Dr. Suganya Devi K

 
Associate Professor
Phone: +91-9442281243
Email: suganyanits@gmail.com, suganya@cse.nits.ac.in
Date of Joining: 05/10/2018
Academic/Industrial Experience: 18+ years
Room No.: CS 26

Academic Details

Academic Qualifications

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

 

Academic Experience

  • National Institute of Technology Silchar                    :  From – October, 2018          To –  Till date.
  • Anna University, Chennai                                             :  From – September, 2008     To –  September, 2018.
  • Annai Teresa College of Engineering, Tamilnadu     :  From – April, 2008                To –  August, 2008.
  • IFET College of Engineering, Tamilnadu                     :  From –  June, 2003               To –  August 2006.

 

Subjects Handled

  • 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

 

Research Area / Specialization

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

 

Achievements/ Awards

1.  Achieved Gold Medal in M.Tech.

2.  Achieved Tmt. Vai. Mu. Kothainayaki Ammal Award for the contribution towards teaching and societal development.

3. Achieved Best paper Award for ‘Secure E-Pay System Using Steganography and Visual Cryptography ”  World Academy of Science, Engineering and Technology conference 2017 singapore.

4. Achieved Best paper Award for “ICTS-Dataset: Indian Cautionary Traffic Sign Classification”  in IEEE International Conference On Distributed Computing And Electrical Circuits And Electronics (ICDCECE-2022) from April 23 & 24, 2022, Bellari, Bangalore.

5. Achieved Best paper Award for “Detecting Laryngeal Cancer Lesions from Endoscopy Images using Deep Ensemble Model” in First International Conference on Signal Processing, Computation, Electronics, Power, Telecommunication (IConSCEPT 2023), NIT Puducherry, India, 25-26, May 2023

 

Research Publications/Activities

Patents (08)

Sl.No. Name of Inventors Title of patent File number   Patent  country Status
1. Suganya Devi K.,                    P.Srinivasan,                                Sivaji Bandyopadhyay Online Payment system and method 201931025522     India  Under Examination
2. Suganya Devi K.,                  P.Srinivasan,                                Sivaji Bandyopadhyay Image based system for  Detecting Plant Diseases 201931046059     India   Under Examination
3. Suganya Devi K.,                  P.Srinivasan System on Chip to Receive Multiple Frequency 202031027960     India  Published
4. Suganya Devi K.,                  Sivaji  Bandyopadhyay,            P.Srinivasan,                              Vadaparthi Nagesh,                  Golluguri  N V RajaReddy An Efficient Artificial Fish Swarm Optimization based method for Disease Detection in Oryza Sativa   2021105554   Australia Granted
5. Suganya Devi K.,                  Satish Kumar Satti,                    P.Srinivasan,                              K. Sekar,                                      Naga Venu Vishnumurthy Ravipati  A System to Recognize Cautionary Traffic Signs in Real-Time Using an Optimized Adaptive Boosting Cascade Classifier and a Method Thereof  2022/05203    South         Africa Granted
6. Suganya Devi K.,                  Shankar K,                                R.Murugan,                                  P. Srinivasan,                              Sreejith S A Device for Assisting Respiration 202231035556 India Granted
7 Suganya Devi K.,                  Shankar K,                                R.Murugan,                                Sreejith S,                                    Sourya kumar Nej,                    P. Srinivasan A Dual Output Multistage switched Capacitor Quadratic Boost DC-DC Converter Device No. 20 2022 104 672 Germany Granted
8 Suganya Devi K.,                  Prasenjit Dhar,                                Srinivasan P.,                                G. Arutperumjothi,                    Ramanuj Bhattacharjee A Method and System for Classification of RBC Morphology through Intelligent Image Processing No. 2023/06721 South Africa Accepted

 

Books Published (07)

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
7.  Information Retrieval: Models and Concepts Wiley Publishers 2021

 

Books Chapters Published (07)

7. Sekar K., Suganya Devi K., Dheepa T., Srinivasan P., (2023)” Chemosensors/Bioimaging Applications” Book: Schiff Base Metal Complexes: Synthesis and Applications, First Edition (Eds.) Pranjit Barman and Anmol Singh,  WILEY-VCH GmbH. https://www.wiley.com/en-us/9783527350704 [Indexed: SCIE] . 
6. Prasenjit Dhar, Suganya Devi K., Sekar K., Satish Kumar Satti and Srinivasan P. Badal Soni,(2022),”Determination of Peripheral Blood Smear elements count by Deep Learning Technique”, Book: Advances in Deep Learning for Biomedical Engineering (DeepBiomed 2021), (Scopus) (Accepted).
5. Sekar K., Suganya Devi K., Satish Kumar Satti, Prasenjit Dhar, Srinivasan P. and Dheepa T. ,(2022),”Accurate Detection of COVID-19 and Pneumonia from Chest X-Rays and Computed Tomography Images using Deep Learning Model”, Book: Advances in Deep Learning for Biomedical Engineering (DeepBiomed 2021), (Scopus) (Accepted).
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]

 

International Journal Articles (52)

INTERNATIONAL JOURNALS (51) 
52. S. Berlin Shaheema,  Suganya Devi K., Naresh Babu Muppalaneni (2024) “Explainability based Panoptic brain tumor segmentation using a hybrid PA-NET with GCNN-ResNet50″, Biomedical Signal Processing and Control, 2024, doi:    [Indexed: SCIE, Impact Factor: 5.1] [Q1 in SJR citation index]
51. Vasireddi Hemanth Kumar,  K. Suganya Devi, G N V RajaReddy (2024) ” DR-XAI: Explainable Deep Learning Model for Accurate Diabetic Retinopathy Severity Assessment”, Arabian Journal for Science and Engineering., 2024, doi:    [Indexed: SCIE, Impact Factor: 2.807] [Q1 in SJR citation index]
50. Vasireddi Hemanth Kumar,  K. Suganya Devi, G N V RajaReddy (2024) ” An enumerative pre-processing approach for Retinopathy severity grading using an interpretable classifier: A Comparative Study”, Graefe’s Archive for Clinical and Experimental Ophthalmology., 2024, doi:    [Indexed: SCIE, Impact Factor: 2.9] [Q1 in SJR citation index]
49. J Jayachitra,  K. Suganya Devi, S. V  Manisekaran,Satish Kumar Satti (2023) ” Terahertz video-based hidden object detection using YOLOv5m and mutation-enabled salp swarm algorithm for enhanced accuracy and faster recognition”, The Journal of Supercomputing, 2023, doi:10.1080/21681163.2023.2219755   [Indexed: SCIE, Impact Factor: 3.3] [Q2 in SJR citation index]
48. Prasenjit Dhar,  K. Suganya Devi, Satish Kumar Satti, P. Srinivasan (2023) ” An hybrid soft attention based XGBoost model for classification of poikilocytosis blood cells”, Evolving Systems,06 November 2023, doi:10.1080/21681163.2023.2219755   [Indexed: SCIE, Impact Factor: 3.2] [Q2 in SJR citation index]
47. J Jayachitra,  K. Suganya Devi, S. V  Manisekaran (2023) ” An optimal deep learning model for Recognition of Hidden Hazardous weapons in Terahertz Millimeter Wave images”, Earth Science Informatics,10 August 2023, doi:10.1080/21681163.2023.2219755   [Indexed: SCIE, Impact Factor: 2.8] [Q4 in SJR citation index]
46. D. Anitha, C. Rani, K. Suganya Devi, (2023) “Underwater Image Enhancement for Efficient Object Detection using Convolutional Neural Networks for Environment Sustainability”, Journal of Environmental Protection and Ecology, [Accepted] [Indexed: SCIE] [Q3 in SJR citation index]
45. NV Rajareddy Goluguri , Suganya Devi K , G sandhya devi, Gurpreet singh chhabra, (2023) “ATRLeNet- A Deep Learning Model for Oryza Sativa Plant Disease Classification”, Traitement du Signal, [Accepted] [Indexed: SCIE, Impact Factor: 2.299 ] [Q3 in SJR citation index]
44. Prasenjit Dhar, K. Suganya Devi, Padmanabhan Srinivasan, (2023) “CNN-RSVM: a hybrid approach for classification of poikilocytosis using convolutional neural network and radial kernel basis support vector machine”, Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization, June 2023, doi: 10.1080/21681163.2023.2219755 [Indexed: Scopus] [Q3 in SJR citation index] 
43. Sekar K., Suganya Devi K., Satish Kumar Satti, Srinivasan P., (2023) ” EEEDCS: Enhanced energy efficient distributed compressive sensing based data collection for WSNs,” Sustainable Computing: Informatics and Systems, 100871, ISSN 2210-5379, https://doi.org/10.1016/j.suscom.2023.100871. [Indexed: SCIE, Impact Factor: 4.923] [Q1 in SJR citation index] 
42. Vasireddi Hemant Kumar, K  Suganya Devi, (2023), “DR-XAI: An explainable deep learning framework for Diabetic Retinopathy severity grading” SN Computer Science-Springer. [Accepted] [Indexed: Scopus] [Q2 in SJR citation index]
41. Prasenjit Dhar, Suganya Devi K., Satish Kumar Satti, Srinivasan P., (2023),  “HPKNN : Hyper‐parameter Optimized KNN Classifier for Classification of Poikilocytosis.” International Journal of Imaging Systems and Technology, Jan. 2023, p. ima.22841. DOI.org (Crossref), https://doi.org/10.1002/ima.22841 [Indexed: SCIE, Impact Factor: 2.177 ] [Q2 in SJR citation index]
40. NV Rajareddy Goluguri , Suganya Devi K , Prathima CH.,(2022),”Infectious diseases of Rice plants classified using a deep learning-powered Least Squares Support Vector Machine Model”, Indian  Journal of Computer Science  and Engineering 13(5):1640-1659.  DOI:10.21817/indjcse/2022/v13i5/221305186.[Indexed: Scopus ] [Q4 in SJR citation index]
39. Satish Kumar Satti, Suganya Devi,K., Srinivasan, P., (2022), Recognizing the Indian Cautionary Traffic Signs using GAN, Improved Mask R-CNN, and Grab Cut. Concurrency Computat Pract Exper. 2022;e7453. doi:10.1002/cpe.7453 [Indexed: SCIE, Impact Factor: 1.831 ] [Q3 in SJR citation index]
38. Prasenjit Dhar, Suganya Devi K., Satish Kumar Satti, Srinivasan P., (2022), “Efficient detection and partitioning of overlapped red blood cells using image processing approach. Innovations Syst Softw Eng (2022). https://doi.org/10.1007/s11334-022-00478-y [Indexed: Scopus, Impact Factor: 1.360 ] [Q3 in SJR citation index]
37. Satish Kumar Satti, Suganya Devi K, Prasenjit Dhar, Srinivasan P.,(2022),”Detecting potholes on Indian roads using Haar feature-based cascade classifier, convolutional neural network, and instance segmentation”, Soft Comput. (2022). https://doi.org/10.1007/s00500-022-07265-8    [Indexed: SCIE, Impact Factor: 3.732] [Q2 in SJR citation index]
36. K. Sekar, K. Suganya Devi and P. Srinivasan,(2022), “Compressed Tensor Completion: A Robust Technique for Fast and Efficient Data Reconstruction in Wireless Sensor Networks,” in IEEE Sensors Journal, vol. 22, no. 11, pp. 10794-10807, 1 June, 2022,  https://doi.org/10.1109/JSEN.2022.3169226.  [Indexed: SCI, Impact Factor: 4.325] [Q1 in SJR citation index] 
35. G. Arutperumjothi, K. Suganya Devi, C. Rani and P. Srinivasan,(2023), “Qualitative abnormalities of peripheral blood smear images using deep learning techniques,” Intelligent Automation & Soft Computing, vol. 35, no.1, pp. 1069–1086, 2023. doi:10.32604/iasc.2023.028423 [Indexed: SCIE, Impact Factor: 3.04] [Q3 in SJR citation index]
34. N V RajaReddy Goluguri, Suganya Devi K, Hemanth Kumar V, (2021),” Fine Tuning a Deep Convolutional Neural Network with Nature Inspired Cat Swarm Optimization in order to Categorize oryza Sativa Diseases, Journal of Tianjin University Science and Technology, Vol:54 Issue:12:2021, DOI: 10.17605/OSF.IO/KHX2W [Indexed: Scopus, Impact Factor: 1.1] [Q3 in SJR citation index]
33. Satish Kumar Satti,  Suganya Devi,K., Prasad Maddula, N V Vishnumoorthy Ravipati, (2022),” Unified Approach for Detecting Traffic signs and Potholes on Indian Roads”, Journal of King Saud University. https://doi.org/10.1016/j.jksuci.2021.12.006.  [Indexed: SCIE, Impact Factor: 8.839] [Q1 in SJR citation index]
32. Satish Kumar Satti, Suganya Devi,K.,, Srinivasan, P.,(2022), R-ICTS: Recognize the Indian cautionary traffic signs in real-time using an optimized adaptive boosting cascade classifier and a convolutional neural network. Concurrency Computat Pract Exper. 2022; 34( 10):e6796.  doi:10.1002/cpe.6796  [Indexed: SCIE, Impact Factor: 1.831 ] [Q3 in SJR citation index]
 31. Ameera Natasha Mohammad, Warusia  Yassin, Rabiah Ahamad, Suganya Devi, K., (2021),” Modelling An Insider Threats Detection Method Against Email Content,” Journal of Theoretical and Applied Information Technology, Vol.99. No 16. http://www.jatit.org/volumes/Vol99No16/9Vol99No16.pdf [Indexed: Scopus] [Q4 in SJR citation index]
30. Vasireddi Hemant Kumar, K  Suganya Devi, G N V RajaReddy.,(2021), “Deep feed forward neural network-based screening system for diabetic retinopathy severity classification using the lion optimization algorithm”, Graefes Arch Clin Exp Ophthalmol. 2021 Sep 10. doi: 10.1007/s00417-021-05375-x  [Indexed: SCIE, Impact Factor: 3.535 ][Q1 in SJR citation index]
29. Sekar, K., Suganya Devi, K. & Srinivasan, P.,(2021), “Energy Efficient Data Gathering using Spatio-temporal Compressive Sensing for WSNs”, Wireless Pers Commun. https://doi.org/10.1007/s11277-020-07922-x. [Indexed: SCIE, Impact Factor: 2.071][Q3 in SJR citation index]
28. Suganya Devi, K.,  P. Srinivasan, Sivaji Bandyopadhyay, (2020), “H2K- A rubust and optimum approach for detection and classification of groundnut leaf diseases”,   Computers and Electronics in Agriculture, Elsevier,Volume 178, 105749, ISSN 0168-1699, https://doi.org/10.1016/j.compag.2020.105749  [Indexed: SCIE, Impact Factor: 6.757]. [Q1 in SJR citation index]
27. 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.  https://www.jardcs.org/abstract.php?id=5108
26. 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: 5.102][Q1 in SJR citation index]
25. 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: 4.754]                            [Q1 in SJR citation index]
24. 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: 9.588]   [Q1 in SJR citation index]
23. 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: 3.732]                        [Q2 in SJR citation index]
22. 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.  : https://ssrn.com/abstract=3447018
[Indexed: Elsevier SSRN, Impact Factor : 7.812] [Q4 in SJR citation index]
21. 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] [Q4 in SJR citation index]
20. 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. https://acadpubl.eu/hub/2018-119-14/articles/2/161.pdf [Indexed: Scopus, Impact Factor : 7.19] [Q4 in SJR citation index]
19. M.P.Vaishnnave, Suganya Devi, K.,  Srinivasan, P., (2019), ‘A Study on Deep Learning models for Satellite Imagery’, International Journal of Applied Engineering Research, Vol.  14(4), pp.881-887. https://www.ripublication.com/ijaer19/ijaerv14n4_06.pdf [Indexed: Scopus, Impact Factor : 0.51][Q2 in SJR citation index]
18. M.P.Vaishnnave, Suganya Devi,K.,  Srinivasan, P., (2019), ‘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][Q2 in SJR citation index]
17. 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]
16. 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][Q3 in SJR citation index]
15. 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][Q1 in SJR citation index]
 14. S. Sathiyamoorthi, P. Srinivasan, K. Suganya Devi, (2015), ” Synthesis, Spectral, Thermal, Optical and Dielectric Studies of Some Organic Arylidene Derivatives” International Journal of Mathematical and Computational Sciences, 11 (7). [Indexed: Scopus, Impact Factor: 0.176]
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][Q3 in SJR citation index]
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][Q3 in SJR citation index]
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: 7.802][Q1 in SJR citation index]
 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: SCIE, Impact Factor: 0.60] [Q3 in SJR citation index]
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]

 

International Conference Articles (29)

INTERNATIONAL CONFERENCES (28)
29. Prasenjit Dhar, Suganya Devi K, and Sinivasan P, (2024),  “ Anisocytosis Abnormalities Classification using Spatial Attention Mechanism “, 3rd 2024 INTERNATIONAL CONFERENCE ON COMPUTING AND DATA SCIENCE (ICCDS-2024), , NOrganised by Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai,India, (IEEE), 26th  to  27th   April 2024. [Accepted]
28. Prasenjit Dhar, Mohit Kumar Singh, Tanveer Ahmed, and Suganya Devi K, (2023),  “ Classification of Poikilocytosis Abnormality using Ensemble Deep Learning Technique “, 3rd International Conference on Emerging Electronics and Automation (E2A-2023), National Institute of Technology Silchar, Assam, India, Springer, 15th  to  17th   December 2023. [Presented]
27. Himanshi Singh, Suganya Devi K, Shradda Singh Gaur, Ramanuj Bhattacharjee, (2023),  “ Automated Skin Cancer Detection using Deep Learning with Self-Attention Mechanism “, 2nd International Conference on Computational Intelligence and Sustainable Engineering Solution (CISES-2023), Greater Noida, U.P., India, 28th  to  30th   April 2023.  pp. 464-469, IEEE, [Indexed: Scopus] DOI: 10.1109/CISES58720.2023.10183586
26. Ramanuj Bhattacharjee, K. Suganya Devi, Vijayakanth S, (2023),”Detecting Laryngeal Cancer Lesions from Endoscopy Images using Deep Ensemble Model”,  First International Conference on Signal Processing, Computation, Electronics, Power, Telecommunication (IConSCEPT 2023), Karaikal , India, 2023,pp. 1-6, IEEE [Indexed: Scopus [Received Best paper Award] 10.1109/IConSCEPT57958.2023.10170113
25. Sekar K., Suganya Devi K., J.Suganthi, Dheepa T., (2023), “Jellyfish Search Algorithm based Optimal Routing Protocol for Energy Efficient Data Aggregation in Wireless Sensor Networks,” 2023 International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC), Silchar, India, 2023, pp. 1-6, IEEE 10.1109/ISACC56298.2023.10084023.   [Indexed: Scopus]
24. Prasenjit Dhar, Suganya Devi K., Sekar K., and Srinivasan P., (2023),”Morphology of Red Blood Cells Classification using Deep Learning Approach,”,“2023 IEEE Third International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and  Talent (TEMSMET)”  Vidya Vikas Insititute of Engineering &Technology,Mysuru, India, 2023, pp. 1-6, doi: 10.1109/TEMSMET56707.2023.10150054 [Indexed: Scopus]
23. Ramanuj Bhattacharjee, K. Suganya Devi, K. Sekar, Dheepa T, (2022), “Deep Neural Network Based Automatic Detection and Classification of Lung Nodules from CT images,” 2022 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON), Bangalore, India, 2022, pp. 1-4, IEEE10.1109/SMARTGENCON56628.2022.10084070.  [Indexed: Scopus]
22. S. K. Satti, K. Suganya Devi, K. Sekar, P. Dhar and P. Srinivasan, “ICTS: Indian Cautionary Traffic Sign Classification Using Deep Learning,” 2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE), 2022, pp. 1-7, 10.1109/ICDCECE53908.2022.9792996.[Indexed: Scopus] [Received Best paper Award]
        21. Sekar K., Devi K.S., Srinivasan P., Dheepa T. (2022) Deep Wavelet-Based Compressive Sensing Data Reconstruction for Wireless Visual Sensor Networks. In: Das K.N., Das D., Ray A.K., Suganthan P.N. (eds) Proceedings of the International Conference on Computational Intelligence and Sustainable Technologies. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-6893-7_31.  [Indexed: Scopus]
20. Suganya Devi K., Sekar K., Singh N., Baroi S.J., Sah D.K., Borahi K. (2022) Detection of Abnormalities in Mammograms Using Deep Convolutional Neural Networks. In: Das K.N., Das D., Ray A.K., Suganthan P.N. (eds) Proceedings of the International Conference on Computational Intelligence and Sustainable Technologies. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-6893-7_37 [Indexed: Scopus]
19. K. Sekar, K. Suganya Devi, P. Srinivasan and V. M. SenthilKumar, (2020)”Deep Wavelet Architecture for Compressive sensing Recovery,” 2020 Seventh IEEE International Conference on Information Technology Trends (ITT), Abu Dhabi, United Arab Emirates, 2020, pp. 185-189, https://doi: 10.1109/ITT51279.2020.9320773. [Indexed: Scopus]
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 -IEEE 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, IEEE 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, IEEE 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]

 

Datasets Published (01)

Dataset:

 1. Satti, Satish Kumar, and K. Suganya Devi. “Indian Cautionary Traffic Sign data-set.” IEEE Dataport (2020).

 

Peer Review Member (Journals)

  • Artificial Intelligence review Journal
  • Multi Media tools and Applications
  • International Journal of Technology Assessment in Health Care
  • IEEE Access
  • Engineering Applications of Artificial Intelligence
  • Journal of Super Computing
  • Computational and Structural Biotechnology Journal
  • Expert Systems and Applications Journal
  • Innovations in Systems and Software Engineering
  • Ambient Intelligence and Humanized Computing
  • Imaging science journal (Taylor & Francis)
  • Mathematical problems in engineering (Hindawi)
  • Inderscience Journal
  • Signal, Image, and Video Processing
  • Medical & Biological Engineering & Computing
  • Applied Artificial Intelligence
  • Qeios Journal

 

TPC Member (International Conferences)

  • BIGDML-2019
  • MIND-2020
  • BIGDML – 2021
  • CoMSO 2021
  • E2A – 2021
  • MLIoT-2021
  • BHARAT-2022

 

Research Guidance

PhD -Supervised/Ongoing

NIT Silchar:   Completed/Submitted: 03    Ongoing: 06
Sl.No. Name of the Scholar Tentative title of Research work  / Title of Thesis Year Status
1. Mr. K.Sekar                  (19-3-05-118) Pragmatic Prospects of Compressive Sensing  for  Energy-Efficient  Data Collection in   Wireless Sensor Networks  2023 Completed
2. Mr. Prasenjit Dhar        (19-3-05-109)
Segmentation and classification of Microscopic blood Images.
 Ongoing
3. Mr. Satish Kumar Satti (19-3-05-112) An Advanced Driving Assistance System for Road Safety on Indian Structure  Roads.  2023 Completed
4. Mr. GNV Raja Reddy        (19-3-05-111) Identification and classification of Oryza Sativa diseases with the help of improved image processing and optimized light weight deep convolutional neural network.  2023 Completed
5. Mr. Hemant Kumar Vassireddy(19-3-05-128) Diabetic  Retinopathy Severity Classification using various Optimization Techniques. Ongoing
6. Mr. Satyajit Swain (21302046)  Hidden Object Detection in Different Types of Images using Data Augmentation and Transfer Learning Ongoing
7. Mr. Alagasan (22302009)  Alzheimer’s disease classification using deep learning Ongoing
8. Mrs. Berlin Shaheema S (21302030) Brain Tumor Segmentation and Classification Ongoing
9. Mr. Vuruvindi Vikranth (23302011) - Ongoing
Doctroal Students (CCHRC and NIT Silchar): Completed/Submitted: 00    Ongioing: 03
1. Mrs. Anuradha Talukdar (220302002) Detection and Classification of Breast Cancer using deep learning Models Ongoing
2. Mr. S. Vijayakanth (22302014) - Ongoing
3. Mr. Abhishek Sarkar (22302012) - Ongoing
Other University (Anna University Chennai): Completed/Submitted: 03    Ongioing: 01
1. Ms. M.P. Vishnnave (16244597387) Automatic Detection of  Groundnut leaf Diseases using Machine Learning Algorithms. 2022 Completed
2. Ms. J.Jayachitra (16234597402) Video Surveillance System for Detecting Hidden Objects 2023 Thesis Submitted
3. Mr. G.Arutperumjothi (16124597325) An Automated Algorithm For Detection of Abnormalities
& Anemia in Blood Cells From Peripheral Blood Smears		  2023 Completed
4. Ms. Pauline Freeda D (17244591420) An Extended Chaotic Encryption of Multidimensional Data over Cloud in HealthCare System Ongoing

 

M.Tech. Dissertation - Supervised/Ongoing

NIT Silchar:
Sl.No. Name of the Scholar Title of the Dissertation Year Status
1. Mr. Anandamoy Bandyopadhyay                        (18- 2-2-111) Unsupervised Anomaly Detection in Mammograms using Generative Modelling 2020  Completed
2. Mr. Rajashekar Gadde                   (19-2-2-101) Lung Cancer Detection and Classification using 3DCNN 2021 Completed
3. Mr. A. Karthic                                 (20-22-118) Concealed Object Detection through customized YOLO Model  2022 Completed
4. Mr. Ramanuj Battacharjee  Detection and classification of laryngeal cancer using CNN  2023 Completed
5. Mr. Rahul Kumar  Fracture Detection and classification Ongoing
Other University (Anna University Chennai):
4. Ms.J.Jayachitra                   (01109901520) Personal Authentication based on IRIS Texture analysis 2012 Completed
5. Mr.N.PrabuShankar  (01109901537) A Change in Sequence based speedy algorithm for Video Object Detection and Tracking 2012 Completed
6. Mr.S.Aravindhkumar (01109901506) Foreground Extraction based on OFBM and SMED approach 2012 Completed
7. Ms.S.Poornima              (01109901536) Efficient Background Subtraaction using Fuzzy CMEANS 2012 Completed
8. Ms.P.Jayabharathi   (01109901519) Remote Monitoring and Security alert using Mobile 2012 Completed
9. Ms.H.Ambika                  (01110901003) Moving Region Segmentation from Compressed video using global motion estimation by macroblock classification and MRF model 2012 Completed
10. Ms.G.Selvasanthi   (01110901062) Efficient foreground object detection using background subtraction 2013 Completed
11. S.Manikandan                   (01110901036) Object motion detection using background matching framework 2013 Completed
12. Mr.S.Jayaraj        (810011993024) Automated Video enhancement for image deblurring by using wavelet based fusion 2014 Completed
13. Mr.Sabarinathan M   (810011993054) Automatic VOETechniques using CRF and Visual Saliency Method 2014 Completed

 

B.Tech. Dissertation - Supervised/Ongoing

NIT Silchar:

Sl.No. Name of the Students Tentative title of Research work  / Title of Thesis Year Status
1.
  • Nivedita Singh(16-1-5-001)
  • Kaushik Borah(16-1-5-003)
  • Dhiraj Kr. Sah (16-1-5-019)
  • Subhra Jyoti Baroi                (16-1-5-020)
  Detection of abnormalities in Mammograms 2020 Completed
2.
  • Abhisek Ray (17-1-5-029)
  • Manojeet Das (17-1-5-033)
  • Padmanabha Chakraborty (17-1-5-14)
  • Usmita Boro (17-1-5-009)
  Detection of COVID-19 from Chest X-Rays using Deep Learning and predicting severity score  2021  Completed
3.
  • Mohit Kumar Singh         (18-1-5-052)
  • Tanveer Ahmed                 (18-1-5-010)
  • Neelotpal Choudhury Das     (18-1-5-005)
  • Chinmoy Talukdar             (18-1-5-013)
  • Aminesh Kumar Sing         (18-1-5-048)
  Detection of Abnormalities in RBC using Deep Learning Techniques 2022 Completed
4.
  • Himanshi Singh (1912172)
  • Shraddha Singh Gaur (1912060)
  • Jatoth Suman (1912153)
 Automated Skin Cancer Detection using Deep Learning with Self-Attention Mechanism 2023 Completed
5.
  • Nirmi barman (1912124)
  • Sumalatha boddepalli (1912144)
  • Sindhu Garikipati (1912145)
 An image captioning model using combination of cnn and attention based lstm. 2023 Completed

 

Faculty Development/Training Activities/STTPs

Programmes Attended

Sl.No Title of the programme No.of days
1. Attended  one week FDP, on  “Cyber Security” from 14/10/2019- 19/10/2019,Jointly Organized by NIT Silchar and Shivaji University.  6 days
2. Attended  TEQIP-III sponsored one week Faculty development program on “ Curriculum Design and  Implementation for Outcome based Education (CuDIOBE-2019) from 27-31, May-2019, organized by NIT Silchar in association with PMMM- NMTT, DHE, Govt. of India.  5 Days
3. Attended  one week Workshop on Intellectual Property Rights and Development (IPRTD-2019) from January 21-25, 2019, organized by Department of Management studies, NIT Silchar. 5 Days
4. Participated & completed successfully AICTE Training And Learning (ATAL)
Academy OnlineElementary One week  FDP on “Green Technology for Sustainable Life: Indian Perspective” from 19/07/2021 to 23/07/2021 at National Institute of Technology, Silchar, Assam.		 5 Days
5. Participated & completed successfully AICTE Training And Learning (ATAL)
Academy Blended/Hybrid FDP on “Digital Supply Chain” from 2022-10-10-2022-10-15 to 2022-10-17-2022-10-21 at NIT Silchar .
 12 days
6. Attended Five Days Faculty Development Programme on Artificial Intelligence and Machine Learning for Medical Image Analysis using Python from August 21-25, 2023, organized by CMR Institute of Technology, Bengaluru, India. 5 Days

 

Programmes Organized

Sl.No Title of the programme No.of days Amount (Rs.) Status
1. AICTE-ATAL sponsored one week Faculty Development Progamme for CBSE school teachers from 26-10-2020 to 30-10-2020, in NIT Silchar.  5 days 93,000/-  Completed
2. AICTE  sponsored one week Faculty Development Progamme on ” Research Avenues in Machine Learning and AI for Societal Issues” from 14-03-2022 to 18-03-2022, in NIT Silchar.  5 days 75,000/-  Completed

 

GIAN Course 

Course Organized

Sl.No Title of the programme No.of days Amount (Rs.) Status
1. Ministry of Education sponsored GIAN course on Medical Imaging and Technology” from July 25-29, 2022 , in NIT Silchar.  5 days 3,28,000/-  Completed

 

Faculty Interaction in Outside World

Seminars/ Gust Lectures/ Invited Talks

Sl.No Title of the programme
18. Delivered a  invited talk on “Recent Trends and Challenges in Medical Image Analysis” from March 18 – 22 2024, organized by CMR Institute of Technology, Bengaluru, India 5 Days
17.  Delivered a  invited talk on “Advanced Techniques in Image Processing: Form Medical Diagnosis to Autonomous Vechicles” on 18 October 2023, organized by Mahendra Engineering College for Women, Namakkal, Tamil Nadu.
16.  Delivered a  invited talk on “Image Processing & Applications” on 25 February 2023, organized by the Department of Computer Science and Engineering, School of  Computing & Informatics, VFSTR Deemed to be University, Vadlamudi, Andra Pradesh.
15. Delivered a “Guest Lecture on Machine Learning in Neuroimaging Biomarkers” on 12 September 2022, organized by the School of Computer Science and Engineering(SCOPE), VIT-AP University, Andra Pradesh.
14. Invited talk in CSIR Sponsored One Day National Level Seminar titled “Industrial IoT and Digital Twins for a Smart Factory” on 22 April 2022., organized by  IFET  College of Engineering, Tamil nadu-605108.
13. Invited talk in seven days  AICTE -AU sponsored STTP on ” Information Security” on  06.01.2022  at madras Institute of Technology(MIT) campus, Anna University Chennai, Tamilnadu, India.
12. Expert talk in six days FDTP on “CS-8091:Big Data Analytics” on 03.01.2022, organized by the Department of Information Technology, National Engineering  College , Kovilpatty, Tamilnadu, India-628503
11.. Key Note Speaker in Two Days CSIR seminar on ” Recent Trends in Machine Learning for Neuroimaging” on 29-11-2021, organized by  IFET  College of Engineering, Tamil nadu-605108.
10. Expert Talk in AICTE-ISTE sponsored six days Induction/Refresher Programme on “Nature Inspired Computing Techniques-An Overview” on 18-01-2021 organized by PSNA College of Engineering and Technology Tamil nadu.
9. Expert Talk in AICTE-QIP sponsored Two weeks online FDP on “Computer Vision and Image Processing : Research Issues, innovation and Application “on 06-01-2021 organized by PSNA College of Engineering and Technology Tamil nadu.
8. Expert Talk in AICTE sponsored six days STTP on “Biosensors, Medical Imaging and Signal Processing Techniques for Disease Diagnosis ” on 21-12-2020 organized by PSNA College of Engineering and Technology Tamil nadu.
7. Expert Talk in AICTE-ISTE sponsored six Days STTP on “Research Challenges and Applications of Internet of Things (IOT) in smart Agriculture” on 19-12-2020 organized by Kongunadu College of Engineering and Technology, Tiruchirappalli, Tamil nadu.
6. Expert Talk in webinar on “Data Science” on 08-06-2020 organized by Annai Teresa Engineering College, Tamil nadu.
5. Expert Talk in Two Days FDP on “Application of Tools and Techniques in Recent Research Perspectives” on 08-01-2020 organized by Selvam College of Technology, Tamilnadu.
4. Expert Talk in Two Days State Level Workshop on “Impact of Artificial Intelligence and Deep Learning on future Applications”  on 09-10-2019 organized by Kongunadu College of Engineering and Technology, Tiruchirappalli, Tamil nadu.
3. Expert Talk in One day Awareness Program on “Anti Ragging and Women Harassment” Barak Valley Engineering College”  on 13-08-2019 organized by  Nirala, Karimganj-788701, Assam.
2. Expert talk in One Week Summer School On “Computer Vision and Pattern Recognition using Machine Learning (CVPRML-19)” on 22-26,July-2019 organized by the Department of ECE, NIT Silchar.
 1. Invited Lecture in “FDP on Servlets” on 12-06-2019 organized by University College of Engineering, Tindivanam, Tamilnadu

 

Session Chair/ Panel Discussion

Sl.No Title of the programme
2.  Session Chair in the 2023 IEEE International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering, organized by the department of Computer Science and Engineering, R.M.K. Engineering College, Chennai, India during 1th   and 2nd   November 2023.
1.  Panel discussion in  DHR-ICMR DIAMOnDS, ” National Conference cum workshop on ONCO-pathology with insights in Molecular Diagnostics”, organized by Cachar Cancer Hospital and Research Centre, Silchar, Assam, India on March 4th  and 5th, 2023.

 

 

Membership in Professional Societies

Professional Societies

 

 

 

Sl.No Name of the Professional Body
 Membership Category
 From
1.  American Council for an Energy-Efficient Economy (ACEEE)
  Life member  2009
2.  Indian Society for Technical Education (ISTE)  Life member 2011
3.  Indian Science Congress Association (ISCA) Life member 2017
4.  Institute of Electrical and Electronics Engineers (IEEE) Senior Member 2022
5.  Association for Computing Machinery (ACM) Member 2021
6. The Institution for Electronics and Telecommunication Engineers (IETE) Fellow 2022