• Ibraheam, M.,  K.F.  Li, F.  Gebali, ÒMCFP-YOLO Animal Species Detector for Embedded Systems,Ó Electronics, 12(24),  Dec. 2023; https://doi.org/10.3390/electronics12245044
  • Zhu, R., K.F. Li, C. Guo, & J. Huang, ÒA Comparative Analysis of Point Sampling Strategies in Point-based 3D Object Detection,Ó The 5th International  Conference on Image, Video Processing and Artificial Intelligence, IVPAI2023, Dec. 2023
  • Zhang, Y.  and K.F. Li, ÒAn Embedded System Design for Wildlife Detection and Identification,Ó The 6th Asia Conference on Cognitive Engineering and Intelligent Interaction, CEII2023, Dec. 2023
  • Soleimani, P., K.F. Li, D.W. Capson, ÒA Partitioned CAM Architecture with FPGA Acceleration for Binary Descriptor Matching,Ó ACM Transactions on Reconfigurable Technology and Systems, 22 pages, Oct. 2023; DOI: https://dl.acm.org/doi/10.1145/3624749
  • Jing, J., K.F. Li, T. Avant, ÒA Cost-Sensitive Ensemble Model for e-Commerce Customer Behavior Prediction with Weighted SVMÓ CISIS, Jul. 2023
  • Ibrishimova, M., K.F. Li, ÒDiscerning Cyber Threatening Incidents from Ordinary Events Using Sentiment Analysis and Logistic Regression,Ó in Security and Privacy, vol 6, issue 4, Jul. 2023, https://doi.org/10.1002/spy2.69
  • Ibraheam, M., K. F. Li and F. Gebali, "An Accurate and Fast Animal Species Detection System for Embedded Devices," in IEEE Access, vol. 11, pp. 23462-23473, Mar. 2023, doi: 10.1109/ACCESS.2023.3252499
  • Mimura, H., M. Tahara, K. Takano, N. Watanabe, K.F. Li, ÒVideo Indexing for Live Nature Camera on Digital Earth,Ó AINA, Mar. 2023
  • Yoshida, Y., K. Masuda, K. Takano, K.F. Li, ÒUserÕs Emotion Profiling in Web Browsing Behavior,Ó INCoS, Sep. 2022
  • Soleimani, P., K.F. Li, D.W. Capson, ÒA Circular Shifting Binary Descriptor for Efficient Rotation Invariant Image Matching,Ó International Conference on Pattern Recognition, pp. 393-399, Aug. 2022; DOI: 10.1109/ICPR56361.2022
  • Takalloo, L.E., K.F. Li, ÒAn Overview of Emotion Recognition from Body Movement,Ó Vol. 497, Lecture Notes in Networks and Systems, pp. 105-117, Jun. 2022; DOI: 10.1007/978-3-031-08812-4_11
  • Ghaffari, S., D.W. Capson, K.F. Li, ÒA Fully Pipelined FPGA Architecture for Multi-scale BRISK Descriptors with a Novel Hardware-aware Sampling Pattern,Ó IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IF:2.312, 30(6), pp. 826-839, Apr. 2022; DOI: 10.1109/TVLSI.2022.3151896
  • Attarmoghaddam, N., K.F. Li, ÒAn Area-efficient FPGA Implementation of a Real-time Multi-class Classifier for Binary Images,Ó IEEE Transactions on Circuits and Systems II: Express Briefs, IF:3.292, 69(4), 69(4), pp. 2306-2310, Feb. 2022, pp; DOI: 10.1109/TCSII.2022.3148228
  • Abniki, S., K.F. Li, T. Avant, ÒIdentifying Vehicle Exterior Color by Image Processing and Deep Learning,Ó Vol. 118, Lecture Notes on Data Engineering and Communications Technologies, Feb. 2022; DOI: 10.1007/978-3-030-95903-6_46
  • Soleimani, P., D.W. Capson, K.F. Li, ÒReal-time FPGA-based Implementation of the AKAZE Algorithm with Nonlinear Scale Space Generation Using Image Partitioning,Ó Journal of Real-Time Image Processing, IF:2.358, 18, pp. 2123-2134, December 2021. DOI: https://doi.org/10.1007/s11554-021-01089-9
  • Ibraheam, M., K.F. Li, F. Gebali, L.E. Sielecki, ÒA Performance Comparison and Enhancement of Animal Species Detection in Images with Various R-CNN Models,Ó AI, 2(4), pp. 552-577, October 2021. DOI: https://doi.org/10.3390/ai2040034
  • Chi, H.T.K., K. Takano, K.F. Li, ÒA Color Adaptation Method in Picture Story with Emotional Expression of Body Motion,Ó Lecture Notes in Networks and Systems, 277, pp. 625-634, May 2021.
  • Zhang, L., K.F. Li, ÒGender and Academic Performance: A Case Study in Electrical Engineering,Ó Lecture Notes in Networks and Systems, 277, pp. 642-652, May 2021.
  • Uchman, W., J. Kotowicz, K.F. Li, ÒEvaluation of a Micro-Cogeneration Unit with Integrated Electrical Energy Storage for Residential Application,Ó Applied Energy, 282(Part A), IF:9.746, January 2021. DOI: https://doi.org/10.1016/j.apenergy.2020.116196
  • Elhadad, M., K.F. Li, F. Gebali, ÒCOVID-19-FAKES: A Twitter (Arabic/English) Dataset for Detecting Misleading Information on COVID-19,Ó chapter in Advances in Intelligent Network and Collaborative Systems, vol 1264, pp. 256-268, December 2020.
  • Elhadad, M., K.F. Li, F. Gebali, ÒAn Ensemble Deep Learning Technique to Detect COVID-19 Misleading Information,Ó chapter in Advances in Networked-Based Information Systems, vol 1263, pp. 163-175, December 2020.
  • Ghaffario, S., P. Solemani, K.F. Li, D.W. Capson ÒA Novel Hardware-software Co-Design and Implementation of the HOG Algorithm,Ó Sensors, 20(19), October 2020. https://doi.org/10.3390/s20195655
  • Elhadad, M.K., K.F. Li, F. Gebali, ÒDetecting Misleading Information on COVID-19,Ó IEEE Access, pp. 165201-165215, September 2020. 10.1109/ACCESS.2020.3022867
  • Alakari, A., K.F. Li, and F. Gebali, ÒSituation Refinement Model for Complex Event Processing,Ó Knowledge-Based Systems, Vol 198, 15 pages, June 2020. https://doi.org/10.1016/j.knosys.2020.105881
  • Ghaffari, S., P. Soleimani, K.F. Li, D.W. Capson, ÒAnalysis and Comparison of FPGA-based Histogram of Oriented Gradients Implementations,Ó IEEE Access, pp. 79920-79934, April 2020. 10.1109/ACCESS.2020.2989267
  • Zhang, L., and K.F. Li, ÒFactors for Academic Performance Prediction,Ó MAW, April 2020.
  • Ibrahaem, M., F. Gebali, K.F. Li, and L. Sielecki, ÒAnimal Species Recognition Using Deep Learning,Ó AINA, April 2020.
  • Zhang, L., and K.F. Li, ÒA Feasibility Study on Wrist Rehabilitation using the Leap Motion,Ó BWCCA, November 2019.
  • Ibrishimova, M.D., and K.F. Li, ÒIntroducing Connotation Similarity,Ó 3PGCIC, November 2019.
  • Elhadad, M.K. K.F. Li, and F. Gebali, ÒA Novel Approach for Selecting Hybrid Features from Online News Textual Metadata for Fake News Detection,Ó 3PGCIC, November 2019.
  • Ibrishimova, M.D., and K.F. Li, ÒA Machine Learning Approach to Fake News Detection using Knowledge Verification and Natural Language Processing,Ó International Conference on Intelligent Networking and Collaborative Systems, September 2019.
  • Attarmoghaddam, N., and K.F. Li, ÒData Mining Hardware Acceleration for Object Detection,Ó IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, August 2019.
  • Elhadad, M.K. K.F. Li, and F. Gebali, ÒFake News Detection on Social Media: A Systematic Survey,Ó IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, August 2019.
  • Ghaffari, S., Soleimani, P., K.F. Li, and D. Capson, ÒFPGA-based Implementation of HOG Algorithm: Techniques and Challenges,Ó IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, August 2019.
  • Kanan, A., F. Gebali, A. Ibrahim, and K.F. Li, ÒScalable and Parameterizable Processor Array Architecture for Similarity Distance Computation,Ó International Conference on Information and Communication Systems, June, 2019.
  • Ibrishimova, M.D., and K.F. Li, ÒDiscerning Threatening Incidents from Ordinary Events Using Sentiment Analysis and Logistic Regression,Ó Security and Privacy, June, 2019. https://doi.org/10.1002/spy2.69.
  • Kanan, A., F. Gebali, A. Ibrahim, and K.F. Li, ÒLow-Complexity Scalable Architectures for Parallel Computation of Similarity Measures,Ó Scientific Programming, vol. 2019, Article ID 3185137, 11 pages, 2019.https://doi.org/10.1155/2019/3185137
  • Attarmoghaddam, N., K.F. Li, and A. Kanan, ÒFPGA Implementation of Crossover Module of Genetic Algorithm,Ó Information, 10, 184, May 2019. DOI: 10.3390/info10060184.
  • Kanan, A., F. Gebali, A. Ibrahim, and K.F. Li, ÒLinear Processor Array Architectures for Similarity Distance Computation,Ó IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology, April, 2019.
  • Gebali, G., and K.F. Li, ÒDevelopment and Assessment of a Prototype Pedestrian- Cyclist Activated Lighting System on Low Volume Bridges at Wildlife Locations,Ó Industrial Report prepared for Ministry of Transportation and Infrastructure, March 2019.
  • Elhadad, M.K., K.F. Li, and F. Gebali, ÒSentiment Analysis of Arabic and English Tweets,Ó International Symposium on Mining and Web, March 2019.
  • Perera, D.G., and K.F. Li, ÒA Design Methodology for Mobile and Embedded Applications on FPGA-Based Dynamic Reconfigurable Hardware,Ó International Journal of Embedded Systems, August 2019, 11 (5) pp. 661-677. DOI: 10.1504/IJES.2019.10018522
  • Ibrishimova, M.D., and K.F. Li, ÒCyber Incident Classification: Issues and Challenges,Ó International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, November 2018.
  • Zhang, L., K.F. Li, J. Lin, and J. Wang, ÒLeap Motion for Telerehabilitation: A Feasibility Study,Ó 13th International Conference on Broadband and Wireless Computing, Communication, and Applications, October, 2018.
  • Ibrishimova, M.D., and K.F. Li, ÒAutomating Incident Classification Using Sentiment Analysis and Machine Learning,Ó International Conference on Intelligent, Secure and Dependable Systems in distributed and Cloud Environments, LNCS 11317, November 2018. (Best Paper Award)
  • Li, K.F., and A. Kanan, ÒCollection Software Artificial Intelligence: Analysis, Determination of Scope and Initial Implementation,Ó Industrial Report prepared for Comtech Systems Inc. and NSERC, September 2018.
  • Li, K.F., ÒRealizing Artificial Intelligence Concept,Ó Invited Talk, KAIT International Symposium, Kanagawa Institute of Technology, September 2018.
  • Ibrishimova, M., and K.F. Li, ÒImage Ranking Algorithms: How Image Search Engines Work,Ó KAIT International Symposium, Kanagawa Institute of Technology, September 2018.
  • Chaowalit, A., and K.F. Li, ÒCourse Scheduling with Genetic Algorithm,Ó KAIT International Symposium, Kanagawa Institute of Technology, September 2018.
  • Li, K.F., and L. Zhang, ÒMotion Processing and Big Data,Ó International Workshop on Motion Capture and Classification, July 2018.
  • Tsukiji, H., Chi, H., Takano, K., and K.F. Li, ÒClassification of Tennis Swing Motions using Deep Learning,Ó International Workshop on Motion Capture and Classification, July 2018.
  • Li, K.F., and N. Attarmoghaddam, ÒChallenges and Methodologies of Hardware Security,Ó IEEE International Conference on Advanced Information Networking and Applications, May 2018.
  • Zhang, L., and K.F. Li, ÒEducation Analytics: Challenges and Approaches,Ó International Symposium on Mining and Web, May 2018.
  • Xiao, A., K.F. Li, and Y. Zhao, ÒHuman Motion Retrieval based on Feedback Learning,Ó International Symposium on Computational Intelligence and Design, December 2017.
  • Alakari, A., K.F. Li, and F. Gebali, ÒComplex Event Processing Enrichment: Motivations and Challenges,Ó IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, August 2017.
  • Arora, D., and K.F. Li, ÒAnomaly Detection in Cloud Data using Machine Learning Algorithms,Ó International Symposium on Mining and Web, March 2017.
  • Li, K.F., and D. Arora, ÒDetecting Anomalies in the Cloud using Machine Learning Approaches,Ó Industrial Report prepared for SilkStart Technology Inc. and NSERC, January 2017.
  • Li, K.F., J. Fagan, and I. Bourguiba, ÒTeaching Professional Practice and Career Development to Graduate Students,Ó IEEE International Conference on Teaching, Assessment and Learning for Engineering, December 2016.
  • Arora, D., and K.F. Li, ÒIdentifying Prime Customers based on Mobile Usage Patterns,Ó International Workshop on Business Intelligence and Distributed Systems, November 2016.
  • Li, K.F., and D. Arora, ÒDesign of Classification Models for Identifying Telecommunication Devices,Ó Industrial report prepared for Telus Inc. and NSERC, October 2016.
  • Zhu, X., and K.F. Li, ÒReal-time Motion Capture: An Overview,Ó International Workshop on Motion Capture and Classification, July 2016.
  • Xiao, Q, K.F. Li, and R. Song, ÒMotion Retrieval based on Semantic Code and Dynamic Bayesian Network,Ó International Workshop on Motion Capture and Classification, July 2016.
  • Li, K.F., and D. Arora, ÒDesigning Unsupervised Machine Learning Algorithms to Explore User Behaviour Patterns for Online Games,Ó Industrial report prepared for Codename and NSERC, July 2016.
  • Zhu, X., K.F. Li, and H. Chang, ÒOptimizing Path Real-Time Logic for Unified Real-time System,Ó Soft Computing, Springer, pp. 1-15, May 2016.
  • Li, K.F., and D. Arora, ÒDevice Classification for Telecommunication Industry,Ó Industrial report prepared for Mitacs and Telus Inc., April 2016.
  • Arora, D., K.F. Li, and A. Loffler, ÒBig Data Analytics for Classification of Network Enabled Devices,Ó International Symposium on Mining and Web, 6 pages, March 2016.
  • Li, K.F., M. McGuire, and F. Gebali, ÒTeaching Engineering Design in a Four-Course Sequence,Ó IEEE International Conference on Teaching, Assessment, and Learning for Engineering, pp. 288-293, December 2015.
  • Perera, D.G., and K.F. Li, ÒAnalysis of Computational Models and Application Characteristics Suitable for Reconfigurable FPGAs,Ó International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, November 2015. (rate: 30%)
  • Ali, G., and K.F. Li, ÒC2C Web Transaction Reliability,Ó International Symposium on Business Intelligence and Distributed Systems, November 2015.
  • Yang, J., K. Huang, H. Rong, and K.F. Li, ÒA Compression Approach to Reducing Power Consumption of TCAMs in Regular Expression Matching,Ó Computer Communications, Elsevier, volume 70, pages 86-94, October 2015. (online: http://dx.doi.org/10.1016/j.comcom.2015.08.003)
  • Kilinc, K., F. Gebali, and K.F. Li, ÒShip Detection and Property Extraction in Radar Images using Hardware,Ó IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, August 2015.
  • Li, K.F., and D. Arora, ÒDesigning Feature Selection Algorithms for Telecommunications Device Classification,Ó Industrial report prepared for Telus Inc. and NSERC, August 2015.
  • Kasahara, M., Shu Li, K. Takano, and K.F. Li, ÒImplementation and Evaluation of a Spatial Metadata Join Method based on Camera-Viewing Area,Ó 18th International Conference on Network-Based Information Systems, August 2015. (rate: 28%)
  • Li, K.F., and W. Rahayu, Special Section on ÒSupport Technology and Architecture for Networked and Distributed Applications in Big Data Era,Ó Guest Editors, 9 papers, Journal of Supercomputing, Springer, pp. 1-159, May 2015.
  • Fagan, J., and K.F. Li, ÒProfessional Career Planning Curriculum in Engineering Programs,Ó Workshop at Canadian Engineering Education Association Conference, May/June, 2015.
  • McGuire, M., K.F. Li, and F. Gebali, ÒTeaching Design to First-Year Engineering Students,Ó Canadian Engineering Education Association Conference, May/June, 2015.
  • Liu, W., and K.F. Li, Guest Editors, Special Issue on Intelligent Data Analysis and Information Processing, 6 papers, International Journal of Software Engineering and Knowledge Engineering, World Scientific, Volume 25, Issue 03, pp. 423-572, April, 2015. DOI: 10.1142/S0218194015020039
  • Lei, C., and K.F. Li, ÒAcademic Performance Predictors,Ó International Symposium on Mining and Web, 688-699, March 2015.
  • Arora, D., K.F. Li, and S.W. Neville, ÒConsumersÕ Sentiment Analysis of Popular Phone Brands and Operating System Preference Using Twitter Data: A Feasibility Study,Ó Twenty-Eighth IEEE International Conference on Advanced Information Networking and Applications, March 2015. (rate: 27%)
  • Lei, C., and K.F. Li, ÒInvestigating Consumer Behavior Based on Tweet Attributes,Ó International Conference on Biomedical Engineering and Computer Technology, December, 2014.
  • Li, K.F. A.-M. Sevcenco, and L. Cheng, ÒImpact of Sensor Sensitivity in Assistive Environment,Ó Ninth International Conference on Broadband and Wireless Computing, Communication and Applications, IEEE, 161-168, Nov 2014. (rate: 26% Best Paper Award)
  • Li, K.F., and G. Ali, ÒAnatomy of a Consumer Web Transaction,Ó Web Intelligence Congress, IEEE/ACM, Aug 2014.
  • Patch, C., K.F. Li, and B. Gooch, ÒAn Exercise Data Logging System for Retrofitting Gym Equipment,Ó Eighth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, July 2014. (rate: 28%)
  • Li, K.F., ÒEngineering Distributed Intelligence: Issues and Challenges,Ó 2014 International Workshop on Engineering Complex Distributed Systems, July 2014.
  • Ali, G., and K.F. Li, ÒConsumer Transactions on the Web,Ó Seventh International Symposium on Mining and Web, May 2014.
  • Kasahara, M., K. Takano, and K.F. Li, ÒA Personalized Learning System with an Augmented Reality Browser for Ecosystem Fieldwork,Ó 28th IEEE International Conference on Advanced Information Networking and Applications, May 2014. (rate: 26%)
  • Tai, J.S., K.F. Li, and H. Elmiligi, ÒDynamic Time Warping Algorithm: A Hardware Realization in VHDL,Ó IEEE International Conference on IT Convergence and Security, pp. 278-281, 2013.
  • Takano, K., and K.F. Li, ÒA Multimedia Tennis Instruction System: Tracking and Classifying Swing Motions,Ó International Journal of Space-Based and Situated Computing, Volume 3, Number 3, pp. 155-168, 2013.
  • Sevcenco, A.-M., and K.F. Li, ÒPrincipal Component Analysis in Business Intelligence Applications,Ó The Third International Workshop on Business Intelligence and Distributed Systems, 2013.
  • Arora, D., S. Neville, and K.F. Li, ÒMining Business Intelligence for the Telecommunication Industry,Ó The Third International Workshop on Business Intelligence and Distributed Systems, 2013.
  • Perera, D., and K.F. Li, ÒAnalysis of Single-Chip Hardware Support for Mobile and Embedded Applications,Ó IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, pp. 369-376, 2013.
  • Li, K.F., D. Rusk, and F. Song, ÒPredicting Student Academic Performance,Ó Seventh International Conference on Complex, Intelligent, and Software Intensive systems, pp. 27-33, 2013.
  • Li, K.F., A.-M. Sevcenco, E. Yan, ÒTelerehabilitation Using Low-Cost Video Game Controllers,Ó Seventh International Conference on Complex, Intelligent, and Software Intensive systems, pp. 136-143, 2013.
  • Li, K.F., and D.G. Perera, ÒA Hardware Collective Intelligence Agent,Ó Transactions on Computational Collective Intelligence, LNCS 7776, Springer, pp. 45-59, 2013.
  • Li, K.F., and A.-M. Sevcenco, ÒA Feasibility Study on Using Low-Cost Gaming devices for Rehabilitation,Ó Sixth International Symposium on Mining and Web, pp. 219-224, 2013.
  • Li, K.F., and J.S. Tai, ÒDynamic Time Warping in Hardware,Ó Fourteenth International Conference on Information Integration and Web-Based Applications and Services, ACM, pp. 132-137, 2012. (rate: 30%)
  • Takano, K., and K.F. Li, ÒThe Framework of a People Recommender Based on a Time Series of User Preferences,Ó ACM International Conference on Information and Knowledge Management Workshop on Data-driven User Behavioral Modelling and Mining from Social Media, ACM, pp. 13-14, 2012.
  • Sevcenco, A.-M., and K.F. Li, ÒMotion Tracking and Learning in Telerehabilitation ApplicationsÓ International Workshop on Bio-Sensing, Processing, Application and Networking, IEEE, pp. 420-427, 2012.
  • Takano, K., H. Honda, and K.F. Li, ÒUser Preference Profiling Based on Speech Recognition for Personalized Recommendation,Ó Seventh International Conference on Broadband and Wireless Computing, Communication and Applications, IEEE, pp. 308-315, 2012.
  • McKnight, C., C. Stubens, Y. Coady, and K.F. Li, ÒMulti-Server MMO Middleware: Unlocked,Ó International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, pp. 218-225, 2012.
  • Li, K.F., A.-M. Sevcenco, and K. Takano, ÒReal-Time Classification of Sports Movement Using Adaptive Clustering,Ó the Sixth International Conference on Complex, Intelligent, and Software Intensive Systems, pp. 68-75, 2012. (Rate: 25%).
  • Sevcenco, A.-M., K.F. Li, and K. Takano, ÒCollection and Classification of Tennis Swings using a Virtual Racket,Ó the Fourth International Conference on Intelligent Networking and Collaborative Systems, pp. 47-54, 2012. (rate: 28%)
  • Li, K.F., ÒSmart Home Technology for Telemedicine and Emergency Management,Ó Journal of Ambient Intelligence and Humanized Computing, 4(5), pp. 535-546, 2013.
  • Perera, Darshika, Ph.D. Dissertation, ÒChip-Level and Reconfigurable Hardware for Data Mining Applications,Ó Jun 2012.
  • Li, K.F., A. Zielinski, and F. Gebali, ÒCapstone Team Design Projects in Engineering Curriculum: Content and Management,Ó IEEE International Conference on Teaching, Assessment and Learning for Engineering, pp. 41-46, 2012. (rate: 32%)
  • Spalteholz, L., M.A.Sc. thesis, ÒKeySurf Ð A Keyboard Web Navigation System for Persons with Disabilities, April 2012.
  • Li, K.F., A.-M. Sevcenco, and K. Takano, ÒReal-Time Classification of Sports Movement Using Adaptive Clustering,Ó the Sixth International Conference on Complex, Intelligent, and Software Intensive Systems, the Sixth International Conference on Complex, Intelligent, and Software Intensive Systems, pp. 68-75, 2012. DOI 10.1109/CISIS.2012.213 (Rate: 25%).
  • Li, K.F., Y. Wang, and W. Yu, Chapter 7: ÒPersonalised Search Engine Evaluation: Methodologies and MetricsÓ in Web Search Engine Research, editor: D. Lewandowski, Emerald Publishing, pp. 163-202, 2012; doi: 10.1108/S1876-0562(2012)002012a009
  • Takano, K., and K.F. Li, ÒClassifying Sports Gesture Using Event-Based Matching in a Multimedia E-Learning System,Ó Fifth International Symposium on Mining and Web, pp. 833-838, 2012.
  • Li, K.F., and K. Takano, ÒModelling User Behaviour in Recommender Systems Based on Content, Structure, Layout, and Schema,Ó in Learning Structure and Schemas from Documents, M. Biba and F. Xhafa (Eds.), Springer Series in Studies in Computational Intelligence, SCI 375, Chapter 14, pp. 289-313, 2011.
  • Li, K.F., K. Lothrop, E. Gill, and S. Lau, ÒA Web-Based Sign Language Translator Using 3D Video ProcessingÓ, 14th International Conference on Network-Based Information Systems, September 7-9, 2011, pp. 356-361. (rate: 30%)
  • Perera, D.G., and K.F. Li, ÒFPGA-based Reconfigurable Hardware for Compute Intensive Data Mining Applications,Ó the Sixth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 2011, pp. 100-108. (rate: 26%; Best Paper Award)
  • Li, K.F., G. Campbell, A. Kumka, and C. Nesmith, ÒThe Design and Implementation of a Business Intelligence Recommender,Ó the 2nd International Workshop on Business Intelligence and Distributed Systems, 2011 pp. 219-224.
  • Perera, D. and K.F. Li, ÒEmbedded Hardware Solution for Principal Component Analysis,Ó the IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, 2011, pp. 730-735.
  • Li, K.F. and W. Li, ÒA Survey on Home Telemedicine,Ó the Sixth International Conference on Broadband and Wireless Computing, Communication and Applications, 2011, pp. 472-477.
  • Takano, K. and K.F. Li, ÒAn Adaptive Learning Book System based on UserÕs Study Interest,Ó the IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, 2011, pp. 842-847.
  • Li, K.F., K. Takano, and M.G. Johnson, ÒMotion Tracking and Processing for Multimedia Sport E-Learning,Ó the Sixth International Conference on Broadband and Wireless Computing, Communication and Applications, 2011, pp. 75-82. (rate: 27%)
  • Takano, K., K.F. Li and M.G. Johnson, ÒThe Design of a Web-Based Multimedia Sport Instructional System,Ó The 4th International Symposium on Mining and Web, Biopolis, Singapore, March 22-25, 2011, pp. 650-657.
  • Li, K.F., and X. Dong, Guest Editors, Special issue on Communications and Distributed Systems, International Journal on Computer Networks and Distributed Systems, Volume 6, Issue 4, Inderscience, U.K., 6 manuscripts, 79 pages, 2011.
  • McMechan, C., P. So, and K.F. Li, ÒElectronic Stethoscope for eHealth and Telemedicine,Ó the 24th Information Technology and Communications in Health, Victoria, Canada, February 24-27, 2011. (Best Poster Third Place)