Publications

Refereed publications

  1. T.L.D.e. Souza, C.M. Ranieri, A. Panangadan, J. Ueyama, and M. Nishijima. "Is a poster a strong signal of film quality? evaluating the predictive power of visual elements using deep learning." Multimedia Tools and Applications, 2024.  https://doi.org/10.1007/s11042-024-20174-2Opens in new window
  2. B. F. Henwood, J. Coutin, T. Z. Nobari, K. George, and A. Panangadan. "Examining the potential use of technology in permanent supportive housing." Journal of Social Distress and Homelessness, 2024. pp. 1–8. https://doi.org/10.1080/10530789.2024.2342050Opens in new window
  3. G. Ruiz, S. C. Kilambi, P. Soni, K. George, and A. Panangadan. "Design of a Multisensor System for a Smart Cooking Assistant." In IEEE International Conference on Artificial Intelligence x Medicine, Health, and Care (AIMHC). IEEE, 2024. [PDFPDF File ]
  4. V. Peddisetti, P. K. Kandregula, J. A. John, S. Poomdla, K. George, and A. Panangadan. "Smart Medication Management: Enhancing Medication Adherence with an IoT-based Pill Dispenser and Smart Cup." In IEEE International Conference on Artificial Intelligence x Medicine, Health, and Care (AIMHC). IEEE, 2024. [PDFPDF File ]
  5. S. R. Minera, A. Nuerbiya, A. Espinoza, K. George, and A. Panangadan. "Smart Cup for a Smart Pill Dispenser for Verification of Pill Consumption." In 2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC). IEEE, 2023. [HTMLOpens in new window ]
  6. S. R. Minera, A. Nuerbiya, A. Espinoza, K. George, and A. Panangadan. "Smart Pill Dispenser with Smart Cup." In 2023 IEEE World AI IoT Congress (AIIoT). IEEE, 2023. [HTMLOpens in new window ]
  7. B. Chenze, E. Lee, and A. Panangadan. "Iterative Approach for Novel Entity Recognition of Foods in Social Media Messages." In 2022 IEEE 23rd International Conference on Information Reuse and Integration for Data Science (IRI), pp. 126-131. IEEE, 2022. [PDFPDF File ]
  8. V. Tran and A. Panangadan. "Few-shot Time-Series Forecasting with Application for Vehicular Traffic Flow." In 2022 IEEE 23rd International Conference on Information Reuse and Integration for Data Science (IRI), pp. 20-26. IEEE, 2022. [PDFPDF File ] [code]
  9. F.X. Liri, H. Lin, K.J. Lee, B. Fonseca, N. Ruppert, K. George, and A. Panangadan. "Real-Time Dynamic Object Recognition and Grasp Detection for Robotic Arm Using Streaming Video: A Design for Visually Impaired Persons”, IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2021.
  10. R. Natharani, F.X. Liri, J. Samawi, H. Lin, N. Ruppert, K.J. Lee, K. George, and A. Panangadan. "Voice Controlled Object Grasping Robotic Arm for Visually Impaired Disabled Veterans,” 2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), pp. 1-6. IEEE, 2021.
  11. R. Bagwe, R. Natharani, K. George, and A. Panangadan, "Natural Language Controlled Real-Time Object Recognition Framework for Household Robot." In 2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC), pp. 1215-1220. IEEE, 2021.
  12. E. Lee, B. Chenze, and A. Panangadan. "Encouraging Sustainability Practices through Entity Recognition of Food Items on Social Media." In 2021 IEEE 22nd International Conference on Information Reuse and Integration for Data Science (IRI), pp. 263-266. IEEE, 2021.
  13. M. H. Heydary  and A. Panangadan, Optimization framework and clustering-based algorithm for energy-aware adaptive sensing, Engineering Applications of Artificial Intelligence, 95 October 2020, 103841 (4), pp. 103841, 2020.
  14. A.J. McEligot, V. Poynor, R. Sharma, and A. Panangadan, Logistic LASSO Regression for Dietary Intakes and Breast Cancer. Nutrients 2020, 12, 2652.
  15. M. Diaz and A. Panangadan, "Natural Language-based Integration of Online Review Datasets for Identification of Sex Trafficking Businesses", IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI), 2020.
  16. M. H. Heydary, P. Pimpale, and A. Panangadan, "Automatic identification of use of public transportation from mobile sensor Data", IEEE Green Technologies Conference (GreenTech), Austin, Texas, 2018.
  17. P. Pimpale, A. Panangadan, and L. Abellera, "Analyzing spread of influence in social networks for transportation applications", 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, USA, 2018.
  18. G. Kulkarni, L. Abellera, and A. Panangadan, "Unsupervised classification of online community input to advance transportation services", 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, USA, 2018.
  19. N. Bichu and A. Panangadan, "Analyzing social media communications for correlation with freeway vehicular traffic", IEEE First International Conference on Smart City Innovations (SCI 2017), Fremont, California, 2017.
  20. S. Ricardo, D. Bein, and A. Panangadan, "Low-cost real-time obstacle avoidance for mobile robots", IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC). Las Vegas, USA, 2017.
  21. G. Giancristofaro and A. Panangadan, "Predicting Sentiment toward Transportation in Social Media Using Visual and Textual Features", 19th IEEE Intelligent Transportation Systems Conference. Rio de Janeiro, Brazil, 2016.
  22. L. Hao, A. Panangadan and L. Abellera, "Understanding Public Sentiment toward I-710 Corridor Project from Social Media Based on Natural Language Processing", 19th IEEE Intelligent Transportation Systems Conference. Rio de Janeiro, Brazil, 2016.
  23. O. Patri, A. Panangadan, V. S. Sorathia, and Viktor K. Prasanna, Sensors to Events: Semantic Modeling and Recognition of Events from Data Streams, International Journal of Semantic Computing, 10(4), pp. 461-501, 2016.
  24. V. Zois, A. Panangadan and V. K. Prasanna, "Accelerating Support Count for Association Rule Mining on GPUs", ParLearning - Parallel & Distributed Processing Symposium Workshops (IPDPSW), 2016 IEEE International. IEEE, Chicago, USA, 2016.
  25. G. Harris, A. Panangadan and V. K. Prasanna, "PRIMER - A Regression-Rule Learning System for Intervention Optimization", 10th International Web Rule Symposium (RuleML), 2016, Stony Brook University, USA, 2016.
  26. O. Patri, R. Kannan, A. Panangadan and V. K. Prasanna, "Multivariate Time Series Classification Using Inter-leaved Shapelets", NIPS Time Series Workshop, Neural Information Processing Systems (NIPS 2015), Montreal, Canada, 2015. [PDFPDF File Opens in new window ]
  27. Y. Zhang, A. Panangadan and V. K. Prasanna, "UFOMQ: An Algorithm for Querying for Similar Individuals in Heterogeneous Ontologies", 17th International Conference on Big Data Analytics and Knowledge Discovery (DaWak), Valencia, Spain, 2015.
  28. C. Shang, A. Panangadan and V. K. Prasanna, "Event Extraction from Unstructured Text Data", 26th International Conference on Database and Expert Systems Applications (DEXA), Valencia, Spain, 2015.
  29. Y. Zhang, A. Panangadan and V. K. Prasanna, "Integration of Heterogeneous Web Services for Event-based Social Networks", 16th IEEE International Conference on Information Reuse and Integration (IEEE IRI), San Francisco, California, 2015.
  30. C. M. Cheung, Y. Zhang, A. Panangadan and V. K. Prasanna, "Computational Cost of Querying for Related Entities in Different Ontologies", 16th IEEE International Conference on Information Reuse and Integration (IEEE IRI), San Francisco, California, 2015.
  31. O. Patri, K. Singh, P. Szekely, A. Panangadan and V. K. Prasanna, "Personalized Trip Planning by Integrating Multimodal User-generated Content", 9th IEEE International Conference on Semantic Computing (IEEE ICSC), Anaheim, California, 2015.
  32. S. Singapura, A. Panangadan, and V. K. Prasanna, "Performance Modeling of Matrix Multiplication on 3D Memory Integrated FPGA",  22nd Reconfigurable Architectures Workshop (RAW), 29th Annual International Parallel & Distributed Processing Symposium (IPDPS), Hyderabad, India, May 29, 2015.
  33.  S. Singapura, A. Panangadan, and V. K. Prasanna, "Towards Performance Modeling of 3D Memory Integrated FPGA Architectures", 11th International Symposium on Applied Reconfigurable Computing (ARC), Bochum, Germany, April 13-17, 2015.
  34.  G. Harris, A. Panangadan, and V. K. Prasanna, "Learning of Performance Measures from Crowd-sourced Data with Application to Ranking of Investments", to appear in The 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Ho Chi Minh City, Vietnam, May 19-22, 2015.
  35.  Y. Zhang, A. Panangadan, and V. K. Prasanna, "FP-CPNNQ: A Filter-Based Protocol for Continuous Probabilistic Nearest Neighbor Query",  20th International Conference on Database Systems for Advanced Applications (DASFAA), Hanoi, Vietnam, April 20-23, 2015.
  36.  O. Patri, A. Sharma, H. Chen, G. Jiang, A. Panangadan, and V. K. Prasanna, "Extracting discriminative shapelets from heterogeneous sensor data", IEEE International Conference on Big Data (IEEE BigData), Washington DC, October 2014. [PDF]
  37.  G. Harris, A. Panangadan and V. K. Prasanna, "Interactive query refinement for Boolean search", Semantic Analysis of Documents Workshop (SemADoc 2014), ACM Symposium on Document Engineering, Fort Collins, Colorado, September 2014. [PDF]
  38.  Y. Zhang, A. Panangadan and V. K. Prasanna, "UFOM: Unified fuzzy ontology matching", IEEE International Conference on Information Reuse and Integration (IRI 2014), San Francisco, California, August 2014. [PDF]
  39.  G. Harris, A. Panangadan and V. K. Prasanna, "Peer review in online forums: classifying feedback-sentiment", IEEE International Conference on Information Reuse and Integration (IRI 2014), San Francisco, California, August 2014. [PDF]
  40.  O. Patri, A. Panangadan, C. Chelmis and V. K. Prasanna, "Extracting discriminative features for event-based electricity disaggregation", 2nd IEEE Conference on Technologies for Sustainability (SusTech), Portland, Oregon, August 2014. [PDF]
  41.  O. Patri, V. Sorathia, A. Panangadan and V. K. Prasanna, "The Process-oriented Event Model (PoEM) – a conceptual model for industrial events", 8th ACM International Conference on Distributed Event-Based Systems (DEBS 2014), Mumbai, India, 2014. [PDF]
  42.  H. Chu, Y. Xia, A. Panangadan and V. K. Prasanna, "Wait-free primitives for initializing Bayesian network structure learning on multicore processors", The 3rd International Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics (ParLearning), 28th IEEE International Parallel and Distributed Processing Symposium (IPDPS), Phoenix, Arizona, May 2014. [PDF]
  43.  O. Patri, A. Panangadan, V. Sorathia and V. K. Prasanna, "Semantic management of enterprise integration patterns: a use case in Smart Grids", 10th Workshop on Information Integration on the Web (IIWeb 2014), 30th IEEE International Conference on Data Engineering (ICDE), Chicago, USA, March 31-April 4, 2014. [PDF]
  44.  A. Panangadan, S. Monacos, S. Burleigh, J. Joswig, M. James, E. Chow, A. Talukder and K. Chu, "A system to provide real-time collaborative situational awareness by Web enabling a distributed sensor network", International Workshop on Sensor Web Enablement (SWE), 20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Redondo Beach, California, November 6, 2012. [PDF]
  45.  A. Talukder and A. Panangadan, "Extreme event detection and assimilation from multimedia sources", Multimedia Tools and Applications, May 2012. [Springer link]
  46.  A. Panangadan and A. Talukder, "Interleaving wavelet coefficients for adaptive data transmission from pervasive sensing systems", International Conference on Computer Communication Networks (ICCCN), Maui, Hawaii, 31 July – 4 August, 2011. [PDF]
  47.  S. Liu, A. Panangadan, C. S. Raghavendra, and A. Talukder, "Learning a policy for coordinated sampling in Body Sensor Networks", Body Sensor Networks (BSN), Dallas, 23 – 25 May, 2011. [PDF]
  48.  S. Liu, A. Panangadan, C. S. Raghavendra, and A. Talukder, "Machine learning for automatic patient monitoring and prioritization using body sensor network systems", accepted to 18th Medicine Meets Virtual Reality International Conference (MMVR 18), Newport Beach, California, February 8-12, 2011.
  49.  A. Talukder, A. Panangadan, N. Georgas, T. Herrington, and A. F. Blumberg, "Integrated operational control of unattended distributed coastal sensor web systems with mobile autonomous robots", Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, 3(4), pp. 442-450, 2010. [PDF]
  50.  S. Liu, A. Panangadan, C. S. Raghavendra, and A. Talukder, "Compact representation of coordinated sampling policies for body sensor networks", Workshop on Advances in Communication and Networks (Smart Homes for Tele-Health), IEEE Global Communication Conference (GlobeCom), Miami, Florida, December 6-10, 2010. [PDF]
  51.  K. B. Cooper, R. J. Dengler, N. Llombart, A. Talukder, A. Panangadan, C.S. Peay, I. Mehdi and P. H. Siegel, "Fast high-resolution terahertz radar imaging at 25 meters", SPIE Defense, Security, and Sensing, International Society for Optics and Photonics, 2010. pp. 76710Y-76710Y. [PDF]
  52.  A. Panangadan and A. Talukder, "A variant of particle filtering using historic datasets for tracking complex geospatial phenomena", 18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, San Jose, November 2-5, 2010. [PDF]
  53.  A. Panangadan , M. Mataric and G. Sukhatme, "Tracking and Modeling of Human Activity using Laser Rangefinders". International Journal of Social Robotics, 2(1), pages 95-107, 2010. [Details]
  54.  A. Panangadan, S-S. Ho , and A. Talukder, "Cyclone tracking using multiple satellite image sources", 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Seattle, November 4-6, 2009. [PDF]
  55.  S. Liu and A. Panangadan, "Evaluation of a Markov Decision Process-based Coordinated Sampling Method", Workshop on Sensor Networks for Earth and Space Science Applications, 8th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), San Francisco, California, April 16, 2009. [PDF]
  56.  S. Liu, A. Panangadan, C. S. Raghavendra, and A. Talukder, "Poster abstract: MDP Framework for Sensor Network Coordination", 8th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), San Francisco, California, April 13-16, 2009. [PDF]
  57.  A. Talukder, and A. Panangadan, "Online visualization of adaptive distributed sensor webs". IEEE Aerospace Conference, Big Sky, Montana, March 7-14, 2009. [PDF]
  58.  A. Panangadan, and M. G. Dyer, "Construction in a Simulated Environment using Temporal Goal Sequencing and Reinforcement Learning". Adaptive Behavior, 17(1), pp. 81-104, 2009. [PDF]
  59.  A. Talukder, A. Panangadan, A.F. Blumberg, T. Herrington, and N. Georgas, "Improving the Forecast Accuracy of an Ocean Observation and Prediction System by Adaptive Control of the Sensor Network", Eos Trans. AGU, 89(53), Fall Meet. Suppl., Abstract IN31A-1120, 2008. [Abstract]
  60.  A. Talukder, A. Panangadan, A. Blumberg, T. Herrington, and N. Georgias, "Improving the science return from coastal sensor webs using autonomous predictive control and resource management". Eighth Annual Earth Science Technology Conference, University of Maryland, June 24-26, 2008. [PDF]
  61.  A. Talukder, A. Panangadan, T. Herrington, A. Blumberg, and N. Georgias, "Autonomous adaptive resource management in sensor network systems for environmental monitoring". IEEE Aerospace Conference, Big Sky, Montana, 1-8 March, 2008. [PDF]
  62.  M. Venugopal, K.E. Feuvrel, D. Mongin, S. Bambot, M. Faupel, A. Panangadan, A. Talukder, R. Pidva. "Clinical evaluation of a novel interstitial fluid sensor system for remote continuous alcohol monitoring", IEEE Sensors Journal, 8(1) pages 71-80, 2008. [PDF]
  63.  A. Talukder, S. Ali, A. Panangadan, and L. Chandramouli, "Predictive controller for heterogeneous sensor network operation in dynamic environments". In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE Press, pp. 1133-1139, 2005. [PDF]
  64.  A. Panangadan , M. Ali and A. Talukder, "Markov decision processes for control of a sensor network- based health monitoring system". In Proceedings of the Seventeenth Conference on Innovative Applications of Artificial Intelligence, AAAI Press, Menlo Park, Calif., pp. 1529-1534, 2005. [PDF]
  65.  A. Talukder, S. Ali, A. Panangadan, C. Jadhav, R. Pidva, R. Bhatt, L. Chandramouli, and S. Monacos, "Optimal server scheduling and power management in sensor networks". In Optical Pattern Recognition XVI, Proceedings of SPIE, vol. 5816, pp. 221-232, 2005. [PDF]
  66.  A. Panangadan , M. Mataric and G. Sukhatme, "Identifying human interactions in indoor environments". In Proceedings of the Third International Joint Conference on Autonomous Agents and Multi-Agent Systems, IEEE Computer Society, pp. 1308-1309, 2004. (Details)
  67.  A. Panangadan , M. Mataric and G. Sukhatme, "Detecting anomalous human interactions using laser range-finders". In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE Press, pp. 2136-2141, 2004. (Details)
  68.  A. Panangadan and M.G. Dyer, "Learning spatial and temporal correlation for navigation in a 2-dimensional continuous world". In Proceedings of the 19th International Conference on Machine Learning (ICML), Morgan Kaufmann, pp. 474-481, 2002. [ PDF ]
  69.  Anand Panangadan and M. G. Dyer. "Goal sequencing for construction agents in a simulated environment". In Proceedings of the International Conference on Artificial Neural Networks (ICANN), Springer, pp. 969-974, 2002. [ PDF ]
  70.  A. Panangadan and M. G. Dyer, "Learning social behaviors without sensing". In From Animals to Animats 7: Proceedings of the 7th International Conference on Simulation of Adaptive Behavior, Bradford Book/MIT Press, pp. 387-388, 2002. [ PDF ]
     (an expanded version of this poster is in the dissertation)
  71.  A. Panangadan and M. G. Dyer, "Construction by autonomous agents in a simulated environment". In Proceedings of the International Conference On Artificial Neural Networks (ICANN), Springer, pp. 963-970, 2001. [ PDF ]
  72.  G. Chao, A. Panangadan and M. G. Dyer, "Learning to integrate reactive and planning behaviors for construction". In From Animals to Animats 6: Proceedings of the 6th International Conference on Simulation of Adaptive Behavior, Bradford Book/MIT Press, pp. 167-176, 2000. [ PDF ] 

Non-refereed publications

  1. C. M. Cheung, P. Goyal, G. Harris, O. Patri, A. Panangadan, C. Chelmis, R. McKee, M. Theron, T. Nemeth, and V. K. Prasanna, Rapid Data Integration and Analysis for Upstream Oil and Gas Applications. SPE Annual Technical Conference and Exhibition (ATCE), September 2015, Houston, TX, USA, 2015
  2. O. Patri, N. Reyna, A. Panangadan, and V. K. Prasanna, "Predicting Compressor Valve Failures from Multi-Sensor Data", to appear in 2015 SPE Western Regional Meeting (SPE WRM), Garden Grove, California, April 27-30, 2015.
  3.  O. Patri, A. Panangadan, C. Chelmis, R. McKee and V. K. Prasanna, "Predicting failures from oilfield sensor data using time series shapelets", 91st Society of Petroleum Engineers Annual Technical Conference and Exhibition (SPE ATCE), Amsterdam, October 2014. [PDF]
  4. A. Panangadan, and G. Sukhatme, "Data segmentation for region detection in a sensor network". CRES Technical Report 05-005, University of Southern California, 2005. [ PDF]
  5. A. Panangadan, "Construction using autonomous agents in a simulated environment". Ph.D. Thesis, University of California, Los Angeles, 2002 [PDFPDF File ] 

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