015, July 2015.
  25. D. Pasupuleti, P. Mannaru, B. Balasingam, M. Baum, K. R. Pattipati, and P. Willett, “Cognitive Video Streaming,” IEEE International Conference EEECOS, March 2015.
  26. A. Abdollahi, N. Raghunathan, X. Han, G. V. Avvari, B. Balasingam, K. R. Pattipati and Y. Bar-Shalom, “Battery Charging Optimization for OCV-Resistance Equivalent Circuit Model,”  American Control Conference, pp. 3467-3472, 2015.
  27. A. A. Farhan, K. R. Pattipati, B. Wang, and P. B. Luh, “Predicting Individual Thermal Comfort using Machine Learning Algorithms,” IEEE Conference on Automation Science and Engineering, August 2015.
  28. Y. Yan, P. B. Luh and K. R. Pattipati, “A Fault Diagnosis Method for HVAC Air Handling Units Considering Fault Propagation,” IEEE Conference on Automation Science and Engineering, August, 2015.
  29. A. Abdollahi, N. Raghunathan, X. Han, B. Pattipati, B. Balasingam, K. R. Pattipati, Y. Bar-Shalom, and B. Card. “Battery health degradation and optimal life management.” in IEEE Autotestcon, pp. 146-151, 2015.
  30. B. Nadella, G. V. Avvari, A. Kumar, M. Mishra, D. Sidoti, C. Sibley and K. R. Pattipati, “Dynamic Routing of Unmanned Aerial Vehicles in Uncertain Mission Environment”, in IEEE Aerospace Conference, March 2016.
  31. B. Balasingam, K. Pattipati, and Y. Bar-Shalom, “Algorithms for Advanced Battery Management System Design”, 47th Power Sources Conference, June 2016
  32. B. Balasingam, M. Baum, D. Pasupuleti, P. Mannaru, K. R. Pattipati, P. Willett, C. Lintz, G. Commeau adn F. Dorigo, and J. Fahrny, “Playtime prediction of video streams using nonlinear regression and feature selection,” IEEE International Conference on Information Fusion, July, 2015.
  33. C. Sibley, J. Coyne, G.V. Avvari, M. Mishra, and K. R. Pattipati, “Supporting Multi-Objective Decision Making within a Supervisory Control Environment” Human Computer Interaction International, Toronto, Canada, July 2016.
  34. L. Zhang, D. Sidoti, K. R. Pattipati, and D. Castanon, “Approaches for Solving m-best 3-Dimensional Dynamic Scheduling Problems for Large m,” International Conference on Information Fusion, July, 2016. Winner of Best Student Paper Award.
  35. P. Mannaru, B. Balasingam, K. Pattipati, C. Sibley and J. Coyne, “On the use of hidden Markov models for eye-gaze pattern modeling and classification,” SPIE Conferences on Defense, Security, and Sensing, April 2016.
  36. P. Mannaru, B. Balasingam, K. Pattipati, C. Sibley and J. Coyne, “Cognitive context detection in UAS operators using gaze patterns,” SPIE Conferences on Defense, Security, and Sensing, April 2016.
  37. P. Mannaru, B. Balasingam, K. Pattipati, C. Sibley and J. Coyne, “Cognitive context detection in UAS operators using pupillary measurements,” SPIE Conferences on Defense, Security, and Sensing, April 2016.
  38. P. Mannaru, B. Balasingam, K. Pattipati, C. Sibley and J. Coyne, “Human-machine system improvement through cognitive context detection,” Annual Meeting of the Human Factors and Ergonomics Society, Oct. 2016.
  39. R. Ghimire, K. R. Pattipati and P. B. Luh, “Fault diagnosis and augmented reality (AR)-based guided troubleshooting of HVAC systems”, IEEE Autotestcon, Anaheim, California, 2016.
  40. H. Ravichandar, A, Kumar, A. Dani and K.R. Pattipati, “Learning and Predicting Sequential Tasks using Recurrent Neural Networks and Multiple Model Filtering,” AAAI-FSS 2016, Shared Autonomy in Research and Practice, Washington, DC, 2016.