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Innovations in Cybersecurity and Data Science

Innovations in Cybersecurity and Data Science Proceedings of ICICDS 2025

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Algorithms for Intelligent Systems

Innovations in Cybersecurity and Data Science

Proceedings of ICICDS 2025

Syed Muzamil Basha | Hamed Taherdoost | Nebojša Bačanin-Džakula

Computers / Artificial Intelligence / General

This book features research papers presented at International Conference on Innovations in Cybersecurity and Data Science (ICICDS 2025), held at Reva University, Bengaluru, India, during June 2–3, 2025. The book presents original research work in the field of computer science, computer applications, information technology, artificial intelligence, and other relevant fields of IoT, big data, data management and analytics, and security. The book is beneficial for readers from both academia and industry.

Dr. Syed Muzamil Basha is a distinguished professor at the REVA University, Bangalore, and Karnataka, India. He completed his postgraduate degree in Computer Science from the Vellore Institute of Technology at Vellore in 2011 and his Ph.D. in Sentiment Analysis from the Vellore Institute of Technology at Vellore in 2020. He has published more than 65 papers in refereed conferences and journals and has applied for or been granted more than 10 patents. Syed Muzamil Basha is doing his research in text analytics. The objective of his research is to address the challenges being faced in deriving critical knowledge in effective decision making. The area of interest is sentiment analysis, wireless sensor network, and Internet of Things (IOT).

Dr. Hamed Taherdoost is an award-winning leader and research and development professional. He is the founder of Hamta Group | Hamta Business Solution and associate professor and chair of Research and Scholarly Activities Committee at University Canada West. He has over 20 years of experience in both industry and academic sectors. Hamed has been an active multidisciplinary researcher and R&D specialist involved in several academic and industrial research projects. He has been working with researchers from various disciplines and has been actively engaged in different research studies.


Dr. Nebojsa Bacanin received his Ph.D. degrees from Faculty of Mathematics, University of Belgrade   in 2015 (study program Computer Science, average grade 10,00). He was the vice-dean of the Graduate School of Computer Science and faculty of Informatics and Computing in Belgrade, Serbia. He currently works as a full professor and as a vice-rector for Scientific Research at Singidunum University. He is involved in scientific research in the field of computer science and his specialty includes artificial intelligence, machine learning, deep learning, stochastic optimization algorithms, swarm intelligence, soft-computing, optimization and modeling, image processing, computer vision and cloud and distributed computing. He actively works in the domain of novel and prospective research field, hybrid methods between machine learning and metaheuristics, where metaheuristics are applied for addressing non-deterministic polynomial hard (NP-hard) challenges from machine learning domain such as hyper-parameters optimization (tuning), training and feature selection. 


Publication Date: 11 July 2026
Publisher: Springer Nature Switzerland
Imprint: Springer
ISBN-13: 9783032122421
Format: Hardback
Page Count: 904

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