0000-0002-2785-0668 About
Nisha Joseph is an accomplished and versatile Computer Engineer with a PhD in Computer Science Engineering having almost two decades of experience in academia including teaching, research, and industry. Currently, she is a faculty in Computer Science Engineering at Saintgits College of Engineering affiliated to APJ Abdul Kalam Technological University. Nisha is an enterprising and trustworthy academic leader with excellent relationship management skills who has effectively contributed to achieving institutional goals, enhancing organizational processes through initiatives geared towards lowering risk, heightening productivity and improving internal controls, with analytical bent of mind. Moreover, she has a proven track record of stamping success in uncertainties and challenges across teaching, research, dissertation supervision, mentoring, and as chief examiner University board exams and Research Project Coordinator. She is an active member of college-level curriculum committee for the Quality Audit of National Board of Accreditation, and coding club coordinator at institution level. Her research is focused on Medical Imaging thrusting Brain Tumors. Her areas of interests include digital image processing, artificial intelligence and machine learning. She holds Bachelors in Computer Engineering (BTech), Masters (MTech) in Computers and Information technology and a Doctorate (PhD) in Computer Science Engineering. Furthermore, she has several International Patent grants and high indexed research publications in double blind peer reviewed international journals of repute. She is an expert reviewer for Taylor and Francis journal and an active member of British Computer society, Association for Computer Machinery(ACM) and IE (Institution of Engineers).
Employment
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Saintgits College of Engineering Assistant Professor2003 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (7)
- Study on Evaluation of Machine Learning Approaches in Brain Tumor MR Images Save
- The Role of Educational Technologies in CSR Perception of Tourism Education: The Comparative Analysis of E-Learning and M-Learning Tools as Moderators Save
- A Novel Efficient Deep Feature Extractor and Classifier Approach for Brain Tumor Segmentation in Magnetic Resonant Images Save
- Patient Specific Brain Tumor Segmentation using Context Sensitive Feature Extraction in MR Images Save
- Segmentation and Calculation of Volume of Tumor on MRI using Efficient Feature Extraction Techniques Save
- Adaptive multi-threshold based de-noising filter for medical image applications Save
- Performance study on brain tumor segmentation techniques Save