Research

Research Interest

My research interests lie in the general area of Big Data Analytics, Cloud Computing, Distributed Systems, and Machine Learning as well as their applications in sequential monitoring, debugging and multi-agent systems.

Publications   (Google Scholar , ResearchGate , Web of Science  , Orcid )

Journal Articles (SCI-E Indexed):

1. U. Demirbaga, and Gagangeet Singh Aujla, “RootPath: Root Cause and Critical Path Analysis to Ensure Sustainable and Resilient Consumer-Centric Big Data Processing under Fault Scenarios,” IEEE Transactions on Consumer Electronics, Nov 02, 2023, 10.1109/TCE.2023.3329545. [Q1, IF: 4.3] 

2. U. Demirbaga, and Gagangeet Singh Aujla, “Federated-ANN based Critical Path Analysis and Health Recommendations for MapReduce Workflows in Consumer Electronics Applications,” IEEE Transactions on Consumer Electronics, Sept 25, 2023, 10.1109/TCE.2023.3318813. [Q1, IF: 4.3] 

3. Wu Wen, Umit Demirbaga, Amritpal Singh, Anish Jindal, Ranbir Singh Batth, Peiying Zhang, and Gagangeet Singh Aujla, “Health Monitoring and Diagnosis for Geo-Distributed Edge Ecosystem in Smart City,” IEEE Internet of Things Journal, Feb 22, 2023, 10.1109/JIOT.2023.3247640. [Q1, IF: 10.6]

4. U. Demirbaga, and Gagangeet Singh Aujla, “MapChain: A Blockchain-based Verifiable Healthcare Service Management in IoT-based Big Data Ecosystem,” IEEE Transactions on Network and Service Management, Sept 06, 2022, 10.1109/TNSM.2022.3204851. [Q1, IF: 5.3] 

5. U. Demirbaga, “HTwitt: A Hadoop-based Platform for Analysis and Visualization of Streaming Twitter Data,” Neural Computing and Applications, Springer, Apr 14, 2021, 10.1007/s00521-021-06046-y. [Q1, Core B Ranking, IF: 5.606] 

6. U. Demirbaga, Z. Wen, A. Noor, K. Mitra, K. Alwasel, S. Garg, A. Zomaya, and R. Ranjan, “AutoDiagn: An Automated Real-time Diagnosis Framework for Big Data Systems,” IEEE Transactions on Computers, Apr 02, 2021, 10.1109/TC.2021.3070639. [Q1, Core A* ranking, IF: 3.7]

7. K. Alwasel, D. Jha, F. Habeeb, U. Demirbaga, O. Rana, T. Baker, S. Dustdar, M. Villari, P. James, E. Solaiman, and R. Ranjan, “IoTSim-Osmosis: A Framework for Modelling & Simulating IoT Applications Over an Edge-Cloud Continuum,” Journal of Systems Architecture, Elsevier, 28 Nov 2020, 10.1016/j.sysarc.2020.101956. [Q1, Core B ranking, IF: 4.5]

8. A. Noor, K. Mitra, E. Solaiman, A. Souza, D. N. Jha, U. Demirbaga, P. P. Jayaraman, N. Cacho, and R. Ranjan, “Cyber-Physical Application Monitoring Across Multiple Clouds,” Computers & Electrical Engineering, Elsevier, Volume 77, July 2019, Pages 314-324, 10.1016/j.compeleceng.2019.06.007. [Q1, Core B ranking, IF: 4.3]

Conference Papers:

1. U. Demirbaga, A. Noor, Z. Wen, P. James, K. Mitra and R. Ranjan, “SmartMonit: Real-time Big Data Monitoring System,” The 38th International Symposium on Reliable Distributed Systems (SRDS 2019) Lyon, France, OCT 1-4, 2019, 10.1109/SRDS47363.2019.00049. [Core A ranking]

2. U. Demirbaga and D. N. Jha, “Social Media Data Analysis using Mapreduce Programming Model and Training a Tweet Classifier using Apache Mahout,” in Proceedings - 8th IEEE International Symposium on Cloud and Services Computing, SC2 2018, 2018, 10.1109/SC2.2018.00024.  

Newsletters:

1. U. Demirbaga, D. N. Jha, N. Booth, T. Roberts, T. Shah, R. Ranjan, “A Batch and Real-time Data Analytics Framework for Healthcare Applications,” Newsletter, IEEE Technical Committee on Cybernetics for Cyber-Physical Systems, Volume 3, Issue 2, August 01, 2018. 

---------------------------------------------

CORE Ranking:

A* - 6%

A - 10%

B - 30%

C - 43%

Talks 

• Invited Speaker, Delivering the guest talk and demonstration for Data Science, "GeNIe Modeler for Bayesian Networks", Durham University, UK, Online, January 2023. 

• Keynote Speaker, International Conference on Recent Trends in Machine Learning and Computing Systems (RTMCS-2021), "AutoDiagn: An Automated Real-time Diagnosis Framework for Big Data Systems", Online, December 2021 ( Link ) . 

• Speaker, Academic Reading Club, Cambridge Spark Education Technology Company, "HTwitt: A Hadoop-based Platform for Analysis and Visualization of Streaming Twitter Data", Online, UK, May 2021. 

• Keynote Speaker, Symposium, Healthcare Services are reshaping with Artificial Intelligence Applications, "A Secure and Scalable Big Data Analytics in Healthcare", Speaker, Bartin University, Online, April 2021 ( Link ). 

Workshop/Seminar Attended

• Workshop, Google Cloud OnBoard Big Data Machine Learning- Training, London, June 2018 ( Link )

• Workshop, AI Day at Northumbria and TensorFlow and Cloud Machine Learning, Northumbria Uni., Newcastle Upon Tyne, April, 2018 ( Link )

• Seminar, Introduction to Learning and Teaching, Newcastle University, Newcastle Upon Tyne, 2018 ( Link )

• Workshop, Google Cloud OnBoard - Training, London, March 2018 ( Link ) 

Skills 

• Languages : Strong reading, writing and speaking competencies for English, Turkish (Native). 

• Coding : Java, Python, C#, Scripting, JavaScript, HTML, SQL. 

• Databases : InfluxDB, MongoDB, HBase, MySQL, Oracle. 

• Big Data Skills : Hadoop, HDFS, MapReduce, Flink, Spark, Kafka, Flume, Hive, Pig, Sqoop, HBase, Zookeeper, Mahout, YARN. 

• Cloud Services : Amazon Web Services, Microsoft Azure, Google Cloud, IBM Cloud. 

Received Courses

• Introduction to Big Data, University of California San Diego, 2018 ( Link )

• Big Data Modeling and Management Systems, University of California San Diego, 2018 ( Link )

• Big Data Integration and Processing, University of California San Diego, 2018 ( Link )

• Machine Learning with Big Data, University of California San Diego, 2018 ( Link )

• Graph Analytics for Big Data, University of California San Diego, 2018 ( Link )

• Linux Server Management and Security, University of Colorado, 2018 ( Link )

• Windows Server Management and Security, University of Colorado, 2018 ( Link )