Dr. Taniya Seth is a researcher in Computer Science whose work bridges artificial intelligence, subjective perception and human-centered natural language processing. Having pursued her entire postgraduate journey at South Asian University (SAU), she has grown from a Gold Medalist in her Master’s program to an internationally recognized scholar. Her doctoral research focused on modeling linguistic uncertainty and human perception, contributing over 20 publications in leading venues such as IEEE Transactions on Fuzzy Systems, IJCAI, FUZZ-IEEE, and IJCNN. She has represented SAU at global platforms, including as a panelist at the 2024 Grace Hopper Celebration India, and has been a visiting researcher at the University of Santiago de Compostela, Spain. Alongside research, she is passionate about mentoring, building inclusive tech communities, and advancing responsible AI for social good, with a vision of positioning SAU at the forefront of impactful, interdisciplinary scholarship.
Dr. Seth’s research lies at the intersection of artificial intelligence, natural language processing, and human cognition, with a particular emphasis on modeling linguistic uncertainty and subjective human perception. She explores how fuzzy logic and interpretable machine learning can complement deep learning to move beyond purely statistical models of language, enabling systems that better capture nuance, hesitancy, and context. Her work envisions next-generation human-centered AI: robust, transparent, and ethically grounded: that can reason under uncertainty, generate trustworthy natural language, and support real-world decision-making in domains such as healthcare, psychology, and social impact technologies. She is especially interested in advancing research on explainable and perceptual AI, uncertainty-aware neural architectures, and cross-disciplinary approaches that integrate psychology with machine intelligence.
JOURNAL:
1.PerCIST: A Perceptual Computing based Decision Support System for Nonclinical Diagnosis of Diabetes Mellitus Taniya Seth, Priyanka Mehra, Pranab K. Muhuri. IEEE Transactions on Fuzzy Systems, 2024. (I.F. 10.7)
2.MARSHAL: Multiple-Attribute Regret Theory and Semantically Aware Probabilistic Weights based Hesitant Linguistic Decision Making Taniya Seth, Pranab K. Muhuri. IEEE Transactions on Fuzzy Systems. 2024. (I.F. 10.7)
3.Hesitant and Uncertain Linguistics based Executive Decision Making using Risk and Regret Aversion Taniya Seth, Pranab K. Muhuri. MethodsX. 2024. (I.F. 1.7)
4.Artificial Intelligence centric Scientific Research on COVID-19: An Analysis based on Scientometric Data Amit K. Shukla, Taniya Seth, Pranab K. Muhuri. Multimedia Tools and Applications. 2023. (I.F. 3.0)
5. Type-2 Fuzzy Set based Hesitant Fuzzy Linguistic Term Sets for Linguistic Decision Making Taniya Seth, Pranab K. Muhuri. ArXiv. 2020. (A later version currently under review.)
6. A Bibliometric Overview of the Field of Type-2 Fuzzy Sets and Systems Amit K. Shukla, Sumit K. Banshal, Taniya Seth, Aparna Basu, Robert John, Pranab K. Muhuri. IEEE Computational Intelligence Magazine. 2019. (I.F. 10.3)
CONFERENCE:
Fuzzy Confidence Attention: Harnessing Token-Level Uncertainty for Robust Transformer Models Reims, France Taniya Seth, Pranab K. Muhuri. IEEE International Conference on Fuzzy Systems. 2025. (CORE B)
Beyond Calibration – Leveraging Controlled Self-Deception for Robust Neural Network Learning Rome, Italy Taniya Seth, Pranab K. Muhuri. International Joint Conference on Neural Networks. 2025. (CORE B)
Enriching Word Embeddings with Fuzzy Systems for Natural Language Processing Tasks Yokohama, Japan Taniya Seth, Pranab K. Muhuri. IEEE International Conference on Fuzzy Systems. 2024. (CORE B)
Ncode: Encoding Non-Homogeneous Information into Type-2 Fuzzy Words in Decision-Making Incheon, South Korea Taniya Seth, Pranab K. Muhuri. IEEE International Conference on Fuzzy Systems. 2023. (CORE B)
Optimizing Hyperparameters in CNNs using Bilevel Programming for Time Series Data Virtual Taniya Seth, Pranab K. Muhuri. Data Science Meets Optimization (DSO) Workshop, 29th International Joint Conference on Artificial Intelligence and 17th Pacific Rim Conference on Artificial Intelligence (IJCAI-PRICAI). 2021. (CORE A*)
Generating Quality IF-THEN Rules for Diabetes using Linguistic Summarization Virtual Priyanka Mehra, Taniya Seth, Pranab K. Muhuri. IEEE International Conference on Fuzzy Systems. 2020. (CORE B)
Perceptual Computing with Comparative Linguistic Expressions Virtual Taniya Seth, Pranab K. Muhuri. IEEE International Conference on Fuzzy Systems. 2020. (CORE B)
A Linguistic Decision Making Model for Psychometric Tests New Orleans, USA Taniya Seth, Prashant K. Gupta, Pranab K. Muhuri. IEEE International Conference on Fuzzy Systems. 2019. (CORE B)
Interval Type-2 Fuzzy Restricted Boltzmann Machine for the Enhancement of Deep Learning New Orleans, USA Manvendra Janmaijaya, Amit K. Shukla, Taniya Seth, Pranab K. Muhuri. IEEE International Conference on Fuzzy Systems. 2019. (CORE B)
A Novel Solution Approach for Fuzzy Linear Bilevel Multi-Follower Programming Problems Rio De Janeiro, Brazil Taniya Seth, Pranab K. Muhuri. IEEE International Conference on Fuzzy Systems. 2018. (CORE B)
Hesitant Fuzzy Linguistic Term Sets for Group Decision Making in Supplier Performance Evaluation Rio De Janeiro, Brazil Taniya Seth, Prashant K. Gupta, Pranab K. Muhuri. IEEE International Conference on Fuzzy Systems. 2018. (CORE B)
Interval type-2 fuzzy sets for enhanced learning in deep belief networks Naples, Italy Amit K. Shukla, Taniya Seth, Pranab K. Muhuri. IEEE International Conference on Fuzzy Systems. 2017. (CORE B)
Dr. Seth has been the recipient of several prestigious awards and fellowships, including the Google Generation Scholarship (APAC), the DST INSPIRE Fellowship by the Government of India, and the Gold Medal for academic excellence at SAU. She has also received competitive international research grants and travel awards from organizations such as IEEE, EUSFLAT, Google, Kaggle, Zendesk Inc., and Nuance Communications. Her contributions have been recognized with distinctions such as Outstanding Reviewer for the Machine Learning Reproducibility Challenge and Juror for the AI/ML track at the Grace Hopper Celebration India, where she was also invited as a panelist.