Dayan Perera Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
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Biography and Research Information
OverviewAI-generated summary
Dayan Perera's research spans multiple disciplines, with recent work focusing on aquaculture, plant cultivation, and computational analysis. He has investigated the effects of genetic modification on channel catfish growth and the characterization of ovarian tissue cells in black and white crappie. His work also extends to aquaponics, examining the impact of different production methods on okra growth and mineral composition when integrated with Nile tilapia. In the computational realm, Perera has explored the use of user sentiments and quantitative data for cryptocurrency price prediction and developed a novel loss function for longitudinal multiple sclerosis lesion segmentation. His scholarly contributions are reflected in an h-index of 14 with 29 publications and 546 citations.
Metrics
- h-index: 14
- Publications: 29
- Citations: 546
Selected Publications
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Effects of Production Method (Flooded Media Bed or Floating Rafts) on Growth, Production, and Mineral Composition of Okra (Abelmoschus esculentus) Grown in a Coupled Aquaponic System with Nile Tilapia (Oreochromis niloticus) (2026)
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Identification and Characterization of Germ Cell Genes Vasa and Nanos-2 in the Ovary and Testis of White Crappie (Pomoxis annularis) and the Ovary of Black Crappie (P. nigromaculatus) (2024)
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Isolation, in vitro culture, and characterization of black crappie, <i>Pomoxis nigromaculatus</i> and white crappie, <i>P. annularis</i> ovarian tissue primary cells (2023)
Collaboration Network
Top Collaborators
- Cryptocurrency Analysis: Price Prediction of Cryptocurrency Using User Sentiments and Quantitative Data
- Cryptocurrency Analysis: Price Prediction of Cryptocurrency Using User Sentiments and Quantitative Data
- Cryptocurrency Analysis: Price Prediction of Cryptocurrency Using User Sentiments and Quantitative Data
- HyTver: A Novel Loss Function for Longitudinal Multiple Sclerosis Lesion Segmentation
- HyTver: A Novel Loss Function for Longitudinal Multiple Sclerosis Lesion Segmentation
- Effects of Production Method (Flooded Media Bed or Floating Rafts) on Growth, Production, and Mineral Composition of Okra (Abelmoschus esculentus) Grown in a Coupled Aquaponic System with Nile Tilapia (Oreochromis niloticus)
- Effects of Production Method (Flooded Media Bed or Floating Rafts) on Growth, Production, and Mineral Composition of Okra (Abelmoschus esculentus) Grown in a Coupled Aquaponic System with Nile Tilapia (Oreochromis niloticus)
- Effects of Production Method (Flooded Media Bed or Floating Rafts) on Growth, Production, and Mineral Composition of Okra (Abelmoschus esculentus) Grown in a Coupled Aquaponic System with Nile Tilapia (Oreochromis niloticus)
- Effects of Production Method (Flooded Media Bed or Floating Rafts) on Growth, Production, and Mineral Composition of Okra (Abelmoschus esculentus) Grown in a Coupled Aquaponic System with Nile Tilapia (Oreochromis niloticus)
- Effects of Production Method (Flooded Media Bed or Floating Rafts) on Growth, Production, and Mineral Composition of Okra (Abelmoschus esculentus) Grown in a Coupled Aquaponic System with Nile Tilapia (Oreochromis niloticus)