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His academic interests and research specializations focus on Cloud Computing, Internet of Things (IoT), Big Data, Data Science, and Grid Computing. Dr. Surendran maintains a prolific publication record, comprising 373 works from 2012 to 2026, including 89 journal articles, 2 book chapters, and 277 conference proceedings. These publications have accumulated 3557 citations, reflecting an h-index of 28. Key publications include 'Predictive modeling for early diagnosis of dementia using Random Forest Machine Learning Algorithm' co-authored with K. Pradeep and others; 'Deep Learning Based Intelligent Industrial Fault Diagnosis Model Using Optimal Fractal Brown Bear Optimization with Cat Swarm Algorithm'; 'Implementation of Dynamic Scanner to Protect the Network from Internal and External Attacks' (2021); 'IoT forensics: What kind of personal data can be found on IoT devices?' (2022); 'Privacy Preserving Reliable Data Transmission in Cluster Based Underwater Acoustic Sensor Networks'; and 'Internet of Things Powered Predictive Model for Real-Time Monitoring of Air Quality'. His extensive body of work demonstrates substantial impact in advancing computational technologies for diverse applications such as healthcare, network security, environmental monitoring, and industrial processes.