3rd World Congress on
Environmental Science & Climate Change

Dr. Bama Raja Segaran

Universiti Putra Malaysia

Abstract Title:

Efficient ML Technique in Blockchain-Based Solution in Carbon Credit for Mitigating Greenwashing

Biography:

Bama Raja Segaran is a dedicated PhD student in Data Science with a specialized focus on addressing the challenges of global climate change. With an impressive 24 years of experience in software development, she brings a unique blend of technical expertise and academic insight to her work.

Her research is centered on bridging the gap between data-driven insights and actionable strategies to combat climate change. By leveraging her extensive industry background and innovative approaches in data science, Bama aims to develop impactful solutions to one of the world’s most pressing issues.

Bama’s academic journey is marked by a commitment to integrating cutting-edge technologies and methodologies to advance sustainable practices, making her a valuable contributor to both the fields of data science and environmental sustainability.

Research Interests:

Bama Raja Segaran’s research interests focus on leveraging data science to address critical environmental and sustainability challenges. Her key areas of interest include:

• Climate Change Mitigation and Adaptation: Developing data-driven models to analyze and predict the impacts of climate change, and formulating strategies for mitigation and resilience.
• Big Data and Machine Learning Applications: Utilizing advanced analytics and machine learning to uncover patterns and trends in environmental data.
• Sustainable Resource Management: Exploring data-driven solutions for optimizing the use of natural resources and reducing environmental impact.
• Predictive Modeling for Climate Action: Building predictive tools to support decision-making in climate change policies and actions.
• Integration of Technology and Environmental Science: Bridging the gap between software development, data analytics, and environmental sustainability.

Bama is passionate about employing her expertise in data science to create innovative, scalable, and impactful solutions that contribute to a more sustainable future.