Parag Kulkarni

Professor of Artificial Intelligence & Innovation Strategy

Ph.D. – Indian Institute of Technology, Kharagpur

2010 D.Sc. – Innovation Strategy, Knowledge Innovation. UGSM, Monarch Business School, Switzerland
2001 Ph.D. – Computer Science, Indian Institute of Technology (IIT), Kharagpur, India
1994 M.E. – Computer Science, SGSITS, Indore, India
1990 B.A. – Computer Science, Walchand College of Engineering, Sangli, India
Teaching & Research Interests

Artificial Intelligence, Machine Learning, Innovation Strategy, Choice Computing, Emotional and Behavioral Computing, Data Mining, Text Mining, Deep Reinforcement Machine Learning

Academic Appointments
2019- Professor TIU, Japan
2019-2020 CEO and Director, Kvinna Limited, New Zealand
2015-2019 CEO and Chief Scientist, iKnowlation Research Labs, Pune, India
2011-2019 Visiting Professor and Visiting Researcher, Masaryk University, Brno, Czech Republic
2010-2020 Professor and Dean DYPIET, Pune, India
2010- Adjunct Professor, COEP, Pune, India
2004-2010 Chief Scientist and Research Head, Capsion Research Labs, Pune, India
2003-2006 Visiting Professor, IIM Indore, India
2003-2004 Research Head and Senior Consultant, Scientific Application Centre, Siemens, Pune, India
2001-2003 Research Head, DART, Ideas, Pune India
2000-2001 Professional Partner, ReasonEdge Technologies Pte Ltd, Singapore
Fellowships & Grants
2005 Oriental Foundation Scholarship
– DRDO – Defense project Grant “Out of the pattern detection” – Project completed – Consultant and co-investigator
– BCUD grant received by my student under my supervision
– DST project on Data Mining
– Consultant to Tech Mahindra
– Consultation at Envestnet
– Consultation at Sense Hawk India
– Consultant to Praxify
– Consultant to CMR Group
– Consultant to DST Accelerator Program
Selected Publications/Conference Papers
Patent: Granted – Parag Kulkarni, Indian Patent office: 201621034737 “A SYSTEM AND METHOD FOR CONTEXT-BASED BORING INDEX COMPUTATION AND A CORRESPONDING ACTUATOR” 08 Sept 2022
Patent: Pending – Parag Kulkarni, Vinayak, Indian Patent Office – 202324045395, 1/52401/2023-Mum, A System and Method for Turning Point based Decision Making Under Uncertainty, 06 Jul 2023
Inventor for patent granted “Business method using the automated processing of paper and unstructured electronic documents.” No. 7,747,495
Patent Granted in USPTO for doc classification and innovative ways of grouping. Application no “Intelligent Paperless Document Management” – US8176004B2
Patent Granted in US PTO “Thematic relationship among objects based on context” WO 2014054052 A2 – US10,002,330
Patent Pending – WO 2015008300 A2, Application number PCT/IN2014/000468 – “A system for instance specific, device-specific, duration-specific, view-specific, time-stamp-specific, and network specific, file/content sharing”
PCT – Reverse Hypothesis Machine Learning 2018
Two provisional patents – One for Context based security framework and other for Document Ranking
Patent Pending IDEA Matrix – 2018
Patent Pending Intent Action – 2018
Patent pending – Competency Mapping – 2018
Parag Kulkarni, Choice Computing – Machine learning and systemic economics for choosing, Springer Nature, 2022
Parag Kulkarni, Reverse Hypothesis Machine Learning, Springer Nature, 2017
Parag Kulkarni, “Knowledge Innovation Strategy” Bloomsbury, 2015 (No of pages 300
Parag Kulkarni, Prachi Joshi, “Artificial Intelligence – Building Intelligent Systems”, Prentice Hall India, 2015
Parag Kulkarni, Meta Brown, et al “Mining Unstructured Data – A Big Data Perspective” Prentice Hall India, 2015
Parag Kulkarni, Mrudula Kulkarni, “Deliverance from Success”, CTC Publication, Mar 2007 (No of pages 200)*
Parag Kulkarni, PK Chande, “IT Strategies-for business”, Oxford University Press, 2008 (No of pages 424) * ISBN 9780195694475
“E-Business Models”, Oxford University Press – May 2012, No of Pages 512, ISBN13-9780198069843
Book – A Monograph: on Advanced Machine Learning and New Paradigms in ML- “Reinforcement and Systemic Machine Learning for Decision Making” with Wiley – IEEE ISBN: 978-0-470-91999-6 Hardcover 328 pages May 2012 – and Indian edition by Wiley India
Research Papers:
Makarand Velankar, Parag Kulkarni “Music Feature Extraction for Machine Learning, 2023/6/25, Book: Computer Assisted Music and Dramatics: Possibilities and Challenges, Pages 59-70
Parag Kulkarni, LM Patnaik “Looking at exploratory paradigms of explainability in creative computing” Chapter No.: {2}, Explainable, Interpretable and Transparent AI Systems, CRC Press, 2023
Parag Kulkarni, LM Patnaik, AI, “Human Learning and Machine Learning-Unfolding from Creativity Perspective”, Chapter No 19, Consciousness and the new Humanism: Multidisciplinary Insights and Fundamental Reflections on Minds and Machines, Springer Nature, 2023.
V Khatavkar, S Mane, P Kulkarni, Thematic context vector association based on event uncertainty for Twitter Kulkarni – arXiv preprint arXiv:2304.01423, 2023
V Jagtap, P Kulkarni, A bayesian network-based uncertainty modeling (BNUM) to analyze and predict next optimal moves in given game scenario.- Int. Arab J. Inf. Technol., 2023
V Jagtap, P Kulkarni, P Joshi Uncertainty-based decision support system for gaming applications – Journal of Intelligent & Fuzzy Systems, 2023
N Kasabov, I AbouHassan, V Jagtap, P Kulkarni, Spiking Neural Networks for Predictive and Explainable Modelling of Multimodal Streaming Data with a Case Study on Financial Time-series and Online News – 2022
M Velankar, P Kulkarni, Melodic Pattern Recognition and Similarity Modelling: A Systematic Survey in Music Computing – Journal of Trends in Computer Science and Smart Technology, 2022
K Srujan Raju, Vinayak Jagtap, Parag Kulkarni, M Varaprasad Rao, Gameplay Cognitive Decision Support Using Statistical and Non-statistical Parametric, 2022/10/5, Proceedings of 5th ICICC 2021, Volume 2, 187-193 Springer Nature Singapore
Makarand Velankar, Parag Kulkarni, Music recommendation systems: overview and challenges, 2022/9/23, Advances in Speech and Music Technology: Computational Aspects and Applications, Pages 51-69, Springer International Publishing
Srujan K Raju, Vinayak G Jagtap, Parag A Kulkarni, Artificial Intelligence Enabled Smart Cities for Premises Security, 2022/8/15, Artificial Intelligence for Smart Cities and Villages: Advanced Technologies, Development, and Challenges, Bentham Science Publishers
Deepak A Vidhate, Parag Kulkarni, Cooperative Multi-Agent Nash Q-Learning (CMNQL) for Decision Building in Retail Shop, 2022/6/10, Information and Communication Technology for Competitive Strategies (ICTCS 2021) Intelligent Strategies for ICT, Pages 667-675, Springer Nature Singapore
Makarand Velankar, Vaibhav Khatavkar, Vinayak Jagtap, Parag Kulkarni, Knowledge discovery in time series data with contextual event identification, 2022, International Journal of Knowledge Engineering and Data Mining, Volume 7, Issue 3-4, Pages 252-27, Inderscience Publishers (IEL)
Makarand Velankar, Vaibhav Khatavkar, Vinayak Jagtap, Parag Kulkarni, Role of Feature Engineering and Classifier Selection for Machine Learning Predictions, 2021/10/3, Journal of Computer Science Engineering and Software Testing, Volume 7, Issue 3, Pages 10-17
Makarand Velankar, Rachita Kotian, Parag Kulkarni, Contextual mood analysis with knowledge graph representation for Hindi song lyrics in Devanagari script, 2021/8/16, arXiv preprint arXiv:2108.06947
Makarand Velankar, Amod Deshpande, Parag Kulkarni, Melodic pattern recognition in Indian classical music for raga identification, 2021/2, International Journal of Information Technology, Vol 13, Issue 1, PP 251-258
Makarand Velankar, Vaibhav Khatavkar, Parag Kulkarni, Multimodal Sentiment Analysis of Nursery Rhymes for Behavior Improvement of Children, 2020/12, JUSST, Vol 22, Issue 12
(J) Sunita Barve, Parag Kulkarni, “Multi-Agent Reinforcement Learning based Opportunistic Routing and Channel Assignment for Mobile Cognitive Radio Ad Hoc Network”, Springer, Journal Mobile Networks and Applications, Vol 19, No 06, 2014, PP 720-730
(J) Sunita Jahirabadkar, Parag Kulkarni, “Adaptive Determination of ε-distance Parameter in Density Based Clustering”, Elsevier, Journal on Expert Systems With Applications, ESWA-D-13-01273, 2013, Expert Syst. Appl. 41(6): 2939-2946 (2014)
(J) N Pise, Parag Kulkarni, “Evolving Learner’s behavior in Data Mining” Nitin Pise, Parag Kulkarni, Springer, Evolving Systems (2017), December 2017, Volume 8, Issue 4, pp 243–259
(J) M. Velankar, P. Kulkarni “Melodic pattern recognition in Indian classical music for raga identification “BJIT, Springer, 2018, pp 1-8
(J) M. Velankar, P. Kulkarni, “Soft Computing for Music Analytics”, Internationals Journal of Engineering Applied Sciences and Technology, 2018, Vol. 3, Issue 2, ISSN No. 2455-2143, Pages 35-40, Published Online June 2018 in IJEAST (
(J) S Sonawane, Parag Kulkarni, “Extractive Summarization using Semi-graph (ESSg)”, Accepted Springer, Evolving Systems (2019)
(J) Yashodhara V. Haribhakta, Parag Kulkarni: “Learning Context for Text Categorization” CoRR abs/1112.2031: (2011), International Journal of Data Mining & Knowledge Management Process (IJDKP), 1(6), 15 – 23
(J) Shankar Lal, Parag Kulkarni, Amarjeet Singh, “Classification Based on Parametric Partitioning of Solution Space” International Journal on Intelligent Systems- 2010, PP 165-191, Vol 19, No 2, 2010.
(J) N.Sengupta, P. kulkarni, Paper “Text classification for construction related documents” NICMA- Journal for Management, Number 01, Janeuary-March 2007, PP 5-13
(J) N. Sengupta, P. Kulkarni, “Business intelligence using clustering and decision Making” Amity International Journal, Global Business review, Volume 2, No. 1, February 2007
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