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THIRUKUMARAN S

THIRUKUMARAN S

ASSOCIATE PROFESSOR

About

I am an academic professional and researcher with a strong interest in data science, artificial intelligence, and their real-world applications in domains such as healthcare and agriculture. With a background in teaching and research, I am passionate about bridging the gap between theoretical concepts and practical implementation.

My work focuses on developing intelligent systems using machine learning and deep learning techniques, particularly in areas like disease prediction, crop health monitoring, and data-driven decision-making. I have experience working with advanced frameworks and technologies, including big data analytics platforms, neural networks, and transformer-based models.

As an educator, I am committed to delivering quality learning experiences that empower students to think critically and apply their knowledge effectively. I continuously strive to update my teaching methodologies to align with current industry trends and technological advancements.

In addition to teaching, I am actively involved in research and academic writing, contributing to the development of innovative solutions and publishing scholarly work. My areas of interest include predictive analytics, multimodal data modeling, and AI-driven optimization techniques.

I believe in continuous learning and collaboration, and I am always open to exploring new ideas, research opportunities, and interdisciplinary projects. My goal is to contribute meaningfully to both academia and industry by creating impactful, scalable, and sustainable solutions.

Strong minds discuss ideas, average minds discuss events, weak minds discuss people.

12 publications, 8 Scopus, 2 SCI

My research focuses on deep learning for image classification, with applications in healthcare and agriculture. I have a growing interest in drug discovery and bioinformatics, leveraging machine learning to analyze complex biological data. My work aims to develop accurate, scalable, and data-driven models for real-world decision support and predictive analytics.

Research Interests

Agricultural AI

Deep Learning

Image Classification

Bioinformatics

Drug Discovery

Machine Learning

Multimodal Data Analysis

Predictive Analytics

Healthcare AI

NPTEL Certification
Database Management Systems & Machine Learning Models

THIRUKUMARAN S

ASSOCIATE PROFESSOR

School of Computer Science and Engineering

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