Professeur assistant

Doctorat en analyse commerciale et systèmes d'information

Operations, Data & Artificial Intelligence (ODAI) for business

Thèmes de recherche

1. Science des données

2. Analyse prédictive

3. Prétraitement des données volumineuses

4. Intelligence artificielle

5. Machine Learning

6. Gouvernance des données

7. Publicité et marketing numériques

Prix et récompenses

Offres d'emploi postdoctorales
Harvard Business School & MIT
Nomination à un poste de professeur auxiliaire
Columbia University in the city of New York
Chercheur invité
New York University, New York



  • Association for Information Systems (AIS)

Communications et Séminaires

  • Kumar, A., Shankar, R., & Aljohani, N. (2019). A big data driven framework for demanddriven forecasting with effects of marketing-mix variables. Industrial Marketing Management. https://doi.org/10.1016/j.indmarman.2019.05.003
  • Kumar, A., Shankar, R., & Thakur, LS. (2018). A big data driven sustainable manufacturing framework for condition-based manufactuting framework. Journal of Computational Science. https://doi.org/10.1016/j.jocs.2017.06.006
  • Kumar, A., Shankar, R. (2017). A Big Data Driven Framework for Optimizing the ROI Marketing Mix Using Fuzzy Neural Neural Network, INFORMS Annual Meeting 2017, Houston, USA.
  • Kumar, A. , R. Shankar , A. Choudhary , and L. S. Thakur . 2016. “A Big Data MapReduce Framework for Fault Diagnosis in Cloud-based Manufacturing.” International Journal of Production Research 54 (23): 7060–7073. https://doi.org/10.1080/00207543.2016.1153166
  • Kumar, A., Shankar, R. (2015). A MapReduce Framework for Churning Prediction by Managing Data in Telecom Sector, INFORMS Annual Meeting 2015, Philadelphia, USA.
  • Kumar, A., Shankar, R., Debnath, R.M., 2015. Analyzing customer preference and measuring relative efficiency in telecom sector: a hybrid fuzzy AHP/DEA study. Telematics and Informatics 32 (3), 447-462. https://doi.org/10.1016/j.tele.2014.10.003
  • Kumar, A., Shankar, R. & Debnath, RM.(2014). Framework for Identifying Like-Minded Communities for Measuring Satisfaction Using Big Data Analytics, The Second ASE International Conference on Big Data Science and Computing, Stanford University (USA) on May 27-31, 2014