Personal information

Websites & social links

https://www.nirajai.com/
LinkedIn Profile
My YouTube Channel
My Technical Blogs

Keywords

Large Language Models (LLM), Generative AI, NLP, Deep Learning, Machine Learning, Advanced Graph Algorithms

Countries

India

Biography

Profile Summary
Competent in leadership, strategic innovation, and cross-domain R&D, with around 11 years of industry experience. Recognized for leading high-caliber teams of researchers and developers to pioneer advanced solutions in data science, AI/ML, and NLP. Demonstrated success in fostering innovation, securing patents, and publishing in top-tier journals and conferences. Expert in strategizing and executing research projects with impactful business alignment.
Areas of Expertise
1. NLP: Conversational AI, Large Language Models ‘LLM’s’, Code-Mixed Language Models, Emotional Intelligence, Multi-Modal NLP, Core NLP
2. AI-ML: Deep Learning, Machine Learning, AI, Generative AI, Explainable AI, Trustable AI
3. Data Science: Spatiotemporal, Multi-step, Multivariate Time Series Forecasting, Cold Start Time Series Forecasting, Knowledge Graphs, Causal Graphs and Causal Learning, Recommendation Systems, Data and Text Analytics.

Activities

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Employment (6)

Fujitsu Research of India Pvt Ltd (FRIPL): Bangalore, IN

2022-04-04 to present | Research Manager (AI and Machine Learning)
Employment
Source: Self-asserted source
Niraj Kumar

Samsung (India): Bengaluru, Karnataka, IN

2020-05-11 to 2022-04-04 | Senior Chief Engineer II & Manager (Computer Science & Engineering)
Employment
Source: Self-asserted source
Niraj Kumar

Conduent : Bangalore, Karnataka, IN

2018-04-02 to 2020-05-04
Employment
Source: Self-asserted source
Niraj Kumar

Phenom People: Hyderabad, Telangana, IN

2016-12-15 to 2018-02-28
Employment
Source: Self-asserted source
Niraj Kumar

University of California: Davis, CA, US

2015-09-01 to 2016-09-30 | Postdoctoral Researcher (Computer Science)
Employment
Source: Self-asserted source
Niraj Kumar

TCS Innovation Lab: Delhi, Delhi, IN

2013-05-02 to 2015-08-14 | Researcher
Employment
Source: Self-asserted source
Niraj Kumar

Education and qualifications (3)

International Institute of Information Technology Hyderabad: Gachibowli, Telangana, IN

2009-06-30 to 2015-07-22 | PhD (Computer Science)
Qualification
Source: Self-asserted source
Niraj Kumar

Indira Gandhi National Open University: New Delhi, Delhi, IN

2004-06-30 | MCA
Qualification
Source: Self-asserted source
Niraj Kumar

Indira Gandhi National Open University: New Delhi, Delhi, IN

2002-06-30 | BCA
Qualification
Source: Self-asserted source
Niraj Kumar

Works (26)

AnomGraphAdv: Enhancing Anomaly and Network Intrusion Detection in Wireless Networks Using Adversarial Training and Temporal Graph Networks

2024-05-27 | Conference paper
DOI: 10.1145/3643833.3656130
Contributors: Supriya Bajpai; Pagadala Krishna Murthy; Niraj Kumar
Source: check_circle
Crossref

Intent Focused Semantic Parsing and Zero-Shot Learning for Out-of-Domain Detection in Spoken Language Understanding

IEEE Access
2021 | Journal article
DOI: 10.1109/ACCESS.2021.3133657
Contributors: Niraj Kumar; Bhiman Kumar Baghel
Source: check_circle
Crossref

Smart Stacking of Deep Learning Models for Granular Joint Intent-Slot Extraction for Multi-Intent SLU

IEEE Access
2021 | Journal article
Source: Self-asserted source
Niraj Kumar

Smart Stacking of Deep Learning Models for Granular Joint Intent-Slot Extraction for Multi-Intent SLU

IEEE Access
2021 | Journal article
DOI: 10.1109/ACCESS.2021.3095416
Contributors: Niraj Kumar; Bhiman Kumar Baghel
Source: check_circle
Crossref

Neural network systems and methods for target identification from text

US Patent 11,017,177
2021-05 | Other
Source: Self-asserted source
Niraj Kumar

A Unified System for Aggression Identification in English Code-Mixed and Uni-Lingual Texts

Proceedings of the 7th ACM IKDD CoDS and 25th COMAD
2020 | Book chapter
Source: Self-asserted source
Niraj Kumar

A Unified System for Aggression Identification in English Code-Mixed and Uni-Lingual Texts

Proceedings of the 7th ACM IKDD CoDS and 25th COMAD
2020 | Book chapter
Source: Self-asserted source
Niraj Kumar

Neural network systems and methods for event parameter determination

US Patent App. 16/456,807
2020-12 | Other
Source: Self-asserted source
Niraj Kumar

OntoCat: Automatically categorizing knowledge in API Documentation

arXiv preprint arXiv:1607.07602
2016 | Journal article
Source: Self-asserted source
Niraj Kumar

A Graph based Unsupervised N-gram Filtration Technique for Automatic Keyphrase Extraction

Int. J. of Data Mining, Modelling and Management
2015 | Journal article
Source: Self-asserted source
Niraj Kumar

Towards Intelligent Text Mining Under Limited Linguistic Resources

2015 | Journal article
Source: Self-asserted source
Niraj Kumar

Unsupervised Deep Semantic and Logical Analysis for Identification of Solution Posts from Community Answers

Int. J. of Information and Decision Sciences
2015 | Journal article
Source: Self-asserted source
Niraj Kumar

A graph based automatic plagiarism detection technique to handle artificial word reordering and paraphrasing

International Conference on Intelligent Text Processing and Computational Linguistics
2014 | Conference paper
Source: Self-asserted source
Niraj Kumar

A Knowledge Induced Graph-Theoretical Model for Extract and Abstract Single Document Summarization

Computational Linguistics and Intelligent Text Processing
2013 | Book chapter
Source: Self-asserted source
Niraj Kumar

Automatic Quality Assessment of Documents with Application to Essay Grading

MICAI
2013 | Conference paper
Source: Self-asserted source
Niraj Kumar

Exploring the Role of Logically Related Non-Question Phrases for Answering Why-Questions

arXiv preprint arXiv:1303.7310
2013 | Journal article
Source: Self-asserted source
Niraj Kumar

Using graph based mapping of co-occurring words and closeness centrality score for summarization evaluation

International Conference on Intelligent Text Processing and Computational Linguistics
2012 | Conference paper
Source: Self-asserted source
Niraj Kumar

Using Wikipedia anchor text and weighted clustering coefficient to enhance the traditional multi-document summarization

International Conference on Intelligent Text Processing and Computational Linguistics
2012 | Conference paper
Source: Self-asserted source
Niraj Kumar

Using Unsupervised System with least linguistic features for TAC-AESOP Task

Text Analysis Conference (TAC 2011)
2011 | Conference paper
Source: Self-asserted source
Niraj Kumar

An Effective Approach for AESOP and Guided Summarization Task.

TAC
2010 | Conference paper
Source: Self-asserted source
Niraj Kumar

Evaluating Information Coverage in Machine Generated Summary and Variable Length Documents.

COMAD
2010 | Conference paper
Source: Self-asserted source
Niraj Kumar

EXPLOITING N-GRAM IMPORTANCE AND ADDITIONAL KNOWEDGE BASED ON WIKIPEDIA FOR IMPROVEMENTS IN GAAC BASED DOCUMENT CLUSTERING

2010 | Journal article
Source: Self-asserted source
Niraj Kumar

Exploiting N-gram Importance and Wikipedia based Additional Knowledge for Improvements in GAAC based Document Clustering.

KDIR
2010 | Journal article
Source: Self-asserted source
Niraj Kumar

Key Fact Extraction from News wire Articles by Exploiting Local features based weighting and Interaction of sentences

ICON
2010 | Conference paper
Source: Self-asserted source
Niraj Kumar

A new approach for clustering variable length documents

2009 IEEE International Advance Computing Conference
2009 | Conference paper
Source: Self-asserted source
Niraj Kumar

Automatic keyphrase extraction from scientific documents using N-gram filtration technique

Proceedings of the eighth ACM symposium on Document engineering
2008 | Conference paper
Source: Self-asserted source
Niraj Kumar
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