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 12 papers at various prestigious journals and conferences, including 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

• 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.

🌍 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, 2025. | |
• IEEE-A A computational intelligence framework integrating data augmentation and meta-heuristic optimization algorithms for enhanced hybrid nanofluid density prediction
  Priya Mathur, Hammad Shaikh, Farhan Sheth, et al. IEEE Access, 2025. | |

🗣️ Speech, Audio & Synthetic Media

• 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.

🌿 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. | |
• ACG Advancing Geological Image Segmentation: Deep Learning Approaches for Rock Type Identification and Classification
  Amit Kumar Gupta, Priya Mathur, Farhan Sheth, et al. Applied Computing and Geosciences, 2024. |
• JIM Deep insight: Mango leaf disease classification using advanced deep learning models
  Priya Mathur, Farhan Sheth, Dinesh Goyal, Amit Kumar Gupta. Journal of Interdisciplinary Mathematics, 2024.

🔒 Privacy & Security

• JDMSC Robust cybersecurity through discrete and large language models for effective phishing attack detection
  Dinesh Goyal, Anil Kumar, Priya Mathur, Farhan Sheth, Amit Kumar Gupta. Journal of Discrete Mathematical Sciences and Cryptography, 2025.
• JDMSC Discrete mathematical models for enhancing cybersecurity: A mathematical and statistical analysis of machine learning approaches in phishing attack detection
  Dinesh Goyal, Farhan Sheth, Priya Mathur, Amit Kumar Gupta. Journal of Discrete Mathematical Sciences and Cryptography, 2024.

🏥 AI in Healthcare

• JDMSC A discrete mathematical model and cryptography for secure medical image analysis: Encrypted chest X-ray classification
  Ajit Noonia, Deepti Thakral, Priya Mathur, Farhan Sheth, et al. Journal of Discrete Mathematical Sciences and Cryptography, 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 Intern, Nanyang Technological University (NTU), Singapore
  Advisor: Dr. Yeo Si Yong
• 2024.06 - Present: Research Team Lead, AI4A Lab, India
• 2024.06 - 2025.11: Research Intern, Ulster University, UK
  Advisor: Dr. Muskaan Singh
• 2024.01 - 2025.10: Research Team 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.