テーヌワラ　ハンナディゲイ アキラ　サンジャヤ　シリビーラ

テーヌワラ　ハンナディゲイ アキラ　サンジャヤ　シリビーラ THENUWARA HANNADIGE Akila Sanjaya Siriweera

准教授

所属
コンピュータ理工学科/情報システム学部門
職位
准教授
E-Mail
asiriwe@u-aizu.ac.jp
Webサイト

教育

担当科目 - 大学
C Programming exercise
Artificial Intelligence
Algorithms and Data Structures
担当科目 - 大学院

研究

研究分野
情報ネットワーク
情報セキュリティ
知能情報学
知能ロボティクス
ウェブ情報学及びサービス情報学
略歴
Currently working as an Associate Professor at the University of Aizu (UoA), Japan, since April 2024.
Post-doctoral researcher at the UoA, Japan.
Received Ph.D. in Computer Science and Engineering from the UoA, Japan.
Received M.Sc. in Computer Science and Engineering from the UoA, Japan.
Received B.Sc. in Physical Science from the University of Peradeniya, Sri Lanka.
現在の研究課題
Federated Learning and AutoBDA driven Web 3.0 for Industry 4.0 and Society 5.0
研究内容キーワード
Web 3.0, Federated Learning, AutoBDA (automated big data analysis)
所属学会

主な著書?論文

[Peer-Reviewed Journals]

[1] Akila Siriweera and Keitaro Naruse, "QoS-Aware Federated Crosschain-Based Model-Driven Reference Architecture for IIoT Sensor Networks in Distributed Manufacturing," in IEEE Sensors Journal, vol. 23, no. 23, pp. 29630-29644, 1 Dec.1, 2023, doi: 10.1109/JSEN.2023.3325342.(Index: SCI-E, Impact factor: 4.3)

[2] Akila Siriweera (70%), Incheon Paik, and Huawei Huang, "Constraint-driven Complexity-aware Data Science Workflow for AutoBDA," in IEEE Transactions on Big Data, doi: 10.1109/TBDATA.2023.3256043. (Index: SCI-E, Impact factor: 7.5)

[3] Akila Siriweera (70%) and Keitaro Naruse, “Internet of Cross-chains: Model-driven Cross-chain as a Service Platform for the Internet of Everything in Smart City,” IEEE Consum. Electron. Mag., p. 1, 2021, doi: 10.1109/MCE.2021.3127429. (Index: SCI-E, Impact factor: 3.7)

[4] Akila Siriweera (70%) and Keitaro Naruse, “Survey on Cloud Robotics Architecture and Model-Driven Reference Architecture for Decentralized Multicloud Heterogeneous-Robotics Platform,” IEEE Access, vol. 9, pp. 40521–40539, 2021, doi: 10.1109/ACCESS.2021.3064192. (Index: SCI-E, Impact factor: 3.4)

[5] Akila Siriweera (70%) and Incheon Paik, “QoS-Aware Rule-Based Traffic-Efficient Multiobjective Service Selection in Big Data Space,” IEEE Access, vol. 6, pp. 48797–48814, 2018, doi: 10.1109/ACCESS.2018.2867633. (Index: SCI-E, Impact factor: 3.4)

[6] Akila Siriweera (70%), Incheon Paik, Banage T. G. S. Kumara, and C. K. Koswatta, “Architecture for intelligent big data analysis based on automatic service composition,” Int. J. Big Data, vol. 2, no. 2, pp. 1–14, 2015. (Index:)


[Peer-Reviewed Conference Proceedings]

[1] Incheon Paik and Akila Siriweera (5%), Automating Big Data Analysis Based on Deep Learning Generation by Automatic Service Composition, Proceedings of International Conference on Data Science Advance Analysis, Washington D.C, USA Oct., 2019. doi: 10.1109/DSAA.2019.00081 (CORE Rank Index: B)

[2] Akila Siriweera (80%) and Incheon Paik, Constraint-aware Dynamic Partial Order Plan Generation for Big Data Analytics based on Automatic Service Composition, Proceedings on IEEE-IEICE The Third International Conference on Consumer Electronics (ICCE) Asia 2018, Jeju, Korea, June, 2018. doi: (CORE Rank Index:)

[3] Akila Siriweera (80%), I. Paik, and B. T. G. S. Kumara, “Constraint-Driven Dynamic Workflow for Automation of Big Data Analytics Based on GraphPlan,” 2017 IEEE Int. Conf. Web Serv. (ICWS), pp. 357–364, 2017. doi: 10.1109/ICWS.2017.120 (CORE Rank Index: A)

[4] Akila Siriweera (80%), I. Paik, and B. T. G. S. Kumara, “QoS and Customizable Transaction-aware Selection for Big Data Analytics on Automatic Service Composition,” 2017 IEEE 14th International Conference on Services Computing (SCC), 2017, pp. 116–123. doi: 10.1109/SCC.2017.22 (CORE Rank Index: B)

[5] Banage Kumara, I. Paik, Akila Siriweera (5%), and K. R. C. Koswatte, “QoS Aware Service Clustering to Bootstrap the Web Service Selection,” in Proceedings - 2017 IEEE 14th International Conference on Services Computing (SCC) 2017. doi: 10.1109/SCC.2017.37 (CORE Rank Index: B)

[6] Incheon Paik, Yutaka Koshiba, and Akila Siriweera (10%), “Efficient Service Discovery Using Social Service Network Based on Big Data Infrastructure”, 11th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, Korea University, Seoul, Korea, September 18-20, 2017. doi: 10.1109/MCSoC.2017.9 (CORE Rank Index:)

[7] Akila Siriweera (70%), Incheon Paik, J. Zhang, and B. T. G. S. Kumara, “Big data analytic service discovery using social service network with domain ontology and workflow awareness,” in Proceedings - 2016 IEEE International Conference on Web Services (ICWS) 2016. doi: 10.1109/ICWS.2016.49 (CORE Rank Index: A)

[8] Akila Siriweera (80%), Incheon Paik, and B. T. G. S. Kumara, “QoS-Aware Traffic-Efficient Web Service Selection over BigData Space,” 2016 IEEE Int. Conf. Comput. Inf. Technol. (CIT), pp. 197–203, 2016. doi: 10.1109/CIT.2016.73 (CORE Rank Index: C)

[9] Akila Siriweera (80%) and Incheon Paik, “Service selection on bigdata-space based on heterogeneous QoS preferences,” in 2016 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia. doi: 10.1109/ICCE-Asia.2016.7804772 (CORE Rank Index:)

[10] Banage Kumara, Incheon Paik, Akila Siriweera (5%), and K. R. C. Koswatte, “Cluster-based web service recommendation,” in Proceedings - 2016 IEEE International Conference on Services Computing, (SCC). doi: 10.1109/SCC.2016.52 (CORE Rank Index:B)

[11] Hiruni Rupasingha, Incheon Paik, B. T. G. S. Kumara, and Akila Siriweera (5%), “Domain-aware web service clustering based on ontology generation by text mining,” in 7th IEEE Annual Information Technology, Electronics and Mobile Communication Conference, IEEE IEMCON 2016. doi: 10.1109/IEMCON.2016.7746301 (CORE Rank Index:)

[12] Akila Siriweera (70%), Incheon Paik, and B. T. G. S. Kumara, “Onotology-based service discovery for intelligent Big Data analytics,” in IEEE 7th International Conference on Awareness Science and Technology, iCAST 2015 - Proceedings, 2015. doi: 10.1109/ICAwST.2015.7314022 (CORE Rank Index:)

[13] Akila Siriweera (80%), Incheon Paik, B. T. G. S. Kumara, and K. R. C. Koswatta, “Intelligent Big Data Analysis Architecture Based on Automatic Service Composition,” in Proceedings - 2015 IEEE International Congress on Big Data, BigData Congress 2015. doi: 10.1109/BigDataCongress.2015.46 (CORE Rank Index:)

[14] Banage Kumara, Incheon Paik, J. Zhang, Akila Siriweera (5%), and K. R. C. Koswatte, “Ontology-Based Workflow Generation for Intelligent Big Data Analytics,” in Proceedings - 2015 IEEE International Conference on Web Services, ICWS 2015. doi: 10.1109/ICWS.2015.72 (CORE Rank Index: A)

[15] Chathurika Koswatte, Incheon Paik, B. T. G. S. Kumara, and Akila Siriweera (2%), “Meta-ontology for innovative product design with semantic TRIZ,” in Proceedings of 2015 International Conference on Electrical and Information Technologies, ICEIT 2015. doi: 10.1109/EITech.2015.7162935 (CORE Rank Index: )

最終更新日
2024.10.06