Dr Anupam Singh

I am a lecturer in Digital Marketing and Analytics. Prior to joining the University of Stirling, I was working with Nicolaus Copernicus University, Poland. I earned a Ph.D. from the National Institute of Technology (NIT), Bhopal, India. I am a recipient of a prestigious junior research fellowship (JRF) and Senior Research Fellowship (SRF) award from the University Grant Commission (UGC), New Delhi, India. Also, I received a Faculty Research Fellowship from the Indian Institute of Technology (IIT), Delhi, India.

I am a researcher specializing in algorithmic consumption in digital environments. My research focuses on understanding how algorithms influence behavior, decision-making processes, and consumption patterns in the digital realm.

With a multidisciplinary approach, I integrate theories and methodologies from fields such as computer science, consumer behavior, and marketing. I aim to explore the mechanisms through which algorithms shape consumer preferences and influence choices in online environments. By investigating the algorithms and their impact on decision-making, I provide valuable insights into the evolving nature of consumer behavior in the digital age.

COMPUTATIONAL PROFICIENCY

1. Artificial Intelligence: Machine Learning, Deep Learning, Natural Language Processing (NLP)
2. Programming Languages: C++, R, Python, Ruby, Scala
3. Query languages: SQL/ MySQL
4. Statistics: Probability Distributions, Bayesian Models, Applied Linear Regression Models, Discrete Choice Modeling, Fuzzy logic, Stochastic Process
5. Network visualization: Social Network Analysis, Geospatial Analysis & Map Visualization
6. Mathematical & statistical software: MATLAB, Maple, Stata, SPSS Amos, SmartPLS
7. Visualization/graphics software: Tableau, Gephi, Adobe Creative Suite

I am a researcher specializing in algorithmic consumption in digital environments. My research focuses on understanding how algorithms influence behavior, decision-making processes, and consumption patterns in the digital realm.

One aspect of my research focuses on understanding how artificial intelligence (AI) and Machine Learning (ML) algorithms can be utilized to analyze large volumes of consumer data to uncover patterns, trends, and insights that can inform targeted marketing strategies and improve the overall customer journey. Furthermore, I am intrigued by the potential of AI and ML in developing intelligent recommendation systems. These systems have the capability to offer personalized product recommendations, content suggestions, and promotional offers to individual consumers based on their preferences and interests.

Another aspect of my research focuses on the application of big data and machine learning techniques to analyze the motivations and barriers to sustainable consumption. My research attempts to answer how individuals’ pro-social and pro-environmental behaviour can make our planet more resilient and sustainable.

Digital Marketing & Data Technologies; Marketing Analytics; Text mining; AI & Machine Learning