GRANTED PATENTS
- Federated Learning for Training Machine Learning Models. Patent I822290 Lam M. Nguyen, Dung Tien Phan, Jayant R. Kalagnanam.
- A Method for Tuning Hyperparameters for Classification. Patent 11823076 Dung Tien Phan, Hongsheng Liu, Lam M. Nguyen.
- Optimal Interpretable Decision Trees Using Integer Linear Programming Techniques. Patent 11676039 Pavankumar Murali, Haoran Zhu, Dung Tien Phan, Lam M. Nguyen.
- Site-wide Operations Management Optimization for Manufacturing and Processing Control. Patent 11656606 Dung Tien Phan, Lam M. Nguyen, Pavankumar Murali, Hongsheng Liu.
- Shuffling-Type Gradient Method for Training Machine Learning models with Big Data. Patent 11568171 Lam M. Nguyen, Dung Tien Phan.
- Prediction Optimization for System-level Production Control. Patent 11099529 [PDF] Dzung T. Phan, Lam M. Nguyen, Pavankumar Murali, Jayant R. Kalagnanam.
PATENT APPLICATIONS
- 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.
- 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.
- Regression-Optimization Control of Production Process with Dynamic Inputs. Filed on May 11, 2023 Lam M. Nguyen, Pavankumar Murali, Nianjun Zhou, Binny Winston Samuel.
- 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.
- Multivariable Time-Series Feature Extraction. Filed on January 27, 2023 Lam M. Nguyen, Wang Zhang, Subhro Das, Alexandre Megretski, Luca Daniel.
- 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.
- Unsupervised Learning from Public Tabular Datasets. Filed on December 15, 2022 Thanh Lam Hoang, Gabriele Picco, Lam M. Nguyen, Dzung Tien Phan.
- Providing Trained Reinforcement Learning Systems. Filed on December 12, 2022 Lam M. Nguyen, Wang Zhang, Subhro Das, Alexandre Megretski, Luca Daniel.
- Active Learning in Model Training. Filed on November 22, 2022 Dzung Tien Phan, Huozhi Zhou, Lam M. Nguyen, Chandrasekhara K. Reddy, Jayant R. Kalagnanam.
- Automated Decision Optimization for Maintenance of Physical Assets. Filed on October 31, 2022 Nianjun Zhou, Pavankumar Murali, Dzung T. Phan, Lam M. Nguyen.
- 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.
- Training Neural Networks with Convergence to a Global Minimum. Filed on September 23, 2022 Lam M. Nguyen.
- Intelligent Dynamic Condition-based Infrastructure Maintenance Scheduling. Filed on September 21, 2022 Pavankumar Murali, Dzung Tien Phan, Nianjun Zhou, Lam M. Nguyen.
- Machine Learning-based Decision Framework for Physical Systems. Filed on September 20, 2022 Dzung Tien Phan, Lam M. Nguyen.
- 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.
- Training A Neural Network Using an Accelerated Gradient with Shuffling. Filed on July 14, 2022 Lam M. Nguyen, Trang H. Tran.
- 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.
- Integrated Machine Learning Prediction and Optimization for Decision-Making. Filed on March 30, 2022 Dzung T. Phan, Long Vu, Lam M. Nguyen, Dharmashankar Subramanian.
- 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.
- 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.
- Optimal Control of Dynamic Systems via Linearizable Deep Learning. Filed on February 07, 2022 Dung Tien Phan, Jayant R. Kalagnanam, Lam M. Nguyen.
- Boosting Classification and Regression Tree Performance with Dimension Reduction. Filed on December 14, 2021 Dung Tien Phan, Michael Huang, Pavankumar Murali, Lam M. Nguyen.
- 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.
- 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.
- Multi-Polytope Machine for Classification. Filed on September 30, 2021 Dzung T. Phan, Lam M. Nguyen, Jayant R. Kalagnanam, Chandrasekhara K. Reddy, Srideepika Jayaraman.
- 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.
- System-level Control using Tree-based Regression with Outlier Removal. Filed on August 20, 2020 Dung Tien Phan, Pavankumar Murali, Lam M. Nguyen.
- 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.
- Compression of Deep Neural Networks. Filed on March 13, 2019. United States Patent Application 20200293876. Dzung T. Phan, Lam M. Nguyen, Nam H. Nguyen, Jayant R. Kalagnanam.
