Name: Dr. R. Saranya Designation: Assistant Professor Phone: 04366-277230 Email:saranya@cutn.ac.in
Biographic Sketch:
Dr. R. Saranya is an Assistant Professor in the Department of Computer Science at the Central University of Tamil Nadu (CUTN), Thiruvarur, serving since 2016. She earned her B.E. and M.E. degrees in Computer Science and Engineering from Anna University, Chennai, both with First Class with Distinction, and completed her Ph.D. in Requirement Engineering from Madurai Kamaraj University in 2015. With over 14 years of academic and research experience, her expertise spans Software Engineering, Cybersecurity, Social Media Data Analytics, Content Moderation, Distributed Systems, and Clinical NLP. She was awarded the TNSCST Young Scientist Fellowship for advanced research in LLM-based Clinical Text Generation at IIT Delhi. Dr. Saranya has organized and contributed to multiple international workshops including DravidianLangTech-2024 (EACL) and DravidianLangTech-2025 (NAACL) on Speech, Vision, and Language Technologies for Dravidian Languages. She has been actively involved in the creation of multilingual and multimodal datasets in low-resource Indian languages, contributing to several shared tasks and benchmarking initiatives in the DravidianLangTech series. Under her guidance two scholars have been awarded.
Research Highlights :
My current research focuses on Large Language Models (LLMs) and Generative AI for multilingual, multimodal, and clinical Natural Language Processing (NLP) applications. I am particularly engaged in developing LLM-driven frameworks for automated generation and evaluation of hospital discharge summaries and radiology reports, addressing challenges of accuracy, coherence, and medical interpretability in low-resource healthcare settings. In parallel, my work advances hate speech detection, counter-speech generation, political and misogynistic meme analysis, and reinforcement learning–based social media moderation for low resource languages . My current research focuses on Large Language Models (LLMs) and Generative AI for multilingual, multimodal, and clinical Natural Language Processing (NLP) applications. I am particularly engaged in developing LLM-driven frameworks for automated generation and evaluation of hospital discharge summaries and radiology reports, addressing challenges of accuracy, coherence, and medical interpretability in low-resource healthcare settings. In parallel, my work advances hate speech detection, counter-speech generation, political and misogynistic meme analysis, and reinforcement learning–based social media moderation for low resource languages .
Recent Publications :
Kathiravan Pannerselvam., Saranya Rajiakodi (2025),“Systematic Literature Review on Hate Speech Detection in Indian Low-Resource Languages,” has been accepted for publication in the Journal of Computational Social Science (JCSO),Springer Nature.
Prasannan, Praveen, Prasanna Kumar Kumaresan, Saranya Rajiakodi, C. N. Subalalitha, and Bharathi Raja Chakravarthi (2025). "Counter-speech generation for homophobic and transphobic social media content in Malayalam." Social Network Analysis and Mining 15, no. 1 :87, Springer Nature.
Shanu Sidharth Kumar Dhawale, Rahul Ponnusamy, Prasanna Kumar Kumaresan, Sajeetha Thavareesan, Saranya Rajiakodi, Bharathi Raja Chakravarthi (2025) ,RACHNA: Racial hoax code mixed Hindi–English with novel language augmentation,Natural Language Processing Journal,Volume 13,100183, Elsevier.
Chakravarthi, Bharathi Raja, Saranya Rajiakodi, Rahul Ponnusamy, B. Sreelakshmi, S. Yogesh Thavareesan, and S. Thavaseelan Thavaseelan (2025). "Detecting Caste and Migration Hate Speech in Low-resource Tamil Language. Language Resources and Evaluation, Springer.
Vivek Suresh Raj, Ruba Priyadharshini, Saranya Rajiakodi, Bharathi Raja Chakravarthi (2025), Bayesian Q-learning in multi-objective reward model for homophobic and transphobic text classification in low-resource languages: A hypothesis testing framework in multi-objective setting, Natural Language Processing Journal, Volume 11,100152.
Sivagnanam, B., CH, R. K., Chauhan, P., & Rajiakodi, S. (2025). CUTN_Bio at BioLaySumm: Multi-Task Prompt Tuning with External Knowledge and Readability adaptation for Layman Summarization. In Proceedings of the 24th Workshop on Biomedical Language Processing (Shared Tasks) (pp. 269-274).
Kiran Kumar Kondru, Saranya Rajiakodi (2024), "RaftOptima: An Optimised Raft with enhanced Fault Tolerance, and increased Scalability with low latency," in IEEE Access, IEEE.
Nitesh Jindal, Prasanna Kumar Kumaresan, Rahul Ponnusamy, Sajeetha Thavareesan, Saranya Rajiakodi, Bharathi Raja Chakravarthi (2024). “ MISTRA: Misogyny Detection through Text-Image Fusion and Representation Analysis”, Natural Language Processing Journal, Elsevier.
Rahul Ponnusamy, Saranya R, et al., (2024). “From Laughter to Inequality: Annotated Dataset on Misogyny in Tamil and Malayalam Memes" in LREC-COLING 2024 conference at Torino -Italia.
Pannerselvam, Kathiravan, Saranya Rajiakodi, Sajeetha Thavareesan, Sathiyaraj Thangasamy, and Kishore Kumar Ponnusamy. "SetFit: A Robust Approach for Offensive Content Detection in Tamil-English Code-Mixed Conversations Using Sentence Transfer Fine-tuning." DravidianLangTech 2024.
