Tomasz Wiktorski

Adjunct Professor

Tomasz Wiktorski

Contact

Telephone: 5183 2061

Email: tomasz.wiktorski@uis.no

Room: KE E-446

Department

Faculty of Science and Technology

Department of Electrical Engineering and Computer Science

About me

Study Program Manager for MSc and PhD programs in Computer Science and Data Science.
My research focuses on analysis of large time series data combining conventional time series methods and deep learning approaches with data-intensive techniques from other domains. Primary application areas include:

  • biomedical data analysis (in particular: sport watches and other personal monitoring devices);
  • oil and gas drilling process automation and optimization;
  • prediction and optimization in energy and petroleum systems;
  • monitoring and optimization of data centers and cloud infrastructures;
  • other large time series data (e.g. sensor networks, smart city).


Complimentary research interests include development and evaluation of data science and other types of data-centered curricula and programs. Primarily in higher education, but also in early-stage schooling setting.
Thought courses:

  • DAT500 - Data-intensive Systems 2013-now
  • DAT220 - Databases 2017-2018
  • MID270 - Integrated Operations and Semantic Web Technologies 2011-2012

Publications

Vitenskapelige publikasjoner

Liang Zhang; Felix James Cardano Pacis; Sergey Alyaev; Tomasz Wiktorski (2025) Cloud-free question answering from internal knowledge bases: Building an AI for drilling applications. I: First Break. ISSN 0263-5046. Volum 43. s.43-49. DOI: 10.3997/1365-2397.fb2025012

Felix James Cardano Pacis; Tomasz Wiktorski; Sergey Alyaev (2025) Applied Transfer Learning in Drilling Engineering. Universitetet i Stavanger. ISBN 9788284393513.

Jakob Svane; Tomasz Wiktorski; Trygve Christian Eftestøl; Stein Ørn (2024) Alterations in the autonomic and haemodynamic response to prolonged high-intensity endurance exercise in individuals with coronary artery calcification. I: Experimental Physiology. ISSN 0958-0670. Volum 110. s.454-463. DOI: 10.1113/EP092201

Jakob Svane; Tomasz Wiktorski; Trygve Christian Eftestøl; Stein Ørn (2024) Machine Learning Methods For Classification of Individuals With Coronary Artery Calcification. I: IEEE International Symposium on Computer-Based Medical Systems. Online ISSN 2372-9198. DOI: 10.1109/CBMS61543.2024.00013

Felix James Cardano Pacis; Sergey Alyaev; Gilles Pelfrene; Tomasz Wiktorski (2024) Enhancing information retrieval in the drilling domain : Zero-shot learning with large language models for question-answering. I: (SPE) Society of Petroleum Engineers, IADC/SPE International Drilling Conference and Exhibition: March 5–7, 2024, Galveston, Texas, USA. Society of Petroleum Engineers. ISBN 9781959025108. DOI: 10.2118/217671-MS

Magnus Bjørkavoll-Bergseth; Christine Bjørkvik Erevik; Øyunn Kleiven; Tomasz Wiktorski; Bjørn Henrik Auestad; Øyvind Skadberg; Kristin Moberg Aakre; Thijs M. H. Eijsvogels; Stein Ørn (2024) The relationship between workload and exercise-induced cardiac troponin elevations is influenced by non-obstructive coronary atherosclerosis. I: Scandinavian Journal of Medicine & Science in Sports. ISSN 0905-7188. Volum 34. DOI: 10.1111/sms.14667

Helga Maria Ploog; Tomasz Wiktorski (2024) The intentions of the designers of digital educational tools in early childhood education. I: International Journal of Child-Computer Interaction. ISSN 2212-8689. Volum 40. DOI: 10.1016/j.ijcci.2024.100653

Felix James Cardano Pacis; Tomasz Wiktorski; Adrian Ambrus; Sergey Alyaev (2023) Exploration of strategies to improve continual learning from irregular sequential drilling data. I: . ASME, ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering: Volume 9: Offshore Geotechnics; Petroleum Technology. The American Society of Mechanical Engineers (ASME). ISBN 9780791886915. DOI: 10.1115/OMAE2023-102300

Jakob Svane; Tomasz Wiktorski; Stein Ørn; Trygve Christian Eftestøl (2023) Optimizing support vector machines and autoregressive integrated moving average methods for heart rate variability data correction. I: MethodsX. Online ISSN 2215-0161. Volum 11. DOI: 10.1016/j.mex.2023.102381

Jakob Svane; Tomasz Wiktorski; Stein Ørn; Trygve Christian Eftestøl (2023) Recurrent Neural Networks for Artifact Correction in HRV Data During Physical Exercise. I: Nordic Machine Intelligence (NMI). Online ISSN 2703-9196. Volum 3. s.1-12. DOI: 10.5617/nmi.10140

Aleksandra Królak; Tomasz Wiktorski; Aleksandra Å»mudziÅ„ska (2023) Automatic analysis of X (Twitter) data for supporting depression diagnosis. I: Human Technology. Online ISSN 1795-6889. Volum 19. s.370-399. DOI: 10.14254/1795-6889.2023.19-3.4

Felix James Cardano Pacis; Adrian Ambrus; Sergey Alyaev; Rasool Khosravanian; Tron Golder Kristiansen; Tomasz Wiktorski (2023) Improving predictive models for rate of penetration in real drilling operations through transfer learning. I: Journal of Computational Science. ISSN 1877-7503. Volum 72. DOI: 10.1016/j.jocs.2023.102100

Adrian Ambrus; Sergey Alyaev; Nazanin Jahani; Felix James Cardano Pacis; Tomasz Wiktorski (2022) Rate of Penetration Prediction Using Quantile Regression Deep Neural Networks. I: Sören Ehlers, Proceedings of ASME 2022 41st International Conference on Ocean, Offshore & Arctic Engineering Volume 10 : Petroleum technology. The American Society of Mechanical Engineers (ASME). ISBN 9780791885956. DOI: 10.1115/OMAE2022-79046

Jie Cao; Samiul Ehsan Chowdhury; Tomasz Wiktorski; Dan Sui (2022) Well path design using Q-learning algorithms and Bezier curves with obstacles avoidance. I: Sören Ehlers, Proceedings of ASME 2022 41st International Conference on Ocean, Offshore & Arctic Engineering Volume 10 : Petroleum technology. The American Society of Mechanical Engineers (ASME). ISBN 9780791885956. DOI: 10.1115/OMAE2022-78427

Hasan Asyari Arief; Peter Thomas; Tomasz Wiktorski (2022) Better Modeling Out-of-Distribution Regression on Distributed Acoustic Sensor Data Using Anchored Hidden State Mixup. I: IEEE Transactions on Industrial Informatics. ISSN 1551-3203. Volum 19. s.296-305. DOI: 10.1109/TII.2022.3154783

Felix James Cardano Pacis; Sergey Alyaev; Adrian Ambrus; Tomasz Wiktorski (2022) Transfer Learning Approach to Prediction of Rate of Penetration in Drilling. I: Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. Volum 13351. s.358-371. DOI: 10.1007/978-3-031-08754-7_44

Hasan Asyari Arief; Tomasz Wiktorski; Peter Thomas (2021) A Survey on Distributed Fibre Optic Sensor Data Modelling Techniques and Machine Learning Algorithms for Multiphase Fluid Flow Estimation. I: Sensors. Online ISSN 1424-8220. Volum 21. DOI: 10.3390/s21082801

Andrzej Tadeusz Tunkiel; Dan Sui; Tomasz Wiktorski (2021) Automated iterative gap filling method for drilling logs and other data series. I: Digital Collection ASME, ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering Volume 10: Petroleum Technology. The American Society of Mechanical Engineers (ASME). ISBN 9780791885208. DOI: 10.1115/OMAE2021-61927

Magnus Bjørkavoll-Bergseth; Christine Bjørkvik Erevik; Øyunn Kleiven; Thijs M. H. Eijsvogels; Øyvind Skadberg; Vidar Frøysa; Tomasz Wiktorski; Bjørn Henrik Auestad; Thor Edvardsen; Kristin Moberg Aakre; Stein Ørn (2021) Determinants of interindividual variation in exercise-induced cardiac troponin I levels. I: Journal of the American Heart Association (JAHA). Online ISSN 2047-9980. Volum 10. s.1-14. DOI: 10.1161/JAHA.121.021710

Yuri Demchenko; Cuadrado Gallego Juan Jose; Steve Brewer; Tomasz Wiktorski (2021) EDISON Data Science Framework (EDSF): Addressing Demand for Data Science and Analytics Competences for the Data Driven Digital Economy. I: IEEE Global Engineering Education Conference, EDUCON. ISSN 2165-9559. s.1682-1687. DOI: 10.1109/EDUCON46332.2021.9453997

Andrzej Tadeusz Tunkiel; Dan Sui; Tomasz Wiktorski (2021) Impact of data pre-processing techniques on recurrent neural network performance in context of real-time drilling logs in an automated prediction framework. I: Journal of Petroleum Science and Engineering. ISSN 0920-4105. Volum 2008 part E. DOI: 10.1016/j.petrol.2021.109760

Andrzej Tadeusz Tunkiel; Dan Sui; Tomasz Wiktorski (2020) Reference Dataset for Rate of Penetration Benchmarking. I: Journal of Petroleum Science and Engineering. ISSN 0920-4105. Volum 196. DOI: 10.1016/j.petrol.2020.108069

Aleksandra Krolak; Tomasz Wiktorski; Magnus Bjørkavoll-Bergseth; Stein Ørn (2020) Artifact Correction in Short-Term HRV during Strenuous Physical Exercise. I: Sensors. Online ISSN 1424-8220. Volum 20. DOI: 10.3390/s20216372

Tomasz Wiktorski; Aleksandra Królak; Karolina RosiÅ„ska; Pawel Strumillo; Jerry Chun-Wei Lin (2020) Visualization of generic utility of sequential patterns. I: IEEE Access. Online ISSN 2169-3536. Volum 8. s.78004-78014. DOI: 10.1109/ACCESS.2020.2989165

Andrzej Tadeusz Tunkiel; Dan Sui; Tomasz Wiktorski (2020) Training-while-drilling approach to inclination prediction in directional drilling utilizing recurrent neural networks. I: Journal of Petroleum Science and Engineering. ISSN 0920-4105. Volum 196. DOI: 10.1016/j.petrol.2020.108128

Yuri Demchenko; Luca Comminiello; Tomasz Wiktorski; Juan Cuadrado-Gallego; Oleg Chertov; Ernestina Menasalvas; Ana Moreno; Nik Swoboda; Steve Brewer (2020) Use cases and applications. I: Yuri Demchenko; Juan Cuadrado-Gallego, The Data Science Framework A View from the EDISON Project. Springer Nature. ISBN 9783030510251. s.135-194. DOI: 10.1007/978-3-030-51023-7_6

Andrzej Tadeusz Tunkiel; Tomasz Wiktorski; Dan Sui (2020) Drilling Dataset Exploration, Processing and Interpretation Using Volve Field Data. I: NN NN, ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering - Volume 11: Petroleum Technology. The American Society of Mechanical Engineers (ASME). ISBN 9780791884430. DOI: 10.1115/OMAE2020-18151

Tomasz Wiktorski; Yuri Demchenko; Juan Cuadrado-Gallego (2020) Data science curriculum. I: Yuri Demchenko; Juan Cuadrado-Gallego, The Data Science Framework A View from the EDISON Project. Springer Nature. ISBN 9783030510251. s.75-108. DOI: 10.1007/978-3-030-51023-7_4

Andrzej Tadeusz Tunkiel; Tomasz Wiktorski; Dan Sui (2020) Continuous Drilling Sensor Data Reconstruction and Prediction via Recurrent Neural Networks. I: NN NN, ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering - Volume 1: Offshore Technology. The American Society of Mechanical Engineers (ASME). ISBN 9780791884317. DOI: 10.1115/OMAE2020-18154

Andrzej Tadeusz Tunkiel; Dan Sui; Tomasz Wiktorski (2020) Data-driven sensitivity analysis of complex machine learning models: A case study of directional drilling. I: Journal of Petroleum Science and Engineering. ISSN 0920-4105. Volum 195. DOI: 10.1016/j.petrol.2020.107630

Tomasz Wiktorski; Magnus Bjørkavoll-Bergseth; Stein Ørn (2020) Methods for preprocessing time and distance series data from personal monitoring devices. I: MethodsX. Online ISSN 2215-0161. Volum 7. DOI: 10.1016/j.mex.2020.100959

Tomasz Wiktorski; Yuri Demchenko; Oleg Chertov (2019) Data Science Model Curriculum Implementation for Various Types of Big Data Infrastructure Courses. I: Lisa O'Conner, The Proceedings of IEEE 15th Conference on eScience 2019. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781728124513. DOI: 10.1109/eScience.2019.00074

Yuri Demchenko; Tomasz Wiktorski; Cuadrado Gallego Juan Jose; Steve Brewer (2019) EDISON Data Science Framework (EDSF) Extension to Address Transversal Skills required by Emerging Industry 4.0 Transformation. I: Lisa O'Conner, The Proceedings of IEEE 15th Conference on eScience 2019. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781728124513. DOI: 10.1109/eScience.2019.00076

Suranga Chaminda Hemba Geekiyanage; Erik Andreas Løken; Dan Sui; Tomasz Wiktorski (2019) Architectures and algorithms for a smart drilling robot. I: NN NN, ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering (OMAE2019): Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology. The American Society of Mechanical Engineers (ASME). ISBN 9780791858875. DOI: 10.1115/OMAE2019-95486

Adam SZ Belloum; Spiros Koulouzis; Tomasz Wiktorski; Andrea Manieri (2019) Bridging the demand and the offer in data science. I: Concurrency and Computation: Practice and Experience. ISSN 1532-0626. Volum 31. s.1-14. DOI: 10.1002/cpe.5200

Tomasz Wiktorski; Jerry Chun-Wei Lin (2019) Approximate approach to finding generic utility of sequential patterns. I: IEEE International Conference on Data Mining Workshops, ICDMW. ISSN 2375-9232. Volum 2019-November. s.1029-1034. DOI: 10.1109/ICDMW.2019.00148

Jimmy Ming-Tai Wu; Jerry Chun-Wei Lin; Philippe Fournier-Viger; Tomasz Wiktorski; Tzung-Pei Hong; Matin Pirouz (2019) A GA-based Framework for Mining High Fuzzy Utility Itemsets. I: . IEEE, 2019 IEEE International Conference on Big Data (Big Data). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781728108582. s.2708-2715. DOI: 10.1109/BigData47090.2019.9006171

Dominika Dlugosz; Trygve Christian Eftestøl; Aleksandra Krolak; Tomasz Wiktorski; Stein Ørn (2018) The North Sea bicycle race ECG project: Time-domain analysis. I: Journal of Automation, Mobile Robotics & Intelligent Systems. ISSN 1897-8649. Volum 12. s.23-32. DOI: 10.14313/JAMRIS_1-2018/3

Dominika DÅ‚ugosz; Aleksandra Krolak; Trygve Christian Eftestøl; Stein Ørn; Tomasz Wiktorski; Kay Raymond Oskal; Martin Nygård (2018) ECG Signal Analysis for Troponin Level Assessment and Coronary Artery Disease Detection: the NEEDED Study 2014. I: Annals of Computer Science and Information Systems. Online ISSN 2300-5963. Volum 15. s.1065-1068. DOI: 10.15439/2018F247

Tomasz Wiktorski (2018) Challenges in Causal Inference from Personal Monitoring Devices. I: Annals of Computer Science and Information Systems. Online ISSN 2300-5963. Volum 16. s.99-102. DOI: 10.15439/2018F378

Bikash Agrawal; Tomasz Wiktorski; Rong Chunming (2017) Adaptive real-time anomaly detection in cloud infrastructures. I: Concurrency and Computation: Practice and Experience. ISSN 1532-0626. Volum 29. DOI: 10.1002/cpe.4193

Tomasz Wiktorski; Yuri Demchenko; Adam Belloum (2017) Model curricula for data science EDISON data science framework. I: Thomas J. Hacker; Baochun Li, Proceedings of the 9th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2017). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781538606926. DOI: 10.1109/CloudCom.2017.60

Yuri Demchenko; Adam Belloum; Cees de Laat; Charles Loomis; Tomasz Wiktorski; Erwin Spekschoor (2017) Customisable data science educational environment: From competences management and curriculum design to virtual labs on-demand. I: Thomas J. Hacker; Baochun Li, Proceedings of the 9th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2017). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781538606926. DOI: 10.1109/CloudCom.2017.59

Dominika DÅ‚ugosz; Trygve Christian Eftestøl; Stein Ørn; Tomasz Wiktorski; Aleksandra Krolak (2017) The North Sea Bicycle Race ECG Project: Time-Domain Analysis. I: Annals of Computer Science and Information Systems. Online ISSN 2300-5963. Volum 11. s.1353-1356. DOI: 10.15439/2017F303

Bikash Agrawal; Raymond Hansen; Rong Chunming; Tomasz Wiktorski (2016) SD-HDFS: Secure Deletion in Hadoop Distributed File System. I: Calton Pu; Feoffrey Fox; Ernesto Damiani, Proceedings 2016 IEEE International Congress on Big Data, 27 June - 2 July 2016 San Francisco, California, USA. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781509026227. s.181-189. DOI: 10.1109/BigDataCongress.2016.30

Bikash Agrawal; Antorweep Chakravorty; Tomasz Wiktorski; Rong Chunming (2016) Enrichment of Machine Learning based Activity Classification in Smart Homes using Ensemble Learning. I: Rajkumar Buyya, Proceedings of the 9th International Conference on Utility and Cloud Computing. Association for Computing Machinery (ACM). ISBN 9781450346160. s.196-201. DOI: 10.1145/2996890.3007861

Bikash Agrawal; Tomasz Wiktorski; Rong Chunming (2016) Adaptive Anomaly Detection in Cloud Using Robust and Scalable Principal Component Analysis. I: Xianghan Zheng; Changhai Yang, Proceedings of 2016 15th International Symposium on Parallel and Distributed Computing. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781509041527. DOI: 10.1109/ispdc.2016.22

Yuri Demchenko; Adam Belloum; Wouter Los; Tomasz Wiktorski; Andrea Manieri; Steve Brewer; Holger Brocks; Jana Becker; Dominic Heutelbeck; Matthias Hemmje (2016) EDISON Data Science Framework: A Foundation for Building Data Science Profession For Research and Industry. I: Grégoire Danoy; Sathish Gopalakrishnan, Proceedings of 2016 IEEE International Conference on Cloud Computing Technology and Science (CloudCom). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781509014453. s.620-626. DOI: 10.1109/CloudCom.2016.0107

Tomasz Wiktorski; Anousheh Shenavari Shirazi; Yuri Demchenko; Adam Belloum (2016) Quantitative and Qualitative Analysis of Current Data Science Programs from Perspective of Data Science Competence Groups and Framework. I: Grégoire Danoy; Sathish Gopalakrishnan, Proceedings of 2016 IEEE International Conference on Cloud Computing Technology and Science (CloudCom). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781509014453. s.633-638. DOI: 10.1109/CloudCom.2016.0109

Bikash Agrawal; Tomasz Wiktorski; Rong Chunming (2015) Analyzing and Predicting Failure in Hadoop Clusters Using Distributed Hidden Markov Model. I: Weizhong Qiang; Xianghan Zheng; Ching-Hsien Hsu, Cloud Computing and Big Data. Springer Publishing Company. ISBN 9783319284293. s.232-246. DOI: 10.1007/978-3-319-28430-9_18

Tomasz Wiktorski; Thomas J. Hacker (2015) Problem-based learning approach to a course in data intensive systems. I: IEEE International Conference on Cloud Computing Technology and Science (CloudCom). ISSN 2330-2194. Volum 2015-February. s.942-948. DOI: 10.1109/CloudCom.2014.133

Andrea Manieri; Steve Brewer; Ruben Riestra; Yuri Demchenko; Matthias Hemmje; Tomasz Wiktorski; Tiziana Ferrari; Jeremy Frey (2015) Data Science Professional Uncovered: How the EDISON Project will Contribute to a Widely Accepted Profile for Data Scientists. I: Sathish Gopalakrishnan; Bingsheng He, 2015 IEEE 7th International Conference on Cloud Computing Technology and Science, Vancouver, Canada, 30. November-3. December, 2015. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781467395601. s.588-593. DOI: 10.1109/CloudCom.2015.57

Tomasz Wiktorski; Thomas Hacker; Raymond Hansen; Gregory Rodgers (2015) Experience with Problem-based Learning in a Hybrid Classroom. I: Sathish Gopalakrishnan; Bingsheng He, 2015 IEEE 7th International Conference on Cloud Computing Technology and Science, Vancouver, Canada, 30. November-3. December, 2015. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781467395601. s.575-581. DOI: 10.1109/CloudCom.2015.70

Bikash Agrawal; Antorweep Chakravorty; Chunming Rong; Tomasz Wiktor Wlodarczyk (2015) R2Time: A framework to analyse open TSDB Time-series data in HBase. I: IEEE International Conference on Cloud Computing Technology and Science (CloudCom). ISSN 2330-2194. Volum 2015-February. s.970-975. DOI: 10.1109/CloudCom.2014.84

Lars Ropeid Selsaas; Bikash Agrawal; Rong Chunming; Tomasz Wiktorski (2015) AFFM: Auto feature engineering in field-aware factorization machines for predictive analytics. I: Lars Ropeid Selsaas; Bikash Agrawal; Rong Chunming; Tomasz Wiktorski, Data Mining Workshop (ICDMW), 2015 IEEE International Conference on. IEEE Press. ISBN 9781467384926. s.1705-1709. DOI: 10.1109/ICDMW.2015.245

Tomasz Wiktor Wlodarczyk; Thomas J. Hacker (2014) Problem-based Learning Approach to a Course in Data Intensive Systems. I: Wentong Cai, CloudCom 2014, IEEE 6th International Conference on Cloud Computing Technology and Science, Singapore, 15-18. December, 2014. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781479940936. s.942-948. DOI: 10.1109/CloudCom.2014.133

Bikash Agrawal; Antorweep Chakravorty; Chunming Rong; Tomasz Wiktor Wlodarczyk (2014) R2Time: a framework to analyse OpenTSDB timeseries data in HBase. I: Wentong Cai, CloudCom 2014, IEEE 6th International Conference on Cloud Computing Technology and Science, Singapore, 15-18. December, 2014. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781479940936. s.970-975. DOI: 10.1109/CloudCom.2014.84

Tomasz Wiktor Wlodarczyk (2014) Performance of Data Extraction from OpenTSDB. I: Ignacio Rojas Ruiz; Gonzalo Ruiz Garcia, Proceedings ITISE 2014 International work-conference On Time Series. University Granada. ISBN 9788415814979. s.1170-1181.

Antorweep Chakravorty; Tomasz Wiktor Wlodarczyk; Chunming Rong (2014) A Scalable K-Anonymization Solution for Preserving Privacy in an Aging-in-Place Welfare Intercloud. I: Partha Kanuparthy, Proceedings of IEEE International Conference on Cloud Engineering (IC2E 2014); 10–14 March 2014, Boston, Massachusetts. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781479937660. s.424-431. DOI: 10.1109/IC2E.2014.43

Antorweep Chakravorty; Chunming Rong; Pål Evensen; Tomasz Wiktor Wlodarczyk (2014) A Distributed Gaussian-Means Clustering Algorithm for Forecasting Domestic Energy Usage. I: Jiannong Cao, Proceedings of 2014 International Conference on Smart Computing (SMARTCOMP 2014); 3-5 November 2014 Hong Kong, China. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781479957118. s.229-236. DOI: 10.1109/smartcomp.2014.7043863

Tomasz Wiktor Wlodarczyk; Thomas Hacker (2014) Current trends in predictive analytics of big data. I: International Journal of Big Data Intelligence. ISSN 2053-1389. DOI: 10.1504/IJBDI.2014.066326

Aryan TaheriMonfared; Tomasz Wiktor Wlodarczyk; Chunming Rong (2013) Real-Time Handling of Network Monitoring Data Using a Data-Intensive Framework. I: IEEE Society, 2013 IEEE International Conference on Cloud Computing Technology and Science. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9780769550954. s.258-265. DOI: 10.1109/CloudCom.2013.41

Antorweep Chakravorty; Tomasz Wiktor Wlodarczyk; Chunming Rong (2013) Safer@Home Analytics: a Big Data Analytical Solution for Smart Homes. I: IEEE Society, 2013 IEEE International Conference on Cloud Computing Technology and Science. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9780769550954. s.705-710. DOI: 10.1109/CloudCom.2013.129

Ming Hao; Tomasz Wiktor Wlodarczyk; Chunming Rong (2013) Performance Analysis and Optimization of Map Only Left Outer Join. I: Leonard Barolli, IEEE 27th International Conference on Advanced Information Networking and Applications Workshops. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781467362399. s.625-631. DOI: 10.1109/WAINA.2013.74

Tomasz Wiktor Wlodarczyk; Chunming Rong (2013) Evidence for Accountable Cloud Computing Services. I: IFIP WG 11.11 on Trust Management. ISSN 2079-2247.

Tomasz Wiktor Wlodarczyk (2013) Towards Model of Accountability for Cloud Computing Services. I: IFIP WG 11.11 on Trust Management. ISSN 2079-2247.

Antorweep Chakravorty; Tomasz Wiktor Wlodarczyk; Chunming Rong (2013) Privacy Preserving Data Analytics for Smart Homes. I: L. Jean Camp, Security and Privacy Workshops (SPW), 2013 IEEE. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781479904587. s.23-27. DOI: 10.1109/SPW.2013.22

Chunming Rong; Antorweep Chakravorty; Tomasz Wiktor Wlodarczyk (2013) A map reduce based K-anonymization solution for sharing of smart home data. I: Chunming Rong; Vladimir Oleshchuk, Proceeding of Norwegian Information Security Conference / Norsk informasjonssikkerhetskonferanse - NISK 2013 - Stavanger, 18th-20th November 2013. Akademika forlag. ISBN 9788232103669. s.70-75.

Tomasz Wiktor Wlodarczyk (2012) Overview of Time Series Storage and Processing in a Cloud Environment. I: Tomasz Wiktor Wlodarczyk; Robert Hsu, CloudCom 2012 : Fourth IEEE International Conference on Cloud Computing Technology and Science, Proceedings, Taipei, Taiwan, December 3-6, 2012. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781467345095. s.625-628. DOI: 10.1109/cloudcom.2012.6427510

Tomasz Wiktor Wlodarczyk; Yi Han; Xiao Yu; Chunming Rong (2012) Evaluation of some optimisation techniques for semantic query answering on shared–nothing architecture. I: International Journal of Space-Based and Situated Computing (IJSSC). ISSN 2044-4893. Volum 2. s.12-22. DOI: 10.1504/IJSSC.2012.045567

Byambajargal Byambajav; Tomasz Wiktor Wlodarczyk; Chunming Rong; Paea LePendu; Nigam Shah (2012) Performance of Left Outer Join on Hadoop with Right Side within Single Node Memory Size. I: Leonard Barolli; Tomoya Enokido; Fatos Xhafa; Makoto Takizawa, 26th IEEE International Conference on Advanced Information Networking and Applications Workshops (WAINA 2012). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9780769546520. s.1075-1080. DOI: 10.1109/waina.2012.20

Tomasz Wiktor Wlodarczyk; Paea LePendu; Nigam Shah; Chunming Rong (2011) Position Paper: Scaling-out the NCBO Resource Index Processing and Maintenance. I: CEUR Workshop Proceedings. Online ISSN 1613-0073. Volum 736.

Tomasz Wiktor Wlodarczyk; Chunming Rong (2011) Applying SWRL-F to Intercloud Constraints Analysis. I: . HPCS, High Performance Computing and Simulation (HPCS), 2011 International Conference on. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781612843803. s.391-396.

Yuri Demchenko; Canh Ngo; Cees de Laat; Chunming Rong; Tomasz Wiktor Wlodarczyk; Wolfgang Ziegler (2011) Security Infrastructure for On-demand Provisioned Cloud Infrastructure Services. I: . CloudCom, Cloud Computing Technology and Science (CloudCom), 2011 IEEE Third International Conference on. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9780769546223. s.255-263. DOI: 10.1109/cloudcom.2011.42

Tomasz Wiktor Wlodarczyk; Chunming Rong (2011) An Initial Survey on Integration and Application of Cloud Computing to High Performance Computing. I: . CloudCom, Cloud Computing Technology and Science (CloudCom), 2011 IEEE Third International Conference on. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9780769546223. s.612-617.

Tomasz Wiktor Wlodarczyk; Yi Han; Chunming Rong (2011) Performance Analysis of Hadoop for Query Processing. I: . WAINA, Advanced Information Networking and Applications (WAINA), 2011 IEEE Workshops of International Conference on. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781612848297. s.507-513. DOI: 10.1109/waina.2011.130

Tomasz Wiktor Wlodarczyk; Chunming Rong; Dagfinn Wåge (2011) Challenges in Healthcare and Welfare Intercloud. I: . IDCTA, Digital Content, Multimedia Technology and its Applications (IDCTA), 2011 7th International Conference on. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781457704734.

Tomasz Wiktor Wlodarczyk; Chunming Rong; Martin O'Connor; Mark A. Musen (2011) SWRL-F: a fuzzy logic extension of the semantic web rule language. I: Rajendra Akerkar, Proceedings of WIMS '11, International Conference on Web Intelligence, Mining. ACM Publications. ISBN 9781450301480. DOI: 10.1145/1988688.1988735

Tomasz Wiktor Wlodarczyk; Chunming Rong (2011) Handling Big Data: On Mutual Applications of Cloud Computing and Semantic Web Technologies. University of Stavanger. ISBN 9788276444575.

Tomasz Wiktor Wlodarczyk; Martin OConnor; Chunming Rong; Mark A. Musen (2010) SWRL-F - A Fuzzy Logic Extension of the Semantic Web Rule Language. I: CEUR Workshop Proceedings. Online ISSN 1613-0073. Volum 654. s.97-100.

Chunming Rong; Baodong Jia; Tomasz Wiktor Wlodarczyk (2010) Performance Considerations of Data Acquisition in Hadoop System. I: Judy Qiu; Gansen Zhao; Chunming Rong, 2nd IEEE International Conference on Cloud Computing Technology and Science - CloudCom 2010. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9780769543024. s.545-549.

Tomasz Wiktor Wlodarczyk; Chunming Rong (2010) On the sustainability impacts of cloud-enabled cyber physical space. I: Judy Qiu; Gansen Zhao; Chunming Rong, 2nd IEEE International Conference on Cloud Computing Technology and Science - CloudCom 2010. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9780769543024. s.597-602.

Tomasz Wiktor Wlodarczyk; Chunming Rong; Baodong Jia; Csongor I Nyulas; Mark A. Musen (2010) DataStorm - An Ontology-Driven Framework for Cloud-Based Data Analytic Systems. I: 2010 IEEE, 2010 IEEE 6th World Congress on Services : SERVICES 2010, 5-10 July 2010, Miami, Florida, USA. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9780769541297. s.123-127.

Tomasz Wiktor Wlodarczyk; Chunming Rong; Csongor I Nyulas; Mark A. Musen (2010) An efficient approach to intelligent real-time monitoring using ontologies and Hadoop. I: Deployment models: Towards eliminating security concerns from cloud computing. IEEE Press. ISBN 9781424468270. s.209-215.

Chunming Rong; Kari Anne Haaland Thorsen; Tomasz Wiktor Wlodarczyk (2009) Industrial Cloud: Toward Inter-Enterprise Integration. I: Martin Gilje Jaatun; Gansen Zhao; Chunming Rong, Cloud Computing. Springer. ISBN 9783642106644. s.460-471.

Rui Máximo Esteves Esteves; Tomasz Wiktor Wlodarczyk; Chunming Rong (2009) Bayesian Networks for Fault Detection under Lack of Historical Data. I: Frank Hsu, The International Symposium on Pervasive Systems, Algorithms, and Networks (I-SPAN 2009). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9780769539089. s.732-736.

Bøker og kapitler

Tomasz Wiktorski (2019) Data-intensive systems: Principles and Fundamentals using Hadoop and Spark. Springer Nature. ISBN 9783030046026.

Lars Ropeid Selsaas; Bikash Agrawal; Rong Chunming; Tomasz Wiktorski (2015) Data Mining Workshop (ICDMW), 2015 IEEE International Conference on. IEEE Press. ISBN 9781467384926.

Tomasz Wiktor Wlodarczyk; Robert Hsu (2012) CloudCom 2012 : Fourth IEEE International Conference on Cloud Computing Technology and Science, Proceedings, Taipei, Taiwan, December 3-6, 2012. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781467345095.

Tomasz Wiktor Wlodarczyk; Kari Anne Haaland Thorsen; Chunming Rong (2010) Integrated Data Processing. I: Philippe Maincon; Trond Kvamsdal; Paal Skjetne; Knut-Andreas Lie; Egil Tjåland; Arild Normann Nystad; Jørn Aslak Amundsen; Einar Rønquist; Per-Olof Åstrand, Computational Science and Engineering: Challenges and Opportunities. NTNU og SINTEF. ISBN 9788299520201. s.46-47.

Formidling

Sergey Alyaev; Felix James Cardano Pacis; Tomasz Wiktorski (2024) Cloud-Free Question Answering from Internal Knowledge Bases: Building an AI for Drilling Applications. DigiWells Seminar 2024; 2024-11-26 - 2024-11-27.

Sergey Alyaev; Felix James Cardano Pacis; Tomasz Wiktorski (2024) Domain-adapted Embeddings Model Using Contrastive Learning for Drilling Text Data. FAIEMA 2024; 2024-10-01 - 2024-10-02.

Jakob Svane; Tomasz Wiktorski; Trygve Christian Eftestøl; Stein Ørn (2024) Differences in blood pressure and heart rate variability between individuals with and without coronary artery calcification during prolonged high-intensity endurance exercise. I: European Journal of Preventive Cardiology (EJPC). ISSN 2047-4873. Volum 31. DOI: 10.1093/eurjpc/zwae175.087

Felix James Cardano Pacis; Sergey Alyaev; Tomasz Wiktorski (2023) Demo: Chatbot for oil and gas data. DigiWells Seminar; 2023-11-28 - 2023-11-29.

Felix James Cardano Pacis; Tomasz Wiktorski; Adrian Ambrus; Sergey Alyaev (2023) Exploration of Strategies to Improve Continual Learning From Irregular Sequential Drilling Data. OMAE 42nd International Conference on Ocean, Offshore & Arctic Engineering; 2023-06-11 - 2023-06-16.

Felix James Cardano Pacis; Sergey Alyaev; Tomasz Wiktorski (2022) Demo: Chatbot for NCS well data. Annual DigiWells Seminar 2022; 2022-12-01 - 2022-12-02.

Felix James Cardano Pacis; Tomasz Wiktorski; Sergey Alyaev; Adrian Ambrus; Rasool Khosravanian; Tron Golder Kristiansen (2022) Exploring transfer learning for ROP prediction on the NCS. Annual seminar SFI DigiWells; 2022-12-01 - 2022-12-02.

Adrian Ambrus; Sergey Alyaev; Nazanin Jahani; Felix James Cardano Pacis; Tomasz Wiktorski (2022) Rate of Penetration Prediction Using Quantile Regression Deep Neural Networks. ASME 41st International Conference on Ocean, Offshore and Arctic Engineering; 2022-06-05 - 2022-06-10.

Felix James Cardano Pacis; Sergey Alyaev; Adrian Ambrus; Tomasz Wiktorski (2022) Transfer Learning Approach to Prediction of Rate of Penetration in Drilling. INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE (ICCS) 2022; 2022-06-21 - 2022-06-23.

Sergey Alyaev; Adrian Ambrus; Felix James Cardano Pacis; Nazanin Jahani; Tomasz Wiktorski; Ahmed Elsheikh (2021) Drilling Process Modelling with Deep Learning: Towards ROP Prediction. DigiWells seminar; 2021-11-23 - 2021-11-24.

Hasan Asyari Arief; Peter Thomas; Tomasz Wiktorski (2021) MixUp Regression: Better Generalizing Regression Data using Manifold Regularization MixUp. NORDICAIMEET 2021 Nordic young researchers symposium; 2021-11-02.

Andrzej Tadeusz Tunkiel; Dan Sui; Tomasz Wiktorski (2020) OMAE2020-18154: Continuous Drilling Sensor Data Reconstruction and Prediction via Recurrent Neural Networks. OMAE 2020; 2020-08-03 - 2020-08-07.

Andrzej Tadeusz Tunkiel; Dan Sui; Tomasz Wiktorski (2020) OMAE2020-18151: Drilling Dataset Exploration, Processing and Interpretation Using Volve Field Data. OMAE 2020; 2020-08-03 - 2020-08-07.

Tomasz Wiktorski (2019) Data Science Model Curriculum Implementation for Various Types of Big Data Infrastructure Courses. IEEE eScience 2019; 2019-09-24.

Tomasz Wiktorski (2019) EDISON Data Science Framework (EDSF) Extension to Address Transversal Skills required by Emerging Industry 4.0 Transformation. IEEE eScience 2019; 2019-09-24.

Suranga Chaminda Hemba Geekiyanage; Erik Andreas Løken; Dan Sui; Tomasz Wiktorski (2019) Architectures and algorithms for a smart drilling robot. Proceedings of the ASME 2019 38th International OMAE Conference; 2019-06-09 - 2019-06-14.

Tomasz Wiktorski (2018) Challenges in Causal Inference from Personal Monitoring Devices. 2018 Federated Conference on Computer Science and Information Systems; 2018-09-09 - 2018-09-12.

Yuri Demchenko; Tomasz Wiktorski (2017) Becoming a Data Scientist end Educating Data Scientists. IEEE CloudCom 2017; 2017-12-11 - 2017-12-14.

Tomasz Wiktorski; Yuri Demchenko (2017) Education, selfdevelopment, and recruiting data scientists - results from EDISON project. Warsaw Data Science Meetup; 2017-06-20.

Tomasz Wiktorski (2017) Model Curricula for Data Science EDISON Data Science Framework. IEEE CloudCom 2017; 2017-12-11 - 2017-12-14.

Tomasz Wiktorski (2017) Data Science course design, academic perspective. Third EDISON Champions Conference; 2017-06-19 - 2017-06-20.

Bikash Agrawal; Antorweep Chakravorty; Tomasz Wiktorski; Rong Chunming (2016) Enrichment of Machine Learning based Activity Classification in Smart Homes using Ensemble Learning. Conference Presentation; 2016-12-06 - 2016-12-09.

Andrea Manieri; Yuri Demchenko; Tomasz Wiktorski; Steve Brewer; Ruben Riestra; Matthias Hemmje; Tiziana Ferrari; Jeremy Frey (2015) Data Science Professional uncovered: How the EDISON Project will contribute to a widely accepted profile for Data Scientists. 2015 Data Teaching Workshop – 2nd IEEE STC CC and RDA Workshop on Curricula and Teaching Methods in Cloud Computing, Big Data, and Data Science; 2015-11-30 - 2015-12-03.

Tomasz Wiktorski; Thomas Hacker; Raymond Hansen; Gregory Rodgers (2015) Experience with Problem-based Learning in a Hybrid Classroom. 2015 Data Teaching Workshop – 2nd IEEE STC CC and RDA Workshop on Curricula and Teaching Methods in Cloud Computing, Big Data, and Data Science ; 2015-11-30 - 2015-12-03.

Tomasz Wiktor Wlodarczyk (2014) Performance of Data Extraction from OpenTSDB. ITISE 2014 International work-conference On Time ; 2014-06-11 - 2014-06-13.

Antorweep Chakravorty; Tomasz Wiktor Wlodarczyk; Chunming Rong (2014) A Scalable K-Anonymization Solution for Preserving Privacy in an Aging-in-Place Welfare Intercloud. IEEE Third International Workshop on Cloud Computing Interclouds, Multiclouds, Federations, and Interoperability; 2014-03-11.

Antorweep Chakravorty; Chunming Rong; Pål Evensen; Tomasz Wiktor Wlodarczyk (2014) A Distributed Gaussian-Means Clustering Algorithm for Forecasting Domestic Energy Usage. 2014 International Conference on Smart Computing (SmartComp 2014); 2014-11-04.

Tomasz Wiktor Wlodarczyk (2014) Strategic Collaboration on Advanced Data Analysis and Communication between Purdue University and University of Stavanger. The International Conference for High Performance Computing and Networking, Storage, Analysis; 2014-11-16 - 2014-11-21.

Antorweep Chakravorty; Tomasz Wiktor Wlodarczyk; Chunming Rong (2013) A MapReduce based K-Anonymization Solution for Sharing of Smart Home Data. Norwegian Information Security Conference / Norsk informasjonssikkerhetskonferanse - NISK 2013; 2013-11-18 - 2013-11-20.

Antorweep Chakravorty; Tomasz Wiktor Wlodarczyk; Chunming Rong (2013) Safer@Home Analytics: a Big Data Analytical Solution for Smart Homes. IEEE International Conference on Cloud Computing Technology and Scienc; 2013-12-02 - 2013-12-05.

Tomasz Wiktor Wlodarczyk (2013) Performance Analysis and Optimization of Map Only Left Outer Join. AINA 2013; 2013-03-25.

Tomasz Wiktor Wlodarczyk (2013) Storage and Analysis of Big Time Series. ISO 15926 and Semantic Technologies 2013; 2013-09-05 - 2013-09-06.

Antorweep Chakravorty; Tomasz Wiktor Wlodarczyk; Chunming Rong (2013) Privacy Preserving Data Analytics for Smart Homes. 4th International Workshop on Data Usage Management; 2013-05-23.

Tomasz Wiktor Wlodarczyk (2011) Privacy, Security and Trust in Distributed Systems. PhD Trial Lecture; 2011-08-12.

Tomasz Wiktor Wlodarczyk (2011) Handling Big Data: On Mutual Applications of Cloud Computing and Semantic Web Technologies. PhD Defence; 2011-08-12.

Tomasz Wiktor Wlodarczyk; Chunming Rong (2011) Handling Big Data - Overview of 3 Projects. Stanford BMIR Lecture; 2011-10-31.

Tomasz Wiktor Wlodarczyk; Dagfinn Wåge; Chunming Rong (2011) Challenges in healthcare and welfare intercloud. the 7th International Conference on Digital Content, Multimedia Technology and its Applications (IDCTA); 2011-08-16 - 2011-08-18.

Tomasz Wiktor Wlodarczyk; Chunming Rong (2011) An Initial Survey on Integration and Application of Cloud Computing to High Performance Computing. the 3rd IEEE international conference on Cloud Computing Technology and Science (CloudCom) 2011; 2011-11-29 - 2011-12-01.

Tomasz Wiktor Wlodarczyk; Yi Han; Chunming Rong (2011) Performance Analysis of Hadoop for Query Processing. 2011 IEEE Intl. Conference on Advanced Information Networking and Applications (AINA); 2011-03-22 - 2011-03-25.

Yuri Demchenko; Canh Ngo; Cees de Laat; Tomasz Wiktor Wlodarczyk; Chunming Rong; Wolfgang Ziegler (2011) Security Infrastructure for On-demand Provisioned Cloud Infrastructure Services. the 3rd IEEE international conference on Cloud Computing Technology and Science (CloudCom) 2011; 2011-11-29 - 2011-12-01.

Chunming Rong; Tomasz Wiktor Wlodarczyk (2011) Security challenges in Clouds. 6th NATO CAX Joint Computer Assisted Exercise Forum (CAX '11); 2011-09-12 - 2011-09-15.

Tomasz Wiktor Wlodarczyk; Chunming Rong (2011) Applying SWRL-F to Intercloud Constraints Analysis. the 2011 International Conference on High Performance Computing and Simulation (HPCS); 2011-07-04 - 2011-07-08.

Tomasz Wiktor Wlodarczyk; Martin O'Connor; Mark A. Musen; Chunming Rong (2011) SWRL-F: a fuzzy logic extension of the semantic web rule language. the International Conference on Web Intelligence, Mining and Semantics (WIMS’11); 2011-05-25 - 2011-05-27.

Tomasz Wiktor Wlodarczyk; Paea LePendu; Nigam Shah; Chunming Rong (2011) Scaling-out the NCBO Resource Index Processing and Maintenance. the 1st Workshop on High-Performance Computing for the Semantic Web (HPCSW 2011 -ESWC); 2011-05-29 - 2011-05-30.

Source: Nasjonalt vitenarkiv