Academics

Bio

Dr. Sukhada Bhingarkar is an Associate Professor at the School of Computer Science and Engineering, MIT World Peace University in Pune. With over 20 years of teaching experience, she earned her PhD in Information Technology from Mumbai University. Dr. Bhingarkar's research interests span across Cloud Computing, Information Security, and Machine Learning, which have been published in more than 40 research papers in renowned international journals and conferences.

She serves as the Program Coordinator for the 4-year Undergraduate Program - Computer Science & Business Systems, which is conducted in association with Tata Consultancy Services. Additionally, she serves as the Industry Collaboration Coordinator for the School of Computer Science and Engineering.

Research Areas

Cloud Computing, Information Security, Machine Learning

Publications

1. An Effective Optimization Enabled Deep Learning Based Malicious Behaviour Detection in Cloud Computing, International Journal of Intelligent Robotics and Applications, Volume 6, Issue 2, 2022

2. Fuzzy entropy and lion neural learner for EDoS attack mitigation in cloud computing, “International Journal of Modeling, Simulation, and Scientific Computing (IJMSSC)”, Volume No.09, Issue No. 06, August 2018

3. A Comparison of Machine Learning Techniques for Categorization of Blood Donors Having Chronic Hepatitis C Infection”. In: Hemanth, D.J., Pelusi, D., Vuppalapati, C. (eds) Intelligent Data Communication Technologies and Internet of Things. Lecture Notes on Data Engineering and Communications Technologies, vol 101., 2022, Springer, Singapore

4. A Survey: Extraction of River Networks from Satellite Images. In: Fong, S., Dey, N., Joshi, A. (eds) ICT Analysis and Applications. Lecture Notes in Networks and Systems, vol 517., 2022 Springer, Singapore

5. Cardless Cash Withdrawal using Palm Vein Technology, IEEE International Conference on Futuristic Technologies (INCOFT), 2022

6. Extraction of River Networks from Satellite Images using Image Processing & Deep Learning Techniques, IEEE International Conference on Advancements in Smart, Secure & Intelligent Computing (ASSIC), 2022

Google Scholar link : https://scholar.google.co.in/citations?user=fR_tJcAAAAAJ&hl=en

Scopus link :https://www.scopus.com/authid/detail.uri?authorId=36871587900

ORCID link :https://orcid.org/0000-0002-9784-0932

Research Grants

Principle Investigator of BCUD, University of Pune funded Project titled “Elastic Resource Scaling and load balancer for online shopping using cloud computing”. The sanctioned amount: Rs. 180000/- .