Dr. V. Ravi

Professor
vravi(at)idrbt(dot)ac(dot)in

Professor Vadlamani Ravi is with the Institute for Development and Research in Banking Technology, Hyderabad since April 2005. He obtained his Ph.D. in the area of Soft Computing from Osmania University, Hyderabad and RWTH Aachen, Germany (2001); MS (Science and Technology) from BITS, Pilani (1991) and M.Sc. (Statistics & Operations Research) from IIT, Bombay (1987). At IDRBT, he spearheads the Center of Excellence in Analytics (CoEA)- renamed as Center for AI and ML- , first-of-its-kind in India and evangelizes Analytical CRM and Non-CRM related analytics in a big way by conducting advanced research and customized training programmes for bankers on OCRM & ACRM; Data Warehousing, Data and Text Mining, Big Data Analytics, Fraud Analytics, Financial Time Series Data Mining, Social Media Analytics, Credit Recovery Analytics, Business Analytics and conducting POC for banks etc. CoEA is renamed Analytics Lab recently.

He has more than 285 papers to his credit with the break-up of 106 papers in refereed International Journals and 135 papers in refereed International Conferences and the rest in refereed National Journals/ Conferences/arXiv submissions/invited book chapters and 4 edited books. He also edited three Books entitled (i) “Advances in Banking Technology and Management: Impacts of ICT and CRM” (http://www.igi-global.com/reference/details.asp?id=6995), published by IGI Global, USA, 2007 (ii) TWO volumes of Big Data Analytics published by IET along with Prof. Aswani Kuamr Cherukuri. Some of his research papers are listed in Top 25 Hottest Articles by Elsevier and World Scientific. He has an H-index of 49 and 13401 citations for his papers (http://scholar.google.co.in/). His profile was among the Top 10% Most Viewed Profiles in LiknkedIn in 2012. He has been in the list of Top 1.03% most cited in the AI & ML field released by a professor from Stanford University and Elsevier from 2020 to till date.

As a PI, he executed 2 extramural research projects (i) Developing Data Science Framework, Architecture and Methodology for fraud detection in ATM Transactions in banks funded by DST, India (approx. Rs 12 lakhs) jointly with C-DAC, Bangalore (ii) Adversarial Machine Learning for Banks  funded by Canara Bank, Bangalore, India, (approx. Rs. 14 lakhs).

So far, 8 Ph.D. students graduated under his supervision, 1 student submitted his thesis and 1 more is currently working towards Ph.D. So far, he advised more than 75 M.Tech./MCA/M.Sc projects and 50 Summer Interns from various IITs. He is recognized as a Ph.D. supervisor at Department of Computer and Information Sciences, University of Hyderabad, Department of Computer Science and Engineering, IIT Bombay, and Department of Computer Sciences, Berhampur University, Orissa.

He is an invited member in Marquis Who’s Who in the World, USA in 2009, 2015. He is also an invited member in 2000 Outstanding Intellectuals of the 21st Century 2009/2010- published by International Biographical Center, Cambridge, England, He is an Invited Member of “Top 100 Educators in 2009” published by International Biographical Centre, Cambridge, England.. He has been on the IT Advisory Committee of Canara Bank for their DWH, CRM and Analytics projects; IT Advisor for Indian Bank for their DWH and CRM project and Principal Consultant for Bank of India for their CRM project; Expert Committee Member for Andhra Bank for their Business Analytics; Expert Committee Member for IRDA for their Business Analytics and Fraud Analytics projects; Standing Committee member for Analytics in DoS, RBI; Member of ITAC and ITCB for NABARD; Expert Committee member for SEBI’s Analytics project.

He is a referee for 42 International Journals of repute. Moreover, he is an Associate Editor for the “Swarm and Evolutionary Computation Journal from ELSEVIER”; Associate Editor for the “Computers and Electrical Engineering Journal from ELSEVIER;  Founding Managing Editor for JBFT, of IDRBT; Associate Editor  for “International Journal of Information Systems in Service Sector” published by IGI Global, USA; “International Journal of Data Analysis Techniques and Strategies” published by Inderscience, Switzerland; International Journal of Information and Decision Sciences (IJIDS), Inderscience, Switzerland; International Journal of Strategic Decision Sciences (IJSDS), IGI Global, USA and International Journal of Information Technology Project Management (IJITPM), IGI Global, USA. International Journal of Data Science (IJDS), Inderscience, Switzerland; Editorial Board Member for Book Series in Banking, Inderscience Switzerland, He is on the PC for a few International Conferences and chaired many sessions in International Conferences in India and abroad.

His research interests include Fuzzy Computing, Neuro Computing, Soft Computing, Evolutionary Computing, Data Mining, Text Mining, Web Mining, Big Data Analytics, Privacy Preserving ML, Adversarial ML, Federated Learning, Explainable AI, Reinforcement Learning, Causal Inference, Global/Multi-Criteria/Combinatorial Optimization, Bankruptcy Prediction, Analytical Customer Relationship Management (CRM), Fraud and Cyber Fraud Analytics, Sentiment Analysis, Social Media Analytics, Financial Time Series Data Mining,  Churn Prediction in Banks and firms and Asset Liability Management through Optimization. In a career spanning 37 years, Prof. Ravi worked in several cross-disciplinary areas such as Financial Engineering, Software Engineering, Reliability Engineering, Chemical Engineering, Environmental Engineering, Chemistry, Medical Entomology, Bioinformatics and Geotechnical Engineering. He won IDRBT Best Research Award in Mar 2019 and Best Research Award at CSIR-IICT in 2000. He won Best paper Awards at ICICC-2013, MIWAI-2014, FICTA-2024, ICDMAI-2025 (2 papers), and AGC-2025.

At IDRBT, he held various administrative positions such as Coordinator, IDRBT-Industry Relations (2005-06), M. Tech (IT) Coordinator, (2011-2014), Convener, IDRBT Working Group on CRM (2010-11); IDRBT-UoH Ph. D. Coordinator (2014-2016); Ph.D. Co-ordinator for IDRBT-IITB scheme (2021-2022) and IDRBT-NITW scheme (2017-2021), IDRBT-NITT scheme (2022-till date). As the convener, he co-authored (i) Handbook on Holistic CRM and Analytics, (ii) Data Quality Framework for Indian banks (iii) Digital Banking Framework, and (iv) AI in Banking. He has 37 years of research and 25 years of teaching experience. He designed and developed a number of courses in NUS Singapore and IDRBT India at M. Tech level in Soft Computing, Data Warehousing and Data Mining, Fuzzy Computing, Neuro Computing, Quantitative Methods in Finance, Soft Computing in Finance and Pre-Ph.D. courses such as Advanced Data Mining and Evolutionary Computing for the students under the Associate Status of IDRBT-UoH collaboration.

Further, he designed, developed and delivered a number of short courses (2-weeks\1-week) for Executive Development Programmes (EDPs) such as CRM for executives, Data Mining, Big Data and its relevance to Banking, Social Media Analytics, Big Data Analytics in Banking with Hadoop and Spark, Fraud Analytics with AI/ML, Data Science and AI /ML for Banking, Advanced AI /Ml for Banks, Financial Forecasting using AI/ML, End-to-end Implementation of AI/ML models etc. He conducted proof of the concept (POC) on ACRM business problems for 17 banks on their real data. He trained approximately 1500 executives. He established excellent research collaborations with University of Hong Kong, University of Ghent, Belgium, IISc., Bangalore and IIT Kanpur, AUT, New Zealand; SUNY, Buffalo, USA; MSU, East Lansing, USA; Syracuse University, USA, University of Memphis, USA, Vanderbilt University, USA; IIM Bangalore; Neoma Business School France etc. He designed, co-ordinated and conducted Two International EDPs in University of Ghent, Belgium on ACRM to banking executives jointly with Prof Dr Dirk Van den Poel, University of Ghent, Belgium in 2011 and 2012 and with Prpof. Venu Govindaraju, SUNY Buffalo, USA during 2017.  As part of academic outreach, he was a Guest Speaker in IIM Kolkata’s PGP programme on Business Analytics and an invited Resource Person in various National Workshops and Faculty development programmes on Soft Computing, Data Mining, Big Data funded by AICTE and organized by SRM University, JNTU, UoH, College of Supervisors, RBI, CR Rao Institute of AMSCS, Hyderabad and many Engineering Colleges in India. He is an invited Panel Member/Chair in several National forums like IBA on Big Data Analytics in Banking in India. He is a member of task force set up to suggest changes to curriculum by NSDC and administered by NASSCOM to develop Data Scientists. Further, he contributed to the Roadmap for Big Data in India developed by DST. He is an External examiner for Ph.D. in Auckland University of Technology, New Zealand and Christ University, India, Mumbai University, IISc Bangalore, IIM Kolkata, Visvesvaraya Technological University, Pondicherry University, etc. Further, he is an External Expert to review Research Project Proposals on Analytics and ACRM submitted by the Belgian Academics to Belgian Government for funding; for Irish Science Foundation and European Science Foundation. He is book proposal reviewer for Elsevier, Springer and IGI Global.

He was an Associate Professor at IDRBT between February 2010 and June 2014. Prior to joining IDRBT as Assistant Professor in April 2005, he worked as a Faculty at the National University of Singapore (April 2002 – March 2005). At ISS, he was involved in teaching M. Tech. (Knowledge Engineering) and research in Fuzzy Systems, Neural Networks, Soft Computing Systems and Data Mining & Machine Learning. Further, he consulted for Seagate Technologies, Singapore and Knowledge Dynamics Pte. Ltd., Singapore, on data mining projects. Earlier, he worked as Assistant Director (Scientist E1) from 1996 -2002 and Scientist C from 1993-1996 respectively at the Indian Institute of Chemical Technology (IICT), Hyderabad. He was deputed to RWTH Aachen (Aachen University of Technology) Germany under the DAAD Long Term Fellowship to carry out advanced research during 1997-1999. He earlier worked as Scientist B and Scientist C at the Central Building Research Institute, Roorkee (1988-1993) and was listed as an expert in Soft Computing by TIFAC, Government of India.

S. No. Name of the PhD scholar Title of the PhD Thesis
1 Ramankanta Mohanty
(December, 2010)
(with Prof. M. R. Patra, Berhampuir University, Orissa)
Application of Machine Learning and Soft Computing to Software Engineering
2 Mohammed Abdul Haqul Farquad
( April, 2011)
(with Prof. S. Bapiraju, University of Hyderabad)
Rule Extraction from Support Vector Machine: Applications to Banking and Finance
3 Nekuri Naveen
( November, 2012)
(with Prof. C. R. Rao, University of Hyderabad)
Rule Extraction fom Neural Networks and Optimization techniques: Applications to Banking
4 Pradeep Kumar Dabada
(January, 2017)
(University of Hyderabad)
Financial Time series predicition using Soft Computing Hybrids
5 Bangari Shravan Kumar
(July, 2018)
(University of Hyderabad)
Novel Text Mining methods and Applications
6 Kumar Ravi
(October, 2018)
(University of Hyderabad)
Development of Novel methods for Social Media Analytics
7 Gutha Jaya Krishna
(April, 2020)
(University of Hyderabad)
Evolutionary Computing applied to solve some Analytical and Operational problems in Banking, Financial services and Insurance
8 SK Kamuruddin
(September, 2021)
(University of Hyderabad)
Scaling out some of the Data Mining algorithms for Big Data Analytics
9 Vivek Yelleti
On-going-2020-tilldate
(with Prof. P. Radha Krishna, NIT, Warangal)
Feature Subset Selection using Evolutionary Computing under Big Data Paradigm
10 Sandarbh Yadav
Ongoing-2022-till date
(with Dr. Shivaram Kalyanakrishnan, IIT Bombay)
Reinforcement learning and Evolutionary Computing for Financial Applications