Dr. N. Padmapriya, Associate Professor in the Department of Mathematics has over 27 years of progressive teaching and research experience. She received DCU Scholarship to pursue post-graduate studies and was awarded Ph.D from Dublin City University, Dublin, Ireland in the year 2004. She was a member of Vision Systems Group, Centre for Image Processing and Analysis, School of Electronic Engineering, Dublin City University, Ireland. She won the outstanding paper award at the Literati Network Award for Excellence 2011 from Emerald Publishers for the paper titled “A Generic framework for colour texture image segmentation”, as a culmination of the rigorous research carried out at Dublin City University.

She has been with SriSivasubramaniya Nadar College of Engineering since 2009 and currently she is an Associate Professor in Shiv Nadar University, Chennai. She has been a recognized Ph.D supervisor of Anna University.  Her research interest includes biomedical image analysis, Machine learning and deep learning. She has co-authored five books. She was a Co-principal investigator in a project funded by the Ministry of Earth Sciences funded project and, in a DST- SSTP funded project funded by DST and she was involved in the internal funded projects by SSN Institutions. She has published over 34 peer reviewed research papers in reputed international journals and 41 research papers in the conference proceedings.

Work Experience

Experience (Teaching – 23.5 years, Research – 4 years)

• 07.2026 – Till Date, Associate Professor- Grade-1, Shiv Nadar University
• 04.2019 – 30.06.2026, Associate Professor – Grade-1, SSN college of Engineering
• 10.2013 – 31.03.2019, Assistant Professor – III, SSN College of Engineering
• 06.2009 – 30.9.2013, Senior Lecturer/Assistant Professor – II, SSN College of Engineering
• 09.2004 – 30.11.2004, Lecturer, Rai university
• 10.2000 – 30.11.2004 – Ph.D, Dublin City University, Ireland
• 07.1994 – 10.08.2000 – Lecturer -The Ethiraj College for Women, University of Madras

Projects

External Funded Project:

1. Title: Automated Identification and Characterization of Underwater Images in Deep Ocean

• PI : MuthuMeenakshi (ECE)
• Co-PI : Dr. N. Padmapriya (Maths) & Dr. S. Sakthivelmurugan (ECE)
• Funding agency: Ministry of Earth Sciences
• Amount : Rs. 16 lakhs
• Duration : 2023-2026
• Status : Completed

2.  Title: Off shore excavation of heritage rich submerged sites of Poompuhar and Mahabalipuram by empirical mode decomposition using machine learning.

• PI : S. Sakthivelmurugan (ECE)
• Co-PI : Dr. N. Padmapriya (Mathematics)
• Funding agency: DST-SSTP
• Amount : Rs. 9 lakhs
• Duration : 2018-2021
• Status : Completed

SSN Funded Project:

• Title: Development of Computer-aided Analysis for the diagnosis of Ocular diseases using IR thermal imaging
• PI : Dr.N.Padmapriya (Mathematics)
• Co-PI : Dr. N. Venkateswaran (ECE)
• Funding agency: SSN Trust
• Amount : Rs.4 lakhs
• Duration : 2018-2020
• Status : Completed

2. Title: Identification of Improper Signature Using Graph Theory Techniques

• PI : Dr.P.Venugopal (Mathematics)
• Co-PI : Dr.N.Padmapriya (Mathematics)
• Funding agency: SSN Trust
• Amount : Rs.1 lakhs
• Duration : 2020-2022
• Status : Completed
•  

Publications

Total: Books – 5, Journal – 35, Conference – 41

1. Books Published  

• Engineering Mathematics- II, Dipti Publications, 2017
• Engineering Mathematics- I, Dipti Publications, 2018
• Complex Analysis & Laplace Transforms, Dipti Publications, 2018
• Analytic Functions and Laplace Transforms, Dipti Publications, 2025
• A comprehensive book on Calculus, Dipti Publications, 2025.

2. Journals

1. Ovidiu Ghita, Paul F. Whelan, Tim Carew, Padmapriya Nammalwar, Quality grading of painted slates using texture analysis, Computers in Industry, Vol. 56, pp. 802–815, 2005.
2. Padmapriya Nammalwar, Ovidiu Ghita, Paul F. Whelan, A Generic framework for colour-texture image segmentation, Sensor Review, Vol.30, Issue-1, 2010 (ISSN: 0260-2288). Outstanding paper award winner at the Literati Network Award for Excellence 2011 (Emerald Publishers).
3. Padmapriya Nammalwar, Ovidiu Ghita, Paul F. Whelan, Integration of Colour and Texture Distributions for Skin Cancer Image Segmentation, International journal of imaging, Volume 4, Number A10, Autumn 2010 (ISSN: 0974-0627).
4. B. Praba, P.Venugopal, and N.Padmapriya, Metric Dimension in Fuzzy Graphs – A Novel Approach, Applied Mathematical Sciences, Vol. 6, 2012, no.106, 5273 – 5283.
5. Lakshmipriya R, Padmapriya N, Hanis S, “Multiresolution based detection of Macular Degeneration”, International Journal of Applied Engineering Research, (ISSN 0973-4562), Volume 11, Number 4, pp. 2161-2164, 2016 
6. Crostack H.A., and Padmapriya N., “NDT of Coatings, Surface Modified Layers, and Adhesives”. In: Saleem Hashmi (editor-in-chief), Reference Module in Materials Science and Materials Engineering. Oxford: Elsevier (ISBN: 978-0-12-803581-8), pp. 1-4, 2016.
7. Kinloch A.J., and Padmapriya N., Polymer Glasses, “Fracture of Adhesive Joints” In: Saleem Hashmi (editor-in-chief), Reference Module in Materials Science and Materials Engineering. Oxford: Elsevier; (ISBN: 978-0-12-803581-8), pp. 1-5, 2016.
8. Boyer R., and Padmapriya N., “Aircraft Materials”. In: Saleem Hashmi (editor-in-chief), Reference Module in Materials Science and Materials Engineering. Oxford: Elsevier (ISBN: 978-0-12-803581-8), pp. 1-9, 2016.
9. Williamson A., and Padmapriya N., Cost of Alternative Techniques for Manufacturing Composite Aerospace Designs. In: Saleem Hashmi (editor-in-chief), Reference Module in Materials Science and Materials Engineering. Oxford: Elsevier, (ISBN: 978-0-12-803581-8), 1-5, 2016.
10. Namkung M., Wincheski B., and Padmapriya N., NDT in the Aircraft and Space Industries. In: Saleem Hashmi (editor-in-chief), Reference Module in Materials Science and Materials Engineering. Oxford: Elsevier, (ISBN: 978-0-12-803581-8), 1-4, 2016.
11. Koehler, W., Plege, B., Sahm, K.F., and Padmapriya, N. (2017) Metal Forming: Specialized Procedures for the Aircraft Industry. In: Saleem Hashmi, Reference Module in Materials Science and Materials Engineering. vol. 13, pp. 1–8, April 2017.
12. N. Padmapriya, N.Venkateswaran, Toshita Kannan & M.Sindhu published a paper titled “Non-invasive Glaucoma Screening Using Ocular Thermal Image Classification” CIT. Journal of Computing and Information Technology, Vol. 25, No. 3, pp.223–232, 2017
13. Venugopal P, Padmapriya N, Thilshath A, Equitable Colouring of Certain Double Vertex Graphs, International Journal of Pure and Applied Mathematics, Volume 119, No. 11, pp. 147-154, March 2018 (Scopus).
14. Beaula C, Venugopal P, Padmapriya N, Graph Distance of Vertices in Double Vertex Graphs International Journal of Pure and Applied Mathematics, Volume 119, No. 11, pp. 343-351, March 2018 (Scopus).
15. S. Revathi, N. Padmapriya & R. Padmanabhan(2019) A design analysis of piezoelectric-polymer composite-based valveless micropump, International Journal of Modelling and Simulation, 39:2, 110-124, DOI: 10.1080/02286203.2018.1482521
16. N. Padmapriya, N. Venkateswaran, K. Vijayalakshmi, G.K. Mallieswaran & R. Padmanabhan (2019) Characterisation of friction stir welds by logistic regression using fractal and wavelet features, Advances in Materials and Processing Technologies, 5:4, 582-597, DOI: 10.1080/2374068X.2019.1641002
17. Madura Meenakshi. R, Padmapriya N, Venkateswaran N, Fuzzy SVM based pre-processing technique for infrared (IR) thermal images, Journal of Intelligent and Fuzzy systems, vol.38, no.4, pp.4273-4286, 2020
18. S. Revathi, N. Padmapriya & R. Padmanabhan(2021) Analytical modelling and numerical simulation of 0–3 PZT/PVDF composite actuated micropump, Advances in Materials and Processing Technologies, Volume 7, Issue 1, pp. 85-108, 2021 DOI: 10.1080/2374068X.2020.1754719
19. N Venkateswaran, W Jino Hans & Padmapriya(2021) 3D design of orthotic casts and braces in medical applications, Advances in Materials and Processing Technologies,, Volume 7, Issue 1, pp. 136-149, 2021.DOI: 10.1080/2374068X.2020.1754743
20. Venkateswaran, N., Hans, W.J. & Padmapriya, N. Deep learning based robust forward collision warning system with range prediction. Multimed Tools Appl 80, pp.20849–20867 (2021). https://doi.org/10.1007/s11042-021-10703-8
21. Shweta Srikanth, Sneha S, Padmapriya, A year into the pandemic: A mathematical model and study of COVID-19 in India, Indian Journal of Public Health Research & Development, Volume No. 13 issue no. 1 January-March 2022.
22. A Daniel Raj, P Venugopal, N Padmapriya, Identification of Proper and Improper Signatures Using Graph Theory Techniques, Indian Journal Of Science And Technology, 15(6): 227-236., 2022, 1.26, doi.org/10.17485/IJST/v15i6.1913, 16-02-2022, Clarivate
23. R. Madura Meenakshi, Padmapriya N, N. Venkateswaran, Segmentation of ocular region in infrared thermal images using mathematical morphology, AIP Conference Proceedings, July, 2023, Vol. 2829, pp. 060003-1 – 060003-7, Scopus, Impact Factor 0.189,  https://doi.org/10.1063/5.0156747. https://www.scopus.com/sourceid/26916
24. G. Sakthi Priya, N. Padmapriya, Comparative study on classification of textures using light weight deep learning architectures based on transfer learning technique, AIP Conference Proceedings, July 2023, Vol. 2829, pp. 060002-1 – 060002-8, Scopus, Impact Factor 0.189,  https://doi.org/10.1063/5.0156745.
25. A. Danielraj, N. Padmapriya, P. Venugopal, Static Signature verification using NASNet Deep Learning Architectures, AIP Conference Proceedings, July 2023, Vol. 2829, pp. 060004-1 – 060004-8, Scopus, Impact Factor 0.189, https://doi.org/10.1063/5.0156725
26. R. Madura Meenakshi, N. Padmapriya, N. Venkateswaran, Shany Shperling and Ari Leshno, Classification of Retinal Vascular Diseases Using Ensemble
    Decision Tree in Thermal Images, International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI). , October, 2023, 37, 12, 2357010, 2357010, Thomson Reuters, Scopus, DOI: 10.1142/S0218001423570100.
27. S Revathi, N Padmapriya, R Padmanabhan and MSJ Hashmi, Nanoscale and microscale processing—Modeling, Reference Module in Materials Science and Materials Engineering, https://doi.org/10.1016/B978-0-323-96020-5.00196-5
28. G. Sakthipriya and N.Padmapriya, PT-CNN A nonlinear lightweight Texture Image Classifier, Neural Processing Letters, Vol55, pp-8483-8507, 2023
29. Danielraj, A.Venugopal, P. Padmapriya, N, Region adjacency graph based GNN approach for static signature classification DOI: 3233/JIFS-231369, Pub Online Jan 2024
30. R. Madura Meenakshi, N. Padmapriya, N. Venkateswaran, Shany Shperling, Ari Leshno,Bi spectrum Analysis of Thermal Images for the Classification of Retinal Vascular Diseases, Biomedical Signal Processing and Control, Volume 99, 2025, https://doi.org/10.1016/j.bspc.2024.106878.

31. Sakthipriya, G., Padmapriya, N. & Venkateswaran, N. TSDAnet: texture strip dual attention network for intraclass texture classification. SIViP 18, 7597–7610 (2024).     https://doi.org/10.1007/s11760-024-03413-9
32. Madura Meenakshi R, N. Padmapriya, Srinisha and Sundaram.V, Impact of Diabetic Retinopathy on Ocular Surface Temperature: Insights from Medical Thermography, Journal of Health Science and Medical Research, 2025,
33. Danielraj, A.  Venugopal, P. Padmapriya, N, Graph neural networks: A paradigm shift in static signature classification via Delaunay triangulation, Vol. 55 No. 2 (2025): Latin American Applied Research, https://doi.org/10.52292/j.laar.2025.3617 

34. Danielraj, A.  Venugopal, P. Padmapriya, N, Next-gen graph theory techniques: Harnessing CNCBG and CNCG for cutting-edge static signature verification with neural networks, Montes Taurus J. Pure Appl. Math. 7 (2), 63–80, 2025
35. Krishi Divya Dharshini V, Venkateswaran N, Padmapriya N, Shafiya Sidrath A, Nethra Prakash K, Vaddi Thulasikanth & R. Padmanabhan, Estimation of porosity in closed cell aluminium foam images using voronoi tessellation modelsAdvances in Materials and Processing Technologies, online: 27 Feb 2026. https://doi.org/10.1080/2374068X.2026.2638095.

Conference

1. N. Padmapriya, P.P. Pradeep and P.F. Whelan, A new data structure for the implementation of unsupervised texture segmentation, Proceedings of the Irish Signals and Systems Conference (ISSC02), pp.109-113, 2002, Cork, Ireland.
2. N. Padmapriya, O. Ghita and P.F. Whelan, Experimentation on the use of Chromaticity Features, Local Binary Pattern and Discrete Cosine Transform in Colour Texture Analysis, Proceedings of the 13^th Scandinavian Conference on Image Analysis (SCIA03), pp.186—192, 2003, Gotenburg, Sweden
3. N. Padmapriya, O. Ghita and P.F. Whelan, Investigation on the Discrete Cosine Transform and Chromaticity Features in Colour Texture Analysis, Proceedings of the Irish Signals and Systems Conference (ISSC03), pp. 524-528, 2003, Limerick, Ireland.
4. N. Padmapriya, O. Ghita and P.F. Whelan, Integration of feature distributions for colour texture segmentation, Proceedings of the 17^th International Conference on Pattern Recognition (ICPR04), 2004, Cambridge, United Kingdom.
5. N. Padmapriya, O. Ghita and P.F. Whelan, Integration of feature distributions for colour texture segmentation and its applications, Proceedings of the Irish Machine Vision and Image Processing Conference (IMVIP04), 2004, Dublin, Ireland.
6. N. Padmapriya, O. Ghita and P.F. Whelan, Segmentation of Skin Cancer Images, Proceedings of International conference on sensors, security, software and intelligent systems, January 2009, CIT, Coimbatore, India.
7. N. Padmapriya, N. JansiRani, N.Anandraj, Atmadeep Das and S.Kaviarasan, An application of diminishing cells infinite array in image multiscale decomposition, Proceedings of International Conference on Communication and Signal Processing (ICCSP2014), IEEE (Madras Section) 2014.
8. N. Padmapriya, Methodology for the identification of lesions in color retinal images, Proceedings of International Conference on Application of Mathematics in Modern Technology (ICAMT), QMC, 2014.
9. N. Padmapriya, N.Venkateswaran, Toshitha Kannan and M.Sindhu Madhuri, “Assessment of Glaucoma with ocular thermal  images using GLCM Techniques” First QIRT- ASIA Conference on Quantitative Infrared Thermography conducted by IGCAR held at Mamallapuram, during July 6-10, 2015.
10. N. Venkateswaran, N.Padmapriya, P.Sophia and S.Upasana, Markov Random Field Labelling of Infrared Thermal Images: Applications in Induatry and Vetinary Medicine, First QIRT- ASIA Conference on Quantitative Infrared Thermography conducted by IGCAR held at Mamallapuram, during July 6-10, 2015.
11. Harshvardhan, Venkateswaran and Padmapriya,  Assessment of Glaucoma with Ocular Thermal Images using GLCM Techniques and Logistic Regression classifier, IEEE WiSPNET 2016 conference, March 23-25, 2016, pp-1578-1581.
12. P. Venugopal, N.Padmapriya, A. Thilshath, Equitable Colouring of Double Vertex Graphs, International Conference on Mathematical Computer Engineering (ICMCE -2016), VIT University, Chennai, Dec.1-17, 2016.
13. P. Venugopal, N.Padmapriya, Buelah, Graph Distance of Vertices in Double Vertex Graphs, International Conference on Mathematical Computer Engineering (ICMCE -2016), VIT University, Chennai, Dec.1-17, 2016.
14. N. Padmapriya, N. Jansi Rani and R. Madura Meenakshi, “Comparative Study of application for Diminishing Cells Infinite Array using image multiscale decomposition”, International Conference on Mathematical and Computer Engineering (ICMCE’17), VIT University, Chennai Campus, 3-4 Nov, 2017.
15. N. Padmapriya, K.Vijayalakshmi, N. Venkateswaran, G.K.Mallieswaran and R.Padmanabhan, ”Characterization of friction stir welding quality using Fractal Features and Logistic Regression classifier”, International Conference on Advances in Material Processing Technologies, VIT chennai 11-14, Dec 2017.
16. S. Revathi, N.Padmapriya  and R.Padmanabhan, “Analytical modeling and Simulation of 0-3 PVDF/PZT composite actuated micropump”, International Conference on Advances in Material Processing Technologies, VIT chennai 11-14, Dec 2017.
17. M.Somasekar , S.Sakthivel Murugan , S.K.Pradeesha and  Dr.N. Padmapriya, A Surveyon Fuzzy C-Means with Empirical mode Decomposition for underwater image enhancement, Proceedings of the 5^th International Conference on Ship and Offshore Technology ICSOT 2017 December 7-8, 2017, IIT Kharagpur, India
18. Madura Meenakshi.R, N. Padmapriya, N. Venkateswaran, Two-Stage Fuzzy Logic based Noise Removal in Thermal Images, ICMCE,2018, 23-24 November 2018
19. M. Dhanalakshmi, S. Sakthivel Murugan, N.Padmapriya, M.Somasekar, Texture Analysis on Side Scan Sonar images using EMD,XCS-LBP,Statistical Co-occurrence, Int. Symp. On Ocean Technology, Dec 2019
20. M. Dhanalakshmi, S. Sakthivel Murugan, N.Padmapriya, Underwater image recognition detector using Deep Convnet, 26^th National Conference on Communications,(NCC 2020) IIT Khargpur,Feb 21-23, 2020
21. S. Mary Cecila, S.Sakthivel Murugan, N.Padmapriya, Analysis of Carious algorithms for underwater images, Int. Symp. On Ocean Technology,Dec 2019.
22. M. Vimalraj, S.Sakthivel Murugan, N.Padmapriya, Underwater image processing using hyperparameter algorithms, Challenges in Earth System Science for Global Sustainability, Jan 2020
23. S. Mary Cecila, S.Sakthivel Murugan, N.Padmapriya, Restoration of single shallow coastal , 28^th International Conference (Virtual) of forum for interdisciplinary mathematics, Synergies in Computational, Mathematical, Statistical and Physical Sciences,23-27 Nov 2020.
24. Madura Meenakshi R, Padmapriya N, Venkateswaran N, Localization of eye in Infrared (IR) thermal images, 28th International Conference (Virtual) of Forum for Interdisciplinary Mathematics (FIM)- Synergies in Computational, Mathematical,            Statistical and Physical Sciences, 23rd to 27th of November, 2020.
25. Madura Meenakshi, R.;Padmapriya N.;Venkateswaran N.;Ravikumar R.;Ramya Chelliah,”Localization of Eye Region in Infrared Thermal Images using Deep Neural Network,” Sixth International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2021, pp. 446-450, doi: 10.1109/WiSPNET51692.2021.9419446.
26. Daniel Raj A, Venugopal P, Padmapriya N, Identification of improper signature using graph theory techniques, International conference on mathematical computer engineeringICMCE 2020, VIT Chennai Campus.
27. Daniel Raj A, Venugopal P, Padmapriya N, Verification of signatures using bipartite graph parameters and support vector machine, International conference on rough set theory and mathematical applications, SSNCE.
28. Daniel Raj A, Venugopal P, Padmapriya N,  Identification of genuineness of a signature using graph isomorphism, 28th International Conference (Virtual) of Forum for Interdisciplinary Mathematics (FIM)- Synergies in Computational, Mathematical, Statistical and Physical Sciences (FIM 28: SCMSPS 2020) organized by FIM, Stella Maris College, Chennai, and Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, Tamilnadu, India from 23rd to 27th of November 2020.
29. Sakthi Priya. G , Padmapriya, presented a paper “Comparative Study on Classification of Textures using Lightweight Deep Learning Architectures based on Transfer Learning Technique” in the International Conference on Recent Advances in Mathematics and Computational Engineering (ICRAMCE 2022) Organized by Department of Mathematics, Sri Sivasubramaniya Nadar College of Engineering during 06 – 07, January, 2022.
30. R. Madura Meenakshi, N. Padmapriya, presented a paper “Segmentation of Ocular Region in Infrared Thermal Images using Mathematical Morphology” in the International Conference on Recent Advances in Mathematics and Computational Engineering (ICRAMCE 2022) Organized by Department of Mathematics, Sri Sivasubramaniya Nadar College of Engineering during 06 – 07, January, 2022.
31. A Daniel Raj, N. Padmapriya, presented a paper “Static Signature Verification using NASNet Deep Learning Architectures ” in the International Conference on Recent Advances in Mathematics and Computational Engineering (ICRAMCE 2022) Organized by Department of Mathematics, Sri Sivasubramaniya Nadar College of Engineering during 06 – 07, January, 2022.
32. Shweta Srikanth, Sneha.S,Vikram Venkatkrishnan, W.JinoHans and N.Padmapriya Solving PDE using Deep Learning, International Conference on Power of Artificial Intelligence and Machine Learning for Human Empowerment , IETE CHENCON 2022May 20-21, IETE Chennai Centre
33. Sakthi Priya G, Padmapriya N, Depthwise Separable Convolutional Neural Network for Multi-class Texture Classification, Winter Summit on Smart Computing and Networks, Department of Information Technology, SSNCE, SSNCE, 16th & 17th March 2023.
34.  Sakthi Priya G, Padmapriya N, Texture Image Classification with Dilated Convolution layers, International Conference on Wireless Communications Signal Processing and Networking, Department of Electronics & Communication Engineering, SSNCE, SSNCE, 29th – 31st March 2023.
35. G. Sakthipriya and N.Padmapriya, Texture Classification using DenseNet Architecture, 2nd International Conference On Research Trends In Mathematics (Icrtm-2022) Division Of Mathematics, School Of Advanced Sciences, VIT Chennai, 22-23 Dec 2022.”
36. Krishi Divya Dharshini V, Venkateswaran N, Padmapriya N, Thulasikanth V, Padmanabhan R Estimation Of Porosity In Aluminium Cell Foam Images Using Voronoi Tessellation Models, AMPT2022 Conference held on 10^th to 14^th October 2022, Portoroz, Slovenia.
37. G. Sakthipriya and N.Padmapriya, Lightweight texture classifier for land cover classification, International Conference on Computations and Data Science, March 8-10, 2024, IIT, Roorkee.
38. G. Sakthipriya & N. Padmapriya have presented the paper Melanoma Skin Cancer Classification Using Texture Strip Dual Attention Features in the International Conference Recent Trends In Applied Mathematics (Icrtam 2025), Department of Mathematics, Loyola College, Chennai, Loyola College, Chennai, 22.01.2025.
39. N. Padmapriya, Associate Professor, Maths has presented a paper titled “Comparative analysis of machine learning models in Diabetes prediction” at the International Conference on Next-Gen Mathematical Sciences (ICNMS 2025) organized by the Department of Mathematics, Loyola College, Chennai, 10-11 Dec2025.
40. N. Padmapriya, Associate Professor, Maths has presented a paper titled “Machine Learning approaches for predicting polyscystic ovary syndrome: A performance evaluation” at the International Conference on Next-Gen Mathematical Sciences (ICNMS 2025) organized by the Department of Mathematics, Loyola College, Chennai, 10-11 Dec2025.
41. R. Madura Meenakshi Sundaram V, Srinisha S, Padmapriya N, A lightweight yolo11n instance segmentation framework for ocular region extraction in thermal eye images for diabetic retinopathy screening, The International Conference on Applied and Computational Mathematics (ICACM – 2026), January 9 – 10, 2026 

Awards

• DCU scholarship for pursuing Ph.D
• Won the outstanding paper award at the Literati Network Award for Excellence 2011 from Emerald Publishers          
• Best Research Collaborator award by SSNCE for 2019

Area of Research

• Image Processing
• Machine Learning
• Deep Learning
• Colour Analysis and Texture Analysis
• Medical Image Analysis