Publications

Refereed Journal Articles
  1. Sun, S., Lupton, K., Batch, K., Nguyen, H., Gazit, L., Gangai, N., Cho, J., Nicholas, K., Zulkernine, F., Sevilimedu, V., Simpson, A., Do, R., 2021 (revised version submitted). "Natural Language Processing of Large-Scale Structured Radiology Reports to Identify Oncologic Patients With or Without Splenomegaly over a Ten-Year Period" as an original investigation for consideration by JCO Clinical Cancer Informatics.
  2. Qiao, D., Ayesha, A., Zulkernine, F., Masroor, R., and Jaffar, N., 2021 (submitted). "ReViSe: Remote Vital Signs Measurement Using Smartphone Camera", IEEE Transactions on Emerging Topics in Computational Intelligence, Special Issue on Computational Intelligence to Edge AI for Ubiquitous IoT Systems, IEEE.
  3. Zafari, H., Zulkernine, F., Kosowan, L.,Singer, A., 2021 (submitted). "Text Encoding Models for Medical Data Analytics", Expert Systems With Applications, Elsevier.
  4. Zafari, H., Kosowan, L., Zulkernine, F., Langlois, S., Singer, A., 2021, "Automated Assessment of EMR Data for COPD Screening Using Machine Learning Algorithms", Journal of Bio-systems.
  5. Zafari, H., Kosowan, L., Zulkernine F., Singer, A., 2021, "Diagnosing Post-Traumatic Stress Disorder (PTSD) using Electronic Medical Record (EMR) Data: A Retrospective Observational Study", Health Informatics Journal, 2020.
  6. Do, R., Lupton, K., Andrieu, P.C., Luthra, A.; Taya, M., Batch, K., Nguyen, H., Rahurkar, P., Gazit, L., Nicholas, K., Fong, C., Gangai, N., Schultz, N., Zulkernine, F., Sevilimedu, V., Juluru, K., Simpson, A., Hricak, H., 2021. "Patterns of Metastatic Disease in Patients with Cancer Derived from Natural Language Processing of Structured CT Radiology Reports over a Ten-Year Period", Radiology.
  7. Kolisnik, B., Hogan, I., Zulkernine, F., 2021. "Hierarchical Classification of Fashion Images Using Branching Convolutional Neural Networks", Expert Systems With Applications, Elsevier.
  8. Kosowan L, Singer A, Zafari H., Zulkernine F., 2020. "Computational Methods for Identification of PTSD in Health System Data: Protocol for a Scoping Review". OSF. DOI 10.17605\/OSF.IO\/X9H8U Retrieved from osf.io\/ry362
  9. Kalaydina, RV, Zhou, H., Markvicheva, E., Burov, S., Zulkernine, F., Szewczuk, M., 2020, "Impact of fucosylation on self-assembly of prostate and breast tumor spheroids by using cyclo-RGDfK(TPP) peptide and image object detection", OncoTargets and Therapy.
  10. Isah, H., Abughofa, T., Mahfuz, S., Ajerla D., and Zulkernine F., 2019. "Processing Real Time Data Streams: A Survey of Streaming Data Processing Engines", IEEE Access.
  11. Ajerla, D., Mahfuz, S., Zulkernine, F., 2019. "A Real-time Patient Monitoring Framework for Fall Detection". Wireless Communications and Mobile Computing, special issue on Mobile Technologies and Sensor Networks in Healthcare Environments (MSHE). available online at https://doi.org/10.1155/2019/9507938, Hindawi.
  12. Shah, D., Zulkernine, F., 2019. "Stock Market Analysis: Achievements and Progress", International Journal of Financial Studies, MDPI.
  13. Leung, T., Zulkernine, F., Isah, H., 2019. "The Use of Virtual Reality in Enhancing Interdisciplinary Research and Education", Journal of Systemics, Cybernetics and Informatics, vol. 16(6), pp. 4-9, pp. 1690-4524, (Online) http://www.iiisci.org/journal/sci/issue.asp?is=ISS1806
  14. Mian, R., Martin, P., Zulkernine, F., and Vazquez-Poletti, J.L, 2014. "Cost-Effective Resource Configurations for Multi-tenant Database Systems in Public Clouds", International Journal of Cloud Applications and Computing (IJCAC), vol. 5(2), pp 1-22, IGI Global.
  15. Zulkernine, F., and Martin, P, 2010. "An Adaptive and Intelligent SLA Negotiation System for Web Services". IEEE Transactions on Services Computing, vol. 4(1), pp. 31-43, IEEE.
  16. Brohman, M.K., Piccoli, G., Martin, P., Zulkernine, F., Parasuraman, A., and Watson, R., 2009. "A Design Theory Approach to Building Strategic Net-based Customer Service Systems", Decision Sciences Journal (impact factor 2.38), Special Topic Forum: "Advancing Decision Making in Service Innovation", (no inated for 2009 Best Article Award), vol. 40(3), pp. 403-430, Decision Sciences Institute.
  17. Zulkernine, F., Powley, W., Tian, W., Martin, P., Xu, T., and Zebedee, J., 2008. "An Autonomic Web Services Environment using a Reflective and Database-Oriented Approach", Ubiquitous Computing and Communication Journal, Special Issue on Autonomic Computing Systems and Applications, pp.1-12.
Refereed Conference / Workshop Papers
  1. Qiao, D., Zulkernine, F., 2021. "Drivable Area Detection Using Feature Pyramid Networks for Autonomous Driving",IEEE International Conference on Big Data, virtual, IEEE.
  2. Hogan, I., Qiao, D., Luo, R., Moattari, M., Carthy., A., Rivest, F., Zulkernine, F., Brenton. M., 2021, "FireWarn: Recognizing Fire Hazards Using Computer Vision", Best Student Paper Award, IEEE CogMI, vitural, IEEE.
  3. Ayesha, A., Qiao, D., Zulkernine, F., 2021. "Heart Rate Monitoring using PPG with Smartphone Camera", IEEE BIBM 2021 workshop on Artificial Intelligence Techniques for BioMedicine and HealthCare, virtual.
  4. Fu. Z., Fu, Jia., Gu, X., Moattari, M., Zulkernine, F., 2021. "Predicting the Length of Stay of COVID-19 Patients in Hospitals", IEEE International Conference on Bioinformatics and Biomedicine (BIBM), virtual, IEEE.
  5. Chen,Y., Zulkernine, F. 2021. "BIRD-QA: A BERT-based Information Retrieval Approach to Domain Specific Question Answering", The 5th IEEE Workshop on Human-in-the-Loop Methods and Future of Work in BigData (IEEE HMData), virtual.
  6. Lam, J., Chen,Y., Zulkernine, F., Dahan,S. "Detection of Similar Legal Cases on Personal Injury", Best Paper Award, International Workshop on Mining and Learning in the Legal Domain (MLLD-2021), Auckland, New Zealand.
  7. Muthumuni, D., Kosowan, L., Singer, A., Zafari H, Zulkernine F., 2021. "Understanding Post-Traumatic Stress Disorder Using Electronic Medical Records". CFPC Annual Family Medicine Forum, virtual.
  8. Muthumuni, D., Kosowan, L., Singer, A., Zafari, H., Zulkernine, F., Katz, A., Sareen, J., Richardson. J., D., Wong, S., Queenan, J., Wolfrom, B., Williamson, T., 2021. "Characterizing Post-traumatic Stress Disorder in Primary Care Using Electronic Medical Records: a retrospective cross-sectional study". 49th Annual North American Primary Care Research Group (NAPCRG) Conference, virtual.
  9. Abughofa, T., Harby, A., Zulkernine, F., Isah, H., 2021. "Incremental Community Detection in Distributed Dynamic Graph". Best Paper Award in 2021 IEEE Seventh International Conference on Big Data Computing Service and Applications (BigDataService) (pp. 1-8). IEEE., virtual conference.
  10. Zafari, H., Zulkernine, F., 2021. "Chatsum: An Intelligent Medical Chat Summarization Tool", In IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) (IEEE BHI 2021), virtual conference.
  11. Qiao, D., Zulkernine, F., Masroor, R., Rasool, R. and Jaffar, N., 2021. "Measuring Heart Rate and Heart Rate Variability with Smartphone Camera", International Conference on Mobile Data Management (MDM), Toronto, Canada.
  12. Trivedi, P., Zulkernine, F., 2020 (accepted). "Componentry Analysis of Intelligent Transportation Systems in Smart Cities towards a Connected Future", 18th IEEE International Conference on Smart City, Virtual Conference.
  13. Trivedi, P., Zulkernine, F., 2020 (accepted). "Intelligent Transportation System: Managing Pandemic Induced Threats to the People and Economy", IEEE International Conference on Smart City and Informatization, Virtual Conference.
  14. Shi, Y., *Mahfuz, S., Zulkernine, F., ~Nicolls, P., 2020. "An Adapter for IBM Streams and Apache Spark to Facilitate Multi-level Data Analytics", IEEE IEMCON, Vancouver, Canada.
  15. Qiao, D., Zulkernine, F., 2020. "Dilated Squeeze-and-Excitation U-Net for Fetal Ultrasound Image Segmentation", IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), Virtual Conference.
  16. Zafari, H., *Langlois, S., Zulkernine, F., **Kosowan, L., **Singer, A., 2020. "Predicting Chronic Obstructive Pulmonary Disease from EMR data", IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), Virtual Conference.
  17. Qiao, D., Zulkernine, F., 2020 (accepted). "Vision-based Vehicle Detection and Distance Estimation", IEEE Symposium Series of Computational Intelligence (SSCI), virtual conference.
  18. Liu, R., *Isah, H., Zulkernine, F., 2020. "A big data lake for multilevel streaming data analytics", International Conference on Big Data Analytics and Practices (IBDAP), virtual conference.
  19. Montgomery, C., *Isah, H., Zulkernine, F.. "Towards a natural language query processing system", International Conference on Big Data Analytics and Practices (IBDAP), virtual conference.
  20. Nam, D., Yasmin, J., Zulkernine, F., 2020. "Effects of Pre-trained Word Embeddings on Text-based Deception Detection", IEEE International Conference on Pervasive and Intelligent Computation (PICom), Calgary, Canada.
  21. Yin, Y., Zulkernine, F., Dahan, S.*, 2020. "Determining Worker Type from Legal Text Data using Machine Learning", IEEE International Conference on Pervasive and Intelligent Computation (PICom), Best Student Paper AwardCalgary, Canada.
  22. Kandeel, A., Rahmanian, M., Zulkernine, F., Abbas, H.*, and Hassanein, H.*, 2020. "Facial expression recognition using a simplified convolutional neural network model", International Conference on Communications, Signal Processing, and their Applications (ICCSPA’20), Sharjah, United Arab Emirates.
  23. Batch, K., Lupton, K., Sun, S., Gangai, N., Cho, J., Gazit, L., Nguyen, H.*, Zulkernine, F., Do, R.*, Simpson, A.*, 2020. "Using natural language processing to predict splenomegaly from ">"100,000 structured radiology reports". Poster session presented at: IMNO 2020. Proceedings of the 18th annual IMNO Symposium presented by Imaging Network Ontario (ImNO); Toronto, Ontario, Canada.
  24. Chen, H., Mahfuz, S., Zulkernine, F., Nicholls, P., 2019 (submitted). "Smart Phone Based Human Activity Recognition". Proc. of the IEEE International Conference of Machine Learning Applications (ICMLA) special session on machine learning in health, Florida, USA.
  25. Raltson, K, Chen, Y, Isah, H, Zulkernine, F, 2019. "A Voice Interactive Multilingual Student Support System using IBM Watson", Proc. of the IEEE International Conference of Machine Learning Applications (ICMLA) special session on education, Florida, USA.
  26. Wojaczek, A., Kalaydina, R.V., Gasmallah, M., Zulkernine, F., Szewczuk, M., 2019. "Computer Vision for Prostate Cancer Spheroids Detection". In proc. of In proc. of IEEE SSCI symposium on Computational Intelligence in Health Care (CICARE), Xiamen, China.
  27. Emily Kaczmarek, Alexander Salgo, Hasan Zafari, Zulkernine, F., Singer, A., 2019 (accepted). "Diagnosing PTSD Using Electronic Medical Records from Canadian Primary Care Data", In proc. of IEEE Networking, Systems, and Security (NSyS), Dhaka, Bangladesh.
  28. Lam, J., Zulkernine, F., Singer, A., Kosowan, L., 2019 (accepted). "Identifying Patients with PTSD using Deep Learning", poster, in the 10th annual conference hosted by the Canadian Institute for Military and Veteran Health Research (CIMVHR), Ottawa-Gatineau, Canada.
  29. Zafari, H., Zulkernine, F., Singer, A., Kosowan, L., 2019 (accepted). "Weakly Supervised Text Classification for Assisting Patient Data Processing", poster, in the 10th annual conference hosted by the Canadian Institute for Military and Veteran Health Research (CIMVHR), Ottawa-Gatineau, Canada.
  30. Kalaydina, R., Zhou, H., Wojaczek, A., Zulkernine, F., Gasmallah, M., Szewczuk, M., 2019. "Image Object Detection Facilitates the Study of Fucosylation in Multicellular Tumour Spheroids", poster, in proc. of IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology, Siena - Tuscany, Italy.
  31. Ge, S., Isah, H., Zulkernine, F., Khan, S., 2019. "A Scalable Framework for Multilevel Streaming Data Analytics using Deep Learning", In proc. of IEEE COMPSAC workshop DADA, Milwakee, USA.
  32. Gallant, M., Isah, H., Zulkernine, F., 2019. "Xu: An Automated Query Expansion and Optimization Tool", In proc. of IEEE COMPSAC: Data Driven Intelligence for a Smarter World, Milwakee, USA.
  33. Gasmallah, M., Zulkernine, F., Rivest, F., Mousavi, P., Sedghi, A., 2019. "Fully End-To-End Super-Resolved Bone Age Estimation", In proc. of Canadian Artificial Intelligence conference (Can-AI), Kingston, ON, Canada.
  34. Isah, H., Zulkernine, F., 2018. "A scalable and robust framework for data stream ingestion", IEEE International Conference on Big Data, Seattle, USA, IEEE.
  35. Shah, D., Isah, H., Zulkernine, F., 2018. "Predicting the Effects of News Sentiments on the Stock Market", IEEE Intl. Conf. on Big Data workshop on Big Data for Financial News and Data, Seattle, USA, IEEE.
  36. Shah, D., Campbell, W., Zulkernine, F., 2018. "A Comparative Study of LSTM and DNN for Stock Market Forecasting", IEEE International Conference on Big Data in the International Workshop on Big Data for Financial News and Data, Seattle, USA, IEEE.
  37. Bhat, K., Lam, J., Zulkernine, F., 2018 (accepted). "Content-based File Type Identification Using Machine Learning and Spark In-memory Data Analytics Framework", International Conference on Electrical and Computer Engineering, Dhaka, Bangladesh.
  38. Mahfuz, S., Isah, H., Zulkernine, F., Nicholls, P., 2018. "Detecting Irregular Patterns in IOT Streaming Data for Fall Detection", IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), British Columbia, Canada, IEEE.
  39. Kandhari, M., Isah, H., Zulkernine, F., 2018. "A voice operated e-commerce application using IBM Watson speech recognition tools", IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), British Columbia, Canada, IEEE.
  40. Gasmallah, M., Zulkernine, F., 2018. "Predictive Video Object Detector", IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), British Columbia, Canada, IEEE.
  41. Ajerla, D., Mahfuz, S., Zulkernine, F., 2018. "Fall Detection from Physical Activity Monitoring Data", Intl. SIGKDD workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications (BigMine) at Intl. Conf. on Knowledge Discovery and Data Mining (KDD), London, UK, ACM.
  42. Abughofa T., Zulkernine F., 2018. "Sprouter: Dynamic Graph Processing over Data Streams at Scale", Intl. Conf. on Database and Expert Systems Applications, Regensburg, Germany.
  43. Judd, M., Zulkernine, F., Wolfram, B., Rajaram, A., Barber, D., 2018. "Detecting Low Back Pain Using Text Processing and Machine Learning Approaches", Intl. Workshop on Biological Knowledge Discovery from Data (BIOKDD) at the Intl. Conf. on Database and Expert Systems Applications (DEXA), Regensburg, Germany.
  44. Rajaram, A., Judd, M., Farhana Zulkernine, David Barber and Brent Wolfrom, 2018. "Development of a Generalized Text Mining Framework for Characterizing Low Back Pain in Primary Care: A Pilot Study", International Conference on Intelligent Biology and Medicine (ICIBM), CA, USA.
  45. Leung, T., Zulkernine, F., *Isah H, 2018. "The use of Virtual Reality in Enhancing Interdisciplinary Research and Education.", International Multi-Conference on Society, Cybernetics and Informatics (IMSCI), Orlando, FL, USA.
  46. Creighton, J., Zulkernine, F., 2017. "Towards Building a Hybrid Model for Predicting Stock Indexes", Proc. of the Workshop on Big Data for Economic and Business Forecasting in IEEE International Conference on Big Data, Boston, MA, USA.
  47. Alghamdi, H., Zulkernine, F., Martin, P., 2017. "Leveraging Distributed Big Data Storage Support in CLAaaS for WINGS Workflow Management System", Proc. of IEEE International Conference on Big Data (IEEE BigData) Workshop on Scalable Cloud Data Management(SCDM), Boston, USA.
  48. Abughofa, T., Zulkernine, F., 2017. "Online Graph Processing with Spark Streaming", Proc. of the IEEE BigData Workshop on Benchmarking, Performance Tuning and Optimization for Big Data ApplicationsBoston, USA
  49. Poole, A., Zulkernine, F., Aylward, C., 2017. "Lexa: A Tool for Detecting Dyslexia through Auditory Processing", Proc. of the IEEE Symposium on Computational Intelligence (SSCI) in Robotic Rehabilitation and Assistive Technologies (CIR2AT), Honolulu, Hawaii.
  50. Sherar, M., Zulkernine, F., 2017. "Particle Swarm Optimization for Large-Scale Clustering on Apache Spark", Proc. of the IEEE Symposium on Computational Intelligence (SSCI) in Swarm Intelligence Symposium (SIS), Honolulu, Hawaii.
  51. Sherar, M., Bhat, K., Zulkernine, F., 2017. "Implementation of a Particle Swarm Optimization Clustering Algorithm in Apache Spark for High Dimensional Data", Proc. of High Performance Computing Symposium (HPCS), Queen’s University.
  52. Song, G., Vollebregt, M., Zulkernine, F., 2017. "Training Navigation to Virtual Autonomous Race Cars Using NeuroEvolution", Proc. of High Performance Computing Symposium (HPCS), Queen’s University.
  53. Eftekhari, A., Zulkernine, F., Martin, P., 2016. "BINARY: A Framework for Big Data Integration for Ad-hoc Querying", Proc. of the Workshop on Scalable Cloud Data Management IEEE International Conference on Big Data, Washington DC, USA.
  54. Lafreniere, D., Zulkernine, F., Barber, D., Martin, K., 2016. "Using Machine Learning to Predict Hypertension from Big Data", Proc. of the IEEE Symposium on Computational Intelligence (SSCI) in Healthcare and e-health (CICARE), Athens, Greece.
  55. Rhee, T., Zulkernine, F., 2016. "Predicting Movie Box Office Profitability: A Neural Network Approach", Proc. of the workshop on Machine Learning Algorithms Systems and Applications at IEEE International Conference on Machine Learning and Applications (ICMLA), Anaheim, California, USA.
  56. Chan, A., Zulkernine, F., 2016. "ArchiGen: A Conceptual Form Design Tool Using an Evolutionary Computing Approach", Proc. of the Conference of the Center for Advanced Studies (CASCON), Toronto, Canada
  57. Ahmed, T., Zulkernine, F., Cordy, J., 2016. "Proactive Auto-scaling of Resources for Stream Processing Engines in the Cloud", Proc. of the Conference of the Center for Advanced Studies (CASCON) (a paper and a poster), Toronto,
  58. Martin, P., Zulkernine, F., Khalifa, S., Eftekhari, A., Ashtiani, B., Rope, D., McRoberts, M., and Statchuck, C., 2013. "AaaS: Confluence of Big Data, Cloud Computing and SaaS", Proc. of the Conference of the Center for Advanced Studies (CASCON) on Collaborative Research, pp. 392-395 Toronto, Canada.
  59. Zulkernine, F., Martin, P., Powley, W., Soltani, S., Mankovski, S., and Addleman, M., 2013. "CAPRI: A Tool for Mining Complex Line Patterns in Large Log Data", Proc. of the ACM Knowledge Discovery and Data Mining (KDD) workshop BigMine, Chicago, IL, USA.
  60. Zulkernine, F., Martin, P., Zou, Y., Bauer, M., Gwadry-Sridhar, F., Aboulnaga, A., 2013. "Towards Cloud-based Analytics-as-a-Service (CLAaaS) for Big Data Analytics in the Cloud", Proc. of the IEEE Congress on Big Data, Santa Clara, CA, USA.
  61. Mian R., Martin, P., Zulkernine, F., and Vazquez-Poletti, J.L., 2013. "Towards building performance models for data-intensive workloads in public clouds", Proc. of the ACM/SPEC International Conference on Performance Engineering (ICPE), pp. 259-270, ACM, New York, NY, USA.
  62. Mian, R., Martin, P., Zulkernine, F., Vazquez-Poletti, J.L., 2012. "Estimating Costs of Data-intensive Workload Execution in Public Clouds", Proc. of the International workshop on Middleware for Grids, Clouds and e-Science (MGC) in conjunction with ACM/IFIP/USENIX International Middleware Conference, Montreal, Quebec, Canada.
  63. Zulkernine, F., Martin, P., Soltani, S., Powley, W., Mankovski, S., and Addleman, M., 2012. "Towards a Training Oriented Adaptive Decision Support System", Proc. of the IEEE International Conference on Data Engineering (ICDE) workshop on Data-Driven Decision Guidance and Support System (DGSS), pp. 111-120, Washington D.C. USA.
  64. Zulkernine, F.,Bertoli, P., Pistore, M., Friesen, A., Lemcke, J., Thimmel, B., and Von Geisau, O., 2012. "A Constraint-Driven Business Object Model for Service-Based Business Processes", Proc. of the IEEE International Conference on Web Services (ICWS’08) (18% acceptance rate), pp. 1043-1050, IEEE CS, Beijing, China.
  65. Zulkernine, F., Martin, P., and Wilson, K., 2008. "A Middleware Solution to Monitoring Composite Web Services-based Processes". Proc. of theIEEE Congress on Services (SERVICES‘08) Part II at the Workshop on Service Intelligence and Computing (SIC) of the IEEE International Conference on Web Services (ICWS’08), pp. 149-156, IEEE CS, Beijing, China.
  66. Xu, Z., Martin, P., Powley, W., and Zulkernine, F., 2007. "Reputation-Enhanced QoS-based Web Services Discovery". Proc. of the IEEE International Conference on Web Services (ICWS'07) (18% acceptance rate), pp. 249-256, Salt Lake City, Utah, USA.
  67. Zulkernine, F., and Martin, P., 2007. "Conceptual Framework for a Comprehensive Service Management Middleware" (Best Paper Award), Proc. of the International IEEE Workshop on Service Oriented Architectures in Converging Networked Environments (SOCNE) with IEEE Advanced Information on Networking and Applications (AINA), vol. 1, pp. 995-1000, Niagara Falls, Canada.
  68. Tian, W., Zulkernine, F., Zebedee, J., Powley, W., and Martin, P., 2005. " Architecture for an Autonomic Web Services Environment". Proc. of the Joint Workshop on Web Services and Model-Driven Enterprise Information Systems (WSMDEIS) (in conjunction with International Conference on Enterprise Information Systems (ICEIS), pp.32-44, Miami, Florida, USA.
Book
  1. Zulkernine, F. , 2009. Web Services-Based Composite Business Process Management - Service Level Agreement Negotiation and Monitoring: Concepts, Methodologies and Current Practices towards Innovation. Publisher VDM Verlag, available online on Amazon.com. ISBN 978-3-639-20127-7.
Refereed Book Chapters
  1. Lam J., Kosowan L., Zafari H., Peeler W., Gasmallah M., Zulkernine F., Singer A.*, 2020 (submitted). "Using Deep Learning with Canadian Primary Care Data for Disease Diagnosis", Deep Learning for Biomedical Data Analysis: Techniques, Approaches and Application, Part 3, Springer.
  2. Zulkernine, F., and Martin, P., 2009. "Web Services Management: Towards Efficient Web Data Access", (Eds.) Kelley G., Selected Readings on Information Technology Management: Contemporary Issues, Information Science Reference, pp. 404-423, IGI Global, PA, USA.
  3. Zulkernine, F., Martin, P., and Powley, W., 2009. "Autonomic Management of Networked Web Services-based Processes", (Eds.) Denko, M., Yang, L, and Zhang, Y., Autonomic Computing and Networking, part 2, pp. 333-353, Springer, USA.
  4. Zulkernine, F., and Martin, P., 2006. "Web Services Management: Towards Efficient Web Data Access", (Eds.) Vakali, A., and Pallis, G., Web Data Management Practices: Emerging Techniques and Technologies, pp. 266-288, Idea Group of Publishing, PA, USA.
Posters
  1. Wojaczek, A., Gasmallah, M., Zulkernine, F., 2019. "Image Object Detection for Cancer Research", School of Computing Creative Computing Event, Queen’s University.
  2. Montgomery, C., Zafari, H., Zulkernine, F., 2019. "Design and Implementation of a Natural Language Customer Query Platform", School of Computing Creative Computing Event, Queen’s University.
  3. Ge, S., Isah, H., Zulkernine, F., 2019. "Scalable and In-memory Data Stream Analytics Pipeline", School of Computing Creative Computing Event, Queen’s University.
  4. Hogan, I., Gasmallah, M., Zulkernine, F., 2019. "Image component separation in image super resolution", School of Computing Creative Computing Event, Queen’s University.
  5. Raltson, K., Zafari, H., Zulkernine, F., 2019. "An Intelligent Multilingual Chatbot", School of Computing Creative Computing Event, Queen’s University.
  6. Chen, Y., Zulkernine, F., 2019. "An Intelligent Interactive Robotic System", School of Computing Creative Computing Event, Queen’s University.
  7. Weatherhead, A., Dove, D., Zulkernine, F., 2018. "Convolutional Networks for Self-Driving Cars", School of Computing Creative Computing Event, Queen’s University.
  8. Dewar, B., Zulkernine, F., Martin, K., 2018. "Correcting Physical Sign Data in the CPCSSN Database", School of Computing Creative Computing Event, Queen’s University.
  9. Barrette, D., Dove, D., Zulkernine, F., 2018. "Ultrasonic Sensor-Driven Autonomous Vehicle", School of Computing Creative Computing Event, Queen’s University.
  10. Rychlo, L., Zulkernine, F., 2018. "Automation of Lab Reporting to Public Health Ontario: A Cognitive Computing Approach", School of Computing Creative Computing Event, Queen’s University.
  11. Judd, M., Zulkernine, F., 2018, "Detecting Low Back Pain in Electronic Medical Records with Machine Learning", School of Computing Creative Computing Event, Queen’s University.
  12. Petkov, M., Zulkernine, F., 2018. "A Recursive and Adversarial Approach to Single Image Super Resolution", School of Computing Creative Computing Event, Queen’s University.
  13. Gasmallah, M., Zulkernine, F., 2018. "Tracking in Video Object Detection Using Neural Networks", School of Computing Creative Computing Event, Queen’s University.
  14. Sherar, M., Bhat, K., Zulkernine, F., 2017. "Implementation of a Particle Swarm Optimization Clustering Algorithm in Apache Spark for High Dimensional Data", Proc. of High Performance Computing Symposium (HPCS), Queen’s University.
  15. Song, G., Vollebregt, M., Zulkernine, F., 2017. "Training Navigation to Virtual Autonomous Race Cars Using NeuroEvolution", Proc. of High Performance Computing Symposium (HPCS), Queen’s University.
  16. Poole, A., Zulkernine, F., 2017. "Detecting Dyslexia Through Auditory Processing", School of Computing Creative Computing Event, Queen’s University.
  17. Leung, T., Zulkernine, F., 2017. "The Use of Virtual Reality in Education: A Cognitive Approach to Understanding How Learning is Enhanced", School of Computing Creative Computing Event, Queen’s University.
  18. Lansky, A., Zulkernine, F., 2017. "Blockchain in Decentralized Autonomous Multi-agent Systems", School of Computing Creative Computing Event, Queen’s University.
  19. Creighton, J., Zulkernine, F., 2017. "Towards Building a Hybrid Model for Predicting Stock Indexes", School of Computing Creative Computing Event, Queen’s University.
  20. Sherar, M., Zulkernine, F., 2017. "Implementation of a Particle Swarm Optimization Clustering Algorithm in Apache Spark for High Dimensional Data", School of Computing Creative Computing Event, Queen’s University.
  21. Chan, A., Zulkernine, F., 2016. "ArchiGen: Genetic Algorithms for Multi-Objective Design Optimization", School of Computing Creative Computing Event, Queen’s University.
  22. Lafreniere, D., Zulkernine, F., 2016. "Using Machine Learning to Predict Hypertension from Electronic Health Records", School of Computing Creative Computing Event, Queen’s University.
  23. Aylward, C., Zulkernine, F., 2015. "Assistive Technology for Dyslexia", School of Computing Creative Computing Event, Queen’s University.
  24. Fitzpatrick, C., Zulkernine, F., 2015. "Cognitive Science Methods and Video Game Design", School of Computing Creative Computing Event , Queen’s University.
  25. Yeon, S., Zulkernine, F., 2015. " Thinking by Doing: Mental Imagery - Is It Real?", School of Computing Creative Computing Event, Queen’s University.
  26. Zulkernine, F., Martin, P., Soltani, S., Powley, W., Mankovski, S., and Addleman, M., 2011. "Towards a Training Oriented Adaptive Decision Support System", IBM Centers for Advanced Studies Conference (CASCON), Toronto, ON, Canada.
  27. Zulkernine, F., Martin, P., Soltani, S., Powley, W., Mankovski, S., and Addleman, M., 2011. "Towards a Training Oriented Adaptive Decision Support System", MITACS Elevate Research Showcase, Toronto, ON, Canada.
  28. Zulkernine, F., Martin, P., and Wilson, K., and Mankovski, S., 2008. "A Policy-based Negotiation Broker Middleware for Automated SLA Negotiation for Web Services", IBM CASCON, Toronto, ON, Canada.
  29. Zulkernine, F., Martin, P., and Wilson, K., 2007. "A Middleware Solution to Composite Web Process Monitoring", IBM CASCON, Toronto, ON, Canada and at Consortium for Software Engineering Research (CSER) Meeting (June'08), London, ON, Canada.
Demo and Tools
  1. "Cloud-based AaaS (CLAaaS)" on CPCSSN and SELHIN data analytics, 2014, ver. 3, IBM Canada Research and Development Centre (CRDC) and SOSCIP event, MaRS Discovery District, Toronto, ON, Canada.
  2. "Cloud-based Analytics-as-a-Service (CLAaaS)",2013, ver. 2, at IBM Center of Advanced Studies Conference (CASCON), Toronto, ON, Canada.
  3. "CAPRI (Type-CAsted Pattern and Rule mIner): A Tool for Mining Complex Line Patterns in Large Log Data", ACM Knowledge Discovery and Data Mining (KDD) Workshop BigMine, 2013.
  4. "Analytics-as-a-Service (AaaS)", demo ver. 1 with CPCSSN medical data, CASCON 2013.
Research Tools
  1. CAPRI
  2. CLAaaS