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, YOK Academic)

Authored Books:

1. U. Demirbaga, G.S. Aujla, A. Jindal, and O. Kalyon “Big Data Analytics: Theory, Techniques, Platforms, and Applications,” Springer, 7 May, 2024, 10.1007/978-3-031-55639-5 (Chapters).

Journal Articles (SCI-E Indexed): 

2025

• A. Singh, U. Demirbaga, G.S. Aujla, A. Jindal,  H. Sun, and J. Jiang, “Scalable and Reliable Data Framework for Sensor-enabled Virtual Power Plant Digital Twins,” IEEE Journal of Selected Areas in Sensors, 19 Feb 2025, 10.1109/JSAS.2025.3540956. [Q1]

• U. Demirbaga, “EcoCloud: Green Computing through Energy and Carbon Efficient Task Scheduling in Industrial IoT-Enabled Cloud Environments,” IEEE Internet of Things Journal, 28 Jan 2025, 10.1109/JIOT.2025.3537111. [Q1, IF: 8.2]

2024

• U. Demirbaga, “Advancing anomaly detection in cloud environments with cutting-edge generative AI for expert systems,” Expert Systems, 26 August 2024, 10.1111/exsy.13722. [Q2, IF: 3.0]

• U. Demirbaga, N. Kaur, G.S. Aujla, “Uncovering hidden and complex relations of pandemic dynamics using an AI driven system,” Nature - Scientific Reports, 04 July 2024, 10.1038/s41598-024-65845-0. [Q1, IF: 3.8]

• N. Kaur, G. Goyal, R. Garg, C. Tapasvi, U. Demirbaga, “Ensemble for evaluating diagnostic efficacy of non-invasive indices in predicting liver fibrosis in untreated hepatitis C virus population,” World Journal of Methodology, 20 Sep, 2024, 10.5662/wjm.v14.i3.91058. [IF: 3.0]

• H. Zhu, U. Demirbaga, G.S. Aujla, L. Shi, and P. Zhang, “Explainable Edge AI Framework for IoD-Assisted Aerial Surveillance in Extreme Scenarios,” IEEE Internet of Things Journal, Jun 07, 2024, 10.1109/JIOT.2024.3411528. [Q1, IF: 10.6]

2023

• U. Demirbaga, and G.S. 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] 

• U. Demirbaga, and G.S. 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] 

• W. Wen, U. Demirbaga, A. Singh, A. Jindal, R.S Batth, P. Zhang, and G.S. 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]

2022

• U. Demirbaga, and G.S. 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] 

2021

• 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] 

• 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]

2020

• 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]

2019

• 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:

2025

• U. Demirbaga, G. S. Aujla, H. Sun, "Energy-based Predictive Root Cause Analysis for Real-Time Anomaly Detection in Big Data Systems," IEEE International Conference on Communications 2025 (ICC 2025),  Montreal, Canada, June 2025, 10.1109/(In press).  

2024

• U. Demirbaga, O. Rana, A. Anjum, and G. S. Aujla, "AI-Powered Federated Task Scheduling and Self-Healing Framework in Dynamic Cloud Systems," The 17th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2024), Sharjah, UAE, December 2024, 10.1109/UCC63386.2024.00049.  

• U. Demirbaga, G. S. Aujla, M. Singh, A. Singh, H. Sun, and J. Camp, "An Intelligent Monitoring and Warning Framework in Drone Swarm Digital Twin Systems," IEEE International Conference on Communications (ICC): SAC Aerial Communications Track, Denver, CO, USA, June 2024, 10.1109/ICC51166.2024.10622736.  

• X. Liu, D. N. Jha, Y. Li, M. Barika, U. Demirbaga, and R. Ranjan, "AUTOMATE: Automatic Anomaly Detection and Root Cause Analysis Framework for Hadoop," IEEE International Conference on Meta Computing, Qingdao, China, May 2024, (In press).  

2019

• 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]

2018

• 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. 

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CORE Ranking:

A* - 6%

A - 10%

B - 30%

C - 43%

Projects

1. TUBITAK-ARDEB 1001 Scientific and Technological Research Projects Support Program 2024

   • Project number: 324K432

   • Project title: "An AI-based Educational Improvement: Design, Implementation and Evaluation of a Reading Accuracy and Reading Speed Application (YAZTEK)"

   • Project role: Researcher

   • Project partners: Istanbul 29 Mayıs University, Ibn Haldun University, Republic Of Türkiye Ministry Of National Education, National Defense University, Ozyegin University, Yildiz Technical University, and Istanbul Technical University. 

   • Duration: 32 months (2025-2028) 

2. TUBITAK-ARDEB 1005 National New Ideas and Products Research Support Program 2024

   • Project number: 124E778

   • Project title: "Upscale4Cloud: Design and Implementation of Autonomous Predictive Scaling and Event Management Mechanisms for Cloud Infrastructures"

   • Project role: Researcher

   • Project partners: Kocaeli University and Yildiz Technical University. 

   • Duration: 24 months (2025-2027) 

3. National Scientific Research Project: Inpatient-Prescribed Medications

   • Project number: 4002

   • Project title: "Inpatient-prescribed medicationsAnalysis and visualising big and complex data regarding patient exposure to prescribed medications"

   • Project role: Postdoctoral Research Associate

   • Project partners: Prof. Ewan Birney, European Molecular Biology Laboratory European Bioinformatics Institute (EMBL-EBI), Cambridge, UK

   • Duration: 24 months (2022-2024) 

Talks 

• Invited Speaker, Delivering the guest talk for "44 Years of Data Protection: The Age of Artificial Intelligence from a Privacy Perspective", "Foundations of Generative Artificial Intelligence: Technologies and Models", Bartin University & KVKK, TR, January 2025 ( Link ). 

• 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 )