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Database and Information Security, Data Mining, Machine Learning, Applied Artificial Intelligence
India

Biography

Dr. Sharmila Subudhi is working as an Assistant Professor in the Department of Computer Science at Maharaja Sriram Chandra Bhanja Deo (MSCB) University
Baripada, Mayurbhanj-757003, Odisha, India. She has published several refereed articles in various book chapters, conferences, and International repute peer-reviewed journals of Elsevier, Inderscience, Springer, etc. She has a total of 10+ years of experience in both teaching and research. She is a regular member of IEEE and ACM. Her area of interest includes Database Security, Intrusion Detection Models, Data Mining, Applied Artificial Intelligence, and Blockchain Security.

Activities

Employment (1)

Maharaja Sriram Chandra Bhanja Deo University: Baripāda, Orissa, IN

2022-01-17 to present | Assistant Professor (Computer Science)
Employment
Source: Self-asserted source
Dr. Sharmila Subudhi

Education and qualifications (1)

Veer Surendra Sai University of Technology: Burla, Orissa, IN

2014-03-10 to 2019-05-13 | Ph.D. Scholar (Computer Science and Engineering & IT)
Education
Source: Self-asserted source
Dr. Sharmila Subudhi

Professional activities (2)

IEEE Computer Society: Kolkata, DC, IN

2019-07-01 to present | Member
Membership
Source: Self-asserted source
Dr. Sharmila Subudhi

Association for Computing Machinery: Kolkata, New York, IN

2019-06-26 to present | Professional
Membership
Source: Self-asserted source
Dr. Sharmila Subudhi

Works (16)

Digital Watermarking Using Visual Cryptography

2023 | Book chapter
Contributors: Alina Dash; Kshiramani Naik; Sharmila Subudhi
Source: check_circle
Crossref

Hand Sign Language Detection Using Deep Learning

2022 | Book chapter
Contributors: Subham Sharma; Apala Ghosh; Sharmila Subudhi
Source: check_circle
Crossref

Gerät zur Erkennung von falschem Geld mittels intelligenter Schaltung und Bildverarbeitung

German Patent and Trademark Office
2022-06-01 | Patent
Source: Self-asserted source
Dr. Sharmila Subudhi

SMART COVID-19 TESTING BOOTH AUTOMATION SYSTEM

INNOVATION PATENT AUSTRALIAN PATENT OFFICE
2022-04-21 | Patent
Source: Self-asserted source
Dr. Sharmila Subudhi

Two-stage automobile insurance fraud detection by using optimized fuzzy C-means clustering and supervised learning

International Journal of Information Security and Privacy
2020 | Journal article
EID:

2-s2.0-85087094009

Part of ISSN: 19301669 19301650
Contributors: Subudhi, S.; Panigrahi, S.
Source: Self-asserted source
Dr. Sharmila Subudhi via Scopus - Elsevier
grade
Preferred source (of 3)‎

Use of optimized Fuzzy C-Means clustering and supervised classifiers for automobile insurance fraud detection

Journal of King Saud University - Computer and Information Sciences
2020 | Journal article
EID:

2-s2.0-85030758278

Contributors: Subudhi, S.; Panigrahi, S.
Source: Self-asserted source
Dr. Sharmila Subudhi via Scopus - Elsevier
grade
Preferred source (of 2)‎

Application of extreme learning machine in detecting auto insurance fraud

Proceedings - 2019 International Conference on Applied Machine Learning, ICAML 2019
2019 | Conference paper
EID:

2-s2.0-85081101210

Contributors: Patel, D.K.; Subudhi, S.
Source: Self-asserted source
Dr. Sharmila Subudhi via Scopus - Elsevier

Application of OPTICS and ensemble learning for Database Intrusion Detection

Journal of King Saud University - Computer and Information Sciences
2019 | Journal article
EID:

2-s2.0-85065880687

Contributors: Subudhi, S.; Panigrahi, S.
Source: Self-asserted source
Dr. Sharmila Subudhi via Scopus - Elsevier
grade
Preferred source (of 2)‎

Effect of Class Imbalanceness in Detecting Automobile Insurance Fraud

Proceedings - 2nd International Conference on Data Science and Business Analytics, ICDSBA 2018
2018 | Conference paper
EID:

2-s2.0-85061363385

Contributors: Subudhi, S.; Panigrahi, S.
Source: Self-asserted source
Dr. Sharmila Subudhi via Scopus - Elsevier
grade
Preferred source (of 2)‎

Use of OPTICS and Supervised Learning Methods for Database Intrusion Detection

Proceedings - 2017 International Conference on Computational Intelligence and Networks, CINE 2017
2018 | Conference paper
EID:

2-s2.0-85063534741

Contributors: Subudhi, S.; Behera, T.K.; Panigrahi, S.
Source: Self-asserted source
Dr. Sharmila Subudhi via Scopus - Elsevier
grade
Preferred source (of 2)‎

A hybrid mobile call fraud detection model using optimized fuzzy C-means clustering and group method of data handling-based network

Vietnam Journal of Computer Science
2018-09 | Journal article
Source: Self-asserted source
Dr. Sharmila Subudhi

Detection of Automobile Insurance Fraud Using Feature Selection and Data Mining Techniques

International Journal of Rough Sets and Data Analysis
2018-07-01 | Journal article
Part of ISSN: 2334-4598
Contributors: Sharmila Subudhi; Suvasini Panigrahi
Source: check_circle
IGI Global

Use of possibilistic fuzzy C-means clustering for telecom fraud detection

Advances in Intelligent Systems and Computing
2017 | Book
EID:

2-s2.0-85019769657

Contributors: Subudhi, S.; Panigrahi, S.
Source: Self-asserted source
Dr. Sharmila Subudhi via Scopus - Elsevier
grade
Preferred source (of 2)‎

Use of fuzzy clustering and support vector machine for detecting fraud in mobile telecommunication networks

International Journal of Security and Networks
2016 | Journal article
EID:

2-s2.0-84961114850

Contributors: Subudhi, S.; Panigrahi, S.
Source: Self-asserted source
Dr. Sharmila Subudhi via Scopus - Elsevier

Detection of Mobile Phone Fraud Using Possibilistic Fuzzy C-Means Clustering and Hidden Markov Model

International Journal of Synthetic Emotions
2016-06 | Journal article
Contributors: Sharmila Subudhi; Suvasini Panigrahi; Tanmay Kumar Behera
Source: Self-asserted source
Dr. Sharmila Subudhi via Crossref Metadata Search
grade
Preferred source (of 2)‎

Quarter-sphere support vector machine for fraud detection in mobile telecommunication networks

Procedia Computer Science
2015 | Conference paper
EID:

2-s2.0-84938938243

Contributors: Subudhi, S.; Panigrahi, S.
Source: Self-asserted source
Dr. Sharmila Subudhi via Scopus - Elsevier
grade
Preferred source (of 2)‎

Peer review (3 reviews for 2 publications/grants)

Review activity for Applied artificial intelligence : (2)
Review activity for International journal of knowledge discovery in bioinformatics. (1)