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2021-2022

Journal Publications

1. P. Gavigan, B. Esfandiari, “Agent in a Box: A Framework for Autonomous Mobile Robots with Beliefs, Desires, and Intentions”, Special Issue “Intelligent Control of Mobile Robotics” of Electronics, MDPI, 2021, 10(17), 2136
2. A. Zahmatkesh, C.-H. Lung, and T. Kunz, “Controller Placement in Software-defined Multihop Wireless Networks: Optimal Solution and GA-based Approximation”, Mobile Networks and Applications, Springer, (Special Issue on selected papers from AdHocNets 2020), March 2022, DOI
3. A. Raoof, C.-H. Lung, A. Matrawy, “Securing RPL using Network Coding: The Chained Secure Mode (CSM)”, IEEE Internet of Things Journal, April 2022, pp. 4888–4898
4. P. F. I. Casas, J. G. I. Subirana, V. G. I. Carrasco, X. P. I. Palomés and G. Wainer, “Formal Modeling and Simulation for SARS-CoV-2 Containment Scenarios in Catalonia,” in Computing in Science & Engineering, vol. 24, no. 3, pp. 86-90, 1 May- June 2022
5. R. Cárdenas, G. Wainer “Asymmetric Cell-DEVS Models with the Cadmium Simulator. Simulation Modelling Practice and Theory (Elsevier). In Press. Accepted: August 2022.
6. R. Cárdenas, K. Henares, P. Arroba, J. L. Risco-Martin, G. Wainer “Using DEVStone as a metric: defining a Method for evaluating performance of Discrete-Event Simulators”, ACM TOMACS – Transactions on Modeling and Computer Simulation. Vol. 32, No. 3, Article 21. 21:1-21:20. July 2022.
7. V. Rajus, N. Arellano, W. O’Brien, S. Fai, G. Wainer, “Mitigating the negative impact of new buildings on existing buildings’ user comfort – A case study analysis”. SIMULATION: Transactions of the Society for Modeling and Simulation International. Accepted: March 2022.
8. B. Mello, G. Wainer. “Integrating I-DEVS and schedulability methods for analyzing real-time systems constraints” SIMULATION: Transactions of the Society for Modeling and Simulation International. Accepted: March 2022.
9. A. Al-Habashna*; G. Wainer; M. Aloqaily, “Machine Learning-based Indoor Localization and Occupancy Estimation using 5G Ultra-Dense Networks”. Simulation, Practice and Experience (Elsevier). Accepted: March 2022.
10. K. Al-Zoubi; G. Wainer, “A Spatial Modelling Method for Wireless Sensor Networks”. SIMULATION: Transactions of the Society for Modeling and Simulation International. Accepted: February 2022.
11. C. Ruiz-Martín*, A. Lopez Paredes, G. Wainer., “Exploration of Network Theory to Evaluate Organizational Resilience”. International Journal of Mathematical, Engineering and Management Sciences. Volume 7, pp 28-48; 2022. https://doi.org/10.33889/ijmems.2022.7.1.003
12. C. Ruiz-Martin, L. Belloli, G. Wainer , “Integration and Automation of Modeling of Biological Cell Processes”.. Simulation, Practice and Experience (Elsevier). Accepted: September 2021. 45 pages.
13. V. Rajus, J. Boi-Ukeme, R. Jiresal, N. Arellano, P. Nojedehi, G. Wainer, S. Fai, L. O’Brien, “Measured data reliability for building performance and maintenance”, IEEE Instrumentation & Measurement. vol. 25, no. 1, pp. 55-61, February 2022.
14. K. Al-Zoubi, G. Wainer, “Mobile Experimentation using Modeling and Simulation in the Fog/Cloud”, Journal of Simulation. Taylor and Francis. Accepted: July 2021.
15. G. Wainer, R. Cárdenas, K. Henares, C. Ruiz-Martín, “Modeling and Simulation of Space-Based Pandemic Scenarios Using an Open-Source Platform”, IEEE Computing in Science & Engineering (Volume: 23, Issue: 4, pp. 5-6. July-Aug. 1, 2021).
16. A.H.F. Silva, A.S. Magalhaes, J.S. Bulhoes, G.A. Wainer, G.P. Furriel, W.P. Calixto, “Parametric Regression Applied for Determination of Electrical Parameters of Synchronous and Induction Generators Operating in Parallel on the Electrical Energy Repowering System”, Energies 2021, 14, 3875.
17. W. Vilela, A. Coimbra, G. Wainer J. Neto, J. Cararo, M. Reis, P. Santos, W. Calixto, “Analysis and Adequacy Methodology for Voltage Violations in Distribution Power Grid”. Energies 2021, 14, 4373. July 2021.
18. D. Vicino*, G. Wainer, O. Dalle, “Uncertainty on Discrete-Event System Simulation”, ACM TOMACS – Transactions on Modeling and Computer Simulation. Volume 32, Issue 1. pp 1–27. January 2022.
19. O. Hesham, G. Wainer, “Explicit Modeling of Personal Space for Improved Local Dynamics in Simulated Crowds”, ACM TOMACS – Transactions on Modeling and Computer Simulation. Volume 31, Issue 4. pp 1–29. October 2021.
20. O. Hesham, G. Wainer , “Advanced Models for Centroidal Particle Dynamics: Short- Range Collision-Avoidance in Dense Crowds”, SIMULATION: Transactions of the Society for Modeling and Simulation International. Vol 97, Issue 8, pp. 529-543. August 2021.
21. D. Niyonkuru, G. Wainer, “A DEVS Based Engine for Building Digital Quadruplets”. SIMULATION: Transactions of the Society for Modeling and Simulation International. Volume: 97 issue: 7, page(s): 485-506, July 2021.
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.
23. B. Singh, R. Kaur, M. Woodside, J. W. Chinneck,”Low-Power Multi-Cloud Deployment of Large Distributed Service Applications with Response-time Constraints”. Springer Cloud Computing journal (accepted subject to revisions).
24. F. Islam, D. Petriu, M. Woodside ,”Focused Layered Performance Modelling by Aggregation” ACM Transactions on Performance (TOMPECS), June 2022.
25. D. C. Petriu, “Integrating the analysis of multiple non-functional properties in model- driven engineering“, Software and Systems Modeling (Expert Voice) (2021) 20(5): 1777– 1791
26. S. Bernardi, J. Merseguer, D.C. Petriu, “Dependability Modeling of Software Systems with UML and DAM: A Guide for Real-Time Practitioners”. Software 2022, 1, 1–18
27. D. Zhang, W. Shi, M. St-Hilaire , and R. Yang, “Multi-Access Edge Integrated Networking for Internet of Vehicles: A Blockchain-Based Deep Compressed Cooperative Learning Approach”, to appear in IEEE Transactions on Intelligent Transportation Systems, 2022.
28. A. Abada., M. St-Hilaire, and W. Shi., “Rebate Auction Mechanisms for Bidirectional Grid Balancing Using Cloud Workload Migrations”, IEEE Access, vol. 10, pp. 78910- 78927, July 2022.
29. A. Abada., M. St-Hilaire, and W. Shi, “Auction-Based Scheduling of Excess Energy Consumption to Enhance Grid Upward Flexibility”, IEEE Access, vol. 10, pp. 5944- 5956, January 2022.
30. F. Haidar, D. Zhang, M. St-Hilaire. and C. Makaya., “On the Planning and Design Problem of Fog Computing Networks”, IEEE Transactions on Cloud Computing (IEEE TCC), vol. 9, no. 2, pp. 724-736, April-June 2021.
31. M. Li, W. Shi, F. Zhu, Z. Tian, M. Shafiq, Z. Luo, “Large-capacity Local Multi-dimensional Information Hiding Method for 6G Networks” IEEE Network (Accepted).
32. Q. Tan, X. Wang, W. Shi, J. Tang, Z. Tian, “An Anonymity Vulnerability in Tor” IEEE/ACM Transactions on Networking. pp 1-14 (Accepted)..
33. W. Croft, J.R. Sack, w. Shi, “Differentially private facial obfuscation via generative adversarial networks”, Future Generation Computer Systems Volume: 129, pp 358-379. 2022.
34. D. Yang, D., Y. Zhou, W. Shi, D. Wu, D., C. Ma, F. Yang, F, W. Wang, “RD-IOD: Two- Level Residual Distillation based Triple Network for Incremental Object Detection”, ACM Transactions on Multimedia Computing, Communications, and Applications. 18(1), pp. 1-23, Jan. 2022.
35. R. Ahsan, W. Shi, X. Ma, W. Croft, “GAN-based Oversampling for Anomaly Detection”, IET Cyber-Physical Systems: Theory & Applications. 7(1), pp. 40-50. Mar. 2022.
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.
37. W.L. Croft, J.-R. Sack and W. Shi, “Differential Privacy via a Truncated and Normalized Laplace Mechanism”, Journal of Computer Science and Technology (Springer) Volume: 37(2), pp. 1-20. 2022
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.
39. W. Croft, J.-R. Sack, W. Shi, “Obfuscation of Images via Differential Privacy: From Facial Images to General Images” Journal of Peer-to-Peer Networking and Applications. Issue 3/2021. >
40. W. Croft, J.-R. Sack, W. Shi., “The Impact of Range Constraints on Utility in the Design of Differentially Private Mechanisms”, Transactions on Data Privacy. 13(3), Dec. 2021.
41. D. Xu, W. Shi, W. Zhai, Z. Tian, “Multi-candidate voting model based on blockchain” IEEE/CAA Journal of Automatica Sinica, vol. 8, no. 12, pp. 1891-1900, Dec. 2021.
42. C. Luo, Z. Tan, G. Min, W. Shi, J. Gan, Z. Tian, “A Novel Web Attack Detection System for Internet of Things via Ensemble Classification” IEEE Transactions on Industrial Informatics. 17(8), pp. 5810-5818, August 2021.
43. D. Wu, W. Shi, and X. Ma, “A Novel Real-time Anti-Spam Framework”, ACM Transactions on Internet of Things (ACM-TIOT), 21(4), pp. 1-27. Nov. 2021

Book Chapters

1. A. Al-Habashna, G. Wainer, “Application of Device-to-Device Communication in Video Streaming for 5G Wireless Networks”, Advances in Computing, Informatics, Networking and Cybersecurity – A Book Honoring Professor Mohammad S. Obaidat’s Significant Scientific Contributions. 2021.
2. A. Dhillon, S. Majumdar, M. St-Hilaire, A. El-Haraki, A., “Complex Event Processing in Sensor-Based Environments: Edge Computing Frameworks and Techniques”, in Mobile Edge Computing, Springer, (eds: Mukherjee A., De, D., Ghosh, S.K., and Buyya, R.) 2021.

Conference Publications

1. P. Gavigan, B. Esfandiari, “Quantifying the Relationship Between Software Design Principles and Performance in Jason”, to appear in Proceedings of Engineering Multi-Agent Systems. EMAS 2022.
2. M. Vezina, B. Esfandiari, “Epistemic Reasoning in Jason”, to appear in Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS’22), International Foundation for Autonomous Agents and Multiagent Systems, pp1328-1336.
3. J. Miller, B. Esfandiari, “Analysis of the Execution Time of the Jason BDI Reasoning Cycle”, 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.
4. P. Gavigan, B. Esfandiari, “BDI for Autonomous Mobile Robot Navigation”, 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.
5. M. Zalat, B. Esfandiari, “Performance Metrics for State-Based Imitation Learning”, in Proceedings of 34th International Florida Artificial Intelligence Research Society Conference (FLAIRS-34), 2021.
6. A. Etedali, C.-H. Lung, and S. Ajila, “Comparative Analysis of Genetic Algorithm and XML Filtering Technique for Multi-Tenant SaaS Configuration Management”, Proc. of IEEE 12th Annual Information Technology, Electronics, and Mobile Communications Conf. (IEMCON), Oct 2021.
7. A. Raoof, C.-H. Lung, A. Matrawy, “’Integrating 6LoWPAN Security with RPL Using the Chained Secure Mode Framework”, Proc. of the 14th IEEE Int’l Conf. on Internet of Things (iThings), Dec. 2021, pp. 23–28.
8. D. Saif, C.-H. Lung, A. Matrawy, “An Early Benchmark of Quality of Experience Between HTTP/2 and HTTP/3 using Lighthouse”, Proc. of IEEE International Conference on Communications (ICC): Next-Generation Networking and Internet Symposium, June 2021.
9. N. Sendyk, C. Davis, T. Priscu, M. Sutherland, A. Madi, K. Dick, H. Khalil, A. Alkheir, G. Wainer, “A Task-Agnostic Machine Learning Framework for Dynamic Knowledge Graphs”, CASCONxEVOKE. Toronto, ON. 2022.
10. M. Al-Saeedi, G. Wainer, “Cell-DEVS CO2 Models With Occupants and Ducts”, IEEE/ACM 26th International Symposium on Distributed Simulation and Real Time Applications (DS-RT). Alès, France. 2022.
11. A. St-Aubin, G. Wainer, “Metadata Specification for DEVS simulation models”. IEEE/ACM 26th International Symposium on Distributed Simulation and Real Time Applications (DS-RT). Alès, France. 2022.
12. J. Horner, T. Trautrim, C. Ruiz-Martin, I. Borschova, G. Wainer, “Discrete- Event Supervisory Control for the Landing Phase of a Helicopter Flight”. Winter Simulation Conference 2022. Singapore. 2022.
13. C. Ruiz-Martin, G. Wainer, “Defining DEVS Models Using the Cadmium Toolkit (Tutorial paper)”. Winter Simulation Conference 2022. Singapore. 2022.
14. M. Jamal, J. Boi-Ukeme*, G. Wainer, “Controller Area Network Discrete-Event System Specification For Independent Node Testing”. SCS/IEEE/ACM Annual Simulation Conference, ANNSim 2022. San Diego, CA.
15. J. Menard, A. Al-Habashna, G. Wainer and G. Boudreau, “Distributed Resource Allocation In 5G Networks With Multi-Agent Reinforcement Learning”, SCS/IEEE/ACM Annual Simulation Conference, ANNSim 2022. San Diego, CA.
16. H. Qassud, B. St-Aubin, G. Wainer, “Enabling Collaborative Modeling through a Web Library of DEVS Models”. SCS/IEEE/ACM Annual Simulation Conference, ANNSim 2022. San Diego, CA.
17. M. Patel, V. Rajus, G. Wainer, “Software Architecture for BIM to DEVS Integration”, SCS/IEEE/ACM Annual Simulation Conference, ANNSim 2022. San Diego, CA.
18. C. Ruiz Martin, N. Patel, G. Wainer, “Geographical SEVIRD COVID-19 Model With Travel Restrictions “, SCS/IEEE/ACM Annual Simulation Conference, ANNSim 2022. San Diego, CA.
19. L. Colley, A. Dybka, A. Gauthier, J. Laboissonniere, Al Mougeot, N. Mowla, K. Dick, H. Khalil and G. Wainer, “Elucidation of the Relationship Between a Song’s Spotify Descriptive Metrics and its Popularity on Various Platforms”, IEEE Computers, Software, and Applications Conference (COMPSAC 2022). Virtual. 2022.
20. R. Anilkumar, B. Melone, M. Patsula, C. Tran, C. Wang, K. Dick, H. Khalil and G. Wainer, “Canadian Jobs amid a Pandemic: Examining the Relationship between Professional Industry and Salary to Regional Key Performance Indicators”. IEEE Computers, Software, and Applications Conference (COMPSAC 2022). Virtual. 2022.
21. A. Fahlman, C. Ruiz, G. Wainer, P. Dobias, M. Rempel. “Extended Compartmental Models of Covid-19: a Cell-DEVS Definition”. Proceedings of IEEE/ACM International Symposium on Distributed Simulation and Real-Time Applications DS-RT. Virtual. 2021.
22. G. Davidson, G. Wainer, “Studying Covid-19 Spread Using a Geography Based Cellular Model”, Winter Simulation Conference. Phoenix, AZ. 2021.
23. Z. Hajj-Ali, G. Wainer, “Spatial Models and Masks in Indoor Analysis for the Spread of COVID-19”, Winter Simulation Conference. Phoenix, AZ. 2021.
24. J-B. Ukeme, G. Wainer, “A Workflow for Data-Driven Fault Detection and Diagnosis in Buildings”. Winter Simulation Conference. Phoenix, AZ. 2021.
25. G. Trabes*, V. Gil-Costa, G. Wainer, “Complexity Analysis on Flattened PDEVS Simulations”. Winter Simulation Conference. Phoenix, AZ. 2021.
26. V. S. Rajus, G. Wainer, L. O’Brien “Personas to understand buildings occupant behaviour and energy usage”, Building Simulation 2021. IBPSA. Bruges, Belgium. 2021.
27. B. St-Aubin, J. Menard, and G. Wainer, “A Web Based Modeling and Simulation Environment to Support the DEVS Simulation Lifecycle”, SCS/IEEE/ACM Annual Simulation Conference, ANNSim 2021. Fairfax, VA (Hybrid).
28. R. Cárdenas, A. Inostrosa-Psijas and G. Wainer, “A Modeling and Simulation Platform for Space-Based Compartmental Modeling of Pandemic Spread”. SCS/IEEE/ACM Annual Simulation Conference, ANNSim 2021. Fairfax, VA (Hybrid).
29. R. Cárdenas, C. Ruiz, G. Wainer, P. Dobias, M. Rempel. “Studying the Spread of Diseases Using Geographical Data and Irregular Topologies with Cell-DEVS”, SCS/IEEE/ACM Annual Simulation Conference, ANNSim 2021. Fairfax, VA (Hybrid).
30. B. Earle, A. Al-Habashna, G. Wainer, X. Li and G. Xue, “Prediction Of 5G New Radio Wireless Channel Path Gains And Delays Using Machine Learning And CSI Feedback”. SCS/IEEE/ACM Annual Simulation Conference, ANNSim 2021. Fairfax, VA (Hybrid).
31. H. Khalil, G. Wainer, “CD2: A Tool For Automation Of Cell-DEVS Carbon Dioxide Diffusion Models”. SCS/IEEE/ACM Annual Simulation Conference, ANNSim 2021. Fairfax, VA (Hybrid).
32. T. Altamimi, H. Khalil, V. S. Rajus, R. Carriere, G. Wainer, “Cell-DEVS models with BIM integration for airborne transmission spread in indoor places”. Symposium on Simulation in Architecture and Urban Design (SimAUD 2021). (virtual). 2021.
33. H. Khalil, G. Wainer. “CD2: An Automation Tool for Cell-DEVS CO2 Diffusion Models”, Symposium on Simulation in Architecture and Urban Design (SimAUD 2021). (virtual). 2021.
34. V. Rajus, G. Wainer, “A cloud-based workflow for the integration of BIM to DEVS”. Symposium on Simulation in Architecture and Urban Design (SimAUD 2021). (virtual). 2021.
35. A. Loor, V. Gil-Costa, G. Wainer, “Comparative Study Between Cadmium DEVS and LibCppSim”, International Conference on High Performance Computing & Simulation (HPCS 2021). Barcelona, Spain (virtual). 2021.
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 1–8. IEEE, 2021.
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 8–17.
38. B. Sereda and J. Jaskolka “An evaluation of IoT security guidance documents: A shared responsibility perspective”, 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.
39. A. Jawad and J. Jaskolka, “Analyzing 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.
40. J. Jaskolka, B. Hamid, A. Jawad, and J. Samuel, “A 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.
41. J. Jaskolka, B. Hamid, A. Jawad, and J. Samuel, “A security property decomposition argument pattern for structured assurance case models”, In Proceedings of the 26th European Conference on Pattern Languages of Programs, EuroPLoP 2021, pages 1-10, Graz, Austria, 2021.
42. L. Newton and J. Jaskolka, “Analyzing implicit interactions to identify weak points in cyber-physical system designs”, In Proceedings of the 2021 Resilience Week Symposium, pages 1-8, Salt Lake City, UT, USA, 2021.
43. A. Jawad and J. Jaskolka, “Modeling and simulation approaches for cybersecurity impact analysis: State-of-the-art”, In Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021, pages 1–12, Fairfax, VA, USA, 2021.
44. S. A. Ajila and K. Dilliraj, “Forecasting Air Pollution using a
    Modified Compositional Learning Approach”, 2021 IEEE International Conference on Big Data (IEEE BigData 2021), International Workshop on Big Data Analytics for Sustainability (BDA4S 2021), Dec. 15 – 18, 2021, pp. 3992 – 4001
45. S. A. Ajila, N. Vijay, “Evaluating Deep Neural Nets and Optimized Hyperparameters Random Forest for Decision Support Systems”, 2021 IEEE 22nd International Conference on Information Reuse and Integration for Data Science (IRI), August 10-12, 2021, pp 17 – 24.
46. Y. Azimi, S. Yousefi, H. Kalbkhani, and T. Kunz, ” Energy-efficient deep reinforcement learning assisted resource allocation for 5G-RAN slicing”, IEEE Transactions on Vehicular Technology, Vol. 71, No. 1, January 2022, pages 856-871.
47. Robinson and T. Kunz, “Downlink scheduling in LTE with deep reinforcement learning, LSTMs and pointers”, Proceedings of the 2021 Military Communications Conference (Milcom 2021), San Diego, USA, November 2021.
48. S. Zhou, by Siyu Zhou, Murray Woodside “A Robust Approximation for Multiclass Multiserver Queues in Large Microservices Systems”, EPEW 22, Sept 2022.
49. D. Zhang, W. Shi, M. St-Hilaire , and R. Yang, “A Blockchain-Based Distributed Pruning Deep Compression Approach for Cooperative Positioning in Internet of Vehicles”, International Wireless Communications and Mobile Computing Conference (IWCMC 2022), Dubrovnik, Croatia, May-June 2022.
50. Vrbaski, M., Bolic, M., Majumdar, S. “Multi-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).
51. Vrbaski, M., Bolic, M., Majumdar, S. “SCN-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).
52. Contreras, J, Majumdar, S. “Methods for Transferring Data from a Compute to a Storage Cloud”, Proc. International Conference on Future Internet of Things and Cloud (FiCloud), Rome, Italy, August 2022 (accepted for publication).
53. Davidson, G., Majumdar, S., “Selective Filtering of Large PDF Document Sets: a Performance Oriented Approach”, Proc. The 28th International Conference on Parallel & Distributed Processing Techniques & Applications (PDPTA), Las Vegas, USA, July 2022 (accepted for publication
54. Davidson, G., Majumdar, S., “Boolean Logical Operator Driven Selective Data Filtering for Large Datasets”, Proc. Annual Modeling and Simulation Conference (ANNSIM 2022), San Diego, USA, July 2022 (accepted for publication)
55. B. Chanda, S. Majumdar. “A Parallel Processing Technique for Extracting and Storing User Specified Data”, Proc. IEEE 8th International Conference on Future Internet of Things and Cloud (FiCloud), Rome, August 2021.
56. B. Chanda, S. Majumdar., “A Technique for Extracting User Specified Information from Streaming Data”, Proc. International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS), Online, July 2021.
57. M. Abadeer, W. Shi, J.-P. Corriveau, “FLightNER: A Federated Learning Approach to Lightweight Named-Entity Recognition” Proceedings of the 21st International Conference on Trust, Security and Privacy in Computing and Communications IEEE TrustCom 2022, Wuhan, China (accepted).
58. T. Yazdizadeh, W. Shi, “Performance Evaluation for the use of ELMO Word Embedding in Cyberbullying Detection”, Proceedings of the 3rd International Conference on Data Science and Machine Learning (DSML 2022), September 17~18, 2022, Copenhagen, Denmark.
59. S. Kadamgode, W. Shi, J.-P. Corriveau, “Cyberbullying Detection using Ensemble Method”, Proceedings of the 3rd International Conference on Data Science and Machine Learning (DSML 2022), September 17~18, 2022, Copenhagen, Denmark.
60. N. Iliaee, S. Liu, W. Shi, “Non-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.