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

Enhancing Coal and Gas Outburst Prediction in Chinese Mines

Researchers in China have developed an advanced prediction model, IGWO-SVM, utilizing Grey Wolf Optimization and support vector machines to improve the accuracy of coal and gas outburst predictions in coal mines. This method, along with Random Forest for dimension reduction, holds promise for safer underground mining operations in China's coal industry.

27 Sep 2023

Revolutionizing Maize Genomics with Machine Learning

Researchers have leveraged machine learning and deep learning techniques, including BiLSTM networks, to classify maize gene expression profiles under biotic stress conditions. The study's findings not only demonstrate the superior performance of the BiLSTM model but also identify key genes related to plant defense mechanisms, offering valuable insights for genomics research and applications in developing disease-resistant maize varieties.

26 Sep 2023

Harnessing Machine Learning for Advancing Offshore Wind Energy

Researchers have conducted a comprehensive review of the offshore wind energy industry, emphasizing the role of machine learning (ML) and artificial intelligence (AI) in addressing challenges related to turbine size, efficiency, environmental impact, and deep-water deployment. ML applications include climate forecasting, environmental impact assessment, wind farm optimization, and more.

26 Sep 2023

Enhancing Financial Crisis Prediction: Leveraging MD&A Text Analysis in Chinese Listed Companies

Researchers analyzed the Management Discussion and Analysis (MD&A) text in annual financial reports of Chinese listed companies using natural language processing (NLP) and machine learning (ML) techniques. Their study highlighted the importance of MD&A text readability and similarity in early financial crisis prediction, demonstrating the potential for combining linguistic features with traditional financial indicators for more robust risk assessment in the Chinese capital market.

26 Sep 2023

An Introduction to AI-Powered Surveillance

This article explores the transformative role of Artificial Intelligence (AI) in surveillance systems. It highlights various applications of AI, such as object detection, facial recognition, and behavior analysis, while addressing key challenges including privacy concerns, algorithmic bias, and data security. The article concludes by discussing the future scope of AI-powered surveillance, emphasizing advancements in accuracy, privacy preservation, and IoT integration.

25 Sep 2023

How Can AI be Used in Mental Health Care?

Artificial Intelligence (AI) is revolutionizing mental health care by enabling early intervention, tailored treatment plans, on-demand support, and proactive interventions. However, it also poses challenges related to privacy, bias, and user acceptance that must be addressed collaboratively to unlock AI's full potential in supporting mental well-being.

25 Sep 2023

Introducing Code Llama: Powerful Language Models for Efficient Coding

The Code Llama family of Large Language Models (LLMs) presents a breakthrough in coding capabilities. These models excel at code infilling and comprehensive input support, making them efficient coders without the need for prior examples. With three model types, including Python-specific variations, they offer a versatile toolkit for various coding tasks, underpinned by unique training methods and extensive datasets.

24 Sep 2023

Harnessing the Power of AI in Regenerative Medicine

This paper explores how artificial intelligence (AI) is revolutionizing regenerative medicine by advancing drug discovery, disease modeling, predictive modeling, personalized medicine, tissue engineering, clinical trials, patient monitoring, patient education, and regulatory compliance.

22 Sep 2023

AI Breaks New Ground in Weather Forecasting

This article explores the emerging role of Artificial Intelligence (AI) in weather forecasting, discussing the use of foundation models and advanced techniques like transformers, self-supervised learning, and neural operators. While still in its early stages, AI promises to revolutionize weather and climate prediction, providing more accurate forecasts and deeper insights into climate change's effects.

22 Sep 2023

Proactive Service Robots Enhance Customer Engagement in Value Co-Creation

This study investigates the impact of proactive service robot behavior on customer-robot interactions and value co-creation. Findings indicate that proactive robots increase customer engagement and willingness to co-create value, shedding light on the role of perceived warmth and competence in shaping these interactions.

21 Sep 2023