Krithivasan Ramamritham

Title: Krithivasan Ramamritham: Innovator in Sensor Data Imputation

Introduction

Krithivasan Ramamritham is a notable inventor based in Mumbai, India. He has made significant contributions to the field of sensor data processing, particularly in the area of data imputation. His innovative approach addresses the challenges posed by missing data in sensor data sequences.

Latest Patents

One of his key patents is titled "Method for imputing missed data in sensor data sequence with missing data." This patent presents a method for imputing sensor data based on semantics learning, which is defined by the constraints of the sensor data features. The method determines a candidate value for imputation by analyzing sensor data from corresponding time instances. It employs a nearest neighbors search in similar response data sequences, utilizing data values related to the time instant of the missing data. In cases where similar response data sequences are unavailable, the imputation is performed based on the distribution pattern of the missing data. This innovative method enhances the reliability of sensor data analysis.

Career Highlights

Krithivasan has had a distinguished career, working with prestigious organizations such as the Indian Institute of Technology Bombay and Tata Consultancy Services Limited. His experience in these institutions has allowed him to develop and refine his expertise in sensor data processing and related technologies.

Collaborations

He has collaborated with various professionals in his field, including Soma Bandyopadhyay, to further advance his research and innovations.

Conclusion

Krithivasan Ramamritham's contributions to sensor data imputation demonstrate his commitment to innovation and excellence in technology. His work continues to influence the field and provides valuable solutions for handling missing data in sensor sequences.