Dr. Neenu Kuriakose

Dr. Neenu Kuriakose
Assistant Professor

PhD, MPhil, MCA

neenukuriakose@rajagiricollege.edu.in

Dr. Neenu Kuriakose

Assistant Professor, Department of Computer Science

Profile Summary

Dr. Neenu Kuriakose is an accomplished academic, researcher, and innovation-driven educator specializing in Artificial Intelligence, Cybersecurity, and Machine Learning. She has authored multiple books, published research in Scopus-indexed journals, filed international patents, and delivered expert sessions at institutions across India.

She has represented India on global platforms, including the World Summit on the Information Society (WSIS) and AI for Good, organized by the International Telecommunication Union (ITU), United Nations, Geneva.

Her professional contributions span AI security, IoT defence mechanisms, machine learning applications, blockchain integration, and intelligent automation systems.

Educational Qualifications

  • Ph.D. in Computer Science

  • M.Phil. in Computer Science

  • Master of Computer Applications (MCA)

  • Bachelor of Computer Applications (BCA)

Areas of Specialization

  • Artificial Intelligence

  • Cybersecurity

  • Machine Learning

Books Authored

  • AI-Driven Intelligent Newsrooms

  • Cyber Defence Essentials: Protecting Your Digital World

  • The Future of AI: Trends in Neural Networks & Deep Learning

  • Fundamentals of Python

  • Communication Networks: Principles and Approaches

Research Publications

Journal Articles

  • “MQTT Attack Detection Using Machine Learning Algorithm,” Lecture Notes in Network and Systems (Scopus Indexed)

  • “Blockchain for IoT Security and Confidentiality Improvement,” Machine Intelligence Research (Scopus Covered)

  • “Convergence of Blockchain–IoT for a Secured System,” Journal of Jilin University

  • “Significance of Dexterity and Experience in Structured Query Language”

  • “Internet of Things (IoT) Influences Revolution in Digital Communication,” International Journal of Computing & Decision Sciences

  • “Crop Analysis, Clustering and Prediction Using Machine Learning,” IJMTST

  • “Fake News Detection Using Machine Learning,” IJMTST

Invited Talks, Workshops, FDPs & Conferences

  • Resource Person in Artificial Intelligence and Cybersecurity, delivering 25+ expert sessions across various colleges.

  • Invited Speaker, World Summit on the Information Society (WSIS), Geneva – organized by ITU, United Nations.

  • Participant, AI for Good, Geneva – organized by ITU, UN.

  • National-Level Finalist, Pragya Tech Competition conducted by the Ministry of Education (MoE) and the Indian Knowledge Systems (IKS) Division.

Paper Presentations

  • “Machine Learning-Based Enhancement of Trading and Business Enterprises” – ICSCDS 2023

  • “Gender and Age Classification Enabled Blockchain Security Mechanism” – IC3I 2022

Editorial & Peer Review Roles

  • Editorial Board Member – IJEAT (Scopus Indexed)

  • Editorial Board Member – Lattice Science Publications

  • Reviewer-ASTES(Advances in Science, Technology and Engineering Systems Journal )

Patents & Design Registrations

Patents

  • Blockchain Enabled Intelligent IoT Architecture with AI – Published

  • Intelligent IoT-Based Smart Irrigation System Using Cloud Computing – Published

  • IoT-Based Management and Prediction of Currency Flow Through UPI TransactionsCanadian Patent Granted & Copyright Approved

International Design Registrations (United Kingdom)

  • UK Registered Design (Design No. 6365593)

    Apparatus and Devices for Checking Security

    • Registration Date: 13 May 2024

    • Grant Date: 31 May 2024

    • Classification: Class 10; Subclass 05

  • UK Registered Design (Design No. 6399048)

    Computer Device for Personalized News Video Storage

    • Registration Date: 18 October 2024

    • Grant Date: 13 November 2024

    • Classification: Class 14; Subclass 02

Awards & Recognitions

  • Best Research Scholar Award, Novel Research Academy, India (2021)

  • Indo-Asia Best Researcher in Computer Security (2022)

Professional Strengths

  • Expertise in applying AI and ML techniques to real-world cybersecurity challenges.

  • Strong research track record with international publications and patents.

  • Ability to deliver high-quality academic content and hands-on technical training.

  • Active contributor to global discussions on responsible AI and digital governance.

Research Interests

  • AI-driven Cybersecurity

  • IoT Security and ML-Enabled Threat Detection

  • Blockchain-Based Secure Architectures

  • Deep Learning and Intelligent Decision Systems

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