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IRI Publications

Researchers

Bhupatiraju, Ravi Teja, MBBS, PhD

Chu, Henry, PhD.

Gottumukkala. Raju, PhD.

Guidry, Alicia, PhD.

Hosseini, Majid

Kolluru, Ramesh, PhD

Lakhotia, Arun, PhD.

Rizk, Frederic, PhD

Sanchez, Angie V., MD, MPH

Strother, Shannon, PhD

Wilson, Gabriela, PhD

Zhang, Yihe, PhD

 

Patents, Publications, and Conference Papers

Henry Chu, PhD

  • A Unified Approach for Binary-Class and Multi-Class Data Augmented Generation. Frederic Rizk; Rodrigue Rizk; Dominick Rizk; Patrick Rizk; Chee-Hung Henry Chu . 2024 IEEE Conference on Artificial Intelligence (CAI) Year: 2024 | Conference Paper | Publisher: IEEE
  • Hasan, Rashida & Chu, Chee-Hung. (2024). A Heterogeneous Ensemble Method for Handling Class Noise in Supervised Machine Learning. 902-909. 10.1145/3605098.3635936.
  • F. Rizk, R. Rizk, D. Rizk and C.-H. H. Chu, "MAGAN: A meta-analysis for generative adversarial networks’ latent space", Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2023), pp. 488-494, 2023.
  • Gottumukkala, Raju & Katragadda, Satya & Bhupatiraju, Ravi & Kamal, Azmyin & Raghavan, Vijay & Chu, Chee-Hung & Kolluru, Ramesh & Ashkar, ziad maurice. (2021). Correction to: 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. 10.1186/s12889-021-11904-4.
  • "A New Shadow Removal Method for Color Images" written by Qiang He, Chee-Hung Henry Chu, published by Advances in Remote Sensing, Vol.2, No.2, 2013
  • Katragadda, Satya & Gottumukkala, Raju & Bhupatiraju, Ravi & Kamal, Azmyin & Raghavan, Vijay & Chu, Chee-Hung & Kolluru, Ramesh & Ashkar, ziad maurice. (2021). Association mining based approach to analyze COVID-19 response and case growth in the United States. Scientific Reports. 11. 18635. 10.1038/s41598-021-96912-5.
  • Vidal, Pedro & Chu, Chee-Hung & Biesseck, Bernardo & Granada, Roger & Führ, Gustavo & Menotti, David. (2023). Extending Earth Mover's Distance to Occluded Face Verification. 49-54. 10.1109/SIBGRAPI59091.2023.10347147.
  • Burkman, John & Chu, Chee-Hung & Sun, Xiaoduan. (2024). Ambulance Dispatch Recommendation System Based on Automated Crash Reports from Cell Phones. 10.2139/ssrn.5031140.
  • Rizk, Frederic & Rizk, Rodrigue & Rizk, Dominick & Chu, Chee-Hung. (2023). MAGAN: A Meta-Analysis for Generative Adversarial Networks’ Latent Space. 488-494. 10.5220/0011771900003411.
  • Hasan, Rashida & Chu, Chee-Hung. (2022). DRN: Detection and Removal of Noisy Instances with Self Organizing Map. 10.1007/978-3-031-09282-4_40.
  • Alagurajah, Jeevithan & Chu, Chee-Hung. (2022). Adversarial defense by restricting in-variance and co-variance of representations. 58-65. 10.1145/3477314.3507067.
  • Chu, Chee-Hung & Banerjee, Debanjali. (2022). Contributions by Feature Layers in Two-Class Deep Learning Image Classification Decisions.
  • Gottumukkala, Raju & Katragadda, Satya & Bhupatiraju, Ravi & Kamal, Azmyin & Raghavan, Vijay & Chu, Chee-Hung & Kolluru, Ramesh & Ashkar, ziad maurice. (2021). Correction to: 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. 10.1186/s12889-021-11904-4.
  • Katragadda, Satya & Gottumukkala, Raju & Bhupatiraju, Ravi & Kamal, Azmyin & Raghavan, Vijay & Chu, Chee-Hung & Kolluru, Ramesh & Ashkar, ziad maurice. (2021). Association mining based approach to analyze COVID-19 response and case growth in the United States. Scientific Reports. 11. 18635. 10.1038/s41598-021-96912-5.
  • Gottumukkala, Raju & Katragadda, Satya & Bhupatiraju, Ravi & Kamal, Azmyin & Raghavan, Vijay & Chu, Chee-Hung & Kolluru, Ramesh & Ashkar, ziad maurice. (2021). 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. 10.1186/s12889-021-11657-0.
  • Katragadda, Satya & Gottumukkala, Raju & Bhupatiraju, Ravi & Kamal, Azmyin & Raghavan, Vijay & Chu, Chee-Hung & Kolluru, Ramesh & Ashkar, ziad maurice. (2021). Association Mining Based Approach to analyze COVID-19 response and Case Growth in the United States.
  • Anandanadarajah, Nishanth & Chu, Chee-Hung & Loganantharaj, R.. (2021). An Integrated Deep Learning and Dynamic Programming Method for Predicting Tumor Suppressor Genes, Oncogenes, and Fusion from PDB Structures. 10.48550/arXiv.2105.08100.
  • Anandanadarajah, Nishanth & Chu, Chee-Hung & Loganantharaj, R.. (2021). An Integrated Deep Learning and Dynamic Programming Method for Predicting Tumor Suppressor Genes, Oncogenes, and Fusion from PDB Structures. Computers in Biology and Medicine. 133. 104323. 10.1016/j.compbiomed.2021.104323.
  • Singh, Anurag & Pratt, Michael & Chu, Chee-Hung. (2015). Visually Salient Features for Highway Scene Analysis. Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015. 10.1109/MVA.2015.7153204.
  • Singh, Anurag & Chu, Chee-Hung & Pratt, Michael. (2015). Saliency Detection Using Geometric Context Contrast Inferred from Natural Images. VISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications; VISIGRAPP, Proceedings. 1. 10.5220/0005316906090616.
  • Singh, Anurag & Chu, Chee-Hung & Pratt, Michael. (2015). Learning to Predict Video Saliency using Temporal Superpixels. ICPRAM 2015 - 4th International Conference on Pattern Recognition Applications and Methods, Proceedings. 2. 10.5220/0005206402010209.
  • Singh, Anurag & Chu, Chee-Hung & Pratt, Michael. (2014). Multiresolution superpixels for visual saliency detection. 10.1109/CIMSIVP.2014.7013277.
  • Raghavan, Vijay & Chu, Shixian & Chen, Jin-Feng & Chu, Chee-Hung & Wu, Zonghuan. (2014). Method and apparatus for information visualized expression, and visualized human computer interactive expression interface thereof.
  • Chu, Shixian & Chen, Jinfeng & Wu, Zonghuan & Chu, Chee-Hung & Raghavan, Vijay. (2014). Method and apparatus for information visualized expression, and visualized human computer interactive expression interface thereof.
  • He, Qiang & Chu, Chee-Hung & Camargo, Aldo. (2013). Object detection and tracking under planar constraints. Proceedings of SPIE - The International Society for Optical Engineering. 8713. 871315. 10.1117/12.2015645.
  • Singh, Anurag & Pratt, Michael & Chu, Chee-Hung. (2013). Visual saliency approach to anomaly detection in an image ensemble. 8750. 87500T. 10.1117/12.2017623.
  • He, Qiang & Chu, Chee-Hung. (2013). A New Shadow Removal Method for Color Images. Advances in Remote Sensing. 02. 77-84. 10.4236/ars.2013.22011.
  • Singh, Anurag & Pratt, Michael & Chu, Chee-Hung. (2012). Compressive sampling approach to visual attention in image scene analysis. Proceedings of SPIE - The International Society for Optical Engineering. 8401. 15-. 10.1117/12.920908.
  • He, Qiang & Chu, Chee-Hung. (2012). Fundamental matrix and planar homographies in stereo vision. 8401. 37-. 10.1117/12.919709.
  • He, Qiang & Chu, Chee-Hung. (2011). Lane Detection Using Road Planar Information. 10.1117/12.884444.
  • He, Qiang & Chu, Chee-Hung. (2011). Layer-based Object Detection and Tracking with Graph Matching. Proceedings of SPIE - The International Society for Optical Engineering. 8020. 10.1117/12.883508.
  • He, Qiang & Chu, Chee-Hung. (2011). Image Segmentation Using Maximum Spanning Tree on Affinity Matrix. 10.5772/15589.
  • Zhang, Yun & Chu, Chee-Hung. (2011). Ray Projection for Recovering Projective Transformations and Illumination Changes. IEEE transactions on pattern analysis and machine intelligence. 33. 446-58. 10.1109/TPAMI.2010.96.
  • Thainimit, Somying & Sreecholpech, Chirayuth & Areekul, Vutipong & Chu, Chee-Hung. (2011). Robust Iris Segmentation Based on Local Image Gradient Properties. IEICE Transactions. 94-D. 349-356. 10.1587/transinf.E94.D.349.
  • Zhang, Yun & Chu, Chee-Hung. (2010). One-Dimensional Mapping for Estimating Projective Transformations. Image Processing, IEEE Transactions on. 19. 3049 - 3058. 10.1109/TIP.2010.2050724.
  • He, Qiang & Chu, Chee-Hung. (2010). Planar Surface Detection and Extraction in Image Pair Taken under Urban Environment. 7697. 10.1117/12.849928.
  • Wang, Jiaqin & Pratt, Michael & Chu, Chee-Hung. (2010). Variable patch sizes for normalized cross correlation in image pairs. Proceedings of SPIE - The International Society for Optical Engineering. 7703. 10.1117/12.853683.
  • He, Qiang & Chu, Chee-Hung. (2010). Remote Sensing Image Enhancement Integrating Its Local Statistical Characteristics. 10.1117/12.838472.
  • Wang, Lu & Chu, Chee-Hung. (2009). 3D building reconstruction from LiDAR data. 3054 - 3059. 10.1109/ICSMC.2009.5345938.
  • He, Qiang & Chu, Chee-Hung. (2009). Shadow removal from textured images. 10.1117/12.818983.
  • He, Qiang & Chu, Chee-Hung. (2009). Detection of reflecting surfaces by a statistical model. Proc SPIE. 10.1117/12.805761.
  • He, Qiang & Chu, Chee-Hung. (2008). Texture-Based Shadow Removal from a Single Color Image. 644-650. 10.1007/978-3-540-89646-3_63.
  • Pratt, Michael & Konda, Sharath & Chu, Chee-Hung. (2008). Texture-based image steganalysis by artificial neural networks. International Journal of Intelligent Computing and Cybernetics. 1. 549-562. 10.1108/17563780810919122.
  • Zhang, Yun & Chu, Chee-Hung. (2008). Inverse-polar ray projection for recovering projective transformations. 1 - 7. 10.1109/CVPR.2008.4587698.
  • Wang, Lu & Chu, Chee-Hung. (2008). Graph theoretic segmentation of airborne LiDAR data. 6979. 10.1117/12.777869.
  • He, Qiang & Chu, Chee-Hung. (2008). A New Image Segmentation Technique Using Maximum Spanning Tree. 4958. 197-204. 10.1007/978-3-540-78275-9_17.
  • He, Qiang & Schultz, Richard & Chu, Chee-Hung. (2008). Efficient super-resolution image reconstruction applied to surveillance video captured by small unmanned aircraft systems. Proc SPIE. 6968. 10.1117/12.767826.
  • He, Qiang & Chu, Chee-Hung. (2007). Intrinsic Images by Fisher Linear Discriminant. 4842. 349-356. 10.1007/978-3-540-76856-2_34.
  • Chiewchanwattana, Sirapat & Lursinsap, Chidchanok & Chu, Chee-Hung. (2007). Imputing incomplete time-series data based on varied-window similarity measure of data sequences. Pattern Recognition Letters. 28. 1091-1103. 10.1016/j.patrec.2007.01.008.
  • Sunat, Khamron & Lursinsap, Chidchanok & Chu, Chee-Hung. (2007). The. Neural Computing and Applications. 16. 33-47.
  • He, Qiang & Chu, Chee-Hung. (2007). Lane Detection and Tracking through Affine Rectification.. 536-539.
  • Sunat, Khamron & Lursinsap, Chidchanok & Chu, Chee-Hung. (2007). The p-recursive piecewise polynomial sigmoid generators and first-order algorithms for multilayer tanh-like neurons. Neural Computing and Applications. 16. 33-47. 10.1007/s00521-006-0046-x.
  • He, Qiang & Chu, Chee-Hung. (2006). Planar Surface Detection in Image Pairs Using Homographic Constraints. 19-27. 10.1007/11919476_3.
  • He, Qiang & Chu, Chee-Hung. (2006). Recovering Intrinsic Images from Weighted Edge Maps. 159-162. 10.1109/IIH-MSP.2006.150.
  • Sunat, Khamron & Lursinsap, Chidchanok & Chu, Chee-Hung. (2007). The p-recursive piecewise polynomial sigmoid generators and first-order algorithms for multilayer tanh-like neurons. Neural Computing and Applications. 16. 33-47. 10.1007/s00521-006-0046-x.
  • Benton, Ryan & Chu, Chee-Hung. (2006). Camera Pose Estimation by an Artificial Neural Network. 4233. 604-611. 10.1007/11893257_68.
  • He, Qiang & Chu, Chee-Hung. (2006). An Efficient Vanishing Point Detection by Clustering on the Normalized Unit Sphere. 203 - 207. 10.1109/CAMP.2007.4350382.
  • Rawat, Kuldeep & Chu, Chee-Hung. (2005). Deformable block motion compensation scheme for aerial video surveillance coding. 10.1117/12.616007.
  • Kubola, Kanuengnij & Chu, Chee-Hung. (2005). Connectivity compression for three-dimensional planar triangle meshes. 2005. 837 - 841. 10.1109/IV.2005.37.
  • Benton, Ryan & Chu, Chee-Hung. (2005). Soft computing approach to steganalysis of LSB embedding in digital images. ITRE 2005 - 3rd International Conference on Information Technology: Research and Education - Proceedings. 2005. 105 - 109. 10.1109/ITRE.2005.1503077.
  • Doloc-Mihu, Anca & Raghavan, Vijay & Karnatapu, Surendra & Chu, Chee-Hung. (2005). An interface for the visualization of image databases in adaptive image retrieval systems (AIRS). Proceedings of SPIE - The International Society for Optical Engineering. 10.1117/12.592258.
  • Wettayaprasit, Wiphada & Lursinsap, Chidchanok & Chu, Chee-Hung. (2004). Extracting linguistic quantitative rules from supervised neural networks. KES Journal. 8. 161-170. 10.3233/KES-2004-8304.
  • Noel, Steven & Raghavan, Vijay & Chu, Chee-Hung. (2004). Document Clustering, Visualization, and Retrieval Link Mining. Clustering and Information Retrieval, Network Theory and Applications. 11. 10.1007/978-1-4613-0227-8_6.
  • Chiewchanwattana, Sirapat & Lursinsap, Chidchanok & Chu, Chee-Hung. (2004). A Reconstructed Missing Data-Finite Impulse Response Selective Ensemble (RMD-FSE) Network. 10.1007/978-3-540-39935-3_7.
  • Noel, Steven & Chu, Chee-Hung & Raghavan, Vijay. (2003). Co-Citation Count vs Correlation for Influence Network Visualization. Information Visualization. 3. 160-170. 10.1057/palgrave.ivs.9500049.
  • Thainimit, Somying & Chu, Chee-Hung. (2003). Illumination correction in digital images. 4 pp. - 4. 10.1109/CAMP.2003.1598142.
  • Chiewchanwattana, Sirapat & Lursinsap, Chidchanok & Chu, Chee-Hung. (2002). Time-series data prediction based on reconstruction of missing samples and selective ensembling of FIR neural networks. 2152 - 2156 vol.5. 10.1109/ICONIP.2002.1201873.
  • Wettayaprasit, Wiphada & Lursinsap, Chidchanok & Chu, Chee-Hung. (2002). Rule extraction from neural networks using fuzzy sets. 2582 - 2586 vol.5. 10.1109/ICONIP.2002.1201962.
  • Thainimit, Somying & Chu, Chee-Hung. (2002). Illumination mipmaps for texture mapping in computational video. 75 - 81. 10.1109/DCV.2002.1218746.
  • Noel, Steven & Chu, Chee-Hung & Raghavan, Vijay. (2002). Visualization of Document Co-Citation Counts. 691-696. 10.1109/IV.2002.1028850.
  • Noel, Steven & Raghavan, Vijay & Chu, Chee-Hung. (2001). Visualizing Association Mining Results through Hierarchical Clusters. 425-432.
  • Efe, Kemal & Raghavan, Vijay & Chu, Chee-Hung & Broadwater, Adrienne & Bolelli, Levent & Ertekin, Seyda. (2000). The Shape of the Web and Its Implications for Searching the Web.
  • Chu, Chee-Hung & Wiltz, Anthony. (1999). Luminance channel modulated watermarking of digital images. 3723. 10.1117/12.342956.
  • Noel, Steven & Szu, Harold & Tzeng, Nian Feng & Chu, Chee-Hung. (1999). Video Compression With Embedded Wavelet Coding and Singularity Maps. 3723. 10.1117/12.342947.
  • Breaux, Nancy & Chu, Chee-Hung. (1999). Halftoning for color-indexed displays. 3. 597 - 601 vol.3. 10.1109/ICIP.1999.817185.
  • Watunyuta, W. & Chu, Chee-Hung. (1997). Voronoi tessellation-based spatial domain analysis of digital halftoning methods. Optics Communications - OPT COMMUN. 140. 110-118. 10.1016/S0030-4018(97)00009-6.
  • Breaux, Nancy & Chu, Chee-Hung. (1997). Wavelet methods for compression, rendering, and descreening in digital halftoning. 10.1117/12.271757.
  • Sidman, Robert & Chu, Chee-Hung & Lagerlund, Terrence. (1997). The compression of EEG waveforms using the wavelet transform. Electroencephalography and Clinical Neurophysiology. 102. 10.1016/S0013-4694(97)86298-0.
  • Chow, C. & Chu, Chee-Hung. (1997). A Concurrent Training Algorithm for Supervised Learning in Artificial Neural Networks.. J. Inf. Sci. Eng.. 13. 267-291.
  • Pratt, Michael & Chu, Chee-Hung & Wong, Stephen. (1996). Volume compression of MRI data using zerotrees of wavelet coefficients. 10.1117/12.255283.
  • Watunyuta, W. & Chu, Chee-Hung. (1996). A dither pattern ensemble method for digital halftoning. Optics Communications - OPT COMMUN. 129. 331-336. 10.1016/0030-4018(96)00203-9.
  • Sidman, R. & Chu, Chee-Hung & Semal, J. & Lagerlund, Terrence. (1996). COMPUTING ENVIRONMENT AND TOOLS FOR NETWORK-BASED INTERACTIVE NEUROSCIENCE DATA VISUALIZATION: B206. Journal of Clinical Neurophysiology - J CLIN NEUROPHYSIOL. 13. 440-441. 10.1097/00004691-199609000-00029.
  • Watunyuta, W. & Chu, Chee-Hung. (1996). A dither pattern ensemble method for digital halftoning. Optics Communications. 129. 331-336. 10.1016/S0030-4018(96)00203-9.
  • Aditya, Krishna & Chu, Chee-Hung & Szu, Harold. (1996). Aerospace/Defense Sensing and Controls. Proceedings of SPIE - The International Society for Optical Engineering. 654-665. 10.1117/12.236037.
  • Aditya, Sri-Krishna & Chu, Chee-Hung & Szu, Harold. (1996). Application of adaptive subband coding for noisy bandlimited ECG signal processing. 10.1117/12.236040.
  • Sidman, R & Chu, Chee-Hung & Efe, Kemal. (1996). Source localization and bioelectric imaging as it relates to continuous waveform analysis. Electroencephalography and clinical neurophysiology. Supplement. 45. 9-21.
  • Aditya, Sri-Krishna & Chu, Chee-Hung & Szu, Harold. (1996). Fast algo-tectures for discrete wavelet transforms.
  • Razi, Daryoush & Chu, Chee-Hung. (1995). Realization of an alpha-trimmed mean filter on the threshold decomposition architecture. Optical Engineering - OPT ENG. 34. 2767-2771. 10.1117/12.210760.
  • Sri-Krishna, Aditya & Chu, Chee-Hung. (1995). Fast Fourier transform (FFT) based fast architecture and algorithm for discrete wavelet transforms. Proceedings of SPIE - The International Society for Optical Engineering. 1028-1034. 10.1117/12.205461.
  • Chu, Chee-Hung. (1994). Genetic algorithm approach to the configuration of wavelet packet processing tree. 53 - 56 vol.3. 10.1109/ICPR.1994.577121.
  • Chow, C.R. & Chu, Chee-Hung. (1994). On the configuration of multilayered feedforward networks by an evolutionary process. 531 - 534 vol.1. 10.1109/MWSCAS.1994.519294.
  • Chu, Chee-Hung. (1994). Data Compression by Multiresolution Tree Search. Optical Engineering - OPT ENG. 33. 2136-2142. 10.1117/12.172251.
  • Chu, Chee-Hung. (1994). Genetic algorithm search of multiresolution tree with applications in data compression. 10.1117/12.170099.
  • Chu, Chee-Hung & Chow, C.R.. (1994). Fault-tolerance inclusion in neural networks by a concurrenttraining algorithm. 149-154 vol.1. 10.1109/ICNN.1994.374154.
  • Chu, Chee-Hung & Kim, J & Kim, I. (1994). Applications of binary neural networks learning to patternclassification. 907-911 vol.2. 10.1109/ICNN.1994.374301.
  • Chu, Chee-Hung & Kim, Huhn. (1993). Pattern classification by geometrical learning of binary neural networks. 10.1109/IJCNN.1993.714090.
  • Chu, Chee-Hung & Watunyuta, W.. (1992). Designing dither matrices using a human visual model. Proceedings of SPIE - The International Society for Optical Engineering. 10.1117/12.135962.
  • Chu, Chee-Hung & Kottapalli, M.. (1991). Visual Communications, '91, Boston, MA. Proceedings of SPIE - The International Society for Optical Engineering. 470-481. 10.1117/12.50379.
  • Chu, Chee-Hung & Kottapalli, M.. (1991). Genetic algorithm approach to visual model-based halftone pattern design. Proceedings of SPIE - The International Society for Optical Engineering. 470-481.
  • Seetharaman, Guna & Chu, Chee-Hung. (1991). Hierarchical fusion of geometric constraints for image segmentation. 10.1117/12.25298.
  • Rao, K.B. & Efe, Kemal & Chu, Chee-Hung. (1990). Parallel optimization of stack filters. 511-514. 10.1109/FMPC.1990.89505.
  • Chu, Chee-Hung & Razi, Hamir. (1990). A nonlinear multiresolution approach to echocardiographic image segmentation. Physica B-condensed Matter - PHYSICA B. 431 - 434. 10.1109/CIC.1990.144250.
  • Chu, Chee-Hung. (1990). A spatial summation model for image processing by artificial neuralnetworks. 537-543 vol.1. 10.1109/IJCNN.1990.137620.
  • Chu, Chee-Hung & Sahoo, A.. (1990). Sinusoidal responses of nonlinear signal processing operators. 168-171 vol.1. 10.1109/ISCAS.1990.111953.
  • Efe, Kemal & Chu, Chee-Hung & Rao, K.B.. (1990). The configuration of stack filters by probabilistic search. 172 - 176 vol.1. 10.1109/ISCAS.1990.111954.
  • Seetharaman, Guna & Chu, Chee-Hung. (1990). Image segmentation by multisensor data-fusion. 583 - 587. 10.1109/SSST.1990.138212.
  • Chu, Chee-Hung & Delp, Edeard. (1989). Impulsive Noise Suppression and Background Normalization of Electrocardiogram Signals Using Morphological Operators. Biomedical Engineering, IEEE Transactions on. 36. 262 - 273. 10.1109/10.16474.
  • Chu, Chee-Hung. (1989). A Genetic Algorithm Approach to the Configuration of Stack Filters.. 219-224.
  • Chu, Chee-Hung & Delp, E.J.. (1988). Electrocardiogram signal processing by morphological operators. Journal of Arthroplasty - J ARTHROPLASTY. 153 - 156. 10.1109/CIC.1988.72588.
  • Chu, Chee-Hung & Delp, E.J.. (1988). Detecting heart wall boundaries by tracking features in an echocardiogram sequence. Journal of Arthroplasty - J ARTHROPLASTY. 117 - 120. 10.1109/CIC.1988.72579.
  • Chu, Chee-Hung. A Genetic Approach to the Configuration of Stack Filters.
  • Sidman, R & Chu, Chee-Hung. Tree-Pruning Methods in Wavelet-Based Signal Processing.
  • Vidal, Pedro & Chu, Chee-Hung & Biesseck, Bernardo & Granada, Roger & Führ, Gustavo & Menotti, David. (2023). Extending Earth Mover's Distance to Occluded Face Verification. 49-54. 10.1109/SIBGRAPI59091.2023.10347147.
  • Chang, Lin-Ching & Chu, Henry & Kolluru, Ramesh & Foo, Simon & Wu, Jerry & Szu, Harold. (2019). MOJABB-03-00094 3rd Wave AI. MOJ Applied Bionics and Biomechanics. 3. 10.15406/mojabb.2019.03.00094.
  • Dong W Shi G Zhang L (2007) Immune memory clonal selection algorithms for designing stack filters Neurocomputing 10.1016/j. neucom. 2006.10. 037 70: 4-6 (777-784) Online publication date: 1-Jan-2007

Raju Gottumukkala

  • Kumar, Deepak Jain Veerendra & Ritter, Kenneth A & Raush, Jonathan & Ferdowsi, Farzad & Gottumukkala, Raju & Chambers, Terrence Lynn. (2025). Optimizing Photovoltaic Soiling Loss Predictions in Louisiana: A Comparative Study of Measured and Modeled Data Using a Novel Approach. Progress in Photovoltaics: Research and Applications. 33. 10.1002/pip.3891.
  • Hassan, Mehedi & Tozal, Mehmet & Swarup, Vipin & Noel, Steven & Gottumukkala, Raju & Raghavan, Vijay. (2025). Detecting Anomalous Communication Behaviors in Dynamically Evolving Networked Systems. IEEE Transactions on Information Forensics and Security. PP. 1-1. 10.1109/TIFS.2025.3548544.
  • Amarasiri, Nalaka & Gottumukkala, Raju & Barhorst, Alan. (2024). Sharp Curve Trajectory Tracking of a Universal Omni-Wheeled Mobile Robot Using a Sliding Mode Controller. ASME Letters in Dynamic Systems and Control. 5. 10.1115/1.4066937.
  • Bodaghi, Morteza & Hosseini, Majid & Gottumukkala, Raju. (2024). A Multimodal Intermediate Fusion Network with Manifold Learning for Stress Detection. 1-8. 10.1109/ICMI60790.2024.10586177.
  • Amarasiri, Nalaka & Gottumukkala, Raju & Barhorst, Alan. (2024). Investigating suitable combinations of dynamic models and control techniques for offline Reinforcement Learning based navigation: Application Universal Omni-Wheeled Robots. ASME Letters in Dynamic Systems and Control. 10.1115/1.4064517.
  • Hosseini, Majid & Bodaghi, Morteza & Bhupatiraju, Ravi & Maida, Anthony & Gottumukkala, Raju. (2023). Multimodal Stress Detection Using Facial Landmarks and Biometric Signals. 10.48550/arXiv.2311.03606.
  • Guidry, Jake & Sohrab, Fahad & Gottumukkala, Raju & Katragadda, Satya & Gabbouj, Moncef. (2023). One-Class Classification for Intrusion Detection on Vehicular Networks.
  • Hosseini, Majid & Bodaghi, Morteza & Bhupatiraju, Raviteja & Maida, Anthony & Gottumukkala, Raju. (2023). Multimodal Stress Detection Using Facial Landmarks and Biometric Feedback. 10.2139/ssrn.4640811.
  • Hosseini, Matin & Maida, Anthony & Hosseini, Majid & Gottumukkala, Raju. (2022). Inception Recurrent Neural Network Architecture for Video Frame Prediction. SN Computer Science. 4. 10.1007/s42979-022-01498-y.
  • Hosseini, Majid & Bhupatiraju, Ravi & Katragadda, Satya & Gottumukkala, Raju & Iosifidis, Alexandros & Raitoharju, Jenni & Gabbouj, Moncef. (2022). EmpathicSchool: A multimodal dataset for real-time facial expressions and physiological data analysis under different stress conditions.
  • Amarasiri, Nalaka & Barhorst, Alan & Gottumukkala, Raju. (2022). Robust Dynamic Modeling and Trajectory Tracking Controller of a Universal Omni-Wheeled Mobile Robot. ASME Letters in Dynamic Systems and Control. 2. 1-10. 10.1115/1.4055690.
  • Katragadda, Satya & Bhupatiraju, Ravi & Raghavan, Vijay & Ashkar, ziad maurice & Gottumukkala, Raju. (2022). Examining the COVID-19 case growth rate due to visitor vs. local mobility in the United States using machine learning. Scientific Reports. 10.1038/s41598-022-16561-0.
  • Jain, Deepak & Kumar, Veerendra & Deville, Lelia & Ritter, Kary & Raush, Jonathan & Ferdowsi, Farzad & Gottumukkala, Raju & Chambers, Terrence. (2022). Performance Evaluation of 1.1 MW Grid-Connected Solar Photovoltaic Power Plant in Louisiana. Energies. 15. 10.3390/en15093420.
  • Riahi Alam, Mohsen & Najafi, M. Hassan & Nejad, Nima & Imani, Mohsen & Gottumukkala, Raju. (2022). Stochastic Computing In Beyond Von-Neumann Era: Processing Bit-Streams In Memristive Memory. Circuits and Systems II: Express Briefs, IEEE Transactions on. 69. 2423 - 2427. 10.1109/TCSII.2022.3161995.
  • Jafarian Abianeh, Ali & Ferdowsi, Farzad & Gottumukkala, Raju & Dragicevic, Tomislav. (2021). Cyber-Resilient Sliding Mode Consensus Based Secondary Control Scheme for Islanded AC Microgrids. IEEE Transactions on Power Electronics. 10.1109/TPEL.2021.3125985.
  • Gottumukkala, Raju & Katragadda, Satya & Bhupatiraju, Ravi & Kamal, Azmyin & Raghavan, Vijay & Chu, Chee-Hung & Kolluru, Ramesh & Ashkar, ziad maurice. (2021). Correction to: 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. 10.1186/s12889-021-11904-4.
  • Hosseini, Majid & Katragadda, Satya & Bhupatiraju, Ravi & Ashkar, ziad maurice & Borst, Christoph & Cochran, Kenneth & Gottumukkala, Raju. (2021). A multi-modal sensor dataset for continuous stress detection of nurses in a hospital. Scientific Data. 9. 10.1038/s41597-022-01361-y.
  • Katragadda, Satya & Gottumukkala, Raju & Bhupatiraju, Ravi & Kamal, Azmyin & Raghavan, Vijay & Chu, Chee-Hung & Kolluru, Ramesh & Ashkar, ziad maurice. (2021). Association mining based approach to analyze COVID-19 response and case growth in the United States. Scientific Reports. 11. 18635. 10.1038/s41598-021-96912-5.
  • Katragadda, Satya & bhupatiraju, ravi & Raghavan, Vijay & Ashkar, ziad maurice & Gottumukkala, Raju. (2021). COVID-19: Examining the case growth-rate due to Visitor vs Local Mobility using Machine Learning: A Study in the United States. 10.21203/rs.3.rs-916701/v1.
  • Gottumukkala, Raju & Katragadda, Satya & Bhupatiraju, Ravi & Kamal, Azmyin & Raghavan, Vijay & Chu, Chee-Hung & Kolluru, Ramesh & Ashkar, ziad maurice. (2021). 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. 10.1186/s12889-021-11657-0.
  • Venna, Siva RamaKrishna Reddy & Katragadda, Satya & Raghavan, Vijay & Gottumukkala, Raju. (2021). River Stage Forecasting using Enhanced Partial Correlation Graph. Water Resources Management. 35. 1-16. 10.1007/s11269-021-02933-0.
  • Gottumukkala, Raju & Beling, Peter. (2020). Introduction to the Special Issue on Data-Enabled Discovery for Industrial Cyber-Physical Systems. Data-Enabled Discovery and Applications. 4. 10.1007/s41688-020-00046-y.
  • Hosseini, Majid & Katragadda, Satya & Wojtkiewicz, Jessica & Gottumukkala, Raju & Maida, Anthony & Chambers, Terrence. (2020). Direct Normal Irradiance Forecasting Using Multivariate Gated Recurrent Units. Energies. 13. 10.3390/en13153914.
  • Zobaed, Sm & Gottumukkala, Raju. (2020). Privacy-Preserving Clustering of Unstructured Big Data for Cloud-Based Enterprise Search Solutions. 10.48550/arXiv.2005.11317.
  • Hosseini, Matin & Maida, Anthony & Hosseini, Majid & Gottumukkala, Raju. (2020). Inception LSTM for Next-frame Video Prediction (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 34. 13809-13810. 10.1609/aaai.v34i10.7176.
  • Katragadda, Satya & Darby, Paul & Roche, Andrew & Gottumukkala, Raju. (2020). Detecting Low-Rate Replay-Based Injection Attacks on In-Vehicle Networks. IEEE Access. PP. 1-1. 10.1109/ACCESS.2020.2980523.
  • Chalgham, Wadie & Diaconeasa, Mihai & Gottumukkala, Raju & Seibi, Abdennour. (2019). A Numerical and Experimental Study Supporting a Methodology for Live Monitoring, Leak Detection, and Automatic Response in Water Pipelines. 10.1115/IMECE2019-11861.
  • Wojtkiewicz, Jessica & Hosseini, Matin & Gottumukkala, Raju & Chambers, Terrence. (2019). Hour-Ahead Solar Irradiance Forecasting Using Multivariate Gated Recurrent Units. Energies. 12. 4055. 10.3390/en12214055.
  • Hosseini, Matin & Hosseini, Majid & Gottumukkala, Raju & Maida, Anthony. (2019). Inception-inspired LSTM for Next-frame Video Prediction.
  • Katragadda, Satya & Bayoumi, Magdy & Gottumukkala, Raju & Venna, Siva RamaKrishna Reddy & Lipari, Nicholas & Gaikwad, Shailendra & Pusala, Murali & Chen, Jian & Borst, Christoph & Raghavan, Vijay. (2019). VAStream: A Visual Analytics System for Fast Data Streams. 1-8. 10.1145/3332186.3332256.
  • Zobaed, Sm & Ahmad, Sahan & Gottumukkala, Raju. (2019). ClustCrypt: Privacy-Preserving Clustering of Unstructured Big Data in the Cloud. 10.1109/HPCC/SmartCity/DSS.2019.00093.
  • Gottumukkala, Raju & Merchant, Rizwan & Tauzin, Adam & Leon, Kaleb & Roche, Andrew & Darby, Paul. (2019). Cyber-physical System Security of Vehicle Charging Stations. 1-5. 10.1109/GreenTech.2019.8767141.
  • Darby, Paul & Gottumukkala, Raju. (2019). Decentralized Computing Techniques in Support of Cyber-Physical Security for Electric and Autonomous Vehicles. 1-5. 10.1109/GreenTech.2019.8767163.
  • Venna, Siva RamaKrishna Reddy & Tavanaei, Amir & Gottumukkala, Raju & Raghavan, Vijay & Maida, Anthony & Nichols, Stephen. (2018). A Novel Data-Driven Model for Real-Time Influenza Forecasting. IEEE Access. 10.1109/ACCESS.2018.2888585.
  • Wojtkiewicz, Jessica & Katragadda, Satya & Gottumukkala, Raju. (2018). A Concept-Drift Based Predictive-Analytics Framework: Application for Real-Time Solar Irradiance Forecasting. 5462-5464. 10.1109/BigData.2018.8622216.
  • Katragadda, Satya & Gottumukkala, Raju & Pusala, Murali & Raghavan, Vijay & Wojtkiewicz, Jessica. (2018). Distributed Real Time Link Prediction on Graph Streams. 2912-2917. 10.1109/BigData.2018.8621934.
  • Tavanaei, Amir & Gottumukkala, Raju & Maida, Anthony & Raghavan, Vijay. (2018). Unsupervised Learning to Rank Aggregation using Parameterized Function Optimization. 1-8. 10.1109/IJCNN.2018.8489160.
  • Gaikwad, Shailendra & Tafleen, Sana & Gottumukkala, Raju & Elgazzar, Khalid. (2018). Fault Tolerance of Real-time Video Streaming Protocols over SDN Networks. 101-107. 10.1109/IWCMC.2018.8450440.
  • Cao, Guanqun & Iosifidis, Alexandros & Gabbouj, Moncef & Raghavan, Vijay & Gottumukkala, Raju. (2018). Deep Multi-View Learning to Rank. IEEE Transactions on Knowledge and Data Engineering. PP. 10.1109/TKDE.2019.2942590.
  • Pusala, Murali & Benton, Ryan & Raghavan, Vijay & Gottumukkala, Raju. (2017). Supervised Approach to Rank Predicted Links using Interestingness Measures. 10.1109/BIBM.2017.8217807.
  • Venna, Siva RamaKrishna Reddy & Gottumukkala, Raju & Raghavan, Vijay. (2016). Visual Analytic Decision-Making Environments for Large-Scale Time-Evolving Graphs. 10.1016/bs.host.2016.07.002.
  • Venna, Siva RamaKrishna Reddy & Raghavan, Vijay & Gottumukkala, Raju. (2015). Visual Analytics of Time Evolving Large-scale Graphs. 10.13140/RG.2.1.1703.2086.
  • Benton, Ryan & Hsu, Sonya HY & Gottumukkala, Raju. (2015). Real-Time Flu Monitoring System and Decision Informatics. 2015. 10.1109/HICSS.2015.338.
  • Gottumukkala, Raju. (2013). Workflow auto generation from user constraints and hierarchical dependence graphs for workflows. PATENT
  • Gottumukkala, Raju & Zachary, John & Kearfott, Ralph & Kolluru, Ramesh. (2012). Real-time information driven decision support system for evacuation planning. 10.1109/CogSIMA.2012.6188383.
  • Gottumukkala, Raju & Shepherd, Tong. (2010). Validation and analysis of JDF workflows using colored petri nets. PATENT
  • Gottumukkala, Raju & Nassar, Raja & Paun, Mihaela & Leangsuksun, Chokchai & Scott, Stephen. (2010). Reliability of a System of k Nodes for High Performance Computing Applications. Reliability, IEEE Transactions on. 59. 162 - 169. 10.1109/TR.2009.2034291.
  • Katz, Daniel & Allen, Gabrielle & Cortez, Ricardo & Cruz-Neira, Carolina & Gottumukkala, Raju & Greenwood, Zeno & Guice, Leslie & Jha, Shantenu & Kolluru, Ramesh & Kosar, Tevfik & Leger, Lonnie & Liu, Honggao & McMahon, Charlie & Nabrzyski, Jarek & Rodriguez-Milla, Bety & Seidel, Harry & Speyrer, Greg & Stubblefield, Michael & Voss, Brian & Whittenburg, Scott. (2009). Louisiana: a model for advancing regional e-Research through cyberinfrastructure. Philosophical transactions. Series A, Mathematical, physical, and engineering sciences. 367. 2459-69. 10.1098/rsta.2009.0037.
  • Gottumukkala, Raju & eangsuksun, Chokchai & Nassar, Raja & Paun, Mihaela & Sule, Dileep & Scott, Stephen. (2008). Reliability-aware Optimal K Node Allocation of Parallel Applications in Large Scale High Performance Computing Systems.
  • Gottumukkala, Raju & Leangsuksun, Chokchai & Taerat, Narate & Nassar, Raja & Scott, Stephen. (2007). Reliability-Aware Resource Allocation in HPC Systems. Proceedings - IEEE International Conference on Cluster Computing, ICCC. 312-321. 10.1109/CLUSTR.2007.4629245.
  • Song, Hertong & Leangsuksun, Chokchai & Nassar, Raja & Gottumukkala, Raju & Scott, Stephen. (2006). Availability modeling and analysis on high performance cluster computing systems. Proceedings - First International Conference on Availability, Reliability and Security, ARES 2006. 2006. 8 pp.-. 10.1109/ARES.2006.37.
  • Engelmann, Christian & Scott, Stephen & Bernholdt, David & Gottumukkala, Raju & Leangsuksun, Chokchai & Varma, Jyothish & Wang, Chao & Mueller, Frank & Shet, Aniruddha & Sadayappan, Ponnuswamy. (2006). MOLAR: Adaptive runtime support for high-end computing operating and runtime systems. ACM SIGOPS Operating Systems Review. 40. 63-72. 10.1145/1131322.1131337.
  • Gottumukkala, Raju & Sun, Tong. (2005). Modeling and Assessment of Production Printing Workflows Using Petri Nets. Lecture Notes in Computer Science. 3649. 319-333. 10.1007/11538394_21.
  • Gottumukkala, Raju & Leangsuksun, Chokchai & Nassar, Raja & Paun, Mihaela & Sule, Dileep & Scott, Stephen. Reliability-aware Optimal K-Node Allocation of Parallel Applications in Large Scale HPC Systems.