Farhan Sheth
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AI researcher

Academic overview

Multimodal, trustworthy, and applied AI across clinical privacy, speech forensics, human-centered learning, scientific machine learning, and agricultural intelligence.

Seeking prospective advisors and funded PhD opportunities for 2026–2027.

About

My work brings together trustworthy AI, multimodal learning, speech forensics, and scientific applications.

Google Scholar impact

Total citations
106
h-index
7
i10-index
5
Publications
18

News

  1. Accepted at ACM Transactions on Computing for Healthcare

  2. Accepted at International Communications in Heat and Mass Transfer

  3. Accepted at EACL 2026

  4. Accepted at Interspeech 2026

  5. Accepted at IJCNLP-AACL 2025

Selected publications

Privacy, Trust & Safety

  1. Selective Token-Level Cryptographic Redaction for Privacy-Preserving Clinical Deployment of Large Language Models

    Under review

Multimodal & Human-Centered AI

  1. RecruitView: A Multimodal Dataset for Predicting Personality and Interview Performance for Human Resources Applications

    Under review

Healthcare & Clinical AI

  1. Synergizing Zero-Shot Cross-Lingual Alzheimer Detection with Language-Invariant Multimodal Bi-Geometric Adversarial Learning

    Interspeech · 2026

  2. Uc-PrUn: Uncertainty-Calibrated Machine Unlearning using Vision-Language Models for Clinical Decision Support

    ACM HEALTH · 2026

Speech, Audio & Synthetic Media

  1. Bridging Attribution and Open-Set Detection using Graph-Augmented Instance Learning in Synthetic Speech

    EACL · 2026

  2. Curved Worlds, Clear Boundaries: Generalizing Speech Deepfake Detection using Hyperbolic and Spherical Geometry Spaces

    IJCNLP-AACL · 2025

  3. Towards Attribution of Generators and Emotional Manipulation in Cross-Lingual Synthetic Speech using Geometric Learning

    IJCNLP-AACL Findings · 2025

Scientific & Applied AI

  1. Learning heat: High-fidelity experimental and Koo-Kleinstreuer-Li thermal conductivity predictions in nanofluids via advanced data augmentation and metaheuristic search

    ICHMT · 2026

Earth & Agricultural Intelligence

  1. An advanced artificial intelligence framework integrating ensembled convolutional neural networks and Vision Transformers for precise soil classification with adaptive fuzzy logic-based crop recommendations

    EAAI · 2025

  2. Herbify: An ensemble deep learning framework integrating convolutional neural networks and vision transformers for precise herb identification

    PM · 2025

Experience

  1. Nanyang Technological University (NTU), Singapore

    Research Assistant · Jan 2025 – Present

    Advisor: Dr. Si Yong Yeo

  2. AI4A Lab, India

    Member; Project Lead (June 2024–present) · Nov 2023 – Present

  3. Ulster University, United Kingdom

    Research Intern · Jun 2024 – Nov 2025

    Advisor: Dr. Muskaan Singh

  4. Manipal University Jaipur, India

    Project Lead · Jan 2024 – Oct 2025

    Advisor: Prof. Sandeep Chaurasia

  5. National Institute of Technology (NIT) Jalandhar, India

    Research Intern · Jun 2024 – Jul 2024

    Advisor: Dr. Rajesh Singla

  6. Universidad de Las Palmas de Gran Canaria (ULPGC), Spain

    Research Assistant · Dec 2023 – May 2024

    Advisor: Prof. Carlos M. Travieso-González

Education

  1. Bachelor of Technology in Computer Science and Engineering

    Manipal University Jaipur, India · 2021–2025

    CGPA: 8.53/10.0

Honors

  1. Student Excellence Award for Research (Undergraduate)

    Manipal University Jaipur

  2. Best Minor Project in Research Category (Undergraduate)

    Manipal University Jaipur

Teaching and academic service

  1. Undergraduate Teaching Assistant

    Data Structures and Algorithms; Data Science and Machine Learning · Manipal University Jaipur

  2. Reviewer, ICASSP 2026

    Peer reviewer · IEEE International Conference on Acoustics, Speech and Signal Processing

Contact

Contact Farhan Sheth at farhansheth.jb@gmail.com for research and collaboration.