• BS, Electronics and Communications Engineering, Indian Institute of Technology, 2001
• Ph D, Electrical and Computer Engineering, The University of Texas at Austin, 2005

Books

Vishal Monga, 2018, Handbook of Convex Optimization Methods in Imaging Science, Springer, pp. 228

Journal Articles

Junho Kweon, Hang Jing, Yan Li and Vishal Monga, 2024, "Small-signal stability enhancement of islanded microgrids via domain-enriched optimization", Applied Energy, Volume 353, Part B

Trung Hoang, Kyle S. Dalton, Isaac D. Gerg, Thomas E. Blanford, Daniel C. Brown and Vishal Monga, 2023, "Resonant Scattering-Inspired Deep Networks for Munition Detection in 3D Sonar Imagery", IEEE Transactions on Geoscience and Remote Sensing, 61, pp. 1-17

Mingzhao Yu, Mallory Peterson, Venkateswararao Cherukuri, Edith Mbabazi-Kabachelor, Ronnie Mulondo, Brian Nsubuga Kaya, James Broach, Vishal Monga and Steven Schiff, 2023, "Infection diagnosis in hydrocephalus CT images: a domain enriched attention learning approach", Journal of Neural Engineering, 20, pp. 14

Isaac D Gerg and Vishal Monga, 2023, "Deep Multi-Look Sequence Processing for Synthetic Aperture Sonar Image Segmentation", IEEE Transactions on Geoscience and Remote Sensing, 61, pp. 1-15

Vishal Monga, Hang Jing, Junho Kweon and Yan Li, 2022, "Enhancing Dynamic Resilience of Networked Microgrids with a High Penetration of Power-Electronic-Interfaced DERs", IEEE Power and Energy Society General Meeting (PSEGM)

Vishal Monga, Sharon Kuo, Lily Demars, Amirsaeed Yazdani, Venkateswararao Cherukuri, Yung-Chen Sun, Antony Colombo, Nick Stephens and Timothy Ryan, 2022, "Applications of a regularized deep network micro-CT image auto-segmentation approach to morphological data", AMERICAN JOURNAL OF BIOLOGICAL ANTHROPOLOGY, pp. 2

Vishal Monga and Isaac Gerg, 2022, "Iterative, Deep Synthetic Aperture Sonar Image Segmentation", IEEE Transactions on Geoscience and Remote Sensing, pp. 15

Vishal Monga, Xuelu Li and Raja Bala, 2022, "Robust Deep 3D Blood Vessel Segmentation Using Structural Priors", IEEE Transactions on Image Processing, pp. 14

Amirsaeed Yazdani, Sumit Agarwal, Sri-Rajasekhar Kothapalli and Vishal Monga, 2021, "Simultaneous Denoising and Localization Network for Photoacoustic Target Localization", IEEE Transactions on Medical Imaging, 40, (9), pp. 13

Mallory Peterson, Venkateswararao Cherukuri, Joseph Paulson, Paddy Ssentongo, Abhaya Kulkarni, Benjamin C Warf, Vishal Monga and Steven J Schiff, 2021, "Normal Childhood Brain Growth and a Universal Sex and Anthropomorphic Relationship to Cerebrospinal Fluid", Journal of Neurosurgery: Pediatrics, 28, (4)

Steven J Schiff, Abhaya V Kulkarni, Edith Mbabazi Kabachelor, JOhn Mugamba, Ruth Donnelly, Jody Levenbach, Vishal Monga, Mallory Peterson, Venkateswararao Cherukuri and Benjamin C Warf, 2021, "Brain growth after surgical treatment for infant postinfectious hydrocephalus in Sub-Saharan Africa: 2-year results of a randomized trial", Journal of Neurosurgery: Pediatrics, 28, (3)

Jun Shi, Yanan Zhao, Wei Xiang, Vishal Monga, Xiaoping Liu and Ran Tao, 2021, "Deep Scattering Network with Fractional Wavelet Transform", IEEE Transactions on SIgnal Processing, 69

Vishal Monga, Yuelong Li and Yonina C Eldar, 2021, "Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing", IEEE Signal Processing Magazine, 38, (2), pp. 25

Vishal Monga, Khaled Alhujaili, Xianxiang Yu and Guolong Cui, 2020, "Spectrally Compatible MIMO Radar Beampattern Design Under Constant Modulus Constraints", IEEE Transactions on Aerospace and Electronic Systems, 56, (6)

Vishal Monga, Xuelu Li and Abhijit Mahanalobis, 2020, "Multi-view Automatic Target Recognition for Infrared Imagery Using Collaborative Sparse Priors", IEEE Transactions on Geoscience and Remote Sensing, 58, (10)

Vishal Monga, Yuelong Li, Mohammad Tofighi, Junyi Geng and Yonina Eldar, 2020, "Efficient and Interpretable Deep Blind Image Deblurring Via Algorithm Unrolling", IEEE Transactions on Computational Imaging, 6, (1)

Vishal Monga, Venkateswararao Cherukuri, BGVijay Kumar and Raja Bala, 2020, "Deep Retinal Image Segmentation with Regularization Under Geometric Priors", IEEE Transactions on Image Processing, 29, (1)

Vishal Monga, Venkateswararao Cherukuri, Tiantong Guo and Steven J Schiff, 2020, "Deep MR Brain Image Super-Resolution Using Spatio-Structural Priors", IEEE Transactions on Image Processing, 29, (1), pp. 1368-1383

Vishal Monga, Yuelong Li and Mohammad Tofighi, 2019, "Robust Alignment for Panoramic Stitching Via an Exact Rank Constraint", IEEE Transactions on Image Processing, 28, (10), pp. 4730-4745

Vishal Monga, 2019, "Prior Information Guided Deep Learning for Cell Nucleus Detection", IEEE Transactions on Medical Imaging, 38, (9), pp. 2047-2058

Vishal Monga, Tiantong Guo and Hojjat Seyed Mousavi, 2019, "Adaptive Transform Domain Image Superresolution Via Orthogonally Regularized Deep Networks", IEEE Transactions on Image Processing, 28, (9), pp. 4685-4700

Tiep Vuu Hu, Lam Nguyen and Vishal Monga, 2019, "Classifying Multi-Channel UWB SAR Imagery Via Tensor Sparsity Learning Techniques", IEEE Transactions on Aerospace and Electronic Systems, 55, (4), pp. 1712-1724

Vishal Monga, Khaled Alhujaili and Muralidhar Rangaswamy, 2019, "Transmit MIMO Radar Beampattern Design Via Optimization on the Complex Circle Manifold", IEEE Transactions on Signal Processing, 67, (13), pp. 3561-3575

Bosung Kang, Omar Aldayel, Vishal Monga and Muralidhar Rangaswamy, 2019, "Spatio-spectral Radar Beampattern Design for Co-existence with Wireless Communication Systems", IEEE Transactions on Aerospace and Electronic Systems, 55, (2), pp. 644-657

Srinkanth Kuthuru, William Deadrick, Harrison Bai, Tiep Vu Huu, Vishal Monga and UK Arvind Rao, 2018, "A Visually Interpretable Dictionary Based Approach to Imaging-Genomic Modeling With Low-Grade Glioma as a Case Study", Cancer Informatics, (17), pp. 7

Venkateswararao Cherukuri, Peter Ssenyonga, Benjamin Warf, Abhay Kulkarni, Vishal Monga and Steven Schiff, 2018, "Learning Based Segmentation of CT Brain Images: Application to Postoperative Hydrocephalic Scans", IEEE Transactions on Biomedical Engineering, 65, (8), pp. 14

Mohammad Tofighi, Yuelong Li and Vishal Monga, 2018, "Blind Image Deblurring Using Row-Column Sparse Representations", IEEE Signal Processing Letters, 25, (2), pp. 5

Vishal Monga, Abhaya V Kulkarni, Steven J Schiff, Edith Mbabazi-Kabachelor, John Mugamba, Peter Ssenyonga, Ruth Donnelly, Jody Levenbach, Mallory Peterson, Michael MacDonald, Venkateswararao Cherukuri and Benjamin C Warf, 2017, "Endoscopic Treatment versus Shunting for Infant Hydrocephalus in Uganda", New England Journal of Medicine, 377, pp. 2456-2464

Vishal Monga and Hojjat Mousavi, 2017, "Sparsity-based Color Image Super Resolution via Exploiting Cross Channel Constraints", IEEE Transactions on Image Processing, 26, (11), pp. 5094-5106

Vishal Monga and Tiep Huu Vu, 2017, "Fast low-rank shared dictionary learning for image classification", IEEE Transactions on Image Processing, 26, (11), pp. 5160-5175

Vishal Monga, John McKay and Raghu Raj, 2017, "Robust SONAR ATR Through Bayesian Pose Corrected Sparse Classification", IEEE Transactions on Geoscience and Remote Sensing, 55, (10), pp. 5563-5576

Vishal Monga, Omar Aldayel and Muralidhar Rangaswamy, 2017, "Tractable Transmit MIMO Beampattern Design under a Constant Modulus Constraint", IEEE Transactions on Signal Processing, 65, (10), pp. 2588-2599

Vishal Monga, Yuelong Li and Chul Lee, 2017, "A Maximum a Posteriori Estimation Framework for Robust High Dynamic Range Video Synthesis", IEEE Transactions on Image Processing, 26, (3), pp. 1143-1157

Vishal Monga and Chul Lee, 2016, "Power Constrained RGB to RGBW Conversion for Emissive Displays: Optimization Based Approaches", IEEE Transactions on Circuits and Systems for Video Technology, 26, (10), pp. 1821-1834

Vishal Monga, Bosung Kang, Muralidhar Rangaswamy and Yuri Abramovich, 2016, "Expected Likelihood Approach for Determining Constraints in Covariance Estimation", IEEE Transactions on Aerospace and Electronic Systems, 52, (5), pp. 2139-2156

Vishal Monga, Omar Aldayel and Muralidhar Rangaswamy, 2016, "Successive QCQP Refinement for MIMO Radar Waveform Design Under Practical Constraints", IEEE Transactions on Signal Processing, 64, (14), pp. 3760-3774

Vishal Monga, Vu Huu Tiep, Hojjat Seyed Mousavi, Ganesh Rao and Arvind UK Rao, 2016, "Histopathological Image Classification Using Discriminative Feature-Oriented Dictionary Learning", IEEE Transactions on Medical Imaging, 35, (3), pp. 738-750

Vishal Monga, Hojjat Seyed Mousavi and Trac D Tran, 2015, "Iterative Convex Refinement for Sparse Recovery", IEEE Signal Processing Letters, 22, (11), pp. 5

Vishal Monga and Mu Li, 2015, "Two fold hashing with automatic synchronization", IEEE Transactions on Information Forensics and Security, 10, (8), pp. 12

Vishal Monga, Umamahesh Srinivas, Yuanming Suo and Trac D Tran, 2015, "Structured sparse priors for image classification", IEEE Transactions on Image Processing, 24, (6), pp. 13

Vishal Monga, Hojjat Seyed Mousavi, Ganesh Rao and Arvind UK Rao, 2015, "Automated Discrimination of Lower and Higher Grade Gliomas Based on Histopathological Image Analysis", Journal of Pathology Informatics, pp. 11

U Srinivas, Vishal Monga and N Nasrabadi, 2015, "Graph-based Sensor Fusion for Classification of Transient Acoustic Signals", IEEE Transactions on Cybernetics, 45, (3), pp. 576-587

B Kang, Vishal Monga and M Rangaswamy, 2015, "Computationally Efficient Toeplitz Approximation of Structured Covariance Under a Rank Constraint", IEEE Transactions on Aerospace and Electronic Systems, 51, (1)

C Lee, Y Li and Vishal Monga, 2014, "Ghost-Free High Dynamic Range Imaging Via Rank Minimization", IEEE Signal Processing Letters, 21, (9), pp. 1045-1049

U Srinivas, H Mousavi, V Monga, A Hattel and B Jayarao, 2014, "SHIRC: Simultaneous Sparsity Model for Histopathological Image Representation and Classification", IEEE Transactions on Medical Imaging, 33, (5), pp. 1-17

X Mo, V Monga, R Bala and Z Fan, 2014, "Adaptive Sparse Representations for Video Anomaly Detection", IEEE Transactions on Circuits and Systems for Video Technology, 24, (4), pp. 631-645

B. Kang, V Monga and M Rangaswamy, 2014, "Rank Constrained ML estimation of Structured Covariance Matrices", 50, (1), pp. 501-516

U. Srinivas, V Monga and R Raj, 2014, "SAR Automatic Target Recognition Using Discriminative Graphical Models", 50, (1), pp. 591-606

A. Hattel, Vishal Monga, U. Srinivas, J. Gillepsie, J. Brooks, J. Fisher and B. Jayarao, 2013, "Development and evaluation of an automated histology classification system for veterinary pathology", Journal of Veterinary Diagnostic Investigation, 25, (6), pp. 765-769

M. Li and Vishal Monga, 2013, "Compact Video Fingerprinting Via Structural Graphical Models", IEEE Transactions on Information Forensics and Security, 8, (11), pp. 1709-1721

U. Srinivas, Y. Chen, Vishal Monga, N. M. Nasrabadi and T. D. Tran, 2013, "Exploiting sparsity in hyperspectral image classification via graphical models", IEEE Geoscience and Remote Sensing Letters, 10, (3), pp. 505-509

P. Vemulapalli, Vishal Monga and S. Brennan, 2013, "Robust Extrema Features for Time-Series Data Analysis", IEEE Transactions on Pattern Analysis and Machine Intelligence, 35, (6), pp. 1464-1479

M. Li and Vishal Monga, 2012, "Robust Video Hashing via Multilinear Subspace Projections", IEEE Transactions on Image Processing, 21, (10), pp. 4397-4409

Vishal Monga, R. Bala and X. Mo, 2012, "Design and Optimization of color look up tables on a simplex topology", IEEE Transactions on Image Processing, 21, (4), pp. 1981-1996

O. Bulan, Vishal Monga and G. Sharma, 2012, "Capacity Analysis For Orthogonal Halftone Orientation Modulation Channels", IEEE Transactions on Image Processing

O. Bulan, G. Sharma and Vishal Monga, 2010, "Orientation Modulation for Data Hiding in Clustered-Dot Halftone Prints", IEEE Transactions on Image Processing, 19, (8), pp. 2070-2084

Vishal Monga, S. Wang and R. Bala, 2008, "Channel-separable halftone independent methods for color drift correction", SPIE Journal of Electronic Imaging, 17, (1), pp. 013003

Vishal Monga and K. Mihcak, 2007, "Robust and Secure Image Hashing Via Non-negative Matrix Approximations", IEEE Transactions on Information Forensics and Security, 2, (3), pp. 376-390

Vishal Monga, N. Damera-Venkata and B. L. Evans, 2007, "Design of Tone Dependent Color Error Diffusion Halftoning Systems", IEEE Transactions on Image Processing, 16, (1), pp. 198-211

Vishal Monga and B. L. Evans, 2006, "Perceptual Hashing via Image Feature Points: Performance Evaluation and Trade-offs'", IEEE Transactions on Image Processing, 15, (11), pp. 3452-3465

Vishal Monga, A. Banerjee and B. L. Evans, 2006, "A Clustering Based Approach to Perceptual Image Hashing", IEEE Transactions on Information Forensics and Security, 1, (1), pp. 68-79

N. Damera-Venkata, J. Yen, Vishal Monga and B. L. Evans, 2005, "Hardcopy Image Barcodes Via Block Error Diffusion", IEEE Transactions on Image Processing, 14, (12), pp. 1977-1989

R. Bala, G. Sharma, Vishal Monga and J. P. V. Capelle, 2005, "Two-dimensional transforms for device color-correction and calibration", IEEE Transactions on Image Processing, 14, (8), pp. 1172-1186

N. Damera-Venkata, B. L. Evans and Vishal Monga, 2003, "Color Error Diffusion Halftoning", IEEE Signal Processing Magazine, Special Issue on Digital Halftoning, 20, (4), pp. 51-58

Vishal Monga, W. S. Geisler and B. L. Evans, 2003, "Linear, Color Separable, Human Visual System Models for Vector Error Diffusion Halftoning", IEEE Signal Processing Letters, 10, (4), pp. 93-97

Vishal Monga, Xuelu Li and UK Arvind Rao, , "Analysis-Synthesis Learning with Shared Features: Algorithms for Histology Image Classification", IEEE Transactions on Biomedical Engineering

Vishal Monga and Isaac Gerg, , "Structural Prior Driven Regularized Deep Learning for Sonar Image Classification", IEEE Transactions on Geoscience and Remote Sensing

Vishal Monga and Chul Lee, , "Power Constrained RGB to RGBW Conversion for Emissive Displays: Optimization Based Approaches", IEEE Transactions on Circuits and Systems for Video Technology, pp. 14

Conference Proceedings

Trung Hoang, Jon McElvain and Vishal Monga, 2024, "Fast and Physically Enriched Deep Network for Joint Low-Light Enhancement and Image Deblurring", International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Amirsaeed Yazdani, Xuelu Li and Vishal Monga, 2023, "Maturity-Aware Active Learning for Semantic Segmentation with Hierarchically-Adaptive Sample Assessment", The 34th British Machine Vision Conference

Bosung Kang, Junho Kweon, Muralidhar Rangaswamy and Vishal Monga, 2023, "Deep Learning for Radar Waveform Design: Retrospectives and the Road Ahead", IEEE International Conference on Radar, pp. 1-6

Yanan Zhao, Yuelong Li, Haichuan Zhang, Vishal Monga and Yonina C. Eldar, 2023, "A Convergent Neural Network for Non-Blind Image Deblurring", IEEE International Conference on Image Processing, pp. 1505-1509

Marcos V. Conde, Manuel Kolmet, Tom E. Bishop, Radu Timofte, Xiangyu Kong, Dafeng Zhang, Jinlong Wu, Fan Wang, Juewen Peng, Zhiyu Pan, Chengxin Liu, Xianrui Luo, Huiqiang Sun, Liao Shen, Vishal Monga, Zhiguo Cao, Ke Xian, Chaowei Liu, Zigeng Chen, Xingyi Yang, Songhua Liu, Yongcheng Jing, Michael Bi Mi, Xinchao Wang, Zhihao Yang, Wenyi Lian, Siyuan Lai, Haichuan Zhang, Trung Hoang, Amirsaeed Yazdani, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Yuxuan Zhao, Baoliang Chen, Yiqing Xu and JiXiang Niu, 2023, "Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report", IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 1643-1659

Trung Hoang, Haichuan Zhang, Amirsaeed Yazdani and Vishal Monga, 2023, "TransER: Hybrid Model and Ensemble-Based Sequential Learning for Non-Homogenous Dehazing", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 1670-1679

Codruta Ancuti, Cosmin Ancuti, Florin Alexandru Vasluianu, Radu Timofte, Han Zhou, Wei Dong, Yangyi Liu, Jun Chen, Huan Liu, Liangyan Li, Zijun Wu, Yubo Dong, Yuyan Li, Tian Qiu, Yu He, Vishal Monga, Yonghong Lu, Yinwei Wu, Zhenxiang Jiang, Songhua Liu, Xingyi Yang, Yongcheng Jing, Bilel Benjdira, Anas M. Ali, Anis Koubaa, Hao-Hsiang Yang, I-Hsiang Chen, Wei-Ting Chen, Zhi-Kai Huang, Yi-Chung Chen, Chia-Hsuan Hsieh, Hua-En Chang, Yuan-Chun Chiang, Sy-Yen Kuo, Yu Guo, Yuan Gao, Ryan Wen Liu, Yuxu Lu, Jingxiang Qu, Shengfeng He, Wenqi Ren, Trung Hoang, Haichuan Zhang, Amirsaeed Yazdani, Lehan Yang, Alex Jiahao Wu, Tiancheng Mai, Xiaofeng Cong, Xuemeng Yin, Xuefei Yin, Hazim Emad, Ahmed Abdallah, Yahya Yasser, Dalia Elshahat, Esraa Elbaz, Zhan Li, Wenqing Kuang, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Zhao Zhang, Yanyan Wei, Junhu Wang, Suiyi Zhao, Huan Zheng, Jin Guo, Yangfan Sun, Tianli Liu, Dejun Hao, Kui Jiang, Anjali Sarvaiya, Kalpesh Prajapati, Ratnadeep Patra, Pragnesh Barik, Chaitanya Rathod, Kishor Upla, Kiran Raja, Raghavendra Ramachandra and Christoph Busch, 2023, "NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 1808-1825

Kareem Metwaly, Vishal Monga, Junho Kweon, Khaled Alhujaili, Maria Greco and Fulvio Gini, 2023, "Interpretable, Unrolled Deep Radar Beampattern Design", International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Vishal Monga and Isaac Gerg, 2022, "Preliminary Results on Distribution Shift Performance of Deep Networks for Synthetic Aperture Sonar Classification", IEEE Oceans Conference, IEEE, USA, pp. 6

Vishal Monga, Elisa Warner, Xuelu Li, Ganesh Rao, Jason Huse, Jeffery Traylor, Visweswaran Ravikumar, Arvind andao, , 2022, "Investigating Useful Features for Overall Survival Prediction in Patients with Low-Grade Glioma Using Histology Slides", 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Vishal Monga and Isaac Gerg, 2022, "Synthetic Aperture Sonar Image Segmentation Using Adaptive, Learned Beam Steering", IEEE International Geoscience and Remote Sensing Symposium, IEEE, USA

Vishal Monga, Trung Hoang, Kyle Dalton, Isaac Gerg, Thomas Blanford and Daniel C Brown, 2022, "Domain Enriched Deep Networks for Munition Detection in Underwater 3D Sonar Imagery", IEEE International Geoscience and Remote Sensing Symposium, IEEE, USA, pp. 4

Vishal Monga, Kareem Metwaly, Aerin Kim and Branson Elliott, 2022, "Glidenet: Global, local and intrinsic based dense embedding network for multi-category attributes prediction", IEEE Conference on Computer Vision and Pattern Recognition, Institute of Electronics and Electrical Engineers (IEEE), United States, pp. 11

Vishal Monga, Xuelu Li and Raja Bala, 2022, "Structural Prior Models for 3-D Deep Vessel Segmentation", IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, USA

Isaac Gerg and Vishal Monga, 2021, "REAL-TIME, DEEP SYNTHETIC APERTURE SONAR (SAS) AUTOFOCUS", IEEE International Geosciences and Remote Sensing Symposium

Yung-Chen Sun, Isaac Gerg and Vishal Monga, 2021, "Iterative, Deep, and Unsupervised Synthetic Aperture Sonar Image Segmentation", IEEE OCEANS, pp. 5

Isaac Gerg and Vishal Monga, 2021, "Learnable Image Compression Scheme for Synthetic Aperture Sonar Imagery", IEEE OCEANS

Amirsaeed Yazdani, Tiantong Guo and Vishal Monga, 2021, "Physically Inspired Dense Fusion Networks for Relighting", IEEE Computer Vision and Pattern Recognition Workshop, pp. 9

Vishal Monga, Amirsaeed Yazdani, Nick Stephens, Yung-Chen Sun and Timothy Ryan, 2020, "Multi-class micro-ct image segmentation using sparse regularized deep networks", IEEE Asliomar Conference on Signals, Systems and Computers

Vishal Monga, Kareem Metwaly, Xuelu , Tiantong anduo, , 2020, "NonLocal Channel Attention for NonHomogeneous Image Dehazing", IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Vishal Monga, Mingzhao Yu, Venkateswararao Cherukuri, Tiantong anduo, , 2020, "Ensemble Dehazing Networks for Non-homogeneous Haze", IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Vishal Monga and Tiantong Guo, 2020, "Reinforced Depth-Aware Deep Learning for Single Image Dehazing", IEEE International Conference on Acoustics, Speech and Signal Processing

Vishal Monga and Kareem Metwaly, 2020, "Attention-Mask Dense Merger (Attendense) Deep HDR for Ghost Removal", IEEE International Conference on Acoustics, Speech and Signal Processing

Vishal Monga, Amir Saeed Yazdani, Venkateswararao Cherukuri, Nicholas Stephens and Timothy Ryan, 2019, "Domain-Enriched Deep Network for Micro-CT Image Segmentation", IEEE Asilomar Conference on Signals, Systems and Computers, Institute of Electronics and Electrical Engineers (IEEE)

Vishal Monga, Xianxiang Yu, Khaled Alhujaili and Guolong Cui, 2019, "Practically Constrained Waveform Design for MIMO Radar in the Presence of Multiple Targets", IEEE Asilomar Conference on Signals, Systems and Computers, Institute of Electronics and Electrical Engineerings (IEEE)

Vishal Monga and Xuelu Li, 2019, "Group Based Deep Shared Feature Learning for Fine-Grained Image Classification", British Machine Vision Conference, Institute of Electronics and Electrical Engineers (IEEE)

Vishal Monga, Tiantong Guo, Venkateswararao Cheruk andri, , 2019, "Dense 123 Color Enhancement Dehazing Network", IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Institute of Electronics and Electrical Engineers (IEEE)

Vishal Monga, Tiantong Guo, Xuelu Li and Venkateswararao Cherukuri, 2019, "Dense Scene Information Estimation Network for Image Dehazing", IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Institute of Electronics and Electrical Engineers (IEEE)

Vishal Monga, Omar Aldayel and Muralidhar Rangaswamy, 2019, "Ambiguity Function Shaping via Quartic Descent on the Complex Circle Manifold", IEEE Radar Conference, Institute of Electronics and Electrical Engineers (IEEE)

Khaled Alhijaili, Vishal Monga and Muralidhar Rangaswamy, 2018, "MIMO Radar Beampattern Design Under Joint Constant Modulus and Orthogonality Constraints", IEEE Asilomar Conference on Signals, Systems and Computers, Institute of Electronics and Electrical Engineers (IEEE), United States, pp. 6

Venkateswararao Cherukuri, Tiantong Guo, Steven Schiff and Vishal Monga, 2018, "Deep MR Image Super-Resolution Using Structural Priors", IEEE International Conference on Image Processing, Institute of Electronics and Electrical Engineers (IEEE), United States, pp. 5

Mohammad Tofighi, Tiantong Guo, Jairam Vanamala and Vishal Monga, 2018, "Deep Networks with Shape Priors for Nucleus Detection", IEEE International Conference on Image Processing, Institute of Electronics and Electrical Engineers (IEEE), United States, pp. 5

Xuelu Li, Vishal Monga and UK Arvind Rao, 2018, "Analysis-Synthesis Model Learning With Shared Features: A New Framework for Histopathological Image Classification", IEEE International Symposium on Biomedical Imaging, Institute of Electronics and Electrical Engineers (IEEE), University Pk, United States, pp. 4

Tiep Vuu Hu, Lam Nguyen, Tiantong Guo and Vishal Monga, 2018, "Deep network for simultaneous decomposition and classification in UWB-SAR imagery", IEEE Radar Conference, Institute of Electronics and Electrical Engineers (IEEE), United States, pp. 6

Tiep Vuu Hu, Hojjat Seyed Mousavi and Vishal Monga, 2018, "Orthogonally Regularized Deep Networks For Image Super-resolution", IEEE International Conference on Acoustics, Speech and Signal Processing, Institute of Electronics and Electrical Engineers (IEEE), United States, pp. 5

Hojjat Seyed Mousavi, Tiantong Guo and Vishal Monga, 2018, "Deep Image Super Resolution via Natural Image Priors", IEEE International Conference on Acoustics, Speech and Signal Processing, Institute of Electronics and Electrical Engineers (IEEE), United States, pp. 5

Vishal Monga, John McKay and Raghu G Raj, 2017, "Fast Stochastic Hierarchical Bayesian MAP for Tomographic Imaging", IEEE

Vishal Monga, Omar Aldayel, Tiantong Guo and Muralidhar Rangaswamy, 2017, "Adaptive Sequential Refinement for Ambiguity Function Shaping in Cognitive Radar", IEEE Asilomar Conference on Signals, Systems and Computers

Vishal Monga, JOhn Mckay, Isaac Gerg and Raghu G Raj, 2017, "What’s Mine is Yours: Pretrained CNNs for Limited Training Sonar ATR", IEEE Oceans Conference

Vishal Monga, Tiantong Guo, Hojjat Seyed Mousavi and Tiep Huu Vu, 2017, "Deep Wavelet Prediction for Image Superresolution", IEEE Conference on Computer Vision and Pattern Recognition Workshops

Vishal Monga, Omar Aldayel and Muralidhar Rangaswamy, 2017, "Radar MIMO Beampattern Design under a Constant Modulus and Spectral Interference Constraint", IEEE Radar Conference, IEEE

Vishal Monga, Venkateswararao Chrukuri, Peter Ssenyonga, Benjamin C Warf, Abhaya Kulkarni, Steven J Sch andff, , 2017, "Learning Based Segmentation of Post-Operative CT Images: A Hydrocephalus Case Study", IEEE International Conference on Neural Engineering, IEEE

Vishal Monga, Tiep Huu Vu and Hojjat Seyed Mousavi, 2017, "Adaptive Matching Purduit for Sparse Signal Recovery", IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE

Vishal Monga, Tiantong Guo and Hojjat Mousavi, 2016, "Deep learning based image super-resolution via coupled backpropogation", IEEE Global Conference on Signal and Information Processing, Institute of Electronics and Electrical Engineers (IEEE), pp. 5

Vishal Monga and Yuelong Li, 2016, "SIASM: Sparsity-based image alignment and stitching method for robust image mosaicking", IEEE International Conference on Image Processing, pp. 5

Vishal Monga and Hojjat Mousavi, 2016, "Sparsity Based Superresolution using color channel constraints", IEEE International Conference on Image Processing, Institute of Electronics and Electrical Engineers (IEEE), pp. 5

Vishal Monga and Tiep H Vu, 2016, "Learning a low-rank shared dictionary for object classification", IEEE International Conference on Image Processing, pp. 5

Vishal Monga, John McKay and Raghu G Raj, 2016, "Localized Dictionary Design for Geometrically Robust Sonar ATR", IEEE International Geoscience and Remote Sensing Symposium, Institute of Electronics and Electrical Engineers (IEEE), pp. 991-994

Vishal Monga, Omar Aldayel and Muralidhar Rangaswamy, 2016, "Tractable Transmit MIMO Beampattern Design under a Constant Modulus Constraint", IEEE Radar Conference, Institute of Electronics and Electrical Engineers (IEEE), pp. 5

Vishal Monga, Omar Aldayel and Muralidhar Rangaswamy, 2015, "SQR: Successive QCQP Refinement for MIMO Radar Waveform Design", IEEE Asilomar Conference on Signals, Systems and Computers, Institute of Electronics and Electrical Engineers (IEEE), pp. 5

Vishal Monga, John McKay and Raghu G Raj, 2015, "Discriminative Sparsity for SONAR ATR", IEEE Oceans Conference, Institute of Electronics and Electrical Engineers (IEEE), pp. 1-6

Vishal Monga, Yuelong Li and Chul Lee, 2015, "A MAP Estimation Framework for HDR Video Synthesis", IEEE International Conference on Image Processing, Institute of Electronics and Electrical Engineers (IEEE), pp. 5

Vishal Monga, Bosung Kang and Muralidhar Rangaswamy, 2015, "Automatic Rank Estimation for Practical STAP Covariance Estimation", IEEE International Radar Conference, Institute of Electronics and Electrical Engineers (IEEE), pp. 5

M Li and Vishal Monga, 2014, "Twofold video hashing with automatic synchronization"

H S Mousavi, U Srinivas, Y Suo, M Dao, Vishal Monga and T Tran, 2014, "Multi-task image classification via collaborative, hierarchical spike and slab priors"

Y Suo, M Dao, T Tran, H S Mousavi, U Srinivas and Vishal Monga, 2014, "Group Structured Dictionary Learning for Classification"

X Mo, Vishal Monga and R Bala, 2014, "Simultaneous Sparsity Models for Multi-Perspective Video Anomaly Detection"

B Kang, Vishal Monga and M Rangaswamy, 2014, "Estimation of Structured Covariance Matrices for radar STAP under Practical Constraints"

C Lee and Vishal Monga, 2014, "Power-Constrained RGB-to-RGBW Conversion for Emissive Displays"

X Mo, Vishal Monga, R Bala and Z Fan, 2014, "Low Rank Sparsity Prior for Robust Video Anomaly Detection"

B. Kang, Vishal Monga and M. Rangaswamy, 2013, "Constrained ML estimation of structured covariance matrices with applications in radar STAP", IEEE 5th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), pp. 101-104

B. Kang, Vishal Monga and M. Rangaswamy, 2013, "EASTR: Efficient Approximation of Structured covariance under joint Toeplitz and Rank constraints", Proc. IEEE Asilomar Conference on Signals, Systems and Computers

U. Srinivas, Y. Suo, M. Dao, Vishal Monga and T. D. Tran, 2013, "Structured sparse priors for image classification", Proc. IEEE International Conference on Image Processing

Y. Suo, M. Dao, T. D. Tran, U. Srinivas and Vishal Monga, 2013, "Hierarchical sparse modeling using spike and slab priors", Proc. IEEE International Conference on Acoustics, Speech and Signal Processing

Vishal Monga, U. Srinivas and N. M. Nasarabadi, 2013, "Graph-based multi sensor fusion for acoustic signal classification", Proc. IEEE International Conference on Acoustics, Speech and Signal Processing

U. Srinivas, H. S. Mousavi, C. Jeon , Vishal Monga, A. Hattel and B. Jayarao, 2013, "SHIRC: A Simultaneous sparsity model for Histopathological Image Representation and Classification", Proc. IEEE International Symposium on Biomedical Imaging, pp. 1106-1109

B. Kang, Vishal Monga and M. Rangaswamy, 2013, "On the practical merits of the rank constrained ML estimator", Proc. IEEE Radar Conference

X. Mo, Vishal Monga, R. Bala and Z. Fan, 2012, "A Joint Sparsity Model for Video Anomaly Detection", Proceedings IEEE Asilomar Conference on Signals, Systems and Computers

U. Srinivas, Y. Chen, Vishal Monga, N. Nasrabadi and T. Tran, 2012, "Discriminative Graphical Models for Sparsity Based Hyperspectral Target Detection'", Proc. IEEE Int. Geoscience and Remote Sensing Symposium

P. Vemulapalli, Vishal Monga and S. Brennan, 2012, "Optimally Robust Extrema filters for Time-Series Data", Proceedings of the American Control Conference

U. Srinivas, Vishal Monga and V. Riasati, 2012, "A comparative study of basis selection techniques for automatic target recognition", Proceedings of the IEEE Radar Conference

Vishal Monga and M. Rangaswamy, 2012, "Rank-constrained maximum likelihood (ML) estimation of clutter covariance with applications", Proceedings of the IEEE International Radar Conference

M. Maltz, Vishal Monga and Z. Fan, 2012, "Tensor Decompositions for color look-up table design", Proc. SPIE Electronic Imaging Symposium

M. Li and Vishal Monga, 2012, "Robust Video Fingerprinting Via Structural Graphical Models", Proc. IEEE International Conference on Image Processing

U. Srinivas, X. Mo, M. Parmar and Vishal Monga, 2011, "Image-adaptive color super-resolution", Proc. IS&T/SID 19th Color Imaging Conference

U. Srinivas, Vishal Monga, Y. Chen and T. D. Tran, 2011, "Sparsity-based face recognition using discriminative graphical models", Proc. IEEE Asilomar Conference on Signals, Systems and Computers

M. Li and Vishal Monga, 2011, "Desynchronization Resilient Video Fingerprinting via Randomized, Low-rank Tensor Approximations", Proc. IEEE Int. Workshop on Multimedia Signal Processing

U. Srinivas, Vishal Monga and R. Raj, 2011, "Automatic Target Recognition Using Discriminative Graphical Models", Proc. IEEE Int. Conf. on Image Processing

U. Srinivas, Vishal Monga and R. Raj, 2011, "Meta-classifiers for exploiting feature dependencies in automatic target recognition", Proc. IEEE Int. Radar Conference

D. Vats, Vishal Monga, U. Srinivas and J. Moura, 2011, "Scalable Robust Hypothesis Tests Using Graphical Models", Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing

C. Fillion, Z. Fan and Vishal Monga, 2011, "Adaptive removal of background and white space from document images using seam categorization", Proc. SPIE Electronic Imaging

Vishal Monga and U. Srinivas, 2010, "A constrained optimization perspective on joint spatial resolution and dynamic range enhancement", IEEE Asilomar Conference, invited paper in the Image and Video Enhancement session

Kamil Senel, M. Kivanc Mihcak and Vishal Monga, 2010, "A learning framework for robust hashing of face images", Proc. IEEE Int. Conference on Image Processing

Vishal Monga, R. Bala and C. Fillion, 2010, "The use of spatially based complexity measures towards color gamut mapping and image resizing", Proc. SPIE Electronic Imaging, Color Imaging and Hardcopy Session

Vishal Monga and R. Bala, 2009, "Shaped local regression with application in approximating color transforms", Proc. IS&T/SID Color Imaging Conference

S. Chen, Vishal Monga and P. Moulin, 2009, "Meta-classifiers for multi-modal document classification", IEEE Int. Workshop on Multimedia Signal Processing, pp. 1-6

O. Bulan, Vishal Monga and G. Sharma, 2009, "High capacity color barcodes via dot orientation and color separability", Proc. SPIE: Media Forensics and Security XI, 7254, pp. 725417-1-7

Vishal Monga and R. Bala, 2008, "Sort-Select-Damp (SSD): An efficient strategy for look-up table (LUT) lattice design", Proc. 16th IS&T/SID Color Imaging Conference, pp. 247-253

O. Bulan, G. Sharma and Vishal Monga, 2008, "Image Adaptive Decoding for Halftone Orientation Modulation Data Hiding", Proc. IEEE International Conference on Image Processing, pp. 1280-1283

O. Bulan, G. Sharma and Vishal Monga, 2008, "Application of high capacity data hiding in halftone images", Proc. IS&T Non Impact Printing Conference 24: International Conference on Digital Printing Technologies, pp. 787-791

O. Bulan, G. Sharma and Vishal Monga, 2008, "On the Capacity of Orientation Modulation Halftone Channels", Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, pp. 1685-1688

O. Bulan, Vishal Monga, G. Sharma and B. Oztan, 2008, "Data Hiding in Hardcopy Images Via Halftone Dot Orientation Modulation", Proc. SPIE: Security, Forensics, Steganography, and Watermarking of Multimedia Contents X, 6819, pp. 68 190C-1-12

J. McElvain, Vishal Monga, M. Parmar and C. Hains, 2008, "Estimating Printer Misregistration from Color Shifts: A New Paradigm", Proceedings of the SPIE, Color Imaging XII: Displaying, Hardcopy, Processing, and Applications, 6807, pp. 680715

Vishal Monga and R. Bala, 2007, "Two-dimensional color correction: Recent Advances", Proc. IS&T/SID 15th Color Imaging Conference, pp. 48-53

Vishal Monga, S. Wang and R. Bala, 2007, "Halftone Independent Methods for Color Drift Correction", Proc. SPIE Color Imaging XII: Processing, Hardcopy, and Applications, pp. 649315

O. Harmanci, Vishal Monga and K. Mihcak, 2006, "Geometrically Invariant Watermarking via Robust Perceptual Hashes", Proc. IEEE Int. Conf. on Image Processing, pp. 1397-1400

Vishal Monga and K. Mihcak, 2006, "Robust Image Hashing Via Non-negative Matrix Factorizations", Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Proc., pp. 225-228

Vishal Monga, D. Vats and B. L. Evans, 2005, "Image Authentication Under Geometric Attacks Via Structure Matching", Proc. IEEE Int. Conf. on Multimedia and Expo, pp. 200-203

Vishal Monga and B. L. Evans, 2004, "Robust Perceptual Image Hashing Using Feature Points", Proc. IEEE Int. Conf. on Image Processing, 1, pp. 677-680

Vishal Monga, A. Banerjee and B. L. Evans, 2004, "Clustering Algorithms for Perceptual Image Hashing", Proc. 11th IEEE Int. Digital Signal Processing Workshop, pp. 283-287

Vishal Monga and B. L. Evans, 2004, "Tone Dependent Color Error Diffusion", Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, 3, pp. 101-104

Vishal Monga, N. Damera-Venkata and B. L. Evans, 2004, "An Input-Level Dependent Approach to Color Error Diffusion", Proc. IS&T/SPIE Conf. on Color Imaging: Processing, Hardcopy, and Applications IX, 5293, pp. 333-343

Vishal Monga, R. Bala, G. Sharma and Jean-Pierre R. Van de Capelle, 2003, "Two-dimensional transforms for device color calibration", Proc. SPIE Color Imaging IX: Processing, Hardcopy, and Applications, pp. 250-261

B. L. Evans, Vishal Monga and N. Damera-Venkata, 2003, "Variations on Error Diffusion: Retrospectives and Future Trends", Proc. SPIE Color Imaging VIII: Processing, Hardcopy, and Applications, pp. 371-389

• August 2019 - July 2022, "Environmental Prior Guided Signal Processing and Learning for Oceanographic Data Sensing and Analysis," (Sponsor: Office of Naval Research).

• November 2019 - December 2020, "LEARNING BASED ENHANCEMENT AND CLASSIFICATION OF MARINE ASSET IMAGES," (Sponsor: PPG Industries).

• June 2015 - December 2018, "Contested Environment Radio Frequency Exploitation and Research (CERFER)," (Sponsor: Matrix Research Inc.).

• July 2017 - March 2018, "Discriminating Relaspse Outcome in Lower Grade Glioma with Genomics & Imaging," (Sponsor: University of Texas MD Anderson Cancer Center).

•   -  , "Prior Guided, Informed Deep Learning for Detection and Classification of Underwater Military Munitions," (Sponsor: Strategic Environmental Research and Development Program).

• PSEAS Premier Research Award, Penn State Engineering Alumni Society, October 2022

• Induction into National Academy of Inventors, National Academy of Inventors, June 2022

• Second Place, Student Paper Competition, IEEE, September 2021

• Runner-Up 2021 CVPR-NTIRE Image Relighting Challenge, IEEE, June 2021

• National Science Foundation CAREER Award, National Science Foundation, May 2015 - May 2020

• Winner 2019 CVPR-NTIRE Image Dehazing Challenge, IEEE, June 2019

• PSEAS Outstanding Research Award, Penn State Engineering Alumni Association, October 2019

• Joel and Ruth Spira Teaching Excellence Award, Lutron Foundation, June 2016

• Monkowski CAREER Development Professorship, July 2011 - June 2014

• Best Student Paper Award, IEEE, May 2014

• IEEE Mikio Takagi Prize, IEEE, July 2012

• Air Force Summer Faculty Fellowship, American Society for Engineering Education (ASEE), June 2011 - August 2011

• Young Engineer of the Year, Rochester Engineering Society, April 2007

Service to Penn State:

• Committee Work, Committee Member, Academic Integrity Committee, July 2018

• Committee Work, Chairperson, Committee Chair, Department Colloquium Committee, August 2015 - May 2019

Service to External Organizations:

• Participation in or Service to Professional and Learned Societies, Committee Member, IEEE Computational Imaging Technical Committee, Chair of Nominations and Elections Sub-committee, January 2022 - December 2024

• Participation in or Service to Professional and Learned Societies, Committee Member, IEEE Sensor, Array and Multichannel Signal Processing Technical Committee, Education and Workshops, January 2022 - December 2024

• Organizing Conferences and Service on Conference Committees, Organizer, Technical Program Commitee and Area Chair, IEEE International Conference on Image Processing, April 2022 - September 2022

• Organizing Conferences and Service on Conference Committees, Organizer, Technical Program Committee Member and Area Chair, IEEE International Conference on Acoustics, Speech and Signal Processing, December 2021 - March 2022

• Participation in or Service to Professional and Learned Societies, Committee Member, IEEE Bio Imaging and Signal Processing Technical Committee, Chair of Publications and Special Issues, January 2021 - December 2024

• Participation in or Service to Professional and Learned Societies, Committee Member, IEEE Image, Video and Multidimensional Signal Processing Technical Committee, January 2017 - December 2019

• Organizing Conferences and Service on Conference Committees, Committee Member, Technical Review Committee, IEEE International Conference on Image Processing, February 2017 - April 2017

• Organizing Conferences and Service on Conference Committees, Committee Member, Technical Review Committee, IEEE International Conference on Acoustics, Speech and Signal Processing, September 2017 - December 2017

• Organizing Conferences and Service on Conference Committees, Committee Member, Technical Review Committee, IEEE Radar Conference, November 2017 - December 2017

• Organizing Conferences and Service on Conference Committees, Committee Member, Technical Review Committee, IEEE International Conference on Acoustics, Speech and Signal Processing, September 2016 - December 2016