White Plains, NY, United States of America

Chul Sung

USPTO Granted Patents = 3 

Average Co-Inventor Count = 4.4

ph-index = 1

Forward Citations = 2(Granted Patents)


Location History:

  • Austin, TX (US) (2020)
  • White Plains, NY (US) (2020 - 2021)

Company Filing History:


Years Active: 2020-2021

where 'Filed Patents' based on already Granted Patents

3 patents (USPTO):

Title: Innovations by Inventor Chul Sung

Introduction

Chul Sung is an accomplished inventor based in White Plains, NY (US). He has made significant contributions to the field of technology, particularly in the realm of artificial intelligence and product value assessment. With a total of 3 patents to his name, Chul has demonstrated a commitment to innovation and problem-solving.

Latest Patents

Chul Sung's latest patents include a groundbreaking device loss prediction, prevention, and recovery system. This artificial intelligence system monitors and records the usage of a set of mobile devices that have been paired or grouped together. Over time, it accumulates a history of times and locations associated with events that occur with respect to the devices. The system develops a usage model for the devices and, if it detects current usage diverging significantly from expected usage, it performs responsive actions. These actions may include notifying a user via a paired device that the mobile device may be lost or misplaced, commanding the 'lost' mobile device to enter a reduced power state to prolong battery life, and/or commanding the 'lost' device to emit audible and/or visible signals to facilitate locating it. In some embodiments, the system can predict an imminent loss of the device before it becomes lost, based on current usage versus expected usage embodied in the model.

Another notable patent is the multi-layered product value score generation approach. This innovation provides a method for determining a product value score by identifying features of a product and collecting ranking data for each identified feature. The ranking data includes popularity, stability, availability, and memory usage of each feature. Additional data for each feature, such as importance, conversion rate, and marketing impact, are also determined. Based on this data, normalized data is generated according to the characteristics of the features. A data science prediction analysis is then conducted to determine the weights of the features, ultimately leading to the selection of a key product from a set of products and the determination of product value scores.

Career Highlights

Chul Sung is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to explore and develop innovative solutions that address real-world challenges in technology.

Collaborations

Chul has collaborated with notable coworkers, including ChunHui Yang Higgins and Bo Zhang. These collaborations have contributed to the advancement of his projects and the successful development of his patents.

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