Arul Kumar Natarajan

Arul Kumar NatarajanArul Kumar Natarajan currently serves as an Assistant Professor in the Department of Computer Science at the Samarkand International University of Technology in Uzbekistan. He earned his Doctor of Philosophy degree from Bharathidasan University, India 2017. Concurrently, he is engaged in postdoctoral research in Generative AI for Cybersecurity at the Singapore Institute of Technology, Singapore. Throughout his 14-year teaching career, Dr. Arul has held esteemed positions at various institutions, including Christ University, Bishop Heber College in India, and Debre Berhan University in Ethiopia. Dr. Arul has made significant contributions to academia, specializing in cybersecurity and artificial intelligence, evidenced by his portfolio of scholarly works. He has authored 32 international publications indexed in Scopus and 03 international publications and has delivered 34 conference presentations. Additionally, he has edited and published two books with IGI Global Publisher, USA. In addition to his academic pursuits, Dr. Arul is a prolific innovator, holding 17 patents in India and 01 granted patent in the United Kingdom across diverse domains, including communication and computer science. He demonstrates proficiency in Networking and Cybersecurity, having completed the CCNA Routing and Switching Exam from CISCO and the Networking Fundamentals exam from Microsoft. He maintains a sincere interest in GenAI for Cybersecurity.

Publications

Intersection of AI and Business Intelligence in Data-Driven Decision-Making
Arul Kumar Natarajan, Mohammad Gouse Galety, Celestine Iwendi, Deepthi Das, Achyut Shankar. © 2025. 360 pages.
In today's rapidly evolving business landscape, organizations are inundated with vast amounts of data, making it increasingly challenging to extract meaningful insights and...
Data Analytics and AI for Quantitative Risk Assessment and Financial Computation
Mohammad Gouse Galety, Jimbo H. Claver, A. V. Sriharsha, Narasimha Rao Vajjhala, Arul Kumar Natarajan. © 2025. 330 pages.
In today's fast-paced financial landscape, professionals face an uphill battle in effectively integrating data analytics and artificial intelligence (AI) into quantitative...
Geospatial Application Development Using Python Programming
Mohammad Gouse Galety, Arul Kumar Natarajan, Tesfaye Fufa Gedefa, Tsegaye Demsis Lemma. © 2024. 344 pages.
Academics and researchers currently grapple with a pressing issue; the demand for precise and insightful geographical information has surged across various fields, encompassing...
Ethics, Machine Learning, and Python in Geospatial Analysis
Mohammad Gouse Galety, Arul Kumar Natarajan, Tesfaye Fufa Gedefa, Tsegaye Demsis Lemma. © 2024. 339 pages.
In geospatial analysis, navigating the complexities of data interpretation and analysis presents a formidable challenge. Traditional methods often need to efficiently handle vast...
Python Programming for Geospatial Applications: Web Mapping, Interactive Visualization, and Beyond
Deepthi Das, Arul Kumar Natarajan. © 2024. 23 pages.
Geospatial solutions represent a pivotal toolset for analyzing, interpreting, and visualizing spatial data across diverse domains, facilitating informed decision-making and...
Exploring Vector and Raster Data Formats for Geospatial Visualization With Python
Marsel Sonu M., Deepthi Das, Arul Kumar Natarajan, Manimaran A.. © 2024. 24 pages.
The chapter uses Python to explore vector and raster data formats within geospatial visualization. It highlights their pivotal role across diverse environmental science, urban...
Advanced Applications of Python Data Structures and Algorithms
Mohammad Gouse Galety, Arul Kumar Natarajan, A. V. Sriharsha. © 2023. 298 pages.
Data structures are essential principles applicable to any programming language in computer science. Data structures may be studied more easily with Python than with any other...
Organizing Data Using Lists: A Sequential Data Structure
Saleem Raja Abdul Samad, N. Arulkumar, Justin Rajasekaran, R. Vinodini, Pradeepa Ganesan. © 2023. 17 pages.
Computer programming aims to organize and process data to get the desired result. Software developer chooses a programming language for application development based on the data...
Optimizing Energy Consumption in Wireless Sensor Networks Using Python Libraries
Jency Jose, N. Arulkumar. © 2023. 14 pages.
Wireless sensor networks (WSNs) are widely utilized in various fields, including environmental monitoring, healthcare, and industrial automation. Optimizing energy consumption is...
An Exploratory Study of Python's Role in the Advancement of Cryptocurrency and Blockchain Ecosystems
Agrata Gupta, N. Arulkumar. © 2023. 17 pages.
Blockchain is the foundation of cryptocurrency and enables decentralized transactions through its immutable ledger. The technology uses hashing to ensure secure transactions and...
Exploring the Role of Python in Self-Supervised Contrastive Learning for Generating Medical Imaging Reports
Rahul Kumar, N. Arulkumar. © 2023. 13 pages.
This chapter investigates Python's involvement in self-supervised contrastive learning (SSCL) for medical imagery with report generation. The research highlights the...
Python's Role in Predicting Type 2 Diabetes Using Insulin DNA Sequence
Aswathi Sasidharan, N. Arulkumar. © 2023. 13 pages.
This chapter examines how Python can assist in predicting type 2 diabetes using insulin DNA sequences, given the substantial problem that biologists face in objectively...
A Comprehensive Review on Blockchain-Based Internet of Things (BIoT): Security Threats, Challenges, and Applications
Manimaran A., Chandramohan Dhasarathan, Arulkumar N., Naveen Kumar N.. © 2022. 20 pages.
The internet of things (IoT) represents rapid development in research and industry that enables both virtual and physical objects to be linked and transfers information in order...