PATENTS

GRANTED PATENTS

1. Compression of Deep Neural Networks. Patent US20200293876A1.
   Dzung T. Phan, Lam M. Nguyen, Nam H. Nguyen, Jayant R. Kalagnanam.
2. Federated Learning for Training Machine Learning Models. Patent I822290
   Lam M. Nguyen, Dung Tien Phan, Jayant R. Kalagnanam.
3. A Method for Tuning Hyperparameters for Classification. Patent 11823076
   Dung Tien Phan, Hongsheng Liu, Lam M. Nguyen.
4. Optimal Interpretable Decision Trees Using Integer Linear Programming Techniques. Patent 11676039
   Pavankumar Murali, Haoran Zhu, Dung Tien Phan, Lam M. Nguyen.
5. Site-wide Operations Management Optimization for Manufacturing and Processing Control. Patent 11656606
   Dung Tien Phan, Lam M. Nguyen, Pavankumar Murali, Hongsheng Liu.
6. Shuffling-Type Gradient Method for Training Machine Learning models with Big Data. Patent 11568171
   Lam M. Nguyen, Dung Tien Phan.
7. Prediction Optimization for System-level Production Control. Patent 11099529 [PDF]
   Dzung T. Phan, Lam M. Nguyen, Pavankumar Murali, Jayant R. Kalagnanam.

PATENT APPLICATIONS

1. Deep Learning Architecture For Multivariate Time Series. Filed on December 14, 2024
   Quang Minh Nguyen, Lam M. Nguyen, Subhro Das.
2. Generative Schrodinger Network. Filed on March 11, 2024
   Thanh Lam Hoang, Marcos Martínez Galindo, Lam M. Nguyen, Niall Robertson, Vanessa Lopez Garcia.
3. Process Control Based on Simultaneous Machine Learning of Spatial and Temporal Relations of Time Series Data. Filed on January 05, 2024
   Lam M. Nguyen, Trang H. Tran.
4. Neural Network-Based Dynamical System Modeling for Contrastively Learned Conservation Law. Filed on July 21, 2023
   Lam M. Nguyen, Wang Zhang, Subhro Das, Alexandre Megretski, Luca Daniel.
5. Generative Modeling and Representational Learning from Multi-Sequence Alignment and Phylogenetic Tree Data. Filed on June 30, 2023
   Thanh Lam Hoang, Marcos Martínez Galindo, Gabriele Picco, Mykhaylo Zayats, Nhan Huu Pham, Lam M. Nguyen, Marco Luca Sbodio, Dzung Tien Phan, Vanessa Lopez Garcia.
6. Regression-Optimization Control of Production Process with Dynamic Inputs. Filed on May 11, 2023
   Lam M. Nguyen, Pavankumar Murali, Nianjun Zhou, Binny Winston Samuel.
7. Time Series Forecasting Using Multivariate Time Series Data with Missing Values. Filed on January 28, 2023
   Lam M. Nguyen, Trang H. Tran, Kyong Min Yeo, Nam H. Nguyen, Dzung Tien Phan, Roman Vaculin, Jayant R. Kalagnanam.
8. Multivariable Time-Series Feature Extraction. Filed on January 27, 2023
   Lam M. Nguyen, Wang Zhang, Subhro Das, Alexandre Megretski, Luca Daniel.
9. Privacy Enhanced Machine Learning over Graph Data. Filed on January 23, 2023
   Ambrish Rawat, Naoise Holohan, Heiko H. Ludwig, Ehsan Degan, Nathalie Baracaldo Angel, Alan Jonathan King, Swanand Ravindra Kadhe, Yi Zhou, Keith Coleman Houck, Mark Purcell, Giulio Zizzo, Nir Drucker, Hayim Shaul, Eyal Kushnir, Lam M. Nguyen.
10. Unsupervised Learning from Public Tabular Datasets. Filed on December 15, 2022
    Thanh Lam Hoang, Gabriele Picco, Lam M. Nguyen, Dzung Tien Phan.
11. Providing Trained Reinforcement Learning Systems. Filed on December 12, 2022
    Lam M. Nguyen, Wang Zhang, Subhro Das, Alexandre Megretski, Luca Daniel.
12. Active Learning in Model Training. Filed on November 22, 2022
    Dzung Tien Phan, Huozhi Zhou, Lam M. Nguyen, Chandrasekhara K. Reddy, Jayant R. Kalagnanam.
13. Automated Decision Optimization for Maintenance of Physical Assets. Filed on October 31, 2022
    Nianjun Zhou, Pavankumar Murali, Dzung T. Phan, Lam M. Nguyen.
14. Adversarial Attacks for Improving Cooperative Multi-Agent Reinforcement Learning Systems. Filed on September 23, 2022
    Nhan Huu Pham, Lam M. Nguyen, Jie Chen, Thanh Lam Hoang, Subhro Das.
15. Training Neural Networks with Convergence to a Global Minimum. Filed on September 23, 2022
    Lam M. Nguyen.
16. Intelligent Dynamic Condition-based Infrastructure Maintenance Scheduling. Filed on September 21, 2022
    Pavankumar Murali, Dzung Tien Phan, Nianjun Zhou, Lam M. Nguyen.
17. Machine Learning-based Decision Framework for Physical Systems. Filed on September 20, 2022
    Dzung Tien Phan, Lam M. Nguyen.
18. Certification-based Robust Training by Refining Decision Boundary. Filed on September 19, 2022
    Lam M. Nguyen, Wang Zhang, Subhro Das, Pin-Yu Chen, Alexandre Megretski, Luca Daniel.
19. Training A Neural Network Using an Accelerated Gradient with Shuffling. Filed on July 14, 2022
    Lam M. Nguyen, Trang H. Tran.
20. System and Method for unsupervised Learning of Semantic Graph from textual data and language generation from Semantic grapH via Reinforcement learning. Filed on July 11, 2022
    Hoang Thanh Lam, Dzung T. Phan, Gabriele Picco, Lam M. Nguyen, Marco Luca Sbodio, Vanessa Lopez Garcia.
21. Integrated Machine Learning Prediction and Optimization for Decision-Making. Filed on March 30, 2022
    Dzung T. Phan, Long Vu, Lam M. Nguyen, Dharmashankar Subramanian.
22. Interpretable Clustering via Multi-Polytope Machines. Filed on February 18, 2022
    Dzung T. Phan, Connor Lawless, Jayant R. Kalagnanam, Lam M. Nguyen, Chandrasekhara K. Reddy.
23. Blending Graph Predictions. Filed on February 08, 2022
    Thanh Lam Hoang, Gabriele Picco, Yufang Hou, Young-Suk Lee, Lam M. Nguyen, Dzung Tien Phan, Vanessa Lopez Garcia, Ramon Fernandez Astudillo.
24. Optimal Control of Dynamic Systems via Linearizable Deep Learning. Filed on February 07, 2022
    Dung Tien Phan, Jayant R. Kalagnanam, Lam M. Nguyen.
25. Boosting Classification and Regression Tree Performance with Dimension Reduction. Filed on December 14, 2021
    Dung Tien Phan, Michael Huang, Pavankumar Murali, Lam M. Nguyen.
26. Optimizer Agnostic Explanation System for Large Scale Schedules. Filed on November 23, 2021
    Surya Shravan Kumar Sajja, Kanthi Sarpatwar, Lam M. Nguyen, Yuan Yuan Jia, Stephane Michel, Roman Vaculin.
27. Reasonable Language Model Learning for Text Generation from a Knowledge Graph. Filed on November 02, 2021
    Hoang Thanh Lam, Dzung T. Phan, Gabriele Picco, Lam M. Nguyen, Vanessa Lopez Garcia.
28. Multi-Polytope Machine for Classification. Filed on September 30, 2021
    Dzung T. Phan, Lam M. Nguyen, Jayant R. Kalagnanam, Chandrasekhara K. Reddy, Srideepika Jayaraman.
29. Site-Wide Optimization for Mixed Regression Models and Mixed Control Variables. Filed on May 25, 2021
    Dung Tien Phan, Nhan H. Pham, Lam M. Nguyen.
30. System-level Control using Tree-based Regression with Outlier Removal. Filed on August 20, 2020
    Dung Tien Phan, Pavankumar Murali, Lam M. Nguyen.
31. Automated Generation of Optimization Model for System-Wide Plant Optimization. Filed on July 24, 2020
    Dung Tien Phan, Lam M. Nguyen, Pavankumar Murali, Nianjun Zhou.

Lam M. Nguyen

(Nguyễn Minh Lâm)