Conference papers

1. Cuong Do and Lan Vu, “Application of deep learning model (DeepCOVID-19) for detecting COVID-19 cases using chest x-ray images”. Proceedings Volume 11511, Applications of Machine Learning 2020; 1151112 (2020) https://doi.org/10.1117/12.2575919. Event: SPIE Optical Engineering + Applications, 2020.

2. Cuong Do and Lan Vu, “An approach for recognizing COVID-19 cases using convolutional neural network applied to CT scan images”. Proceedings Volume 11510, Applications of Digital Image Processing XLIII; 1151034 (2020) https://doi.org/10.1117/12.2576276. Event: SPIE Optical Engineering + Applications, 2020.

3. Cuong Do and Lan Vu, “An investigation of Deep Learning Algorithms applied to automated diagnosis for Diabetic Retinopathy”. Proceedings Volume 11525, SPIE Future Sensing Technologies; 115251Y (2020) https://doi.org/10.1117/12.2579608. Event: SPIE Future Sensing Technologies, 2020.

4. Cuong Do, “A strategy for training 3D object recognition models with limited training data using transfer learning”. Proceedings Volume 11511, Applications of Machine Learning 2020; 1151113 (2020) https://doi.org/10.1117/12.2575923. Event: SPIE Optical Engineering + Applications, 2020.

5. Cuong Do and Lan Vu, “Very large multimodal multi-architecture convolutional neural network with bundled transfer learning for automated coronavirus diagnosis”. Proceedings Volume 11543, Artificial Intelligence and Machine Learning in Defense Applications II; 115430R (2020) https://doi.org/10.1117/12.2582626
Event: SPIE Security + Defence, 2020

6. Cuong Do, Cory Wang, “Interpretable deep learning-based risk evaluation approach”. Proceedings Volume 11543, Artificial Intelligence and Machine Learning in Defense Applications II; 115430S (2020) https://doi.org/10.1117/12.2583972. Event: SPIE Security + Defence, 2020

7. Cuong Do, “3D image augmentation using Neural Style Transfer and Generative Adversarial Networks”. Proceedings Volume 11510, Applications of Digital Image Processing XLIII; 1151033 (2020) https://doi.org/10.1117/12.2575924. Event: SPIE Optical Engineering + Applications, 2020.

8. Cuong Manh Do and Rajeev Bansal, “Breast tumor classification via single-frequency microwave imaging”, presented on April 30, 2013 at Signal Processing, Sensor Fusion, and Target Recognition XXII, SPIE Defense, Security, and Sensing, Baltimore, MD

9. Cuong Manh Do, “Statistical recognition of 3D objects using integral imaging”, presented on April 30, 2013 at Machine Intelligence and Bio-inspired Computation: Theory and Applications VII, SPIE Defense, Security, and Sensing, Baltimore, MD

10. Cuong Manh Do, “Limited-photon 3D image recognition using photon-counting integral imaging”, Proc. SPIE 8136, 813608 (2011); doi:10.1117/12.893049, presented on Aug 21, 2011, SPIE Optics and Photonics, San Diego, CA

11. Cuong Manh Do, “3D object recognition with integral imaging using neural networks”, Proc. SPIE 8135, 81350D (2011); doi:10.1117/12.893046, presented on Aug 22, 2011, SPIE Optics and Photonics, San Diego, CA

12. Cuong Manh Do, “3D object recognition with photon counting integral imaging using independent component analysis”, Presented at SPIE Optics and Photonics, San Diego, CA, August 2010.

13. Cuong Manh Do, “Three-dimensional image visualization by maximum a posteriori estimation photon-counting integral imaging”, Presented at SPIE Optics and Photonics, San Diego, CA, August 2010.

14. Cuong Manh Do and Bahram Javidi, “Automatic target recognition using 3D passive sensing and imaging with independent component analysis (Keynote Paper)”, presented on Apr 16, 2009, SPIE Defense, Security, and Sensing conference 2009, Orlando, Florida.

15. Cuong Manh Do, Bahram Javidi , “Multifocus holographic 3D image fusion using independent component analysis,” Proc. SPIE, Vol. 6778, 67780P (2007); doi:10.1117/12.748914.

16. Cuong Manh Do, Seung-Hyun Hong, Takanori Nomura, Bahram Javidi, “Multi-wavelength holographic image fusions using discrete wavelet transform, presented at Optics East in Boston, 26 October 05, SPIE Proceedings Vol. 6016 (2005).

Conference talks (Recent)

1. Cuong Do, “Recommender Systems – From Algorithms to Enhancing User Experiences”, CEN Conference Oct, 2020.

“Recommender Systems – from algorithms to enhancing user experiences (Data Science in Practice) Abstract: Data Science and AI have found their way to various applications in Higher Education. Recommender systems are an important class of machine learning algorithms that provides recommendations to users. In this presentation, we provide an overview of recommender system algorithms, such as item-based and user-based collaborative filtering, model-based collaborative filtering, content-based recommender systems, and a demo for a collaborative filtering model using real data.”

2. Cuong Do, “Artificial Intelligence (AI) in Higher Education”, CEN Conference May, 2021.

“Artificial Intelligence (AI) has been transforming work and life. This talk covers a wide range of AI applications in general, as well as specific applications in Higher Education, from traditional supervised and unsupervised machine learning to Natural Language Processing such as question answering, content summarization, language machine translation, and Computer Vision such as image and object recognition, sign language translation to text and voice, etc. Participants will be walked through the process creating a knowledge base, a question answering model and chatbot that can answer various questions on MS Teams.”

3. Cuong Do and Lan Vu, “A Deep Learning approach for recognizing COVID-19 cases using CT and X-Ray images”, Applications of AI and Big Data in Healthcare, Hanoi University of Public Health, January, 2021

“This talk is to provide an overview of our work that investigates an automated approach using Convolutional Neural Network (CNN) to recognize COVID-19 cases using chest CT and X-Ray images. Convolutional Neural Network (CNN) is a class of deep neural networks typically used for image data, and can learn features effectively from images in comparison to the traditional method with image segmentation, feature extraction/selection and classification steps. Pretrained weights were used for feature extraction, and new layers were built and trained on the top of the base. An implementation of the model would help physicians to be more confident by a second opinion, and would help countries where test kits might be insufficient, while X-ray and CT devices are widely available.”

4. Cuong Do,  “Credit Scoring for risk evaluation”, Big Data Institute, December 2018

“The talk provides an overview of main credit scores in the United States and how to develop a credit scoring model”

Journal papers

1. Cuong Manh Do, and Bahram Javidi, “3D integral imaging reconstruction of occluded objects using independent component analysis-based K-means clustering,” Vol 6, Issue 7, pp. 257-262 (2010).

2. Robert Schulein, Cuong Manh Do, and Bahram Javidi, “Distortion-tolerant 3D recognition of underwater objects using neural networks,” J. Opt. Soc. Am. A 27, 461-468 (2010)

3. Cuong  Manh Do and Bahram Javidi, “Three-Dimensional Object Recognition With Multiview Photon-Counting Sensing and Imaging”, IEEE Photonics Journal, Vol 1, Issue 1, 9-20 (2009)..

4. Cuong Manh Do, Raúl Martínez-Cuenca, and Bahram Javidi, “Three-dimensional object-distortion-tolerant recognition for integral imaging using independent component analysis,” J. Opt. Soc. Am. A 26, 245-251 (2009)

5. Cuong Manh Do and Bahram Javidi, “Three-dimensional computational holographic imaging and recognition using independent component analysis”, Proceeding of Royal Society A, online published (2007)

6. Cuong Manh Do and Bahram Javidi, “Multifocus holographic 3-D image fusion using independent component analysis,” IEEE J. Display Technol. 3, 326-332 (2007)

7. Bahram Javidi, Cuong Manh Do, Seung Hyun Hong, and Takanori Nomura, “Multi-spectral holographic three-dimensional image fusion using Discrete Wavelet Transform,” IEEE J. Display Technol. 2, 411-417 (2006).

Technical Article

Cuong Manh Do, “Improved integral imaging approach for 3D object recognition”, 17 November 2011, SPIE
Newsroom. DOI: 10.1117/2.1201111.003953

Book

Cuong Manh Do, “Three-dimensional image recognition and visualization” (January 1, 2009), Dissertations
Collection for University of Connecticut, Paper AAI3367347
(http://digitalcommons.uconn.edu/dissertations/AAI3367347)