Selected Recent Peer Reviewed Journal Publications

[J01] Sharma, P., Kiron, S. P., Aju, D., & Lal, A. M. (2025). An enhanced security framework for secured transfer of DICOM images by ensuring the CIA triad. Multimedia Tools and Applications, Springer. 1-26. [SCOPUS] [WoS] [IF: 3.0]

[J02] Devadason, J. R. & Aju, D. (2025). A comprehensive survey of image compression methods: from prediction models to advanced techniques. Multimedia Tools and Applications, Springer. 1-39.. [SCOPUS] [WoS] [IF: 3.0]

[J03] Kumar, D. L., Anjaneyulu, G. S. G. N., Valisireddy, J., & Aju, D. (2025). Novel protocol for secure funds transfer over the internet using rotating elliptic curve encryption standard. Journal of Integrated Science and Technology, 13(4), 1078-1078. [SCOPUS] [WoS]

[J04] Patel, D., Trivedi, D., Raval, U., & Aju D. (2024). 2F-Authsys: A hyperlocal two-factor authentication system using Near Sound Data Transfer. Journal of Applied Research and Technology, 22(2), 197-205. [SCOPUS]

[J05] Joseph, S. S., & Aju D. (2023). Three-dimensional reconstruction of brain tumours from 2D MRI Scans: Optimised curve fitting process. International Journal of Biomedical Engineering and Technology, Inderscicence Publishers. 42(4), 377. [SCOPUS] [WoS] [IF: 1.1]

[J06] Sushitha Susan Joseph, Aju D. (2022). Optimized CNN Tumor Based Brain Tumour Detection and 3D Reconstruction, Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, Taylor and Francis, 10(5), pp:1-16, DOI: 10.1080/21681163 [SCOPUS][WoS]

[J07] Sushitha Susan Joseph, Aju D. (2022). An affinity propagated clustering aided computerized Inherent Seeded Region Growing and Deep learned Marching Cubes Algorithm (ISRG-DMCA) based three dimensional image reconstruction approach, International Journal of Imaging Systems Technology, Wiley Periodicals LLC, pp:1-15, DOI:10.1002/ima.22736 [SCOPUS] [SCI] [IF: 2.177]

[J08] Sushitha Susan Joseph, Aju D. (2022). 3D Reconstruction Methods Purporting 3D Visualization and Volume Estimation of Brain Tumors, International Journal of e-Collaboration, IGI Global, 18(1), pp.1-17. DOI: 10.4018/IJeC.290296 [SCOPUS] [WoS] [IF: 2.15]

[J09] Carlos Ankora, Aju D. (2022). Integrating User Stories in the Design of Augmented Reality Application, International Journal of Information Technologies and Systems Approach, Vol: 15, No: 1, IGI Global, pp:1-19, DOI: 10.4018/IJITSA.304809 [SCOPUS] [WoS] [IF: 0.421]

[J10] Aju D, Anil Kumar Kakelli, & Anisha M. Lal. (2022). Exploring News-Feed Credibility using Emerging Machine Learning and Deep Learning Models, Journal of Engineering Science & Technology Review, 15(3), pp:31-37. DOI: 10.25103/jestr.153.04 [SCOPUS]

[J11] E. Sri Vishva, Aju D. (2021). Phisher Fighter: Website Phishing Detection System Based on URL and Term Frequency-Inverse Document Frequency Values, Journal of Cyber Security and Mobility, River Publishers, 11(1), pp. 83-104, DOI: 10.13052/jcsm2245-1439.1114 [SCOPUS]

[J12] Joseph, S. S., Aju D. (2021). LSOA Optimized Curve Fitting-based 3D Reconstruction of Brain Tumor, International Journal of Performability Engineering, 17(12), pp:1016-1026. DOI: 10.23940/ijpe.21.12.p6.10161026[SCOPUS]

[J13] Joseph, S. S., & Dennisan, A. (2020). Three Dimensional Reconstruction Models for Medical Modalities: A Comprehensive Investigation and Analysis, Current Medical Imaging, Bentham Science. 16(6), pp:653-668. DOI:10.2174/1573405615666190124165855 [SCOPUS] [WoS] [IF: 0.5333]

Published Book Chapters

[B01] Carlos Ankora and Aju D, Applying Agile Practices in the Development of Industry 4.0 Applications. In Cyber Security Applications for Industry 4.0, CRC Press, 2022. 978-1-003-20308-7 [SCOPUS]

[B02] Carlos Ankora and Aju D, Integrating Educational Data Mining in Augmented Reality Virtual Learning Environment. In Augmented Intelligence: Deep Leaning, Machine Learning, Cognitive Computing, and Educational Data Mining, Bentham Books, 2022. 978-981-5040-40-1. [SCOPUS]

[B03] Sushitha Susan Joseph and Aju D, Three Dimensional Reconstruction And Digital Printing Of 3D Medical Objects In Purview Of Clinical Applications. In Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications, CRC Press, 2022. ISBN 9781032126876. [SCOPUS]

[B04] Lal, A. M., & Aju, D. Deep Learning Models for Object Detection in Self-Driven Cars. In Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics(pp. 17-38). CRC Press, 2021, ISBN 978-1-003-03845-0, DOI: 10.1201/9781003038450. [SCOPUS]

[B05] D., Aju., Kakelli, A. K., Varma, A. S., & Rajendiran, K. A Comprehensive Confluence of AI, Machine, and Deep Learning in Cyber Forensics (pp. 1-28). IGI Global. 2021. http://doi:10.4018/978-1-7998-4900-1.ch001. [SCOPUS]

[B06] Lal, A. M., Reddy, B. K., & Aju, D. Review on Various Machine Learning and Deep Learning Techniques for Prediction and Classification of Quotidian Datasets. In Recent Advances in 3D Imaging, Modeling, and Reconstruction. (pp. 296-323). IGI Global. 2020. [SCOPUS]