About Me

Academic Qualifications

Working Experiences

Courses Taught

1. CCSB4122 - Information Security Management
2. CISB3112 - Ethics and IT Professional Practices
3. CSEB3213 - Data Structures and Algorithms
4. CSEB324 - Data Structure and Algorithm
5. CSEB4213 - Software Project Management
6. CSNB344 - Data Structure & Algorithms with STL

Professional Bodies

1. MALAYSIA BOARD OF TECHNOLOGISTS: Normal Member- 2024

Research Projects

Publications

1. Neesha A/p Jothi; Stacking Ensemble For Pill Image Classification; International Conference On Forthcoming Networks And Sustainability In The Aiot Era; ; 26 Jun 2024; Conference Proceeding; SCOPUS
2. Neesha A/p Jothi; International Conference On Forthcoming Networks And Sustainability In The Aiot Era; International Conference On Forthcoming Networks And Sustainability In The Aiot Era; ; 26 Jun 2024; Conference Proceeding; SCOPUS
3. Neesha A/p Jothi, Nazirul Nazrin Bin Shahrol Nidzam, Halimah Badioze Zaman; Atomic Structure Simulation And Properties’ Prediction Using Machine Learning On Neodymium Oxide Nanoparticles Zinc Tellurite Glasses Aided By Ftir And Tem Analysis; International Journal On Informatics Visualization; Volume :8, Issue No :3, Article ID :10.62527/joiv.8.3.3097, Page Start :1476, Page End :1486, ISSN :25499904; 12 Dec 2024; Journal; SCOPUS
4. Neesha A/p Jothi, Nazirul Nazrin Bin Shahrol Nidzam, Halimah Badioze Zaman; Enhanced Photoluminescence And Optical Properties Of Erbium-Doped ZincTellurite Glasses For Visible And Near-Infrared Photonic Applications; Journal Of Luminescence; Volume :281, Issue No :121184, Article ID :https://doi.org/10.1016/j.jlumin.2025.121184, Page Start :1, Page End :11, ISSN :0022-2313; 12 Mar 2025; Journal; ISI
5. Neesha A/p Jothi, Nazirul Nazrin Bin Shahrol Nidzam, Nazirul Nazrin Bin Shahrol Nidzam, Nazirul Nazrin Bin Shahrol Nidzam, Nazirul Nazrin Bin Shahrol Nidzam, Halimah Badioze Zaman; Deepforgery Images Detection Using Deep Learning ApproachesAnd Error Level Analysis; International Journal Of Informatics Visualization; Volume :9, Issue No :2, Article ID :10.62527/joiv.9.2.3504, Page Start :528, Page End :533, ISSN :2549-9904; 31 Mar 2025; Journal; SCOPUS
6. Neesha A/p Jothi, Halimah Badioze Zaman, Nazirul Nazrin Bin Shahrol Nidzam, CAMELLIA DOROODY, CAMELLIA DOROODY; Machine Learning-Driven Prediction Of Optical And Physical Properties In Lanthanum And Gold-Doped Zinc Borotellurite Glasses For Optoelectronic Applications; Ceramics International; Volume :51, Issue No :20, Article ID :https://doi.org/10.1016/j.ceramint.2025.04.231, Page Start :30370, Page End :30383, ISSN :0272-8842; 01 Aug 2025; Journal; ISI
7. Neesha A/p Jothi, Ammuthavali A/p Ramasamy; Predicting Occupancy-Based Hvac ControlSystems In Operations Buildings Using MachineLearning Method; 2025 Ieee International Conference On Computing (Icoco 2025); Volume :TBD, Issue No :TBD, Article ID :TBD, Page Start :TBD, Page End :TBD, ISSN :TBD; 10 Dec 2025; Conference Proceeding; SCOPUS