Sameep Mehta

Overview

Title

IBM Distinguished Engineer and Senior Manager. Data and AI Platforms. IBM Research AI

Location

IBM Research - India Bengaluru, India

Bio

Sameep Mehta is IBM Distinguished Engineer at IBM Research AI. He leads the global Data Strategy for AI. His research interests includes Innovations in Data Lifecycle, Trusted AI & Meta Data Management. He is regular speaker at various technical forums and is recipient of multiple best & runner-up best paper awards at top AI conferences. He holds Adjunct Faculty Position at IIT-Jodhpur and IIIT-Delhi. Recently, he has co-authored a book AI for You - The New Game Changer which aims to demystify AI for Business Leaders. Prior to joining IBM Research, Sameep received his Ph.D. from The Ohio State University in 2006.

Publications

Overview and Importance of Data Quality for Machine Learning Tasks
- - Abhinav Jain
  - Hima Patel
  - et al.
- 2020
- KDD 2020
Multidimensional Analysis of Trust in News Articles
- - Avneet Kaur
  - Maitree Leekha
  - et al.
- 2020
- AAAI 2020
Feedback-Based Keyphrase Extraction from Unstructured Text Documents
- - Nishtha Madaan
  - Mudit Saxena
  - et al.
- 2020
- COMSNETS 2020
Handling Gender Biases in E-Commerce Product Specifications
- - Ashima Suvarna
  - Kuntal Dey
  - et al.
- 2019
- GHCI 2019
Fair Transfer of Multiple Style Attributes in Text
- - Karan Dabas
  - Nishtha Madaan
  - et al.
- 2019
- GHCI 2019
Design diagrams as ontological source
- - Pranay Lohia
  - Kalapriya Kannan
  - et al.
- 2019
- ESEC/FSE 2019
A novel feature transform framework using deep neural network for multimodal floor plan retrieval
- - D. Sharma
  - Nitin Gupta
  - et al.
- 2019
- IJDAR
On Efficiently Processing Workflow Provenance Queries in Spark
- - Rajmohan C
  - Pranay Kumar Lohia
  - et al.
- 2019
- ICDCS 2019
Ownership preserving AI market places using blockchain
- - Nishant Baranwal Somy
  - Kalapriya Kannan
  - et al.
- 2019
- Blockchain 2019
Hardening Deep Neural Networks via Adversarial Model Cascades
- - Deepak Vijaykeerthy
  - Anshuman Suri
  - et al.
- 2019
- IJCNN 2019

Patents

- 02 May 2022
- US
- 11321304
Domain Aware Explainable Anomaly And Drift Detection For Multi-variate Raw Data Using A Constraint Repository
- 11 Apr 2022
- US
- 11302096
Determining Model-related Bias Associated With Training Data
- 28 Feb 2022
- US
- 11263188
Generation And Management Of An Artificial Intelligence (ai) Model Documentation Throughout Its Life Cycle
- 17 Jan 2022
- US
- 11227099
Automatic Summarization With Bias Minimization
- 10 Jan 2022
- US
- 11222087
Dynamically Debiasing An Online Job Application System
- 20 Dec 2021
- US
- 11204953
Generation Of Lineage Data Subset Based Upon Business Role
- 20 Dec 2021
- US
- 11205138
Model Quality And Related Models Using Provenance Data
- 13 Dec 2021
- US
- 11200283
Cohesive Visualized Instruction Representation
- 25 Oct 2021
- US
- 11157983
Generating A Framework For Prioritizing Machine Learning Model Offerings Via A Platform
- 11 Oct 2021
- US
- 11144569
Operations To Transform Dataset To Intent

Top collaborators

Sameep Mehta

Overview

Title

Location

Bio

Publications

Overview and Importance of Data Quality for Machine Learning Tasks

Multidimensional Analysis of Trust in News Articles

Feedback-Based Keyphrase Extraction from Unstructured Text Documents

Handling Gender Biases in E-Commerce Product Specifications

Fair Transfer of Multiple Style Attributes in Text

Design diagrams as ontological source

A novel feature transform framework using deep neural network for multimodal floor plan retrieval

On Efficiently Processing Workflow Provenance Queries in Spark

Ownership preserving AI market places using blockchain

Hardening Deep Neural Networks via Adversarial Model Cascades

Patents

Domain Aware Explainable Anomaly And Drift Detection For Multi-variate Raw Data Using A Constraint Repository

Determining Model-related Bias Associated With Training Data

Generation And Management Of An Artificial Intelligence (ai) Model Documentation Throughout Its Life Cycle

Automatic Summarization With Bias Minimization

Dynamically Debiasing An Online Job Application System

Generation Of Lineage Data Subset Based Upon Business Role

Model Quality And Related Models Using Provenance Data

Cohesive Visualized Instruction Representation

Generating A Framework For Prioritizing Machine Learning Model Offerings Via A Platform

Operations To Transform Dataset To Intent

Top collaborators

Balaji Ganesan

Renuka Sindhgatta

Manish Kesarwani

Nitin Gupta