Priyank Kumar Singh

Priyank Kumar Singh is working as an Assistant Professor in School of Management, Doon University. He completed his high school from Sherwood College, Nainital. He graduated in Bachelor of Engineering in Electronics and Communication Engineering from Thapar University, Patiala with Master of Business Administration in Marketing and Entrepreneurship, he has a PhD Degree in Management from Doon University, Dehradun. He has written several research papers in various journals. He has participated in various conferences at National and International level as a paper presenter. Also, a voracious reader and a sports lover.

Publications

Impact of Negative Aspects of Artificial Intelligence on Customer Purchase Intention: An Empirical Study of Online Retail Customers Towards AI-Enabled E-Retail Platforms
Impact of Negative Aspects of Artificial Intelligence on Customer Purchase Intention: An Empirical Study of Online Retail Customers Towards AI-Enabled E-Retail Platforms
Arun Mittal, Deen Dayal Chaturvedi, Saumya Chaturvedi, Priyank Kumar Singh. © 2024. 15 pages.
The growing adoption of artificial intelligence (AI) in the retail industry has triggered a significant evolution in the shopping experience. However, concerns have surfaced...
AI-Driven Data Integration to Transform Epidemiology
AI-Driven Data Integration to Transform Epidemiology
Shashank Mittal, Priyank Kumar Kumar Singh, Saikat Gochhait, Shubham Kumar. © 2024. 16 pages.
AI is rapidly transforming the field of epidemiology. This chapter explores how AI integrates data analysis, predictive modeling, disease surveillance, and diagnostic tools to...
AI-Powered Clinical Trial Design With Translational Bioinformatics
AI-Powered Clinical Trial Design With Translational Bioinformatics
Shashank Mittal, Priyank Kumar Singh, Saikat Gochhait, Nisha Gaur, Shubham Kumar. © 2024. 16 pages.
Clinical trial design is undergoing a revolution fueled by artificial intelligence (AI) and translational bioinformatics. This chapter explores how AI techniques like machine...
Leveraging Artificial Intelligence (AI) Prediction and Green Computing for Health Insights
Leveraging Artificial Intelligence (AI) Prediction and Green Computing for Health Insights
Priyank Kumar Singh, Mohit Yadav, Saikat Gochhait, P. G. S. Amila Jayarathne. © 2024. 18 pages.
In this chapter, the authors aim to discuss the significance of integrating AI prediction and green computing in the healthcare field to improve disease diagnosis, treatment, and...
Leveraging Green AI and Big Data Informatics for Personalized Disease Prediction in Clinical Decision Making
Leveraging Green AI and Big Data Informatics for Personalized Disease Prediction in Clinical Decision Making
Mohit Yadav, Priyank Kumar Singh, Saikat Gochhait, Nisha Gaur, Puwakpitiyage Gayan Dhanushka Wijethilaka. © 2024. 22 pages.
This chapter explores the potential of green AI and big data informatics for personalized disease prediction in clinical decision making. Green AI prioritizes efficiency...
Explainable AI (XAI) for Green AI-Powered Disease Prognosis
Explainable AI (XAI) for Green AI-Powered Disease Prognosis
Shashank Mittal, Priyank Kumar Singh, Saikat Gochhait, Shubham Kumar. © 2024. 20 pages.
Accurate disease prognosis is crucial for improved healthcare outcomes. Artificial intelligence (AI) offers immense potential in this domain, but traditional “black-box” models...
Green Infrastructure for Secure and Scalable AI-Powered Prognosis Systems
Green Infrastructure for Secure and Scalable AI-Powered Prognosis Systems
Priyank Kumar Singh, Mohit Yadav, Saikat Gochhait, Puwakpitiyage Gayan Dhanushka Wijethilaka. © 2024. 22 pages.
The burgeoning field of AI-powered healthcare prognosis offers immense potential, but traditional data center infrastructure creates a significant environmental footprint. This...