Publications

Since embarking on my academic career in 2009, I have authored and co-authored over 100 research articles which have been published in highly reputable IEEE/ACM journals and international conferences, including one international patent, three special issues for journals, three book chapters, 52 journal papers, and 45 conference papers. My research contributions have been well-received within the academic community and have been published in journals that occupy the top quartile (Q1) within their respective subject areas, signifying their prestige and impact. (Published 1 patent, 2 journal special issue, 22 journals and 15 conference publications since joining Birkbeck)

International Patent

1. P. D. Yoo, R. Asal, Methods and Systems for Intrusion Detection, June 2024 (filed by British Telecommunications plc)

Journal Special Issue

1. IEEE Transactions on Sustainable Computing, Issue on Sustainable Defence and Security Systems, Dec 2023, Edited by P. D. Yoo and Z. Tari, DOI: 10.1109/TSUSC.2023.3308471

2. Sustainable Information Security and Forensic Computing. IEEE Transactions on Sustainable Computing. Mar 2021, Edited by P. D. Yoo and Z. Tari, DOI: 10.1109/TSUSC.2020.3039652 

3. Big Data, Analytics, and High-Performance Computing, Journal of Big Data Research, Elsevier, Vol. 2, Issue 3, September 2015, ISSN 2214-5796, Edited by A. Y. Zomaya, P. D. Yoo. URL: https://www.sciencedirect.com/journal/big-data-research/vol/2/issue/3 

Fully Refereed Journal

Submitted

1. A. Matuozzo, P. D. Yoo, A. Provetti, Centaur Trading: Human-machine integration in stock market prediction, Communications of the ACM, 2024

2. Z. Almahmoud, P. D. Yoo, E. Damiani, Forecasting Cyber Threat and Pertinent Alleviation Technologies, 2024

3. A. Awadallah, E. Damiani, P. D. Yoo, Artificial Intelligence-based Cybersecurity for the Metaverse and NFTs: Research Challenges and Opportunities, IEEE Communications Surveys and Tutorials, Apr 2023 (revision submitteed on 10/10/2023)

4. K. Taha, P. D. Yoo,Text Data Mining: A Review, Empirical Evaluation, and Experimental Evaluation, ACM Computing Surveys, May 2023

5. K. Taha, P. D. Yoo, Text Classification Techniques: A Holistic Review, Observational Analysis, and Experimental Investigation, ESWA, Apr 2024

6. G. Grossi, A. Provetti, P. D. Yoo, Deep learning framework for the differentiation of status when calling customer-care numbers, IEEE Access, Jun 2023

Published

1. P. D. Yoo, Z. Tari, Editorial: Sustainable Defence and Security Systems, IEEE Transactions on Sustainable Computing, Dec 2023, DOI: 10.1109/TSUSC.2023.3308471

2. K. Taha, P. D. Yoo, Empirical and Experimental Perspectives on Big Data in Recommendation Systems: A Comprehensive Survey,  IEEE Big Data Mining and Analytics, DOI: 10.26599/BDMA.2024.9020009 (to appear)

3. K. Taha, P. D. Yoo, Learning a Deep-feature Clustering Model for Gait-based Individual Identification, Computers and Security, 2024, DOI: 10.1016/j.cose.2023.103559

4. Z. Almahmoud, P. D. Yoo, E. Damiani, A holistic and proactive approach to forecasting cyber threats, Nature, Scientific Reports, 2023, DOI: 10.1038/s41598-023-35198-1

5. A. Matuozzo, P. D. Yoo, A. Provetti, A right kind of wrong: European equity market forecasting with custom feature engineering and loss function, Journal of Expert Systems with Applications, 2023, DOI: 10.1016/j.eswa.2023.119854

6. D. T. Uysal, P. D. Yoo and K. Taha, Data-driven malware detection for 6G networks: A survey from the perspective of continuous learning and explainability via visualisation, in IEEE Open Journal of Vehicular Technology, 2022, DOI: 10.1109/OJVT.2022.3219898.

7. K. Taha, P. D. Yoo, F. Z. Eddinari, Detecting Implicit Cross-Communities to Which an Active User Belongs, PLoS ONE, Feb 2022, DOI: 10.1371/journal.pone.0264771

8. K. Taha, P. D. Yoo, F. Z. Eddinari, S. Nedunkulathil, Inferring the Densest Multi-Profiled Cross-Community for a User Knowledge-Based Systems, Journal of Knowledge-based Systems, Elsevier, Oct 2021, DOI: 10.1016/j.knosys.2021.107681

9. Al Hamadi A, Yeun CY, Damiani E, Yoo P. D., Hu J, Yeun HK, Yim MS. Explainable Artificial Intelligence to evaluate industrial internal security using EEG signals in IoT Framework. Ad Hoc Networks, 2021 Jul 30. DOI: 10.1016/j.adhoc.2021.102641

10. Alkeem EA, Yeob Yeun C, Yun J, Yoo P. D., Chae M, Rahman A, Asyhari AT. Robust Deep Identification using ECG and Multimodal Biometrics for Industrial Internet of Things, Ad Hoc Networks, 01 Oct 21, DOI: 10.1016/j.adhoc.2021.102581

11. Yoo P. D., Tari Z. Sustainable Information Security and Forensic Computing. IEEE Transactions on Sustainable Computing. 2021 Jan 1;6(01):2-3. DOI: 10.1109/TSUSC.2020.3039652

12. Al Hammadi AY, Lee D, Yeun CY, Damiani E, Kim SK, Yoo P. D., Choi HJ. Novel EEG sensor-based risk framework for the detection of insider threats in safety critical industrial infrastructure. IEEE Access. 2020 Nov 13;8:206222-34. DOI: 10.1109/ACCESS.2020.3037979

13. Taha K, Davuluri R, Yoo P. D., Spencer J. Personizing the prediction of future susceptibility to a specific disease. Plos one. 2021 Jan 6;16(1):e0243127. DOI: 10.1371/journal.pone.0243127

14. S-J. Lee, P. D. Yoo, T. Asyhari, Y. Jhi, L. Chermak, C.Y. Yeun, K. Taha, IMPACT: Impersonation attack detection via edge computing using deep autoencoder and feature abstraction, IEEE Access, 2020, 8, 65520-65529, DOI: 10.1109/ACCESS.2020.2985089

15. Parvin S, Gawanmeh A, Venkatraman S, Alwadi A, Al-Karaki JN, Yoo P. D., A trust-based authentication framework for security of WPAN using network slicing. International Journal of Electrical and Computer Engineering. 2021 Apr 1;11(2):1375.

16. Kim, C. Y., P. D. Yoo, An Enhanced Machine Learning-based Biometric Authentication System Using RR-Interval Framed Electrocardiograms, IEEE Access, 2019, DOI: 10.1109/ACCESS.2019.2954576

17. E. Alkeem, S. Kim, C. Yeun, M. J. Zemerly, K. Poon, G. Gianini, P. D. Yoo, An Enhanced Electrocardiogram Biometric Authentication System Using Machine Learning, IEEE Access, 2019, DOI: 10.1109/ACCESS.2019.2937357

18. K. Taha, P. D. Yoo, Shortlisting the Influential Members of Criminal Organizations and Identifying their Important Communication Channels, IEEE Trans Information Forensics and Security, 2019, DOI: 10.1109/TIFS.2018.2890811

19. M. Li, S. Muhaidat, P. D. Yoo, et al. Effects of Residual Hardware Impairments on Secure NOMA-Based Cooperative Systems, IEEE Access, 2020, DOI: 10.1109/ACCESS.2019.2951940

20. E Alkeem. S Kim, C. Y. Yeun, M. J. Zemerly, K. Poon, P. D. Yoo, An Enhanced Electrocardiogram Biometric Authentication System Using Machine Learning, IEEE Access, 2019, DOI: 10.1109/ACCESS.2019.2937357

21. H. Goian, S. Muhaidat, P. D. Yoo, Popularity-based Video Caching Techniques for Cache-enabled Networks: A survey, IEEE Access, 2019, DOI: 10.1109/ACCESS.2019.2898734

22. Li, M., Alhussein, O., Sofotasios, P., Muhaidat, S., Yoo, P. D., Liang, J. and Wang, A., 2019. Censor-Based Cooperative Multi-Antenna Spectrum Sensing with Imperfect Reporting Channels. IEEE Transactions on Sustainable Computing, 2019, DOI: 10.1109/TSUSC.2019.2896667

23. A. Nisioti, A. Mylonas, P. D. Yoo, V. Katos, From Intrusion Detection to Attacker Attribution: A Comprehensive Survey of Unsupervised Methods, IEEE Communications Surveys and Tutorials, 2018, DOI: 10.1109/COMST.2018.2854724

24. A. Tsimperidis, P. D. Yoo, K. Taha, V. Katos, A. Mylonas, R2BN: An Adaptive Model for Keystroke-Dynamics-Based Educational Level Classification, IEEE Transactions on Cybernetics, 2018, DOI: 10.1109/TCYB.2018.2869658

25. M. Aminanto, P. D. Yoo, K. Kim, Deep Abstraction and Weighted Feature Selection for Wi-Fi Impersonation Detection, IEEE Transactions on Information Forensics and Security, 2017, DOI: 10.1109/TIFS.2017.2762828

26. O. Al-Jarrah, Y. Al-Hammadi, P. D. Yoo, M. Al-Qutayri, Semi-Supervised Multi-Layered Clustering Model for Intrusion Detection, Journal of Digital Communications and Networks, Elsevier, 2017, DOI: 10.1016/j.dcan.2017.09.009

27. G. Tello, P. D. Yoo, Y. Al-Hammadi, S. Muhaidat, U. Lee, Deep-structured Machine Learning Model for the Recognition of Mixed-defect Patterns in Semiconductor Fabrication Processes, IEEE Transactions on Semiconductor Manufacturing, 2018, DOI: 10.1109/TSM.2018.2825482

28. Taha, K. Sarah, P. D. Yoo, Clustering the Dominant Defective Patterns in Semiconductor Wafer Maps, IEEE Transactions on Semiconductor Manufacturing, 2017, DOI: 10.1109/TSM.2017.2768323

29. O. Al-Jarrah, Y. Al-Hammadi, P. D. Yoo, S. Muhaidat, Multi-Layered Clustering for Power Consumption Profiling in Smart Grids, IEEE Access, 2017, DOI: 10.1109/ACCESS.2017.2712258

30. K. Taha and P. D. Yoo, Using the Spanning Tree of a Criminal Network for Identifying Its Leaders, IEEE Transactions on Information Forensics and Security, vol. 12, no. 2, pp. 445-453, Feb. 2017. DOI: 10.1109/TIFS.2016.2622226

31. K. Taha, P. D. Yoo, SIIMCO: A Forensic Investigation Tool for Identifying the Influential Members of a Criminal Organization, IEEE Transactions on Information Forensics & Security, 11(4), pp. 811–822, 2016, DOI: 10.1109/TIFS.2015.2510826

32. K. Taha, P. D. Yoo, Predicting the Functions of a Protein from its Ability to Associate with other Molecules, BMC Bioinformatics, 17:105, Jan 2016, DOI: 10.1186/s12859-016-0882-3

33. F. Al Shawish, P. D. Yoo, Randomized General Regression Network for Identification of Defect Patterns in Semiconductor Wafer Maps, IEEE Transactions on Semiconductor Manufacturing, 28(2), pp. 145–152, 2015, DOI: 10.1109/TII.2015.2481719.

34. F. Al Shawish, P. D. Yoo, Randomized Regression and Simplified Subspacing for Recognition of Defect Patterns in Semiconductor Wafer Maps, IEEE Transactions on Industrial Informatics, 11(6), pp. 1267–1276, 2015, DOI: 10.1109/TII.2015.2481719.

35. O. Al-Jarrah, P. D. Yoo, S. Muhaidat, G. K. Karagiannidis, K. Taha, Efficient Machine Learning for Big Data: A Review, Journal of Big Data Research, Elsevier, Vol 2, Issue 3, Page 87–93, Sep 2015, DOI: 10.1016/j.bdr.2015.04.001.

36. O, Al-Jarrah, P. D. Yoo, S. Muhaidat, Data Randomization and Cluster-Based Partitioning for Botnet Intrusion Detection, IEEE Transactions on Cybernetics, Oct. 2015, pp. 2168–2267, DOI: 10.1109/TCYB.2015.2490802.

37. K. Huseynov, P. D. Yoo, K. Kim, Scalable P2P Botnet Detection with Threshold Setting in Hadoop Framework, Journal of The Korea Institute of Information Security and Cryptology, Vol 25, No 4, pp. 807–816, Aug 2015, DOI: 10.13089/JKIISC.2015.25.4.807.

38. M. Shatnawi, N. Zaki, P. D. Yoo, Protein Inter-Domain Linker Prediction Using Random Forest and Amino Acid Physiochemical Properties, BMC Bioinformatics, Vol. 15 (S16), S8, 2014, DOI: 10.1186/1471-2105-15-S16-S8

39. K. Taha, P. D. Yoo, M. Alzaabi, iPFPi: A System for Improving Protein Function Prediction through Cumulative Iterations, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2015, DOI: 10.1109/TCBB.2014.2344681.

40. P. D. Yoo, K. Taha, S. Muhaidat, Intelligent Consensus Modeling for Proline Cis-Trans Isomerization Prediction, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11(1): 26–32, 2014, DOI: 10.1109/TCBB.2013.132

41. K. Taha, R. Jayaraman, P. D. Yoo, A Classifier System for Determining the Functions of Un-annotated Proteins based on their Semantic Similarities with GO Annotation Terms, Journal of Advanced Science, Engineering and Medicine, Vol. 6(8), 879-883(5), 2014, DOI: 10.1166/asem.2014.1591.

42. P. D. Yoo, S. Muhaidat, A. Shami, K. Taha, Randomized Subspace Learning for Proline Cis-Trans Isomerization Prediction, IEEE Transactions on Computational Biology and Bioinformatics, DOI: 10.1109/TCBB.2014.2369040, 2015.

43. O. Altrad, S. Muhaidat, A. Al-Dweik, A. Shami, P. D. Yoo, Opportunistic Spectrum Access in Cognitive Radio Networks Under Imperfect Spectrum Sensing. IEEE Transactions on Vehicular Technology, 63(2): 920–925, 2014, DOI: 10.1109/TVT.2013.2281334.

44. O. Altrad, S. Muhiadat, P. D. Yoo, A Doppler Frequency Estimation-Based Handover Algorithm for LTE Networks, IET Networks 3(2): 88–96, 2014, DOI: 10.1049/iet-net.2012.0224.

45. P. Yang, P. D. Yoo, J. Fernando, A. Y. Zomaya, B. Zhou, Sample subsets optimization for ensemble classification of small sample size and high-dimensional data, IEEE Transactions on Cybernetics, 44(3): 445–455, 2014, DOI: 10.1109/TCYB.2013.2257480.

46. P. D. Yoo, A. Y. Zomaya, Combining Analytic Kernel Models for Energy-Efficient Data Modeling and Classification, Journal of Supercomputing, Springer, 2012, DOI: 10.1007/s11227-012-0776-8

47. P. D. Yoo, Y. S. Ho, J. Ng., et al. Hierarchical Kernel Mixture Models for the Prediction of AIDS Disease Progression Using HIV Structural gp120 Profile, BMC Genomics 2010, 11(4):S22, DOI: 10.1186/1471-2164-11-S4-S22.

48. P. D. Yoo, B. B. Zhou, A. Y. Zomaya, A modular kernel approach for integrative analysis of protein inter-domain linker regions. BMC Genomics 2009, 10(3): S21

49. P. D. Yoo, S. Ho, B. B. Zhou, A.Y. Zomaya, SiteSeek: Protein Post-Translational Modification Analysis Using Adaptive Locality-Effective Kernel Methods and New Profiles, BMC Bioinformatics, 2008, 9:272, DOI: 10.1186/1471-2105-9-272.

50. P. D. Yoo, A. Sikder, J. Taheri, B. B. Zhou, A. Y. Zomaya, DomNet: Protein Domain Boundary Prediction Using Enhanced General Regression Network and New Profiles, IEEE Transactions on NanoBioscience 2008, 7(2), 172–181, DOI: 10.1109/TNB.2008.2000747.

51. P. D. Yoo, A. Sikder, B. B. Zhou, A. Y. Zomaya, Improved General Regression Network for Domain Boundary Prediction, BMC Bioinformatics, 8(10): S12, 2008, DOI: 10.1186/1471-2105-9-S1-S12.

52. P. D. Yoo, B. B. Zhou, A. Y. Zomaya, Machine Learning Techniques for Protein Secondary Structure Prediction: An Overview and Evaluation, Journal of Current Bioinformatics 2008, 3(2), 74–86(13).

Book Chapter

1. P. D. Yoo, S. Muhaidat, K. Taha, A. Y. Zomaya, Prediction of Proline Cis-Trans Isomerization, Pattern Recognition in Computational Molecular Biology: Techniques and Approaches, ISBN: 978-1-118-89368-5, Pages 236–248, Wiley 2016, DOI: 10.1002/9781119078845.ch13

2. M. Shatnawi, P. D. Yoo, Protein Inter Domain Linker Prediction, Pattern Recognition in Computational Molecular Biology: Techniques and Approaches, ISBN: 978-1-118-89368-5, Pages 212–235, Wiley 2016, DOI: 10.1002/9781119078845.ch12

3. P. D. Yoo, B. B. Zhou, A. Y. Zomaya, Protein domain boundary prediction. In Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications. Wiley 2010, Page 501–519, Edited by M. Elloumi and A. Y. Zomaya.

Peer Reviewed Conference

Published

1. W. Liu, M. Fischer, P. D. Yoo, T. Ritschel, Neural Bounding, The ACM Special Interest Group on GRAPHics and Interactive Techniques Conference (SIGGRAPH'24), Denver, U.S., July 28 - Aug 1, 2024, DOI: 10.1145/3641519.365744

2. D. T. Uysal, P. D. Yoo, A Visual Analytics Framework for Explainable Malware Detection in Edge Computing Networks, 2023 IEEE Global Communications Conference (GlobeCom), 4–8 December 2023, Kuala Lumpur, Malaysia, DOI: 10.1109/GLOBECOM54140.2023.10437114

3. S-K. Kim, C. Y. Yeun, P. D. Yoo, N-W. Lo, E. Damiani, Deep Learning-Based Arrhythmia Detection Using RR-Interval Framed Electrocardiograms, The 8th International Congress on Information and Communication Technology in concurrent with ICT Excellence Awards (ICICT 2023), London, UK, Feb 20-23, 2023

4. A. Matuozzo, P. D. Yoo, A. Provetti, MH Kim, Machine Learning Methods for Equity Time Series Forecasting: A Compendium, AMLTS in conjunction with The 31st ACM International Conference on Information and Knowledge Management (CIKM'22), Atlanta, USA, Oct 17-21, 2022

5. Almehrezi FR, Yeun CY, Yoo P. D., Damiani E, Al Hammadi Y, Yeun H. An Emerging Security Framework for Connected Autonomous Vehicles. In2020 7th International Conference on Behavioural and Social Computing (BESC) 2020 Nov 5 (pp. 1-4). IEEE. DOI: 10.1109/BESC51023.2020.9348317

6. K. Taha, P. D. Yoo, An Effective Disease Risk Indicator Tool, The 42th IEEE Annual International Conference of the Engineering in Medicine and Biology Society (IEEE EMBS), Montreal, Canada, July 20-24, 2020

7. M. Li, P.C. Sofotasios, P. D. Yoo, Residual Hardware Impairments on Secure NOMA-Based Relay Systems, The 22nd International Symposium on Wireless Personal Mutimedia Communications, 24 – 27 November, 2019

8. L. Parker, P. D. Yoo, T. Asyhari, Y. Jhi, K. Taha and L. Chermak, DEMISe: Interpretable Deep Extraction and Mutual Information Selection Techniques for IoT Intrusion Detection, The 14th ACM International Conference on Availability, Reliability and Security (ARES 2019), Canterbury, United Kingdom, 26 – 29 August, 2019, DOI: 10.1145/3339252.3340497

9. M. Li, S. Muhaidat, P. Sofotasios, P. D. Yoo, Residual Hardware Impairments on Secure NOMA-Based Cooperative Networks, The 22nd International Symposium on Wireless Personal Multimedia Communications, 24-27 Nov, Lisboa, Portugal (Accepted on 06/09/19)

10. M. Li, O. Alhussein, P. Sofotasios, S. Muhaidat, P. D. Yoo, J Liang, A. Wang, Censor-Based Multi-Antenna Cooperative Spectrum Sensing over Erroneous Feedback Channels, IEEE Wireless Communications and Networking Conferences, Morocco, 15-19 April 2019

11. O. Al-Hussain, O. Y. Al-Jarrah, Y. Al-Hammadi, P. D. Yoo, S. Muhaidat, J. Liang, Semiparametric Subsampling and Data Condensation for Large-Scale Data Analytics, IEEE The 32nd Canadian Conference on Electrical and Computer Engineering (IEEE CCECE), Edmonton, Canada, May 5-8 2019

12. K. Taha, P. D. Yoo, Detecting Overlapping Communities of Nodes with Multiple Attributes from Heterogeneous Networks, CollaborateCom 2019, London, UK

13. Grenier A, Nam D, Feetham L, Yoo P. D., Richardson MA, Chermak L. What is Where? Visual Understanding for Autonomous Cars, 2019 Defence and Security Doctoral Symposium (DSDS19) in conjunction with DSTL, AWE, Department for Transport and NCSC, Jan 15. Cranfield Unviersity, UK

14. Li, M., Alhussein, O., Sofotasios, P.C., Muhaidat, S., Yoo, P. D., Liang, J. and Wang, A., Censor-Based Multi-Antenna Cooperative Spectrum Sensing over Erroneous Feedback Channels, IEEE Wireless Communications and Networking Conference, 15-18 April 2019, Morocco (accepted)

15. K. Taha, P. D. Yoo, A Forensic System for Identifying the Suspects of a Crime with No Solid Material Evidences, The 16th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC 2018), 12-15 August 2018, Athens, Greece.

16. F. Adly, S. Muhaidat, P. D. Yoo, Cumulant-Based Automatic Modulation Classification Over Frequency-Selective Channels, IEEE International Conference on Cyber, Physical and Social Computing (CPSCom), Halifax, Canada, 30 July – 3 Aug 2018 (in print)

17. M. E. Aminanto, P. D. Yoo, H. C. Tanuwidjaja, K. Kim, Weighted Feature Selection Techniques for Detecting Impersonation Attack in Wi-Fi Networks, 2017 Symposium on Cryptography and Information Security (SCIS), Jan 24–27, 2017, Naha, Japan (in print)

18. Nisioti, A Mylonas, V. Katos, P. D. Yoo, A. Chryssanthou, You Can Run but You Cannot Hide from Memory: Extracting IM evidence of Android Apps, The 22nd IEEE Symposium on Computers and Communication (ISCC), 3–6 July 2017, Heraklion, Crete, Greece, DOI: 10.1109/ISCC.2017.8024571

19. K. Kim, J. Hong, K. Kim, P. D. Yoo, Evaluation of ACA-based Intrusion Detection Systems for Unknown-attacks, 2016 Symposium on Cryptography and Information Security, Kumamoto, Japan, 19–22 Jan, 2016 (in print)

20. M. Al-Shehhi, B. Hirsch, M. Leida, K. Taha, P. D. Yoo, A knowledge Base Visual Analytics Technique for Semantic Web, IEEE 10th International Conference on Semantic Computing (ICSC), Laguna Hills, California, 3–5 Feb 2016, DOI: 10.1109/ICSC.2016.52

21. K. Taha, P. D. Yoo, A System for Analyzing Criminal Social Networks, The 2015 IEEE/ACM International Conference on Advances in Social Analysis and Mining (ASONAM), Paris, France, August 25–28, 2015, DOI: 10.1145/2808797.2808827

22. K. Taha, P. D. Yoo, Predicting Protein Function from Biomedical Text, The 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), MiCo, Milan, Italy, August 25–29, 2015, DOI: 10.1109/EMBC.2015.7319091

23. K. Taha, P. D. Yoo, An Information Extraction System for Protein Function Prediction, The 2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), August 12–15, 2015, Niagara Falls, Canada, DOI: 10.1109/CIBCB.2015.7300300

24. O. Al-Jarrah, A. Siddiqui, M. Elsalamouny, P. D. Yoo, S. Muhaidat. K. Kim. Machine-Learning-Based Feature Selection Techniques for Large-Scale Network Intrusion Detection, The 1st Big Data Analytics for Security Workshop (DASec) in conjunction with 34th International Conference on Distributed Computing Systems (ICDCS), June, 2014, Madrid, Spain, DOI: 10.1109/ICDCSW.2014.14

25. M. Al-Shehhi, B. Hirsch, K. Taha, P. D. Yoo, M. Leida, Ontology-based Visual Analytic Technique for Semantic Web Data, UAE GSRC, Abu Dhabi, 22–24 March, 2015 (in print).

26. O. Alhussein, S. Muhaidat, J. Liang, P. D. Yoo, A Unified Approach for Representing Wireless Channels using EM-Based Finite Mixture of Gamma Distributions, IEEE GLOBECOM, Dec 8–12, 2014, Austin, TX, USA, DOI: 10.1109/GLOCOMW.2014.7063565

27. O. Al-Jarrah, P. D. Yoo, K. Taha, S. Muhaidat, Randomized Subspace Learning for Proline Cis-Trans Isomerization Prediction, The 25th International Conference on Genome Informatics (GIW/ISCB), Dec 15–17, 2014, Tokyo, Japan, DOI: 10.1109/TCBB.2014.2369040

28. O. Al-Jarrah, P. D. Yoo, S. Muhaidat. K. Kim. Large-Scale Network Intrusion Detection, UAE Forum on Information and Communication Technology Research (ICTRF), May 11–13, 2014, Abu Dhabi (in print)

29. K. Taha, P. D. Yoo, Inferring the Relationships Among Genes from Weighted GO Graph, 11th IEEE Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), May 21–24, 2014, Hawaii, DOI: 10.1109/CIBCB.2014.6845527

30. K. Huseynov, K. Kim, P. D. Yoo, Semi-supervised Botnet Detection Using Ant Colony Clustering, the 31st Symposium on Cryptography and Information Security, Jan 21–24, 2014, Kagoshima, Japan (in print)

31. D. Lee, H. Kim, K. Kim, P. D. Yoo, Simulated Attack on DNP3 Protocol in SCADA System, The 31st Symposium on Cryptography and Information Security, Jan 21–24, 2014, Kagoshima, Japan (in print)

32. O. Al-Jarrah, A. Siddiqui, M. Elsalamouny, P. D. Yoo, S. Muhaidat, K. Kim, Machine-Learning-Based Feature Selection Techniques for Large-Scale Network Intrusion Detection, 28th IEEE International Parallel & Distributed Processing Symposium (IPDPS), May 19–23, 2014, Arizona, USA, DOI: 10.1109/ICDCSW.2014.14

33. F. Adly, P. D. Yoo, S. Muhaidat, Y. Al-Hammadi, Machine-Learning-Based Identification of Defect Patterns in Semiconductor Wafer Maps: An Overview and Proposal, 28th IEEE International Parallel & Distributed Processing Symposium (IPDPS), May 19–23, 2014, Arizona, USA, DOI: 10.1109/IPDPSW.2014.54

34. M. AlShehhi, M. L., P. D. Yoo, K. Taha, Visual Analytics in the web of data. The 20th IEEE International Conference on Electronics, Circuits, and Systems (IEEE ICECS). Abu Dhabi, UAE, December 2013, DOI: 10.1109/ICECS.2013.6815363

35. K. Huseynov, K. Kim, P. D. Yoo, Evaluation of Public Datasets for IDS/IPS Benchmark” to the 16th Annual International Conference on Information Security and Cryptology, Korean Institute of Information Security (KIISC), South Korea, 27–29 November 2013 (in print).

36. P. D. Yoo, et al. Intelligent Voting Technique for Proline Cis-Trans Isomerization Prediction, The 24th International Conference on Genome Informatics, 2013, (GIW’13), NUS, Singapore, 16–18 Dec 2013 (in print)

37. P. D. Yoo, A. Y. Zomaya, Tree-Based Consensus Model for Proline Cis-Trans Isomerization Prediction, The 27th IEEE International Parallel and Distributed Processing Symposium 2013 (IPDPS’13), May, Boston, U.S.A. 20–24 May 2013, DOI: 10.1109/IPDPSW.2013.91

38. P. D. Yoo, Prediction of AIDS Disease Progression, 4th Middle East Conference on Healthcare Informatics, April 22–24, 2013, Dubai, UAE (in print)

39. P. D. Yoo, J. W. P. Ng, A. Y. Zomaya, An energy-efficient kernel framework for large-scale data modeling and classification, The 25th IEEE International Parallel and Distributed Processing Symposium 2011 (IPDPS’11). Alaska, U.S.A (to appear), 16–20 May 2011, DOI: 10.1109/IPDPS.2011.178

40. W.P. Ng, N. Azarmi, M. Leida, F. Saffre, A. Afzal, P. D. Yoo, The Intelligent Campus (iCampus): End-to-End Learning Lifecycle of a Knowledge Ecosystem, 2010 Sixth IEEE International Conference on Intelligent Environments (IE’10), 332-337, 19-21 July 2010, DOI: 10.1109/IE.2010.68.

41. P. D. Yoo, S. Ho, B. B. Zhou, A. Y. Zomaya, Adaptive Locality-Effective Kernel Machine for Phosphorylation Site Prediction, The 22nd IEEE International Parallel & Distributed Processing Symposium 2008 (IPDPS’08), Miami, Florida, U.S.A, 1–8, 14–18 April 2008, DOI: 10.1109/IPDPS.2008.4536173

42. P. D. Yoo, B. B. Zhou, A. Y. Zomaya, Machine Intelligence in Protein Sequence Analysis and Structure Prediction, International Conference on Bioinformatics and Computational Biology 2007 (BIOCOMP’07), 370–377, Las Vegas, USA (in print)

43. P. D. Yoo, B. B. Zhou, A. Zomaya, The Role of Long-Range Interaction in Protein Secondary Structure Prediction, 11th Annual International Conference on Research in Computational Molecular Biology 2007 (RECOMB’07), San Francisco, USA, 21–25 Apr 2007 (in print)

44. M. Kim, P. D. Yoo, Semiparametric Model Approach for Financial Bankruptcy Prediction, Proc. of IEEE International Conference on Engineering of Intelligence Systems 2006, 1–6, DOI: 10.1109/ICEIS.2006.1703144

45. P. D. Yoo, M. Kim, T. Jan, Machine Learning Techniques and Use of Event Information for Stock Market Prediction: A Survey and Evaluation, Proc. of IEEE International Conference on Computational Intelligence for Modeling, Control and Automation 2005 (CIMCA’05), Vienna, Austria 2:835–841, 28-30 Nov. 2005, DOI: 10.1109/CIMCA.2005.1631572 (accepted as the best paper candidate)