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Dr. Eldho Varghese

Role : Senior Scientist
   +91 484 2394357/202
   eldho.varghese@icar.gov.in

Focus of Research :

  • Estimation of marine fish landings in India
  • Methods/tools/ models for fish stock assessment
  • Statistical designs for product and process optimization
  • Statistical modelling in fisheries
  • Application of deep learning models/algorithms in marine fisheries
 

Background :

Started the career as scientist (ARS) in the division of Design of Experiments at ICAR-Indian Agricultural Statistics Research Institute, New Delhi in the year 2010. Later joined ICAR-CMFRI, Kochi in the year 2017. Worked in both basic and applied areas of statistics, especially in Design of Experiments, Statistical/ Ecosystem Modelling and Statistical/ computational tools for data analysis. Presently working in Fishery Resources Assessment, Economics and Extension Division of ICAR-CMFRI, focusing mainly on monitoring and assessment of marine fish landings along the Indian coastline.

 

Education :

  • MCA (Computer Applications): 2021, Indira Gandhi National Open University, New Delhi
  • PhD (Agricultural Statistics): 2011, Indian Agricultural Research Institute (IARI), New Delhi
  • MSc (Agricultural Statistics): 2006, Kerala Agricultural University, Thrissur
  • BSc (Mathematics): 2003, St. Thomas College, Thrissur.

Current Research Projects :

NoTitle
1Geo-referenced Marine Fisheries Resources Information System for Indian EEZ based on Enhanced Survey Protocols and Methodological Platforms for Stock Assessment, Modelling and Forecasting
2Automated System for Marine Fishery Resources Landing Data Collection via Computer Vision and AI-Driven Deep Learning Algorithms for Species Identification and Quantification from Visual Images
3Science for Sustainability: Developing an Integrated Assessment Framework (IAF) to inform management decisions for marine fisheries of Andhra Pradesh.
4Science for Sustainability: Developing an Integrated Assessment Framework (IAF) to inform management decisions for marine fisheries of Tamil Nadu and Puducherry

Awards & Recognitions :

  • Elected member of the International Statistical Institute (ISI), The Netherlands
  • INSA Visiting Scientist at IITB, Mumbai during year 2023-24.
  • NAAS Associateship-2023 of National Academy of Agricultural Sciences (NAAS), New Delhi, India
  • Lal Bahadur Shastri Outstanding Young Scientist Award - 2017 of ICAR, New Delhi, India in Social Sciences.
  • NAAS Young Scientist Award, National Academy of Agricultural Sciences, New Delhi, India in Social Sciences for the biennium 2017-18
  • IARI merit medal, Indian Agricultural Research Institute (IARI), New Delhi, India for outstanding research work during the Ph.D.
  • Honorary Joint Secretary (2020-2023) of the prestigious Indian Society of Agricultural Statistics, New Delhi, India (constituted in 1947)
  • Associate Editor (Section: Design of experiments), Model Assisted Statistics and Applications.
Publications:

Eprints@CMFRI

 
    Best 5 Publications :
    • Jayasankar, Eldho Varghese, A. Gopalakrishnan, E. Vivekanandan, U. Ganga, Prathibha Rohit, V. Sreepriya and Judith Das (2024). Quantitative fishery assessment in tropical waters: Stock dynamics and strategy options, Indian J. Fish., 71 (1), 163-173, 2024
    • Sathianandan, T. V., Mohamed, K. S., Jayasankar, J., Kuriakose, S., Mini, K. G., Varghese, Eldho, Zacharia, P. U., Kaladharan, P., Najmudeen, T.M., Koya, M. K., Sasikumar, G., Bharti, V., Rohit, P., Maheswarudu, G., Sindhu, K. A., Sreepriya, V., Alphonsa, J., and Deepthi, A. (2021). Status of Indian marine fish stocks: modelling stock biomass dynamics in multigear fisheries. ICES Journal of Marine Science, 78 (5), 1744–1757.
    • Hemavathi, M., Shekhar, Shashi, Varghese*, Eldho, Jaggi, Seema, Sinha, Bikas and Mandal, N.K. (2022). Theoretical developments in response surface designs: an informative review and further thoughts. Communications in Statistics - Theory and Methods, 51(7), 2009-2033. 
    • Kumar, J., Jaggi, S., Varghese, Eldho*, Bhowmik, A. and Varghese, C., (2020). First order rotatable designs incorporating differential neighbour effects from experimental units up to distance 2. Metrika, 83, 923–935.
    • Jaggi, S., Sarkar, Kader Ali, Bhowmik, Arpan, Varghese, Eldho, Varghese*, Cini, Datta, Anindita (2023) Trend resistant balanced bipartite block designs. Statistical Methods & Applications, 32, 211–235.

     

 
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