Dr. Suganya Devi K

 sss passport
Assistant Professor Grade-I
Phone: +91-9442281243
Email: suganyanits@gmail.com, suganya@cse.nits.ac.in
Date of Joining: 05/10/2018
Academic/Industrial Experience: 14+ years


  • B. Tech. from University of Madras, 2003
  • M.Tech. (Gold Medal) from Anna University, 2008
  • Ph.D. from Anna University, 2014


Image Processing, Medical Image Processing, Multimedia, Artificial Intelligence, Machine learning


  • Computer Programming
  • Data Structures
  • Programming in C
  • Computer Networks
  • Computer Graphics
  • Data warehousing and data mining
  • Knowledge Management
  • Operating systems
  • Pattern Recognition
  • Machine Learning
  • Digital Image Processing


28. Sekar, K., Suganya Devi, K. & Srinivasan, P.,(2021), “Energy Efficient Data Gathering using Spatio-temporal Compressive Sensing for WSNs”, Wireless Pers Communhttps://doi.org/10.1007/s11277-020-07922-x. [Indexed: SCIE, Impact Factor: 1.061]
27. Suganya Devi, K.,  P. Srinivasan, Sivaji Bandyopadhyay, (2020), “H2K- A rubust and optimum approach for detection and classification of groundnut leaf diseases”, Journal of  Computer and Electronics in Agriculture, Elsevier,Volume 178, 105749, ISSN 0168-1699, https://doi.org/10.1016/j.compag.2020.105749 [Indexed: SCIE, Impact Factor: 3.858].
26. Prasenjit Dhar,  Suganya Devi, K., Satish Kumar Satti, P. Srinivasan,(2020), ” A study on various segmentation and machine learning algorithms used for early detection of cancer”, Journal of Advanced Research in Dynamical and Control Systems, Volume 12, Issue 6, Pages:1416-1432. [Indexed: Scopus]
25. Goluguri, N. V. Raja Reddy, Suganya Devi, K. Srinivasan, P., (2020),”Rice-net: an efficient artificial fish swarm optimization applied deep convolutional neural network  model    for identifying the Oryza sativa diseases Neural Computing and Applications” Neural Computing and Applications, Springer, https://doi.org/10.1007/s00521-020- 05364- x[Indexed: SCIE, Impact Factor: 4.774]
24. Satish Kumar Satti,  Suganya Devi,K., Prasenjit Dhar, P. Srinivasan,(2020), “A machine learning approach for detecting and tracking road boundary lanes”, ICT Express, ISSN 405-9595, https://doi.org/10.1016/j.icte.2020.07.007. [Indexed: SCIE, Impact Factor: 2.95]
23. Goluguri, N. V. Raja Reddy, Suganya Devi, K.,Vadaparthi, Nagesh, (2020),”Image classifiers and image deep learning classifiers evolved in detection of Oryza sativa diseases: Survey” Artificial Intelligence Review, Springer, https://doi.org/10.1007/s10462-020-09849-y. [Indexed: SCIE,Impact Factor: 5.747]
22. Vaishnnave, M.P., Suganya Devi, K. & Ganeshkumar, P. ,(2020), “Automatic method for classification of groundnut diseases using deep convolutional neural network”. Soft   Comput. https://doi.org/10.1007/s00500-020-04946-0. [Indexed: SCIE, Impact Factor: 3.050]
21. Satish Kumar Satti, Suganya Devi K, Vishnu Murthy, Srinivasan P, (2019), ‘Efficient Technique for removal of white and mixed noises in gray-scale images’, International journal of Innovative engineering and Management Research, Vol.8(9), pp.22-36. [Indexed: Elsevier SSRN, Impact Factor : 7.812]
20. Satish Kumar Satti, Suganya Devi K, Prasenjit Dhar, Srinivasan P, (2019), ‘An Efficient Noise separation technique for Removal of Gaussian and Mixed Noises in monochrome and color Images’, International Journal of Innovative Technology and Exploring Engineering, Vol.8(9), pp.588-601. [Indexed: Scopus]
19. J. Jayachitra,S. Matilda  ,Suganya Devi K., Padmanabhan Srinivasan, (2018), “Survey on the good, the bad and the ugly face recognition techniques” , International Journal of Pure and Applied Mathematics, 119(14):1243-1252. [Indexed: Scopus, Impact Factor : 7.19]
18. M.P.Vaishnnave, Suganya DeviK.,  Srinivasan, P., (2018), ‘A Study on Deep Learning models for Satellite Imagery’, International Journal of Applied Engineering Research, Vol.  14(4), pp.881-887. [Indexed: Scopus, Impact Factor : 0.51]
17. M.P.Vaishnnave, Suganya Devi,K.,  Srinivasan, P., (2018), ‘A Survey on Cloud Computing and Hybrid Cloud, International Journal of Applied Engineering Research, Vol. 14(12), pp.429-434. [Indexed: Scopus, Impact Factor: 0.51]
16. RS. ArunKumar, Suganya Devi, K., (2018), ‘Fusing the multimodal image by simple average, simple minimum, simple maximum, PCA, DWT methods of Image fusion – A  review’ International Journal of Advanced Research, Ideas and innovations in Technology, Vol. 4(3), pp. 527-529.  [Indexed: CiteFactor, Impact Factor: 1.5086]
15. Kanimozhi, A., Kannan, K. Suganya Devi (2018), ‘Secure Cloud Based E-Learning System With Access Control And Group Key Mechanism’ Concurrency and Computation: Practice and Experience, https://doi.org/10.1002/cpe.4841. [Indexed: SCIE, Impact Factor: 1.447]
14. Senthilmurugan,A., Suganya Devi, K., Sivaranjani,A., Srinivasan,P., (2018), ‘A study on various methods used for video summarization and moving object detection for video surveillance applications’ Multimedia Tools and Applications (springer), https://doi.org/10.1007/s11042-018-5671-8. [Indexed: SCIE, Impact Factor: 2.313]
13. Suganya Devi, K.,, P Srinivasan, MP Vaishnave, G Arutperumjothi,(2017), Secure E-Pay System Using Steganography and Visual Cryptography”,International Journal of Mathematical and Computational Sciences, 11 (7), 296-299.[Indexed: Scopus, Impact Factor: 0.176]
12. Suganya Devi. K., Srinivasan, P., (2015), ‘A Novel approach for Facial Expression analysis in real time applications in real time applications using SIFT flow and SVM’, Australian Journal of Basic and Applied Sciences, 9(21) , Pages: 1-6.  [Indexed: CiteFactor, SCImago, Impact Factor: 3.79]
11. Suganya Devi. K., Srinivasan, P., (2015), ‘A Survey on compressed video segmentation’ Australian Journal of Basic and applied sciences’, Vol. 9, No. 21, pp.115-119.  [Indexed: Citefactor, SCImago, Impact Factor: 3.79]
10. Suganya Devi. K., P. Srinivasan, Selvamani. K (2015), ‘A Survey on Analysis of Human Facial Expressions and Gestures for Emotion Recognition’ International Journal of Applied Engineering Research, Vol. 10, No. 33, pp.25425-25430. [Indexed: Scopus, Impact Factor: 0.51]
9. Suganya Devi. K., P. Srinivasan, Selvamani. K (2015), ‘A Fast and Efficient Motion Tracking Using superpixel Extraction in Compressed Video Sequences’ International Journal of Applied Engineering Research, Vol. 10, No. 33, pp.25397-25405. [Indexed: Scopus, Impact Factor: 0.51]
8. K. Suganyadevi, N. Malmurugan,(2014), ” OFGM-SMED: An Efficient and Robust Foreground Object Detection in Compressed Video Sequences,” Engineering Applications of Artificial Intelligence, Volume 28, Pages 210-217, ISSN 0952-1976, https://doi.org/10.1016/j.engappai.2013.09.007.[Indexed: SCIE, Impact Factor: 3.81]
 7. Suganya Devi. K., K., Jayaraj. S, (2014), ‘Restoration of Automated Video Enhancement in Image Processing’ International Journal of Engineering and Technology Research, Vol. 2, No. 2, pp.30-36. [Indexed: CiteFactor , Impact Factor: 0.178]
6. Suganya Devi. K., N.Malmurugan, Sabarinathan. M (2014), ‘Automatic Video Object Extraction Using CRF and Superpixel Method’ International Journal of Engineering Associates, Vol. 3, No. 5, pp.26-29. [Indexed: CiteFactor, Impact Factor: 0.23]
5. Suganya Devi. K., N.Malmurugan, SelvaSanthi. G. (2013), ‘Efficient Foreground Object Detection using Background Detection’ International Journal of Scientific & Engineering Research, vol. 4, No. 5, pp. 1335-1339. [Indexed: Crossref, Impact Factor: 3.2]
4. Suganya Devi. K., N.Malmurugan, (2013), ‘A fast and efficient edge detection using superpixel extraction’ Archives Des Sciences, Vol. 66, No. 4, pp.565-582. [Indexed: SCImago, Impact Factor: 0.60]
3. Suganya Devi. K., N.Malmurugan, Manikandan. M (2013), ‘Object Motion Detection in Video Frames Using Background Frame Matching’ International Journal of Computer Trends and Technology (IJCTT), Vol. 4, No. 6, pp. 1928-1931. [Indexed: Crossref, Impact Factor: 0.569]
2. Suganya Devi. K., N.Malmurugan, Sivakumar. R (2012), ‘Efficient Foreground Extraction Based on Optical Flow and SMED for Road traffic analysis’ International Journal of Cyber-security and Digital Forensics, Vol. 1, No. 3, pp.177-182.[Indexed: CiteSeerX, Impact Factor: 0.154]
1. Suganya Devi. K., N.Malmurugan, Poornima. S. (2012), ‘Improving the Efficiency of Background Subtraction Using Superpixel Extraction and Midpoint for Centroid’  International Journal of Computer Applications (IJCA),  Vol. 43, No. 10, pp. 1-5. [Indexed: CiteSeerX,  Impact Factor: 0.124]


19. K. Sekar, K. Suganya Devi, P. Srinivasan and V. M. SenthilKumar, (2020)”Deep Wavelet Architecture for Compressive sensing Recovery,” 2020 Seventh International Conference on Information Technology Trends (ITT), Abu Dhabi, United Arab Emirates, 2020, pp. 185-189, https://doi: 10.1109/ITT51279.2020.9320773.
18. Satti S.K.,  Suganya Devi K., Dhar P., Srinivasan P., (2020) Enhancing and Classifying Traffic Signs Using Computer Vision and Deep Convolutional Neural Network, Machine  Learning, Image Processing, Network Security and Data Sciences. MIND 2020. Communications in Computer and Information Science, vol 1240. Springer, Singapore. https://doi.org/10.1007/978-981-15-6315-7_20. [Indexed: Scopus]
17. Sekar  K,  Suganya Devi K., P. Srinivasan, T. Dheepa, B. Arpita and L. Dolendro singh, (2020)”Joint Correlated Compressive Sensing based on Predictive Data Recovery in WSNs,” 2020 -International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE), Vellore, India, (2020),pp. 1-5. DOI: https:// 10.1109/ic-ETITE47903.2020.181.  [Indexed: Scopus]
16. Satish Kumar Satti, Suganya Devi K., Vishnu Murthy, Srinivasan P, (2019), ‘Efficient Technique for removal of white and mixed noises in gray-scale images’, Elsevier-International Conference on Innovations in Science and Engineering (ICISE-2K19), August 31, 2019, pp.18. [Indexed:  SSRN]
15. M.P.Vaishnnave, K.Suganya Devi, P.Srinivasan, G.Arutperumjothi, (2019),  “Detection and Classification of Groundnut Leaf Diseases using KNN classifier,” 2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN), Pondicherry, India, 2019, pp. 1-5, https://doi: 10.1109/ICSCAN.2019.8878733.’,   March 29-30, 2019. [Indexed: Scopus]
14. M.P.Vaishnnave, K.Suganya Devi, G.Arutperumjothi, P.Srinivasan, (2019)’Analysis of Castor Plant Diseases Using SVM& deep CNN Technique’, IEEE international Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC 2019), March 7-8, 2019.
13. Jayachitra J., Suganya Devi K., Vaiyshnavi M P., and Srinivasan P.,(2017), “GBU based face recognition techniques: A review,” 2017 4th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, pp. 1-4, https://doi: 10.1109/ICACCS.2017.8014656. [Indexed: Scopus]
12. Suganya Devi K., Senthilmurugan. A., Sivaranjani A., and Srinivasan P., (2017), “Development of interactive fashion design support system: Using IDS (interactive display on any surface)-A case study,” 2017 4th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore,  pp. 1-6, https://doi: 10.1109/ICACCS.2017.8014663. [Indexed: Scopus]
11. Suganya Devi K. and Srinivasan P.,(2016), ‘Remote monitoring and security alert based on Motion Detection using mobile’ American Institute of Physics, 1715, 020067 (2016); https://doi: 10.1063/1.4942749. [Indexed: Crossref]
10. S.Sathiyamoorthy, P.Srinivasan, K.Suganya Devi, (2015), ‘Synthesis, spectral, thermal, optical and dielectric studies of some organic arylidene derivatives’, International Conference on Computaional mathematics and physical sciences, Singapore SG, July 4-5, 2015, 19(7) pp.62-65 ISSN: 2010- 376X. [Indexed: Scopus]
9. Suganya Devi. K., P.Srinivasan, MP vaiyshnavi, G. Arutperumjothi, (2015),’Secure E-Pay system using steganography and visual cryptography’, International Conference on Computational mathematics and physical sciences, Singapore SG, July 4-5, 2015, 19(7) pp.62-65 ISSN: 2010-376X.[Indexed: OpenAIRE]
8. N.Malmurugan, Suganya Devi. K., Rohini.P., Akila.S. (2013), ‘Illuminant-Invariant Motion Detection Using A Self-Adaptive Background Matching Framework’ International Conference on Advanced Computing, Machines and Embedded Technology, pp. 636-639.
7. N.Malmurugan, Suganya Devi. K., Aruna.D., ArulJothi.G. ,(2013), ‘K- Means Background Subtraction Method (Kbsm) Integrating Segmented Region And Pixel Descriptors’ International Conference on Advanced Computing, Machines and Embedded Technology, pp. 275-280.
6. Suganya Devi. K., N. Malmurugan, Ambika. H. (2013), ‘Moving Region Segmentation from Compressed Video using Global Motion Estimation by macroblock Classification and Markov Random field Model’ Proceedings of IEEE International conference on Emerging Trends in computing, Communication and Nanotechnology, pp. 163-167. [Indexed: Scopus]
5. Suganya Devi. K., and N.Prabu Sankar,(2012), “Video Object Recognition And Tracing Using Modified Information Algorithm”, in International Conference in Magna On Emerging Engineering Trends(ICMEET 2K12), Chennai(Apr.12). PP. 58-62. [Indexed: Crossref]
4. Suganya Devi. K., and P.Jayabharathi, (2012), “Remote Monitoring and Security Alert Using mobile”, in  International Conference in Magna On Emerging Engineering Trends (ICMEET 2K12), Chennai(Apr.13, 2012). PP. 194-197. [Indexed: Crossref]
3. Suganya Devi. K., and S.Aravindh Kumar, (2012), “ Foreground Extraction based on OFBM and SMED”, in International Conference on Recent Trends in Engineering Management and Computer Application (INRTIEMC-12), Kancheepuram(Feb.12).
2. Suganya Devi. K., and S.Aravindh Kumar, (2012),“ Foreground Extraction based on Separable Morphology with Optical Flow”, in International Conference in Magna On Emerging Engineering Trends (ICMEET 2K12), Chennai(Apr.12). PP. 49-52.[Indexed: Crossref]
1. Suganya Devi. K., N. Malmurugan, Sivakumar. R, (2012), ‘OF-SMED: An Optimal foreground Detection method in Surveillance Sytem for Traffic Monitoring’ Proceedings of IEEE International Conference on Cyber-Security and Digital Forensics, pp. 12-17. [Indexed: Scopus]


Book Chapters (4)

4. Suganya Devi K., Arutperumjothi G., Srinivasan P. (2021) Diagnosis Evaluation and Interpretation of Qualitative Abnormalities in Peripheral Blood Smear Images—A Review. In: Patgiri R., Biswas A., Roy P. (eds) Health Informatics: A Computational Perspective in Healthcare. Studies in Computational Intelligence, vol 932. Springer, Singapore. https://doi.org/10.1007/978-981-15-9735-0_17 [Indexed: SCI]
3. Dhar P., Suganya Devi K., Satti S.K., Srinivasan P. (2021) Detail Study of Different Algorithms for Early Detection of Cancer. In: Patgiri R., Biswas A., Roy P. (eds) Health Informatics: A Computational Perspective in Healthcare. Studies in Computational Intelligence, vol 932. Springer, Singapore. https://doi.org/10.1007/978-981-15-9735-0_12 [Indexed: SCI]
2. Soni B., Suganya Devi K., Bora A. (2021) An Automatic Classification of Genetic Mutations by Exploring Different Classifiers. In: Hassanien AE., Taha M.H.N., Khalifa N.E.M. (eds) Enabling AI Applications in Data Science. Studies in Computational Intelligence, vol 911. Springer, Cham. https://doi.org/10.1007/978-3-030-52067-0_5. [Indexed: SCI]
1. Hemanth Kumar Vasireddi, Suganya Devi. K.,  (2020)”An ideal big data architectural analysis for medical image data classification or clustering using the map-reduce framework”, Lecture notes in electrical engineering, ICCCE-2020,  978-981-15-7960-8, vol:698, Pages. 1481-1494, Springer, Singapore, https://doi.org/10.1007/978-981-15-7961-5_134. [Indexed: Scopus]


Books (6) 

Sl.no. Title Publisher Year of Publication
1. Optimal Foreground Detection Methods For The Pixel Domain Video Objects Lambert Publishing Academy 2015
2. Web Designing and Programming- A Beginner’s Guide Bonfring Publishers 2015
3. Computer Graphics Srikrishna Publishers 2017
4. Programming in C VK Publishers 2018
5. Physics for Information Science Vishnu Prints Media 2018
6. Problem Solving and Python Programming VK Publishers 2019



Sl.No. Name of Inventors Title of patent File number   Status
1. Suganya Devi, K.,  P. Srinivasan,                                    Sivaji Bandyopadhyay Online Payment system and      method 201931025522  Published
2. Suganya Devi, K.,  P. Srinivasan,                                   Sivaji Bandyopadhyay Image based system for          Detecting Plant Diseases 201931046059  Filed
3. Suganya Devi, K.,  P. Srinivasan System on Chip to Receive        Multiple Frequency 202031027960  Published


  1. Life member in ACEEE from Jan 2009
  2. Life member in ISTE from Jan 2011
  3. Member in Indian Science Congress from 2017
  4. Member in IEEE

M. Tech Dissertation Supervised/Ongoing 

Completed : 11

Name of the Scholar Title of the Dissertation Name of the University Month and Year
Ms.J.Jayachitra                        (01109901520) Personal Authentication based on IRIS Texture analysis Anna University, Chennai 2012
Mr.N.PrabuShankar                           (01109901537) A Change in Sequence based speedy algorithm for Video Object Detection and Tracking Anna University, Chennai 2012
Mr.S.Aravindhkumar       (01109901506) Foreground Extraction based on OFBM and SMED approach Anna University, Chennai 2012
Ms.S.Poornima                    (01109901536) Efficient Background Subtraaction using Fuzzy CMEANS Anna University, Chennai 2012
Ms.P.Jayabharathi                    (01109901519) Remote Monitoring and Security alert using Mobile Anna University, Chennai 2012
Ms.H.Ambika                           (01110901003) Moving Region Segmentation from Compressed video using global motion estimation by macroblock classification and MRFmodel Anna University, Chennai 2013
Ms.G.Selvasanthi                  (01110901062) Efficient foreground object detection using background subtraction Anna University, Chennai 2013
S.Manikandan                    (01110901036) Object motion detection using background matching framenwork Anna University, Chennai 2013
Mr.S.Jayaraj                     (810011993024) Automated Video enhancement for image deblurring by using wavelet based fusion Anna University, Chennai 2014
Mr.Sabarinathan M      (810011993054) Automatic VOETechniques using CRF and Visual Saliency Method Anna University, Chennai 2014
Mr. Anandamoy Bandyopadhyay             (18-2-5-111) Unsupervised Anomaly Detection in Mammograms using Generative Modelling NIT, Silchar 2020


Ph.D. Supervised / Ongoing  Ongoing (09)