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  Dr. Vinith R

Assistant Professor(Sr Gr), School of Artificial Intelligence, Coimbatore

Qualification: Ph.D
  r_vinith@cb.amrita.edu
Google Scholar Profile
Research Interest: Applied machine learning,Graph Data Analytics, processing data in the form of graphs,applications of deep learning models using graph data and its application in different domains.

Bio Publications Positions Projects  Teaching 
Bio

Dr. Vinith R is currently working as an Assistant Professor(Sr Gr) in the Department of Artificial Intelligence at Amrita Vishwa Vidyapeetham, Coimbatore.

Experience(s)/Qualification(s):

Post-doctoral Experience

  • Post-doctoral Fellow(April 2022 – May 2023)
  • Post Doctoral Fellow at Centre for Internet Studies and Artificial Intelligence CISAI, Amrita Vishwa Vidyapeetham, AmritaPuri, India

PhD (Year): 2018 NIT Calicut 

Publications

Journal Article

Year : 2022

Performance improvement for metro passenger flow forecast using spatio-temporal deep neural network

Cite this Research Publication : Mulerikkal, J., Thandassery, S., Rejathalal, V., Kunnamkody, D. M. D. (2021). Performance improvement for metro passenger flow forecast using spatio-temporal deep neural network. Neural Computing and Applications, 1-12.(Impact Factor : 5.102)

Publisher : SpringerLink

Year : 2021

Passenger flow prediction from AFC data using station memorizing LSTM for metro rail systems

Cite this Research Publication : Sajanraj, T. D., Mulerikkal, J., Raghavendra, S., Vinith, R., Fabera, V. (2021). ”Passenger flow prediction from AFC data using station memorizing LSTM for metro rail systems”, Neural Network World, 31(3), 173. (Impact Factor : 1.48 )

Year : 2021

An Intelligent Data Analytics Platform for Metro Rail Transport Systems

Cite this Research Publication : J. Mulerikkal, S. Thandassery, D. M. D. K, V. Rejathalal and B. Ayyappan, ”JP-DAP: An Intelligent Data Analytics Platform for Metro Rail Transport Systems,” in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2021.3091542.(Impact Factor : 9.551)

Publisher : IEEE

Conference Paper

Year : 2023

Finding Network Motifs: A comparative study between ILP and Symmetric Rank-One NMF

Cite this Research Publication : Aadharsh Aadhithya A, Sachin Kumar S, Vinith R, Sujadevi V G, Prabaharan Poornachandran, and Soman K P, ”Finding Network Motifs: A comparative study between ILP and Symmetric Rank-One NMF”, The International Conference for Intelligent Technologies, 2023

Publisher : IEEE

Year : 2023

Natural Language Processing as an Information Extraction Tool for Materials Science: A Review

Cite this Research Publication : Manjumol Mathew, Sachin Kumar S, Soman K P, Vinith R, Prabhakaran Poornachandran, ”Natural Language Processing as an Information Extraction Tool for Materials Science: A Review”,Proceedings of 2023 IEEE International Conference on Nanoelectronics, Nanophotonics, Nanomaterials, Nanobioscience & Nanotechnology (5NANO2023)

Year : 2022

Exploiting Graph Matrix Duality for Efficient Graph Data Processing

Cite this Research Publication : R Vinith, Aadharsh Aadhithya A, Soman K.P, Prabhaharan Poornachandran, ”Exploiting Graph Matrix Duality for Efficient Graph Data Processing”, Proceedings of the ICRAIE 2022,India, pp. 289-293

Publisher : IEEE

Year : 2016

New Feature Extraction Method for Identification of Affected Regions and Diagnosis of Cognitive Disorders

Cite this Research Publication : R Vinith, K Sarthaj, A Lijiya, V K Govindan, ” New Feature Extraction Method for Identification of Affected Regions and Diagnosis of Cognitive Disorders”, Proceedings of the International Conference on Advances in Computing, Communications and Informatics(ICACCI) 2016,Jaipur,India, pp. 1329-1334

Publisher : IEEE

Positions
  • Current Positions 

Assistant Professor(Sr Gr), 2023, Centre for Computational Engineering and Networking CEN, Amrita School of Artificial Intelligence, Amrita Vishwa Vidyapeetham Coimbatore.

  • Past Positions 

Associate Professor, Department of Computer Science and Engineering, Jyothi College of Engineering, Thrissur May 2018- March 2022

Projects 
  • Sponsored Projects :
    Co-PI of Project titled “Intelligent CPS Data Analytics Platform for a Metro Rail System”
    Year: 2018-21
    Funding agency: DST
    Duration: 3 years
    Amount: 25,00,000
    Status: Finished
Teaching 

Courses taught (Name, Year, UG/PG)

  • Optimization for Data Science (MTech 2023-25 DSC, Amrita School of Artificial Intelligence, AY 2023-24)
  • Design and Analysis of Algorithms (BTech 2021-25, Amrita School of Artificial Intelligence, AY 2022-23)
  • Elements of Computing-1 (BTech 2023-27, Amrita School of Artificial Intelligence, AY 2023-24)

Doctoral advisor (Thesis title, Year) : M S Sreehari (Ongoing)

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