Dr. Pankaj Tyagi

Research

Machine Learning and Artificial Intelligence, Data Science, Olfaction, Electronic-Nose Technology, with a focus on interdisciplinary collaborations to advance diagnostic applications

Publication

• SCI/SCIE-Indexed journal articles
  • Tyagi, Pankaj, Bansal, S., Sharma, A., Tiwary, U. S., & Varadwaj, P. (2024). Differences in olfactory functioning: The role of personality and gender. Journal of Sensory Studies, 39(2), e12907.
  • Tyagi, Pankaj, Semwal, R., Sharma, A., Tiwary, U. S., & Varadwaj, P. (2023). Xgboost odor prediction model: Finding the structure–odor relationship of odorant molecules using the extreme gradient boosting algorithm. Journal of Biomolecular Structure and Dynamics, 1–12.
  • Tyagi, Pankaj, Semwal, R., Sharma, A., Tiwary, U. S., & Varadwaj, P. (2022). E-nose: A low-cost fruit ripeness monitoring system. Journal of Agricultural Engineering, 54(1).
  • Semwal, R., Aier, I., Tyagi, Pankaj, & Varadwaj, P. (2021). Deepn: A deep neural network-based tool for enzyme functional annotation. Journal of Biomolecular Structure and Dynamics, 39(8), 2733–2743.
  • Sharma, A., Kumar, R., Aier, I., Semwal, R., Tyagi, Pankaj, & Varadwaj, P. (2020). Deepolf: Deep neural network-based architecture for predicting odorants and their interacting olfactory receptors. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 19(1), 418–428.
  • Sharma, A., Kumar, R., Aier, I., Semwal, R., Tyagi, Pankaj, & Varadwaj, P. (2019). Sense of smell: Structural, functional, mechanistic advancements and challenges in human olfactory research. Current neuropharmacology, 891–911.
  • Singh, V., Afshan, T., Tyagi, Pankaj, Varadwaj, P. K., & Sahoo, A. K. (2023). Recent development of multi-targeted inhibitors of human topoisomerase II enzyme as potent cancer therapeutics. International journal of biological macromolecules, 226, 473-484.
  • Samal, A. K., Subramaniyam, V., Mathur, T., Kiran, A., Tyagi, Pankaj, Tiwary, U. S., & Kumar Varadwaj, P. (2026). Data augmentation strategies in transfer learning for large language models for enhancing clinical text analysis. Intelligent Data Analysis, 1088467X261433365.
• Conference Papers
  • Tyagi, Pankaj, Vishwakarma, A., Tiwary, U. S., & Varadwaj, P. (2020). Predicting smell perception from molecular descriptors using machine learning approach. In 2020 international conference engineering and telecommunication (ent) (pp. 1–5). IEEE.
  • Tyagi, Pankaj, & Singh, V. (2018). Decorrelation of temperature and humidity sensors by comparing classifier’s performance on metal oxide semiconductor sensor’s dataset. In 2018 international conference on bioinformatics and systems biology (bsb) (pp. 212–214). IEEE.
  • Semwal, R., Aier, I., Tyagi, Pankaj, Raj, U., & Varadwaj, P. (2023). Deeplbs: A deep convolutional neural network-based ligand-binding site prediction tool. In 2023 6th international conference on information systems and computer networks (iscon) (pp. 1–4). IEEE.
• Patents
  • Aier, I., Tyagi, Pankaj, Yadav, S., & Varadwaj, P. (2025). E-nose volatile organic compound sample collection device. 482011-001.
  • Tyagi, Pankaj, Aier, I., Pujari, S., & Varadwaj, P. (2025). Handheld exhaled breath volatile organic compound sampling device. 484153-001.
  • Tyagi, Pankaj, Varadwaj, P., Kukreja, D., Aier, I., Singh, S., Mishra, A., Tiwary, U. S. (2025). Ai-based system for detecting volatile organic compounds in sebum samples using metal-oxide-semiconductor sensors and method of operation. 202511061023.
  • Tyagi, Pankaj, Aier, I., Varadwaj, P., (2026). Portable Breath Analysis System for Detecting Volatile Organic Compounds in Exhaled Breath and Method Thereof. 202611055577.
• Research Interests Machine Learning and Artificial Intelligence, Data Science, Olfaction, Electronic-Nose Technology, with a focus on interdisciplinary collaborations to advance diagnostic applications
• Books/ Book Chapters 01
• Conferences 03

Courses/Programmes

Taught in B.Tech & M.Tech programs

Teaching interests

Machine Learning & Artificial Intelligence, Data Structure & Algorithms

Work Experience

2.5 years of post-doctoral research experience

Corporate Mentoring

Designated Partner & Director in a start-up “SensaHeal India LLP”

Reviewer Experience

Reviewed research articles in areas such as Olfaction, Machine Learning, and Electronic-Nose for reputed journals.