Noida, India

Harshit Oberoi

USPTO Granted Patents = 2 

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2022-2025

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2 patents (USPTO):Explore Patents

Title: **Harshit Oberoi: Innovator in Touch Prediction Technology**

Introduction

Harshit Oberoi, an accomplished inventor based in Noida, India, has made significant strides in the realm of technology. With a keen focus on enhancing user experience, he has developed a groundbreaking method that effectively predicts accidental touches on electronic devices.

Latest Patents

Oberoi holds a patent for a method and electronic device that utilizes machine learning (ML) classification for accidental touch prediction. His innovative approach involves determining a mutual data index from sensor data via a first ML model. This method is designed to identify whether the sensor data signifies an object touch or a non-object touch. When the device detects potential touch interference, it intelligently switches modes to provide appropriate notifications, thereby mitigating the occurrence of accidental touches.

Career Highlights

Harshit is currently employed at Samsung Electronics Co., Ltd., a leading global technology company. His role involves research and development in advanced touch technologies, allowing him to contribute to the continuous improvement of user interfaces across various devices. Through his innovative work, he aims to enhance the interaction users have with their electronic devices, making technology more intuitive and responsive.

Collaborations

During his tenure at Samsung, Harshit has collaborated with talented professionals, including Ankit Agarwal and Sunil Rathour. Together, they have worked on numerous projects that leverage their collective expertise to push the boundaries of technology and deliver cutting-edge solutions for consumers.

Conclusion

With a strong foundation in machine learning and a passion for innovation, Harshit Oberoi stands out as a talented inventor in the technology sector. His efforts in developing methods for accidental touch prediction not only highlight his technical prowess but also underscore his commitment to improving user experiences in the ever-evolving landscape of electronic devices. As he continues his work at Samsung Electronics, the industry eagerly anticipates further advancements stemming from his creativity and expertise.

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