Shafi’i Muhammad ABDULHAMID received his PhD in Computer Science from Universiti Teknologi Malaysia (UTM), MSc in Computer Science from Bayero University Kano (BUK), Nigeria and a Bachelor of Technology in Mathematics/Computer Science from the Federal University of Technology Minna, Nigeria. His current research interests are in Cyber Security, Cloud computing, Soft Computing and BigData. He has published many academic papers in reputable International journals, conference proceedings and book chapters. He has been appointed as an Editorial board member for UPI JCSIT and IJTRD. He has also been appointed as a reviewer of several ISI and Scopus indexed International journals such as JNCA Elsevier, ASOC Elsevier, EIJ Elsevier, JKSU-CIS Elsevier, NCAA Springer, BJST Springer, IJNS, IJST, IJCT, JITE:Research, JITE:IIP, JAIT, IJAER and JCEIT SciTechnol. He is a member of IEEE, International Association of Computer Science and Information Technology (IACSIT), Computer Professionals Registration Council of Nigeria (CPN), International Association of Engineers (IAENG), The Internet Society (ISOC), Cyber Security Experts Association of Nigeria (CSEAN) and Nigerian Computer Society (NCS). Presently he is a lecturer at the Department of Cyber Security Science, Federal University of Technology Minna, Nigeria.
Cloud computing system is a huge cluster of interconnected servers residing in a data center and dynamically provisioned to clients on-demand via a front-end interface on pay-per-use economic plan. Recently, a number of metaheuristics optimization techniques have been mostly applied to address the challenges of task scheduling in the cloud system being a Non-deterministic Polynomial time (NP-hard) problem without much emphasis on the issue of fault tolerance awareness. In my PhD thesis titled “Fault Tolerance Aware Task Scheduling Techniques for Cloud Computing Environment”, I developed tasks scheduling techniques using an enhanced computational intelligence algorithm called League Championship Algorithm (LCA) in cloud computing system with emphasis on fault tolerance awareness by extending the algorithm to be dynamic, clustered and checkpointed. I have published large body of scientific research work related to resource management in cloud computing in high impact journals and indexed conferences. Before that, I have contributed in the area of cyber security, which includes; spam detection using novel classification algorithms, cyber forensic analysis, internet content filters and resource allocation in cloud and grid systems. I also published some quality researches in dynamic interactive 3D mobile navigation aid and Support Vector Machine classification of computational capabilities of 3D map on mobile devices.
Presently, my current research interests have been diversified to new emerging trends in computer science. I have large number of research manuscripts that are waiting to be published or under review in high impact journals in the areas of Bigdata, IoT security, Soft Computing, Ransomware attacks, Ponzi schemes, Pyramid Schemes, Cryptography, Steganography and Cloud computing. In addition, we are currently carrying out a research on “Protecting the Public Core of the Internet Services”in collaboration with the Global Commission on the Stability of Cyberspace (GCSC), Hague, Netherlands and another ongoing research is on “Secure e-examination systems in tertiary institutions”.
My future research plans include but not limited to the integration of next generation multimedia applications in cloud computing environment with special emphasis on high performance, QoS and fault tolerance during streaming. Furthermore, I hope to explore more on the security of multimedia applications at different levels of cloud services i.e Platform, Software and Infrastructure layers. Other aspects of cloud technology that I planned to intensify my research on are; the applications of new soft computing algorithms in new emerging cloud services like the Fog, Edge, Cloudlet, Ad hoc cloud, Volunteer cloud, Multi-cloud and Software-defined cloud computing. I also have some prospective future research plans in the areas of improving the performance of computational intelligence optimization schemes in addressing new multifaceted emerging issues in IoT and Big data analytics.
To summarize, at this point in my career, my primary interests are in Bigdata, IoT security, Cloud Computing, Soft Computing and Cyber Security. I have pursued these interests to date by conducting different reviews and experiments before, during and after PhD studies. In the long term I see myself working on expanding my expertise in these areas by a mixture of experimental and empirical work.
Shafi’i Muhammad Abdulhamid, PhD
Cyber Security Science Department, Federal University of Technology Minna, Nigeria.