Raju Gottumukkala

Publications


Journals & Patents

    • In Review

  1. Hosseini S, Katragadda S, Bhupatiraju RT, Ashkar Z, Borst CW, Cochran K, *Gottumukkala R. EmpaticSchool: A multi‑modal data‑set for real‑time facial expressions and physiological data analysis under different stress condition. (under review by Nature Scientific Data), Submitted September 2021

  2. Jian Chen; Raju Gottumukkala; Mas Iwan Konggidinata, *Gottumukkala R. Assessing Hydrometeorological Hazards Vulnerability for Louisiana, USA. . (Journal of Coastal Conservation), Submitted September 2022

  3. Gottumukkala R, Kamal, A. Katragadda S, Alessandros I *Gottumukkala R. Multi‑modal localization and tracking of mobiledevices in indoor environment with Bluetoothand video streams Submitted April 2022

    • Published

  1. Hosseini, M., Maida, A. S., Hosseini, M., & *Gottumukkala, R. . Video Frame Prediction using Inception Recurrent Neural Networks, preprint available at: https://arxiv.org/pdf/1909.05622.pdf Accepted by Springer Nature Computer Science

  2. Amarasiri, N., Barhorst, A. A., and Gottumukkala, R. (September 21, 2022). ”ROBUST DYNAMIC MODELING AND TRAJECTORY TRACKING CONTROLLER OF A UNIVERSAL OMNI WHEELED MOBILE ROBOT.” ASME. Letters Dyn. Sys. Control. doi: https://doi.org/10.1115/1.4055690 [IF 1.37]

  3. Katragadda, S., *Gottumukkala R., R. Bhupatiraju, V. Raghavan, and Z. Ashkar, COVID 19: Examining the case growth rate due to Visitor vs Local Mobility using Machine Learning: A Study in the United States (under review by Springer International Journal of Health Geographics) submitted June 2021 [IF 4.9]

  4. Veerendra Kumar, D.J.; Deville, L.; Ritter, K.A., III; Raush, J.R.; Ferdowsi, F.; Gottumukkala, R.; Chambers, T.L. Performance Evaluation of 1.1 MW Grid Connected Solar Photovoltaic Power Plant in Louisiana. Energies 2022, 15, 3420. https://doi.org/10.3390/en15093420 [IF 3.0]

  5. M. R. Alam, M. H. Najafi, N. TaheriNejad, M. Imani and R. Gottumukkala, ”Stochastic Computing In Beyond Von Neumann Era: Processing Bit Streams In Memristive Memory,” in IEEE Transactions on Circuits and Systems II: Express Briefs, doi: 10.1109/TCSII.2022.3161995. [IF 3.6]

  6. Hosseini, S., Gottumukkala, R., Katragadda, S. et al. A multimodal sensor dataset for continuous stress detection of nurses in a hospital. Sci Data 9, 255 (2022). https://doi.org/10.1038/s41597 022 01361 y [IF 6.44]

  7. A. J. Abianeh, M. M. Mardani, F. Ferdowsi, R. Gottumukkala and T. Dragičević, ”Cyber Resilient Sliding Mode Consensus Secondary Control Scheme for Islanded AC Microgrids,” in IEEE Transactions on Power Electronics, vol. 37, no. 5, pp. 6074 6089, May 2022, doi: 10.1109/TPEL.2021.3125985. [IF 6.6]

  8. Katragadda, S., *Gottumukkala, R., R., Bhupatiraju, R.T. et al. Association mining based approach to analyze COVID 19 response and case growth in the United States. Sci Rep 11, 18635 (2021). www.nature.com/articles/s41598 021 96912 5, https://doi.org/10.1038/s41598 021 96912 5 [IF 4.38]

  9. *Gottumukkala, R., Katragadda, S., Bhupatiraju, R.T. et al. Exploring the relationship between mobility and COVID−19 infection rates for the second peak in the United States using phase wise association. BMC Public Health 21, 1669 (2021) https://doi.org/10.1186/s12889 021 11657 0 [IF 2.837]

  10. Venna SR, Katragadda S, Raghavan V, *Gottumukkala R. River Stage Forecasting using Enhanced Partial Correlation Graph, Springer Water Resources Management. 2021 Sep 8:1 6. https://doi.org/10.1007/s11269 021 02933 0 [IF 3.5]

  11. *Gottumukkala, R., Beling, P. Introduction to the Special Issue on Data Enabled Discovery for Industrial Cyber Physical Systems, Springer Data Enabled Discov. Appl. 4, 10 (2020). https://doi.org/10.1007/s41688 020 00046 y

  12. Katragadda, S., Darby, P. J., Roche, A., & *Gottumukkala, R. (2020). Detecting Low Rate Replay Based Injection Attacks on In Vehicle Networks. IEEE Access, 8, 54979 54993. doi: 10.1109/ACCESS.2020.2980523.[IF 3.4]

  13. Hosseini, M., Katragadda, S., Wojtkiewicz, J., *Gottumukkala, R., Maida, A., & Chambers, T. L. (2020). Direct normal irradiance forecasting using multivariate gated recurrent units. Energies, 13(15), 3914. [IF 2.6]

  14. Cao, G., Iosifidis, A., *Gabbouj, M., Raghavan, V., & Gottumukkala, R. (2019). Deep multi view learning to rank. IEEE Transactions on Knowledge and Data Engineering [IF 4.09]

  15. Wojtkiewicz, J., Hosseini, M., *Gottumukkala, R., & Chambers, T. L. (2019). Hour ahead solar irradiance forecasting using multivariate gated recurrent units. Energies, 12(21), 4055. [IF 2.6]

  16. Venna, S. R., Tavanaei, A., *Gottumukkala, R. N., Raghavan, V. V., Maida, A. S.,& Nichols, S. (2018). A novel data driven model for real time influenza forecasting. IEEE Access, 7, 7691 7701. [IF 3.4]

  17. Siva R. Venna, Raju, N., Gottumukkala, Vijay V. Raghavan (2016). Visual Analytic Decision Making Environments for Large Scale Time Evolving Graphs. Cognitive Computing: Theory and Applications 1st Ed. Elsevier.

  18. *Gottumukkala, R. N., Venna, S. R., & Raghavan, V. (2015). Visual Analytics of Time Evolving Large scale Graphs. IEEE Intelligent. Informatics Bull., 16(1), 10 16

  19. Katz, D. S., Allen, G., Cortez, R., Cruz Neira, C., *Gottumukkala, R., Greenwood, Z. D., ... & Whittenburg, S. (2009). Louisiana: A model for advancing regional e research through cyberinfrastructure. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 367(1897), 2459 2469. [IF 4.2]

  20. *Gottumukkala, N. R., Nassar, R., Paun, M., Leangsuksun, C. B., & Scott, S. L. (2009). Reliability of a system of k nodes for high performance computing applications. IEEE Transactions on Reliability, 59(1), 162 169. [IF 3.5]

  21. Engelmann, C. S. L. Scott, D. E. Bernholdt, *N. R., Gottumukkala, C. B. Leangsuksun, J. Varma, C. Wang, F. Mueller, A. G. Shet, P. Sadayappan. “MOLAR: Adaptive Runtime Support for High End Computing Operating and Runtime Systems, ACM SIGOPS Operating Systems Review” Volume 40, Issue 2, pp. 63 72, 2006.[IMPACT FACTOR: 3.94]

  22. Sun, T., J. Walker, S. Revankar, *N. R., Gottumukkala. “Workflow Auto Generation from User Constraints and Hierarchical Dependence Graphs for Workflows”, Awarded US Patent No 7580911, Issued 25 August 2009.

  23. Sun, Tong, *Raju, N., Gottumukkala, and Michael David Shepherd. ”Validation and analysis of JDF workflows using colored petri nets.” U.S. Patent No. 7,734,492. 8 Jun. 2010.


    Peer Reviewed Conference Publications

  1. Hosseini, M., Maida, A. S., Hosseini, M., & R. Gottumukkala. (2019). Inception‑inspired LSTM for Next‑frame Video Prediction” 34th AAAI Conference on Artificial Intelligence, New York, New York.

  2. Katragadda, S., Gottumukkala, R., Venna, S., Lipari, N., Gaikwad, S., Pusala, M., ... & Bayoumi, M. (2019). VAStream: A Visual Analytics System for Fast Data Streams. In Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning) (pp. 1‑8)

  3. Zobaed, S. M., Ahmad, S., Gottumukkala, R., & Salehi, M. A. 2019.,”Clustcrypt: Privacy‑preserving clustering of unstructured big data in the cloud” . IEEE International Conference on High Performance Computing and Communications, (HPCC’19).

  4. Zobaed, S. M., Raju Gottumukkala, and Mohsen Amini Salehi. 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS): IEEE.

  5. Paul Darby, Raju Gottumukkala. Decentralized Computing Techniques in Support of Cyber‑Physical Security for Electric and Autonomous Vehicles, Accepted at the IEEE Greentech Conference, April 3rd to 6th.

  6. Raju Gottumukkala, Rizwan Merchant, Andrew Roche, Kaleb Leon, Adam Tauzin, Paul Darby. ”Cyber‑physical System Security of Vehicle Charging Stations”, IEEE Greentech Conference, April 3rd to 6th .

  7. Chalgham, Wadie, Diaconeasa, Mihai, Gottumukkala, Raju, and Seibi, Abdennour. ”A Numerical and Experimental Study Supporting a Methodology for Live Monitoring, Leak Detection, and Automatic Response in Water Pipelines.” Proceedings of the ASME 2019 International Mechanical Engineering Congress and Exposition. Volume 13: Safety Engineering, Risk, and Reliability Analysis. Salt Lake City, Utah, USA. November 11–14, 2019. V013T13A018.

  8. Paul Darby, Raju Gottumukkala, Decentralized Computing Techniques in Support of Cyber‑Physical Security for Electric and Autonomous Vehicles, Accepted at the IEEE Greentech Conference, April 3rd to 6th

  9. Jessica Wojkiewicz, Satya Katragadda, Raju Gottumukkala, A Concept‑Drift Based Predictive‑Analytics Framework: Application for Real‑Time Solar Irradiance Forecasting, Poster Paper, 2018 IEEE International Conference on Big Data.

  10. Satya, Katragadda, Raju Gottumukkala, Murali Pusala, Vijay Raghavan, Jessica Wojkiewicz, Distributed Real Time Link Prediction on Graph Streams, 3rd IEEE Workshop on Real‑time and Stream Analytics in Big Data & Stream Data Management, IEEE Big Data 2018

  11. Hosseini, M., Salehi, M. A.,& Gottumukkala, R. (2017, December). Enabling interactive video streaming for public safety monitoring through batch scheduling. In 2017 IEEE 19th International Conference on High Performance Computing and Communications; IEEE 15th International Conference on Smart City; IEEE 3rd International Conference on Data Science and Systems (HPCC/SmartCity/DSS) (pp. 474‑481).IEEE.

  12. Amirhossein Tavanaei, Raju Gottumukkala, Vijay Raghavan, Anthony Maida, Unsupervised Rank Aggregation using Parameterized Function Optimization, 2018 IEEE International Joint Conference on Neural Networks.

  13. Shailendra Gaikwad, Sana Tafleen, Raju Gottumukkala, Khalid Elgazzar, Fault Tolerance of Real‑time Video Streaming Protocols over SDN Networks”, 14th International Wireless Communications & Mobile Computing Conference (IWCMC).

  14. Jessica Wojkiewicz, Satya Katragadda, Raju Gottumukkala, A Concept‑Drift Based Predictive‑Analytics Framework: Application for Real‑Time Solar Irradiance Forecasting, Poster Paper, 2018 IEEE International Conference on Big Data

  15. Pusala, M. K., Benton, R. G., Raghavan, V. V., & Gottumukkala, R. N. (2017, November). Supervised approach to rank predicted links using interestingness measures. In Bioinformatics and Biomedicine (BIBM), 2017 IEEE International Conference on (pp. 1085‑1092). IEEE

  16. Raju Gottumukkala, John Zachary, Baker Kearfott, Ramesh Kolluru, “Real‑Time Information Driven Decision Support System for Evacuation Planning”, 2012 IEEE International Multi‑Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, March 6‑8 2012, New Orleans, LA, USA,

  17. Raju Gottumukkala, John Zachary, Baker Kearfott, Ramesh Kolluru, “Real‑Time Information Driven Decision Support System for Evacuation Planning”, 2012 IEEE International Multi‑Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, March 6‑8 2012, New Orleans, LA, USA.

  18. Haochun Zhang, Raju Gottumukkala, Baker Kearfott, Ramesh Kolluru, “A Multi‑Objective Mixed Optimization Model for POD to Distribute Emergency Supplies”, Institute for Operations Research and the Management Sciences (INFORMS) 2010 Conference, November 2010.

  19. N. Raju Gottumukkala, Box Leangsuksun, Raja Nassar, Mihaela Paun, Dileep Sule, “Reliability Aware Optimal‑K Node allocation of parallel applications in large scale HPC systems”, High Availability and Performance Computing Workshop (HAPCW 2008), Denver, Colorado.

  20. Gottumukkala, N. R., C. Leangsuksun, T. Narate, R. Nassar, S.L. Scott. “Reliability‑Aware Resource Allocation in HPC Systems”, Proceedings of the IEEE International Conference on Cluster Computing 2007, Austin, Texas

  21. N. Raju, Gottumukkala, Y. Liu, C. B. Leangsuksun, R. Nassar, and S. L Scott, Reliability analysis of HPC clusters, Proceedings of the High Availability and Performance Computing Workshop

  22. N. R. Gottumukkala, C. Leangsuksun, and S. L. Scott. Reliability‑aware approach to improve job completion time for large‑scale parallel applications. In Proceedings of 2nd Workshop on High Performance Computing Reliability Issues (HPCRI) 2006, Austin, TX, USA, February 11‑15, 2006.

  23. Song, H., Leangsuksun, C, Nassar, R., N. Raju, Gottumukkala, Scott, S., Availability modeling and analysis on high performance cluster computing. In Proceedings of the First International Conference on Systems, Availability, Reliability and Security, 2006

  24. Gottumukkala, N. R., T. Sun: “Modeling and Assessment of Production Printing Workflows Using Petri Nets”, International Conference on Business Process Management, pp. 319‑333, 2005.

  25. Hertong Song, Chokchai B. Leangsuksun, N. R Gottumukkala, Raja Nassar, Stephen L. Scott, and Andy Yoo, ”Near‑Real‑time Availability Monitoring and Modeling for HPC/HEC runtime systems”, Los Alamos Computer Science Institute (LACSI) Symposium, 2005