1.     Name: Pradip Chakraborty

2.     Email Id: pradipchk@gmail.com

3.     Highest Qualification (PG onwards):

Ph.D. (CSE) (about to submit thesis), M.E (IT), MCA, PGDBA, PGDHR, MCSE, MCSA, MCP

CCNA, CCNP, OCA

Certified Master Trainer, UIDAI, Govt. of India

4.     Field of specialization: Machine Learning Engineering

5.     Subject Teaching: Computer science, Mathematics, Statistics, Operations Research, Data Analytics, Management

6.     Work Experiences (No of Years): 24

a)     Teaching Experience: 11

b)     Research Experience: 10

c)     Industry Experience:  13

7.     Current research activities:

Detection of Critical Diseases using Machine Learning Engineering in the broad area of Computer Science & Engineering

8.     Publications

i.          A Post-processing Ensemble Machine Learning Approach for Prediction and Classification of Cardiovascular Disease.

Authors: Pradip Chakraborty & Bikash Kanti Sarkar

 IEEE Xplore, ISSN-1803-7232 (Web of Science/Scopus indexed)

 ii A Comparative Study on Detection of Breast Cancer by Applying Machine Learning Approaches

Authors:   Pradip Chakraborty & Bikash Kanti Sarkar

International Journal of Experimental Research and Review, ISSN-2455-4855 (Scopus indexed) 

ii.          Detection of Breast Cancer using Machine Learning Approaches

Author: Pradip Chakraborty

 International Journal of Innovative Practices and Applied Research (IJIPAR),2022

ISSN-2349-8978

9. Author of Complete Reference Book

For UG/PG/Researchers: Mathematics for Pharmacy

Authors: Pradip Chakraborty & Dipak Chatterjee

ISBN: 978-81-19948-56-7

 Chapters in Books with International Publishers

No. of Articles: 3

9.     Conference/ Seminar/ Symposium/Workshop/FDP/Speaker/Resource person (Any five)

Resource Person – 2

Workshop: 7

FDP (With IIT/BIT/NIT/etc.) 10

National: Conference/Seminar: 2

International Conference/Seminar: 6

10.  International  Professional attachment/ Membership (If any)

Member of Computer Society of India

Member of International Association of Engineers (Hong Kong based)

Member of Computer Science Teachers Association (USA based)

Member of Association of Computing Machinery (ACM), (USA based)

11.  Projects Guided (No. of Students):

i    Under Graduate: 122

ii Post Graduate: 84

ii Ph.D. Scholar: