Yash Raj Shrestha
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Prof. Dr. Yash Raj Shrestha | |
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| Born | Eastern Hills, Nepal |
| Nationality | Nepali |
| Alma mater | ETH Zurich, Saarland University, National Institute of Technology |
| Website | HEC Lausanne Page |
Yash Raj Shrestha is a researcher and professor known for his work in algorithm design[dubious – discuss], data science, and organizational theory. He is currently affiliated with HEC Lausanne,[1][2], a highly prestigious institution known for its contributions to business and management education, where his research focuses on bridging the gap between computer science and organizational theory, particularly in the study of new forms of organizations such as online communities.
Early life and education
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Yash Raj Shrestha was born and raised in the eastern hills of Nepal. He completed his undergraduate studies in electronics and communication engineering at the National Institute of Technology, Durgapur. He then pursued a Master’s degree in computer science at Saarland University where he focused on algorithmic complexity in graph theory.
Shrestha completed his PhD in data science and strategy at ETH Zurich under Georg von Krogh, Phanish Puranam, and Ce Zhang. His dissertation, titled "Bridging Data Science and Organization Science: Leveraging Algorithmic Induction to Research Online Communities", explored how algorithmic methods could be applied to organizational research, particularly in the context of online communities.
Career
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Prior to his academic career, Shrestha worked as a research associate at the Cluster of Excellence MMCI in Germany from 2010 to 2014. His work there focused on computational social choice and theoretical computer science. Shrestha has also been a visiting scholar at the Laboratory of Innovation Science, Harvard University, and the Institute of Mathematical Sciences, Chennai. He has also worked as a software engineer at Samsung.
Shrestha's research is supported by various institutions, including the Swiss National Science Foundation, the German Research Foundation, and the Government of India.
Research
[edit]Shrestha's research interests lie at the intersection of data science, algorithm design, and organizational theory. His work explores how computational methods, particularly machine learning, and algorithmic induction, can inform the study of organizational structures and decision-making processes, especially in new and emerging forms of organizing such as online communities and open-source software development.
His research on the intersection of artificial intelligence and organizational theory, published in journals like Organization Science and California Management Review, has been widely cited and recognized for advancing the understanding of decision-making in digital organizations.[3]
His contributions include:
- The application of deep learning algorithms to augment organizational decision-making (Shrestha, Y. R., et al., 2021, Journal of Business Research)
- Exploring the role of artificial intelligence in strategizing and organizational governance (Shrestha, Y. R., et al., 2019, California Management Review)
- "Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges." Journal of Business Research, 123*, 588–603. Shrestha, Y. R., Krishna, V., and von Krogh, G., (2021) [4]
- "Algorithm Supported Induction for Building Theory: How Can We Use Prediction Models to Theorize?" Organization Science, 32*(3), 856–880. Shrestha, Y. R., He, V. F., Puranam, P., and von Krogh, G., (2021) [5]
- "Organizational Decision-Making Structures in the Age of Artificial Intelligence." California Management Review. Shrestha, Y. R., Ben-Menahem, S., and von Krogh, G. (2019)
Shrestha has been awarded grants for his research, including a CHF 569,754 grant from the Swiss National Science Foundation in 2021 for the project "Sustaining Knowledge Creation in Online Communities."[6]
He also won the ICIS 2023 Best Kauffman Paper Runner-Up with his team thanks to his paper: "Bashardoust, Amirsiavosh; Safaei, Negin; Haki, Kazem; Shrestha, Yash Raj; Employing Machine Learning to Advance Agent-based Modeling in Information Systems Research (2023)".[7]
Professional service
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Shrestha serves as an ad-hoc reviewer for academic journals and conferences, including:
- Strategic Management Journal
- Information Systems Research
- Organization Science
- California Management Review
- Research Policy
He is also involved in several international conferences, including the International Conference on Information Systems and the Annual Meetings of the Academy of Management.
Teaching
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Shrestha teaches courses related to strategic management and innovation, with a focus on the intersection of technology and organizational theory. He has supervised numerous Master’s theses at ETH Zurich and HEC Lausanne. Notable students of his include Matteo Frondoni, who received the SEW-EURODRIVE Foundation Student Prize in 2016, and Christoph Hirnschall, who received the Willie Studer Prize in 2017.
References
[edit]- ^ "Collaboration between humans and AI could hold the key to improved decision-making - research". www.managementtoday.co.uk. Retrieved 2024-11-30.
- ^ Easen, Nick (2024-09-09). "Why generative AI presents a fundamental security threat". Raconteur. Retrieved 2024-11-30.
- ^ "Google Scholar". Google Scholar. Retrieved 3 December 2024.
- ^ "Augmenting organizational decision-making with deep learning algorithms: Principles, promises, and challenges". Journal of Business Research. Retrieved 3 December 2024.
- ^ https://pubsonline.informs.org/doi/pdf/10.1287/orsc.2020.1382
- ^ "Data Portal". Swiss National Science Foundation. Retrieved 3 December 2024.
- ^ "ICIS 2023 Paper AWARDS". AIS eLibrary. Retrieved 3 December 2024.
