Dr Anupam Singh is a Lecturer of Marketing Analytics and Data Science at the Adam Smith Business School, University of Glasgow. Prior to joining the University of Glasgow, he was at the University of Stirling as a Lecturer of Digital Marketing & Analytics and previously worked at the Nicolaus Copernicus University, Poland. He earned a Ph.D. from the National Institute of Technology (NIT), Bhopal, India. He is a recipient of a prestigious junior research fellowship (JRF) and Senior Research Fellowship (SRF) award from the University Grant Commission (UGC), New Delhi, India. He also received a Faculty Research Fellowship from the Indian Institute of Technology (IIT), Delhi, India.

Dr Singh engages in multidisciplinary research, with current interests spanning the following areas: GenAI, Machine Learning, Text Mining, Algorithmic Consumption, Data-Driven Marketing, and Sustainability Analytics and Modeling.

Computational Proficiency

• Artificial Intelligence: Machine Learning, Deep Learning, Natural Language Processing (NLP)
• Programming Languages: C++, R, Python, Ruby, Scala
• Query Languages: SQL/MySQL
• Statistics: Probability Distributions, Bayesian Models, Applied Linear Regression Models, Discrete Choice Modeling, Fuzzy Logic, Stochastic Process
• Network Visualization: Social Network Analysis, Geospatial Analysis & Map Visualization
• Mathematical & Statistical Software: MATLAB, Maple, Stata, SPSS Amos, SmartPLS
• Visualization/Graphics Software: Tableau, Gephi, Adobe Creative Suite

Dr Anupam Singh is a researcher specializing in algorithmic consumption within digital environments. His research focuses on understanding how algorithms influence behavior, decision-making processes, and consumption patterns in the digital realm.

Adopting a multidisciplinary approach, Dr Singh integrates theories and methodologies from fields such as computer science, consumer behavior/marketing, and mathematics. He explores the mechanisms through which algorithms shape consumer preferences and influence choices in online environments. By investigating algorithms and their impact on decision-making, Dr Singh offers valuable insights into the evolving nature of consumer behavior in the digital age.

Another key area of his research involves applying big data and machine learning techniques to analyze the motivations and barriers to sustainable consumption. His work seeks to answer how individuals’ pro-social and pro-environmental behavior can contribute to making our planet more resilient and sustainable.

His current research interests can be summarized by the following keywords:

• Data-Driven Marketing
• Generative Artificial Intelligence (GenAI)
• Machine Learning
• Text Mining
• Algorithmic Consumption
• Sustainability Analytics and Modeling

Dr Singh is open to collaborating on Ph.D. and postdoctoral research in the areas outlined above.

Prior publications

Dr Singh actively engages in multidisciplinary research, leveraging cutting-edge methodologies and innovative approaches to address complex challenges at the intersection of business and technology. 

Dr Singh welcomes collaboration on PhD and Postdoctoral research projects aligned with these research areas. Prospective students and researchers interested in working at the intersection of technology, data science, and business (marketing) applications are encouraged to explore potential collaborations with him. His interdisciplinary approach combines elements of computer science, marketing, and sustainability, offering a rich environment for innovative research. Dr Singh's expertise in these fields provides an excellent foundation for guiding research projects that address contemporary challenges in the digital age.

Marketing Analytics;

Python programming;

Data Management and Engineering; 

AI & Machine Learning

ACADEMIC SERVICES:

Editorial board

• PlosOne

Reviewer

• Journal of big data
• Journal of business research
• Nature climate change
• Review of managerial science

MEMBERSHIPS

• Fellow of the UK Higher Education Academy
• The Asia Computational Intelligence Society (ACIS), Hong Kong, China

SELECTED AWARDS:

• Awarded "Teacher of the Year" 2024 (Runner-up) for excellence in teaching at the University of Stirling.
• Received a Faculty Research Fellowship from the Indian Institute of Technology (IIT), Delhi, India (July 2020).
• Received a Senior Research Fellowship (SRF) award from the University Grants Commission, India (2015–2017).
• Received a Junior Research Fellowship (NET-JRF) award from the University Grants Commission (UGC), India (2013–2015).