Faculty
(Last Updated: Dec 21, 2021 09:03)
Parag Kulkarni
Department of Digital Business & Innovation
Professor
pkulkarn@tiu.ac.jp
Education
- 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 and Research Interests:
Artificial Intelligence, Machine Learning, Innovation Strategy, Choice Computing, Emotional and Behavioral Computing, Data Mining, Text Mining, Deep Reinforcement Machine Learning
Academic Appointments/Professional Experience
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
isiting 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
Fellowship & Grants
2005
Oriental Foundation Scholarship
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DRDO - Defense project Grant "Out of the pattern detection" – Project completed – Consultant and co-investigator
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BCUD grant received by my student under my supervision
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DST project on Data Mining
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Consultant to Tech Mahindra
-
Consultation at Envestnet
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Consultation at Sense Hawk India
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Consultant to Praxify
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Consultant to CMR Group
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Consultant to DST Accelerator Program
Selected Publications/Conference Papers
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, “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:
(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
(J) Ayesha Butalia, A.K. Ramani,. Parag Kulkarn, "Emotional Recognition and towards Context based Decision", Number 3 - Article 8, International Journal of Computer Applications, 2010 PP 42-54
(J) Prachi Joshi,. Parag Kulkarn, "A Novel Approach for Clustering Based on Pattern Analysis", Number 4 - Article 8, International Journal of Computer Applications, 2011, PP 1-4
(J) Shankar Lal, P.Kulkarni, Amarjeetsingh, “Instance Based Classification for Decision Making in Network Data”, Citation Information: . Volume 1, Issue 1, Pages –, ISSN (Online) 2191-026X, ISSN (Print) 0334-1860, DOI: 10.1515/jisys-2012-0008, June 2012
(J) Preeti Mulay, Parag Kulkarni, "Knowledge augmentation via incremental clustering" Int. J. of Business Information Systems "IJBIS - Vol. 12, Issue 1 pp 68-87, 2013, impact factor 0.5
(J) Swamy, B. K., Kulkarni, P. A.: Intelligent Decision Making Based Clustering and Classification Mind-Maps, WSEAS Transactions on Business and Economics Issue 4 (2006), Vol. 3, pp 379-385, 2006, ISSN 1109-9526
(J) P. Kulkarni, Isengupta, A paper titled “Dual and multiple token based load balancing” is Published in - International Journal of System Architecture. Volume 51/1 Page 95-112, February 2005.
A Chaudhari, RR Joshi, P Mulay, K Kotecha, P Kulkarni, “Bibliometric survey on incremental clustering algorithms” Library Philosophy and Practice, 1-23, 2020
Application of Machine Learning in Music Analytics (Peer METHOD) Machine Learning Applications Emerging Trends doi: 10.1515/9783110610987, 2020
Speech Recognition to Build Context: A Survey (Peer Review) Co-authored IEEE Conference 2020 International Conference on Computer Science, Engineering and Applications (ICCSEA), 2020