Dr Anupam Singh
- Lecturer in Marketing Analytics and Data Science (Management)
Biography
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 was a Lecturer in Digital Marketing & Analytics at the University of Stirling and previously worked at Nicolaus Copernicus University, Poland. He holds a Ph.D. from the National Institute of Technology (NIT), Bhopal, India, and has been awarded prestigious Junior Research Fellowship (JRF) and Senior Research Fellowship (SRF) awards 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 integrates AI, machine learning, and mathematical modelling to understand consumer behaviour in digital environments. He applies computational methods to examine how consumers search for and consume information, how information shapes their choices, and how firms should design information provision strategies and make informed decisions.
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.
Dr Singh also has expertise in building AI-driven decision systems, including agentic pipelines and autonomous AI agents that translate complex data into operational recommendations. He contributes to multidisciplinary projects that apply advanced analytics to real-world problems—for example, developing autonomous AI agents for urban transportation decision support and designing algorithms to support housing decisions and allocation for vulnerable populations.
Alongside his research, Dr Singh has been recognised for teaching excellence, including receiving the Teacher of the Year Award at the University of Stirling (2024), reflecting 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.
Consultancy for public-sector organisations 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, 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
Research interests
His current research interests can be summarized by the following keywords:
- Data-Driven Marketing
- Consumer Behaviour Modeling
- AI & Machine Learning
- Text Mining (NLP)
- Algorithmic Consumption
- 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.
Publications
Prior publications
Article
(2019) The impact of corporate social responsibility on brand equity of Indian firms International Journal of Business Innovation and Research Anupam Singh. ISSN 1751-0260 (doi: 10.1504/ijbir.2019.101689)
Anupam Singh, Priyanka Verma (2017) Factors influencing Indian consumers' actual buying behaviour towards organic food products Journal of Cleaner Production Crossref Metadata Search. ISSN 0959-6526 (doi: 10.1016/j.jclepro.2017.08.106)
Anupam Singh, Priyanka Verma (2017) Driving Brand Value Through CSR Initiatives: An Empirical Study in Indian Perspective Global Business Review Crossref Metadata Search. ISSN 0972-1509 (doi: 10.1177/0972150917713270)
Anupam Singh, Priyanka Verma (2017) How CSR Affects Brand Equity of Indian Firms? Global Business Review Crossref Metadata Search. ISSN 0972-1509 (doi: 10.1177/0972150917693149)
Priyanka Verma, Anupam Singh (2016) Fostering Stakeholders Trust through CSR Reporting: An Analytical Focus IIM Kozhikode Society & Management Review Crossref Metadata Search. ISSN 2277-9752 (doi: 10.1177/2277975215618473)
Supervision
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.
Teaching
Marketing Analytics;
Python programming;
Data Management and Engineering;
AI & Machine Learning
Additional information
ACADEMIC SERVICES:
Editorial board
- PlosOne
Ad Hoc/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 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).
