Dr. D. Aju
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Dr. D. Aju

Associate Professor
Information Security Division, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India


Highest Degree
Ph.D. in Computer Science and Engineering from VIT University, India

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Area of Interest:

Computer Sciences
100%
Tomography Simulation
62%
Computer Application
90%
Image Processing
75%
Robotics
55%

Research Publications in Numbers

Books
0
Chapters
4
Articles
35
Abstracts
17

Selected Publications

  1. Thatipalli, A.R., P. Aravamudu, K. Kartheek and A. Dennisan, 2022. Exploring and comparing various machine and deep learning technique algorithms to detect domain generation algorithms of malicious variants. Comput. Sci. Inf. Technol., 3: 94-103.
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  2. Vishva, E.S. and D. Aju, 2021. Phisher fighter: Website phishing detection system based on URL and term frequency-inverse document frequency values. J. Cyber Secur. Mobility, 11: 83-104.
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  3. Sushitha, S.J. and D. Aju, 2021. LSOA optimized curve fitting-based 3D reconstruction of brain tumor. Int. J. Performability Eng., 17: 1016-1026.
    CrossRef  |  Direct Link  |  
  4. Kapoor, P., P. Agrawal and D. Aju, 2021. Analyzing password decryption techniques using dictionary attack. Int. J. Adv. Res., 9: 515-523.
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  5. Aju, D., K.V.B. Pavani and Y. Haripriya, 2017. Dynamic behavioral representation of 3D objects by insinuating mass spring system. Res. J. Pharm. Biol. Chem. Sci., 8: 1646-1653.
  6. Ghosa, S., Karishma and D. Aju, 2016. Detection and visualization of brain tumour using DICOM images. Int. J. Tomography Simul., 29: 30-42.
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  7. Aju, D. and R. Rajkumar, 2016. T1-T2 weighted MR image composition and cataloguing of brain tumor using regularized logistic regression. J. Teknologi, 78: 149-159.
  8. Aju, D. and R. Rajkumar, 2016. A multi-stage hybrid CAD approach for MRI brain tumor recognition and classification. IIOAB J., 7: 7-20.
  9. Suresh, S., M. Varghese and D. Aju, 2015. An efficient and optimized RC5 image encryption algorithm for secured image transmission. Int. J. Imag. Robot., 15: 116-125.
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  10. Aju, D. and R. Rajkumar, 2015. Locale detection, identification and significant feature extraction of brain tumor by manipulating MR images. Int. J. Pharm. Bio Sci., 6: 291-304.
  11. Lal, A.M., M. Balaji and D. Aju, 2014. Multi-level fusion of CT and MRI brain images for classifying tumor. Int. J. Enhanced Res. Manage. Comput. Applic., 3: 34-40.
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  12. Lal, A.M., Dinesh and D. Aju, 2014. Abnormality extraction of MRI brain images using region growing segmentation techniques. Int. J. Enhanced Res. Sci. Technol. Eng., 3: 76-82.
  13. Lal, A.M. and D. Aju, 2014. Analysis of lung nodules using texture analysis in medical images. Int. J. Scient. Res. Dev., 2: 120-124.
  14. Aju, D. and B.K. Ray, 2013. Quantification and analysis of 3D magnetic resonance image brain tumor. Int. J. Tomography Simul., 24: 17-26.
  15. Aju, D., A.M. Lal and R.S. Dangeti, 2011. Efficient identification of facial expressions through eigen faces. Int. J. Adv. Eng. Sci. Technol., 10: 26-30.