Niraj Kumar

     
 



Researcher & Educationalist

E-Mail
nirajrkumar@gmail.com,
nirajrkumar@yahoo.com,                                
niraj_kumar@research.iiit.ac.in
Mobile: 91+8585928474;  91+8142710442
View Niraj Kumar's profile on LinkedIn      

WORK EXPERIENCE

  1. Senior Machine Learning Scientist at Phenom People (Hyderabad, India). Dec-2016 to Now  

  2. Post Doctoral Researcher at University of California (Davis). Sep-2015 to Sep-2016

  3. Research Professional, TCS Innovation Lab, New Delhi. May 2013 to Aug-2015

  4. Research Intern; IBM IRL; Bangalore, India. May 2012 – July 2012

Academic Qualifications

I obtained my PhD, (CSE) from IIIT-Hyderabad (June-2015), under the guidance of  Dr. Kannan Srinathan and Dr. Vasudeva Varma (Prof. and Dean R&D, IIIT-Hyderabad).

PhD Thesis Title: Towards Intelligent Text Mining: Under Limited Linguistic Resources.

Achievements Related to PhD Thesis: My system was in Top system for "Automatic Summarization Evaluation Task" at Text Analysis Conference, organized by National Institute of Standards and Technology (NIST), Gaithersburg, Maryland, USA, TAC-2010 and TAC-2011. (See Result: TAC-2010, TAC-2011 )

Imp: TAC and TREC is considered as top US based evaluation and benchmarking organization for research in the area of NLP/IR.

The thesis can be downloaded from: http://web2py.iiit.ac.in/research_centres/publications/view_publication/phdthesis/45

Research Interests

My research interests broadly span five areas and more specifically their intersection: Human Language Technology, Deep Learning, Machine Learning, Social Media Mining and Artificial Intelligence.

I am interested in almost every aspect of the above-discussed techniques and have experience in the following areas (including but not limited to):

 

     Knowledge Graph Construction, Dynamic Ontology,

     Neural Language Model (using Deep Learning)

     Dynamic Contextual Search and Semantic Search

     Information Retrieval

     Natural language Generation / Information Fusion

     Languages in Social Medias

     Recommendation System

     Sentiment Analysis / Opinion Mining

     Named Entity Recognition (NER), Keyphrase Extraction

     Automatic Question Answering Systems

     Text Summarization, Summarization Evaluation, Text Clustering, Classification etc.



Books


Educational YouTube Channel

At the current time, I am running a YouTube channel "Data Science, ML & AI Tutorials by Dr. Niraj". It freely provides high-quality video tutorials on topics related to "Text Mining", "Graph Algorithms", "Machine Learning", and Deep Learning" etc. I prepare these tutorials on my free time (weekend). (My YouTube Channel can be reached at: https://www.youtube.com/channel/UC95bRAbJdLyXGbMfNemr9lQ )


ACHIEVEMENTS
  1. BEST PAPER AWARD (1st place) @ CICLING-2014 - Details: "Niraj Kumar; "A Graph Based Automatic Plagiarism Detection Technique to Handle The Artificial Word Reordering and Paraphrasing", A. Gelbukh (Ed.): CICLing 2014, LNCS 8404, pp. 481–494, 2014. (LINK)
  2. IN TOP SYSTEM @ TAC-2011My system was in the top system for "Automatic Summarization Evaluation Task" at Text Analysis Conference (TAC 2011), organized by National Institute of Standards and Technology (NIST), Gaithersburg, Maryland, USA TAC-2011. (For details, see My Publications)
  3. IN TOP SYSTEM @ TAC-2010My system was in the top system for "Automatic Summarization Evaluation Task" at Text Analysis Conference (TAC 2010), organized by National Institute of Standards and Technology (NIST), Gaithersburg, Maryland, USA TAC-2010. (For details, see My Publications).
  4. Other Recognition:  Our Unsupervised Phrase Identification technique for Keyphrase Extraction, has been appreciated by the survey paper published in COLING-2010, Titled: "Conundrums in Unsupervised Keyphrase Extraction: Making Sense of the State-of-the-Art" 
 
Blogs, Sharings and Resume:
 Read My Blogs (All Technical) (Machine Learning, Sentiment Analysis, Keyphrase extraction, etc.