Dr Anupam Singh is a Lecturer in Marketing Analytics and Data Science at the Adam Smith Business School, University of Glasgow. Before joining Glasgow, he worked at the University of Stirling, UK. He holds a Ph.D. from the National Institute of Technology (NIT), Bhopal, India, and has been awarded prestigious research fellowships and awards, including the UGC-JRF from the University Grants Commission (UGC), New Delhi, India, as well as a Faculty Research Fellowship from the Indian Institute of Technology (IIT) Delhi.

Dr Singh’s research applies AI, machine learning, and mathematical modelling to understand consumer behaviour in digital environments. He uses computational methods to examine how consumers search for and consume information, and how information shapes their choices. He also consults firms and policymaking organisations, helping them leverage untapped data to build AI-driven models for evidence-based decision-making.

His recent work focuses on advanced mathematical and computational techniques to model infodemics—the large-scale spread of misleading or manipulative content (both human- and AI-generated)—by analysing information flows through networks and their consequences for markets and society.

With his expertise in building AI-driven decision systems, including agentic pipelines, autonomous AI agents, large language model (LLM) based text mining, and image mining, he contributes to multidisciplinary projects that translate advanced analytics into practical solutions for real-world problems —for example, developing autonomous AI agents for urban transportation decision support, planning, and service optimisation, as well as designing data-driven methods to inform housing actions aimed at preventing homelessness. 

Alongside his research, Dr Singh has been recognised for teaching excellence, most recently receiving the Best Teacher Award at the University of Glasgow in 2026 and the Teacher of the Year Award at the University of Stirling in 2024. These honours reflect his commitment to evidence-based, industry-relevant education.

Industry and Public-Sector Collaboration

Dr Singh is particularly interested in supporting organisations and collaborating on research in the following domains:

Democratising AI by developing accessible, low-cost capabilities for SMEs and non-tech organisations to support competitiveness and sustainable growth.

AI and data science for marketing performance, customer behaviour, and societal trends.

Helping public-sector orgnizations and government to adopt and implement AI-driven data analytics—unlocking untapped data to improve services and understand information consumption and its societal impact.

Computational Proficiency

• Artificial Intelligence: Machine Learning, Deep Learning, Large Language Models (LLMs)
• Data Mining: Text Mining, Image Mining
• Big Data Analytics: Cloud Computing, Network Analysis, Geospatial Analysis
• Programming Languages: Python, R, C++, Scala, Ruby

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

• Consumer Behaviour Modeling
• AI & Machine Learning
• Text Mining (NLP)
• Image Mining
• Algorithmic Consumption
• Data-Driven Marketing
• Digital Information Ecosystems and Infodemics
• Sustainability Analytics and Modeling
• Responsible AI and Societal Impact

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

List by: Type | Date

Prior publications

Dr Singh welcomes collaboration on PhD and postdoctoral research projects. Prospective students and researchers with a strong background in mathematics and computing who are interested in working at the intersection of technology, data science, and consumer behaviour (marketing) applications are encouraged to reach out. 

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
• IEEE Transactions on Engineering Management

MEMBERSHIPS

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

SELECTED AWARDS:

• Won the Best Teacher Award at the University of Glasgow (2026).
• Awarded Teacher of the Year (runner-up) at the University of Stirling (2024) for excellence in teaching.
• Received a Faculty Research Fellowship from the Indian Institute of Technology (IIT) Delhi, India (July 2020).
• Received a Senior Research Fellowship (SRF) from the University Grants Commission (UGC), India (2015–2017).
• Received a Junior Research Fellowship (NET-JRF) from the University Grants Commission (UGC), India (2013–2015).