Dr. Yashni A/p Gopalakrishnan

Dr. Yashni A/p Gopalakrishnan

Fakulti Kejuruteraan, UMS

My research interest lies at the intersection of green technology, nanotechnology, and photocatalysis, with a strong focus on the development of eco-friendly nanomaterials for environmental applications, particularly in wastewater treatment. Over the past three years, I have been actively involved in research projects centered around green synthesis and photocatalytic applications, working as a Research Assistant.was part of a successful FRGS grant initiative titled "Photocatalysis of Trisiloxane and Pathogenic Bacteria in Greywater using Eco-Friendly Green Nanoparticles (ECO-GNPs) for Safe Disposal", where I contributed to both the proposal development and experimental work. My innovation in eco-friendly ZnO-based nanoparticles has been recognized through national-level awards and a copyright (LY2020000777).Moving forward, I aim to expand my research on sustainable nanomaterials and their integration into advanced photocatalytic systems for large-scale water purification and environmental sustainability.

Contact Information

Academic Department

Fakulti Kejuruteraan

Appointed Department

Fakulti Kejuruteraan

Education

Doktor Falsafah (Ph.d)

Lain-Lain

2021

Research Collaborators

Mahadi Bin Bahari

Mahadi Bin Bahari

1 project

Norfazliana Binti Abdullah

Norfazliana Binti Abdullah

1 project

MOHD SYAHLAN BIN MOHD SYUKRI

1 project

MUHAMMAD NUR AFNAN BIN UDA

1 project

Research

Publications

Total Publications by Year

Total publications by calendar year
Year Publications
2025 2
2026 1

Scopus Metrics

Documents

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H-Index

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Citations

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Institutional

3

Research listing

Completed and ongoing projects

No research projects for this membership role.

Publications listing

Note: publication data for the last 3 years will be displayed

Showing 1 to 1 of 1 entries

1.

MAHADI BIN BAHARI , MUHAMMAD NUR AFNAN BIN UDA , MOHD SYAHLAN BIN MOHD SYUKRI , NORFAZLIANA BINTI ABDULLAH , YASHNI A/P GOPALAKRISHNAN (2026), Integrating nanomaterials and artificial intelligence for the diagnosis of waterborne disease biomarkers: A review