Maharaj Mukherjee

Poughkeepsie, NY, United States of America

Maharaj Mukherjee

This inventor holds 262 USPTO granted patents and 119 published patent applications, plus 1 CIPO patent and 2 EPO patents, primarily in Cybersecurity Solutions (CPC class G06N20-00). Top assignees: Bank of America Corporation, International Business Machines Corporation, Globalfoundries Inc.. Active years: 2003-2026.

USPTO Granted Patents = 262 

% Patents Active = 71.8

 

 

Average Co-Inventor Count = 2.4

ph-index = 13

Forward Citations = 666(Granted Patents)

Forward Citations (Not Self Cited) = 593(Dec 10, 2025)


Inventors with similar research interests:

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Location History:

  • New Paltz, NY (US) (2003 - 2004)
  • Hopewell Jct., NY (US) (2012)
  • Wappingers Falls, NY (US) (2006 - 2020)
  • Poughkeepsie, NY (US) (2015 - 2024)

Company Filing History:


Years Active: 2003-2026

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Areas of Expertise:
Cybersecurity
Real-Time Detection
Multi-Factor Authentication
Digital Watermarking
Image Processing
Blockchain
Steganography
Artificial Intelligence
Data Security
Machine Learning
Anomaly Detection
Quantum Computing
262 patents (USPTO):Explore Patents

Maharaj Mukherjee: Pioneering Innovator in Neural Networks and Return Logistics


In the realm of inventive minds, Maharaj Mukherjee stands out as a creative force, making substantial contributions to neural networks and return logistics. Hailing from Poughkeepsie, NY, Mukherjee has amassed an impressive portfolio of 140 patents. This article delves into his latest patents, career highlights, and notable collaborations.


Maharaj Mukherjee's recent patents showcase his ingenuity and technical prowess. One significant patent titled "Multi-layer neural network and convolutional neural network for context-sensitive optical character recognition" demonstrates his advancements in optical character recognition (OCR). This invention utilizes a combination of convolutional neural networks (CNN) and recurrent neural networks (RNN) to identify characters in images while retaining contextual OCR information accurately. Another notable patent by Mukherjee is the "Distributed ledger platform for improved return logistics." This innovative concept utilizes a distributed ledger, often associated with blockchain technology, to streamline return logistics processes. The platform enables efficient transaction tracking, ensuring smooth resource transfers between buyers and sellers within return scenarios.


Throughout his career, Maharaj Mukherjee has worked with prominent companies, leaving an indelible mark on the industry. His expertise in AI and machine learning attracted the attention of International Business Machines Corporation (IBM), where he contributed significantly to various research and development projects. His groundbreaking work on neural networks has allowed for advancements in OCR and pattern recognition technology. Additionally, Mukherjee collaborated with the Bank of America Corporation, where his expertise played an instrumental role in enhancing return logistics systems. By leveraging his skills in distributed ledger technology, he devised innovative solutions that facilitated seamless transactions and improved overall efficiency.


Maharaj Mukherjee had the privilege of collaborating with remarkable individuals during his illustrious career. Notable among his coworkers are Jonathan Lenchner and Shang Guo. Together, they brought new ideas to fruition and contributed to innovation with their combined expertise.


Maharaj Mukherjee's passion for pushing the boundaries of innovation has resulted in a prolific career in neural networks and return logistics, positioning him as a leading figure in these fields. With his invaluable contributions to companies like IBM and Bank of America Corporation, Mukherjee continues to shape the landscape of technological advancements, leaving an indelible legacy in the world of innovations and patents.

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