Information Systems and Analytics

Pradeep Kumar Dadabada

Assistant Professor Ph.D, IDRBT,University of Hyderabad

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Email :pkd@iimshillong.ac.in

Office Ph.: +91 364 2308027

Research Interests/ Areas

Data Science, Financial Analytics, Sustainability, Optimization, Time series Prediction

Teaching Interest / Areas

Information Systems & Analytics

  • Ph.D. (CS), Institute for Development and Research in Banking Technology (IDRBT), Hyderabad, Telangana /University of Hyderabad, Hyderabad, Telangana,2018
  • M.Tech (CSE), RVR&JC College of Engineering, Guntur, Andhra Pradesh /Acharya Nagarjuna University, Guntur, Andhra Pradesh,2008
  • M.C.A, College of Science, GITAM, Visakha Patnam , Andhra Pradesh/Andhra Univesrity, Andhra Pradesh,2005
  • Sr. Data Scientist, Innominds Software SEZ Pvt. Ltd, Hyderabad during April 2018 – May 2019.
  • Senior ML Scientist, Phenom People Pvt. Ltd., Hyderabad during October 2017 – November 2017
  • Research Scientist- Data Science, FinMee Technologies (Ntwist) Pvt. Ltd., Hyderabad during February 2017 – June 2017
  • Research Fellow, Institute for Development and Research in Banking Technology, Hyderabad during January 2012 – January 2017
  • Lecturer, R.V.R.& J.C. College of Engineering (autonomous), Chowdavaram, Guntur during August 2008 – January 2012

Research Interests

  • Data/Business Analytics, Time Series Forecasting, Machine Learning, Evolutionary Computation, Deep Learning, Natural Language Processing, Computer Vision.

Ph.D. Thesis title

  • Financial Time Series Prediction using Soft Computing Hybrids


  • Pradeepkumar, D. and Ravi, V.,” Forecasting Financial time series volatility using Particle Swarm Optimization trained Quantile Regression Neural Network”, Applied Soft Computing, Elsevier (IF=3.907), Vol. 58, 2017, pp. 35-52. http://www.sciencedirect.com/science/article/pii/S1568494617301862 (Indexed by Scopus/SCIE), ABDC-C (2019 ratings)
  • Ravi, V., Pradeepkumar, D., and Deb, K.,”Financial time series prediction using hybrids of chaos theory, multi-layer perceptron and multi-objective evolutionary algorithms” Swarm and Evolutionary Computation, Elsevier (IF=3.818), Vol. 36, 2017, pp. 136-149. (Indexed by Scopus/SCIE)http://www.sciencedirect.com/science/article/pii/S2210650217300822
  • Pradeepkumar, D. and Ravi, V.,”Soft Computing Hybrids for FOREX Rate Prediction: A Comprehensive Review”, Computers and Operations Research, Elsevier (IF=2.962), Vol. 99, 2018, pp. 262-284. https://www.sciencedirect.com/science/article/pii/S0305054818301436 (Indexed by Scopus/SCIE), ABDC-A (2019 ratings)
  • Pradeepkumar, D. and Ravi, V.,” Financial Time Series Prediction: an approach using Motif information and Neural Networks “, International Journal of Data Science, Inderscience, (Article in Press)


  • Dadabada, Pradeep Kumar (2021). Particle Swarm Optimization: The Foundation.  International Series in Operations Research & Management Science, in: Burcu Adıgüzel Mercangöz (ed.), Applying Particle Swarm Optimization, chapter 0, pp 97-110.
  • Dadabada, Pradeep Kumar (2021).  A Review of Impact of COVID-19 on Economic Sustainability: An Exploratory Data Analysis and 3R Approach, The Empirical Economics Letters 20(8)
  • Dadabada, Pradeep Kumar (2022).  Impact of COVID-19 on Society from Lens of Sustainable Development Goals, The Empirical Economics Letters 20(9):1659-1677
  • Dadabada, Pradeep Kumar (2022).  A Review of impact of COVID-19 on Environment from Lens of Sustainable Development Goals, International Journal of Innovation and Sustainable Development DOI: 10.1504/IJISD.2021.10043427

Conference papers

  • Pradeepkumar, D. and Ravi, V.,”FOREX Rate Prediction using Chaos, Neural Network and Particle Swarm Optimization” ICSI-2014, Hefei, China, Part II, LNCS 8795, 363{375, 2014. (Indexed by EI, ISTP, DBLP, ISI and Springerlink) https://link.springer.com/chapter/10.1007/978-3-319-11897-0_42 .
  • Pradeepkumar, D., Bhunwal, M., and Ravi, V.,”A Novel Hybrid Algorithm for discovering motifs from _nancial time series”, SEMCCO-2014, Odisha, India, LNCS 8947, 201{211, 2015.(Indexed by SCOPUS, DBLP, ACM Digital Library and Springerlink) https://link.springer.com/chapter/10.1007/978-3-319-20294-5_18
  • Pradeepkumar, D. and Ravi, V.,”FOREX Rate Prediction using Chaos Theory and Quantile Regression Random Forest” Proceedings of the 3rd IEEE International Conference on Recent Advances in Information Technology, RAIT-2016, 3-5 March 2016, Dhanbad, India, pp. 517-522, 2016. (Indexed by DBLP, and IEEE Explore). http://ieeexplore.ieee.org/document/7507954/
  • Pradeepkumar, D. and Ravi, V.,”FOREX Rate Prediction: a hybrid approach using Chaos Theory and Multivariate Adaptive Regression Splines” Proceedings of the 5th International Conference on Frontiers in Intelligent Computing Theory & Applications, FICTA-2016, 16-17 September 2016, Bhubaneswar, India, AISC 515, Springer, pp. 219-227 (Indexed by ISI Proceedings, EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink). https://link.springer.com/chapter/10.1007/978-981-10-3153-3_22
  • Trained nearly 50+ aspiring data scientists at institutes such as Imarticus Learning and Silicon Guru, Hyderabad.
  • Trained various bank managers and various levels of bank employees in customized programs in CRM & Analytics at IDRBT, Hyderabad.
  • Recognized as one of “The Top 10 most prominent data analytics and data science academicians 2019” by Analytics Magazine India
  • MHRD Fellowship for conducting research at IDRBT from January 2012- January 2017
  • UGC-NET (Lectureship) in December 2012
  • Best Active participant in MATLAB Workshop conducted by NITW in Aug 2013
  • AICTE fellowship for pursuing M.Tech (CSE) from August 2006- May 2008