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Varsha Pawar
Assistant Professor
Dept of MCA
CMRIT
Ph 7795221539
I received bachelor of science degree in computer science from Shree Gnanambica Degree college, AP, India in 2006 and got Master of Computer Applications degree in 2009. I got Mtech degree in 2020 and Currently pursuing PhD from Christ University.I worked as Lecturer in SGDC from 2009 to 2015 and joined CMRIT in Feb 2015.
Areas of Interest in Teaching
Programming languages like Java & Python, Machine Learning, Computer Networks
Areas of Interest in Research
Social Media Forensics, Process Mining ,Machine Learning and Explainable AI
Total Years of Experience
Completed 14.5 years of teaching experience
Certificates & Training
Completed and certified in Semantic Intelligence organized by NIT Kurukshetra.
Completed FEP on Python Programming and Databases organized by Infosys Campus Connect.
Participated in the One Day Workshop on Research Methodologies in CMR Institute of Technology, Bangalore.
Papers
P.Varsha, “Approaches To Detect Cyber Crime On Social Media”, IJAST, vol. 29, no. 11s, pp. 2963-2975, May 2020.
P.Varsha, “Evidence acquisition in Social Media for Cyber Crime”, International Conference on Recent Advances in Computer Science Conference 2021, June 2021.
P.Varsha, “Machine Learning methods to identify aggressive behavior in Social Media”, IEMIS 2022, Feb 2022.
P.Varsha, “An AI based forensic model for Online Social Networks”, IDSCS 2022, Feb 2022
P.Varsha,"A Unified Approach to Predict and Understand Acute Myeloid Leukemia Diagnosis", PEIS 2023, June 2023
Patent
Published a patent entitled “Building Family Tree with birth certificate and preserving Using "Block Chain”, Indian Patent, Sept 2020.
Published a patent entitled "Building Tax Information of a property seller and preserving Using Blockchain",Indian Patent,2022
Published a patent entitled " A communication system to automatically identify car accident", Indian Patent,2023
Published a patent entitled "Building Court Hearing Documents and preserving Using Block chain", Indian Patent,2023
Awards & Achievements:
➢Received faculty award for “Best Feedback” in 2019.
➢Received faculty award for “TYL” in 2020.
➢Received faculty award for “Placement Support Training” in 2022.