This inventor holds 56 USPTO granted patents and 12 published patent applications and 2 EPO patents, primarily in Intent Classification (CPC class G06F). Top assignees: International Business Machines Corporation, Lucent Technologies Inc., Alcatel Lucent. Active years: 1998-2026.
Inventors with similar research interests:
Location History:
- Scotch Plains, NJ (US) (1998)
- Cedar Grove, NJ (US) (1999 - 2015)
- Miburn, NJ (US) (2022)
- Milburn, NJ (US) (2016 - 2023)
- Millburn, NJ (US) (2013 - 2024)
Company Filing History:
44 out of 166,264 
7 out of 9,364 
5 out of 5,033 
Years Active: 1998-2026
Areas of Expertise:
Title: **Innovative Contributions of Tin Kam Ho**
Introduction
Tin Kam Ho, based in Millburn, NJ, has made significant strides in the field of technology and data sciences through his extensive work as an inventor. With an impressive portfolio of 54 patents, he has demonstrated a profound capacity for innovation and problem-solving. His latest patents reflect cutting-edge advancements that address complex challenges in question-answering systems and machine learning techniques.
Latest Patents
Tin Kam Ho’s recent patents include the "Anticipatory Dialog Design for Question Answering with a Relational Database." This invention introduces an embodiment that facilitates dialog creation based on anticipated inquiries for database-driven conversations. By leveraging database content, it identifies schemas, entities, and relational data, and presents user-friendly choices regarding query targets and filtering conditions. The design not only prompts user annotations and clarifying questions but also generates modular phrases to create coherent sentences.
Another notable patent is "Communication-Efficient Data Parallel Ensemble Boosting," which pertains to the training of an ensemble of gradient-boosted trees using a data-parallel approach. This innovative training methodology splits the dataset among thread groups, allowing simultaneous training and validation of decision trees. This efficiency in execution ensures that the trees are optimally trained until they meet predetermined accuracy thresholds, culminating in robust predictions.
Career Highlights
Throughout his career, Tin Kam Ho has demonstrated his expertise while working with reputable organizations, including IBM and Lucent Technologies Inc. His tenure at these companies has allowed him to harness advanced technologies and contribute to significant advancements in his fields of expertise.
Collaborations
Tin Kam Ho’s collaborative efforts include working alongside esteemed colleagues such as Luis Alfonso Lastras-Montano and Oded Shmueli. These partnerships have undoubtedly enriched his innovative endeavors and fostered an environment of shared knowledge and cutting-edge research.
Conclusion
In conclusion, Tin Kam Ho is a prolific inventor whose latest work exemplifies leading-edge innovations in technology and machine learning. His impressive collection of patents showcases not only his technical proficiency but also his commitment to pushing the boundaries of what is possible in the realms of databases and data-driven decision-making. As he continues to innovate, Tin Kam Ho remains a significant figure in the world of technology and invention.