Publications


Refereed Journal Articles
  1. 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.
  2. 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.
  3. BrohmanFF, 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", (nominated for 2009 Best Article Award), vol. 40(3), pp. 403-430, Decision Sciences Institute.
  4. 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. Judd, M., Zulkernine, F., Wolfram, B., Rajaram, A., Barber, D., 2018 (submitted). “Detecting Low Back Pain Using Text Processing and Machine Learning Approaches”, Proc. of the IEEE International Conference on Healthcare Informatics (ICHI), New York City, NY, USA.
  2. Leung, T., Zulkernine, F., Isah, H., 2018 (accepted). “The use of Virtual Reality in Enhancing Interdisciplinary Research and Education”, Proc. of the 12th International Multi-Conference on Society, Cybernetics and Informatics (IMSCI 2018), Orlando, FL, USA.
  3. 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.
  4. Abughofa, T., Zulkernine, F., 2017. “Online Graph Processing with Spark Streaming”, Proc. of the Workshop on Benchmarking, Performance Tuning and Optimization for Big Data Applications in IEEE International Conference on Big Data, Boston, MA, USA.
  5. Alghamdi, H., Zulkernine, F., Martin, P., 2017. “Leveraging Distributed Big Data Storage Support in CLAaaS for WINGS Workflow Management System”, Proc. of the Workshop on Scalable Cloud Data Management (SCDM) in IEEE International Conference on Big Data, Boston, MA, USA.
  6. 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.
  7. 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.
  8. Song, G., Vollebregt, M., Zulkernine, F., 2017. “Using NeuroEvolution to Train Virtual Autonomous Vehicles” (poster), Proc. of High Performance Computing Conference, Kingston, ON, Canada.
  9. 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.
  10. 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), Toronto, Canada.
  11. 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.
  12. 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.
  13. 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 at the IEEE International Conference on Big Data, Washington DC, USA.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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 International Conference on Information Technology: New Generations (ITNG), Information Systems and Internet Technology track, pp: 182-188, Las Vegas, Nevada, USA.
  21. Zulkernine, F., Martin, P., Craddock, C., and Wilson, K., 2008. “A Policy-based Middleware for Web Services SLA Negotiation”. Proc. of the IEEE International Conference on Web Services (ICWS’08) (18% acceptance rate), pp. 1043-1050, IEEE CS, Beijing, China.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. Poole, A., Zulkernine, F., Aylward, C., 2017 (submitted). “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.
  27. Sherar, M., Zulkernine, F., 2017 (submitted). “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.
  28. Song, G., Vollebregt, M., Zulkernine, F., 2017 (submitted). “Using NeuroEvolution to Train Virtual Autonomous Vehicles”, Proc. of the Conference of the Center for Advanced Studies (CASCON), Toronto, Canada.
  29. Creighton, J., Zulkernine, F., 2017 (submitted). “Towards Building a Hybrid Model for Predicting Stock Indexes”, Proc. of the Conference of the Center for Advanced Studies (CASCON), Toronto, Canada.
  30. Abughofa, T., Zulkernine, F., 2017 (submitted). “Redis Cloud: Highly Available, Reliable, and Scalable Distributed Datastore”, Proc. of the Conference of the Center for Advanced Studies (CASCON), Toronto, Canada.

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. 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.
  2. 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.
  3. 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. 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.
  2. 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.
  3. Poole, A., Zulkernine, F., 2017. “Detecting Dyslexia Through Auditory Processing”, School of Computing Creative Computing Event, Queen’s University.
  4. 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.
  5. Lansky, A., Zulkernine, F., 2017. “Blockchain in Decentralized Autonomous Multi-agent Systems”, School of Computing Creative Computing Event, Queen’s University.
  6. Creighton, J., Zulkernine, F., 2017. “Towards Building a Hybrid Model for Predicting Stock Indexes”, School of Computing Creative Computing Event, Queen’s University.
  7. 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.
  8. Chan, A., Zulkernine, F., 2016. “ArchiGen: Genetic Algorithms for Multi-Objective Design Optimization”, School of Computing Creative Computing Event, Queen’s University.
  9. Lafreniere, D., Zulkernine, F., 2016. “Using Machine Learning to Predict Hypertension from Electronic Health Records”, School of Computing Creative Computing Event, Queen’s University.
  10. Aylward, C., Zulkernine, F., 2015. “Assistive Technology for Dyslexia”, School of Computing Creative Computing Event, Queen’s University.
  11. Fitzpatrick, C., Zulkernine, F., 2015. “Cognitive Science Methods and Video Game Design”, School of Computing Creative Computing Event , Queen’s University.
  12. Yeon, S. Zulkernine, F., 2015. “ Thinking by Doing: Mental Imagery - Is It Real?”, School of Computing Creative Computing Event, Queen’s University.
  13. 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.
  14. 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.
  15. 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.
  16. 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