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Dr. M. Manimekalai

Dr. M. Manimekalai

Assistant Professor

About

Dr. M. Manimekalai is an Assistant Professor in the School of Computer Science and Engineering at RV University, Bengaluru, specializing in Artificial Intelligence and Machine Learning. She has over 15 years of professional experience spanning higher education, software testing, quality assurance, academic administration, research, and student mentoring.

Her areas of specialization include Artificial Intelligence, Machine Learning, Cybersecurity, Natural Language Processing, Software Testing and Quality Assurance, Intelligent Systems, and Emerging Technologies. Her research focuses on AI-driven cybersecurity, anomaly detection, adaptive intelligent systems, software defect prediction, multi-agent systems, and intelligent software testing.

Dr. Manimekalai holds a Ph.D. in Computer Science from Bharathiar University, along with an M.Phil. in Computer Science, M.Sc. in Information Technology, BCA in Computer Applications, and MCA in Artificial Intelligence and Machine Learning. She is UGC-NET qualified in Computer Science and Applications and holds an Honours Diploma in Computer Applications (HDCA) and ISTQB–ISEB Certified Tester Foundation Level (CTFL).

She has contributed to research through Web of Science and Scopus indexed publications, peer-reviewed journal and conference publications, an academic book, a Scopus-indexed Springer book chapter, and patent applications. Her research includes the MARTO framework for adaptive cybersecurity and intelligent botnet detection, AI-based anomaly detection, software defect prediction, software testing, and emerging technologies including IoT.

She has participated in 40+ Faculty Development Programmes and completed 50+ online courses and professional certifications, including courses from NPTEL (IIT Madras/IIT Kharagpur) and Google, covering areas such as Python, Data Science, Artificial Intelligence, Machine Learning, Software Engineering, Cybersecurity, and emerging technologies. She has also participated in 30+ national and international seminars/webinars and 6+ workshops. Her academic contributions include serving as an External Examiner, Central Valuation Examiner, Reviewer, Resource Person, Academic Coordinator, Project Guide, and student mentor.

“Learn continuously, innovate fearlessly, and use knowledge to create meaningful impact.”

MARTO: Integrating Software Testing Validation in Confidence-Weighted Multi-Agent Cyber Security Systems
Research on an adaptive multi-agent cybersecurity framework integrating software testing validation and confidence-weighted decision-making for intelligent threat detection.
Scalable and Explainable Anomaly Detection in Dynamic Network Environments
Research focused on scalable and explainable AI-based anomaly detection for dynamic network and cybersecurity environments.
Software Defect Data Pre-Processing Using Enhanced Unified Data Processing Algorithm
An enhanced approach to software defect data preprocessing supporting effective defect prediction and software quality analysis.
Designing MARTO: Modular Log Fusion and Entropy-Based Adaptive Threat Scoring with Embedded Software Testing Validation
Research presenting an adaptive cybersecurity framework combining modular log fusion, entropy-based threat scoring, and software testing validation.
A Comprehensive Guide to Software Defects Prediction in Testing
Research on software defect prediction approaches for improving software testing and quality assurance.
Evaluating the Effectiveness of Software Testing Defect Prediction Methods
Research evaluating software defect prediction methods for effective software testing and quality analysis.
Portfolio Management System
Research presenting a structured digital approach for portfolio information management and practical computing applications.
Exploring the Impact of Social Media Sentiment on Financial Market Volatility: A Machine Learning Approach
Research applying Machine Learning and sentiment analysis to study social media sentiment and financial market volatility.
Discovering the Beauty of Discrete Structures and Optimization for UGC NET / SET / JRF – Computer Science Preparation
Academic book supporting Computer Science learners in understanding discrete structures and optimization for competitive examination preparation.
Harnessing VR and AR for Sustainable Smart Manufacturing: Eco-Friendly Innovations
Research exploring VR, AR, Machine Learning, and IoT applications for sustainable and innovative smart manufacturing.
Smart and Accurate Election Prediction System Using Machine Learning Techniques
Patent application for an intelligent election prediction system using Machine Learning techniques. Application No. 202341064034 A.
Machine Learning and Remote Sensing for Soil Moisture Estimation
Patent application applying Machine Learning and remote sensing techniques for soil moisture estimation. Application No. 202321061620.
Intelligent Resource Optimization System for Educational Institutions
Patent application proposing an intelligent computing system for optimizing resources in educational institutions. Application No. 202641088838.
Intelligent Computing Interface with Adaptive Data Visualization Grid for Real-Time Digital Interaction
Design application for an intelligent computing interface supporting adaptive data visualization and real-time digital interaction.
Secure Digital Processing Console with Multi-Layer Information Management Matrix for Reliable Computing Operations
Design application for a secure digital processing console supporting reliable computing operations through multi-layer information management.

Artificial Intelligence & Machine Learning – Intelligent learning models and real-world AI solutions.

Cybersecurity & MARTO Framework – Adaptive threat detection, botnet detection, and intelligent security systems.

Anomaly Detection & Intelligent Systems – Scalable, explainable anomaly detection and adaptive decision-making.

Software Testing & Quality Assurance – Defect prediction, testing validation, and software quality improvement.

Natural Language Processing (NLP) – AI-based language processing and intelligent applications.

Emerging Technologies – AI, IoT, and Machine Learning applications.

Educational Technology & Innovation – Intelligent computing, resource optimization, and practical technology solutions.

Research Interests

Artificial Intelligence, Machine Learning, Cybersecurity, Anomaly Detection, Software Testing & Quality Assurance, Natural Language Processing, Multi-Agent Systems, Intelligent Systems, IoT, and Educational Technology.

Asia Book of Records & India Book of Records – Record Holder
Recognized for achieving the fastest reverse counting from 100 to 1 in 28 seconds.

UGC-NET Qualified – Computer Science & Applications
Qualified UGC-NET conducted by NTA.

Academic Author
Authored Discovering the Beauty of Discrete Structures and Optimization for UGC NET / SET / JRF – Computer Science Preparation.

Academic Excellence
Achieved 100% academic results in core subjects and secured 100/100 in an Academic Knowledge Quiz.

Professional Development
Completed 40+ Faculty Development Programmes and 50+ online courses and certifications, including NPTEL and Google courses.

Professional Memberships
Member of 12+ national and international professional, academic, and research associations, including ACM, IAENG, CSTA, AnitaB.org, IFERP, and TERA.

Academic & Professional Service
Served as External Examiner, Central Valuation Examiner, Reviewer, Resource Person, Academic Coordinator, Project Guide, and Student Mentor.

Dr. M. Manimekalai

Assistant Professor

Ph.D. in Computer Science, Bharathiar University; M.Phil. in Computer Science; M.Sc. in Information Technology; BCA in Computer Applications; MCA – Artificial Intelligence & Machine Learning; UGC-NET – Computer Science & Applications; Honours Diploma in Computer Applications (HDCA) – Grade A; ISTQB–ISEB Certified Tester Foundation Level (CTFL).

School of Computer Science and Engineering

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