Pratyush Yadav

Dr. Pratyush Yadav is an Assistant Professor at the School of Management, Mahindra University. He holds a Ph.D. in Information Systems from the Indian Institute of Technology Madras and previously served as a Research Fellow at the National University of Singapore. His research lies at the intersection of information systems, artificial intelligence, and computational social science, with particular interests in natural language processing, generative AI, human–AI interaction, network analytics, and knowledge discovery.

His current research examines how individuals and groups interact with AI and digital technologies, with ongoing work on digital distractions, AI-driven team conflict detection, LLM-based opinion dynamics simulations, and human–AI collaboration.

His research has been published in journals including IEEE Transactions on Computational Social Systems, Journal of Informetrics, Quality & Quantity, and International Journal of Organizational Analysis. He has also presented his work at leading international conferences including ICIS, PACIS, ECIS, HICSS, and INFORMS. His teaching interests include courses in information systems, computing, data warehousing, and data visualization, AI and ML capabilities for business and network analytics.

• 2018 – 2024: Ph.D. and MS Dual Degree (Information Systems), Indian Institute of Technology Madras, India
• 2014 – 2018: B.E (Electronics and Communication Engineering), SSN College of Engineering, India

Selected Journal Publications

• Yadav, P., Anju, R., & Pervin, N. “When Web of Science and Twitter Collaborate: Leveraging Natural Language Processing to Identify Key Themes on COVID-19 Associated Mental Health.” Quality & Quantity, 2026. https://doi.org/10.1007/s11135-025-02538-4
• Verma, A., Yadav, P., & Kankanhalli, A. “Advancing Team Conflict Detection via Multi-feature Embeddings and LLMs.” IEEE Transactions on Computational Social Systems, 2025. https://doi.org/10.1109/TCSS.2025.3620421
• Nayyar, R., Yadav, P., Baral, R., Raina, M., & Jena, L. K. “Unveiling the Past, Present and Future of Workplace Spirituality Research: A Systematic Review.” International Journal of Organizational Analysis, 2025. https://doi.org/10.1108/IJOA-04-2024-4438
• Yadav, P., & Pervin, N. “Towards Efficient Navigation in Digital Libraries: Leveraging Popularity, Semantics and Communities.” Journal of Informetrics, 2022. https://doi.org/10.1016/j.joi.2022.101336

Selected Conference Proceedings & Presentations

• Yadav, P., Ding, Y., Tong, Y., & Kankanhalli, A. “Attention Under Digital Distraction: An Eye-Tracking Study on the Effectiveness of Blocking Interventions.” Pacific Asia Conference on Information Systems (PACIS) Proceedings, 2026. Best Short Paper Nominee. https://aisel.aisnet.org/pacis2026/hci_robotic/hci_robotic/11
• Verma, A., Yadav, P., & Kankanhalli, A. “AI-Driven Conflict Detection in Teams.” International Conference on Computational Social Science (IC2S2), 2025.
• Yadav, P., Bhaskaran, K., Kankanhalli, A., & Ramasubbu, N. “Blocking Interventions and Cognitive Control: Towards Addressing Digital Distractions.” International Conference on Information Systems (ICIS) TREO Talks, 2024. https://aisel.aisnet.org/treos_icis2024/44
• Yadav, P. “Enriching the Information-Seeking Experience in a Digital Library Ecosystem: From Mining and Organizing Information to Obtaining Fair Recommendations.” ICIS Doctoral Consortium, 2023.
• Singh, S. P., Yadav, P., & Qiao, Z. “Penguin Has Entered the Home: The Impact of COVID-19–Induced Work From Home on Open Source Software Development.” Proceedings of the International Conference on Information Systems (ICIS), 2021. https://aisel.aisnet.org/icis2021/paperathon/paperathon/3
• Yadav, P., Remala, N., & Pervin, N. “Reccite: A Hybrid Approach to Recommend Potential Papers.” 2019 IEEE International Conference on Big Data (Big Data), IEEE, 2019. https://doi.org/10.1109/BigData47090.2019.9006220

• 02/2026 – Present: Assistant Professor, School of Management, Mahindra University
• 07/2024 – 10/2025: Research Fellow, School of Computing, National University of Singapore

• Generative AI and Large Language Models
• Human – AI interaction
• Computational Social Systems
• Digital Distractions and Interventions
• Natural Language Processing
• Knowledge Discovery in Scientific Databases