Deekshitha Dasaramoole Prakash

A well-seasoned AI researcher with over 3 years of expertise in artificial intelligence R&D. Demonstrated ability to enhance machine learning processes, address data set challenges, and increase predictive automation capabilities in software. Proficient with deep learning frameworks, problem-solving skills, project management, and fostering collaborative relationships.

SCIE/ International Journals

• Texture, Morphology, and Statistical Analysis to Differentiate Primary Brain Tumors on Two-Dimensional Magnetic Resonance Imaging Scans Using Artificial Intelligence Techniques, in Healthcare Informatics Research in 2022.
• Diagnosing Alzheimer's Disease based on Multiclass MRI Scans using Transfer Learning Techniques, in Current Medical Imaging (CMI) in 2021.
• A Comparative Study of Alzheimer's Disease Classification using Multiple Transfer Learning Models, in Journal of Multimedia Information System (JMIS) in 2019.
• An Efficient Lightweight CNN and Ensemble Machine Learning Classification of Prostate Tissue Using Multilevel Feature Analysis, in Applied Sciences in 2020.
• A Paradigm Shift in Nuclear Chromatic Interpretation: From Qualitative Intuitive Recognition to quantitative Texture Analysis of Breast Cancer Cell Nuclei, in Cytometry Part A in 2020.
• Convolutional Neural Network based MR Image Analysis for the Alzheimer's Disease Classification, in Current Medical Imaging (CMI) in 2019.
• Quantitative Analysis of Benign and Malignant Tumors in Histopathology: Predicting Prostate Cancer Grading Using SVM, in Applied Sciences in 2019.




Domestic Journals

• Multichannel Convolution Neural Network Classification for the Detection of Histogical Pattern in Prostate Biopsy Image, in Journal of Korea Multimedia Society in 2020.
• A Study on Deep Learning Binary Classification of Prostate Pathological Images Using Multiple Image Enhancement Techniques, in the Journal of Korea Multimedia Society in 2020.
• Analysis of Texture Features and Classifications for the Accurate Diagnosis of Prostate Cancer, in the Journal of Korea Multimedia Society in 2019.




Personal Projects

• Check out my GitHub page for all my projects, such as Snapchat-like filters, Twitter Sentiment Analysis, Generating AI art, Autonomous Driving - Detection of cars, people and other objects.

• Completed 30 hours of IEL (Individual Effectiveness Lab) and 30 hours of OEL (Organizational Effectiveness Lab) soft skill development program I-POINT consultancy services
• Applied AI with DeepLearning - Coursera (IBM)
• Data Science Internship on "Purchasing Capabilities of a Customer."iNeuron
• Won best paper award for a conference article “Analysis of Bilateral and Box-matching 3D Filtering Techniques using Histopathological Images” in 2020 Korea Multimedia Society (KMMS)
• Won best paper award for a conference paper entitled “Classification of Alzheimer's Disease based on Transfer Learning using 2D MRI Scans” in 2019 Korea Institute of Science and Technology Information (KISTI)