Anurag Kulshrestha

Overview

Dr. Anurag Kulshrestha is an Assistant Professor in the Information Systems and Analytics area at IIM Bodh Gaya. He holds a Ph.D. in Management from the Indian Institute of Management Kashipur, with a specialization in IT & Systems. His research interests include deep learning, explainable AI (XAI), forecasting, and service improvement, particularly in the domains of healthcare and tourism. His research has been published in reputed international journals such as Journal of Forecasting and Annals of Tourism Research. He actively explores how data-driven approaches can support effective decision-making and enhance service delivery. In addition to his academic engagements, he has contributed to executive education and conducted Management Development Programs (MDPs) for officers from the Comptroller and Auditor General (CAG) of India, focusing on data analytics and visualization for public auditing and governance.

Academic Background

Fellow, India Institute of Management Kashipur (IT & Systems)
M.Tech. (IT) - Indian Institute of Information Technology Allahabad
B.Pharm – Uttar Pradesh Technical University, Lucknow

Affiliations:

Assistant Professor, Indian Institute of Management Bodh Gaya (July 2025 - Present)
Assistant Professor, O. P. Jindal Global University, Sonipat (March 2025- June 2025)
Lecturer, O. P. Jindal Global University, Sonipat (August 2023 - February 2025)

Teaching Interests:

Data Visualization
Business Analytics
Programming with R & Python

Research Interests:

Application of AI/ML in business
Natural Language Processing
Time series forecasting

Research Publications:

Kulshrestha A., Yadav A., Sharma H. and Suman S. (2024). A deep learning-based multivariate decomposition and ensemble framework for container throughput forecasting. Journal of Forecasting, 43(7), pp. 2685-2704. https://doi.org/10.1002/for.3151 (ABDC A, IF: 3.4)
Suman S. and Kulshrestha A. (2024). Characterization of cellular heterogeneity in recurrent pediatric glioblastoma: Machine learning-enhanced single-cell RNA-Seq unveils regulatory signatures. Human Gene, 41, 201300. https://doi.org/10.1016/j.humgen.2024.201300 (IF: 0.5)
Suman S. and Kulshrestha A. (2024). Integrative approach: Advancing endometrial cancer biomarkers through machine learning and network-derived RNA-Seq screening. Human Gene, 39, 201257. https://doi.org/10.1016/j.humgen.2024.201257 (IF: 0.5)
Kulshrestha A., Krishnaswamy V., and Sharma M. (2023). A deep learning model for online doctor rating prediction. Journal of Forecasting, 42(5), pp. 1245-1260. https://doi.org/10.1002/for.2953 (ABDC A, IF: 3.4)
Kulshrestha A., Krishnaswamy V. and Sharma M. (2020). Bayesian BILSTM approach for tourism demand forecasting. Annals of Tourism Research, 83, 102925. https://doi.org/10.1016/j.annals.2020.102925 (ABDC A*, IF: 10.4)
Sharma A. K., Bhatia A. K., Kulshrestha A. and Sawhney I. K. (2021). Intelligent Modeling of Moisture Sorption Isotherms in Indian Milk Products Using Computational Neuro-genetic Algorithm. SN Computer Science, 2, 289. https://doi.org/10.1007/s42979-021-00693-7 (Scopus Indexed)
Kulshrestha A. and Suman S. (2018). Common module analysis reveals prospective targets and mechanisms of pediatric adrenocortical adenoma and carcinoma. Oncology Letters, 15(3), pp. 3267-3272. https://doi.org/10.3892/ol.2017.7646 (IF: 2.5)
Kulshrestha A., Kulshrestha A. and Suman S. (2017). A hybrid intelligent model for tourism demand forecasting. Acta Turistica, 29(2), pp. 157-179. https://doi.org/10.22598/at/2017.29.2.157 (ABDC C, IF: 0.4)
Suman S., Mishra A. and Kulshrestha A. (2017). A systems approach for the elucidation of crucial genes and network constituents of cervical intraepithelial neoplasia 1 (CIN1). Molecular BioSystems, 13(3), pp. 549-555. https:/doi.org/10.1039/C6MB00615A (IF: 3.0)
Kulshrestha A., Suman S. and Ranjan R. (2016). Network analysis reveals potential markers for pediatric adrenocortical carcinoma. OncoTargets and Therapy, 9, pp. 4569-4581. https://doi.org/10.2147/OTT.S108485 (IF:2.7)

Conference Presentations:

Sharma A. K., Bhatia A. K., Kulshrestha A., and Sawhney I. K. (2020, 07-15 February). Neurogenetic Modeling of Moisture Sorption Isotherms in Dried Acid Casein. In 2020 Indo - Taiwan 2nd International Conference on Computing, Analytics and Networks, (Indo-Taiwan ICAN), pp. 5-8, Rajpura, Punjab, India. https://doi.org/10.1109/Indo-TaiwanICAN48429.2020.9181318
Suman S., Mishra A., and Kulshrestha A. (2016, 05-07 October). Integrated analysis of microRNA regulation of genes in HSIL. In 2016 IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), pp. 1-6, Chiang Mai, Thailand. https://doi.org/10.1109/CIBCB.2016.7758132