Drafts and Preprints

• R. Jiang, T. Nguyen, P. Ishwar, and S. Aeron, “Supervised contrastive learning with hard negative samples,” arXiv:2209.00078.
• M. Sameki, S. Lai, K. K. Mays, L. Guo, P. Ishwar, M. Betke, “BUOCA: Budget-Optimized Crowd Worker Allocation”.
• Y. Wang, Y. O. Basciftci, P. Ishwar, “Privacy-Utility Tradeoffs under Constrained Data Release Mechanisms”.
• W. Ding, P. Ishwar, V. Saligrama, “Learning Mixed Membership Mallows Models from Pairwise Comparisons”.
• P. Ishwar, “A note on the sum-rate-distortion function of some lossy source coding problems involving infinite-valued distortion functions”.

Journal Articles

• B. Lyu, T. Nguyen, P. Ishwar, M. Scheutz, and S. Aeron, “Barycentric-Alignment and Reconstruction Loss Minimization for Domain Generalization,” in IEEE Access, vol. 11, pp. 49226-49240, 2023, DOI:10.1109/ACCESS.2023.3276775, [arXiv:2109.01902].
• M. Cokbas, P. Ishwar, and J. Konrad, “Spatio-Visual Fusion-Based Person Re-Identification for Overhead Fisheye Images,” in IEEE Access, vol. 11, pp. 46095-46106, 2023, DOI:10.1109/ACCESS.2023.3274600, [arXiv:2212.11477].
• H. Liu, C. Cordella, P. Ishwar, M. Betke, and S. Kiran, “Consistent long-term practice leads to consistent improvement: Benefits of self-managed therapy for language and cognitive deficits using a digital therapeutic,” in Frontiers in Digital Health (Personalized Medicine), vol. 5, 11 Apr. 2023, DOI:10.3389/fdgth.2023.1095110.
• C. Lin, D. Sussman, and P. Ishwar, “Ergodic Limits, Relaxations, and Geometric Properties of Random Walk Node Embeddings,” IEEE Transactions on Network Science and Engineering, published 21 Sep. 2022. DOI: 10.1109/TNSE.2022.3208520 [arXiv version].
• G. Starr, S. Mrak, Y. Nishimura, M. Hirsch, P. Ishwar, and J. Semeter, “Automatic Identification of the Main Ionospheric Trough in Total Electron Content Images,” Space Weather, vol. 20, no. 6, Jun. 2022. DOI: 10.1029/2021SW002994.
• A. Billot, S. Lai, M. Varkanitsa, E. Braun, B. Rapp, T. Parrish, J. Higgins, A. Kurani, D. Caplan, C. Thompson, P. Ishwar, M. Betke, and S. Kiran, “Multimodal neural and behavioral data predict response to rehabilitation in chronic post-stroke aphasia,” Stroke, January 26, 2022, DOI: 10.1161/STROKEAHA.121.036749.
• M. Tezcan, P. Ishwar, and J. Konrad, “BSUV-Net 2.0: Spatio-temporal data augmentation for video-agnostic supervised background subtraction,” IEEE Access, vol. 9, pp. 53849-53860, Apr. 2021, DOI: 10.1109/ACCESS.2021.3071163 [arXiv version].
• L. Guo, K. Mays, S. Lai, M. Jalal, P. Ishwar, and M. Betke, “Accurate, Fast, But Not Always Cheap: Evaluating “Crowdcoding” as an Alternative Approach to Analyze Social Media Data,” Journalism and Mass Communication Quarterly, 16 Dec., 2019.
• N. Sae-Bae, J. Wu, N. Memon, J. Konrad, and P. Ishwar, “Emerging NUI-based Methods for User Authentication: A New Taxonomy and Survey,” IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 1, pp. 5-31, Jan., 2019.
• W. Ding, C. Lin, and P. Ishwar, “Node Embedding via Word Embedding for Network Community Discovery,” IEEE Transactions on Signal and Information Processing over Networks special issue on Graph Signal Processing, vol. 3, no. 3, pp. 539-552, Sep., 2017. [arXiv version].
• W. Ding, P. Ishwar, and V. Saligrama, “Necessary and Sufficient Conditions and a Provably Efficient Algorithm for Separable Topic Discovery,” IEEE Journal on Special Topics in Signal Processing (JSTSP), Special Issue on Structured Matrices in Signal and Data Processing, vol. 10, no. 4, pp. 712-725, Jun., 2016. [arXiv version].
• L. Guo, C. Vargo, Z. Pan, W. Ding, and P. Ishwar, “Big Social Data Analytics in Journalism and Mass Communication: Comparing Dictionary-based Text Analysis and Unsupervised Topic Modeling,” Journalism and Mass Communication Quarterly, special issue on “Information Access and Control in an Age of Big Data,” 1 Apr., 2016. DOI: 10.1177/1077699016639231.
• L. Martin, A. Tuysuzoglu, W. C. Karl, and P. Ishwar, “Learning-Based Object Identification and Segmentation using Dual-Energy CT Images for Security,” IEEE Transactions on Image Processing, vol. 24, no. 11, pp. 4069-4081, Nov. 2015.
• N. Goyette, P-M. Jodoin, F. Porikli, J. Konrad, and P. Ishwar, “A Novel Video Dataset for Change Detection Benchmarking,” IEEE Transactions on Image Processing, vol. 23, no. 11, pp. 4663-4679, Nov. 2014.
• J. Konrad, M. Wang, P. Ishwar, C. Wu, and D. Mukherjee, “Learning-based, automatic 2D-to-3D image and video conversion,” IEEE Transactions on Image Processing, Special Issue on 3D Video Representation, Compression and Rendering, vol. 22, no. 9, pp. 3485-3496, Sep. 2013.
• S. Rane, Y. Wang, S.C. Draper, and P. Ishwar, “Secure Biometrics: Concepts, Authentication Architectures and Challenges,” IEEE Signal Processing Magazine, Special Issue: Signal Processing for Cyber-security and Privacy, vol. 30, no. 5, pp. 51-64, Sep. 2013.
• N. Ma and P. Ishwar, “The Infinite-Message Limit of Two-Terminal Interactive Source Coding,” IEEE Transactions on Information Theory, vol. 59, no. 7, pp. 4071-4094, Jul. 2013.
  
• K. Guo, P. Ishwar, and J. Konrad, “Action Recognition from Video using Feature Covariance Matrices,” IEEE Transactions on Image Processing, vol. 22, no. 6, pp. 2479-2494, Jun. 2013.
• Y. Wang, S. Rane, S. C. Draper, and P. Ishwar, “A Theoretical Analysis of Authentication, Privacy and Reusability Across Secure Biometric Systems,” IEEE Transactions on Information Forensics and Security, vol. 7, no. 6, pp. 1825-1840, Dec. 2012.
  
• N. Ma, P. Ishwar, and P. Gupta, “Interactive Source Coding for Function Computation in Collocated Networks,” IEEE Transactions on Information Theory, vol. 58, pp. 4289-4305, Jul. 2012.
• N. Ma and P. Ishwar, “Some results on distributed source coding for interactive function computation,” IEEE Transactions on Information Theory, vol. 57, pp. 6180-6195, Sep. 2011.
• N. Ma and P. Ishwar, “On delayed sequential coding of correlated sources,” IEEE Transactions on Information Theory, vol. 57, pp. 3763-3782, Jun. 2011.
• A. Kumar, P. Ishwar, and K. Ramchandran, “High-resolution distributed sampling of bandlimited fields with low-precision sensors,” IEEE Transactions on Information Theory, vol. 57, pp. 476-492, Jan. 2011.
• A. Kumar, P. Ishwar, and K. Ramchandran, “Dithered A/D conversion of smooth non-bandlimited signals,” IEEE Transactions on Signal Processing, vol. 58, pp. 2654-2666, May 2010.
• E. Masry and P. Ishwar, “Field estimation from randomly located, binary noisy sensors,” IEEE Transactions on Information Theory, vol. 55, pp. 5197-5210, Nov. 2009.
• Z. Li, P. Ishwar, and J. Konrad, “Video condensation by ribbon carving,” IEEE Transactions on Image Processing, vol. 18, pp. 2572-2583, Nov. 2009. [Project website]
• Y. Wang and P. Ishwar, “Distributed field estimation using randomly deployed, noisy, binary sensors,” IEEE Transactions on Signal Processing, vol. 57, pp. 1177-1189, Mar. 2009.
• Y. Wang, P. Ishwar, and V. Saligrama, “One-bit distributed sensing and coding for field estimation in sensor networks,” IEEE Transactions on Signal Processing, vol. 56, pp. 4433-4445, Sep. 2008.
• R. Puri, A. Majumdar, P. Ishwar, and K. Ramchandran, “Distributed Video Coding in Broadband Wireless Sensor Networks,” IEEE Signal Processing Magazine, Special Issue on Distributed Signal Processing in Sensor Networks, vol. 23, no. 4, pp. 94-106, Jul. 2006.
• P. Ishwar and P. Moulin, “On the existence and characterization of the maxent distribution under general moment inequality constraints,” IEEE Transactions on Information Theory, vol. 51, pp. 3322-3333, Sep. 2005.
• P. Ishwar, R. Puri, K. Ramchandran, and S. S. Pradhan, “On rate-constrained distributed estimation in unreliable sensor networks,” IEEE Journal on Selected Areas in Communications, Special issue on Self-Organizing Distributed Collaborative Sensor Networks, vol. 23, pp. 765-775, Apr. 2005.
• M. Johnson, P. Ishwar, V. M. Prabhakaran, D. Schonberg, and K. Ramchandran, “On compressing encrypted data,” IEEE Transactions on Signal Processing, Special supplement on Secure Media, vol. 52, part 2, pp. 2992-3006, Oct. 2004.
• P. Ishwar and P. Moulin, “On the equivalence of set-theoretic and maxent MAP estimation,” IEEE Transactions on Signal Processing, vol. 51, pp. 698-713, Mar. 2003.
• P. Ishwar and P. Moulin, “On spatial adaptation of motion field smoothness in video coding,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 10, pp. 980-989, Sep. 2000.

Book Chapters

• J. Wu, J. Chen, P. Ishwar, and J. Konrad, “Two-Stream CNNs for Gesture-Based Verification and Identification: Learning User Style,” in Deep Learning for Biometrics (B. Bhanu and A. Kumar, eds.), ch. 7, pp. 159-182, Springer, 2017.
• Y. Wang, N. Ma, M. Zhao, P. Ishwar, and V. Saligrama, “Distributed field estimation with one-bit sensors,” in Networked Sensing Information and Control (V. Saligrama, ed.), pp. 137-158, Springer, New York, NY, 2008.
• A. Kumar, P. Ishwar, and K. Ramchandran, “On distributed sampling of smooth non-bandlimited fields,” in IPSN 2004: Third International Symposium on Information Processing in Sensor Networks, April 26-27, 2004, Berkeley, CA, pp. 89-98, ACM Press, 2004.
• P. Ishwar, A. Kumar, and K. Ramchandran, “Distributed sampling for dense senor networks: a “bit-conservation principle”,” in Information Processing in Sensor Networks: Second International Workshop, IPSN 2003, Palo Alto, CA, April 22-23, 2003, (Lecture Notes in Computer Science) (L. J. Guibas and F. Zhao, eds.),  pp. 17-31, Springer, New York, NY 2003.
• P. Ishwar, R. Puri, S. S. Pradhan, and K. Ramchandran, “On rate-constrained estimation in unreliable sensor networks,” in Information Processing in Sensor Networks: Second International Workshop, IPSN 2003, Palo Alto, CA, April 22-23, 2003, (Lecture Notes in Computer Science) (L. J. Guibas and F. Zhao, eds.),  pp. 178-192, Springer, New York, NY 2003.
• P. Ishwar and P. Moulin, “Image modeling and restoration – information fusion, set-theoretic methods, and the maximum entropy principle,” in Bayesian Inference and Maximum Entropy Methods in Science and Engineering: 20th International Workshop, Gif-sur-Yvette, France, 8-13 July 2000 (Ali Mohammad-Djafari, ed.), pp. 204-215, American Institute of Physics, 2001.

Conference Articles

• R. Jiang, P. Ishwar, and S. Aeron, “Hard Negative Sampling via Regularized Optimal Transport for Contrastive Representation Learning,” in Proc. INNS and IEEE International Joint Conference on Neural Networks (IJCNN), Gold Coast, Queensland, Australia, 18-23 Jun., 2023. [arXiv:2111.03169].
• B. Lyu, T. Nguyen, M. Scheutz, P. Ishwar, and S. Aeron, “A Principled Approach to Model Validation in Domain Generalization,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes Island, Greece, 4-10 Jun. 2023, DOI: 10.1109/ICASSP49357.2023.10094659.
• S. Paik, L. Guo, N. Zhou, Y. Zhao, G. Gao, M. Parekh, P. Ishwar, M. Betke, and D. Wijaya, “Crowdsourcing emotions on multimodal framing effects of gun violence news,” 73rd Annual International Communication Association Conference, Reclaiming Authenticity in Communication, Toronto, Canada, 25-29 May 2023.
• Z. Lu, M. Cokbas, P. Ishwar, and J. Konrad, “Estimating Distances Between People using a Single Overhead Fisheye Camera with Application to Social-Distancing Oversight,” 18th International Conference on Computer Vision Theory and Applications (VISAPP), Lisbon, Portugal, 19-21 Feb. 2023. [arXiv version]
• T. Nguyen, B. Lyu, P. Ishwar, M. Scheutz, and S. Aeron, “Trade-off between reconstruction loss and feature alignment for domain generalization,” in 21st IEEE International Conference on Machine Learning and Applications (ICMLA), Bahamas, Dec. 2022, DOI: 10.1109/ICMLA55696.2022.00132.
• M. Cokbas, J. Bolognino, J. Konrad, and P. Ishwar, “FRIDA: fisheye re-identification dataset with annotations,” in Proc. IEEE 18th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Madrid, Spain, Nov. 2022, DOI: 10.1109/AVSS56176.2022.9959697.
• G. Gao, S. Paik, C. Reardon, Y. Zhao, L. Guo, P. Ishwar, M. Betke, and D. Wijaya, “Prediction of People’s Emotional Response towards Multi-modal News,” The 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (AACL-IJCNLP), 10 pages, Nov. 2022.
• Cordella, C., Liu, H., Ishwar, P., Betke, M., and Kiran, S., “Toward personalized treatment recommendations: The promise of data-driven approaches in speech language pathology,” American Speech-LanguageHearing Association Convention, New Orleans, LA, USA, Nov. 2022.
• T. Nguyen, B. Lyu, P. Ishwar, M. Scheutz, and S. Aeron, “Conditional Entropy Minimization Principle for Learning Domain Invariant Representation Features,” 26th International Conference on Pattern Recognition (ICPR), Montreal, Canada, 21-25 Aug. 2022, DOI: 10.1109/ICPR56361.2022.9956548. [arXiv version]
• T. Nguyen, B. Lyu, P. Ishwar, S. Aeron, and M. Scheutz, “Joint covariate-alignment and concept-alignment: a framework for domain generalization,” in Proc. 32nd IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Xi’an, China, 22-25 Aug. 2022, DOI: 10.1109/MLSP55214.2022.9943435.
• Jiang, Y., Lai, S., Lei, G., Betke, M., Ishwar, P., and Wijaya, D., “Community Detection of the Framing Element Network: Proposing and Assessing a New Computational Framing Analysis Approach,” 105th AEJMC Annual Conference, Communication Theory and Methodology Division, Detroit, MI, Aug. 2022. [Top Method Paper]
• Chennuri S., Billot A., Lai S., Ishwar P., Betke M., and Kiran S., “Feature Analysis and Extraction for Post Aphasia Recovery Prediction,” 26th UK Conference on Medical Image Understanding and Analysis (MIUA), Cambridge, UK, 27-29 Jul. 2022.
• Lai, S., Jiang, Y., Guo, L., Betke, M., Ishwar, P., and Wijaya, D., “An Unsupervised Approach to Discover Media Frames,” in Proceedings of The LREC 2022 Workshop on Natural Language Processing for Political Sciences, Marseille, France, June 20-25, 2022, pp. 22-31, ISBN: 979-10-95546-88-7.
• M. Tezcan, Z. Duan, M. Cokbas, P. Ishwar, and J. Konrad, “WEPDTOF: A dataset and benchmark algorithms for in-the-wild people detection and tracking from overhead fisheye cameras,” in Proc. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 503-512, Jan. 2022, DOI: 10.1109/WACV51458.2022.00145.
• L. Patino, J. Boyle, J. Ferryman, J. Auer, J. Pegoraro, R. Pflugfelder, M. Cokbas, J. Konrad, P. Ishwar, G. Slavic, L. Marcenaro, Y. Jiang, Y. Jin, H. Ko, G. Zhao, G. Ben-Yosef, and J. Qiu, “PETS-2021: Throughfoliage detection and tracking challenge and evaluation,” in Proc. IEEE 17th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 16{19 Nov. 2021, DOI: 10.1109/AVSS52988.2021.9663837. [Challenge Winner]
• J. Bone, M. Cokbas, M. Tezcan, J. Konrad, and P. Ishwar, “Geometry-Based Person Reidentification in Fisheye Stereo,” in Proc. 17th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 16-19 Nov. 2021, DOI: 10.1109/AVSS52988.2021.9663745.
• I. Tourni, L. Guo, T. Daryanto, F. Zhafransyah, E. E. Halim, M. Jalal, B. Chen, S. Lai, H. Hu, M. Betke, P. Ishwar and D. T. Wijaya, “Detecting Frames in News Headlines and Lead Images in U.S. Gun Violence Coverage,” in Proc. International Conference on Empirical Methods in Natural Language Processing (EMNLP), online and in Punta Cana, Dominican Republic, 7-11 Nov., 2021, DOI: 10.18653/v1/2021.findings-emnlp.339.
• V. Bhatia, V. P. Akavoor, S. Paik, L. Guo, M. Jalal, A. Smith, D. A. Tofu, E. E. Halim, Y. Sun, M. Betke, P. Ishwar and D. T. Wijaya, “OpenFraming: Open-sourced Tool for Computational Framing Analysis of Multilingual Data,” Demonstration paper in International Conference on Empirical Methods in Natural Language Processing (EMNLP), online and in Punta Cana, Dominican Republic, 7-11 Nov., 2021, DOI 10.18653/v1/2021.emnlp-demo.28.
• M. Peng, M. Cokbas, U. D. Gallastegi, P. Ishwar, J. Konrad, B. Kulis and V. Goyal, “Convolutional Neural Network Denoising of Focused Ion Beam Micrographs,” in Proc. IEEE International Workshop on Machine Learning for Signal Processing (MLSP), online, 25-28 Oct., 2021, DOI: 10.1109/MLSP52302.2021.9596272.
• S. Lai, A. Billot, M. Varkanitsa, E. Braun, B. Rapp, T. Parrish, A. Kurani, J. Higgins, D. Caplan, C. Thompson, S. Kiran, M. Betke and P. Ishwar, “An Exploration of Machine Learning Methods for Predicting Post-stroke Aphasia Recovery,” in Proc. ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA), Workshop on Artificial Intelligence in Smart Healthcare Informatics (AISHI), Jun. 29 – Jul. 2, 2021, DOI: 10.1145/3453892.3461319.
• Billot A., Lai S., Varkanitsa M., Braun E. J., Rapp B., Parrish T. B., Kurani A. S., Higgins J., Caplan D., Thompson C. K., Betke M., Ishwar P., Kiran S., “Multimodal behavioral and neural data predict response to treatment in post-stroke aphasia,” Society for the Neurobiology of Language, online oral presentation, Oct. 2021.
• Billot A., Lai S., Varkanitsa M., Braun E. J., Rapp B., Parrish T. B., Kurani A. S., Higgins J., Caplan D., Thompson C. K., Ishwar P., Betke M., Kiran S., “Prediction of treatment-related language recovery in post-stroke aphasia from neuroimaging and behavioral data,” Cognitive Neuroscience Society, online poster presentation, Mar. 2021.
  
• A. Billot, S. Lai, M. Varkanitsa, E. J. Braun, Y. Gu, M. Bahrani, J. Bighetto, B. Rapp, T. B. Parrish, D. Caplan, C. K. Thompson, P. Ishwar, M. Betke, and S. Kiran, “Predicting post-stroke aphasia recovery from multimodal neuroimaging data,” 11th World Congress for Neurorehabilitation, online oral presentation, Oct. 2020.
• A. F. Akyürek, L. Guo, R. Elanwar, P. Ishwar, M. Betke and D. T. Wijaya, “Multi-label and Multilingual News Framing Analysis,” in Proc. 58th Annual Meeting of the Association for Computational Linguistics (ACL), Jul., 2020, DOI: 10.18653/v1/2020.acl-main.763.
• Z. Duan, M. Tezcan, H. Nakamura, P. Ishwar, and J. Konrad, “RAPiD: Rotation-aware people detection in overhead fisheye images,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Omnidirectional Computer Vision in Research and Industry (OmniCV) Workshop, Jun., 2020, DOI: 10.1109/CVPRW50498.2020.00326. [arXiv version]
• M. Cokbas, P. Ishwar, and J. Konrad,, “Low-resolution overhead thermal tripwire for occupancy estimation,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Perception Beyond Visible Spectrum (PBVS) Workshop, Jun., 2020, DOI: 10.1109/CVPRW50498.2020.00052. [arXiv version]
• J. Chen, J. Konrad, and P. Ishwar, “A cyclically-trained adversarial network for invariant representation learning,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Adverserial Machine Learning in Computer Vision (AMLCV) Workshop, Jun., 2020, DOI: 10.1109/CVPRW50498.2020.00399. [arXiv version]
• M. O. Tezcan, P. Ishwar, and J. Konrad, “BSUV-Net: A Fully-Convolutional Neural Network for Background Subtraction of Unseen Videos,” in Proc. IEEE Winter Conference on Applications of Computer Vision (WACV), Snowmass Village, CO, 2-5 Mar., 2020, DOI: 10.1109/WACV45572.2020.9093464. [arXiv version]
• H. Kawai, J. Chen, P. Ishwar, and J. Konrad, “VAE/WGAN-based Image Representation Learning for Pose-Preserving Seamless Identity Replacement in Facial Images,” in Proc. IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Pittsburgh, PA, 13-16 Oct., 2019.
• Y. Hu, A. Trachtenberg, and P. Ishwar, “Collaborative Privacy for Web Applications,” in Proc. 57th Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, 24-27 Sep., 2019. [arXiv version]
• A. Tripathy, Y. Wang, and P. Ishwar, “Privacy-Preserving Adversarial Networks,” in Proc. 57th Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, 24-27 Sep., 2019. [arXiv version]
• S. Li, M. O. Tezcan, P. Ishwar, and J. Konrad, “Supervised People Counting Using An Overhead Fisheye Camera,” in Proc. 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Taipei, Taiwan, 18-21 Sep., 2019.
• J. Zhao, N. Frumkin, P. Ishwar, and J. Konrad, “CNN-Based Indoor Occupant Localization via Active Scene Illumination,” in Proc. IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 22-25 Sep., 2019.
• J. Chen, J. Konrad, and P. Ishwar, “VGAN-based image representation learning for privacy-preserving facial expression recognition,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Workshop on Challenges and Opportunities for Privacy and Security (COPS), Salt Lake City, UT, 22 Jun., 2018.
• J. Zhao, N. Frumkin, J. Konrad, and P. Ishwar, “Privacy-preserving indoor localization via active scene illumination,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Workshop on Challenges and Opportunities for Privacy and Security (COPS), Salt Lake City, UT, 22 Jun., 2018.
• P. Durga, R. K. Pathinarupothi, E. S. Rangan, and P. Ishwar, “When Less is Better: A Summarization Technique that Enhances Clinical Effectiveness of Data,” in Proceedings of the ACM International Conference on Digital Health, Lyon, France, 23-26 Apr., 2018.
• J. Chen, J. Wu, J. Konrad, and P. Ishwar, “Semi-Coupled Two-Stream Fusion ConvNets for Action Recognition at Extremely Low Resolutions,” in Proc. IEEE Winter Conference on Applications of Computer Vision (WACV), Santa Rosa, CA, 24-31 Mar., 2017. [arXiv version]
• C. Lin, P. Ishwar, and W. Ding, “Node Embedding for Network Community Discovery,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), New Orleans, LA, 5-9 Mar., 2017. [arXiv version]
• Y. Wang, N. Raval, P. Ishwar, M. Hattori, T. Hirano, N. Matsuda, and R. Shimizu, “On Methods for Privacy-Preserving Energy Disaggregation,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), New Orleans, LA, 5-9 Mar., 2017.
• J. Zhao, P. Ishwar, and J. Konrad, “Privacy-Preserving, Indoor Localization via Light Transport Analysis,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), New Orleans, LA, 5-9 Mar., 2017.
• D. Roeper, J. Chen, J. Konrad, and P. Ishwar, “Privacy-Preserving, Indoor Occupant Localization Using a Network of Single-Pixel Sensors,” in Proc. IEEE Int. Conf. Advanced Video and Signal-Based Surveillance (AVSS), Colorado Springs, CO, 24-26 Aug., 2016, pp. 214-220.
• J. Wu, P. Ishwar, and J. Konrad, “Two-Stream CNNs for Gesture-Based Verification and Identification: Learning User Style,” in Proc. IEEE Computer Society Workshop on Biometrics at CVPR’16, Las Vegas, NV, 26 Jun., 2016.
• J. Chen, J. Wu, K. Richter, J. Konrad, and P. Ishwar, “Estimating Head Pose Orientation Using Extremely Low Resolution Images,” in Proc. IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI), Santa Fe, NM, 6-8 Mar., 2016.
• Y. O. Basciftci, Y. Wang, and P. Ishwar, “On Privacy-Utility Tradeoffs for Constrained Data Release Mechanisms,” in Proc. 11th IEEE International Workshop on Information Theory and Applications (ITA), San Diego, CA, 31 Jan. – 5 Feb., 2016. [Invited paper][pdf]
• J. Dai, B. Saghafi, J. Wu, J. Konrad, and P. Ishwar, “Towards Privacy-Preserving Recognition of Human Activities,” in Proc. IEEE International Conference on Image Processing (ICIP), Quebec-City, Canada, 27-30 Sep., 2015, pp. 4238-4242.
• J. Wu, J. Christianson, J. Konrad, and P. Ishwar, “Leveraging Shape and Depth in User Authentication from In-air Hand Gestures,” in Proc. IEEE International Conference on Image Processing (ICIP), Quebec-City, Canada, 27-30 Sep., 2015, pp. 3195-3199.
• J. Dai, J. Wu, B. Saghafi, J. Konrad, and P. Ishwar, “Towards Privacy-Preserving Activity Recognition Using Extremely Low Temporal and Spatial Resolution Cameras,” in the  Sixth IEEE Workshop on Analysis and Modeling of Faces and Gestures (AMFG) at CVPR’15, Boston, MA, 12 Jun., 2015, pp. 68-76.
• W. Ding, P. Ishwar, and V. Saligrama, “A Topic Modeling Approach to Ranking,” in Proc. International Conference on Artificial Intelligence and Statistics (AIStats), San Diego, CA, 9-12 May, 2015.
• W. Ding, P. Ishwar, and V. Saligrama,  “Learning Shared Rankings from Mixtures of Noisy Pairwise Comparisons,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, Australia, 19-24 Apr., 2015, pp. 5446-5450.
• W. Ding, P. Ishwar, and V. Saligrama, “Most Large Topic Models are Approximately Separable,” in Proc. 10th IEEE International Workshop on Information Theory and Applications (ITA), San Diego, CA, 1-6 Feb., 2015, pp. 199-203. [Invited paper][pdf]
• W. Ding, P. Ishwar, and V. Saligrama, “A Topic Modeling Approach to Rank Aggregation,” in Advances in Neural Information Processing Systems (NIPS), Workshop on Analysis of Rank Data: Confluence of Social Choice, Operations Research, and Machine Learning, Montreal, Canada, 13 Dec., 2014. [Student Best Paper Award] [arXiv version]
• Y. Wang, P. Ishwar, and S. Rane, “An Elementary Completeness Proof for Secure Two-Party Computation Primitives,” in Proc. IEEE International Information Theory Workshop (ITW), Tasmania, Australia, 2-5 Nov., 2014, pp. 521-525. [arXiv version]
  
• J. Wu, P. Ishwar, and J. Konrad, “The Value of Posture, Build and Dynamics in Gesture-Based User Authentication,” in Proc. IEEE International Joint Conference on Biometrics (IJCB), Clearwater, FL, 29 Sep. – 2 Oct., 2014, pp. 1-8.
• J. Wu, P. Ishwar, and J. Konrad, “Silhouettes versus Skeletons in Gesture-Based Authentication with Kinect,” in Proc. IEEE Int. Conf. Advanced Video and Signal-Based Surveillance (AVSS), Seoul, Korea, 26-29 Aug., 2014, pp. 99-106.
• Y. Wang, P.-M. Jodoin, F. Porikli, J. Konrad, Y. Benezeth, and P. Ishwar, “CDnet 2014: An Expanded Change Detection Benchmark Dataset,” in Proc. IEEE Workshop on Change Detection (CDW’14) at CVPR’14, Columbus, OH, 28 Jun., 2014, pp. 393-400.
• J. Wu, J. Konrad, and P. Ishwar, “The Value of Multiple Viewpoints in Gesture-Based User Authentication,” in the IEEE Computer Society Workshop on Biometrics at CVPR’14, Columbus, OH, 23 Jun., 2014, pp. 90-97.
• L. Martin, W. C. Karl, and P. Ishwar, “Artifact reduction in dual-energy CT reconstruction for security applications,” in Proc. The Third International Conference on Image Formation in X-Ray Computed Tomography, Salt Lake City, UT, 22-25 Jun., 2014, pp. 133-136.
• W. Ding, P. Ishwar, V. Saligrama, and W. C. Karl, “Sensing-aware Kernel SVM,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, 4-9 May, 2014, pp. 2947-2951. [arXiv version]
• L. Martin, W. C. Karl, and P. Ishwar, “Structure-preserving dual-energy CT for luggage screening,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, 4-9 May, 2014, pp. 1175-1179.
• W. Ding, M. H. Rohban, P. Ishwar, and V. Saligrama, “Efficient distributed topic modeling with provable guarantees,” in Proc. International Conference on Artificial Intelligence and Statistics (AIStats), Reykjavik, Iceland, 22-25 Apr., 2014.
• L. Martin, A. Tuysuzoglu, P. Ishwar, and W. C. Karl, “Joint metal artifact reduction and material discrimination in X-ray CT using a learning-based graph-cut method,” in Proc. SPIE International Conference on Computational Imaging XII, San Francisco, CA, 2 Feb. 2014, vol. 9020.
• W. Ding, P. Ishwar, M. H. Rohban, and V. Saligrama, “Necessary and Sufficient Conditions for Novel Word Detection in Separable Topic Models,” in Advances in Neural Information Processing Systems (NIPS), Workshop on Topic Models: Computation, Application, Evaluation, Lake Tahoe, NV, USA, 10 Dec., 2013. [arXiv version]
• Y. Wang, S. Rane, and P. Ishwar, “On Unconditionally Secure Multiparty Computation for Realizing Correlated Equilibria in Games,” in Proc. IEEE Global Conference on Signal and Information Processing (GlobalSIP), Symposium on Cyber-Security and Privacy, Austin, TX, USA, 3-5 Dec., 2013,  pp. 241-244. [arXiv version]
  
• W. Ding, P. Ishwar, and V. Saligrama, “Dynamic Topic Discovery through Sequential Projections,” in Proc. Forty-Seventh Annual Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, 3-6 Nov., 2013, pp. 1100-1104.
• M. H. Rohban, P. Ishwar, B. Orten, W.C. Karl, and V. Saligrama, “An Impossibility Result for High Dimensional Supervised Learning,” in Proc. IEEE International Information Theory Workshop (ITW), Seville, Spain, 9-13 Sep., 2013, pp. 1-5. [arXiv version]
  
• Y. Wang, P. Ishwar, and S. Rane, “Information-Theoretically Secure Three-Party Computation with One Corrupted Party,” in Proc. IEEE International Symposium on Information Theory, Istanbul, Turkey, 7-12 Jul., 2013, pp. 3160-3164.
  
• W. Ding, M. H. Rohban, P. Ishwar, and V. Saligrama,“Topic Discovery through Data-Dependent and Random Projections,” in Proc. IEEE International Conference on Machine Learning (ICML), Atlanta GA, USA, 16-21 Jun., 2013, JMLR W&CP 28 (3): 1202–1210. [Oral presentation] [arXiv version]
• W. Ding, M. H. Rohban, P. Ishwar, and V. Saligrama, “A new geometric approach to latent topic modeling and discovery,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, 26-31 May, 2013, pp. 5568-5572.
  
• J. Wu, J. Konrad, and P. Ishwar, “Dynamic Time Warping for Gesture-based user Identification and Authentication with Kinect,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, 26-31 May, 2013, pp. 2371-2375.
• M. Wang, P. Ishwar, J. Konrad, C. Gazen, and R. Saboo, “Coherent image selection using a fast approximation to the generalized traveling salesman problem,” in Proc. 20th ACM International Conference on Multimedia (MM), Nara, Japan, 29 Oct.-2 Nov, 2012, pp. 981-984.
• K. Lai, J. Konrad, and P. Ishwar, “Towards gesture-based user authentication,” in Proc. IEEE Int. Conf. Advanced Video and Signal-Based Surveillance (AVSS), Beijing, China, 18-21 Sep. 2012, pp. 282-287.
• Z. Sun, W. C. Karl, P. Ishwar, and V. Saligrama,“Sensing aware dimensionality reduction for nearest neighbor classification of high dimensional signals,” in Proc. IEEE International Statistical Signal Processing (SSP) Workshop, Ann Arbor, MI, 5-8 Aug., 2012, pp. 405-408. [Special session on “Challenges in High-Dimensional Learning and Inference: Fundamental Limits and Algorithms”.]
• K. Lai, J. Konrad, and P. Ishwar, “GestureMouse: A Flexible Gesture-Based User Interface,” in the ChaLearn Gesture Challenge Demonstration Competition at CVPR’12, Providence, RI, 16-21 Jun., 2012.
• J. Konrad, M. Wang, and P. Ishwar, “2D-to-3D image conversion by learning depth from examples,” in 3D Cinematography Workshop (3DCINE’12) at CVPR’12, Providence, RI, 16-21 Jun., 2012, pp. 16-22.
• N. Goyette, P.-M. Jodoin, F. Porikli, J. Konrad, and P. Ishwar, “changedetection.net: A new change detection benchmark dataset,” in Proc. IEEE Workshop on Change Detection (CDW’12) at CVPR’12, Providence, RI, 16-21 Jun., 2012, pp. 1-8.
• K. Lai, J. Konrad, and P. Ishwar, “A gesture-driven computer interface using Kinect,” in Proc. IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI), Santa Fe, New Mexico, 22-24 Apr., 2012, pp. 185-188.
• J. Konrad, G. Brown, M. Wang, P. Ishwar, C. Wu, and D. Mukherjee,“Automatic 2D-to-3D image conversion using 3D examples from the Internet,” in Proc. IST/SPIE International Symposium on Electronic Imaging: Science and Technology, Conference on Stereoscopic Displays and Applications (SDA), San Francisco, CA, vol. 8288, 23-25 Jan. 2012.
• B. Orten, P. Ishwar, W. C. Karl, and V. Saligrama,“Sensing structure in learning-based binary classification of high-dimensional data,” in Proc. 49th Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, 28-30 Sep., 2011, pp. 1521-1528. [Invited paper in special session on distributed inference in sensor networks]
• Y. Wang and P. Ishwar,“On unconditionally secure multi-party sampling from scratch,” in Proc. IEEE International Symposium on Information Theory, Saint Petersburg, Russia, 31 Jul. – 5 Aug., 2011, pp. 1782-1786 [ISIT 2011 student paper award finalist].
• M. Wang, J. Konrad, P. Ishwar, Y-K. Jing, and H. Rowley, “Image saliency: from intrinsic to extrinsic context,” in Proc. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, CO, 21-23 Jun., 2011, pp. 417-424.
• L. Eger, S. Do, P. Ishwar, W. C. Karl, and H. Pien, “A learning-based approach to explosives detection using multi-energy x-ray computed tomography,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, 22-27 May, 2011, pp. 2004-2007.
• B. Orten, P. Ishwar, W. C. Karl, and V. Saligrama, “Sensing-aware classification with high-dimensional data,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, 22-27 May, 2011, pp. 3700-3703.
• L. Eger, P. Ishwar, W. C. Karl, and H. Pien, “Classification-aware dimensionality reduction methods for explosives detection using multi-energy x-ray computed tomography,” in Proc. SPIE International Conference on Computational Imaging IX, San Francisco, CA, 7 Feb. 2011, vol. 7873.
• Y. Wang, S. Rane, S. C. Draper, and P. Ishwar,“An information-theoretic analysis of revocability and reusability in secure biometrics,” in Proc. 6th IEEE International Workshop on Information Theory and Applications (ITA), San Diego, CA, 6-11 Feb., 2011, pp.  1-10. [Invited paper]
• Y. Wang, S. Rane, W. Sun, and P. Ishwar,“On unconditionally secure computation with vanishing communication cost,” in Proc. 48th Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, 29 Sep. – 1 Oct., 2010, pp. 944-950.
• K. Guo, P. Ishwar, and J. Konrad, “Action recognition using sparse representation on covariance manifolds of optical flow,” in  Proc. 7th IEEE-ACM International Conference on Advanced Video and Signal-Based Surveillance (AVSS), Boston, MA, 29 Aug. – 1 Sep., 2010, pp. 188-195. [AVSS 2010 Best Paper Award]
• K. Guo, P. Ishwar, and J. Konrad, “Action recognition in video by sparse representation on covariance manifolds of silhouette tunnels,” in Proc. IEEE International Conference on Pattern Recognition (ICPR), Istanbul, Turkey, 23 – 26 Aug., 2010. [Semantic Description of Human Activities Contest, SDHA contest web site, Winner of Aerial View Activity Classification Challenge]
• N. Ma and P. Ishwar,“Infinite-message interactive function computation in collocated networks,” in Proc. IEEE International Symposium on Information Theory (ISIT), Austin, TX, 13-18 Jun., 2010, pp. 1868-1872.
• N. Ma and P. Ishwar,“Interaction strictly improves the Wyner-Ziv rate-distortion function,” in Proc. IEEE International Symposium on Information Theory (ISIT), Austin, TX, 13-18 Jun., 2010, pp. 61-65.
• K. Guo, P. Ishwar, and J. Konrad,“Action change detection in video by covariance matching of silhouette tunnels,” in Proc. IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), Dallas, TX, 14-19 Mar., 2010, pp. 1110-1113.
• K. Guo, P. Ishwar, and J. Konrad,“Action recognition in video by covariance matching of silhouette tunnels,” in Proc. XXII Brazilian Symposium on Computer Graphics and Image Processing (Sibgrapi), Rio de Janeiro, Brazil, 11-14 Oct., 2009, pp. 299-306.
• N. Ma and P. Ishwar,“Infinite-message distributed source coding for two-terminal interactive computing,” in Proc. 47th Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, 30 Sep. – 2 Oct., 2009, pp. 1510-1517. [Invited paper in special session on multiterminal source coding]
• Y. Wang and P. Ishwar,“Bootstrapped oblivious transfer and secure two-party function computation,” in Proc. IEEE International Symposium on Information Theory (ISIT), Coex, Seoul, Korea, 28 Jun. – 3 Jul., 2009, pp. 1303-1307.
• N. Ma, P. Ishwar, and P. Gupta, “Information-theoretic bounds for multiround function computation in collocated networks,” in Proc. IEEE International Symposium on Information Theory (ISIT), Coex, Seoul, Korea, 28 Jun. – 3 Jul., 2009, pp. 2306-2310.
• N. Ma and P. Ishwar,“Two-terminal distributed source coding with alternating messages for function computation,” in Proc. IEEE International Symposium on Information Theory (ISIT), Toronto, Canada, 6-11 Jul., 2008, pp. 51-55.
• A. Kumar, H. Qin, P. Ishwar, J. Rabaey, and K. Ramchandran,“Fundamental data retention limits in SRAM standby experimental results,” in Proc. 9th IEEE International Symposium on Quality Electronic Design (ISQED), San Jose, CA, 17-19 Mar. 2008, pp. 92-97.
• H. Qin, A. Kumar, K. Ramchandran, J. Rabaey, and P. Ishwar,“Error-tolerant SRAM design for ultra-low power standby operation,” in Proc. 9th IEEE International Symposium on Quality Electronic Design (ISQED), San Jose, CA, 17-19 Mar. 2008, pp. 30-34.
• P. Ishwar and S. S. Pradhan,“A relay-assisted distributed source coding problem,” in Proc. 3rd IEEE International Workshop on Information Theory and Applications (ITA), San Diego, CA, 27 Jan. – 1 Feb., 2008, pp. 136-141. [Invited paper]
• M. Sharif and P. Ishwar,“Benefit of delay on the diversity-multiplexing tradeoffs of MIMO channels with partial CSI,” in Proc. IEEE International Symposium on Information Theory (ISIT), Nice, France, 24-29 Jun., 2007, pp. 2831-2835.
• N. Ma and P. Ishwar,“The value of frame-delays in the sequential coding of correlated sources,” in Proc. IEEE International Symposium on Information Theory (ISIT), Nice, France, 24-29 Jun., 2007, pp. 1496-1500.
• Y. Wang and P. Ishwar,“On non-parametric field estimation using randomly deployed, noisy, binary sensors,” in Proc. IEEE International Symposium on Information Theory (ISIT), Nice, France, 24-29 Jun., 2007, pp. 686-690.
• T. D. C. Little, J. Konrad, and P. Ishwar,“A wireless video sensor network for autonomous coastal sensing,” in Proc. Conference on Coastal Environmental Sensing Networks (CESN), Boston, MA, Apr., 2007, pp. 19-23.
• A. Kumar, H. Qin, P. Ishwar, J. Rabaey, and K. Ramchandran, “Fundamental bounds on power reduction during data-retention in standby SRAM,” in Proc. IEEE International Symposium on Circuits and Systems (ISCAS), New Orleans, LA, 27-30 May, 2007, pp. 1867-1870.
• A. Kumar, H. Qin, P. Ishwar, J. Rabaey, and K. Ramchandran,“Fundamental redundancy versus power trade-off in standby SRAM,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Honolulu, Hawaii, 15-20 Apr., 2007, pp, II-85-II-88.
• N. Ma, Y. Wang, and P. Ishwar,“Delayed sequential coding of correlated sources,” in Proc. 2nd IEEE International Workshop on Information Theory and Applications (ITA), San Diego, CA, 29 Jan. –  2 Feb., 2007, pp. 214-222. [Invited paper]
• Y. Wang, N. Ma, M. Zhao, P. Ishwar, and V. Saligrama, “On universal distributed estimation of noisy fields with one-bit sensors,” in Proc. 44tℎ Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, Sep. 2006, pp. 741-750. [Invited paper in special session on cooperative wireless communications and sensing]
• I. Stojanovic, M. Sharif, and P. Ishwar,“On the diversity-multiplexing region of broadcast channels with partial channel state information,” in Proc. 44th Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, Sep. 2006, pp. 322-329.
• P. Ishwar, V. Prabhakaran, and K. Ramchandran,“On source encoding with side-information under ambiguous state of nature,” in Proc. 2006 IEEE International Symposium on Information Theory (ISIT), Seattle, WA, 9-14 Jul., pp. 479-483.
• A. Majumdar, R. Puri, P. Ishwar and K. Ramchandran, “Complexity/performance trade-offs for robust distributed video coding,” in Proc. IEEE International Conference on Image Processing (ICIP), Genova, Italy, 11-14 Sep., 2005, vol. 2, pp. 678-681. [Invited paper in special session on distributed video coding]
• P. Ishwar, R. Puri, A. Majumdar, and K. Ramchandran,“Analysis of motion-complexity and robustness for video transmission,” in Proc. IEEE CommSoc/TCCC International Conference on Wireless Networks, Communications, and Mobile Computing (Wirelesscom), Maui, HI, 13-16 Jun., 2005, vol. 2, pp. 1261-1265.
• S. Draper, P. Ishwar, D. Molnar, V. Prabhakaran, K. Ramchandran, D. Schonberg, and D. Wagner,“An evaluation of PMF-based tests for detection of least significant bit image steganography,” in Proc. 7th International Workshop on Information Hiding (IH), Barcelona, Spain, 6-8 Jun., 2005, pp. 327-341.
• P. Ishwar and K. Ramchandran,“On decoder-latency versus performance tradeoffs in differential predictive coding,” in Proc. IEEE International Conference on Image Processing (ICIP), Singapore, 24-27 Oct., 2004, vol. 2, pp. 1097-1100.
• A. Kumar, P. Ishwar, and K. Ramchandran, “On distributed sampling of bandlimited and smooth non-bandlimited sensor fields,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Montreal, Canada, 17-21 May, 2004, vol. 3, pp. 925-928. [Invited paper in the special session on distributed digital signal processing for sensor networking]
• P. Ishwar, V. M. Prabhakaran, and K. Ramchandran, “On joint classification and compression in a distributed source coding framework,” in Proc. IEEE Statistical Signal Processing (SSP) Workshop, St. Louis, MO, 28 Sep. – 1 Oct., 2003, pp. 34-37. [Invited paper in the special session on compression for sensor networks]
• P. Ishwar, A. Kumar, and K. Ramchandran, “On distributed sampling in dense sensor networks: a “bit-conservation” principle,” in Proc. 41st Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, 1-3 Oct. 2003, pp. 80-89. [Invited paper in special session on wireless ad-hoc and sensor networks]
• P. Ishwar, V. M. Prabhakaran, and K. Ramchandran,“Compressing encrypted sources using side-information coding,” in Proc. IEEE International Symposium on Information Theory (ISIT), Chicago, IL, 27 Jun. – 2 Jul., 2004, page 210.
• P. Ishwar, V. M. Prabhakaran, and K. Ramchandran,“Towards a theory for video coding using distributed compression principles,” in Proc. IEEE International Conference on Image Processing (ICIP), Barcelona, Spain, 14-17 Sep., 2003, vol. 2, pp. 687-690.
• P. Ishwar, R. Puri, S. S. Pradhan, and K. Ramchandran,“On compression for robust estimation in sensor networks,” in Proc. IEEE International Symposium on Information Theory (ISIT), Yokohama, Japan, 29 Jun. – 4 Jul., 2003, page 193.
• R. Puri, P. Ishwar, S. S. Pradhan, and K. Ramchandran,“Rate-constrained robust estimation for unreliable sensor networks,” in Proc. Thirty-Sixth Annual Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, 3-6 Nov., 2002, vol. 1, pp. 235-239.
• P. Ishwar and P. Moulin,“Shift invariant restoration – an overcomplete maxent MAP framework,” in Proc. IEEE International Conference on Image Processing (ICIP), Vancouver, Canada, 10-13 Sep., 2000, vol. 3, pp. 270-272.
• P. Ishwar and P.Moulin,“Fundamental equivalences between set-theoretic and maximum-entropy methods in multiple-domain image restoration,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Istanbul, Turkey, 5-9 Jun., 2000, vol. 1, pp. 161-164.
• M. Singh, P. Ishwar, K. Ratakonda, and N. Ahuja,“Segmentation based denoising using multiple compaction domains,” in Proc. IEEE International Conference on Image Processing (ICIP), Kobe, Japan, 24-28 Oct., 1999, vol. 1, pp. 372-375.
• P. Ishwar and P. Moulin,“Multiple-domain image modeling and restoration,” in Proc. IEEE International Conference on Image Processing (ICIP), Kobe, Japan, 24-28 Oct., 1999, vol. 1, pp. 362-366.
• P. Ishwar, K. Ratakonda, P. Moulin, and N. Ahuja, “Image denoising using multiple compaction domains,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seattle, WA, 12-15 May, 1998, vol. 3, pp. 1889-1892. [Invited paper in special session on the role of sparsity in signal processing]
• P. Ishwar and P. Moulin,“Switched control grid interpolation for motion compensated video coding,” in Proc. IEEE International Conference on Image Processing (ICIP), Santa Barbara, CA, 26-29 Oct., 1997, vol. 3, pp. 650-653.
• P. Ishwar, V. M. Gadre, and M. Moudgil, “A wavelet network approach to the non-linear, discrete system identification problem,” in Proc. Second National Conference on Communications (NCC), Bombay, India, Apr. 1996, pp. 193-197.

Theses

• P. Ishwar, A unified framework for image modeling and estimation using measurement constraints, PhD  thesis, Department of Electrical and Computer Engineering, University of Illinois, Urbana, IL, June 2002. (Supervisor: Prof. Pierre Moulin).
• P. Ishwar, On spatial adaptation of smoothness of motion and intensity fields in video coding, MS thesis, Department of Electrical and Computer Engineering, University of Illinois, Urbana, IL, December 1998. (Supervisor: Prof. Pierre Moulin).
• P. Ishwar, Role of multiresolution principles in system identification and adaptive networks, BTech thesis, Department of Electrical Engineering, Indian Institute of Technology, Mumbai, India, April 1996. (Supervisor: Prof. Vikram Gadre).

Patents

• J. Konrad, P. Ishwar, T. Little, and M. Gevelber, “Fusion-based occupancy sensing for building systems,” US Patent 11193688, Dec. 7, 2021.
• Y. Wang, P. Ishwar, and A. S. Tripathy, “Data-Driven Privacy-Preserving Communication,” US Patent 11132453, Sep. 28, 2021.
• Y. Wang, N. J. Raval, and P. Ishwar, “Method and systems using privacy-preserving analytics for aggregate data,” US Patent 10452865, Oct. 22, 2019.
• S. Rane, Y. Wang, W. Sun, and P. Ishwar, “Secure multi-party computation of normalized sum-type functions,” US Patent 8473537, Jun. 25, 2013.