Myself Farhan Sheth, a passionate researcher and practitioner in the field of Artificial Intelligence (AI). I am currently working on multimodal and trustworthy AI research. I am also interested in exploring applications of AI in healthcare, education, and environmental sustainability. I graduated from Manipal University Jaipur with a bachelor’s degree in Computer Science and Engineering.

My primary research interests span multimodal and trustworthy AI, with a particular focus on computer vision, applied AI, machine learning, deep learning, natural language processing, speech processing, and the detection of synthetic media.

📊 Academic Impact

I have published 15 papers at various prestigious journals and conferences, including EACL, INTERSPEECH, IJCNLP-AACL, EAAI, and ICHMT.

🤝 Collaboration

If you have any advice or are interested in exploring academic cooperation, please feel free to contact me at farhansheth.jb@gmail.com. I welcome your insights and look forward to potential collaborations!

🔥 News

• 2026: 🎉 Paper accepted at Interspeech 2026
• 2026.06: 🎉 Paper accepted at ACM Transactions on Computing for Healthcare (HEALTH) journal
• 2026.01: 🎉 Paper accepted at EACL 2026
• 2025.11: 🎉 Paper accepted at International Communications in Heat and Mass Transfer journal
• 2025.10: 🎉 Two papers accepted at IJCNLP-AACL 2025

📝 Publications

View my full list of research papers on Google Scholar.

🏥 AI in Healthcare

• ACM Uc-PrUn: Uncertainty-Calibrated Machine Unlearning using Vision-Language Models for Clinical Decision Support
  Farhan Sheth, Mohd Mujtaba Akhtar, Girish, Muskaan Singh, Alexander Davey. ACM Transactions on Computing for Healthcare, 2026. |

🔒 Privacy & Security

• PREPRINT Selective Token-Level Cryptographic Redaction for Privacy-Preserving Clinical Deployment of Large Language Models
  Farhan Sheth*, Ziyuan Yang*, Yongying Lan, Si Yong Yeo. ArXiv, 2026. |

🗣️ Speech, Audio & Synthetic Media

• INTERSPEECH Synergizing Zero-Shot Cross-Lingual Alzheimer Detection with Language-Invariant Multimodal Bi-Geometric Adversarial Learning
  Girish*, Mohd Mujtaba Akhtar*, Farhan Sheth*, Muskaan Singh, Juliana Gerard, Paula McClean, Kongfatt Wong-Lin. Interspeech, 2026.
• EACL Bridging Attribution and Open-Set Detection using Graph-Augmented Instance Learning in Synthetic Speech
  Mohd Mujtaba Akhtar*, Girish*, Farhan Sheth*, Muskaan Singh. European Chapter of the Association for Computational Linguistics, 2026.
• IJCNLP-AACL Curved Worlds, Clear Boundaries: Generalizing Speech Deepfake Detection using Hyperbolic and Spherical Geometry Spaces
  Farhan Sheth*, Girish*, Mohd Mujtaba Akhtar*, Muskaan Singh. International Joint Conference on Natural Language Processing & Asia-Pacific Chapter of the Association for Computational Linguistics, 2025.
• IJCNLP-AACL Towards Attribution of Generators and Emotional Manipulation in Cross-Lingual Synthetic Speech using Geometric Learning
  Girish*, Mohd Mujtaba Akhtar*, Farhan Sheth, Muskaan Singh. International Joint Conference on Natural Language Processing & Asia-Pacific Chapter of the Association for Computational Linguistics, 2025.

🌍 Applied AI

• PREPRINT RecruitView: A Multimodal Dataset for Predicting Personality and Interview Performance for Human Resources Applications
  Amit Kumar Gupta*, Farhan Sheth*, Hammad Shaikh, et al. ArXiv, 2025. | | |
• ICHMT Learning heat: High-fidelity experimental and thermal conductivity predictions in nanofluids via advanced data augmentation and metaheuristic search
  Farhan Sheth*, Priya Mathur*, Hammad Shaikh, et al. International Communications in Heat and Mass Transfer, 2026. | |

🌿 AI in Earth Sciences

• EAAI An advanced artificial intelligence framework integrating ensembled convolutional neural networks and Vision Transformers for precise soil classification with adaptive fuzzy logic-based crop recommendations
  Farhan Sheth, Priya Mathur, Amit Kumar Gupta, Sandeep Chaurasia. Engineering Applications of Artificial Intelligence, 2025. | |
• PM Herbify: An ensemble deep learning framework integrating CNNs and Vision Transformers for precise herb identification
  Farhan Sheth, Ishika Chatter, Manvendra Jasra, et al. Plant Methods, 2025. | |

🎖 Honors and Awards

• 2025.08: 📃 Student Excellence Award for Research (Undergraduate)
• 2025.07: 📃 Student Excellence Award for Research (Undergraduate)
• 2025.02: 📃 Student Excellence Award for Research (Undergraduate)
• 2024.09: 🏆 Best Minor Project in Research Category (Undergraduate)
• 2024.09: 📃 Student Excellence Award for Research (Undergraduate)
• 2024.04: 📃 Student Excellence Award for Research (Undergraduate)
• 2024.03: 📃 Student Excellence Award for Research (Undergraduate)

📖 Educations

• 2021.07 - 2025.07: Bachelor of Technology (B.Tech.) in Computer Science & Engineering (CSE)
  School of Computer Science & Engineering, Manipal University Jaipur, India

💻 Experience

• 2025.01 - Present: Research Assistant, Nanyang Technological University (NTU), Singapore
  Advisor: Dr. Yeo Si Yong
• 2024.06 - Present: Project Lead, AI4A Lab, India
• 2024.06 - 2025.11: Research Intern, Ulster University, United Kingdom
  Advisor: Dr. Muskaan Singh
• 2024.01 - 2025.10: Project Lead, Manipal University Jaipur, India
• 2024.06 - 2024.07: Research Intern, NIT Jalandhar, India
  Advisor: Dr. Rajesh Singla
• 2023.12 - 2024.05: Research Assistant, Universidad de Las Palmas de Gran Canaria, Spain
  Advisor: Prof. Carlos M. Travieso-González
• 2023.11 - 2024.04: Member, AI4A Lab, India
• 2023.06 - 2023.11: Research Intern, Manipal University Jaipur, India
  Advisor: Dr. Amit Kumar Gupta
• 2023.05 - 2023.09: Intern, AICTE NEAT, India

Acknowledgements

I extend my sincere gratitude to my collaborators and advisors for their guidance and partnership.