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For the Inventor, By the Inventor

Bengaluru, India

Samiulla Zakir Hussain Shaikh

USPTO Granted Patents = 11

Average Co-Inventor Count = 4.3

ph-index = 2

Forward Citations = 7(Granted Patents)


Location History:

  • Ahmednagar, IN (2020 - 2023)
  • Bengaluru, IN (2021 - 2024)

Company Filing History:

goldMedal11 out of 164,108 
 
International Business Machines Corporation
 patents

Years Active: 2020-2025

where 'Filed Patents' based on already Granted Patents

11 patents (USPTO):
1. 12340285 - Testing models in data pipeline (2025-06-24),
2. 12099805 - Generation of causal explanations for text models (2024-09-24),
3. 11886385 - Scalable identification of duplicate datasets in heterogeneous datasets (2024-01-30),
4. 11551102 - Bias detection for unstructured text (2023-01-10),
5. 11521065 - Generating explanations for context aware sequence-to-sequence models (2022-12-06),
6. 11455554 - Trustworthiness of artificial intelligence models in presence of anomalous data (2022-09-27),
7. 11321304 - Domain aware explainable anomaly and drift detection for multi-variate raw data using a constraint repository (2022-05-03),
8. 11205138 - Model quality and related models using provenance data (2021-12-21),
9. 11157983 - Generating a framework for prioritizing machine learning model offerings via a platform (2021-10-26),
10. 10884713 - Transformations of a user-interface modality of an application (2021-01-05),
11. 10665123 - Smart examination evaluation based on run time challenge response backed by guess detection (2020-05-26),

Title: Innovations of Samiulla Zakir Hussain Shaikh

Introduction

Samiulla Zakir Hussain Shaikh is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of technology, holding a total of 11 patents. His work primarily focuses on advancements in data processing and machine learning.

Latest Patents

One of his latest patents involves testing models in data pipelines. This invention provides computer-implemented methods and systems that generate a data profile for a model, including metadata for data requirements and data quality metrics. It also generates perturbations for training data and validates them as relevant test data based on the model's context. Another notable patent is related to generating causal explanations for text models. This method involves receiving an input sentence for classification by a machine-learning model and creating a causal subgraph from the tokens of the sentence. It identifies tokens influencing the classification and generates a causal explanation based on these tokens.

Career Highlights

Samiulla works at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to leverage his expertise in developing innovative solutions that enhance data processing and machine learning capabilities.

Collaborations

He collaborates with talented coworkers, including Sameep Mehta and Diptikalyan Saha, to drive forward innovative projects and research initiatives.

Conclusion

Samiulla Zakir Hussain Shaikh is a notable inventor whose work in data processing and machine learning has led to significant advancements in technology. His contributions continue to shape the future of these fields.

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