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B. Natarajan

Faculty Associate, Department of Computer Science and Engineering, School of Computing, Chennai

Qualification: BE, M.E
b_natarajan@ch.amrita.edu
Research Interest: Deep Learning, Reinforcement Learning, Machine Learning, Big Data Analytics, Natural Language Processing, Computer Vision

Bio

B. Natarajan currently serves as the Faculty Associate, in the Department of Computer Science and Engineering,  School of Computing, Amrita Vishwa Vidyapeetham, Chennai. He has 8 years of experience in teaching. His areas of interest include Data Analytics, Machine Learning, Deep Learning, Theory of Computation, Java Programming and Python Programming. B. Natarajan has guided various undergraduate and postgraduate projects. He has worked as a Project Assistant for the project entitled “Deep Neural Architecture for Multimodal and Multilingual Sign Language Translation and Recognition” funded by Science and Engineering Research Board, India. He has also organized various workshops for the undergraduate students.

Professional Appointments: 7 years of teaching experience in reputed engineering college.

Publications

Journal Article

Year : 2023

Creating Alert messages based on Wild Animal Activity Detection using Hybrid Deep Neural Networks

Cite this Research Publication : B., Natarajan, R., Elakkiya, Bhuvaneswari, R, Saleem, Kashif, Chaudhary, Dharminder, Samsudeen, Syed, "Creating Alert messages based on Wild Animal Activity Detection using Hybrid Deep Neural Networks", IEEE Access, PP(99):1-1, DOI:10.1109/ACCESS.2023.3289586, 2023

Publisher : IEEE Access

Year : 2022

Deep SLRT: The Development of Deep Learning BasedMultilingual and Multimodal Sign Language Recognition and TranslationFramework

Cite this Research Publication : B. Natarajan, “Deep SLRT: The Development of Deep Learning BasedMultilingual and Multimodal Sign Language Recognition and TranslationFramework”, Bentham books – Deep Learning: Theory, Architectures, and Applications in Speech, Image and Language. (Accepted for publication) (2022)

Publisher : Bentham books – Deep Learning: Theory, Architectures, and Applications in Speech, Image and Language

Year : 2022

Development of an end-to-end deep learning framework for Sign Language Recognition, Translation and Video Generation

Cite this Research Publication : B. Natarajan, Development of an end-to-end deep learning framework for Sign Language Recognition, Translation and Video Generation” in The ACM Transactions on Asian and Low-Resource Language Information Processing. (under review) (2022)

Publisher : The ACM Transactions on Asian and Low-Resource Language Information Processing

Year : 2022

VidGenGAN: Deep Transfer Learning Based Generative Adversarial Networks for Health Monitoring of Deaf-mute people Using Sign Gestures

Cite this Research Publication : B. Natarajan, “VidGenGAN: Deep Transfer Learning Based Generative Adversarial Networks for
Health Monitoring of Deaf-mute people Using Sign Gestures” in IEEE/ACM Transactions on Computational Biology and Bioinformatics.(under review) 2022

Publisher : IEEE/ACM Transactions on Computational Biology and Bioinformatics

Year : 2022

Dynamic GAN for High-Quality Sign Language Video Generation from Skeletal poses using Generative Adversarial Networks

Cite this Research Publication : B. Natarajan, Elakkiya R., “Dynamic GAN for High-Quality Sign Language Video Generation from Skeletal poses using Generative Adversarial Networks” in Soft Computing. (Accepted for publication) 2022

Publisher : Soft Computing

Year : 2022

Sentence2SignGesture: A Hybrid Neural Machine Translation Network for Sign Language Video Generation

Cite this Research Publication : B. Natarajan, R. Elakkiya, Moturi Leela Prasad, “Sentence2SignGesture: A Hybrid Neural Machine Translation Network for Sign Language Video Generation” in Journal of Ambient Intelligence and Humanized Computing (2022)

Publisher : Journal of Ambient Intelligence and Humanized Computing

Year : 2021

An Android-Based Water Quality Monitoring System and Alerting Through SMS

Cite this Research Publication : B. Natarajan, "An Android-Based Water Quality Monitoring System and Alerting Through SMS" in Turkish Online Journal of Qualitative Inquiry (TOJQI), Volume 12, Number 3 (2021)

Publisher : Turkish Online Journal of Qualitative Inquiry (TOJQI)

Year : 2021

ISL-CSLTR: Indian Sign Language Dataset for Continuous Sign Language Translation and Recognition

Cite this Research Publication : B. Natarajan, “ISL-CSLTR: Indian Sign Language Dataset for Continuous Sign Language Translation and Recognition” in Mendeley Data (2021)

Publisher : Mendeley Data

Year : 2018

Comfort Ride for the Commuters using Shared Public Transport System

Cite this Research Publication : B. Natarajan, “Comfort Ride for the Commuters using Shared Public Transport System” in International Journal of Advance Research and Innovation Ideas in Education (IJARIIE) (2018)

Publisher : International Journal of Advance Research and Innovation Ideas in Education (IJARIIE)

Year : 2017

Sentiment Analysis using a Supervised Joint Topic Modelling Approach

Cite this Research Publication : B. Natarajan, “Sentiment Analysis using a Supervised Joint Topic Modelling Approach” in International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE)., Volume 8, Issue 7 (2017)

Publisher : International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE)

Conference Paper

Year : 2023

A Novel Approach for Detection and Classification of Fish Species

Cite this Research Publication : B. Natarajan, "A Novel Approach for Detection and Classification of Fish Species" in ICEEICT 2023, K.Ramakrishnan College of Engineering, Trichy, 2023.

Year : 2023

Potato Plant Leaf Diseases Detection and Identification Using Convolutional Neural Networks

Cite this Research Publication : B. Natarajan, "Potato Plant Leaf Diseases Detection and Identification Using Convolutional Neural Networks," in International Conference on Artificial Intelligence, Blockchain, Computing and Security at Galgotias University, Uttar Pradesh. 2023.

Year : 2023

An Efficient Approach to Detect Diabetes using XGBoost Classifier

Cite this Research Publication : K. Laxmikant, R. Bhuvaneswari and B. Natarajan, "An Efficient Approach to Detect Diabetes using XGBoost Classifier," 2023 Winter Summit on Smart Computing and Networks (WiSSCoN), Chennai, India, 2023, pp. 1-8, doi: 10.1109/WiSSCoN56857.2023.10133854.

Publisher : IEEE

Year : 2021

An Approach of Statement Compression Using Classifier Algorithm with Improved Efficiency in Second

Cite this Research Publication : Deepak , V. Sharmila, B. Natarajan, Shanker Shalini, Karthikeyan C, "An Approach of Statement Compression Using Classifier Algorithm with Improved Efficiency" in Second International Conference on Electronics and Sustainable Communication Systems (2021) , DOI: 10.1109/ICESC51422.2021.9532679

Publisher : International Conference on Electronics and Sustainable Communication Systems

Year : 2015

Enhanced K-Means++ Clustering For Big Data with Map reduce

Cite this Research Publication : B. Natarajan, "“Enhanced K-Means++ Clustering For Big Data with Map reduce ” in International Journal of Advance Research and Innovation (IJARI) (2015)

Publisher : International Journal of Advance Research and Innovation (IJARI)

Education
Degree Specialization Year of Graduation Institution
Ph. D. (Pursuing) Deep Learning SASTRA Deemed University
 M.E  Computer Science and Engineering  2015  J.J College of Engineering and Technology
 B. E  Computer Science and Engineering  2011  Roever Engineering College
Certifications
  • NPTEL Certification on “Programming, Data Structures and Algorithms using Python”.
  • NPTEL Certification on “Programming in C++”.
  • NPTEL Certification on “Programming in JAVA”.
  • NPTEL Certification on “Cloud Computing”.
  • NPTEL Certification on “Introduction to Machine Learning”.
  • ORACLE academy certification on “JAVA Programming”.
Invited Talks

Keynote Addresses/ Invited Talks/ Panel Memberships

  • Delivered a guest lecture on “Cryptography and Network Security” at K. Ramakrishnan College of Engineering, Samayapuram, Trichy.
Courses Taught
  • Reinforcement Learning
  • Machine Learning
  • Cryptography and Network Security
  • Artificial Intelligence and Neural Networks
  • Theory of Computation
  • Software Engineering
  • Software Project Management
  • Graph Theory
  • Fundamentals of Computer Programming
  • Data Structures
  • Object Oriented Programming
  • Mobile Computing
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