Faculty Members

Dr.Thavavel Vaiyapuri Thangam Thangam

Fellow in HEA, UK and “PSP/TSP” from SEI Associate Professor Department of Computer Sciences College of Computer Engineering & Sciences

Prince Sattam bin Abdulaziz Street, ArRayan, Al Kharj
011-588-+966536490543
t.thangam@psau.edu.sa

Curriculum Vitae
Publications

Education

Doctorate in Computer Science, Madurai Kamaraj University, India
Master in Computer science and Engineering, Anna Univeristy, India
Master of Computer Application, Madurai Kamaraj University, India

Research Interests

Machine intelligence and Big data analytics for cybersecurity
Softcomputing techniques for radiation dose optimization in cancer therapy

Experience

2008 - 2011 - Assistant Professor - Karunya Univeristy, India
2000 - 2005 - Lecturer and Research Associate - Fatima College (Autonomous), India
1999 - 2000 - Lecturer - Arul Ananadar College of Excellence, India
2016 - until now - Assistant Professor - Prince sattam bin Abdulaziz University
2013 - 2016 - Assistant Professor - Prince Sultan University, Saudi Arabia
2011 - 2013 - Associate Professor - Karunya University, India

Publications

[1] Thavavel Vaiyapuri. Deep learning enabled autoencoder architecture for collaborative filtering recommendation in iot environment. Computers, Materials & Continua, 68(1): 487–503, 2021. ISSN 1546-2226. https://www.techscience.com/cmc/v68n1/41833
[2] Thavavel Vaiyapuri and Adel Binbusayyis. Application of deep autoencoder as an one- class classifier for unsupervised network intrusion detection: a comparative evaluation. PeerJ Computer Science, 6:e327, 2020. https://doi.org/10.7717/peerj-cs.327
[3] Adel Binbusayyis and Thavavel Vaiyapuri. Unsupervised deep learning approach for net- work intrusion detection combining convolutional autoencoder and one-class svm. Ap- plied Intelligence, pages 1–15, 2021. https://doi.org/10.1007/s10489-021-02205-9
[4] Thavavel Vaiyapuri and Haya Alaskar. Whale optimization for wavelet-based un- supervised medical image segmentation: Application to ct and mr images. Interna- tional Journal of Computational Intelligence Systems, 13(1):941–953, 2020. https: //doi.org/10.2991/ijcis.d.200625.001
[5] Adel Binbusayyis and Thavavel Vaiyapuri. Identifying and benchmarking key features for cyber intrusion detection: An ensemble approach. IEEE Access, 7:106495–106513, 2019. https://doi.org/10.1109/access.2019.2929487
[6] Thavavel Vaiyapuri. et al. Automatic vehicle license plate recognition using optimal deep learning model. Computers, Materials & Continua, 67(2):1881–1897, 2021. ISSN 1546-2226. https://doi.org/10.32604/cmc.2021.014924
[7] Thavavel Vaiyapuri. et al. Security, privacy and trust in iomt enabled smart healthcare system: A systematic review of current and future trends. International Journal of Advanced Computer Science and Applications, 12(2):731–737, 2021. https://doi.org/ 10.14569/ijacsa.2021.0120291
[8] Bassam AY Alqaralleh and Thavavel et al Vaiyapuri. Blockchain-assisted secure image transmission and diagnosis model on internet of medical things environment. Personal and Ubiquitous Computing, pages 1–11, 2021. https://doi.org/10.1007/ s00779-021-01543-2
[9] Bassam AY Alqaralleh, Sachi Nandan Mohanty, Deepak Gupta, Ashish Khanna, K Shankar, and Thavavel Vaiyapuri. Reliable multi-object tracking model using deep learning and energy efficient wireless multimedia sensor networks. IEEE Access, 8: 213426–213436, 2020. https://doi.org/10.1109/access.2020.3039695
[10] Thavavel Vaiyapuri, Velmurugan Subbiah Parvathy, V Manikandan, N Krishnaraj, Deepak Gupta, and K Shankar. A novel hybrid optimization for cluster-based routing protocol in information-centric wireless sensor networks for iot based mobile edge computing, 2021. https://doi.org/10.1007/s11277-021-08088-w
[11] Adel Binbusayyis and Thavavel Vaiyapuri. Comprehensive analysis and recommenda- tion of feature evaluation measures for intrusion detection. Heliyon, 6(7):e04262, 2020. https://doi.org/10.1016/j.heliyon.2020.e04262
[12] Thavavel Vaiyapuri. A new automated approach for early lung cancer detection with improved diagnostic performance–a preliminary analysis. Indian Journal of Forensic Medicine & Toxicology, 14(2):1968–1973, 2020. https://doi.org/10.37506/ijfmt. v14i2.3227
[13] Shabana R Ziyad, Venkatachalam Radha, and Thavavel Vayyapuri. Overview of computer aided detection and computer aided diagnosis systems for lung nodule detection in computed tomography. Current Medical Imaging, 16(1):16–26, 2020. https://doi.org/10.2174/1573405615666190206153321
[14] V Thavavel and M Karthiyayini. Hybrid feature selection framework for identification of alzheimers biomarkers. Indian J. Sci. Technol, 11(22):1–10, 2018. https://dx.doi. org/10.17485/ijst/2018/v11i22/123310
[15] Benneaser John, V Thavavel, Jayakumar Jayaraj, A Muthukumar, and Poornasel- van Kittu Jeevanandam. Design of open content social learning that increases lear- ning efficiency and engagement based on open pedagogy. Turkish Online Journal of Educational Technology-TOJET, 15(1):20–32, 2016.
[16] V Thavavel. Improving computing graduates writing skill using constructivism based blended learning model–an action research study. IOSR J. Res. Method Educ. Ver. I, 5(3):2320–7388, 2015
[17] V Thavavel, J Jaffer Basha, Murali C Krishna, and R Murugesan. Heuristic wavelet approach for low-dose epr tomographic reconstruction: An applicability analysis with phantom and in vivo imaging. Expert Systems with Applications, 39(5):5717–5726, 2012. https://doi.org/10.1016/j.eswa.2011.11.098
[18] V Thavavel, J Jaffer Basha, and R Murugesan. Withdrawn: A novel intelligent wavelet domain noise filtration technique: Application to medical images, 2010
[19] V Sujatha, M Punithavalli, and V Thavavel. Applicability of ensemble clustering and ensemble classification algorithm for user navigation pattern prediction. Journal of Artificial Intelligence, 6(3):210, 2013
[20] SC Punitha, V Thavavel, and M Punithavalli. A new hybrid schemes combining ontology and clustering for text documents. Information Technology Journal, 12(12): 2447, 2013
[21] TR Sivapriya, AR Nadira Banu Kamal, and V Thavavel. Automated classification of dementia using pso based least square support vector machine. International Journal of Machine Learning and Computing, 3(2):181, 2013
[22] S PITCHUMANI ANGAYARKANNI, NADIRA BANU KAMAL, and V Thavavel. Mammogram mri image segmentation and classification. Journal of Theoretical & Applied Information Technology, 57(2), 2013
[23] E Chandra Blessie, DRE Karthikeyan, and DRV Thavavel. Improving classifier performance by imputing missing values using discretization method. International Journal of Engineering Science and Technology, 2012
[24] Banu Kamal and Mrs V Thavavel. A novel approach for automatic detection of cancerous masses in mammogram mri. International Journal of Engineering Research and Technology, 1(4):1–9, 2012
[25] V Thavavel and S Sivakumar. A generalized framework of privacy preservation in distributed data mining for unstructured data environment. International Journal of Computer Science Issues (IJCSI), 9(1):434, 2012
[26] TR Sivapriya, ANB Kamal, and V Thavavel. Imputation and classification of missing data using least square support vector machines–a new approach in dementia diagnosis. International journal of advanced research in artificial intelligence, 1(4):29–33, 2012
[27] V Thavavel and S Siva Kumar. A survey on privacy preservation in distributed data mining for unstructured data environment. Journal of Computer and Mathematical Sciences Vol, 3(1):1–130, 2012
[28] V Thavavel and R Murugesan. Regularized computed tomography using complex wavelets. International Journal of Magnetic Resonance Imaging, 1(1):27–32, 2007
[29] R Murugesan, V Thavavel, and B Meenakshi Sundaram. Dual tree complex wavelet based regularized deconvolution for medical images. threshold, 2(1):7
[30] Ram Murugesan and V Thavavel. A two-phase scheme for microarray image restoration. Journal of Information and Computing Science, 2(4):317–320, 2007
[31] “ROC Curve Assessment on Cancer Diagnostic Performance by a Classifier”, European Journal of Scientific Research, vol.95(3), pp.400-407, January-2013.
[32] “A Review on Cloud Data Mining and Data Integrity”, International Journal of Data Mining and Knowledge Engineering, vol.5, March-2013.
“An Intelligent Clustering based Segmentation using Wavelet Frames: Application to Medical Images”, MIDAS Journal of Medical Imaging and computing.
[33] “Improving Binding Affinities of Continuum Solvent Energy Model of Podophyllotoxin Analogues using GA, RBFNN for Prediction of Cytotoxic Activity”, International Journal of Pharmaceutical Research and Development, vol.3(10), pp.80-97, December- 2011

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Dr.Thavavel Vaiyapuri Thangam Thangam

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Faculty Members

Dr.Thavavel Vaiyapuri Thangam Thangam

Education

Research Interests

Experience

Publications

Administration of Public Relations and Media