• Shantipriya Parida

    ଶାନ୍ତିପ୍ରିୟ ପରିଡା

  • About Me

    Recently I have joined Idiap Research Institute, Martigny, Switzerland as a Postdoctoral Researcher. Before this, I was doing my research on Neural Machine Translation, NLP, Deep Learning under the supervision of Dr. Ondřej Bojar at Institute of Formal and Applied Linguistics, Charles University in Prague. I have expertise in machine learning, AI, computational neuroscience, product development, system/solution architect.



    I am from the beautiful town Umerkote, in the district of Nabarangpur, state Odisha, an eastern Indian state. I spent most part of my life in these cities: Bhubaneswar, the capital of state Odisha and Bangalore, the IT capital of India.



    My family includes my father Mr. Bijay Kumar Parida (retired central govt service, spent most of the time in social service for the disabled persons), my mother late Mrs. Charulata Parida (was a loving and kind mother and the reason I'am where I am today. recently lost her, worst pain in my life), my dear wife Mrs. Manaswini Mohapatra and my sweet and cute daughter Miss. Aishani Parida (Renee). I have two brothers Mr. Satyabrata Parida, Mr. Dharmaraj Parida and sister Mrs. Reena Parida. Also, I have many lovely and sweet cousin brothers/sisters, uncles, and aunties. Although we are based far from each other and placed in different countries, still in touch (thanks to technology, FB, WhatsApp :-)



    Like to travel, explore new places (historical places fascinates me.), enjoy listening music, watching movies, try cooking, writing. Always wanted to do something for preserving nature and volunteer for animal welfare.

  • “May all beings everywhere be happy and free, and may the thoughts, words, and actions of my own life contribute in some way to that happiness and to that freedom for all.”


    Postdoctoral Researcher 

    Idiap Research Institute, Martigny, Switzerland

    Feb 2019 – ...

    NLP, Deep Learning, Text Summarization

  • Education 

    Charles University

    Faculty of Mathematics & Physics

    Institute of Formal and Applied Linguistics


    Postdoc (01.2018-01.2019)

    Neural Machine Translation, Natural Language Processing, Deep Learning.


    Supervisor : Dr. Ondřej Bojar

    Utkal University


    Ph.D. Computer Science




    under the guidance of Dr. Satchidananda Dehuri, Reader F. M. University, Balasore, Odisha, INDIA.

    Utkal University


    Master of Technology (First Class with Honors) in Computer Science




    completed from Machine Intelligence Unit, Indian Statistical Institute (ISI, Kolkata) under the guidance of Prof. Ashish Ghosh.

    Utkal University


    Master of Computer Application (First Class)


    PROJECT TITLE : “Developing a Software for Estimating Cumulative Fatigue Damage Using Rainflow Cycle Count ”


    completed from National Aerospace Lab, Bangalore, India under the guidance of Prof. Basant Kumar Parida.

    Utkal University

    Bachelor of Science (BSc)


    Physics, Chemistry and Mathematics

  • Experiences

    Professional Experience

    Huawei Technologies India Pvt. Ltd.

    June 2007-Jan 2017

    System Architect

    • Understanding customer requirements, designing IPTV/Mobile broadband solution.
    • Participating in Bidding/PostBid phase, conducting customer workshop, CTO level presentation.
    • Industry trend analysis, competitor analysis, white paper preparation and publication.


    Torry Harris Business Solution

    May 2005 to July 2007

    • Team leader for development and L3 support team for a Telecom Fraud Management Product owned by a UK based Telecom Operator.
    • Development using UNIX, C++, Shell Scripting, AWK/SED.

    ANZ Information Technology

    Oct 2004 to Apr 2005

    Developing banking solution using UNIX, C++.

  • Skills

    Skill Set

    Research Interest

    • Neural Machine Translation
    • Deep Learning
    • Computational Neuroscience
    • Artificial Intelligence
    • Machine Learning


    • Journal of Integrative Neuroscience
    • Journal of Central South University,
    • Artificial Intelligence in Medicine
    • The world journal of Biological Psychiatry
    • IEEE Access

    System/Solution Architect

    • Designing IPTV/OTT/MBB solution
    • Participating in Bidding/PostBid phase, conducting customer workshop, CTO level presentation.
    • Industry trend analysis, competitor analysis, white paper preparation, publishing in journal.  

    Software Design/Development

    • Unix, C, C++, OOAD, UML (Unified Modeling Language), Shell script, AWK, SED,Python, Oracle,Big Data, Deep Learning, Tensorflow, NLP, Neural Machine Translation
    • Team Lead, Support Lead, low level design (telecom fraud management solution, NMS)



    TM Forum Certified



    • IEEE
    • EAMT
    • IACSIT
    • OITS


    • “Intelligent System Programming” from Proficience, Indian Institute of Science (IISc, Bangalore)
    • “Project Management and Communication” from Proficience, Indian Institute of Science (IISc, Bangalore) 

    Honors & Award

    • Best SA Support Award
    • Best Bid Support Award
    • PDU Gold Medal Award for Best Design Specification
    • Spot Award
  • Publication

    Research Paper Publication List (Conference and Journal)


    • S. Parida, O. Bojar, S. Dash. "Hindi Visual Genome: A Dataset for English-to-Hindi Machine Translation". CICLing 2019 (In Print). Co-organizer of multimodal machine translation shared task: http://lotus.kuee.kyoto-u.ac.jp/WAT/WAT2019/index.html
    • S. Parida, O. Bojar, S. Dash. "OdiEnCorp: Odia-English and Odia-Only Corpus for Machine Translation". In Proceedings of the Third International Conference on Smart Computing & Informatics (SCI) 2018, Springer SIST series (In Print)
    • T. Kocmi, S. Parida,  O.Bojar. "CUNI NMT System for WAT 2018 Translation Tasks". In Proceedings of the 5th Workshop on Asian Translation (WAT2018), Hong Kong, China, December. Demo English-to-Hindi Translation URL Based on WAT 2018 Model: https://lindat.mff.cuni.cz/services/transformer/
    • S. Parida, O. Bojar. “Translating Short Segments with NMT: A Case Study in English-to-Hindi”. In Proceedings of the 21st Annual Conference of the European Association for Machine Translation, p. 229–238 Alacant, Spain, May 2018.
    • S. Parida, S. Dehuri & S.-B. Cho. “Neuro-Fuzzy Ensembler for Cognitive States Classification”, Advance Computing Conference (IACC 2014), pp. 1243-1247, IEEE, 2014.
    • S. Parida, S. Dehuri & S.-B. Cho.” Application of Genetic Algorithms and Gaussian Bayesian Approach in Pipeline for Cognitive State Classification”, Advance Computing Conference (IACC 2014), pp. 1237-1242, IEEE, 2014.
    • S.Parida & S. Dehuri. “A Review of Hybrid Techniques based on Machine Learning Approach in Cognitive Classification”, Soft Computing for Problem Solving (SocPros 2012), Springer AISC, vol. 236, pp. 659-666, 2014.
    • S. Parida, S. Dehuri & G.-N. Wang. “Genetic Algorithms Based Feature Selection for Cognitive State Classification Using Ensemble of Decision Trees”, In Proceedings of the International Conference on Vibration Problems (ICOVP 2013), pp. 1-10, 2013.
    • S. Parida & S. Dehuri. “A Study of Feature Selection Techniques for fMRI based  State Classification”, Advancements in the Era of Multi-Disciplinary Systems(AEMDS 2013), pp. 500-507, Elsevier, 2013.


    • L. A. Cacha, S. Parida, S. Dehuri, S. B. Cho, & R. R. Poznanski, A fuzzy integral method based on the ensemble of neural networks to analyze fMRI data for cognitive state classification across multiple subjectsJournal of integrative neuroscience15(04), 593-606, 2016.
    • S. Parida, S. Dehuri & S.-B. Cho. “Machine Learning Approaches for Cognitive State Classification and Brain Activity Prediction: A Survey”, Current Bioinformatics, Bentham Science Publishers, vol. 10, pp. 344- 359, 2015.
    • S. Parida, S. Dehuri, S.-B. Cho, L. A. Cacha, & R. R. Poznanski. “A Hybrid Method for Classifying Cognitive States from fMRI data”, Journal of Integrative Neuroscience, World Scientific, vol. 14, pp. 355-368, 2015.
    • S. Parida & S. Dehuri. “Review of fMRI Data Analysis: A Special Focus on Classification”, International Journal of E-Health and Medical Communications (IJEHMC), IGI Global, vol. 5, pp. 1-26, 2014.
    • S. Parida & S. Dehuri. “Applying Machine Learning Techniques for Cognitive State Classification”, International Journal of Computer Applications (IJCA), pp. 40-45, 2013.
    • Gupta, R, & S. Parida. “Challenges and Opportunities: Mobile Broadband”, International Journal of Future Computer and Communication, vol. 2, no. 6, pp. 660, IACSIT Press, 2013.


    OdiEnCorp 1.0 (Odia-English parallel and Odia monolingual corpus)


    The released corpus is available freely for non-commercial research purpose at below link:



    Invited Talk/Presentation

    • Delivered a knowledge sharing presentation on "Machine Translation using Deep Learning and Python: A Case Study for Indian languages Hindi and Odia" during the two-day workshop on Python Programming and Internet of Things(WPPIoT) at KIIT University, Bhubaneswar, India






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  • Visited Countries

    India, Bangladesh, China, Cambodia, Indonesia, Philippines, UAE, Czech Republic, Spain, Austria, Switzerland.


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