Dr.SUGANDHA SAXENA
REVA University, College of Engineering Roorkee (COER), Amity University, Rajasthan Technical University
0000-0001-6960-3203
About
1. Image Analysis and Diagnosis for Deep learning models in image recognition tasks, making them valuable for medical applications.
2. Adequate experience in Image processing, segmentation, classification for object detection and localization in images.
3. Hands on tools like cadence virtuoso both front end and back end, MATLAB latest version 2021(a) with advanced features of deep learning and machine learning toolbox and Synopsys Sentaurus device tool.
4. Relevant course taken in VLSI Physical Design from Entuple Technologies with hands on experience on Cadence Innovus tool.
5. Well versed in the knowledge of subjects like Verilog and system Verilog.
6. Responsible for supervising and proven ability to conduct research, identify trends and implement action plans, project roadmaps and solutions.
7. Excellent English oral communication, writing and presentation skills for writing reports and presentations for local and international committees and clients.
8. Taken relevant courses related to VLSI Design and semiconductor devices such as Analog CMOS Integrated Circuits, Microelectronics, ASIC Design, Lower Power VLSI, Solid state devices etc.
Employment
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REVA University Assistant Professor2015 - Present
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College of Engineering Roorkee (COER) Assistant Professor2013 - 2014
Education
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REVA University PhD2018 - 2024
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Amity University M.Tech2011 - 2013
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Rajasthan Technical University B.Tech2006 - 2010
Projects & Funding
Projects & funding information is unavailable.
Publications (13)
- A Novel Model for Lung Cancer Detection Save
- Design of novel convolution neural network model for lung cancer detection by using sensitivity maps Save
- Enhancing Early Detection of Lung Cancer: Image Processing and Nodule Classification using Sensitivity maps Save
- Remind Me - Multi-paradigm Smart Alarm Clock Save
- Survey on Methods for Identifying and Classifying Lung Nodules using Lung CT Scan Images Save
- Utilizing Deep Learning Techniques to Diagnose Nodules in Lung Computed Tomography (CT) Scan Images Save
- Utilizing Deep Learning Techniques to Diagnose Nodules in Lung Computed Tomography (CT) Scan Images Save
- Assessment of Image Quality Metric by the means of various Preprocessing Filters for Lung CT Scan Images Save
- Assessment of Image Quality Metrics by Means of Various Preprocessing Filters for Lung CT Scan Images Save
- Machine learning based sensitivity analysis for the applications in the prediction and detection of cancer disease Save