Ajay KUMAR
Assistant Professor
Research topics
1. Data Science
2. Predictive Analytics
3. Big data pre-processing
4. Artificial Intelligence
5. Machine Learning
6. Data Governance
7. Digital Advertising and Marketing
Prices and awards
Publications
Biswas, Baidyanath, Mukhopadhyay, Arunabha, Bhattacharjee, Sudip, Kumar, Ajay, Delen, Dursun. 2022. A text-mining based cyber-risk assessment and mitigation framework for critical analysis of online hacker forums. Decision Support Systems, 152 : 13 p.
Schiavone, Francesco, Leone, Daniele, Caporuscio, Andrea, Kumar, Ajay. 2021. Revealing the role of intellectual capital in digitalized health networks: A meso‑level analysis for building and monitoring a KPI dashboard. Technological Forecasting and Social Change, FORTH
Xiong, Yangchun, Lam, Hugo K. S., Kumar, Ajay, Ngai, Eric W. T., Xiu, Chunyu, Wang, Xinyue. 2021. The mitigating role of blockchain-enabled supply chains during the COVID-19 pandemic. International Journal of Operations & Production Management, 41 (9) : 1495-1521 p.
Gupta, Shivam, Justy, Théo, Kamboj, Shampy, Kumar, Ajay, Kristoffersen, Eivind. 2021. Big data and firm marketing performance: Findings from knowledge-based view. Technological Forecasting & Social Change, 171
Eachempati, Prajwal, Srivastava, Praveen Ranjan, Kumar, Ajay, Tan, Kim Hua, Gupta, Shivam. 2021. Validating the impact of accounting disclosures on stock market: A deep neural network approach. Technological Forecasting & Social Change, 170 : 14 p.
Ali, Mohd Helmi, Chung, Leanne, Kumar, Ajay, Zailani, Suhaiza, Tan, Kim Hua. 2021. A sustainable Blockchain framework for the halal food supply chain: Lessons from Malaysia. Technological Forecasting & Social Change, 170 : 14 p.
Srivastava, Praveen Ranjan, Sengupta, Kinshuk, Kumar, Ajay, Biswas, Baidyanath, Ishizaka, Alessio. 2021. Post-epidemic factors influencing customer's booking intent for a hotel or leisure spot: an empirical study. Journal of Enterprise Information Management, FORTH
Qayyum, Abdul, Razzak, Imran, Tanveer, M., Kumar, Ajay. 2021. Depth-wise dense neural network for automatic COVID19 infection detection and diagnosis. Annals of Operations Research, FORTH
Sharma, Satyendra Kumar, Srivastava, Praveen Ranjan, Kumar, Ajay, Jindal, Anil, Gupta, Shivam. 2021. Supply chain vulnerability assessment for manufacturing industry. Annals of Operations Research, FORTH
Seera, Manjeevan, Lim, Chee Peng, Kumar, Ajay, Dhamotharan, Lalitha, Tan, Kim Hua. 2021. An intelligent payment card fraud detection system. Annals of Operations Research, FORTH
Kumar, Ajay, Choi, Tsan-Ming, Fosso Wamba, Samuel, Gupta, Shivam, Tan, Kim Hua. 2021. Infection vulnerability stratification risk modelling of COVID-19 data: a deterministic SEIR epidemic model analysis. Annals of Operations Research, FORTH
Zhan, Yuanzhu, Chung, Leanne, Lim, Ming K., Ye, Fei, Kumar, Ajay, Tan, Kim Hua. 2021. The Impact of Sustainability on Supplier Selection: A behavioural study. International Journal of Production Economics, 236 : 12 p.
Yan, Yuwei, Ma, Xiaomeng, Song, Yi, Kumar, Ajay, Yang, Ruixian. 2021. Exploring the interaction and choice behavior of organization and individuals in the crowd logistics. Annals of Operations Research, FORTH
Bag, Surajit, Gupta, Shivam, Kumar, Ajay, Sivarajah, Uthayasankar. 2021. An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision making for improving firm performance. Industrial Marketing Management, 92 : 178-189 p.
Kumar, Ajay, Shankar, Ravi, Aljohani, Naif Radi. 2020. A big data driven framework for demand-driven forecasting with effects of marketing-mix variables. Industrial Marketing Management, 90 : 493-507 p.
Kumar, Ajay, Shankar, Ravi, Thakur, Lakshman S. 2018. A big data driven sustainable manufacturing framework for condition-based maintenance prediction. Journal of Computational Science, 27 : 428-439 p.
Kumar, Ajay, Shankar, Ravi, Choudhary, Alok, Thakur, Lakshman S. 2016. A big data MapReduce framework for fault diagnosis in cloud-based manufacturing. International Journal of Production Research, 54 (23) : 7060-7073 p.
Kumar, Ajay, Shankar, Ravi, Debnath, Roma Mitra. 2015. Analyzing customer preference and measuring relative efficiency in telecom sector: A hybrid fuzzy AHP/DEA study. Telematics and Informatics, 32 (3) : 447-462 p.
Academic articles
Associations
- INFORMS
- Association for Information Systems (AIS)
Communications & Seminars
- Ajay Kumar, Ravi Shankar, A Big Data Driven Framework for Optimizing the Marketing Mix ROI using Fuzzy Neural Neural Network, INFORMS Annual Meeting 2017, Houston, USA.
- Ajay Kumar, Ravi Shankar, A MapReduce framework for churn prediction by managing data imbalance problem in telecom sector, INFORMS Annual Meeting 2015, Philadelphia, USA.
- Ajay Kumar, Ravi Shankar, Roma Mitra Debnath, Framework for identifying like-Minded communities for measuring satisfaction utilizing Big Data Analytics, The Second ASE International Conference on Big Data Science & Computing , Stanford University (USA) on May 27-31 , 2014.