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Dr Makarand Velankar

vidwan id: 422215
Male

Associate Professor,
Maharshi Karve Stree Shikshan Samsthas, Cummins College Of Engineering For Women

Expertise

  • Computer Science Interdisciplinary SCI

Publications

Total Articles 8
Books 0
Proceedings 0

Publications

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Scopus

Citations 20
h-index 2

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Citations 0
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Professional Recognition

2018

Best paper award

Springer

Community & Membership

2023

Board of studies

Expert member

ACM

2019
Member

IEI

2005
Member

Bio

Makarand Velankar, PhD. in Computer Engineering from Savitribai Phule Pune University (SPPU), has about 11 years of industry and 22 years teaching experience.His areas of interests includes Computational musicology, Machine learning, Information retrieval, Algorithms, Entrepreneurship, Startup mentoring.

Personal Details

  • Male
  • Associate Professor , Maharshi Karve Stree Shikshan Samsthas, Cummins College Of Engineering For Women
  • MKSSS'S Cummins College of Engineering for women, karvenagar Pune.
Ph.D
Maharshi Karve Stree Shikshan Samsthas, Cummins College Of Engineering For Women 2022
Associate Professor Aug 2001 – Present
Maharshi Karve Stree Shikshan Samsthas, Cummins College Of Engineering For Women

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Scholarly Work

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Scholarly Publications

Music Recommendation Systems: Overview and Challenges

Open Access
Book Chapter

Gamification by Students: An effective approach to cyber security concept learning

Open Access
Article

Melodic pattern recognition in Indian classical music for raga identification

Open Access
Article

Unified algorithm for melodic music similarity and retrieval in query by humming

Open Access
Conference Paper
Authors: Makarand V.;Parag K.
4

Modeling melody similarity using music synthesis and perception

Open Access
Conference Paper

Novel approach for music search using music contents and human perception

Open Access
Conference Paper
Authors: Makarand V.;Sahasrabuddhe H.
2

Exploring data analysis in music using tool praat

Open Access
Conference Paper
Authors: Velankar M.R.;Sahasrabuddhe H.V.
10

Music Melodic Pattern Detection with Pitch Estimation Algorithms

Open Access
working-paper