- Faculty of Information Technology
- Department of Computational Mathematics
- Professor
Contact information
Department of Computational Mathematics
Faculty of Information Technology
University of Moratuwa
Moratuwa
10400
Teaching and Administrative Activities
Artificial Neural Network and Evolutionary Computing -Undergraduate -2015
Complex Systems and Agent Technology -Undergraduate -2015
Natural Language Processing -Undergraduate -2015
Machine Learning and Pattern Recognition -Undergraduate -2015
Logic Programming and Artificial Cognitive Systems -Undergraduate -2015
Neural Network and Fuzzy Logic -Undergraduate -2015
Programming Essentials for Artificial Intelligencd -Postgraduate -2015
Evolutionary Computing -Postgraduate -2015
Fuzzy Reasoning -Postgraduate -2016
Data Mining and Data Warehousing -Postgraduate -2016
Director -Information technology research unit (2014 To date)
Coordinator -M.Sc in AI (2015 To date)
FICB - Steering Committee - Faculty Industry Consultative Board - Convener (2022 To date)
Course Coordinator - PG cert in Data Analysis and Pattern Recognition (2021 To date)
Director Postgraduate Studies - (2022 To 2023)
Research Activities
Computational Intelligence
 Artificial Neural Network – Theoretical modeling and Implementation of biologically realistic learning algorithms/ new frameworks/ threshold mechanisms.
 Multi-Agent-Systems – Logical Implementation of effective communication between agents.
 Genetic Algorithm - New approaches to optimize fitness function/ selection/ mutation criteria.
 Intelligent Informatics - Application of Rough set/ Fuzzy Logic/Genetic Algorithm/ Multi-Agent-Systems in decision behavior theory.
Deep Learning, Machine Learning
Education and Professional Affiliations
M.Eng, Nagaoka University of Technology ,2010 Control Engineering
Dr.Eng, Nagaoka University of Technology ,2013 Control Engineering
Bachelors, University of Kelaniya ,2014 Special in computer science and statistics
Masters, University Of Kelaniya ,
Bachelors, Nagaoka UT ,
Masters, Nagaoka UT ,
Sri Lankan Association of Artificial Intelligence(2014 To date)
IEEE Computational Intelligence Society(2015 To date)
INNS( To date)
JNSS( To date)
Career
Honours and Awards
Award of Japanese Government (Monbukagakusho) Scholarship from (Received 2013)
Award of Excellence for the outstanding performance in the Master Thesis Presentation in course of Management and Information Systems Engineering of Department of Management and Information Systems Science, in Graduate School of Engineering of Nagaoka Uni (Received )
Award for the Best Student paper at the 2nd International Conference of Kansei Engineering and Affective Systems in 2008 Nov 22nd -24th, Japan. (Received 2008)
Staff and Educational Development Association (SEDA) accreditation for Learning, Teaching, Assessing, Sep 2008, England. (Received 2008)
Award for the Best Project in Artificial Intelligence presented at the 4th Annual Sessions of Sri Lankan Association for Artificial Intelligence (SLAAI), October 2007, Sri Lanka. (Received 2007)
The Gold medal for The Best performance at the Special Degree Examinations held in 2003 by all the faculties, by the University of Kelaniya, Sri Lanka, January 2006. (Received 2006)
The Gold medal for The Best performance in Bachelor of Science (Special) Degree Examination held in 2003 by the University of Kelaniya, Sri Lanka, January 2006. (Received )
The Gold medal for The Best performance in Statistics & Computing at the Bachelor of Science (Special) Degree Examination held in 2003, by the University of Kelaniya, Sri Lanka, January 2006. (Received )
Publications*
Subha Fernanado & E.P.N. Udayakumara S.H. Kiriella,".Multidisciplinary Approaches in Artificial Intelligence- Evaluation of XAI Models for DCNN-Based Plant Disease Identification.",Cambridge Scholar,2024
J Kugarajeevan, T Kokul, A Ramanan, S Fernando,".Transformer Tracking Using Spatiotemporal Features.",2024 IEEE International Conference on Artificial Intelligence in Engineering,UOJ,2024,1-10
,".Adaptive Particle Swarm Optimization for Enhanced Convolutional Neural Network Model Training.",2024 9th International Conference on Information Technology Research (ICITR),UoM,2024,1-10
S Kiriella, S Fernando, EPN Udayakumara,".Identification of tomato diseases effectively using an attention-based EfficientNet model.",2nd International Conference on Computer Vision and Internet of Things,Online,2024,1-10
P Ekanayake, S Fernando, R Rodrigo, S Jayasena,".AI Based Solution to Optimize the Fertilizer Composition in Hydroponics Agriculture.",Proceedings of the 2023 15th International Conference on Machine Learning and Computing,Online,2023,158-164
D Abeysuriya, S Fernando, R Navarathna,".Beyond the run-rate: Forecasting framework for first innings score in T20 cricket.",2023 Moratuwa Engineering Research Conference (MERCon),UoM,2023,48-53
LK Rathnayke, S Fernando,".Deep Rule Visualizer: A Novel Explainable Deep Neural Network Visualization Architecture.",2023 7th SLAAI International Conference on Artificial Intelligence (SLAAI),Online,2023,1-13
A Atugoda, S Fernando,".Improved Particle Swarm Optimization for Optimizing The Deep Convolutional Neural Network.",2023 8th International Conference on Information Technology Research (ICITR),UoM,2023,1-10
Y Perera, R Karannagoda, D Weiman, S Fernando,".Multiple Objective Optimization Based Dietary Recommender System.",2023 8th International Conference on Information Technology Research (ICITR ),UoM,2023,1-10
S Kiriella, S Fernando, S Sumathipala, E Udayakumara,".Explainable AI techniques for Deep Convolutional Neural Network based plant disease identification.",2023 8th International Conference on Information Technology Research (ICITR),UoM,2023,1-10
Xavier, A., Tissera, D., Wijesinghe, R., Vithanage, K., Rodrigo, R., Fernando, S., Jayasena, S.,".On Large-Batch Training of Residual Networks with SignSGD.",5th International Conference on Advances in Artificial Intelligence,Virtual, Online; United Kingdom,2021,23-30
Thisarani, M., Fernando, S.,".Artificial intelligence for futuristic banking.",2021 IEEE International Conference on Engineering, Technology and Innovation, ICE/ITMC 2021,Cardiff; United Kingdom,2021,
Liyanage, T., Fernando, S.,".Optimizing Robotic Swarm Based Construction Tasks.",2021 7th International Conference on Control, Automation and Robotics, ICCAR 2021,Singapore,2021,89-92
Munasingha, S.C., Fernando,,".Capsule Network based Super Resolution Method for Medical Image Enhancement.",6th International Conference on Signal and Image Processing, ICSIP 2021,Nanjing; China,2021,229-233
Vithanage, K., Wijesinghe, R., Xavier, A., Tissera, D., Jayasena, S., Fernando, S.,".Effect of Dialogue Structure and Memory on Language Emergence in a Multi-task Game.",13th International Conference on Computational Collective Intelligence, ICCCI 2021;,Virtual, Online; ;,2021,212-224
Wijesinghe, R., Vithanage, K., Tissera, D., Xavier, A., Fernando, S., Samarawickrama, J.,".Transferring Domain Knowledge with an Adviser in Continuous Tasks.",25th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2021;,Virtual, Online,2021,194-205
Dumindu Tissera, Rukshan Wijesinghe, Kasun Vithanage, Alex Xavier, Subha Fernando, Ranga Rodrigo,".End-to-end data-dependent routing in multi-path neural networks.",Neural Computing and Applications,36,2023
Tharuja Sandeepanie, Subha Fernando,".Identification and Tracking of Groups of People Using Object Detection and Object Tracking Techniques.",The International Journal on Advances in ICT for Emerging Regions,16/1,2023
Janani Kugarajeevan, Thanikasalam Kokul, Amirthalingam Ramanan, Subha Fernando,".Transformers in Single Object Tracking: An Experimental Survey.",IEEE Access,11,2023
S. Halgamuge N. Ranasinghe, A. Ramanan, S. Fernando, P.N. Hameed, D. Herath, T. Malepathirana, P. Suganthan, M. Niranjan,".Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications.",Journal of the National Science Foundation of Sri Lanka,50,2022
Ariyadasa, S., Fernando, S., Fernando, S.,".Combining Long-Term Recurrent Convolutional and Graph Convolutional Networks to Detect Phishing Sites Using URL and HTML.",IEEE Access,10,2022
Tennakoon, C., Fernando, S.,".Deep learning model for distributed denial of service (DDoS) detection.",International Journal of Advanced and Applied Sciences,9,2022
Tissera, D., Vithanage, K., Wijesinghe, R., Xavier, A., Jayasena, S., Fernando, S., Rodrigo, R.,".Neural mixture models with expectation maximization for end-to-end deep clustering 1.",Neurocomputing,505,2022
Subhash Ariyadasa, Shantha Fernando, Subha Fernando,".PhishRepo: A Seamless Collection of Phishing Data to Fill a Research Gap in the Phishing Domain.",International Journal of Advanced Computer Science and Applications,13/5,2022
Journal Publications
Fernando S., Yamada K. and Marasinghe A, New Threshold Updating Mechanism to Stabilize Activity of Hebbian Neuron in a Dynamic Stochastic ‘Multiple Synaptic’ Network, similar to Homeostatic Synaptic Plasticity Process, International Journal of Computer Applications, Vol.36, No. 3, Dec. 2011, pp.29-37.Fernando S.,Matsuzaki S., Marasinghe A., Agent based approach for homeostatic plasticity in neuronal activities, The Journal of Artificial Life and Robotics, Springer ,vol.14-2, Nov 2009, pp 262-265.
Fernando S., Cho Y.I, Nakamura Y, Matsuzaki, S., Marasinghe A, Modeling Learning On Dynamic Behavior Of Synapses, Journal of Medical Informatics and Technologies, ISSN 1642-6037, vol 13, Oct 2009,pp-175-180.
International Conferences
Fernando S., and Yamada, K . Synaptic redistribution and variability of the signal release probability at hebbian neurons in a dynamic stochastic neural network. in Proceedings of the 17thInternational Symposium on Artificial Life and Robotics, 19th-21st January 2012,Oitha, Japan, pp 618-621.Fernando, S. Yamada, K. and Marasinghe, A. Observed Stent’s anti-Hebbian Postulate on Dynamic Stochastic Computational Synapses. in Proceedings of International Joint Conference on Neural Networks, IEEE, 2011. San Jose, California, USA.30 July-6th August 2011, pp-1336-1343.
Fernando S., Koichi Y., Marasinghe A. Neuroscience inspired Architecture for Neural Computing, in Proceedings of the 13th International Conference on Humans and Computers, ACM .8th -10th December 2010, Aizu, Japan, pp 100-105.
Fernando S., Nakamura Y., Matsuzaki S., Marasinghe A. Revisited Hebbian Postulate under Homeostatic Plasticity, in Proceedings of the 15thInternational Symposium on Artificial Life and Robotics, 4th-6th February 2010,Oitha, Japan, pp 585-588.
Fernando S., Nakamura Y., Matsuzaki S., Marasinghe A. Synaptic Plasticity as Agent Communication, in the Proceedings of the International Multi-Conference on Biometrics and Kansei Engineering, IEEE, June 25-28, 2009, Cieszyn, Poland,pp 167-172.
Matsuzaki S., Fernando S.,Marasinghe A., Decision Making Model Supporting Emergency Medical Care, in the Proceedings of the International Multi-Conference on Biometrics and Kansei Engineering, IEEE, June 25-28, 2009, Cieszyn, Poland, pp 179-182.
Fernando S.,Matsuzaki S, Nakamura Y, Marasinghe A, Agent based approach for homeostatic plasticity in neuronal activities, in Proceedings of the 14thInternational Symposium on Artificial Life and Robotics, 5th – 7th February, 2009, Oitha ,Japan, pp 81-84.
Fernando S.,Matsuzaki S, Nakamura Y, Marasinghe A, Simulation of Neuronal Activity using Molecular Reaction , in Proceedings of the 11th International Conference on Humans and Computers, 20th -23rd November 2008, Nagaoka, Japan,pp 189-194.
Fernando S.,Karunananda A, Matsuzaki S, Marasinghe A, Ontological Modeling in Kansei Engineering, in Proceedings of the 2nd International Conference on Kansei Engineering & Effective Systems, 22nd – 24th November 2008, Nagaoka , Japan,pp 219-226.
Local Conferences
Fernando, K.S.D, Weerasooriya, U., Karunarathne, I., Ganegoda, U. In-class Tutorials and Group Work– A methodology to Develop Application, in Proceedings of the 4th SDC/ SLAIHEE Conference, March 2008, Colombo, Sri Lanka.Fernando, K.S.D, Karunananda, A.S, On Computing Mental Ontology, in Proceedings of the 4th Annual Sessions of Sri Lankan Association for Artificial Intelligence (SLAAI) , October 2007, Moratuwa, Sri Lanka.
Fernando S.,Matsuzaki S, Nakamura Y, Marasinghe, A. Simulation of Homeostatic Plasticity as Neuronal Reaction, at the Joint Symposium of Nagaoka University of Technology and Technical College of Nagaoka, 23-Jan 2009, Nagaoka, Japan, pp 153.
Fernando S., Nakamura Y., Matsuzaki S., A. Marasinghe, Hebbian Learning under Homeostatic Plasticity, The Shin-Etsu Chapter of the Institute of Electronics, Information and Communication Engineers. IEEE Shin-etsu session, October 3rd 2009, Nagano, Japan, pp 153
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