Publications
Journal Publications
1. Y. Wei, C. -H. Lung, Samuel Ajila and R. P. Cabrera, "Pre-Connect
Handover Management for 5G Networks using Multi-Agent Deep Q-Networks," in
IEEE Access, vol. 13, October 16, 2025, pp 176176 – 176197, doi:
https://doi.org/10.1109/ACCESS.2025.3618587
2. Mutakabbir, Abdul, Chung-Horng Lung, Kshirasagar Naik, Marzia Zaman,
Samuel A. Ajila, Thambirajah Ravichandran, Richard
Purcell, and Srinivas Sampalli. 2025. "Spatio-Temporal Agnostic Sampling for Imbalanced
Multivariate Seasonal Time Series Data: A Study on Forest Fires" Sensors.
2025; 25(3):792. https://doi.org/10.3390/s25030792
3. Samuel A. Ajila, Chung-Horng Lung, Anurag Das, Analysis of Error-based Machine Learning Algorithms in Network Anomaly
Detection and Categorization, Annals of Telecommunications,77, 359–370
(2022). https://doi.org/10.1007/s12243-021-00836-0. 77(Online): pp 359 - 370.
4. Chung-Horng Lung, Yuqing
Qiu, Samuel Ajila, Pradeep Srivastava, Experimental Evaluation of LXC Container
Migration for Cloudlets Using Multipath TCP, Computer Networks, Vol. 164,
pp 1 – 14, December 9, 2019
5. Yang Cao, Chung-Horng Lung, Samuel Ajila, and Xiaolin
Li, Support Mechanisms for Cloud
Configuration Using XML Filtering Techniques: a Case Study in SaaS, Future
Generation Computer Systems (FGCS), Vol. 39, June 2019, pp 52-67
6. Ali Yadavar Nikravesh, Samuel A. Ajila, Chung-Horng Lung, Using genetic algorithms to find optimal
solution in a search space for a cloud predictive cost-driven decision maker,
Journal of Cloud Computing (2018), vol. 7, No.
20, Nov. 2018 https://doi.org/10.1186/s13677-018-0122-7
7. Xing Fan, Chung-Horng Lung, Samuel A. Ajila, Using Hybrid and Diversity-Based Adaptive Ensemble Method for Binary
Classification, International Journal of Intelligence Science (IJIS), Vol.8
No.3 July 2018
8. Ali Yadavar Nikravesh, Samuel A.
Ajila, Chung-Horng Lung, An Autonomic Prediction Suite for Cloud
Resource Provisioning, Journal of Cloud Computing (JCC), pp. 1 – 20, Vol.
6, No. 3, February 3 2017, DOI: 10.1186/s13677-017-0073-4. https://link.springer.com/article/10.1186/s13677-017-0073-4
9.
Ali Yadavar Nikravesh, Samuel
A. Ajila, Chung-Horng Lung, Wayne Ding, An
Experimental Investigation of Mobile Network Traffic Prediction Accuracy,
International Journal of Big Data, ISBN 2326-442X, Service Transactions on Big
Data, ISBN 2326-442X, Volume 3 Issue 1, pp 1-16, 2017
10. Man Si, Chung-Horng Lung, Samuel Ajila, Wayne Ding, An Investigation of Mobile Network Traffic Data and Apache Hadoop
Performance, International Journal of Big Data, ISBN 2326-442X, Service
Transactions on Big Data, ISBN 2326-442X, Volume 3 Issue 1, pp 17-31, 2017
11.
Samuel A. Ajila, Yoonsoon
Chang, Using Modified Floyd-Warshall Algorithm to Implement SPB IEEE 802.1aq Protocol
Simulator on NS-3, International Journal of Computer and Communication
Engineering (IJCCE), pp. 1 -17, Vol. 6, No. 1, January 2017.
17. Sajjad Mahmoud and Samuel A. Ajila, The Impact of Native Language on Use Case Modeling: A Controlled Experiment, Journal of Software (JSW), Vo; 8. No. 7, pp 1577-1585, Academy Publisher, 2013
Refereed Conference & Workshop Papers
1.
Ali Mohammadi Esfahani,
Nafiseh Kahani and Samuel A. Ajila, Understanding
Defects in Generated Codes by Language Models, 34th International
Conference on Collaborative Advances in Software and COmputiNg
(CASCON), Toronto, Canada, Nov. 11 -14, 2024
2.
Chibuike Ejikeme, Nafisek Kahani and Samuel Ajila, Optimizing DDoS Detection with Time Series Transformers, 34th
International Conference on Collaborative Advances in Software and COmputiNg (CASCON), Toronto, Canada, Nov. 11 -14, 2024
3.
Abdul Mutakabbir, Chung-Horng Lung and Samuel
A. Ajila, Kshirasagar Naik, Marzia
Zaman, Richard Purcell and Srinivas Sampalli, and Thambirajah Ravichandran, A Federated Learning Framework based on Spatio-Temporal
Agnostic Subsampling (STAS) for Forest Fire Prediction, The 48th IEEE
International Conference on Computers, Software, and Applications (COMPSAC
2024), Osaka, Japan, on July 2 – 4, 2024, pp 350 - 359
4.
Abdul Mutakabbir and Samuel A. Ajila, Explainable
Long-Term Forecasting of Air Pollution, 2023 IEEE International Conference
on Big Data (Big Data), Sorrento, Italy, Dec 15 – 18, 2023, pp 3794 - 3802
5.
Abdul Mutakabbir, Chung-Horng Lung, Samuel A.
Ajila, Marzia Zaman, Kshirasagar
Naik, Richard Purcell, Srinivas Sampalli, Forest Fire Prediction using Multi-Source
Deep Learning, EAI BDTA 2023 - 13th EAI International Conference on Big
Data Technologies and Applications, August 23-24, 2023, Edinburgh, Great
Britain
6.
Samuel A. Ajila, Have the Factors
Affecting Software New Product Development (S-NPD) Changed in the Age of Mobile
Apps and Agile Methods?,
In PICMET ’23 - Managing Technology, Engineering and Manufacturing for a
Sustainable World, Monterrey Mexico, July 23 – 27, 2023, pp 1 - 8
7.
Abdul Mutakabbir, Chung-Homg Lung, Samuel A.
Ajila, Marzia Zaman, Kshirasagar
Naik, Richard Purcell, and Srinivas Sampalli, Spatio-Temporal Agnostic Deep Learning Modeling of
Forest Fire Prediction Using Weather Data, IEEE-COMPSAC: Computer Software
and Applications Conference, Torino, Italy, June 26 – 30, 2023, pp 346 - 351
8.
Yao Wei, Chung-Horng Lung, Samuel Ajila, and Ricardo Paredes Cabrera, Deep Q-Networks Assisted Pre-connect
Handover Management for 5G Networks, IEEE Vehicular
Technology Conference (VTC2023-Spring), Florence, Italy June 20 - 23, 2023, pp
1 - 6
9.
Michael Fan, Omar Imran, Arka Singh, and Samuel
A. Ajila, Using CNN-LSTM Model for
Weather Forecasting, 2022 IEEE International Conference on Big Data (Big
Data), December 17-20, 2022, Osaka, Japan, pp 4110 – 4115
10.
Andrew Dybka, Dominic Kocjan,
and Samuel A. Ajila, A Semisupervised Approach to Predicting a Twitch Streamer
Growth based on the Game Streamed, 2022 IEEE International Conference on
Big Data (Big Data), December 17-20, 2022, Osaka, Japan, pp 4100 – 4109
11.
Abdul Mutakabbir, Chung-Horng Lung, and Samuel A. Ajila, Analysis of Airfare during Pandemic: A
Multi-Agent Based Modeling Approach, 2022 IEEE International Conference on
Big Data (Big Data), December 17-20, 2022, Osaka, Japan, pp 3811 – 3820
12.
Yao Wei, Ricardo Paredes Cabrera, Chung-Horng Lung, and Samuel Ajila, Pre-connect Handover Management for 5G
Networks, IEEE Future Networks World Forum (FNWF), Montreal, Quebec,
Canada, 12-14 October 2022
13. Samuel A. Ajila, Multilayer
Meta-Learning Approach to Forecasting Air Pollutants, Proceeding of IEEE
Conference on Information Reuse and Integration for Data Science,
(IEEE-IRI-20220, August 9 – 11, 2022, pp 69 - 74
14. Francoise Blanc, Azhar Syed,
Ali Mohammadi Esfahani, Sandeep Reddy Venna, and
Samuel A. Ajila, A Deep Learning
Sequential-based Model for Predicting Victories in Video Games, Proceeding
of IEEE Conference on Information Reuse and Integration for Data Science,
(IEEE-IRI-2022, August 9 – 11, 2022, pp 212 – 213.
15. Chandan Sai Chebrolu, Chung-Horng Lung, and Samuel
Ajila, Dynamic Packet Filtering Using
Machine Learning, IEEE Conference on Information Reuse and Integration for
Data Science, (IEEE-IRI-2022, August 9 – 11, 2022, pp 206 – 211.
16. Samuel Ajila and Karthik Dilliraj, Forecasting Air Pollution using a Modified
Compositional Learning Approach, 2021 IEEE International Conference on Big
Data (IEEE BigData 2021), International Workshop on Big Data Analytics for Sustainability (BDA4S
2021), Dec. 15 – 18, 2021, pp. 3992 – 4001
17. Azadeh Etedali, Chung-Horng Lung, and
Samuel Ajila, Comparative Analysis of
Genetic Algorithm and XML Filtering Technique for Multi-Tenant SaaS
Configuration Management, 2021 IEEE 12th Annual Information Technology,
Electronics and Mobile Communication Conference (IEMCON), Oct. 27 – 30, 2021,
pp 223 – 228
18.
Samuel
A. Ajila, Nidheesh Vijay, Evaluating Deep
Neural Nets and Optimized Hyperparameters Random Forest for Decision Support
Systems, 2021 IEEE 22nd International Conference on Information Reuse and
Integration for Data Science (IRI), August 10-12, 2021, pp 17 – 24
19.
Niyati R. Darji,
Samuel A. Ajila, Increasing Prediction Accuracy
for Human Activity Recognition Using Optimized Hyperparameters, 2020 IEEE
International Conference on Big Data, Dec 10-13, 2020, pp 2472-2481
20.
Anurag
Das, Samuel A. Ajila, Chung-Horng Lung, A Comprehensive Analysis of
Accuracies of Machine Learning Algorithms for Network Intrusion Detection, IFIP International Federation for Information
Processing 2020, Published by Springer Nature Switzerland AG 2020, S. Boumerdassi et al. (Eds.): MLN 2019, LNCS 12081, pp.
40–57,
21.
Bhumika
Patel, Zaheenabanu Somani,
Samuel A. Ajila, Chung-Horng Lung, Hybrid
Relabeled Model for Network Intrusion Detection, The 4th IEEE
International Conference on Smart Data (SmartData-2018), Halifax, Canada, July
30 – Aug. 03, 2018
22.
Xing
Fan, Chung-Horng Lung, Samuel A. Ajila, An Adaptive Diversity-Based Ensemble
Method for Binary Classification, 2017 IEEE 41th Annual International
Computers, Software & Applications Conference (COMPSAC’17), pp 822 – 827,
July 4 – 8, 2017, Torino, Italy
23.
Ali
Yadavar Nikravesh, Samuel
A. Ajila, Chung-Horng Lung, The
Impact of Database Layer on Auto-Scaling Decisions in a 3-Tier Web Services
Cloud Resource Provisioning, The 11th IEEE International COMPSAC Workshop
on Quality Oriented Reuse of Software (QUORS), pp 401 – 406, July 4-8, 2017,
Torino, Italy
24.
Azadeh
Etedali, Chung-Horng Lung, Samuel Ajila, Igor Veselinovic, Automated
Constraint-based Multi-tenant SaaS Configuration Support Using XML Filtering
Techniques, The 11th IEEE International COMPSAC Workshop on Quality
Oriented Reuse of Software (QUORS), pp 413 – 418, July 4-8, 2017, Torino, Italy
25.
Yuqing Qiu, Chung-Horng Lung, Samuel
Ajila, Pradeep Srivastava, LXC Container
Migration in Cloudlets under Multipath TCP, the 5th IEEE
International COMPSAC Workshop on Architecture, Design, Deployment and
Management of Networks and Applications (ADMNET 2017), pp 31 – 36, July 4 – 8,
2017, Torino, Italy
26. Samuel A.
Ajila, Have the Factors affecting
Software New Product Development (S-NPD) Changed in the Age of Mobile Apps and
Agile Methods? A Position Paper, Proceedings of PICMET '16 Conference
"Technology Management for Social Innovation", September 4 - 8, 2016,
pp. 2300 – 2307, Honolulu, Hawaii, USA
27. Ali Yadavar Nikravesh, Samuel A.
Ajila, Chung-Horng Lung, and Wayne Ding, Mobile
Network Traffic Prediction Using MLP, MLPWD, and SVM, 5th IEEE
International Congress on Big Data, pp 402 – 409, June 27 - July 2, 2016, San
Francisco, USA
28. Man Si,
Chung-Horng Lung, Samuel Ajila, and Wayne Ding, An Empirical Investigation of Mobile Network Traffic Data for Resource
Management, 5th IEEE International Congress on Big Data, pp 291 – 298, June
27 - July 2, 2016, San Francisco, USA
29. Wenjing Han,
Chung-Horng Lung, and Samuel A. Ajila, Empirical
Investigation of Code and Process Metrics for Defect Prediction, The 2nd
IEEE International Conference on Multimedia Big Data (IEEE BigMM
2016), April 20-22, Taipei, Taiwan
30. Yang Cao,
Chung-Horng Lung, and Samuel A. Ajila, Constraint-based
Multi-tenant SaaS Deployment Using Feature Modeling and XML Filtering
Techniques, IEEE-COMPSAC-2015 workshop: 12th International
Workshop on Software Cybernetics (IWSC-2015), pp 454 – 459, July 1 – 5, 2015,
Taichung, Taiwan.
31. Duo Liu,
Chung-Horng Lung, and Samuel A. Ajila, Adaptive
Clustering Techniques for Software Components and Architecture, IEEE-COMPSAC-2015
workshop: 12th International Workshop on Software Cybernetics (IWSC
– 2015), pp 460 – 465, July 1 – 5, 2015, Taichung, Taiwan.
32. Ali Yadavar
Nikravesh, Samuel A. Ajila, and Chung-Horng Lung, Evaluating the sensitivity of an Auto-Scaling Decisions in an
Environment with Different Workload Patterns, 2015 IEEE-COMPSAC The 39th
Annual International Computers, Software & Applications Conference, pp 415
– 420, July 1 – 5, 2015, Taichung, Taiwan
33. Fikirte
Teka, Chung-Horng Lung, and Samuel A. Ajila, Seamless Live Virtual Machine Migration with Cloudlets and Multipath
TCP, 2015 IEEE COMPSAC The 39th Annual International Computers, Software
& Applications Conference, pp 607 – 616, July 1 – 5, 2015, Taichung, Taiwan
34. Ali Yadavar Nikravesh,
Samuel A. Ajila, and Chung-Horng Lung, Towards
an Autonomic Auto-Scaling Prediction System for Cloud Resource Provisioning,
ICSE/SEAMS 2015 IEEE/ACM 10th International Symposium on Software
Engineering for Adaptive and Self-Managing Systems, pp 35 – 45, May 18 – 19,
2015, Firenze, Italy
35. Ali Yadavar
Nikravesh, Samuel A. Ajila, and Chung-Horng Lung, Measuring Prediction Sensitivity of a Cloud Auto-scaling System,
2014 IEEE COMPSACW 7th International workshop on Service Science and Systems,
pp 690 – 695, July 21 – 25, 2014, Vasteras, Sweden
36. Ali Yadavar
Nikravesh, Samuel A. Ajila, and Chung-Horng Lung, Cloud Resource Autoscaling System based on Hidden Markov Model (HMM),
2014 IEEE International Conference on Semantic Computing (IEEE-ICSC), June 16 –
18, 2014, pp 124 – 127, Newport Beach, CA USA
37. Abdulaziz
Alkhalid, C.-H. Lung, and S. Ajila, Towards
Efficient Software Deployment in the Cloud Using Requirements Decomposition,
Proc. of the Workshop on Requirements Engineering, in collaboration with the 5th
IEEE CloudCom, Dec. 2013, pp. 100–105.
40. Sajjad Mahmood and
Samuel A. Ajila, Software Requirements
Elicitation – A Controlled Experiment to Measure the Impact of a Native Natural
Language, COMPSAC 2013 - The 37th Annual International
Computer Software & Applications Conference, pp 437-442, Kyoto, Japan July
22-26, 2013
41. Chung-Horng
Lung, Abdulaziz Alkhalid, Duo Liu, Samuel Ajila, Software
Architecture Decomposition Using Clustering Techniques, COMPSAC 2013 - The 37th Annual International
Computer Software & Applications Conference, pp 806-811, Kyoto, Japan July
22-26, 2013
42. Yoonsoon Chang and
Samuel A. Ajila, Design and
Implementation of Experimental SPB Network Simulator on NS-3, The 26th
Canadian Conference on Electrical and Computer Engineering – IEEE Canada (CCECE
2013), May 5 – 8, 2013, Regina, SK, Canada
43. Akindele A. Bankole
and Samuel Ajila, Predicting Cloud
Resource Provisioning using Machine Learning Techniques, The 26th Canadian
Conference on Electrical and Computer Engineering – IEEE Canada (CCECE 2013),
May 5 – 8, 2013, Regina, SK, Canada
44.
Abdulaziz Alkhalid, Chung-Horng
Lung and Samuel A. Ajila, Software
Architecture Decomposition Using Adaptive K-Nearest Neighbor Algorithm, The
26th Canadian Conference on Electrical and Computer Engineering – IEEE Canada
(CCECE 2013), May 5 – 8, 2013, Regina, SK, Canada
45.
Akindele A. Bankole and Samuel A.
Ajila, Cloud Client Prediction
Models for Cloud Resource Provisioning in a Multitier Web Application
Environment, The 7th IEEE International Symposium on Service-Oriented
System Engineering (IEEESOSE 2013), pp 156-161, San Francisco Bay, USA March 25
– 28, 2013
46.
Samuel A. Ajila, Software Product Line Market Repositioning –
The Power of Functional Groups, In Proceedings of PICMET '12 -Technology
Management for Emerging Technologies, pp 1640 – 1650, July 29 - August 2, 2012,
Vancouver, BC, Canada
47. Samuel A. Ajila, Angad. S. Gakhar, Chung H. Lung, and Marzia Zaman, Reusing and Converting Code Clones to Aspects – An Algorithmic Approach, In 2012 IEEE International Conference on Information Reuse and Integration (IEEE IRI-2012) pp 9 -16, August 8-10, 2012, Las Vegas, NV, USA.
Old Notable Publications
1.
Samuel
A. Ajila, Software Maintenance: An Approach to impact Analysis of Objects
Change, International Journal of Software Practice and Experience,
Vol. 25(10) , 1995, pp. 1155-1181 pdf
2.
Samuel
A. Ajila, Software Process Assistance: Management of objects modifications
in an Integrated Software Engineering Environment, Nigerian Journal of
Science, Vol. 28(3), 1994, pp 249 – 264
3.
Samuel
A. Ajila, Jean Claude DERNIAME, and Henri BASSON (1995) - A Logic-Based
Approach to Impact Analysis of Objects Change, In Practical Application of Prolog PAP'95, pp 1-23, Paris, France.
4.
Samuel
A. Ajila, Henri BASSON, and Jean Claude DERNIAME, WHAT-IF: A function to
estimate the impacts of potential changes in a Software, In Software Quality
Management II: Building Quality into Software, (SQM 1994), Vol. 2, pp. 379-394,
Edinburgh, Scotland.