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For the Inventor, By the Inventor

Pleasantville, NY, United States of America

Dzung Tien Phan

USPTO Granted Patents = 15 


Average Co-Inventor Count = 3.5

ph-index = 2

Forward Citations = 6(Granted Patents)


Location History:

  • Ossining, NY (US) (2020 - 2024)
  • Pleasantville, NY (US) (2023 - 2024)

Company Filing History:

goldMedal15 out of 164,108 
 
International Business Machines Corporation
 patents

Years Active: 2020-2025

where 'Filed Patents' based on already Granted Patents

15 patents (USPTO):
1. 12488223 - Federated learning for training machine learning models (2025-12-02),
2. 12443682 - Automated generation of optimization model for system-wide plant optimization (2025-10-14),
3. 12436924 - Unsupervised learning from public tabular datasets (2025-10-07),
4. 12242801 - Blending graph predictions (2025-03-04),
5. 12217007 - Providing a semantic encoding and language neural network (2025-02-04),
6. 12216996 - Reasonable language model learning for text generation from a knowledge graph (2025-02-04),
7. 12210403 - Asset replacement optimization based on predicted risk of failure (2025-01-28),
8. 12158797 - Intelligent dynamic condition-based infrastructure maintenance scheduling (2024-12-03),
9. 12066813 - Prediction and operational efficiency for system-wide optimization of an industrial processing system (2024-08-20),
10. 11966837 - Compression of deep neural networks (2024-04-23),
11. 11568171 - Shuffling-type gradient method for training machine learning models with big data (2023-01-31),
12. 11410891 - Anomaly detection and remedial recommendation (2022-08-09),
13. 11216743 - Learning sparsity-constrained gaussian graphical models in anomaly detection (2022-01-04),
14. 11099529 - Prediction optimization for system level production control (2021-08-24),
15. 10733813 - Managing anomaly detection models for fleets of industrial equipment (2020-08-04),

Title: Innovations of Dzung Tien Phan

Introduction

Dzung Tien Phan is a notable inventor based in Pleasantville, NY (US). He has made significant contributions to the field of optimization and data generation, holding a total of 14 patents. His work focuses on enhancing processes through innovative methodologies and technologies.

Latest Patents

One of his latest patents is titled "Automated generation of optimization model for system-wide plant optimization." This invention involves a computer-implemented method for automatically generating an optimization model for site-wide plant optimization. It includes mapping a process flow diagram of a plant process to a graph comprising nodes and edges, where the nodes represent processes and the edges represent flows between processes. A behavior is learned for each node of the graph based on historic data of the plant process. Additionally, one or more regression functions are modeled for each node to predict an output of each of the processes, based on the learned behavior for each node. Another significant patent is "Unsupervised learning from public tabular datasets." This method, computer program product, and system provide for feature engineering and synthetic data generation. A processor retrieves a plurality of data tables that are heterogeneous in format and content. It trains a variational auto-encoder (VAE) model on these data tables and generates a synthetic data table based on an input data table and the trained VAE model.

Career Highlights

Dzung Tien Phan is currently employed at International Business Machines Corporation (IBM), where he continues to innovate and develop new technologies. His work has had a profound impact on the efficiency and effectiveness of various processes within the industry.

Collaborations

Some of his notable coworkers include Lam Nguyen and Thanh Lam Hoang, who have collaborated with him on various projects and patents.

Conclusion

Dzung Tien Phan is a distinguished inventor whose work in optimization and data generation has led to numerous patents and advancements in technology. His contributions continue to shape the future of industrial processes and data management.

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