Meena Arora
Database Management Systems Decision Sciences and Computers Blockchain Technology Applications and Security Data security Security system Rough Sets and Fuzzy Logic Brain Tumor Detection and Classification Information-theoretic security Computer security model Theoretical computer science Application security Natural (archaeology) Artificial intelligence, situated approach Ranked voting system Artificial Intelligence Computational Theory and Mathematics Information Systems Neurology

Bio

Dr. Meena Arora is an accomplished academic and researcher currently serving as an Associate Professor in the Department of Information Technology at JSS Academy of Technical Education, Noida, India. She holds a PhD in Computer Science & Engineering, along with an M.Tech and BE, reflecting a strong foundation in computing disciplines. Her research interests span Database Management Systems, the Internet of Things (IoT), Blockchain technology, and Data Analytics. Dr. Arora has contributed significantly to the field with 14 publications, garnering 114 citations, an h-index of 4, and an i10-index of 4. She is also an inventor with multiple patents granted between 2021 and 2023, focusing on blockchain for medical data security, IoT-based health monitoring, and smart city frameworks. Her work has been recognized through a grant from AICTE for 'Internet of Things & Data Analytics.' Dr. Arora is an active member of professional bodies such as IACSIT and IAENG, and she serves as a reviewer for the Global Journal of Science Frontier Research (GJSFR). Her academic presence is further established through her ORCID, OpenAlex, Scopus, and Web of Science profiles, underscoring her commitment to advancing knowledge in computer science and engineering.

Educational Journey

PhD in Computer Science & Engg., M.Tech, BE

Experience

JSS Academy of Technical Education, Noida

Associate Profesor

2008 - Present • Information Technology

Affiliations

IACSIT

MEMBER 803432555

Member since 2013

IAENG

IAENG MEMBER105796

Member since 2011

Grants and Awards

GRANT

Internet of Things & Data Analytics

AICTE

2020

Research

Supporting Queries with imprecise constraints in Total Neutrosophic Databases

Article January 1, 1970

Neutrosophic relation database model has been developed for representing and manipulating three kinds of uncertain information in databases: fuzzy, incomplete and inconsistent. The neutrosophic set is a powerful general formal framework that has been recently proposed. However, the neutrosophic set needs to be specified from a technical point of view. In order to handle inconsistent situation, we propose the relation-theoretic operations on them. We define algebraic operators that are generalizations of the usual operators such as intersection, union, selection, and join on fuzzy relations. We present an SQL–like SELECT statement construct for posing queries to total neutrosophic databases. The syntax and semantics of SELECT statement is defined for making it an effective tool for querying.