Dr. ArunKumar Sivaraman

Title: Assistant Professor
Email: arunkumar@gulfcollege.edu.om
Ext.#: 149

Artificial Intelligence, Machine Learning, Computer Vision, Robotics and Autonomous Systems, Data Engineering, Data Analytics, Database Systems, Cloud Computing and Business Intelligence

Ph.D. in Computer Science and Engineering
Master of Business Administration (MBA) in Education Management
Master of Engineering in Computer Science (M.Eng.)
Bachelor of Engineering in Computer Science (B.Eng.)

Robust Multi-Stage Deep Learning Approach for Facial Recognition and Classification, Neural Computing and Applications, Springer, Vol. 37, pp. 25995–26019, 2025. https://doi.org/10.1007/s00521-025-11609-4   

Spatio-Temporal Modeling of Climate Change Impacts on Farming Using GNN-LSTM with Attention and Ensemble Learning, International Journal of Information Technology, Springer, Vol. 23, 2025. https://doi.org/10.1007/s41870-025-02715-6   

An Efficient Approach for Automatic Crack Detection Using Deep Learning, International Journal of Structural Integrity, Emerald Insight, Vol. 15, No. 3, pp. 434–460, 2024. https://doi.org/10.1108/IJSI-10-2023-0102

Efficient Task Scheduling in Cloud Computing Using a Cnn-Enhanced Sine Cosine Harris Hawk Optimization Algorithm, Elsevier, SSRN, pp. 1-41, 2024. http://dx.doi.org/10.2139/ssrn.4939739

A Novel Approach to Detect Fraud in Ethereum Transactions Using Stacking, Expert Systems, Wiley, pp. 1–17, 2023. https://doi.org/10.1111/exsy.13255  

Intelligent Bi-LSTM with Architecture Optimization for Heart Disease Prediction in WBAN through Optimal Channel Selection and Feature Selection, Biomedicines, MDPI, 11(4), 1167, 2023.  https://doi.org/10.3390/biomedicines11041167   

Clustering, Routing, Scheduling, and Challenges in Bio-Inspired Parameter Tuning of Vehicular Ad Hoc Networks for Environmental Sustainability, Sustainability, MDPI, 15(6), 4767, 2023. https://doi.org/10.3390/su15064767

Machine-Learning-Based Diabetes Mellitus Risk Prediction Using Multi-Layer Neural Network No-Prop Algorithm, Diagnostics, MDPI, 13 (4), 723, PP. 1-16, 2023. https://doi.org/10.3390/diagnostics13040723     

Novel optimization approach for stock price forecasting using multi-layered sequential LSTM, Applied Soft Computing, Elsevier, 134, no. 109830, 2023. https://doi.org/10.1016/j.asoc.2022.109830  

Comparative analysis of execution of cnn-based sanguine data transmission with LSB-SS and PVD-SS, Computer Systems Science and Engineering, vol. 46, no.2, pp. 1707–1721, 2023. https://doi.org/10.32604/csse.2023.034270

Securing 3d point and mesh fog data using novel chaotic cat map, Computers, Materials & Continua, vol. 74, no.3, pp. 6703–6717, 2023. https://doi.org/10.32604/cmc.2023.030648

An ensemble based approach for sentiment classification in Asian regional language, Computer Systems Science and Engineering, vol. 44, no.3, pp. 2457–2468, 2023. https://doi.org/10.32604/csse.2023.027979

Multi-attribute group decision-making based on hesitant bipolar-valued fuzzy information and social network, Computer Systems Science and Engineering, vol. 44, no.3, pp. 1939–1950, 2023. https://doi.org/10.32604/csse.2023.026254

A Review on Data-Driven Quality Prediction in the Production Process with Machine Learning for Industry 4.0, MDPI, 10, 1966, pp. 1-29, 2022.

https://doi.org/10.3390/pr10101966

Deep Learning and Computer Vision Based Model for Detection of Diseased Mango Leaves, International Journal on Recent and Innovation Trends in Computing and Communication, vol. 10, no. 6, pp. 70-79, 2022.

https://doi.org/10.17762/ijritcc.v10i6.5555  

A Study on Interval-Valued Fuzzy Graph with Application in Energy Industry Management, Discrete Dynamics in Nature and Society, Wiley, vol. 2022, Article ID 8499577, 9 pages, 2022. https://doi.org/10.1155/2022/8499577

A new method for centrality measurement using generalized fuzzy graphs, Discrete Dynamics in Nature and Society, Wiley, vol. 2022, no. 4704409, pp. 1-7, 2022. https://doi.org/10.1155/2022/4704409

Decentralized link failure prevention routing (dlfpr) algorithm for efficient internet of things, Intelligent Automation & Soft Computing, vol. 34, no.1, pp. 655–666, 2022. https://doi.org/10.32604/iasc.2022.024134

Effective Classification of Synovial Sarcoma Cancer Using Structure Features and Support Vectors, CMC-Computers, Materials & Continua, 72(2), 2521–2543, 2021. https://doi.org/10.32604/cmc.2022.025339

Breast Mammogram Analysis and Classification Using Deep Convolution Neural Network, Computer Systems Science and Engineering, vol. 43, no. 1, pp. 275–289, 2022. https://doi.org/10.32604/csse.2022.023737

Prognostic Kalman Filter Based Bayesian Learning Model for Data Accuracy Prediction, Computers, Materials & Continua (CMC), Vol.72, No.1, pp.243-259, 2022. https://doi.org/10.32604/cmc.2022.023864

Abnormality Identification in Video Surveillance System using DCT, Intelligent Automation & Soft Computing, vol. 32, no. 2, pp. 693-704, 2021.

https://doi.org/10.32604/iasc.2022.022241

Synovial Sarcoma Classification Technique Using Support Vector Machine and Structure Features, Intelligent Automation & Soft Computing, vol. 32, no. 2, pp. 1241-1259, 2021. https://doi.org/10.32604/iasc.2022.022573

Energy and Bandwidth Based Link Stability Routing Algorithm for IoT, Computers, Materials & Continua (CMC), vol. 70, no. 2, pp. 3875-3890, 2021. https://doi.org/10.32604/cmc.2022.020744

Time Optimization of Unmanned Aerial Vehicles Using an Augmented Path, Future Internet, MDPI, vol. 13, no. 12, 308, pp. 1-13, 2021. https://doi.org/10.3390/fi13120308

Indian Currency Recognition and Verification using Transfer Learning, International Journal of Mathematics and Computer Science, vol. 15, no. 4, pp. 1279-1284, 2020. https://doi.org/10.6084/m9.figshare.16944082

Web-acl based dos mitigation solution for cloud, Advances in Mathematics: Scientific Journal, vol. 9, no. 7, pp. 5105-5113, 2020. https://doi.org/10.37418/amsj.9.7.76

Dr. ArunKumar Sivaraman is an academic and research professional with over 15 years of experience across higher education, research centres, and industries in India, Canada, Oman, UK, and USA. He joined Gulf College in 2025 as an Assistant Professor, where he is responsible for planning and delivering modules aligned with learning outcomes, developing teaching and assessment materials, supervising student projects, and applying innovative teaching methods to enhance student engagement and independent learning. He also contributes to curriculum improvement, programme reviews, moderation, and quality assurance processes, while integrating research-informed practice into teaching.

He received his Ph.D. in Computer Science and Engineering (Specialized in Robotics & Machine Intelligence) from Manonmaniam Sundaranar University (Govt.) in 2018. He completed his Master of Engineering in Computer Science from Anna University (CEG, Guindy Campus – QS Rank 465) in 2010 and his Bachelor of Engineering in Computer Science from Anna University in 2006. In addition, he holds an MBA in Educational Management from Alagappa University and a Project Management Professional (PMP) certification from the Project Management Institute (PMI), reflecting strong competence in both academic leadership and research project delivery.

Dr. Arun has contributed extensively to R&D initiatives in Robotics and Machine Intelligence and has led and supported funded research projects in applied artificial intelligence. He previously served at Algoma University Canada as a Research Scientist, Photon Infotech Canada & USA as a Project Manager, Cognizant Technology Solution India as a Lead Data Analyst and Vellore Institute of Technology (VIT University – QS Rank 691) India as an Assistant Professor (Senior Grade). He is an active board member of the Robotics Research Center at Esckimo  Robotics Inc., USA & Canada, and serves as an external research contributor at the University of Central Lancashire (UCLan), United Kingdom and Algoma University Canada. His research team has secured competitive funding of approximately 300K USD from international bodies such as MITACS (Canada), OMAFRA (Canada), and the Ministry of Higher Education, Research and Innovation (MoHERI), Oman, focusing on addressing national priorities through machine intelligence solutions.

He has published over 50 research papers in reputed Scopus and SCI-indexed journals, with research outputs reported in Q1/Q2-ranked venues, and he has authored books in the fields of Artificial Intelligence and Big Data with Taylor & Francis / CRC Press. His scholarly work has attracted over 900+ citations in Scopus and more than 1,500 citations in Google Scholar, with an h-index of 21. He also holds five patents registered across the UK, Canada, and Australia in the domain of applied machine intelligence, demonstrating practical innovation alongside academic contributions.

Dr. Arun actively contributes to the global research community through editorial and peer-review activities and international academic service. He serves as an invited reviewer for journals published by Elsevier, Wiley, MDPI, and Springer (WOS/SCI indexed), and he is a Technical Committee Member for IEEE conferences. He also participates in international doctoral committees and editorial roles, and holds membership in professional bodies including the IEEE Computational Intelligence Society and the IEEE Quantum Technical Community, while also engaging in board activities associated with the IEEE Toronto Section in Canada.

His technical expertise includes machine learning, deep learning, computer vision, artificial intelligence, data analytics, cloud computing, and database systems, with experience in developing predictive models and decision-support solutions across agriculture, healthcare, disaster management, and smart city applications. Alongside technical leadership, he has successfully led multidisciplinary teams, managed international research grants, supervised postgraduate research, and supported institutional quality assurance and academic development initiatives.