Sabarunisha Begum S
PSR Engineering College, Sethu Institute of Technology, Niyyat Computational Services
0000-0002-8954-6004
About
18 Years of Professional Experience:
Teaching, Research, Curriculum Development, Academic Accreditation Systems and Program Administration
Teaching and Curriculum Development:
Experience in teaching and curriculum development of Bachelor and Master Programme in Chemical and Biotechnology
Research and Innovations:
Published more than 25 research articles in reputed international journals and a Book titled ‘Nanotechnology’
Successfully completed two international funded projects
Supervising two PhD students
Proficient in Academic Systems:
Experienced in the process of accreditation with NBA and NAAC system
Administration:
6 years of experience as PG Biotechnology Programme Head and 2 years of experience as Professor and Head of Chemical Engineering Department
Industrial projects:
Completed industrial projects on Analyzing the CFD problems on expansion chamber for laminar and turbulent flow mechanisms’ and ‘Modeling of multi phase flow reactors and simulate the fluid flow in storage tanks with multiphase fluid systems’
Employment
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PSR Engineering College Professor and Head2022 - Present
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Sethu Institute of Technology Professor2019 - 2021
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Niyyat Computational Services Entrepreneur2016 - 2019
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Rajalakshmi Engineering College Associate Proffessor2007 - 2016
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Periyar Maniammai College of Technology for Women (Now as Periyar Maniammai University) Lecturer2002 - 2007
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (32)
- Receptive field block–enhanced 2D super-resolution network for precise brain surgical image reconstruction Save
- A hybrid random forest–LSTM framework for breast cancer diagnosis using cytological features Save
- COMPREHENSIVE BONE STRUCTURE SEGMENTATION AND 3D RECONSTRUCTION FROM MRI WITH MASK R-CNN Save
- Investigation of customized total knee implant with articular cartilage under loading conditions using finite element analysis Save
- Optimization Driven Variational Autoencoder GAN for Artifact Reduction in EEG Signals for Improved Neurological Disorder and Disability Assessment Save
- LSTM-based prediction of cognitive impairment and cerebral perfusion in type 2 diabetes using multimodal data for surgical risk assessment Save
- Advanced landslide susceptibility mapping and analysis of driving mechanisms using ensemble machine learning models Save
- Automated System for Identifying Marine Floating Plastics to Enhance Sustainability in Coastal Environments Through Sentinel-2 Imagery and Machine Learning Models Save
- Plastic debris detection along coastal waters using Sentinel-2 satellite data and machine learning techniques Save
- A Prediction of Heart Disease using IoT based ThingSpeak Basis and Deep Learning Method Save