IDiyas

For the Inventor, By the Inventor

Chennai, India

Avinash Achar

USPTO Granted Patents = 12 

 

Average Co-Inventor Count = 3.3

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:

goldMedal12 out of 1,549 
 
Tata Consultancy Services Limited
 patents

Years Active: 2020-2025

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12 patents (USPTO):
1. 12230134 - Systems and methods for public transit arrival time prediction (2025-02-18),
2. 12111620 - Multi-agent deep reinforcement learning for dynamically controlling electrical equipment in buildings (2024-10-08),
3. 12093805 - Optimal policy learning and recommendation for distribution task using deep reinforcement learning model (2024-09-17),
4. 11809817 - Methods and systems for time-series prediction under missing data using joint impute and learn technique (2023-11-07),
5. 11593822 - Method and system for time series data prediction based on seasonal lags (2023-02-28),
6. 11556869 - Method and system for dynamically predicting vehicle arrival time using a temporal difference learning technique (2023-01-17),
7. 11538100 - Neural network based prediction of competition behaviour in energy markets (2022-12-27),
8. 11486718 - Predicting vehicle travel time on routes of unbounded length in arterial roads (2022-11-01),
9. 11476669 - Method and system for building reinforcement learning (RL) based model for generating bids (2022-10-18),
10. 11416881 - Method and system for forecasting sales based on N-Gram model (2022-08-16),
11. 11415706 - Method and system for estimating a trajectory from GPS data points (2022-08-16),
12. 10706720 - Predicting vehicle travel times by modeling heterogeneous influences between arterial roads (2020-07-07),

Title: Innovations by Avinash Achar: Transforming the Future of Public Transit and Building Management

Introduction

Avinash Achar, an accomplished inventor based in Chennai, India, has made significant strides in the field of technology with a remarkable portfolio of 12 patents. He is known for his innovative approaches to complex challenges in public transit systems and building management. His work aims to enhance the efficiency and effectiveness of these systems through advanced technologies.

Latest Patents

Among his latest patents are groundbreaking systems and methods for public transit arrival time prediction. Understanding that arrival and travel times can vary due to numerous factors, including traffic and demand fluctuations, Avinash's patent tackles the unique challenges faced in the developing world. The disclosure presents a system employing recurrent neural networks (RNNs) to provide real-time predictions of bus arrival times, integrating spatial, temporal, and seasonal correlations.

Avinash has also developed a multi-agent deep reinforcement learning system for the dynamic control of electrical equipment in buildings. This innovation utilizes a simulation model based on design specifications to train each reinforcement learning agent. The aim is to establish optimal policies for controlling subsystems while addressing comfort constraints. By learning from their interactions, these agents optimize control parameters to enhance the performance of electrical systems within buildings.

Career Highlights

Avinash Achar works with Tata Consultancy Services Limited, where he has contributed to numerous projects centered on smart technology solutions. His background in computer science and engineering has equipped him with the skills necessary to innovate in complex environments. His commitment to research and development has placed him at the forefront of technological advancements.

Collaborations

Throughout his career, Avinash has collaborated with talented professionals, including Venkatesh Sarangan and Anand Sivasubramaniam. These partnerships enable him to foster innovative ideas and develop effective solutions in the fields of public transit and building management.

Conclusion

Avinash Achar continues to push the boundaries of innovation through his patents and collaborative efforts. His work in public transit arrival prediction and building management systems holds promise for improving the efficiency of these essential services, especially in the developing world. As technology evolves, Avinash's contributions will undoubtedly play a vital role in shaping a smarter future.

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