PATENTS

GRANTED PATENTS

1. Site-Wide Optimization for Mixed Regression Models and Mixed Control Variables. Patent US12518174B2
   Dung Tien Phan, Nhan H. Pham, Lam M. Nguyen.
2. Optimizer Agnostic Explanation System for Large Scale Schedules. Patent US12443454B2
   Surya Shravan Kumar Sajja, Kanthi Sarpatwar, Lam M. Nguyen, Yuan Yuan Jia, Stephane Michel, Roman Vaculin.
3. Unsupervised Learning from Public Tabular Datasets. Patent US12436924B2
   Thanh Lam Hoang, Gabriele Picco, Lam M. Nguyen, Dzung Tien Phan.
4. System-level Control using Tree-based Regression with Outlier Removal. Patent US20220058515A1
   Dung Tien Phan, Pavankumar Murali, Lam M. Nguyen.
5. Automated Generation of Optimization Model for System-Wide Plant Optimization. Patent US20220027685A1
   Dung Tien Phan, Lam M. Nguyen, Pavankumar Murali, Nianjun Zhou.
6. Providing a Semantic Encoding and Language Neural Network. Patent US12217007B2
   Thanh Lam Hoang, Dzung Phan, Gabriele Picco, Lam M. Nguyen, Marco Luca Sbodio, Vanessa Lopez Garcia.
7. Blending Graph Predictions. Patent US12242801B2
   Thanh Lam Hoang, Gabriele Picco, Yufang Hou, Young-Suk Lee, Lam M. Nguyen, Dzung Tien Phan, Vanessa Lopez Garcia, Ramon Fernandez Astudillo.
8. Reasonable Language Model Learning for Text Generation from a Knowledge Graph. Patent US12216996B2
   Hoang Thanh Lam, Dzung T. Phan, Gabriele Picco, Lam M. Nguyen, Vanessa Lopez Garcia.
9. Intelligent Dynamic Condition-based Infrastructure Maintenance Scheduling. Patent US12158797B2
   Pavankumar Murali, Dzung Tien Phan, Nianjun Zhou, Lam M. Nguyen.
10. Regression-Optimization Control of Production Process with Dynamic Inputs. Patent 12399469
    Lam M. Nguyen, Pavankumar Murali, Nianjun Zhou, Binny Winston Samuel.
11. Compression of Deep Neural Networks. Patent US20200293876A1
    Dzung T. Phan, Lam M. Nguyen, Nam H. Nguyen, Jayant R. Kalagnanam.
12. Federated Learning for Training Machine Learning Models. Patent US20230196081A1
    Lam M. Nguyen, Dung Tien Phan, Jayant R. Kalagnanam.
13. A Method for Tuning Hyperparameters for Classification. Patent US20220027757A1
    Dung Tien Phan, Hongsheng Liu, Lam M. Nguyen.
14. Optimal Interpretable Decision Trees Using Integer Linear Programming Techniques. Patent US20210264290A1
    Pavankumar Murali, Haoran Zhu, Dung Tien Phan, Lam M. Nguyen.
15. Site-wide Operations Management Optimization for Manufacturing and Processing Control. Patent US20220057786A1
    Dung Tien Phan, Lam M. Nguyen, Pavankumar Murali, Hongsheng Liu.
16. Shuffling-Type Gradient Method for Training Machine Learning models with Big Data. Patent US20220171996A1
    Lam M. Nguyen, Dung Tien Phan.
17. Prediction Optimization for System-level Production Control. Patent US11099529B2 [PDF]
    Dzung T. Phan, Lam M. Nguyen, Pavankumar Murali, Jayant R. Kalagnanam.

PATENT APPLICATIONS

1. Time-Series Modeling Using Function-to-Function Mapping. Filed on February 06, 2026
   Kyong Min Yeo, Chandrasekhara K. Reddy, Wesley M. Gifford, Kanthi Sarpatwar, Lam M. Nguyen, Chandni Nagda.
2. Tokenizer-Predictor Architecture Designed for Zero-Shot Modeling of Time Series Data. Filed on January 30, 2026
   Yunshi Wen, Lam M. Nguyen, Chandrasekhara K. Reddy, Wesley M. Gifford, Jayant R. Kalagnanam, Agung Julius.
3. Deep Learning Architecture For Multivariate Time Series. Filed on December 14, 2024
   Quang Minh Nguyen, Lam M. Nguyen, Subhro Das.
4. Generative Schrodinger Network. Filed on March 11, 2024
   Thanh Lam Hoang, Marcos Martínez Galindo, Lam M. Nguyen, Niall Robertson, Vanessa Lopez Garcia.
5. 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.
6. 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.
7. 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.
8. 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.
9. Multivariable Time-Series Feature Extraction. Filed on January 27, 2023
   Lam M. Nguyen, Wang Zhang, Subhro Das, Alexandre Megretski, Luca Daniel.
10. 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.
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. Machine Learning-based Decision Framework for Physical Systems. Filed on September 20, 2022
    Dzung Tien Phan, Lam M. Nguyen.
17. 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.
18. Training A Neural Network Using an Accelerated Gradient with Shuffling. Filed on July 14, 2022
    Lam M. Nguyen, Trang H. Tran.
19. 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.
20. Integrated Machine Learning Prediction and Optimization for Decision-Making. Filed on March 30, 2022
    Dzung T. Phan, Long Vu, Lam M. Nguyen, Dharmashankar Subramanian.
21. 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.
22. Optimal Control of Dynamic Systems via Linearizable Deep Learning. Filed on February 07, 2022
    Dung Tien Phan, Jayant R. Kalagnanam, Lam M. Nguyen.
23. Boosting Classification and Regression Tree Performance with Dimension Reduction. Filed on December 14, 2021
    Dung Tien Phan, Michael Huang, Pavankumar Murali, Lam M. Nguyen.
24. Multi-Polytope Machine for Classification. Filed on September 30, 2021
    Dzung T. Phan, Lam M. Nguyen, Jayant R. Kalagnanam, Chandrasekhara K. Reddy, Srideepika Jayaraman.

Lam M. Nguyen

(Nguyễn Minh Lâm)