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The topics covered by this journal include, but not limited to, the following topics:
The journal will publish papers in intelligent systems technology and application in the areas of, but not limited to:
The topics covered by this journal include, but not limited to, the following topics:
International Journal of Communication Networks and Information Security (IJCNIS) is a scholarly
peer reviewed international scientific journal published three times in a year, focusing on
theories, methods, and applications in networks and information security. It provides a
challenging forum for researchers, industrial professionals, engineers, managers, and policy
makers working in the field to contribute and disseminate innovative new work on networks and
information security.
The topics covered by this journal include, but not limited to, the
following topics:
The scope of this journal covers but is not limited to:
The scope of the journal is segmented into the following subjects, but not limited to:
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The journal's multidisciplinary approach draws from such fields as
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The following topics are of interest to the JPB Review:
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The following topics are of interest to the RGS review
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The following topics are of interest to the Bmed+H review
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The following topics are of interest to the IJANP review
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The following topics are of interest to the ICT review
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The following topics are of interest to the CIMLreview
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The following topics are of interest to the IRAS review
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The following topics are of interest to the ASH review
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The following topics are of interest to the EBS review
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The following topics are of interest to the EIB review
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The following topics are of interest to the AEE review
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The following topics are of interest to the ADA review
Dr. Shilpa Bade-Gite is a Professor and Head of the Department of Artificial Intelligence and Machine Learning at Symbiosis Institute of Technology, Pune, and a Research Faculty at the Symbiosis Centre for Applied AI. With over 17 years of experience, she is recognized for her work in AI, Machine Learning, Deep Learning, computer vision, and AI-driven automation, particularly in healthcare, autonomous systems, and biometric security. She is listed in the Stanford/Elsevier Top 2% Scientists 2025. Dr. Gite has authored 230+ research publications, including over 150 journal papers with strong visibility in top-tier journals, accumulating over 2,900 citations. She serves as a Guest Editor for leading SCI/Scopus-indexed journals and has edited books with De Gruyter and Springer. Her research collaborations span across Australia, the UK, South Korea, Malaysia, and the USA. As an academic leader, Dr. Gite has overseen curriculum development, accreditation processes, and several Centres of Excellence in collaboration with organizations like Tech Mahindra, Skoda, Intel, Bajaj Auto, and Philips India. She has mentored 5 PhD scholars and delivered 30+ expert talks at prestigious institutes including IIT Kharagpur and MNIT Jaipur. Her vision includes global alliances, interdisciplinary research, and the establishment of Centres of Excellence to drive innovation and societal impact.
Dr. B. Amutha is a Professor in the Department of Computing Technologies at SRM Institute of Science and Technology, with over three decades of academic experience. She holds a PhD in Computer Science and Engineering from SRM IST and has extensive expertise in 5G technologies, Cognitive Radio, SDN, IoT, Wireless Computing, and Smart City solutions. Dr. Amutha has an exceptional research record, with over 200 Scopus-indexed publications, 875 citations, an h-index of 15, and numerous SCI articles and book chapters. She has also published ten patents, six of which have been granted. A dedicated educator, she has guided eight PhD scholars and continues to mentor eight more. Her teaching portfolio includes advanced courses such as Wireless Sensor Networks, Cooperative Communication Systems, and Network Protocols. Dr. Amutha has received several awards for research excellence, reflecting her commitment to innovation and impactful scholarly contributions.
Assoc. Prof. Dr. Azurah A. Samah is an academic and researcher at the Faculty of Computing, Universiti Teknologi Malaysia (UTM). She specializes in Artificial Intelligence, Machine Learning, and Deep Learning, with applications in medical and dental imaging. Her expertise areas, include Soft Computing, Computation Mathematics and Statistics, and advanced Deep Learning for Machine Learning. Dr. Azurah holds a PhD in Operational Research from the University of Salford, United Kingdom (2010), a Master’s degree from the University of Southampton (1996), and a Bachelor’s degree in Computer Science from Universiti Teknologi Malaysia (1993) Over the years, she has built a strong academic foundation that bridges quantitative modelling, optimization techniques, and modern AI-driven methods. Her current research focuses on developing deep learning frameworks for medical and dental image classification, particularly involving X-rays, CT scans, and other radiographic modalities. She actively collaborates with clinicians and dental specialists to design AI systems that enhance diagnostic accuracy, support early disease detection, and improve clinical workflow efficiency.
Dr. K. Anitha is an Associate Professor in the Department of Computing Technologies, School of Computing, at SRM Institute of Science and Technology, Kattankulathur. She holds an M.E. in Computer Science and Engineering from Anna University, Chennai (2007), and a Ph.D. in Information and Communication Engineering from the same institution (2017). With 20 years of teaching experience, Dr. Anitha has authored over 50 research papers in renowned journals and conferences. Her research interests include Machine
Dr. PL. Chithra is the Professor and Head in the Department of Computer Science at the University of Madras. She has more than 33 years of experience in teaching. She has been serving as Organizing Chair and Program Chair of several International conferences, and Program Committees of several International conferences. Ph.D. and M.Phil. Research supervisor for Guiding Image Processing Techniques, Big data analytics, Medical Image Processing, Deep learning models, and Network Security. She has published more than 135 papers in national and international journals with 245 citations, 10 h-index, and 11 i10 index.
Dr. S. Ramalingam is a chemical engineer turned biotechnologist with expertise in the fermentation of genetically engineered systems in bacteria. With over five years of industrial experience in major pharmaceutical companies, he has developed and transferred technology for cellulase enzyme synthesis to Hindustan Petroleum for their 2G ethanol process. His current research focuses on cell-free metabolic engineering, multi-enzyme one-pot processes, and the development of novel biochemical pathways for the synthesis of Active Pharmaceutical Ingredients (APIs). Notable projects include the high-yield synthesis of L-Aminobutyrate and the development of novel chemo-enzymatic processes for products like carnosine, citramalate, and beta-alanine. Dr. Ramalingam’s Ph.D. work focused on the fermentation and purification of recombinant streptokinase in E. coli, and his research also includes the metabolic engineering of E. coli and lactic acid bacteria for the production of green chemicals and biopolymers.
Prof. Dr. Yahia Kourd received his Ph.D. degree in Automatic and Control Engineering from the University of Annaba, Algeria, in 2012. He is currently a Professor at the University of Souk Ahras and a member of the Laboratory of Electrical Engineering and Renewable Energy. He was a visiting researcher at GREAH, Le Havre, France, from 2009 to 2013, and has established numerous collaborative research projects with teams in France, Germany, Tunisia, and Italy. Prof. Kourd has published more than 140 papers in international journals and conferences, contributed several book chapters, co-edited a book, and successfully supervised 13 Ph.D. theses. His research interests include fault diagnosis, prognostics, signal and image processing, and robotics.
Prof. Mohammed Belloufi is a mathematician and university professor at Mohamed-Chérif Messaadia University, Souk Ahras, Algeria, where he serves as Head of the Laboratory of Computer Science and Mathematics (LIM) and leader of the research team “Evolution Equations and Stochastic Calculus.” He obtained his Ph.D. in Mathematics (2014) and his Habilitation à Diriger des Recherches (HDR) in 2016. His research focuses on numerical analysis, nonlinear optimization, unconstrained and constrained optimization methods, and conjugate gradient algorithms. Pr. Belloufi has published extensively in international journals such as RAIRO–Operations Research, Numerical Functional Analysis and Optimization, and the Asian-European Journal of Mathematics. He has supervised several Master’s and Ph.D. theses and actively collaborates with international researchers, notably at the University of Limoges (France).
Dr. Nallammai Singaram is a senior lecturer and researcher specializing in plant tissue culture, biochemical profiling, molecular biology, and data analytics. With over 30 years of experience, she has extensive expertise in in vitro cultivation and micropropagation of ornamental, medicinal, and crop plants, as well as the extraction of secondary metabolites such as artemisinin. Her experience spans both commercial and academic laboratories, including consultancy on large-scale plant propagation projects. At Taylor’s University, she teaches Crop Biotechnology, Introduction to Biotechnology, and Biostatistics, integrating research-driven learning to nurture future biotechnologists. Her current research explores molecular markers, green nanoparticles, and transcriptomic analysis of bioactive plant compounds. Dr. Nallammai has contributed to multiple projects and published in SCOPUS- and ISI-indexed journals. Her commitment to advancing sustainable biotechnology continues to drive her research in molecular and environmental applications of plant science.
Dr. Akilandeswari is an Associate Professor in the Department of Computing Technologies at SRM Institute of Science and Technology (SRMIST), Chennai, with over 19 years of dedicated experience in teaching and research. She is an enthusiastic Machine Learning developer with expertise in Neural Networks, Data Science, and Generative AI. She received her B.E. in Electronics and Communication Engineering, M.E. in Computer Science and Engineering, and Ph.D. in Computer Science and Engineering. Her research and industrial collaborations include projects with Samsung, Intel, and several multidisciplinary initiatives. Her achievements include receiving the Excellence Award in Samsung Prism Worklets, serving as an active Book Reviewer for Taylor & Francis and CRC Press, and publishing over 20 research papers in reputed international journals and conferences. With a strong academic foundation and deep engagement in industry collaborations, Dr. Akilandeswari is committed to advancing AI-driven technologies and bridging the gap between research and real-world applications.
Prof. Ir. Dr. Mohammed Alias Yusof is an Professor in the Department of Civil Engineering, Universiti Pertahanan Nasional, Malaysia. He graduated with B. Eng (Hons) degree in Civil Engineering from Universiti Teknologi Malaysia (UTM), MSc. degree in Integrated Construction Project Management from Universiti Teknologi Mara (UiTM) and PhD degree in Civil Engineering from Universiti Pertahanan Nasional Malaysia. He is a Professional Engineer registered with the Board of Engineer Malaysia. His main research interests are in the blast resistant materials such as concrete, glass, and also military and commercial explosives. He has developed a blast resistant concrete and had obtained the patent for the blast resistant concrete panel from Intellectual Properties Corporation of Malaysia (MyIPO) Dr Mohammed Alias Yusof is author of " Blast Resistant Materials : Concrete and Glass", book. Dr. Mohammed Alias has published extensively in the areas of blast resistant materials and technology, with a total publication count of more than 100, has served as reviewer for prestigious journals. In 2024, Dr Mohammed Alias Yusof has been awarded a Distinguish Scientist by Venus International Foundation, Chennai, India for his valuable contribution in the field of blast resistant materials and civil Engineering.
Tesfaye Hailu Gk is an accomplished academic, researcher, and entrepreneur with over ten years of experience in education, leadership, and community service. He holds a BA in Management from Mekelle University, an MBA from Dilla University, and is currently pursuing a PhD in Management at Addis Ababa University. Tesfaye has shown exceptional academic performance with a cumulative GPA of 3.72 and 3.97. As an educator, Tesfaye has worked at Jimma University and Kotebe University of Education. He has mentored students, coordinated ICT and e-learning projects, and contributed to strategic planning. His skills include leadership, statistical analysis, and qualitative research. He also has certifications in digital transformation, data analysis, and entrepreneurship from respected institutions like the University of Virginia, Udacity, and YALI. Tesfaye is a dedicated volunteer. He spends his time with the Ethiopian Red Cross Society and mentors young entrepreneurs. His research appears in multiple publications, and he has presented at national conferences on subjects like entrepreneurial ecosystems and industrial parks. Tesfaye speaks English, Amharic, French, and Tigrinya. He is committed to promoting sustainable development and innovative leadership in changing environments. With a goal of making a lasting impact, Tesfaye aims to connect academia, research, and community service to promote positive change.
Dr. Sashikala Mishra is a Professor, Head of the Department of Computer Science and Engineering, and a senior researcher at Symbiosis Institute of Technology, Pune, Symbiosis International (Deemed University). She holds a Ph.D. in Computer Science and Engineering and has completed a Post-Doctoral Fellowship at National Taipei University, Taiwan. She has also served as a Visiting Professor at Sunway University. Dr. Mishra has over a decade of academic and research experience, with expertise in Agentic AI, Artificial Intelligence & Machine Learning, Knowledge Graphs, Data Science, and Intelligent Systems. She has published extensively in reputed journals and conferences, with 70+ Scopus-indexed publications, and serves as a reviewer for several Q1–Q4 journals and IEEE/Springer conferences. She is the recipient of multiple national and international awards, including the Prof. Indira Parikh 50 Women in Education Leaders Award, Dewang Mehta Best Professor Award, and Distinguished Researcher Award. An active member of ACM, IEEE, ISTE, and other professional bodies, she has also played a key role in mentoring Ph.D. scholars and leading impactful student initiatives through the SIT ACM Student Chapter.
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