Prof. Dr. Suresh Neethirajan is a Professor and University Research Chair at Dalhousie University, Canada, cross-appointed between the Faculty of Agriculture and the Faculty of Computer Science. He leads the MooAnalytica research group, which focuses on AI-driven precision livestock farming, digital agriculture, and interspecies communication. His interdisciplinary research integrates artificial intelligence, computer vision, biosensors, and natural language processing to improve animal welfare, sustainability, and farm productivity. With a strong background in biosystems engineering, Dr. Neethirajan bridges computer science, animal behavior, ethics, and agricultural engineering to address emerging challenges in modern farming. His work explores AI ethics, animal-centered computing, and human-animal-computer interactions, translating fundamental science into real-world applications. He collaborates widely across academia and industry to develop innovative solutions for animal health monitoring, behavior analysis, and data-informed agricultural decision-making. Passionate about student mentorship, he actively supports training the next generation of scientists at the intersection of AI, ethics, and animal welfare.
Prof. Dr. Suresh Neethirajan is a Professor and University Research Chair at Dalhousie University, Canada, cross-appointed between the Faculty of Agriculture and the Faculty of Computer Science. He leads the MooAnalytica research group, which focuses on AI-driven precision livestock farming, digital agriculture, and interspecies communication. His interdisciplinary research integrates artificial intelligence, computer vision, biosensors, and natural language processing to improve animal welfare, sustainability, and farm productivity. With a strong background in biosystems engineering, Dr. Neethirajan bridges computer science, animal behavior, ethics, and agricultural engineering to address emerging challenges in modern farming. His work explores AI ethics, animal-centered computing, and human-animal-computer interactions, translating fundamental science into real-world applications. He collaborates widely across academia and industry to develop innovative solutions for animal health monitoring, behavior analysis, and data-informed agricultural decision-making. Passionate about student mentorship, he actively supports training the next generation of scientists at the intersection of AI, ethics, and animal welfare.