Raman Srinivasan

Title: Innovations by Inventor Raman Srinivasan

Introduction

Raman Srinivasan is a notable inventor based in Plano, Texas, recognized for his contributions to the field of infectious disease dynamics and medical episode identification. With a total of three patents to his name, he has made significant strides in utilizing technology to address critical health issues.

Latest Patents

One of his latest patents is titled "Hypothetical scenario evaluation in infectious disease dynamics based on similar regions." This invention provides mechanisms for evaluating hypothetical scenarios regarding infectious disease dynamics by identifying predefined regions with similar characteristics to a target region. The process involves receiving user-defined scenario features that affect disease spread, identifying attributes of similar regions, and modifying model parameters for an infectious disease computer model. The model is then executed to generate predictions for disease spread based on the hypothetical scenario.

Another significant patent is the "Machine learning augmented system for medical episode identification and reporting." This invention features a medical episode analysis engine that generates matrix data structures to analyze concept pairings and their relatedness. The engine processes new input data to identify instances of corresponding episodes, enhancing the efficiency of medical reporting and analysis.

Career Highlights

Raman Srinivasan's career is marked by his innovative approach to solving complex health-related problems through technology. His work has not only contributed to academic knowledge but has also provided practical solutions for real-world applications in healthcare.

Collaborations

Throughout his career, Raman has collaborated with talented individuals such as Ajay Ashok Deshpande and Vishrawas Gopalakrishnan. These collaborations have further enriched his research and development efforts, leading to impactful innovations.

Conclusion

Raman Srinivasan exemplifies the spirit of innovation in the field of health technology. His patents reflect a commitment to improving public health through advanced modeling and machine learning techniques.