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.

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Articles from Silpaja

Crafting Futures: The Impact of AI Integration on Maker Education

This study delves into the realm of maker education, exploring the transformative influence of integrating artificial intelligence (AI). Through surveys and case analyses, the research illuminates the positive impact on students' creativity, practical skills, and overall learning experience, while also shedding light on nuanced responses based on demographic factors. The findings not only underscore the potential for AI-driven enhancements in maker education but also advocate for tailored approaches to cater to the diverse needs of students.

1 Feb 2024

AI-Predicted Eco-friendly Dyeing Recipes for Denim Fabric using Bicomponent Polyester Filaments

Researchers present a groundbreaking study on denim fabric evolution, introducing a novel blend with cotton fibers and bicomponent polyester filaments (PET/PTT). Employing an ant colony algorithm for dye formulation, the study not only showcases superior mechanical and thermal properties of the blend but also demonstrates the algorithm's efficiency in predicting optimal dyeing recipes, revolutionizing denim manufacturing for enhanced sustainability and color uniformity.

1 Feb 2024

Dual-Pooling Attention Approach for Vehicle Re-Identification in UAV Aerial Photography

This research introduces a groundbreaking approach to tackle the challenge of Vehicle Re-Identification (VRU) in Unmanned Aerial Vehicle (UAV) aerial photography. The proposed Dual-Pooling Attention (DpA) module, incorporating both channel and spatial attention mechanisms, effectively extracts and enhances locally important vehicle information, showcasing superior performance on VRU datasets and outperforming state-of-the-art methods.

31 Jan 2024

A Framework for Distributed Self-Driving Laboratories in the World Avatar Project

This paper unveils a revolutionary conceptual architecture for distributed self-driving laboratories (SDLs) within the World Avatar Project, enabling global collaboration in scientific research. Through ontologies, autonomous agents, and a dynamic knowledge graph, the framework orchestrates experimentation workflows, exemplified in collaborative closed-loop optimization for a pharmaceutically relevant reaction. The architecture liberates scientists from routine tasks, redefines closed-loop optimization, and proposes a transformative approach for authentic distributed SDLs, marking a significant stride towards the future of autonomous and integrated laboratory workflows.

31 Jan 2024

Magnetic Multi-Layer Soft Robots for Targeted Adhesion in Gastrointestinal Applications

This groundbreaking study explores the potential of magnetic multi-layer soft robots for biomedical applications, specifically focusing on targeted adhesion in gastric ulcers. The robots, composed of soft magnetic substrates and adhesive films, showcase versatile motions and on-demand separation, overcoming challenges in physiological environments. The successful application in ex-vivo and in-vivo experiments highlights their potential for minimally invasive interventions, marking a significant advancement in the field of biomedical soft robotics

31 Jan 2024

Memory Encoding in the Hippocampus: Computational Models Illuminate CA3 Dynamics

This research delves into the functional role of the hippocampal subfield CA3, proposing it as an auto-associative network for encoding memories. The study unveils dual input pathways from the entorhinal cortex and dentate gyrus, presenting a CA3 model resembling a Hopfield-like network. The comprehensive approach combines computational modeling, data analysis, and machine learning to investigate encoding and retrieval processes, shedding light on memory-related functions and computational advantages in complex tasks.

31 Jan 2024

What is Word2Vec in Natural Language Processing?

Delving into the heart of recent developments in natural language processing (NLP), this investigation explores the transformative impact of Word2Vec. Unveiling the principles, architectural intricacies, applications, and challenges, the article underscores Word2Vec's role in reshaping how computers understand and process human language. From semantic similarity through vector operations to its applications in sentiment analysis, machine translation, and document clustering, Word2Vec emerges as a pivotal milestone in advancing the computational understanding of language.

30 Jan 2024

Exploring the Fundamentals of Reinforcement Learning

This comprehensive exploration delves into the critical role of reward functions in reinforcement learning (RL). Covering the fundamentals, components, design considerations, challenges, and their impact on deep RL (DRL), the article emphasizes the pivotal role reward functions play in shaping the behavior of RL agents. From immediate and delayed rewards to the balance between exploration and exploitation, the intricate design considerations, and the challenges faced in reward function design, the article provides insights into the complexities of this essential element in the RL landscape.

30 Jan 2024

Swift Mine Fire Response: Neural Networks Transform Emergency Decision-Making

In a groundbreaking study, researchers revolutionized mine fire simulations by integrating neural networks with the Fire Dynamics Simulator (FDS) software. The hybrid approach provided rapid and accurate estimates of environmental parameters during mine fires, offering crucial insights for timely emergency decision-making in confined spaces.

29 Jan 2024

Navigating AI Comfort: A Holistic Examination of Public Attitudes

Researchers conducted an omnibus survey with 1150 participants to delve into attitudes towards occupations based on their likelihood of automation, uncovering a general discomfort with AI management. The findings, emphasizing demographic influences and unexpected correlations, contribute to a nuanced understanding of public perceptions surrounding AI, shedding light on distinctive attitudes compared to other technological innovations and advocating for a thoughtful approach to AI integration in various occupational domains.

26 Jan 2024

Silpaja Chandrasekar

Articles from Silpaja

Crafting Futures: The Impact of AI Integration on Maker Education

AI-Predicted Eco-friendly Dyeing Recipes for Denim Fabric using Bicomponent Polyester Filaments

Dual-Pooling Attention Approach for Vehicle Re-Identification in UAV Aerial Photography

A Framework for Distributed Self-Driving Laboratories in the World Avatar Project

Magnetic Multi-Layer Soft Robots for Targeted Adhesion in Gastrointestinal Applications

Memory Encoding in the Hippocampus: Computational Models Illuminate CA3 Dynamics

What is Word2Vec in Natural Language Processing?

Exploring the Fundamentals of Reinforcement Learning

Swift Mine Fire Response: Neural Networks Transform Emergency Decision-Making

Navigating AI Comfort: A Holistic Examination of Public Attitudes

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