Reeta Mishra

@iilm.ac.in

Assistant Professor and Computer Science & Engineering
IILM University

Reeta Mishra


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https://researchid.co/ritamishra
Reeta Mishra is a highly accomplished professional specializing in Computer Science and Engineering. She completed her M.Tech from Subharti University and is currently pursuing a Ph.D. at Manav Rachna University. With over 11 years of teaching experience, she is currently associated with Delhi Technical Campus in Greater Noida. Her research focuses on Cyber security, Machine Learning, Data Learning, Data Science, Federated Learning, and Meta heuristic Algorithms. Reeta possesses advanced programming skills in Python, OpenCV, and Tensor Flow. Her dedication to research is evident through numerous published papers in national and international journals and presentations at conferences. At Delhi Technical Campus, Reeta contributes significantly to the academic environment, mentoring students and fostering a passion for computer science. Her expertise in cutting-edge technologies, combined with a wealth of teaching experience, makes her a valuable asset to the academic community. She also

EDUCATION

M.Tech(CSE),Ph.d (ongoing)

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Networks and Communications, Artificial Intelligence, Computer Science, Human-Computer Interaction

FUTURE PROJECTS

ML ,prompt Engineering


Applications Invited
18

Scopus Publications

188

Scholar Citations

7

Scholar h-index

7

Scholar i10-index

Scopus Publications

  • A Survey on Machine Learning based Advanced Persistent Threat Detection Techniques
    Reeta Mishra, Neelu Chaudhary, Gaganjot Kaur
    Cloud Computing and Iot Strategies for Industry 5 0 Innovation, 2026
    Cyber-attacks, fog computing, computer security, and the Internet of Things have all grown significantly and rapidly in the last few years. External threats have the potential to jeopardize information's privacy, reliability, and accessibility (CIA). When an adversary modifies a device's behaviour, applications, and services, and hides the malicious code for a long time while monitoring the target's actions, the outcome is an indication of behavioral deviation from a predefined baseline, especially when manipulating smartphones. Advanced Persistent Threats (APTs) are sophisticated, targeted cyber attacks in which an unauthorized user enters a network and stays hidden for a long time. In this Literature Review (LR) paper, we provide an analysis of Advanced Persistent Threats (APT), including their global market impact, threat models, existing defence mechanisms, research gaps, methodology, and future directions. This study concludes by summarizing numerous cybersecurity initiatives that have been developed to detect APTs or related operations, divided into groups based on the detection strategy applied.
  • Advanced Machine Learning Algorithms for Personalized Diabetic Foot Ulcer (DFU) Treatment
    Machine Learning Based Decision Support Systems for Diabetic Foot Ulcer Care, 2025
  • Early Detection of Foot Ulcers in Diabetic Patients Using Machine Learning
    Machine Learning Based Decision Support Systems for Diabetic Foot Ulcer Care, 2025
  • IoT-Driven Machine Learning in Modern Healthcare
    Harnessing the Power of Iot Enabled Machine Learning in Healthcare Applications, 2025
  • Smart Hospitals and Smarter Healthcare
    Harnessing the Power of Iot Enabled Machine Learning in Healthcare Applications, 2025
  • Augmented Reality-Powered Footwear Customization Hub: Enhancing the Shopping Journey
    Reeta Mishra, Padmesh Tripathi
    2025 International Conference on Cognitive Computing in Engineering Communications Sciences and Biomedical Health Informatics Ic3ecsbhi 2025, 2025
    A Shoe Marketplace (Try & Buy featured) is an innovative venture that aims to transform the landscape of online shoe shopping by integrating cutting-edge augmented reality (AR) technology. This research paper focused on the design, development, and implementation of the platform, addressing the inherent challenges faced by customers in traditional online shoe shopping. The project's primary objectives include introducing an immersive AR-based virtual try-on experience, enhancing user engagement, offering a diverse collection of shoes, ensuring secure transactions, and providing user-friendly search options. The paper uses an extensive methodology that blends experimental and descriptive research techniques. The research holds great importance as it has the ability to transform the online shoe retail sector by providing users with an enhanced, interactive, and secure shopping experience. The study's findings establish new benchmarks for the effectiveness of augmented reality (AR) applications in the online retail space and further the ongoing progress of virtual try-on technologies.
  • Enhancing Code Modularity and Game Mechanics in Modern Game Development
    Daksha Borada, Reeta Mishra, Padmesh Tripathi
    2025 International Conference on Cognitive Computing in Engineering Communications Sciences and Biomedical Health Informatics Ic3ecsbhi 2025, 2025
    In the modern era of technologies, game development encounters substantial challenges in warranting scalability, code modularity, and maintainability because of several issues like tight coupling, code duplication, and inconsistent architectures. Due to these problems, it becomes difficult to integrate new features, increase error rates, and lengthen development cycles. Further, adaptability is limited due to the inflexible codebases, which makes scalability difficult. These issues are resolved by design pattern methodologies which provide structured and reusable solutions for code organization. Patterns like Singleton, Observer, and Factory facilitate developers to create modular and adaptable codebases. These patterns are very helpful in reducing errors, supporting system scalability, and eliminating the necessity for wide rewrites. In this paper, the practical applications of design pattern in game development have been investigated. These patterns improve code flexibility, maintainability, and scalability. By employing these techniques, developers can increase productivity, rationalize workflows, and create strong, game architectures. It has been observed that design patterns work as indispensible tools in dealing the growing complications of modern game development, permitting teams to meet the growing demands of players preserving high standards of quality and performance.
  • Towards Accurate Sentiment Analysis in Customer Reviews: A Sarcasm-Aware Ensemble Framework
    Reeta Mishra, Kapil Kumar, Bhavana Shrivastava, Nidhi Sharma
    2025 5th International Conference on Advancement in Electronics and Communication Engineering Aece 2025, 2025
    The analysis of user-generated reviews through sentiment methods stands vital for e-commerce businesses and consumer analysis and market tracking purposes. The analysis produces confusing results because linguistic elements like sarcasm can reverse the polarity of statements with sentiment. The research constructs a sentiment classification framework that unites traditional machine learning models with contemporary sarcasm identification algorithms. A balanced portion of Amazon Reviews underwent advanced text normalization with three techniques: lemmatization and negation solution and sarcasm marking via transformer-based detection methods. A combination of text features extraction by TF-IDF vectorization and sarcasm signals conversion to auxiliary binary features completed the processing. The optimized ensemble model comprised SVM with Logistic Regression and Naive Bayes classifiers through execution of Optuna hyperparameter tuning. The experimental findings on a 45,000 -sample balanced dataset show that the system achieves 80.66% accuracy together with stable macro-F1 scores for sentiment identification. The study illustrates that sentiment performance improvements can be achieved through combining an ensemble model with sarcasm-aware feature enhancement.
  • Swarm Intelligence in Customer Segmentation
    Reeta Mishra, Padmesh Tripathi, Bhanumati Panda, Nitendra Kumar
    Intelligent Business Analytics Harnessing the Power of Soft Computing for Data Driven Insights, 2025
    Swarm intelligence (SI) is a novel approach to customer segmentation that optimizes marketing strategies by applying concepts derived from collective behaviors observed in nature. This chapter explores the use of SI, particularly in the area of customer segmentation, emphasizing how it may revolutionize targeting different consumer groups by improving accuracy and flexibility. Beyond the constraints of conventional segmentation techniques, SI algorithms allow firms to discover subtle trends and preferences by automatically and dynamically organizing client data. Using examples from nature, such as the coordinated flocking of birds and the efficient foraging pathways of ants, this study shows how SI-based algorithms mimic decentralized decision-making processes to successfully segment clients. It also looks at how SI helps companies adjust in real time to changing market conditions, giving them the flexibility and responsiveness to customize marketing campaigns. Insights from examples show how SI improves personalization, makes the best use of resources, and spots new trends, all of which contribute to stronger customer relationships and a competitive edge. Businesses can negotiate the complexity of today’s market with unmatched insight and efficiency by using the SI lens. This allows them to revolutionize customer segmentation strategies in response to changing consumer needs and preferences.
  • Smart Traffic Signal Coordination in Urban Networks via Multi-Agent Reinforcement Learning
    Bhavana Shrivastava, Reeta Mishra, Daksha Borada, Anurag Shrivastava
    2025 5th International Conference on Advancement in Electronics and Communication Engineering Aece 2025, 2025
    Urban traffic congestion is a key issue of city areas. Urban traffic congestion is one of the main obstructions in the life of urban areas. It results in increased travel times, fuel consumption, and environmental pollution. Traditional rulebased traffic control systems are very rigid and cannot deal with complex traffic patterns. Mult. Agent Reinforcement Learning (MARL) is the most commonly used intelligent system, with its requirement to retrain at every subsequent junction, however, the need for scaling up. In this study, we have introduced ZSKT that is specifically designed MARL framework (zero-shot knowledge transfer) which is strengthened by (GNNs) Graph Neural Networks and Transformers and makes it possible to generate without retraining at locations which were previously unseen. The framework was verified through real traffic datasets in SUMO and CityFlow simulators, where New York, Shanghai, and Los Angeles were among the cities involved. The approach decreases the average travel time by $25 \%$ and reduces the CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> emissions by $20 \%$ compared to the standard MARL. The new method not only increases the spread of green traffic but also improves computational efficiency, so it becomes a feasible answer for the massive distribution of intelligent traffic control mechanisms.
  • Advanced Visualization Techniques for Soft Computing Results
    Reeta Mishra, Padmesh Tripathi, Vishwanath Jha, Ravindra Kumar
    Intelligent Business Analytics Harnessing the Power of Soft Computing for Data Driven Insights, 2025
  • Real-time Monitoring and Quality Evaluation System of Fruits and Vegetables Using Image Processing
    Reeta Mishra, Padmesh Tripathi, M.A. Ansari, Mritunjay Rai, Jay Kumar Pandey
    Computational Intelligence and Image Processing in Agriculture Applications and Innovations, 2025
  • Current Landscape of Early Warning Systems and Traditional Approaches to Disaster Detection
    Reeta Mishra, Padmesh Tripathi, Neha Jain, Mritunjay Rai, Jay Kumar Pandey
    AI and ml in Early Warning Systems for Natural Disasters, 2025
  • Application of emotional intelligence in improvement of human-robot collaboration
    Reeta Mishra, Padmesh Tripathi, Nitendra Kumar
    Human Machine Collaboration and Emotional Intelligence in Industry 5 0, 2024
  • Future directions in the application of machine learning and intelligent optimization in business analytics
    Reeta Mishra, Padmesh Tripathi, Nitendra Kumar
    Intelligent Optimization Techniques for Business Analytics, 2024
  • Harnessing Machine Learning for APTs Detection and Mitigation in Large-Scale Networks
    Reeta Mishra, Neelu Chauduray, Gaganjot Kaur
    Proceedings of International Conference on Contemporary Computing and Informatics Ic3i 2024, 2024
  • Exploring the Effects of Block Chain-Based Security Systems on Cyber Security
    Reeta Mishra, Kapil Kumar, Shruti Nagpal Mehta, Neelu Chadhuary
    2024 2nd International Conference on Disruptive Technologies Icdt 2024, 2024
  • VoiceSense: Designing A Robust Emotion Detection System
    Mihir Mishra, Reeta Mishra, Anjali Pandey, Mintu, Ishaan, Gopal
    Proceedings of International Conference on Contemporary Computing and Informatics Ic3i 2024, 2024

RECENT SCHOLAR PUBLICATIONS

  • A Survey on Machine Learning based Advanced Persistent Threat Detection Techniques
    R Mishra, N Chaudhary, G Kaur
    Cloud Computing and IoT Strategies for Industry 5.0 Innovation, 49-65 , 2026
    2026
  • Federated Learning in Food Inspection and Grading
    R Mishra, P Tripathi, R Saisindhutheja, G Arora, B Panda
    Federated Learning for Smart Agriculture and Food Quality Enhancement, 111-134 , 2026
    2026
  • A Federated Differential Privacy Model with Pyramid Residual Network for Predicting Crop Yields
    R Saisindhutheja, S Makka, R Mishra, P Tripathi
    Federated Learning for Smart Agriculture and Food Quality Enhancement, 293-318 , 2026
    2026
  • Towards Accurate Sentiment Analysis in Customer Reviews: A Sarcasm-Aware Ensemble Framework
    R Mishra, K Kumar, B Shrivastava, N Sharma
    2025 5th International Conference on Advancement in Electronics … , 2025
    2025
  • Smart Traffic Signal Coordination in Urban Networks via Multi-Agent Reinforcement Learning
    B Shrivastava, R Mishra, D Borada, A Shrivastava
    2025 5th International Conference on Advancement in Electronics … , 2025
    2025
  • Real‐time Monitoring and Quality Evaluation System of Fruits and Vegetables Using Image Processing
    R Mishra, P Tripathi, MA Ansari, M Rai, JK Pandey
    Computational Intelligence and Image Processing in Agriculture: Applications … , 2025
    2025
  • Current Landscape of Early Warning Systems and Traditional Approaches to Disaster Detection
    R Mishra, P Tripathi, N Jain, M Rai, JK Pandey
    AI and ML in Early Warning Systems for Natural Disasters, 76-97 , 2025
    2025
  • Enhancing IT Audit Readiness through Automated Evidence Collection in ServiceNow
    R Mishra
    Scientific Journal of Artificial Intelligence and Blockchain Technologies 2 … , 2025
    2025
    Citations: 1
  • Human-Centered Infrastructure for Sustainable Smart Cities in Industry 5.0
    R Mishra, P Tripathi, N Kumar
    Building a Human-Centred Infrastructure for Sustainable Industry 5.0 in Asia … , 2025
    2025
  • Web Scraping for Job Listings Using Python and BeautifulSoup
    R Mishra
    Scientific Journal of Artificial Intelligence and Blockchain Technologies 2 … , 2025
    2025
    Citations: 1
  • Swarm Intelligence in Customer Segmentation
    R Mishra, P Tripathi, B Panda, N Kumar
    Intelligent Business Analytics, 106-125 , 2025
    2025
  • Advanced Visualization Techniques for Soft Computing Results
    R Mishra, P Tripathi, V Jha, R Kumar
    Intelligent Business Analytics, 174-190 , 2025
    2025
  • 10 Advanced Techniques Visualization for Soft Computing Results
    R Mishra, P Tripathi, V Jha, R Kumar
    Intelligent Business Analytics: Harnessing the Power of Soft Computing for … , 2025
    2025
  • 6 Swarm Customer Intelligence Segmentation in
    R Mishra, P Tripathi, B Panda, N Kumar
    Intelligent Business Analytics: Harnessing the Power of Soft Computing for … , 2025
    2025
  • Early Detection of Foot Ulcer in Diabetic Patients using Machine Learning
    R Mishra
    Machine Learning-Based Decision Support System for Diabetic Foot Ulcer Care, 153 , 2025
    2025
    Citations: 1
  • Advanced Machine Learning Algorithms for personalized Duabetic Foot Ulcer (DFU) Treatment
    R Mishra
    Machine Learning-Based Decision Support System for Diabetic Foot Ulcer Care, 95 , 2025
    2025
  • Scalable Microservices: Design, Implementation, and Optimization for High-Traffic SaaS Platforms
    R Mishra
    International Journal for Research Publication and Seminar 16 (2) , 2025
    2025
  • Microservices Architecture: A Comparative Analysis of Domain-Driven Design and Service-Oriented Architecture
    R Mishra
    International Journal for Research Publication and Seminar 16 (2) , 2025
    2025
  • Data-Driven Consumer insights System for Optimized Marketing Strategies
    R Mishra
    IN Patent App. 202,531,018,963 , 2025
    2025
  • AI-Based Home Healthcare Hub
    R Mishra
    US Patent 6,454,309 , 2025
    2025

MOST CITED SCHOLAR PUBLICATIONS

  • AI-Powered for Analysing Plant Extracts to Detect Diseases
    R Mishra
    US Patent 6,373,612 , 2024
    2024
    Citations: 38
  • Future directions in the application of machine learning and intelligent optimization in business analytics
    M Reeta
    Intelligent Optimization Techniques for Business Analytics, 49-76 , 2024
    2024
    Citations: 30
  • Database Selection and Management: Choosing the Right Database (SQL vs. NoSQL) for Your Application
    R Mishra
    International Journal of Research in Humanities and Social Sciences (IJRHS) , 2025
    2025
    Citations: 13
  • Cloud Sever Based Attendance Device
    R Mishra
    US Patent 6,441,489 , 2025
    2025
    Citations: 13
  • DevOps and continuous delivery in cloud-based CDN architectures
    K Gangu, R Mishra
    Int. J. Res. All Subj. Multi Lang.(IJRSML) 13 (1), 69-90 , 2025
    2025
    Citations: 10
  • Best Practices for Securing Compute Layers in Azure: A Case Study Approach
    R Mishra
    International Journal of Research in all Subjects in Multi Languages 13 (1 … , 2025
    2025
    Citations: 10
  • Application of emotional intelligence in improvement of human-robot collaboration
    M Reeta
    Human-Machine Collaboration and Emotional Intelligence in Industry 5.0, 251–267 , 2024
    2024
    Citations: 10
  • Optimizing Angular Dashboards for Real-Time Data Analysis
    VY Ravalji, R Mishra
    International Journal of Multidisciplinary Innovation and Research … , 2024
    2024
    Citations: 7
  • Blockchain technology architecture and key characteristics
    G Naidu, R Mishra
    Int. J. Adv. Res. Innov. Ideas Educ 4, 1264-1268 , 2018
    2018
    Citations: 7
  • Improving Population Health Analytics with Form Analyzer Using NLP and Computer Vision [J]
    K Changalreddy, V Reddy, R Mishra
    International Journal of Research in All Subjects in Multi Languages (IJRSML … , 2025
    2025
    Citations: 6
  • Exploring the Effects of Block Chain-Based Security Systems on Cyber Security
    M Reeta
    2024 2nd International Conference on Disruptive Technologies, ICDT 2024, 687–692 , 2024
    2024
    Citations: 6
  • Strategies: to defeat ransomware attacks
    R Mishra
    International Journal of Engineering Research and General Science 5 (4), 112-116 , 2017
    2017
    Citations: 6
  • Phishing Attack Types & Preventive Measures
    R Mishra
    Imperial Journal of Interdisciplinary Research (IJIR) 2 (10) , 2016
    2016
    Citations: 6
  • Advanced Data Guard Techniques for High Availability in Oracle Databases
    D Yadav, R Mishra
    International Journal of Multidisciplinary Innovation and Research … , 2024
    2024
    Citations: 5
  • A Comprehensive Study on Detection of Cyber-Attack using ML Techniques & Future Scope
    R Mishra
    International Journal of Engineering Research in Computer Science and … , 2023
    2023
    Citations: 4
  • Augmented Reality-Powered Footwear Customization Hub: Enhancing the Shopping Journey
    R Mishra
    2025 International Conference on Cognitive Computing in Engineering … , 2025
    2025
    Citations: 3
  • Sorting Machine for Fruits and Vegetables for Agricultural Advancements using IoT
    R Mishra
    International Journal of Research and Review in Applied Science, Humanities … , 2024
    2024
    Citations: 3
  • Blending AI and Deep Learning for Visual Arts Development to Explore a new Aesthetic Dimension
    R Mishra
    International Journal of Research and review in Applied Science, Humanities … , 2025
    2025
    Citations: 2
  • Enhancing IT Audit Readiness through Automated Evidence Collection in ServiceNow
    R Mishra
    Scientific Journal of Artificial Intelligence and Blockchain Technologies 2 … , 2025
    2025
    Citations: 1
  • Web Scraping for Job Listings Using Python and BeautifulSoup
    R Mishra
    Scientific Journal of Artificial Intelligence and Blockchain Technologies 2 … , 2025
    2025
    Citations: 1