Silpaja Chandrasekar

Silpaja Chandrasekar

Ph.D. in Computer Science

Computer Science, Medical Image Analysis, Cancer Cell Detection

Dr. Silpaja Chandrasekar has a Ph.D. in Computer Science from Anna University, Chennai. Her research expertise lies in analyzing traffic parameters under challenging environmental conditions. Additionally, she has gained valuable exposure to diverse research areas, such as detection, tracking, classification, medical image analysis, cancer cell detection, chemistry, and Hamiltonian walks.

Dr. Silpaja commenced her career as a Programmer Analyst Trainee at CTS (Cognizant Technology Solutions). Later, she ventured into research and served as a Research Associate in the Department of Chemistry at IIT (Indian Institute of Technology) Madras. Her passion for research led her to become a full-time research scholar in the field. Additionally, Silpaja embraced the joy of teaching as an Assistant Professor at Sri Venkateswara College of Engineering, Chennai.

Silpaja’s research experience has honed her skills in writing manuscripts, news articles, and reviews. Moreover, she has actively participated as a peer reviewer for many journals. After taking a break to raise her two daughters, Silpaja is now eager to re-immerse herself in the realms of learning, research, and writing. She finds joy in cooking and spending quality time with her daughters. At present, she is a Tech writer in the field of Artificial Intelligence.

Articles from Silpaja

VATr++: Advanced Few-Shot Styled Handwritten Text Generation

VATr++: Advanced Few-Shot Styled Handwritten Text Generation

Enhancing Few-Shot Semantic Segmentation with Transductive Meta-Learning

Enhancing Few-Shot Semantic Segmentation with Transductive Meta-Learning

Ensemble Learning for Botnet Detection to Enhance IoT Security

Ensemble Learning for Botnet Detection to Enhance IoT Security

Speech-Based Classification of Parkinson's Disease and Essential Tremor: A Gaussian Mixture Models Approach

Speech-Based Classification of Parkinson's Disease and Essential Tremor: A Gaussian Mixture Models Approach

The AI Revolution in Voice Commerce

The AI Revolution in Voice Commerce

Understanding Dropout in AI

Understanding Dropout in AI

Lightweight Enhancements in YOLOv5 for Vehicle Detection

Lightweight Enhancements in YOLOv5 for Vehicle Detection

Deep Learning Cleans Up Noise in X-ray Data Analysis

Deep Learning Cleans Up Noise in X-ray Data Analysis

Dynamic Node Selection for Federated Learning in Space-Air-Ground Information Networks

Dynamic Node Selection for Federated Learning in Space-Air-Ground Information Networks

Aesthetic Diffusion Model: Revolutionizing Interior Design with AI

Aesthetic Diffusion Model: Revolutionizing Interior Design with AI