Dr. Yogesh Raghunath Kulkarni

Bio

Dr. Yogesh R. Kulkarni serves as an Assistant Professor at SCET, MIT World Peace University College of Engineering and brings over 18 years of rich teaching experience in the field of engineering education. His primary research interests include Data Mining and Data Warehousing, areas in which he has made notable academic contributions.

Dr. Kulkarni has published research papers indexed in Elsevier Scopus and several additional papers in reputed national and international journals and conferences. He is an active member of professional bodies and holds lifetime memberships in the Computer Society of India (CSI) and the Indian Society for Technical Education (ISTE).

Known for his dedication and strong work ethic, Dr. Kulkarni has successfully guided more than ten undergraduate project groups, MTech students, PhD Scholar in process, supporting students in developing practical and research-oriented skills. In addition to his academic contributions, his effective administrative and organizational abilities enable him to efficiently manage teaching responsibilities and institutional academic activities.

Professional Affiliations: ISTE,CSI

Specialisation: Computer Science and Engineering

Areas of Expertise: Data Mining and Data ware housing

Teaching Experience: 18+ Years

Education:

Ph.D: Ph.D Computer Engineering-Veltech university Chennai

M.Tech: M.tech Computer engineering- PDA collegeGulbarga,VTU university

B.Tech: B.Tech. In Computer Engineering-GCOE Jalgoan

Publications and Research Work:

Spinal PMDMNN: a new blockchain-based IOT network for healthcare classification Kulkarni, D.Y.R. , Sugave, D.S. , Jagdale, D.B. , Gutte, V. Australian Journal of Electrical and Electronics EngineeringOpen source preview, 2025, 22(4), pp. 793–807,Optimized key generation-based privacy preserving data mining model for secure data publishing

Kulkarni, Y.R. , Jagdale, B. , Sugave, S.R. Advances in Engineering SoftwareOpen source preview, 2023, 175, 103332,Volume 38 No. 7s, 2025 ISSN: 1311-1728 (printed version); ISSN: 1314-8060 (on-line version) Received: August 08, 2025 1063 DEVELOPING MACHINE LEARNING MODEL FOR ACCURATE PREDICTION OF SOYBEAN MARKET PRICES USING MULTIDISCIPLINARY AGRICULTURAL DATA SOURCES Vilas D Ghonge1, Dr. Yogesh Kulkarni2

Subjects Taught: Digital electronics,Blockchain technology,object-oriented programming,software engineering,data communication

Scopus Id:
https://www.scopus.com/authid/detail.uri?authorId=57192315058

Google scholar Id:
https://scholar.google.com/citations?user=9GsTeoQAAAAJ&hl=en

Orchid Id:
https://orcid.org/my-orcid?orcid=0000-0002-9820-4911

Linked In:
https://www.linkedin.com/in/dr-yogesh-kulkarni-a751b056/