2022-2023

Journal Publications

  1. B. Singh, R. Kaur, C.M. Woodside, J.W. Chinneck (2023), “Low‐Power Multi‐Cloud Deployment of Large Distributed Service Applications with Response‐time Constraints”, Journal of Cloud Computing, vol. 12, no. 1, pp. 1‐17. https://doi.org/10.1186/s13677‐022‐00363‐w
  2. J‐D. Medjo Me Biomo, T. Kunz, T., M. St‐Hilaire, “A Novel Routing Protocol for Reducing Packet Delay with Multi‐Beam Antennas”, Computer Networks (Elsevier), vol., 220, no.109479, pp. 1‐14, January 2023.
  3. 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”, IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 11, pp. 21593‐21607, November 2022.
  4. 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.
  5. M. Abuibaid, A. Ghorab, M. St‐Hilaire, B.A. Varga, J. Farkas, I. Moldovan, and M. Mate, “Cloudification of Time‐Sensitive Networking Reliability Functions: Challenges and Potential Solution Directions”, IEEE Communications Standards Magazine, vol. 6, no. 4, pp. 30‐37, 2022.
  6. M. Abuibaid, A. Ghorab, A. Seguin-McPeake, O. Yuen, T. Yungblut and M. St‐Hilaire, “Edge Workloads Monitoring and Failover: A StarlingX‐based Testbed Implementation and Measurement Study”, IEEE Access, vol. 10, pp. 97101‐97116, September 2022.
  7. A. Le Clair, J. Jaskolka, W. MacCaull, and R. Khedri. “Architecture for ontology‐ supported multi‐context reasoning systems” Data & Knowledge Engineering, 140:102044, July 2022.
  8. J. Jaskolka, B. Hamid, and S. Kokaly, “Software design trends supporting multi‐concern assurance”, IEEE Software, 39(4):22–26, July/August 2022.
  9. Z. Zhang, C-H. Lung, X. Wei, M. Chen, S. Chatterjee, and Z. Zhang, “In‐network Caching for ICN‐based IoT (ICN‐IoT): A Comprehensive Survey”, accepted to IEEE Internet of Things Journal, May 2023.
  10. Z. Zhang, X. Wei, C‐H. Lung, Y. Zhao, “iCache: An Intelligent Caching Scheme for Dynamic Network Environments in ICN‐based IoT Networks”, IEEE Internet of Things Journal, vol. 10, no. 2, Jan 2023.
  11. Y. Azimi, S. Yousefi, H. Kalbkhani, and T. Kunz, “Applications of Machine Learning in Resource Management for RAN‐Slicing in 5G and Beyond Networks: A Survey” IEEE Access, Vol. 10, pages, 106581‐106612, October 2022.
  12. F. Islam, D.C. Petriu, M. Woodside, “Focused Layered Performance Modelling by Aggregation”, published in ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS), Vol 7, Issue 2‐4, Article No: 7, pp 1‐23, November 2022,.
  13. 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.

Conference Publications

  1. B. Wubete, T. Triplet, D. Cote, B. Esfandiari, T. Kunz, “Importance of Optical Metrics for IGP Configuration Change Prediction”, to appear in Proceedings of IEEE International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS2023), June 19‐22, 2023, Valencia, Spain.
  2. M. Vezina, B. Esfandiari, F. Schwarzentruber and S. Morley, “Qualitative Uncertainty Reasoning in AgentSpeak”, to appear in Proceedings of 20th European Conference on Multi‐Agent Systems (EUMAS 2023), September 14‐15, 2023, Naples, Italy.
  3. M. Vezina, B. Esfandiari, F. Schwarzentruber and S. Morley, “Reasoning about Uncertainty in AgentSpeak using Dynamic Epistemic Logic”, extended abstract, to appear in Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS’23)
  4. P. Gavigan, B. Esfandiari, “Quantifying the Relationship Between Software Design Principles and Performance in Jason: a Case Study with Simulated Mobile Robots”, to appear in Annals of Mathematics and Artificial Intelligence, Springer, 2023.
  5. R. Mohamed, I. Lambadaris, A. Leivadeas, J.W. Chinneck, T. Morris, and P. Djukic (2023), “Automatic Feasibility Restoration for 5G Cloud Gaming”, IEEE International Conference on Communications (ICC): Communication Software and Multimedia Symposium, 28 May ??? 01 June, Rome, Italy.
  6. G. Yee. Improving the Derivation of Sound Security Metrics. In 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), pages 1804‐1809, 2022.
  7. G. Yee. A Design Approach for Minimizing Data Theft. In 2022 International Conference on Computational Science and Computational Intelligence (CSCI), pages 984–990, 2022
  8. Q. Rouland, B. Hamid, J-P. Bodeveix, and J. Jaskolka, “Formalizing the relationship between security policies and objectives in software architectures” In Proceedings of the 2023 IEEE 20th International Conference on Software Architecture Companion, ICSA‐C 2023, pages 151–158, L’Aquila, Italy, 2023.
  9. S. Alwidian and J. Jaskolka “Understanding the role of human‐related factors in security requirements elicitation”, In Alessio Ferrari and Birgit Penzenstadler, editors, Proceedings of the 29th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2023, volume 13975 of Lecture Notes in Computer Science, pages 65‐74, Barcelona, Spain, 2023.
  10. A. Jawad and J. Jaskolka “Defense models for data recovery in industrial control systems”, In Guy‐Vincent Jourdan, Laurent Mounier, Carlisle Adams, Florence Sèdes, and Joaquin Garcia‐Alfaro, editors, Proceedings of the 15th International Symposium on Foundations & Practice of Security, FPS 2022, volume 13877 of Lecture Notes in Computer Science, pages 198‐216, Ottawa, ON, Canada, 2023.
  11. X. Zhang and J. Jaskolka. “Conceptualizing the secure machine learning operations (SecMLOps) paradigm”, In Proceedings of the 22nd IEEE International Conference on Software Quality, Reliability, and Security, QRS 2022, pages 127‐138, 2022.
  12. M. Zeroual, B. Hamid, M. Adedjouma, and J. Jaskolka, “Towards logical specification of adversarial examples in machine learning”, In Proceedings of the 2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2022, pages 1575‐1580, 2022.
  13. J. Jaskolka and B. Hamid, “Towards the integration of human factors in collaborative decision making for secure architecture design” , In Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022, pages 1‐8, Rochester, MI, USA, 2022.
  14. J. Mendoza, J. Mycroft, L. Milbury, N. Kahani, and J. Jaskolka, “On the effectiveness of data balancing techniques in the context of ML‐based test case prioritization”. In Proceedings of the 18th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2022, pages 72‐81, Singapore, 2022.
  15. X. Zhang and J. Jaskolka, “Security patterns for machine learning: The data‐oriented stages”, In Proceedings of the 27th European Conference on Pattern Languages of Programs, EuroPLoP 2022, pages 1‐12, 2022.
  16. S. Kuri, T. Islam, J. Jaskolka, and M. Ibnkahla, “A threat model and security recommendations for IoT sensors in connected vehicle networks”, In Proceedings of the 2022 IEEE 95th Vehicular Technology Conference, VTC‐Spring 2022, pages 1‐5, Helsinki, Finland, 2022.
  17. A. Jawad, L. Newton, A. Matrawy, and J. Jaskolka, “A formal analysis of the efficacy of rebooting as a countermeasure against IoT botnets. In Proceedings of the 2022 IEEE International Conference on Communications, IEEE ICC 2022, pages 2206‐2211, Seoul, South Korea, 2022.
  18. A. Mutakabbir, C-H. Lung, S. Ajila, M. Zaman, K. Naik, R. Purcell and S. Sampalli, “Spatio‐Temporal Agnostic Deep Learning Modeling of Forest Fire Prediction Using Weather Data”, Proc. of IEEE International Conference on Computers, Software & Applications (COMPSAC), June, 2023.
  19. Y. Wei, R. Paredes Cabrera, C-H. Lung, and S. Ajila, “Pre‐connect Handover Management for 5G Networks”, Proc. of IEEE Future Networks World Forum (FNWF), Oct. 2022.
  20. C. Sai Chebrolu, C-H. Lung, and S. Ajila, “Dynamic Packet Filtering Using Machine Learning”, Proc. of IEEE 23rd International Conference on Information Reuse and Integration for Data Science, Aug 2022.
  21. A. Mutakabbir, C-H. Lung, and A. Ajila, “Analysis of Airfare during Pandemic: A Multi‐Agent Based Modeling Approach”, Proc. of IEEE Workshop on Big Data Workshop Applications of Big Data Technology in the Transport Industry, in cooperation with IEEE International Conference on Big Data (IEEE BigData), pp. 3821–3830, Dec. 2022.
  22. S.T. Sukumar, C-H. Lung, and M. Zaman, “Knowledge Graph Generation for Unstructured Data Using Data Processing Pipeline”, Proc. of IEEE Annual Computer Software and Applications (COMPSAC), June 2023.
  23. R. Narendra Babu, C-H. Lung, and M. Zaman, “Performance Evaluation of Transformer‐ based NLP Models on Fake News Detection Datasets”, Proc. of IEEE Annual Computer Software and Applications (COMPSAC), June 2023.
  24. S. Pham, K. Oliveira, C-H. Lung, “WebAssembly Modules as an Alternative to Docker Containers in IoT Application Development”, Proc. of the 3rd IEEE International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB), April 2023. Accepted one of the Best Paper Awards.
  25. C. Figueroa, T. Knowles, V. Kukreja, and C-H. Lung, “IoT Management with Container Orchestration”, Proc. of the 3rd IEEE International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB), April 2023.
  26. Z. Wang, A. Bittar, C. Huang, C-H. Lung, and G. Shami, “A Web‐based Orchestrator for Dynamic Service Function Chaining Development with Kubernetes”, Proc. of the 8th IEEE International Conference on Network Softwarization (NetSoft 2022), July 2022.
  27. Chung‐Horng Lung and Hesham Elbakoury, “Exploiting Segment Routing and SDN Features for Green Traffic Engineering”, Proc. of the 1st International Workshop on Network Energy Efficiency in the Softwarization Era, in collaboration with the 8th IEEE International Conference on Network Softwarization (NetSoft 2022), July 2022.
  28. A. Mutakabbir, C-H. Lung, S. Ajila, M. Zaman, K. Naik, R. Purcell, S. Sampalli, “Forest Fire Prediction using Multi‐Source Deep Learning”, EAI BDTA 2023 ‐ 13th EAI International Conference on Big Data Technologies and Applications, August 23‐24, 2023, Edinburgh, Great Britain.
  29. S. Ajila, “Have the Factors Affecting Software New Product Development (S‐NPD) Changed in the Age of Mobile Apps and Agile Methods?”, In PICMET ’23 ‐ Managing Technology, Engineering and Manufacturing for a Sustainable World, Monterrey Mexico, July 23 – 27, 2023.
  30. Y. Wei, C-H. Lung, S. Ajila, and R. Paredes Cabrera, “Deep Q‐Networks Assisted Pre‐connect Handover Management for 5G Networks”, IEEE Vehicular Technology Conference (VTC2023‐Spring), Florence, Italy June 20 ‐ 23, 2023
  31. M. Fan, O. Imran, A. Singh, and S. Ajila, “Using CNN‐LSTM Model for Weather Forecasting, 2022 IEEE International Conference on Big Data (Big Data), December 17‐20, 2022, Osaka, Japan, pp 4110 – 4115.
  32. A. Dybka, D. Kocjan, and S. Ajila, “A Semi supervised Approach to Predicting a Twitch Streamer Growth based on the Game Streamed”, 2022 IEEE International Conference on Big Data (Big Data), December 17‐20, 2022, Osaka, Japan, pp 4100 – 4109.
  33. S. Ajila, “Multilayer Meta‐Learning Approach to Forecasting Air Pollutants”, Proceeding of IEEE Conference on Information Reuse and Integration for Data Science”, (IEEE‐IRI‐20220, August 9 – 11, 2022, pp 69 – 74.
  34. F. Blanc, A. Syed, A. Mohammadi Esfahani, S. Reddy Venna, and S. Ajila, “A Deep Learning Sequential‐based Model for Predicting Victories in Video Games”, Proceeding of IEEE Conference on Information Reuse and Integration for Data Science, (IEEE‐IRI‐2022), August 9 – 11, 2022, pp 212 – 213.
  35. L. Li, J‐P. El Rami, A. Taylor, J. Hailing Rao, and T. Kunz, “Enabling a Network AI Gym for Autonomous Cyber Agents”, Proceedings of the 2022 International Conference on Computational Science and Computational Intelligence, Las Vegas, USA, December 2022.
  36. T. Kunz, C. Fisher, J. La Novara‐Gsell, C. Nguyen, and L. Li, “A Multiagent CyberBattleSim for RL Cyber Operation Agents”, Proceedings of the 2022 International Conference on Computational Science and Computational Intelligence, Las Vegas, USA, December 2022.
  37. L. Li, J‐P. El Rami, A. Taylor, J. Hailing Rao, and T. Kunz, “Unified Emulation‐Simulation Training Environment for Autonomous Cyber Agents”, Proceedings of the 5th International Conference on Machine Learning for Networking (MLN’2022), Paris, France, November 2022.
  38. K. Nguyen, W. Shi, and M. St‐Hilaire, “A Dynamic Vehicle‐Ranking Approach for Online Virtual Network Embedding in Internet of Vehicles”, International Telecommunication Networks and Applications Conference (ITNAC 2022), Wellington, New Zealand, Nov 30 ‐ Dec 2, 2022.
  39. K. Nguyen, W. Shi, and M. St‐Hilaire, “Cost‐aware Node Ranking Algorithm for Embedding Virtual Networks in Internet of Vehicles”, 4th EAI International Conference on Artificial Intelligence for Communications and Networks (AICON 2022), Hiroshima, Japan, Nov 30 ‐ Dec 1, 2022.
  40. B. Fatemipour, W. Shi, and M. St‐Hilaire, “A Cost‐Effective and Multi‐Source‐Aware Replica Migration Approach for Geo‐Distributed Data Centers”, IEEE Cloud Summit, Fairfax, Virginia, USA, October 2022.
  41. S. Al Shamaa, N. Harrabida, W. Shi, and M. St‐Hilaire, “Energy‐Efficient Massive MIMO Design: Optimal Number of Antennas Ensuring Guaranteed Bit Rate”, IEEE Cloud Summit, Fairfax, Virginia, USA, October 2022.
  42. D. Zhang, W. Shi, and 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.
  43. J. Contreras, S. Majumdar, “Enhancing the Performance of Inter‐Cloud Data Transfers”, Proc. International Conference on Future Internet of Things and Cloud (FiCloud), Marrakech, Morocco, August 2023.
  44. A. Syed, S. Majumdar, “Techniques for Moment Retrievals and Filtering from Large Volumes of Multimodal Data”, Proc. International Conference on Future Internet of Things and Cloud (FiCloud), Marrakech, Morocco, August 2023.
  45. A, Syed, S. Majumdar, “Techniques for Achieving High Performance in Deep Learning Based Systems for Selective Filtering of Live Video Streams”, Proc. The 28th Int’l Conf on Parallel and Distributed Processing Techniques and Applications (PDPTA), Las Vegas, USA, August 2023.
  46. A. Syed, S. Majumdar, “Parallel Processing Techniques for Analyzing Large Video Files: a Deep Learning Based Approach”, Proc. IEEE 12th International Conference on Big Data and Cloud Computing (BDCloud), Melbourne, Australia, December 2022.
  47. M. Vrbaski, M. Bolic, S. Majumdar,“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.
  48. M. Vrbaski, M. Bolic, S. Majumdar, “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.
  49. J. Contreras, S. Majumdar, “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.
  50. G. Davidson, S. Majumdar, “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.
  51. G. Davidson, S. Majumdar, “Boolean Logical Operator Driven Selective Data Filtering for Large Datasets”, Proc. Annual Modeling and Simulation Conference (ANNSIM 2022), San Diego, USA, July 2022.

Patents

  1. Y. Wei, R. Paredes Cabrera, and C‐H. Lung, “DRL‐based 5G Mobility Optimization”.
  2. B. Wubete, T. Triplet, B. Esfandiari, T. Kunz, D.Cote, “IGP Change Identification Using Gradient Boosted Methods And Importance of Optical Metrics”, United States. Patent Status: Pending, submitted October 2022.
  3. B. Wubete, C. Barber, B. Esfandiari, T. Kunz, “Leveraging temporal‐based datapoints for predicting network events”, filed in 2023.
  4. B. Wubete, T. Triplet, B. Esfandiari, T. Kunz, D. Cote, “Predicting impending change to Interior Gateway Protocol (IGP) metrics”, filed in 2022, application no. 17/992,297.

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