Sukumar Letchmunan, Dr.

  • Sukumar  


  • Senior Lecturer

    Email : This email address is being protected from spambots. You need JavaScript enabled to view it.

    Tel : +604 653 4756
    Fax : +604 653 3335
    Room : 607

    School of Computer Sciences, Universiti Sains Malaysia, 11800 USM, Pulau Pinang

    Research Cluster

    Service Computing



  • Research Interest

    • Software Engineering
    • Software Metrics
    • Computer Systems
    • Machine Learning

    Specialization

    • Service Computing

Qualifications

DipCompSc, BCompSc, MCompSc (UPM)
PhD (University of Strathclyde, UK) 

 

Interests

Please feel free to drop an email or call Dr Sukumar if you keen to pursue your Master degree by research on "Software Metrics area". Dr Sukumar developed and illustrated of a proposed 5 step strategy for guiding decision making on the most appropriate techniques to use for given historical datasets. This strategy is yet been tested on Malaysia Software Industry environment. Therefore there are lots of investigation opportunities on this area. 

 

Projects

Grant Title : Software Behavioural based energy consumption model for developing energy efficient mobile applications.

Type Of Grant : Fundamental Research Grant Schema

Period Of Grant : 24/12/2013 -23/12/2016

Grant Amount : RM84000

 

Grant Title : Agile Project Manager Competency Model

Type Of Grant : Fundamental Research Grant Schema

Period Of Grant : 25/06/2014 -24/06/2017

Grant Amount : RM63400

 

Grant Title : An effective Algorithm for Computing Geodesic Distance

Type Of Grant : USM Short Term Grant

Period Of Grant : 15/08/2014 -14/08/2016

Grant Amount : RM40244

 

Grant Title : Culture- Sensitive Emotion Modelling for Intelligent Interfaces

Type Of Grant : USM Short Term Grant

Period Of Grant : 01/06/2014 -30/11/2016

Grant Amount : RM36100

 

Grant Title : Time Series Extrapolation Forecast

Type Of Grant : USM Short Term Grant

Period Of Grant : 15/05/2016 -14/05/2018

Grant Amount : RM27800

 

Grant Title : Developing and Validating a Digital Leadership Framework for Sustainable Performance of Private Higher Education

Type Of Grant : FRGS

Period Of Grant : 1/11/2020 -31/10/2022

Grant Amount : RM83400

 

Grant Title : Formulating a crime hotspot prediction model using enhanced density based clustering and auto regressive integrated moving averages techniques for improving prediction accuracy of resident burglary crime.

Type Of Grant : FRGS

Period Of Grant : 1/11/2020 -31/10/2023

Grant Amount : RM114450

Publications

 

2021

U. M. Butt et al., "Spatio-Temporal Crime Predictions by Leveraging Artificial Intelligence for Citizens Security in Smart Cities," in IEEE Access, vol. 9, pp. 47516-47529, 2021, doi: 10.1109/ACCESS.2021.3068306.
 

Khan T, Sherazi HHR, Ali M, Letchmunan S, Butt UM. Deep Learning-Based Growth Prediction System: A Use Case of China Agriculture. Agronomy. 2021; 11(8):1551. https://doi.org/10.3390/agronomy11081551

H. A. Ullah, S. Letchmunan, M. S. Zia, U. M. Butt and F. H. Hassan, "Analysis of Deep Neural Networks for Human Activity Recognition in Videos—A Systematic Literature Review," in IEEE Access, vol. 9, pp. 126366-126387, 2021, doi: 10.1109/ACCESS.2021.3110610.
 

2020

U. M. Butt, S. Letchmunan, F. H. Hassan, M. Ali, A. Baqir and H. H. R. Sherazi, "Spatio-Temporal Crime HotSpot Detection and Prediction: A Systematic Literature Review," in IEEE Access, vol. 8, pp. 166553-166574, 2020, doi: 10.1109/ACCESS.2020.3022808.
 
Unnisa Z., Zia S., Butt U.M., Letchmunan S., Ilyas S. (2020) Ensemble Usage for Classification of EEG Signals A Review with Comparison. In: Schmorrow D.D., Fidopiastis C.M. (eds) Augmented Cognition. Theoretical and Technological Approaches. HCII 2020. Lecture Notes in Computer Science, vol 12196. Springer, Cham. https://doi.org/10.1007/978-3-030-50353-6_14

Ilyas S., Zia S., Butt U. M., Letchmunan S. and Nisa Z. un 2020 Predicting the future transaction from large and imbalanced banking dataset Int. J. Adv. Comput. Sci. Appl. 11 273-286

 

2018

Mansor, Z., Arshad, N.H., Yahya, S., Letchmunan, S. Validated agile cost management success factors in software development projects (2018) International Journal of Advanced Intelligence Paradigms, 11 (2-Jan), pp. 5-18. DOI: 10.1504/IJAIP.2018.092950

2017

Ahmed, M.M., Letchmunan, S., Baharudin, A.S. Service network security management (SNSM) framework, a solution to SOSE security challenge (2017) Proceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016, , pp. 228-233. DOI: 10.1109/ICCSCE.2016.7893576

2016

Rana, T.A., Cheah, Y.-N., Letchmunan, S. Topic modeling in sentiment analysis: A systematic review (2016) Journal of ICT Research and Applications, 10 (1), pp. 76-93. DOI: 10.5614/itbj.ict.res.appl.2016.10.1.6

2015

Ahmed, M.M., Letchmunan, S. A systematic literature review on challenges in service oriented software engineering (2015) International Journal of Software Engineering and its Applications, 9 (6), pp. 173-186. DOI: 10.14257/ijseia.2015.9.6.17

2014

Vatankhah, N., Wei, K.T., Letchmunan, S. Usability measurement of Malaysian online tourism websites (2014) International Journal of Software Engineering and its Applications, 8 (12), pp. 1-18. DOI: 10.14257/ijseia.2014.8.12.01

Shakiru, A.O., Yusuf, M.A., Wei, K.T., Letchmunan, S. Software quality: Predicting reliability of a software using a decision tree (2014) Information Technology Journal, 13 (18), pp. 2755-2759. DOI: 10.3923/itj.2014.2755.2759

Sutling, K., Mansor, Z., Widyarto, S., Letchmunan, S., Arshad, N.H. Agile project manager behavior: The taxonomy (2014) 2014 8th Malaysian Software Engineering Conference, MySEC 2014, , pp. 234-239. DOI: 10.1109/MySec.2014.6986020

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