R. K. Jana, Indranil Ghosh and Debojyoti Das (2021). A Differential evolution-based regression framework for forecasting Bitcoin price. Annals of Operations Research, DOI: 10.1007/s10479-021-04000-8. (SCI/SCOPUS/ABDC (A) Indexed Springer Journal) (Impact Factor 2.583).
Indranil Ghosh, Manas K. Sanyal and R. K. Jana (2020). Co-movement and Dynamic Correlation of Financial and Energy Markets: An Integrated Framework of Nonlinear Dynamics, Wavelet Analysis and DCC-GARCH. Computational Economics, 57, 503-527. (SCI/SCOPUS/ABDC (B) Indexed Springer Journal) (Impact Factor 1.317).
R.K. Jana, Indranil Ghosh and Manas K. Sanyal (2020). A Granular Deep Learning Approach for Predicting Energy Consumption. Applied Soft Computing, 89, 106091. (SCI/SCOPUS/ ABDC (C) Indexed Elsevier Journal) (Impact Factor 5.472).
Protik Basu, Debaleena Chatterjee, Indranil Ghosh and Pranab K. Dan (2020). Lean manufacturing implementation and performance: The role of economic volatility in an emerging economy. Journal of Manufacturing Technology Management, https://doi.org/10.1108/JMTM-12-2019-0455. (SCOPUS/ABDC (B) Indexed Emerald Journal) (Impact Factor 3.385).
Indranil Ghosh, R. K. Jana and Manas K. Sanyal (2019). Analysis of temporal pattern, causal interaction and predictive modeling of financial markets using nonlinear dynamics, econometric models and machine learning algorithms. Applied Soft Computing, 82, 105553. (SCI/SCOPUS/ABDC (C) Indexed Elsevier Journal) (Impact Factor 5.472).
Indranil Ghosh, Manas K. Sanyal, R. K. Jana (2018). An Integrated Approach Incorporating Nonlinear Dynamics and Machine Learning for Predictive Analytics and Delving Causal Interaction. In: Bhateja V., Coello Coello C., Satapathy S., Pattnaik P. (eds) Intelligent Engineering Informatics. Advances in Intelligent Systems and Computing, vol 695. Springer, Singapore. (SCOPUS/ESCI Indexed Springer Publication).
Indranil Ghosh and Manas K. Sanyal (2021). Hierarchical Frameworks of Transfer Learning, Unsupervised Text Modelling and Ensemble Machine Learning for Predictive Analytics of Airbnb Rental Pricing. Management Doctoral Colloquium, Organized by Vinod Gupta School of Management, Indian Institute of Technology Kharagpur, India. (Received Best Paper Award).
Tamal Datta Chaudhuri and Indranil Ghosh (2021). What Drives Futures Markets in India? A Quest in Pre COVID and COVID Regime. 9th International Workshop on Multiple Criteria Decision Making, University of Economics in Katowice, Poland.
Indranil Ghosh, Manas K. Sanyal and R. K. Jana (2020). An Ensemble of Ensembles Framework for Predictive Analytics of Commodity Market. IEEE 4th International on Computational Intelligence and Networks (CINE 2020) (Held on 27-29 February, 2020 Indian Statistical Institute, Kolkata, India).
Indranil Ghosh and Tamal Datta Chaudhuri (2019). Wavelet Decomposition Approach for Understanding Time Varying Relationship of Financial Sector Variables: A Study of the Indian Stock Market. 2nd International Conference on Frontiers of Operations Research & Business Studies (FORBS 2019) (Dec. 27-28, 2019), Calcutta Business School, India.
Indranil Ghosh and Tamal Datta Chaudhuri (2018). A Deep Learning Framework for Predicting the Exchange Rate Using Relative Returns, Volatility Measures and Technical Indicators. 11th Triennial International Conference of the Association of Asia Pacific Operational Research Societies (APORS), Kathmandu, Nepal.
Conducted an Online Two Weeks Certification Course on Financial Analytics during July 4-18, 2020 at Calcutta Business School. (Total Duration: 18 Hours).
Conducted a One-Day workshop on Research Methodology: Applications in Finance in July 19, 2019 at Calcutta Business School. (Total Duration: 6 Hours).
Conducted a Two-Day workshop on Empirical Research in Finance in July 27-28, 2018 at Calcutta Business School. (Total Duration: 12 Hours).
Indranil Ghosh has completed his Ph.D in the area of Artificial Intelligence based Modelling of Complex Market and Financial Variables. He obtained his bachelor and master degree in Information Technology, and Industrial Engineering & Management respectively. He qualified in GATE 2009 in Computer Science & Engineering discipline. He started his professional career in the capacity of Systems Engineer at Infosys Limited. Subsequently, he worked at Indian Statistical Institute, Kolkata as project researcher. He served as Assistant Professor at Calcutta Business School in the allied areas of Systems, Operations, & Analytics prior to joining IMT Hyderabad.