{"id":349,"date":"2022-10-27T11:45:17","date_gmt":"2022-10-27T15:45:17","guid":{"rendered":"https:\/\/carleton.ca\/rads\/?page_id=349"},"modified":"2026-03-16T14:24:19","modified_gmt":"2026-03-16T18:24:19","slug":"publications-2021-2022","status":"publish","type":"page","link":"https:\/\/carleton.ca\/rads\/publications-2021-2022\/","title":{"rendered":"Publications 2021-2022"},"content":{"rendered":"\n
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\n Publications 2021-2022\n <\/h1>\n \n \n <\/header>\n\n <\/div>\n\n <\/div>\n\n <\/div>\n<\/section>\n\n\n\n

2021-2022<\/h2>\n\n\n\n

Journal Publications<\/h3>\n\n\n\n
    \n
  1. P. Gavigan, B. Esfandiari, \u201cAgent in a Box: A Framework for Autonomous Mobile Robots with Beliefs, Desires, and Intentions\u201d, Special Issue \u201cIntelligent Control of Mobile Robotics\u201d of Electronics, MDPI, 2021, 10(17), 2136<\/li>\n\n\n\n
  2. A. Zahmatkesh, C.-H. Lung, and T. Kunz, \u201cController Placement in Software-defined Multihop Wireless Networks: Optimal Solution and GA-based Approximation\u201d, Mobile Networks and Applications, Springer, (Special Issue on selected papers from AdHocNets 2020), March 2022, DOI<\/li>\n\n\n\n
  3. A. Raoof, C.-H. Lung, A. Matrawy, \u201cSecuring RPL using Network Coding: The Chained Secure Mode (CSM)\u201d, IEEE Internet of Things Journal, April 2022, pp. 4888\u20134898<\/li>\n\n\n\n
  4. P. F. I. Casas, J. G. I. Subirana, V. G. I. Carrasco, X. P. I. Palom\u00e9s and G. Wainer, \u201cFormal Modeling and Simulation for SARS-CoV-2 Containment Scenarios in Catalonia,\u201d in Computing in Science & Engineering, vol. 24, no. 3, pp. 86-90, 1 May- June 2022<\/li>\n\n\n\n
  5. R. C\u00e1rdenas, G. Wainer \u201cAsymmetric Cell-DEVS Models with the Cadmium Simulator. Simulation Modelling Practice and Theory (Elsevier). In Press. Accepted: August 2022.<\/li>\n\n\n\n
  6. R. C\u00e1rdenas, K. Henares, P. Arroba, J. L. Risco-Martin, G. Wainer \u201cUsing DEVStone as a metric: defining a Method for evaluating performance of Discrete-Event Simulators\u201d, ACM TOMACS \u2013 Transactions on Modeling and Computer Simulation. Vol. 32, No. 3, Article 21. 21:1-21:20. July 2022.<\/li>\n\n\n\n
  7. V. Rajus, N. Arellano, W. O\u2019Brien, S. Fai, G. Wainer, \u201cMitigating the negative impact of new buildings on existing buildings\u2019 user comfort \u2013 A case study analysis\u201d. SIMULATION: Transactions of the Society for Modeling and Simulation International. Accepted: March 2022.<\/li>\n\n\n\n
  8. B. Mello, G. Wainer. \u201cIntegrating I-DEVS and schedulability methods for analyzing real-time systems constraints\u201d SIMULATION: Transactions of the Society for Modeling and Simulation International. Accepted: March 2022.<\/li>\n\n\n\n
  9. A. Al-Habashna*; G. Wainer; M. Aloqaily, \u201cMachine Learning-based Indoor Localization and Occupancy Estimation using 5G Ultra-Dense Networks\u201d. Simulation, Practice and Experience (Elsevier). Accepted: March 2022.<\/li>\n\n\n\n
  10. K. Al-Zoubi; G. Wainer, \u201cA Spatial Modelling Method for Wireless Sensor Networks\u201d. SIMULATION: Transactions of the Society for Modeling and Simulation International. Accepted: February 2022.<\/li>\n\n\n\n
  11. C. Ruiz-Mart\u00edn*, A. Lopez Paredes, G. Wainer., \u201cExploration of Network Theory to Evaluate Organizational Resilience\u201d. International Journal of Mathematical, Engineering and Management Sciences. Volume 7, pp 28-48; 2022. https:\/\/doi.org\/10.33889\/ijmems.2022.7.1.003<\/li>\n\n\n\n
  12. C. Ruiz-Martin, L. Belloli, G. Wainer , \u201cIntegration and Automation of Modeling of Biological Cell Processes\u201d.. Simulation, Practice and Experience (Elsevier). Accepted: September 2021. 45 pages.<\/li>\n\n\n\n
  13. V. Rajus, J. Boi-Ukeme, R. Jiresal, N. Arellano, P. Nojedehi, G. Wainer, S. Fai, L. O\u2019Brien, \u201cMeasured data reliability for building performance and maintenance\u201d, IEEE Instrumentation & Measurement. vol. 25, no. 1, pp. 55-61, February 2022.<\/li>\n\n\n\n
  14. K. Al-Zoubi, G. Wainer, \u201cMobile Experimentation using Modeling and Simulation in the Fog\/Cloud\u201d, Journal of Simulation. Taylor and Francis. Accepted: July 2021.<\/li>\n\n\n\n
  15. G. Wainer, R. C\u00e1rdenas, K. Henares, C. Ruiz-Mart\u00edn, \u201cModeling and Simulation of Space-Based Pandemic Scenarios Using an Open-Source Platform\u201d, IEEE Computing in Science & Engineering (Volume: 23, Issue: 4, pp. 5-6. July-Aug. 1, 2021).<\/li>\n\n\n\n
  16. A.H.F. Silva, A.S. Magalhaes, J.S. Bulhoes, G.A. Wainer, G.P. Furriel, W.P. Calixto, \u201cParametric Regression Applied for Determination of Electrical Parameters of Synchronous and Induction Generators Operating in Parallel on the Electrical Energy Repowering System\u201d, Energies 2021, 14, 3875.<\/li>\n\n\n\n
  17. W. Vilela, A. Coimbra, G. Wainer J. Neto, J. Cararo, M. Reis, P. Santos, W. Calixto, \u201cAnalysis and Adequacy Methodology for Voltage Violations in Distribution Power Grid\u201d. Energies 2021, 14, 4373. July 2021.<\/li>\n\n\n\n
  18. D. Vicino*, G. Wainer, O. Dalle, \u201cUncertainty on Discrete-Event System Simulation\u201d, ACM TOMACS \u2013 Transactions on Modeling and Computer Simulation. Volume 32, Issue 1. pp 1\u201327. January 2022.<\/li>\n\n\n\n
  19. O. Hesham, G. Wainer, \u201cExplicit Modeling of Personal Space for Improved Local Dynamics in Simulated Crowds\u201d, ACM TOMACS \u2013 Transactions on Modeling and Computer Simulation. Volume 31, Issue 4. pp 1\u201329. October 2021.<\/li>\n\n\n\n
  20. O. Hesham, G. Wainer , \u201cAdvanced Models for Centroidal Particle Dynamics: Short- Range Collision-Avoidance in Dense Crowds\u201d, SIMULATION: Transactions of the Society for Modeling and Simulation International. Vol 97, Issue 8, pp. 529-543. August 2021.<\/li>\n\n\n\n
  21. D. Niyonkuru, G. Wainer, \u201cA DEVS Based Engine for Building Digital Quadruplets\u201d. SIMULATION: Transactions of the Society for Modeling and Simulation International. Volume: 97 issue: 7, page(s): 485-506, July 2021.<\/li>\n\n\n\n
  22. Q. Rouland, B. Hamid, and J. Jaskolka. Specification, detection, and treatment of STRIDE threats for software components: Modeling, formal methods, and tool support. Journal of Systems Architecture, 117:102073,August 2021.<\/li>\n\n\n\n
  23. B. Singh, R. Kaur, M. Woodside, J. W. Chinneck,\u201dLow-Power Multi-Cloud Deployment of Large Distributed Service Applications with Response-time Constraints\u201d. Springer Cloud Computing journal (accepted subject to revisions).<\/li>\n\n\n\n
  24. F. Islam, D. Petriu, M. Woodside ,\u201dFocused Layered Performance Modelling by Aggregation\u201d ACM Transactions on Performance (TOMPECS), June 2022.<\/li>\n\n\n\n
  25. D. C. Petriu, \u201cIntegrating the analysis of multiple non-functional properties in model- driven engineering\u201c, Software and Systems Modeling (Expert Voice) (2021) 20(5): 1777\u2013 1791<\/li>\n\n\n\n
  26. S. Bernardi, J. Merseguer, D.C. Petriu, \u201cDependability Modeling of Software Systems with UML and DAM: A Guide for Real-Time Practitioners\u201d. Software 2022, 1, 1\u201318<\/li>\n\n\n\n
  27. D. Zhang, W. Shi, M. St-Hilaire , and R. Yang, \u201cMulti-Access Edge Integrated Networking for Internet of Vehicles: A Blockchain-Based Deep Compressed Cooperative Learning Approach\u201d, to appear in IEEE Transactions on Intelligent Transportation Systems, 2022.<\/li>\n\n\n\n
  28. A. Abada., M. St-Hilaire, and W. Shi., \u201cRebate Auction Mechanisms for Bidirectional Grid Balancing Using Cloud Workload Migrations\u201d, IEEE Access, vol. 10, pp. 78910- 78927, July 2022.<\/li>\n\n\n\n
  29. A. Abada., M. St-Hilaire, and W. Shi, \u201cAuction-Based Scheduling of Excess Energy Consumption to Enhance Grid Upward Flexibility\u201d, IEEE Access, vol. 10, pp. 5944- 5956, January 2022.<\/li>\n\n\n\n
  30. F. Haidar, D. Zhang, M. St-Hilaire. and C. Makaya., \u201cOn the Planning and Design Problem of Fog Computing Networks\u201d, IEEE Transactions on Cloud Computing (IEEE TCC), vol. 9, no. 2, pp. 724-736, April-June 2021.<\/li>\n\n\n\n
  31. M. Li, W. Shi, F. Zhu, Z. Tian, M. Shafiq, Z. Luo, \u201cLarge-capacity Local Multi-dimensional Information Hiding Method for 6G Networks\u201d IEEE Network (Accepted).<\/li>\n\n\n\n
  32. Q. Tan, X. Wang, W. Shi, J. Tang, Z. Tian, \u201cAn Anonymity Vulnerability in Tor\u201d IEEE\/ACM Transactions on Networking. pp 1-14 (Accepted)..<\/li>\n\n\n\n
  33. W. Croft, J.R. Sack, w. Shi, \u201cDifferentially private facial obfuscation via generative adversarial networks\u201d, Future Generation Computer Systems Volume: 129, pp 358-379. 2022.<\/li>\n\n\n\n
  34. D. Yang, D., Y. Zhou, W. Shi, D. Wu, D., C. Ma, F. Yang, F, W. Wang, \u201cRD-IOD: Two- Level Residual Distillation based Triple Network for Incremental Object Detection\u201d, ACM Transactions on Multimedia Computing, Communications, and Applications. 18(1), pp. 1-23, Jan. 2022.<\/li>\n\n\n\n
  35. R. Ahsan, W. Shi, X. Ma, W. Croft, \u201cGAN-based Oversampling for Anomaly Detection\u201d, IET Cyber-Physical Systems: Theory & Applications. 7(1), pp. 40-50. Mar. 2022.<\/li>\n\n\n\n
  36. R. Ahsan, W. Shi, J.-P. Corriveau, Network Intrusion Detection Using Machine Learning Approaches: Addressing Data Imbalance. IET Cyber-Physical Systems: Theory & Applications. 7(1), pp. 30-39. Mar. 2022.<\/li>\n\n\n\n
  37. W.L. Croft, J.-R. Sack and W. Shi, \u201cDifferential Privacy via a Truncated and Normalized Laplace Mechanism\u201d, Journal of Computer Science and Technology (Springer) Volume: 37(2), pp. 1-20. 2022<\/li>\n\n\n\n
  38. Z. Gu, Z., K. Tang, Z. Wang, Y. Li, W. Shi, Z. Tian, Editorial on the Research Topic: Intelligence and Safety for Humanoid Robots: Design, Control, and Applications. Frontiers in Neurorobotics. Dec. 2021.<\/li>\n\n\n\n
  39. W. Croft, J.-R. Sack, W. Shi, \u201cObfuscation of Images via Differential Privacy: From Facial Images to General Images\u201d Journal of Peer-to-Peer Networking and Applications. Issue 3\/2021. ><\/li>\n\n\n\n
  40. W. Croft, J.-R. Sack, W. Shi., \u201cThe Impact of Range Constraints on Utility in the Design of Differentially Private Mechanisms\u201d, Transactions on Data Privacy. 13(3), Dec. 2021.<\/li>\n\n\n\n
  41. D. Xu, W. Shi, W. Zhai, Z. Tian, \u201cMulti-candidate voting model based on blockchain\u201d IEEE\/CAA Journal of Automatica Sinica, vol. 8, no. 12, pp. 1891-1900, Dec. 2021.<\/li>\n\n\n\n
  42. C. Luo, Z. Tan, G. Min, W. Shi, J. Gan, Z. Tian, \u201cA Novel Web Attack Detection System for Internet of Things via Ensemble Classification\u201d IEEE Transactions on Industrial Informatics. 17(8), pp. 5810-5818, August 2021.<\/li>\n\n\n\n
  43. D. Wu, W. Shi, and X. Ma, \u201cA Novel Real-time Anti-Spam Framework\u201d, ACM Transactions on Internet of Things (ACM-TIOT), 21(4), pp. 1-27. Nov. 2021<\/li>\n<\/ol>\n\n\n\n

    Book Chapters<\/h3>\n\n\n\n
      \n
    1. A. Al-Habashna, G. Wainer, \u201cApplication of Device-to-Device Communication in Video Streaming for 5G Wireless Networks\u201d, Advances in Computing, Informatics, Networking and Cybersecurity \u2013 A Book Honoring Professor Mohammad S. Obaidat\u2019s Significant Scientific Contributions. 2021.<\/li>\n\n\n\n
    2. A. Dhillon, S. Majumdar, M. St-Hilaire, A. El-Haraki, A., \u201cComplex Event Processing in Sensor-Based Environments: Edge Computing Frameworks and Techniques\u201d, in Mobile Edge Computing, Springer, (eds: Mukherjee A., De, D., Ghosh, S.K., and Buyya, R.) 2021.<\/li>\n<\/ol>\n\n\n\n

      Conference Publications<\/h3>\n\n\n\n
        \n
      1. P. Gavigan, B. Esfandiari, \u201cQuantifying the Relationship Between Software Design Principles and Performance in Jason\u201d, to appear in Proceedings of Engineering Multi-Agent Systems. EMAS 2022.<\/li>\n\n\n\n
      2. M. Vezina, B. Esfandiari, \u201cEpistemic Reasoning in Jason\u201d, to appear in Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS\u201922), International Foundation for Autonomous Agents and Multiagent Systems, pp1328-1336.<\/li>\n\n\n\n
      3. J. Miller, B. Esfandiari, \u201cAnalysis of the Execution Time of the Jason BDI Reasoning Cycle\u201d, in Proceedings of Engineering Multi-Agent Systems. EMAS 2021. Alechina, N., Baldoni, M., Logan, B. (eds) Lecture Notes in Computer Science, vol 13190. Springer, Cham.<\/li>\n\n\n\n
      4. P. Gavigan, B. Esfandiari, \u201cBDI for Autonomous Mobile Robot Navigation\u201d, in Proceedings of Engineering Multi-Agent Systems. EMAS 2021. Alechina, N., Baldoni, M., Logan, B. (eds) Lecture Notes in Computer Science, vol 13190. Springer, Cham.<\/li>\n\n\n\n
      5. M. Zalat, B. Esfandiari, \u201cPerformance Metrics for State-Based Imitation Learning\u201d, in Proceedings of 34th International Florida Artificial Intelligence Research Society Conference (FLAIRS-34), 2021.<\/li>\n\n\n\n
      6. A. Etedali, C.-H. Lung, and S. Ajila, \u201cComparative Analysis of Genetic Algorithm and XML Filtering Technique for Multi-Tenant SaaS Configuration Management\u201d, Proc. of IEEE 12th Annual Information Technology, Electronics, and Mobile Communications Conf. (IEMCON), Oct 2021.<\/li>\n\n\n\n
      7. A. Raoof, C.-H. Lung, A. Matrawy, \u201c\u2019Integrating 6LoWPAN Security with RPL Using the Chained Secure Mode Framework\u201d, Proc. of the 14th IEEE Int\u2019l Conf. on Internet of Things (iThings), Dec. 2021, pp. 23\u201328.<\/li>\n\n\n\n
      8. D. Saif, C.-H. Lung, A. Matrawy, \u201cAn Early Benchmark of Quality of Experience Between HTTP\/2 and HTTP\/3 using Lighthouse\u201d, Proc. of IEEE International Conference on Communications (ICC): Next-Generation Networking and Internet Symposium, June 2021.<\/li>\n\n\n\n
      9. N. Sendyk, C. Davis, T. Priscu, M. Sutherland, A. Madi, K. Dick, H. Khalil, A. Alkheir, G. Wainer, \u201cA Task-Agnostic Machine Learning Framework for Dynamic Knowledge Graphs\u201d, CASCONxEVOKE. Toronto, ON. 2022.<\/li>\n\n\n\n
      10. M. Al-Saeedi, G. Wainer, \u201cCell-DEVS CO2 Models With Occupants and Ducts\u201d, IEEE\/ACM 26th International Symposium on Distributed Simulation and Real Time Applications (DS-RT). Al\u00e8s, France. 2022.<\/li>\n\n\n\n
      11. A. St-Aubin, G. Wainer, \u201cMetadata Specification for DEVS simulation models\u201d. IEEE\/ACM 26th International Symposium on Distributed Simulation and Real Time Applications (DS-RT). Al\u00e8s, France. 2022.<\/li>\n\n\n\n
      12. J. Horner, T. Trautrim, C. Ruiz-Martin, I. Borschova, G. Wainer, \u201cDiscrete- Event Supervisory Control for the Landing Phase of a Helicopter Flight\u201d. Winter Simulation Conference 2022. Singapore. 2022.<\/li>\n\n\n\n
      13. C. Ruiz-Martin, G. Wainer, \u201cDefining DEVS Models Using the Cadmium Toolkit (Tutorial paper)\u201d. Winter Simulation Conference 2022. Singapore. 2022.<\/li>\n\n\n\n
      14. M. Jamal, J. Boi-Ukeme*, G. Wainer, \u201cController Area Network Discrete-Event System Specification For Independent Node Testing\u201d. SCS\/IEEE\/ACM Annual Simulation Conference, ANNSim 2022. San Diego, CA.<\/li>\n\n\n\n
      15. J. Menard, A. Al-Habashna, G. Wainer and G. Boudreau, \u201cDistributed Resource Allocation In 5G Networks With Multi-Agent Reinforcement Learning\u201d, SCS\/IEEE\/ACM Annual Simulation Conference, ANNSim 2022. San Diego, CA.<\/li>\n\n\n\n
      16. H. Qassud, B. St-Aubin, G. Wainer, \u201cEnabling Collaborative Modeling through a Web Library of DEVS Models\u201d. SCS\/IEEE\/ACM Annual Simulation Conference, ANNSim 2022. San Diego, CA.<\/li>\n\n\n\n
      17. M. Patel, V. Rajus, G. Wainer, \u201cSoftware Architecture for BIM to DEVS Integration\u201d, SCS\/IEEE\/ACM Annual Simulation Conference, ANNSim 2022. San Diego, CA.<\/li>\n\n\n\n
      18. C. Ruiz Martin, N. Patel, G. Wainer, \u201cGeographical SEVIRD COVID-19 Model With Travel Restrictions \u201c, SCS\/IEEE\/ACM Annual Simulation Conference, ANNSim 2022. San Diego, CA.<\/li>\n\n\n\n
      19. L. Colley, A. Dybka, A. Gauthier, J. Laboissonniere, Al Mougeot, N. Mowla, K. Dick, H. Khalil and G. Wainer, \u201cElucidation of the Relationship Between a Song\u2019s Spotify Descriptive Metrics and its Popularity on Various Platforms\u201d, IEEE Computers, Software, and Applications Conference (COMPSAC 2022). Virtual. 2022.<\/li>\n\n\n\n
      20. R. Anilkumar, B. Melone, M. Patsula, C. Tran, C. Wang, K. Dick, H. Khalil and G. Wainer, \u201cCanadian Jobs amid a Pandemic: Examining the Relationship between Professional Industry and Salary to Regional Key Performance Indicators\u201d. IEEE Computers, Software, and Applications Conference (COMPSAC 2022). Virtual. 2022.<\/li>\n\n\n\n
      21. A. Fahlman, C. Ruiz, G. Wainer, P. Dobias, M. Rempel. \u201cExtended Compartmental Models of Covid-19: a Cell-DEVS Definition\u201d. Proceedings of IEEE\/ACM International Symposium on Distributed Simulation and Real-Time Applications DS-RT. Virtual. 2021.<\/li>\n\n\n\n
      22. G. Davidson, G. Wainer, \u201cStudying Covid-19 Spread Using a Geography Based Cellular Model\u201d, Winter Simulation Conference. Phoenix, AZ. 2021.<\/li>\n\n\n\n
      23. Z. Hajj-Ali, G. Wainer, \u201cSpatial Models and Masks in Indoor Analysis for the Spread of COVID-19\u201d, Winter Simulation Conference. Phoenix, AZ. 2021.<\/li>\n\n\n\n
      24. J-B. Ukeme, G. Wainer, \u201cA Workflow for Data-Driven Fault Detection and Diagnosis in Buildings\u201d. Winter Simulation Conference. Phoenix, AZ. 2021.<\/li>\n\n\n\n
      25. G. Trabes*, V. Gil-Costa, G. Wainer, \u201cComplexity Analysis on Flattened PDEVS Simulations\u201d. Winter Simulation Conference. Phoenix, AZ. 2021.<\/li>\n\n\n\n
      26. V. S. Rajus, G. Wainer, L. O\u2019Brien \u201cPersonas to understand buildings occupant behaviour and energy usage\u201d, Building Simulation 2021. IBPSA. Bruges, Belgium. 2021.<\/li>\n\n\n\n
      27. B. St-Aubin, J. Menard, and G. Wainer, \u201cA Web Based Modeling and Simulation Environment to Support the DEVS Simulation Lifecycle\u201d, SCS\/IEEE\/ACM Annual Simulation Conference, ANNSim 2021. Fairfax, VA (Hybrid).<\/li>\n\n\n\n
      28. R. C\u00e1rdenas, A. Inostrosa-Psijas and G. Wainer, \u201cA Modeling and Simulation Platform for Space-Based Compartmental Modeling of Pandemic Spread\u201d. SCS\/IEEE\/ACM Annual Simulation Conference, ANNSim 2021. Fairfax, VA (Hybrid).<\/li>\n\n\n\n
      29. R. C\u00e1rdenas, C. Ruiz, G. Wainer, P. Dobias, M. Rempel. \u201cStudying the Spread of Diseases Using Geographical Data and Irregular Topologies with Cell-DEVS\u201d, SCS\/IEEE\/ACM Annual Simulation Conference, ANNSim 2021. Fairfax, VA (Hybrid).<\/li>\n\n\n\n
      30. B. Earle, A. Al-Habashna, G. Wainer, X. Li and G. Xue, \u201cPrediction Of 5G New Radio Wireless Channel Path Gains And Delays Using Machine Learning And CSI Feedback\u201d. SCS\/IEEE\/ACM Annual Simulation Conference, ANNSim 2021. Fairfax, VA (Hybrid).<\/li>\n\n\n\n
      31. H. Khalil, G. Wainer, \u201cCD2: A Tool For Automation Of Cell-DEVS Carbon Dioxide Diffusion Models\u201d. SCS\/IEEE\/ACM Annual Simulation Conference, ANNSim 2021. Fairfax, VA (Hybrid).<\/li>\n\n\n\n
      32. T. Altamimi, H. Khalil, V. S. Rajus, R. Carriere, G. Wainer, \u201cCell-DEVS models with BIM integration for airborne transmission spread in indoor places\u201d. Symposium on Simulation in Architecture and Urban Design (SimAUD 2021). (virtual). 2021.<\/li>\n\n\n\n
      33. H. Khalil, G. Wainer. \u201cCD2: An Automation Tool for Cell-DEVS CO2 Diffusion Models\u201d, Symposium on Simulation in Architecture and Urban Design (SimAUD 2021). (virtual). 2021.<\/li>\n\n\n\n
      34. V. Rajus, G. Wainer, \u201cA cloud-based workflow for the integration of BIM to DEVS\u201d. Symposium on Simulation in Architecture and Urban Design (SimAUD 2021). (virtual). 2021.<\/li>\n\n\n\n
      35. A. Loor, V. Gil-Costa, G. Wainer, \u201cComparative Study Between Cadmium DEVS and LibCppSim\u201d, International Conference on High Performance Computing & Simulation (HPCS 2021). Barcelona, Spain (virtual). 2021.<\/li>\n\n\n\n
      36. J. Samuel, J. Jaskolka, and G. Yee. Leveraging external data sources to enhance secure system design. In 2021 Reconciling Data Analytics, Automation, Privacy, and Security: A Big Data Challenge (RDAAPS 2021), pages 1\u20138. IEEE, 2021.<\/li>\n\n\n\n
      37. J. Samuel, J. Jaskolka, and G. Yee. Analyzing structural security posture to evaluate system design decisions. In 2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS 2021), pages 8\u201317.<\/li>\n\n\n\n
      38. B. Sereda and J. Jaskolka \u201cAn evaluation of IoT security guidance documents: A shared responsibility perspective\u201d, In Elhadi Shakshuki and Muhammad Younas, editors, Proceedings of the 13th International Conference on Ambient Systems, Networks and Technologies, volume 201C of Procedia Computer Science, ANT 2022, pages 281-288, Porto, Portugal, 2022.<\/li>\n\n\n\n
      39. A. Jawad and J. Jaskolka, \u201cAnalyzing the impact of cyberattacks on industrial control systems using timed automata. In Proceedings of the 21st IEEE International Conference on Software Quality, Reliability, and Security, QRS 2021, pages 966-977, Hainan Island, China, 2021.<\/li>\n\n\n\n
      40. J. Jaskolka, B. Hamid, A. Jawad, and J. Samuel, \u201cA secure development decomposition argument pattern for structured assurance case models. In Proceedings of the 28th Conference on Pattern Languages of Programs, PLoP 2021, pages 1-11, 2021.<\/li>\n\n\n\n
      41. J. Jaskolka, B. Hamid, A. Jawad, and J. Samuel, \u201cA security property decomposition argument pattern for structured assurance case models\u201d, In Proceedings of the 26th European Conference on Pattern Languages of Programs, EuroPLoP 2021, pages 1-10, Graz, Austria, 2021.<\/li>\n\n\n\n
      42. L. Newton and J. Jaskolka, \u201cAnalyzing implicit interactions to identify weak points in cyber-physical system designs\u201d, In Proceedings of the 2021 Resilience Week Symposium, pages 1-8, Salt Lake City, UT, USA, 2021.<\/li>\n\n\n\n
      43. A. Jawad and J. Jaskolka, \u201cModeling and simulation approaches for cybersecurity impact analysis: State-of-the-art\u201d, In Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021, pages 1\u201312, Fairfax, VA, USA, 2021.<\/li>\n\n\n\n
      44. S. A. Ajila and K. Dilliraj, \u201cForecasting Air Pollution using a
        Modified Compositional Learning Approach\u201d, 2021 IEEE International Conference on Big Data (IEEE BigData 2021), International Workshop on Big Data Analytics for Sustainability (BDA4S 2021), Dec. 15 \u2013 18, 2021, pp. 3992 \u2013 4001<\/li>\n\n\n\n
      45. S. A. Ajila, N. Vijay, \u201cEvaluating Deep Neural Nets and Optimized Hyperparameters Random Forest for Decision Support Systems\u201d, 2021 IEEE 22nd International Conference on Information Reuse and Integration for Data Science (IRI), August 10-12, 2021, pp 17 \u2013 24.<\/li>\n\n\n\n
      46. Y. Azimi, S. Yousefi, H. Kalbkhani, and T. Kunz, \u201d Energy-efficient deep reinforcement learning assisted resource allocation for 5G-RAN slicing\u201d, IEEE Transactions on Vehicular Technology, Vol. 71, No. 1, January 2022, pages 856-871.<\/li>\n\n\n\n
      47. Robinson and T. Kunz, \u201cDownlink scheduling in LTE with deep reinforcement learning, LSTMs and pointers\u201d, Proceedings of the 2021 Military Communications Conference (Milcom 2021), San Diego, USA, November 2021.<\/li>\n\n\n\n
      48. S. Zhou, by Siyu Zhou, Murray Woodside \u201cA Robust Approximation for Multiclass Multiserver Queues in Large Microservices Systems\u201d, EPEW 22, Sept 2022.<\/li>\n\n\n\n
      49. D. Zhang, W. Shi, M. St-Hilaire , and R. Yang, \u201cA Blockchain-Based Distributed Pruning Deep Compression Approach for Cooperative Positioning in Internet of Vehicles\u201d, International Wireless Communications and Mobile Computing Conference (IWCMC 2022), Dubrovnik, Croatia, May-June 2022.<\/li>\n\n\n\n
      50. Vrbaski, M., Bolic, M., Majumdar, S. \u201cMulti-objective Optimization for Cloud Provisioning: a Case Study in Large-scale Microservice Notification Applications, Proc. International Conference on Future Internet of Things and Cloud (FiCloud), Rome, Italy, August 2022 (accepted for publication).<\/li>\n\n\n\n
      51. Vrbaski, M., Bolic, M., Majumdar, S. \u201cSCN-DRL: Scheduler for Large-scale Critical Notification Applications based on Deep Reinforcement Learning, Proc. International Conference on Future Internet of Things and Cloud (FiCloud), Rome, Italy, August 2022 (accepted for publication).<\/li>\n\n\n\n
      52. Contreras, J, Majumdar, S. \u201cMethods for Transferring Data from a Compute to a Storage Cloud\u201d, Proc. International Conference on Future Internet of Things and Cloud (FiCloud), Rome, Italy, August 2022 (accepted for publication).<\/li>\n\n\n\n
      53. Davidson, G., Majumdar, S., \u201cSelective Filtering of Large PDF Document Sets: a Performance Oriented Approach\u201d, Proc. The 28th International Conference on Parallel & Distributed Processing Techniques & Applications (PDPTA), Las Vegas, USA, July 2022 (accepted for publication<\/li>\n\n\n\n
      54. Davidson, G., Majumdar, S., \u201cBoolean Logical Operator Driven Selective Data Filtering for Large Datasets\u201d, Proc. Annual Modeling and Simulation Conference (ANNSIM 2022), San Diego, USA, July 2022 (accepted for publication)<\/li>\n\n\n\n
      55. B. Chanda, S. Majumdar. \u201cA Parallel Processing Technique for Extracting and Storing User Specified Data\u201d, Proc. IEEE 8th International Conference on Future Internet of Things and Cloud (FiCloud), Rome, August 2021.<\/li>\n\n\n\n
      56. B. Chanda, S. Majumdar., \u201cA Technique for Extracting User Specified Information from Streaming Data\u201d, Proc. International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS), Online, July 2021.<\/li>\n\n\n\n
      57. M. Abadeer, W. Shi, J.-P. Corriveau, \u201cFLightNER: A Federated Learning Approach to Lightweight Named-Entity Recognition\u201d Proceedings of the 21st International Conference on Trust, Security and Privacy in Computing and Communications IEEE TrustCom 2022, Wuhan, China (accepted).<\/li>\n\n\n\n
      58. T. Yazdizadeh, W. Shi, \u201cPerformance Evaluation for the use of ELMO Word Embedding in Cyberbullying Detection\u201d, Proceedings of the 3rd International Conference on Data Science and Machine Learning (DSML 2022), September 17~18, 2022, Copenhagen, Denmark.<\/li>\n\n\n\n
      59. S. Kadamgode, W. Shi, J.-P. Corriveau, \u201cCyberbullying Detection using Ensemble Method\u201d, Proceedings of the 3rd International Conference on Data Science and Machine Learning (DSML 2022), September 17~18, 2022, Copenhagen, Denmark.<\/li>\n\n\n\n
      60. N. Iliaee, S. Liu, W. Shi, \u201cNon-Intrusive Load Monitoring based Demand Prediction for Smart Meter Attack Detection. Proceedings of the 2021 International Conference on Control, Automation, and Information Sciences (ICCAIS 2021). pp. 370- 374. Oct 14-17, 2021, Xian China.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

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