| Patents: |
| 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 |
| Books: |
| 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 http://www.oupcanada.com/catalog/9780198069843.html |
| 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 (http://www.ijeast.com) |
| (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 |
