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Faculty

(Last Updated: Dec 21, 2021 09:03)

Parag Kulkarni

Department of Digital Business & Innovation

Professor

pkulkarn@tiu.ac.jp


Education

  1. 2010 D.Sc. - Innovation Strategy, Knowledge Innovation. UGSM, Monarch Business School, Switzerland
  2. 2001 Ph.D. - Computer Science, Indian Institute of Technology (IIT), Kharagpur, India
  3. 1994 M.E. - Computer Science, SGSITS, Indore, India
  4. 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

-

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

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

Institute for International Strategy

https://www.tiu.ac.jp/iis/members/kulkarni.html