Barathi Ganesh Hullathy Balakrishnan






Cognitive
 Science Practitioner and Research Scholar

Personal:  barathiganesh.hb@gmail.com
Academic: cb.en.d.cen15005@cb.students.amrita.edu
Mobile:   +91 - 8220789570


Cognitive Science Practitioner and Research Scholar (Ph.D.) with good theoretical – practical experience in Linear algebra, 
Optimization, Probabilistic Graphical Models, Machine Learning, Deep Learning and Dimensionality Reduction Methods.
Specialized in the field of Natural Language Processing, Text Mining, Data Mining, Image Processing, Speech Processing and Distributional frameworks
.

Professional Experience

Research Scholar - Cognitive Science Practitioner
        Computational Engineering and Networking, NLP, Amrita Vishwa Vidyapeetham
        August 2017 - Present
        Web: https://www.amrita.edu/center/computational-engineering-and-networking
        Domain: Working on Cognitive Science applications through Natural Language Processing, Machine Learning, Deep learning, Computer Vision, Data Mining and Text Mining.

Research Scientist Analyst - Cognitive Science Practitioner
        Accenture Innovation Center for Analytics, Artificial Intelligence, Accenture
        December 2016 - July 2017
        Web: http://www.accenture.com/
        Domain: Worked on Cognitive Science applications through Natural Language Processing, Machine Learning, Deep Learning, Data Mining and Text Mining.

Assistant System Engineer - Cognitive Science Practitioner
        Digital Enterprise Services and Solutions, Artificial Intelligence Practice, Tata Consultancy Services
        September 2015 - December 2016
        Web: http://www.tcs.com/
        Domain: Worked on Cognitive Science applications through Natural Language Processing, Machine Learning, Deep Learning, Data Mining and Text Mining.

Intern
       Artificial Intelligence Practice, Tata Consultancy Services
        June 2015 - August 2015
        Web: http://www.tcs.com/
        Domain: Worked on Machine Learning algorithms in Natural Language Processing applications with Artificial Intelligence team. (Co-Reference Resolution and Sentence Simplification)

Education

Doctor of Philosophy (pursuing) (Ph.D.)
        Registered at Center for Computational Engineering and Networking
        Amrita Vishwa Vidyapeetham, Coimbatore
        August 2015 - Present
        Thesis Advisor: Dr. M. Anand Kumar
        Web: https://www.amrita.edu/faculty/anand-kumar
        Domain: Machine Learning, Deep Learning in Distributed and Parallel computation frameworks. Proving same on the Natural Language Processing and Image Processing applications for the humanity development.

Master of Technology (M.Tech) :
        Center for Computational Engineering and Networking
        Amrita Vishwa Vidyapeetham, Coimbatore
        2013-2015
        Thesis Advisor: Dr. M. Anand Kumar
        Web: https://www.amrita.edu/faculty/anand-kumar
        Thesis: Social Media Analysis based on Semanticity of Streaming and Batch Data

Bachelor of Engineering (B.E) : 
        Electronics and Communication Engineering
        CSI College of Engineering, Nilgiris
        2009-2013
        Web: http://www.csice.edu.in/
        Thesis: Energy Harvesting through Electromagnetic Waves

Research

International Shared Tasks Participated

  • Forum for Information Retrieval and Evaluation (FIRE-2014): NER - Named Entity Recognition Indian Languages

  • Named Entity rEcognition and Linking (#Micropost2015 NEEL): Named Entity Recognition and Linking

  • Semantic Evaluation Exercises (SemEval-2016): Semantic Textual Similarity - A Unified Framework for Semantic Processing and Evaluation

  • PAN @ Conference and Labs of Evaluation Forum (PAN-2016): Author Profiling

  • Forum for Information Retrieval and Evaluation (FIRE-2016): Mixed Script Information Retrieval (MSIR)
  • Forum for Information Retrieval and Evaluation (FIRE-2016): Consumer Health Information Search (CHIS)

  • Forum for Information Retrieval and Evaluation (FIRE-2016): Code Mixed Entity Extraction – Indian Languages (CMEE – IL)
  • PAN @ Conference and Labs of Evaluation Forum (PAN-2017): Author Profiling
  • Forum for Information Retrieval and Evaluation (FIRE-2017): Gender Identification in Russian Texts (RusProfiling)
  • Forum for Information Retrieval and Evaluation (FIRE-2017) : Information Retrieval from Legal Documents (IRLeD)
  • 2nd Social Media Mining for Health Application shared task at AMIA 2017
  • Sentiment Analysis for Indian Languages (Code Mixed) SAIL 2017
  • The 8th International Cybersecurity  Data Mining Competition (CDMC-2017)

Publications in Book Chapters

  • Reshma U, Barathi Ganesh HB, J. Jyothi, R. Gandhiraj and K. P. Soman. "Wavelet Based RTL-SDR Real Time Signal Denoising in GNU Radio." Advanced Computing, Networking, and Informatics.

Publications in International Journals

  • Reshma U, Barathi Ganesh HB, Anand Kumar M, K. P. Soman. "Supervised Methods for Domain Classification of Tamil Documents.ARPN Journal of Engineering and Applied Sciences.

  • Shyam R, Barathi Ganesh HB, Sachin Kumar S, Prahabaran Poornachandran and K. P. Soman. "Apache Spark a Big Data Analytics Platform for Smart Grid."

  • M. Elangovan, SS Kumar and Barathi Ganesh HB. "Conditional Monitoring of a Valve in a Reciprocating Compressor using Machine Learning Approaches." International Journal of Applied Engineering Research.

  • Barathi Ganesh HB, Anand Kumar M and K. P. Soman. "Vector Space Model as Cognitive Space for Text Classification." arXiv. 2017.
  • Vinayakumar R, Barathi Ganesh HB, Anand Kumar M and Soman KP. "Deep Health Care Text Classification". arXiv. 2017.

Publications in International Conferences

  • Barathi Ganesh HB, Anand Kumar M and Soman KP. "Distributional Semantic Representation in Health Care Text Classification." Consumer Health Information Search (CHIS) - Forum for Information Retrieval Evaluation - 2016 . Kolkata.
  • Barathi Ganesh HB, Anand Kumar M and Soman KP. "Conditional Random Fields for Code Mixed Entity Extraction." Code Mixed Entity Extraction - Indian Language (CMEE-IL) - Forum for Information Retrieval Evaluation - 2016 . Kolkata.
  • Barathi Ganesh HB, Anand Kumar M and Soman KP. "Distributional Semantic Representation for Text Classification and Information Extraction." Mixed-Script Information Retrieval (MSIR) - Forum for Information Retrieval Evaluation - 2016 . Kolkata.
  • Barathi Ganesh HB, Reshma U and Anand Kumar M. "Author Identification based on Word Distribution in Word Space." Advances in Computing, Communications, and Informatics (ICACCI). Kochi, Kerala

  • Barathi Ganesh HB, Anand Kumar M and Soman KP. "Statistical Semantics in Context Space: Amrita_CEN@Author Profiling.Conference and Labs of the Evaluation Forum 2016, Evora, Portugal.
  • Barathi Ganesh HB, Anand Kumar M and Soman KP. "Amrita CEN at SemEval-2016 Task 1: Semantics Relation from Word Embeddings in Higher Dimension.SemEval-2016. San Diego, California.
  • Barathi Ganesh HB, Abinaya N, Anand Kumar M, Vinayakumar R and Soman KP. "Amrita-CEN@NEEL: Identification and Linking of Twitter Entities."  #Microposts2015 Making Sense of Microposts: Big things come in small packages. Florence, Italy.

  • Abinaya N, Neethu John, Barathi Ganesh HB, Anand Kumar M and Soman KP. "Amrita_CEN@FIRE2014: Named Entity Recognition for Indian Languages using Rich Features." Forum for Information Retrieval Evaluation. Bangalore, Karnataka.

  • Barathi Ganesh HB, Vinayakumar R, Anand Kumar M, Soman KP. "Health Care Text Classification through Class Embedding." 2nd Social Media Mining for Health Applications Shared Task at AMIA 2017. Washington DC.

  • Barathi Ganesh HB, Reshma U, Anand Kumar M, Soman KP. "Representation of Target Classes for Text Classification.", RusProfiling at FIRE 2017. Bangalore, India.

  • Barathi Ganesh HB, Reshma U, Anand Kumar M, Soman KP. "Distributed Representation in Information Retrieval.", Information Retrieval from Legal Documents at FIRE 2017. Bangalore, India.

Publications in Industry Conferences

  • Barathi Ganesh HB. "Social Media Analysis through Cognitive Semantics - Author Profiling: Life Time Learning Method." TACTICS. Mumbai, Maharashtra.

Workshops - Conferences Coordination and Participation
  • Participated in a two-day workshop on "Shared Task & Workshop on Machine Translation in Indian Languages (MTIL 2017)" 07-09 September 2017, at Amrita Center for Excellence in Computational Engineering and Networking, Coimbatore.
  • Coordinated "International Conference on Emerging Trends in Drug Discovery" 23-27 July 2014, at Amrita Center for Excellence in Computational Engineering and Networking, Coimbatore.
  • Participated in a five-day workshop on "Advanced Signal and Image Processing (ASIP)", June 2014 at Amrita Center for Excellence in Computational Engineering and Networking, Coimbatore.
  • Participated in a four-day workshop on "Advanced Optimization, Deep Learning Applications (AODA)", January 30 – February 2, 2014, at Amrita Center for Excellence in Computational Engineering and Networking, Coimbatore.
  • Participated in a one-day national pre-conference workshop on "Cloud Computing" 22 February 2013, at EASA College of Engineering and Technology, Coimbatore.
  • Participated in a Workshop on"Antenna Design and Analysis using CAD-FEKO", 14-15 September 2012 at Kumaraguru College of Technology, Coimbatore.


Invited Talks and Honors
  • Topic: "A Journey to Text Analytics and Recent Trends in Text Analytics",  TEQIP sponsored Faculty Development Program on "Research Directions in Data and Text Mining", organized by Government Engineering College, Idukki on January 2016.

  • Topic: "Advanced Analytics in Text and Data Mining",  Tata Consultancy Services sponsored Faculty Development Program on "Text and Data Mining" held at Tata Consultancy Services centre, Kochi on April 2016.

  • Topic: "Computation differs, not Optimization",  TEQIP Sponsored Faculty Development Program on "Contemporary Developments in Optimization Techniques and its Applications", organized by TKM College of Engineering, Kollam on May 2016.

  • Topic: ''Web Mining through Data and Text Mining", Association Inauguration "ORBIT 2K16" conducted by Viswa Jyothi College of Engineering and Technology, Vazhakulam on August 2016.
  • Advisory Committee member of International Shared Task “Detecting Paraphrases in Indian Languages (DPIL)”, Conducted as a part of Forum for Information Retrieval and Evaluation – 2016 by Amrita Vishwa Vidyapeetham University.
  • Advisory Committee member of International Shared Task & Workshop on  “Machine Translation system in Indian Languages (MTIL)”, Conducted by Amrita Vishwa Vidyapeetham University.
  • Session Chair member of International Shared Task on  “Indian Native Language Identification (INLI PAN @ FIRE 2017)”, Conducted by the department of Computational Engineering and Networking, Amrita Vishwa Vidyapeetham University.
  • Topic: "Deep learning for Cyber Security", in Deep learning Workshop organized by Amrita Vishwa Vidyapeetham University.


Certifications and Courses
  • "Neural Networks and Deep Learning" acquired from deeplearning.ai through coursera.
  • "Deep Learning Prerequisites: The Numpy Stack in Python" acquired from udemy.
  • "Deep Learning for Natural Language Processing" course instructed by Richard Socher.
  • "Machine Learning Foundation" acquired from "Tata Consultancy Services" through Tata Consultancy Services internal certification program.
  • "Statistics and R" acquired from Harvard through edx.
  • "High-Dimensional Data Analysis" acquired from Harvard through edx.
  • "Data Mining with Weka" acquired from University of Waikato.

  • "Hadoop Fundamentals" acquired from IBM.

  • "Spark Fundamentals" acquired from IBM.

  • "Introduction to R" acquired from DataCamp.

  • "Introduction to Data Analysis using R" acquired from Big Data University.

  • "Introduction to Python" acquired from DataCamp.
Skills and Summary

  • Skills: Machine Learning, Deep Learning, Dimensionality Reductions, Natural Language Processing, Text Mining, Data Mining and Distributed Frame Works.
  • Programming Languages: Python, Matlab, Java, R and Octave.
  • Hands on Experience:
            Python: NLTK, Scikit Learn, Gensim, Nimfa, Pandas,  Rasa NLU,  Tensorflow, Bottle and Django.

            Java: Stanford Core NLP and Mallet.

            Matlab: LibSVM, Matlab NLP-Master, Gurls, Machine Learning and Deep learning.

            R: timeSeries, SVD and other Machine Learning Packages

  • Operating Systems: Linux, Windows.
  • Frame Works: Apache Spark and Apache Hadoop.
  • Documentation Tools: Libreoffice, Microsoft Office and Latex.