Sameep Mehta

Title

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

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

Secure k-NN as a Service over Encrypted Data in Multi-User Setting
- - Gagandeep Singh
  - Akshar Kaul
  - et al.
- 2018
- CLOUD 2018
On Building Efficient Temporal Indexes on Hyperledger Fabric
- - Himanshu Gupta
  - Sandeep Hans
  - et al.
- 2018
- CLOUD 2018
Content driven enrichment of formal text using concept definitions and applications
- - Abhinav Jain
  - Nitin Gupta
  - et al.
- 2018
- HT 2018
Joint distributed representation of text and structure of semi-structured documents
- - Abhishek Laddha
  - Salil Joshi
  - et al.
- 2018
- HT 2018
Efficient secure k-nearest neighbours over encrypted data
- - Manish Kesarwani
  - Sikhar Patranabis
  - et al.
- 2018
- EDBT 2018
Analyze, Detect and Remove Gender Stereotyping from Bollywood Movies
- - Nishtha Madaan
  - Sameep Mehta
  - et al.
- 2018
- FAccT 2018
Semantic understanding for contextual in-video advertising
- - Rishi Madhok
  - Shashank Mujumdar
  - et al.
- 2018
- AAAI 2018
Content and context: Two-pronged bootstrapped learning for regex-formatted entity extraction
- - Stanley Simoes
  - P. Deepak
  - et al.
- 2018
- AAAI 2018
Deep Attribute Driven Image Similarity Learning Using Limited Data
- - Nitin Gupta
  - Ankush Gupta
  - et al.
- 2017
- ISM 2017
Coherent Visual Description of Textual Instructions
- - Shashank Mujumdar
  - Nitin Gupta
  - et al.
- 2017
- ISM 2017

Patents

- 21 Nov 2024
- CN
- ZL202080067694.4
Anomaly And Drift Detection Using A Domain-indexed Constraint Repository
- 12 Aug 2024
- CN
- ZL202010434049.3
Automatic Summarization With Bias Minimization
- 22 Jul 2024
- US
- 12045291
Entity Explanation In Data Management
- 22 Apr 2024
- US
- 11966453
Ordering Annotation Sets For Machine Learning
- 26 Mar 2024
- JP
- 7461698
Anomaly And Drift Detection Using A Domain-indexed Constraint Repository
- 04 Mar 2024
- US
- 11921861
Providing The Status Of Model Extraction In The Presence Of Colluding Users
- 16 Oct 2023
- US
- 11790265
Training Artificial Intelligence Models Using Active Learning
- 25 Sep 2023
- US
- 11768860
Bucketing Records Using Temporal Point Processes
- 07 Aug 2023
- US
- 11720533
Automated Classification Of Data Types For Databases
- 31 Jul 2023
- US
- 11714963
Content Modification Using Natural Language Processing To Include Features Of Interest To Various Groups

Top collaborators

Sameep Mehta

Title

Bio

Publications

Secure k-NN as a Service over Encrypted Data in Multi-User Setting

On Building Efficient Temporal Indexes on Hyperledger Fabric

Content driven enrichment of formal text using concept definitions and applications

Joint distributed representation of text and structure of semi-structured documents

Efficient secure k-nearest neighbours over encrypted data

Analyze, Detect and Remove Gender Stereotyping from Bollywood Movies

Semantic understanding for contextual in-video advertising

Content and context: Two-pronged bootstrapped learning for regex-formatted entity extraction

Deep Attribute Driven Image Similarity Learning Using Limited Data

Coherent Visual Description of Textual Instructions

Patents

Anomaly And Drift Detection Using A Domain-indexed Constraint Repository

Automatic Summarization With Bias Minimization

Entity Explanation In Data Management

Ordering Annotation Sets For Machine Learning

Anomaly And Drift Detection Using A Domain-indexed Constraint Repository

Providing The Status Of Model Extraction In The Presence Of Colluding Users

Training Artificial Intelligence Models Using Active Learning

Bucketing Records Using Temporal Point Processes

Automated Classification Of Data Types For Databases

Content Modification Using Natural Language Processing To Include Features Of Interest To Various Groups

Top collaborators

Balaji Ganesan

Renuka Sindhgatta

Manish Kesarwani

Nitin Gupta