RESEARCH OUTPUT

Peer-Reviewed Journal Articles

    1. Rivera, L. F., Jiménez, M., Villegas, N. M., Tamura, G., & Müller, H. A. (2021). Designing Run-time Evolution for Dependable and Resilient Cyber-Physical Systems Using Digital Twins. Transactions of the SDPS: Journal of Integrated Design and Process Science. Pre-press(pre-press), 1-32.
    2. Chaudhary, M., Adams, M. S., Mukhopadhyay, S., Litoiu, M., & Sergio, L. E. (2021). Sabotage Detection Using Deep Learning Models on EEG Data from Cognitive-Motor Integration Task. Frontiers in Human Neuroscience, section Brain-Computer Interfaces. https://doi.org/10.3389/fnhum.2021.662875.
    3. Rivera, L. F., Jiménez, M., Villegas, N. M., Tamura, G., & Müller, H. A. (2021). The Forging of Autonomic and Cooperating Digital Twins. IEEE Internet Computing. doi: 10.1109/MIC.2021.3051902.
    4. Pechlivanoglou, T., Li, J., Sun, J., Heidari, F., & Papagelis, M. (2020). Epidemic Spreading in Trajectory Networks. Big Data Research.
    5. Golestan, S., Nikolaidis, I., & Stroulia, E. (2020). Towards a Simulation Framework for Smart Indoor Spaces. Sensors.
    6. Quinn, C. & McArthur, J. (2020). A Case Study Comparing the Completeness and Expressiveness of Two Industry-Recognized Ontologies. Advanced Engineering Informatics.
    7. Quinn, C., Shabestari, A., Misic, T., Gilani, S., Litoiu, M., & McArthur, J. (2020). Building Automation System-BIM Integration Using a Linked Data Structure. Automation in Construction.
    8. Madani, P., Vlajic, N., & Sadeghpour, S. (2020). MAC-Layer Spoofing Detection and Prevention in IoT Systems: Randomized Moving Target Approach, ACM CCS-CSPIoTSec.
    9. Heidari, F. & Papagelis, M. (2020). Evolving Network Representation Learning Based on Random Walks. Applied Network Science.
    10. Gilani, S., Quinn, C., & McArthur, J. (2020). A Review of Ontologies Within the Domain of Smart and Ongoing Commissioning. Building and Environment.
    11. Vlajic, N., Chowdhury, M., & Litoiu, M. (2019). IP Spoofing in and Out of the Public Cloud: From Policy to Practice. MDIP Computers Journal.
    12. Gerostathopoulos, I., Konersmann, M., Krusche, S., Mattos, D. I., Bosch, J., Bures, T., Fitzgerald, B., Goedicke, M., Muccini, H., Olsson, H. H., Brand, T., Chatley, R., Diamantopoulos, N., Friedman, A., Jiménez, M., Johanssen, J. O., Manggala, P., Koseki, M., Melegati, J., Munaiah, N., Tamura, G., Theodorou, V., Wong, J., & Figalist, I. (2019). Continuous Data-Driven Software Engineering – Towards a Research Agenda. ACM SIGSOFT Software Engineering Notes.
    13. Bindra, L., Eng, K., Ardakanian, O., & Stroulia, E. (2019). Flexible, Decentralized Access Control for Smart Buildings with Smart Contracts. ACM Transactions on Cyber Physical Systems.
    14. Sawas, A., Abuolaim, A., Afifi, M., & Papagelis, M. (2019). A Versatile Computational Framework for Group Pattern Mining of Pedestrian Trajectories. GeoInformatica.
    15. Golestan, S., Petcovici, A., Nikolaidis, I., & Stroulia, E. (2019). Simulation-Based Deployment Configuration of Smart Indoor Spaces, Internet of Things (WF-IoT). IEEE World Forum.
    16. Vlajic, N., Madani, P., & Nguyen, E. (2018). Clickstream Tracking of TOR Users: May Be Easier Than You Think. Journal of Cyber Security Technology.
    17. Pechlivanoglou T, Li J, Sun J, Heidari F, Papagelis M. Epidemic spreading in trajectory networks. Big Data Research. 2022 Feb 28;27:100275.
    18. Heidari F, Papagelis M. Evolving network representation learning based on random walks. Applied network science. 2020 Mar 18;5(1):18.
    19. Sawas A, Abuolaim A, Afifi M, Papagelis M. A versatile computational framework for group pattern mining of pedestrian trajectories. GeoInformatica. 2019 Oct;23(4):501-31.
    20. Rivera LF, Jiménez M, Villegas NM, Tamura G, Müller HA. The forging of autonomic and cooperating digital twins. IEEE Internet Computing. 2021 Jan 15;26(5):41-9.
    21. Gilani S, Quinn C, McArthur JJ. A review of ontologies within the domain of smart and ongoing commissioning. Building and Environment. 2020 Sep 1;182:107099.
    22. Quinn C, McArthur JJ. A case study comparing the completeness and expressiveness of two industry recognized ontologies. Advanced Engineering Informatics. 2021 Jan 1;47:101233.
    23. Quinn C, Shabestari AZ, Misic T, Gilani S, Litoiu M, McArthur JJ. Building automation system-BIM integration using a linked data structure. Automation in Construction. 2020 Oct 1;118:103257.

li>Bindra L, Eng K, Ardakanian O, Stroulia E. Flexible, decentralised access control for smart buildings with smart contracts. Cyber-Physical Systems. 2022 Oct 2;8(4):286-320.

li>Golestan S, Nikolaidis I, Stroulia E. Towards a simulation framework for smart indoor spaces. Sensors. 2020 Dec 12;20(24):7137.

li>Rivera LF, Jiménez M, Tamura G, Villegas NM, Müller HA. Designing run-time evolution for dependable and resilient cyber-physical systems using digital twins. Journal of Integrated Design and Process Science. 2021 Jan 1;25(2):48-79.

li>Vlajic N, Chowdhury M, Litoiu M. IP Spoofing in and out of the public cloud: from policy to practice. Computers. 2019 Nov 9;8(4):81.

li>Vlajic N, Madani P, Nguyen E. Clickstream tracking of TOR users: may be easier than you think. Journal of Cyber Security Technology. 2018 Apr 3;2(2):92-108.

li>Chaudhary M, Adams MS, Mukhopadhyay S, Litoiu M, Sergio LE. Sabotage detection using DL models on EEG data from a cognitive-motor integration task. Frontiers in human neuroscience. 2021 Oct 8;15:662875.

li>Ngo KL, Mukherjee J, Jiang ZM, Litoiu M. Has Your FaaS Application Been Decommissioned Yet?--A Case Study on the Idle Timeout in Function as a Service Infrastructure. arXiv preprint arXiv:2203.10227. 2022 Mar 19.

li>Baluta A, Mukherjee J, Litoiu M. Machine learning based interference modelling in cloud-native applications. InProceedings of the 2022 ACM/SPEC on International Conference on Performance Engineering 2022 Apr 9 (pp. 125-132).

li>Costa NE, Pechlivanoglou T, Papagelis M. OL-HeatMap: effective density visualization of multiple overlapping rectangles. Big Data Research. 2021 Jul 15;25:100235.

li>Golestan S, Stroulia E, Nikolaidis I. Smart Indoor Space Simulation Methodologies: A Review. IEEE Sensors Journal. 2022 Mar 14;22(9):8337-59.

li>Gilmour L, Stroulia E. Ortho-photogrammetry for prefabricated energy-efficiency retrofits. Automation in Construction. 2022 Feb 1;134:104082.

li>Sydora C, Nawaz F, Bindra L, Stroulia E. Building occupancy simulation and analysis under virus scenarios. ACM Transactions on Spatial Algorithms and Systems (TSAS). 2022 Jan 28;8(3):1-20.

li>Rasolroveicy M, Haouari W, Fokaefs M. BlockCompass: A benchmarking platform for blockchain performance. Authorea Preprints. 2023 Oct 30.

li>Zhao X, Papagelis M, An A, Chen BX, Liu J, Hu Y. ZipLine: an optimized algorithm for the elastic bulk synchronous parallel model. Machine Learning. 2021 Oct;110:2867-903.

li>Madani P, Vlajic N. RSSI-based MAC-layer spoofing detection: deep learning approach. Journal of Cybersecurity and Privacy. 2021 Aug 12;1(3):453-69.

li>Madani P, Vlajic N, Maljevic I. Randomized moving target approach for MAC-layer spoofing detection and prevention in IoT systems. Digital Threats: Research and Practice. 2022 Dec 5;3(4):1-24.

li>Madani P, Vlajic N, Maljevic I. Randomized moving target approach for MAC-layer spoofing detection and prevention in IoT systems. Digital Threats: Research and Practice. 2022 Dec 5;3(4):1-24.

 

Peer-Reviewed Conference Papers

  1. Sadeghpour, S., Vlajic, N., Madani, P., & Stevanovic, D. (2021). Unsupervised ML Based Detection of Malicious Web Sessions with Automated Feature Selection: Design and Real-World Validation, IEEE Consumer Communications & Networking Conference.
  2. Rasolroveicy, M. (2020). Monitoring of Integration of Simulated IoT Lab and Blockchain. Proceedings of the 30th Annual International Conference on Computer Science and Software Engineering.
  3. Rasolroveicy, M. (2020). Dynamic reconfiguration of consensus protocol for IoT data registry on blockchain. Proceedings of the 30th Annual International Conference on Computer Science and Software Engineering.
  4. Angara, P., Stege, U., Müller, H. A., & Bozzo-Rey, M. (2020). Hybrid Quantum-Classical Problem Solving in the NISQ era. Proceedings 30th Annual International Conference on Computer Science and Software Engineering (CASCON 2020).
  5. Rivera, L. F., Villegas, N. M., & Müller, H. A. (2020). An Adaptive Digital Twin Platform for Longitudinal Healthcare Functions based on IBM Watson Technologies. Proceedings 30th Annual International Conference on Computer Science and Software Engineering (CASCON 2020).
  6. Rasolroveicy, M., & Fokaefs, M. (2020). Dynamic Reconfiguration of Consensus Protocol for IoT Data Registry on Blockchain. Proceedings of the 30th Annual International Conference on Computer Science and Software Engineering.
  7. Angara, P., Stege, U., & MacLean, A. (2020). Quantum Computing for High School Students: An Experience Report. IEEE International Conference on Quantum Computing and Engineering - QCE20.
  8. Chaudhary, M., Mukhopadhyay, S., Litou, M., Sergio, L., & Adams, M. (2020). Understanding Brain Dynamics for Color Perception Using Wearable EEG Headband. CASCON X EVOKE 2020 proceedings.
  9. Pechlivanoglou, T., Alsaeed, M., & Papagelis, M. (2020). MRSweep: Distributed In-Memory Sweep-line for Scalable Object Intersection Problems. 7th IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2020).
  10. Gilmour, L., & Ray, N. (2020). Locating Cephalometric X-Ray Landmarks with Foveated Pyramid Attention. Proceedings of Medical Imagining with Deep Learning.
  11. Rasolroveicy, M., & Fokaefs, M. (2020). Performance Evaluation of Distributed Ledger Technologies for IoT Data Registry: A Comparative Study. Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4).
  12. Sood, N., Bindra, L., & Zaïane, O. (2020). Bi-Level Associative Classifier Using Automatic Learning on Rules. DEXA 2020.
  13. Rivera, L. F., Müller, H. A., Villegas, N. M., Tamura, G., & Jiménez, M. (2020). On the Engineering of IoT-based Digital Twin Software System. Proceedings of IEEE/ACM 42nd International Conference on Software Engineering (ICSE) Workshops.
  14. Mehmood, S., & Papagelis, M. (2020). Learning Semantic Relationships of Geographical Areas based on Trajectories. 21st IEEE International Conference on Mobile Data Management (IEEE MDM 2020).
  15. Rouf, Y., Mukherjee, J., Fokaefs, M., Shtern, M., Le, J., & Litoiu, M. (2019). Rule-based Security Management System for Data-Intensive Applications. Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering (CASCON).
  16. Rivera, L. F., Jiménez, M., Angara, P., Villegas, N. M., Tamura, G., & Müller, H. A. (2019). Towards Continuous Monitoring in Personalized Healthcare through Digital Twins, CASCON x EVOKE 2019.
  17. Ramprasad, B., Fokaefs, M., Mukherjee, J., & Litoiu, M. (2019). EMU-IoT-A Virtual Internet of Things Lab. IEEE International Conference on Autonomic Computing (ICAC).
  18. Zhao, Y., Fatemi Pour, F., Golestan, S., & Stroulia, E. (2019). BIM Sim/3D: Multi-Agent Human Activity Simulation in Indoor Spaces. Software Engineering for Smart Cyber-Physical Systems (SEsCPS), IEEE/ACM International Workshop.
  19. Bindra, L., Lin, C., Stroulia, E., & Ardakanian, O. (2019). Decentralized Access Control for Smart Buildings Using Metadata and Smart Contracts. ICSE 2019.
  20. Bennaceur, A., Ghezzi, C., Tei, K., Kehrer, T., Weyns, D., Calinescu, R., Dustdar, S., Hu, Z., Honiden, S., Ishikawa, F., Jin, Z., Kramer, J., Litoiu, M., Loreti, M., Moreno, G., Müller, H., Nenzi, L., Nuseibeh, B., Pasquale, L., Reisig, W., Schmidt, H., Tsigkanos, C., & Zhao, H. (2019). Modelling and Analysing Resilient Cyber-Physical Systems. IEEE/ACM 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS).
  21. Jiménez, M., Rivera, L. F., Villegas, N. M., Tamura, G., Müller, H. A., & Bencomo, N. (2019). An Architectural Framework for Quality-driven Adaptive Continuous Experimentation. Joint 4th International Workshop on Rapid Continuous Software Engineering and 1st International Workshop on Data-Driven Decisions, Experimentation and Evolution (RCoSE/DDrEE).
  22. Jiménez, M., Rivera, L. F., Villegas, N. M., Tamura, G., Müller, H. A., & Bencomo, N. (2019). An Architectural Framework for Quality-driven Adaptive Continuous Experimentation. Proceedings of IEEE/ACM Joint 4th International Workshop on Rapid Continuous Software Engineering and 1st International Workshop on Data-Driven Decisions, Experimentation and Evolution (RCoSE/DDrEE).
  23. Rivera, L. F., Villegas, N. M., Tamura, G., Jiménez, M., & Müller, H. A. (2018). UML-driven Automated Software Deployment. Proceedings 28th Annual International Conference on Computer Science and Software Engineering (CASCON 2018).
  24. Ramprasad, B., McArthur, J., Fokaefs, M., Barna, C., Damm, M., & Litoiu, M. (2018). Leveraging Existing Sensor Networks as IoT Devices for Smart Buildings. IEEE 4th World Forum on Internet of Things (WF-IoT).
  25. Sun, J., & Papagelis, M. (2021) Epidemic Spreading in Trajectory Networks, Big Data Research,
  26. Madani, P., & Vlajic, N. (2019). Near-Optimal Evasion of Randomized Convex-inducing Classifiers in Adversarial Environments. 14th International Conference on Availability, Reliability and Security (ARES 2019).
  27. Chowdhury, M., & Vlajic, N. (2019). IP Spoofing in the Cloud: An Experimental Study. IEEE Conference on Computer and Network Security (IEEE CNS).
  28. Matthews, Z., & Vlajic, N. (2018). Can Browser Add-Ons Protect Your Children from Online Tracking? 25th ACM Conference on Computer Communications Security (ACM CCS 2018).
  29. Vlajic, N., El Masri, M., Riva, G. M., Doran, D., & Barry, M. (2018). Online Tracking of Kids and Teens by Means of Invisible Images: COPPA vs. GDPR. ACM CCS Workshop on Multimedia Privacy and Security.
  30. Vlajic, N., Zhou, D., & Tung, J. (2018). IoT Cameras and DVRs as DDoS Reflectors: Pros and Cons from Hacker’s Perspective. 3rd IEEE International IoT/CPS-Security Workshop, IEEE International Conference on Industrial Internet (IEEE ICII 2018).
  31. Angara PP, Stege U, Müller HA, Bozzo-Rey M. Hybrid quantum-classical problem solving in the NISQ era. InProceedings of the 30th Annual International Conference on Computer Science and Software Engineering 2020 Nov 10 (pp. 247-252).
  32. Angara P, Jiménez M, Agarwal K, Jain H, Jain R, Stege U, Ganti S, Müller HA, Ng JW. Foodie fooderson a conversational agent for the smart kitchen. InCASCON 2017 Nov 6 (Vol. 17, pp. 247-253).
  33. Jiménez M, Rivera LF, Villegas NM, Tamura G, Müller HA, Gallego P. Devops’ shift-left in practice: An industrial case of application. InSoftware Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment: First International Workshop, DEVOPS 2018, Chateau de Villebrumier, France, March 5-6, 2018, Revised Selected Papers 1 2019 (pp. 205-220). Springer International Publishing.
  34. Rivera LF, Villegas NM, Tamura G, Jiménez M, Müller HA. UML-driven automated software deployment. InProceedings of the 28th annual international conference on computer science and software engineering 2018 Oct 29 (pp. 257-268).
  35. Jiménez M, Rivera LF, Villegas NM, Tamura G, Müller HA, Bencomo N. An architectural framework for quality-driven adaptive continuous experimentation. In2019 IEEE/ACM Joint 4th International Workshop on Rapid Continuous Software Engineering and 1st International Workshop on Data-Driven Decisions, Experimentation and Evolution (RCoSE/DDrEE) 2019 May 27 (pp. 20-23). IEEE.
  36. Rivera LF, Müller HA, Villegas NM, Tamura G, Jiménez M. On the engineering of IoT-intensive digital twin software systems. InProceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops 2020 Jun 27 (pp. 631-638).
  37. Angara PP, Stege U, MacLean A. Quantum computing for high-school students an experience report. In2020 IEEE International Conference on Quantum Computing and Engineering (QCE) 2020 Oct 12 (pp. 323-329). IEEE.
  38. Madani P, Vlajic N, Sadeghpour S. Mac-layer spoofing detection and prevention in IoT systems: randomized moving target approach. InProceedings of the 2020 Joint Workshop on CPS&IoT Security and Privacy 2020 Nov 9 (pp. 71-80).
  39. Sadeghpour S, Vlajic N, Madani P, Stevanovic D. Unsupervised ml based detection of malicious web sessions with automated feature selection: Design and real-world validation. In2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC) 2021 Jan 9 (pp. 1-9). IEEE.
  40. Sahota J, Vlajic N. Mozi IoT malware and its botnets: From theory to real-world observations. In2021 International Conference on Computational Science and Computational Intelligence (CSCI) 2021 Dec 15 (pp. 698-703). IEEE.
  41. Sadeghpour S, Vlajic N. Click fraud in digital advertising: A comprehensive survey. Computers. 2021 Dec 1;10(12):164.
  42. Chung J, Vlajic N. Survey of Remote TLS Vulnerability Scanning Tools and Snapshot of TLS Use in Banking Sector. In2022 IEEE Conference on Communications and Network Security (CNS) 2022 Oct 3 (pp. 1-2). IEEE.
  43. Madani P, Vlajic N. Effective Segmentation of RSSI Timeseries Produced by Stationary IoT Nodes: Comparative Study. InInternational Workshop on Attacks and Defenses for Internet-of-Things 2022 Sep 30 (pp. 84-101). Cham: Springer Nature Switzerland.
  44. Sadeghpour S, Vlajic N. Analysis of Novel Mouse Dynamics Dataset with Repeat Sessions: Helpful Observations for Tackling Session-Replay Bot. In2023 IEEE 20th Consumer Communications & Networking Conference (CCNC) 2023 Jan 8 (pp. 790-797). IEEE.
  45. Hadian M, Ghari S, Fokaefs M, Brisson S, Noei E, Lyons K, Adams B, Zhou S. Exploring trends and practices of forks in open-source software repositories. InProceedings of the 32nd Annual International Conference on Computer Science and Software Engineering 2022 Nov 15 (pp. 120-129).
  46. Sydora C, Stroulia E. BIM-kit: An extendible toolkit for reasoning about building information models. InEC3 Conference 2021 2021 Jul 19 (Vol. 2, pp. 107-114). European Council on Computing in Construction.
  47. Nematichari A, Pechlivanoglou T, Papagelis M. Evaluating and forecasting the operational performance of road intersections. InProceedings of the 30th International Conference on Advances in Geographic Information Systems 2022 Nov 1 (pp. 1-12).
  48. Alix G, Yanin N, Pechlivanoglou T, Li J, Heidari F, Papagelis M. A Mobility-based Recommendation System for Mitigating the Risk of Infection during Epidemics. In2022 23rd IEEE International Conference on Mobile Data Management (MDM) 2022 Jun 6 (pp. 292-295). IEEE.
  49. Liaskos S, Khan SM, Golipour R, Mylopoulos J. Towards Goal-based Generation of Reinforcement Learning Domain Simulations. IniStar 2022 (pp. 22-28).
  50. Dantas J, Khazaei H, Litoiu M. Bias autoscaler: Leveraging burstable instances for cost-effective autoscaling on cloud systems. InProceedings of the Seventh International Workshop on Serverless Computing (WoSC7) 2021 2021 Dec 6 (pp. 9-16).
  51. Ngo KL, Mukherjee J, Jiang ZM, Litoiu M. Has Your FaaS Application Been Decommissioned Yet?--A Case Study on the Idle Timeout in Function as a Service Infrastructure. arXiv preprint arXiv:2203.10227. 2022 Mar 19.
  52. Chaudhary M, Adams MS, Mukhopadhyay S, Litoiu M, Sergio LE. Sabotage detection using DL models on EEG data from a cognitive-motor integration task. Frontiers in human neuroscience. 2021 Oct 8;15:662875.
  53. Chaudhary M, Mukhopadhyay S, Litoiu M, Sergio LE, Adams MS. Understanding brain dynamics for color perception using wearable eeg headband. arXiv preprint arXiv:2008.07092. 2020 Aug 17.

 

Book Chapters

  1. Bruel, J., & Jiménez, M. (2019). DevOps’18 Education Panel. In J. Bruel, M. Mazzara, & B. Meyer (Eds.), Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment. Springer.
  2. Jiménez, M., Rivera, L. F., Villegas, N. M., Tamura, G., Müller, H. A., & Galleg, P. (2019). DevOps’ Shift-Left in Practice: An Industrial Case of Application. In J. Bruel, M. Mazzara, & B. Meyer (Eds.), Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment. Springer.
  3. Jiménez, M., Castaneda, L., Villegas, N. M., Tamura, G., Müller, H. A., & Wigglesworth, J. (2019). DevOps Round-Trip Engineering: Traceability from Dev to Ops and Back Again. In J. Bruel, M. Mazzara & B. Meyer (Eds.), Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment. Springer.
  4. Jiménez M, Tamura G. FRAMEWORK PARA GENERACIÓN Y DESPLIEGUE DE MONITORES DINÁMICOS DE RENDIMIENTO EN SISTEMAS SOFTWARE AUTOADAPTATIVOS. InMonitores dinámicos de software–Despliegue de software–Monitoreo de espectro 2020 (pp. 25-108). Universidad Icesi.
  5. Jiménez M, Tamura G. FRAMEWORK PARA GENERACIÓN Y DESPLIEGUE DE MONITORES DINÁMICOS DE RENDIMIENTO EN SISTEMAS SOFTWARE AUTOADAPTATIVOS. InMonitores dinámicos de software–Despliegue de software–Monitoreo de espectro 2020 (pp. 25-108). Universidad Icesi.

 

Invited Talks

  1. Vlajic, N. (2020, June). 5G Digital Transformation in the New Economy. Ontario Chamber of Commerce.
  2. Vlajic, N. (2019, September). Latest Trends in ML-related Cyber Security Research. Federation of Security Professionals (FSP) Seminar.

 

Patents

  1. Quader, S. S., Jaramillo Duran, N. A., Mukhopadhyay, S., Papangelis, E., Litoiu, M., Kalmuk, D., & Mierzejewski, P. (2020, October). Learning-based Workload Resource Optimization for Database Management Systems. Patent Reference# P202006917US01 (with IBM).
  2. Rouf, Y., & Litoiu, M. (2020, September). AI-Enabled Predictive Auto-Scaler as a Service for Hybrid Cloud Deployments. IBM.
  3. Mukhopadhyay, S. (2020, September). Learning-based Workload Resource Prediction for Autonomous Database Management Systems.
  4. Quader SS, Duran NA, Mukhopadhyay S, Papangelis E, Litoiu M, Kalmuk D, Mierzejewski P, inventors; International Business Machines Corp, assignee. Learning-based workload resource optimization for database management systems. United States patent US 11,500,830. 2022 Nov 15.
  5. Raza B, Kumar YJ, Malik AK, Anjum A, Faheem M. Performance prediction and adaptation for database management system workload using case-based reasoning approach. Information Systems. 2018 Jul 1;76:46-58.
  6. Tamar ED, Papangelis E, Krijnen T, inventors; University of Toronto, assignee. Systems and methods for sustainability and social interaction analysis in building information modeling. United States patent US 11,270,036. 2022 Mar 8.

 

Conference Presentations

  1. Rouf, Y., Mukherjee, J., Litiou, M., Watts, I., Wigglesworth, J., & Mateescu, R. (2021, October). A Framework for Developing DevOps Operation Automation in Clouds using Components-off-the-Shelf. ICPE 2021.
  2. Chang, G., El-Mohktari, K., Richman, R., & McArthur, J. (2021, September). Evaluating Stack Effect Impact of Thermal Comfort in High Rise Office Towers. Building Simulation 2021.
  3. Chang, G., El-Mohktari, K., Richman, R., & McArthur, J. (2021, February). A Data-Driven Modelling of Stack Effect in High Rise Office Towers. CIB W78-LDAC 2021 - 38th International CIB W78 and Linked Data in Architecture Conference.
  4. Sadeghpour, S., Vlajic, N., Madani, P., & Stevanovic, D. (2021, January). Unsupervised ML Based Detection of Malicious Web Sessions with Automated Feature Selection: Design and Real-World Validation. IEEE Consumer Communications & Networking Conference 2021.
  5. Rasolroveicy, M. (2020, November). Dynamic Reconfiguration of Consensus Protocol for IoT Data Registry on Blockchain. 30th Annual International Conference on Computer Science and Software Engineering.
  6. Rasolroveicy, M. (2020, November). Monitoring of Integration of Simulated IoT Lab and Blockchain. 30th Annual International Conference on Computer Science and Software Engineering.
  7. Rasolroveicy, M., & Fokaefs, M. (2020, November). Performance Evaluation of Distributed Ledger Technologies for IoT Data Registry: A Comparative Study. 2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4).
  8. Angara, P., Stege, U., MacLean, A., Markham, T., & Knodel, J. (2020, October). From Qubits to Quantum Teleportation: A Hands-On Experience for High Schoolers. IEEE International Conference on Quantum Computing and Engineering Workshop (QCE 2020).
  9. Fokaefs, M. (2020, October). Self-adaptive Software Architecture for Intelligent Systems. 7th IEEE Research Boost.
  10. Chaudhary, M., Mukhopadhyay, S., Litoiu, M., Sergio, L., & Adams, M. (2020, October). Understanding Brain Dynamics for Color Perception Using Wearable EEG Headband. CASCON 2020.
  11. Pechlivanoglou, T., Alsaeed, M., & Papagelis, M. (2020, October). MRSweep: Distributed In-Memory Sweep-line for Scalable Object Intersection Problems. 7th IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2020).
  12. Mukhopadhyay, S., & Litoiu, M. (2020, October). Fault Detection in Sensors Using Single and Multi-Channel Weighted Convolutional Neural Networks. 10th International Conference on the Internet of Things (IoT 2020).
  13. Rasolroveicy, M. (2020, August). A Self-Adaptive Blockchain Framework to Balance Performance, Security, and Energy Consumption in IoT applications. 1st IEEE International Conference on Autonomic Computing and Self-Organizing Systems - ACSOS 2020 - Doctoral Symposium.
  14. Rasolroveicy (2020, August). A Self-Adaptive Blockchain Tool to Balance Performance and Resource Consumption in IoT Applications. ACSOS-2020-doctoral-symposium - IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS).
  15. Gilmour, L., & Ray, N. (2020, July). Locating Cephalometric X-Ray Landmarks with Foveated Pyramid Attention. Medical Imagining with Deep Learning.
  16. Mehmood, S., & Papagelis, M. (2020, June). Learning Semantic Relationships of Geographical Areas based on Trajectories. 21st IEEE International Conference on Mobile Data Management (IEEE MDM 2020).
  17. Jiménez, R., Rivera, L. F., Villegas, N. M., Tamura, G., Müller, H. A., Bencomo, N., Sun, S., Wigglesworth, J., Watts, I., & Hockett, H. (2020, May). Continuous Software Evolution based on Self-Adaptive Experimentation. International Conference on Software Maintenance and Evolution (ICSME).
  18. Ghari, S., Hadian, M., Rasolroveicy, M. & Fokaefs, M. (2019, November). A multi-dimensional quality analysis of Android applications. CASCON 2019.
  19. Rasolroveicy, M., & Fokaefs, M. (2020, November). Dynamic Reconfiguration of Consensus Protocol for IoT Data Registry on Blockchain. CASCON 2020.
  20. Rouf, Y., Mukherjee, J., Fokaefs, M., Shtern, M., Le, J., & Litoiu, M. (2019, November). Rule-based Security Management System for Data-Intensive Applications. CASCON x EVOKE 2019.
  21. Quinn, C., Shabestari, A., Litoiu, M., & McArthur, J. (2019, September). Building Automation System Data Integration with BIM: Data Structure and Supporting Case Study. CIB W78 2019 - 36th International CIB W78 Conference.
  22. Quinn, C., Shabestari, A., Litoiu, M., & McArthur, J. (2019, September). Building Automation System Data Integration with BIM: Data Structure and Supporting Case Study. CIB W78 2019.
  23. Rivera, L. F., Jiménez, M., Angara, P., Villegas, N. M., Tamura, G., & Müller, H. A. (2019, August). Towards Continuous Surveillance and Personalized Medical Treatments in Precision Medicine Through Digital Twins. 29th Annual International Conference on Computer Science and Software Engineering (CASCON).
  24. Liaskos, S., Wang, B., & Alimohammadi, N. (2019, May). Blockchain Networks as Adaptive Systems. SEAMS 2019.
  25. Rouf, Y., Mukherjee, J., Mateescu, R., Wigglesworth, J., & Litiou, M. (2019, May). Advance Ontario 3mi Competition. Advance Ontario.
  26. Rivera, L. F., Villegas, N. M., Tamura, G., Jiménez, M., & Müller, H. A. (2018, November). UML-Driven Automated Software Deployment. 28th Annual International Conference on Computer Science and Software Engineering (CASCON).
  27. Jiménez, M., Tamura, G., & Müller, H. A. (2018, November). Towards Continuous Assurance of Non-Functional Requirements Through Continuous Experimentation. 2nd Workshop on DevOps and Software Analytics for Continuous Engineering and Improvement, Annual International Conference on Computer Science and Software Engineering (CASCON).
  28. Sadeghpour, S., Jaseemuddin, M., & Kharbish, S. (2018, June). Cluster-Based Cache Placement in 5G Network.HPCC/SmartCity/DSS 2018.
  29. Jiménez, M., Villegas, N. M., Tamura, G., Müller, H. A., Wigglesworth, J., & Watts, I. (2018, May). DevOps Round-trip Software Engineering: On Traceability from Dev to Ops and back. Consortium for Software Engineering Research (CSER).
  30. Mehmood S, Papagelis M. Learning semantic relationships of geographical areas based on trajectories. In2020 21st IEEE International Conference on Mobile Data Management (MDM) 2020 Jun 30 (pp. 109-118). IEEE.
  31. Pechlivanoglou T, Alsaeed M, Papagelis M. MRSweep: Distributed In-Memory Sweep-line for Scalable Object Intersection Problems. In2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA) 2020 Oct 6 (pp. 324-333). IEEE.
  32. Quinn C, Shabestari AZ, Litoiu M, McArthur JJ. Building Automation System Data Integration with BIM: Data Structure and Supporting Case Study. arXiv preprint arXiv:2205.05518. 2022 May 11.
  33. Chang G, El Mokhtari K, Richman R, McArthur JJ. Evaluating Stack Effect Impact of Thermal Comfort in High Rise Office Towers.
  34. Rasolroveicy M, Fokaefs M. Dynamic reconfiguration of consensus protocol for IoT data registry on Blockchain. InProceedings of the 30th Annual International Conference on Computer Science and Software Engineering 2020 Nov 10 (pp. 227-236)./li>
  35. Rasolroveicy M, Fokaefs M. Performance evaluation of distributed ledger technologies for iot data registry: A comparative study. In2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4) 2020 Jul 27 (pp. 137-144). IEEE./li>
  36. Angara PP, Stege U, Müller HA, Bozzo-Rey M. Hybrid quantum-classical problem solving in the NISQ era. InProceedings of the 30th Annual International Conference on Computer Science and Software Engineering 2020 Nov 10 (pp. 247-252)./li>
  37. Gilmour L, Ray N. Locating cephalometric x-ray landmarks with foveated pyramid attention. InMedical Imaging With Deep Learning 2020 Sep 21 (pp. 262-276). PMLR./li>

 

Conference Posters

  1. Quader, S. S., Jaramillo Duran, N. A., Mukhopadhyay, S., Papangelis, E., Litoiu, M., Kalmuk, D., & Mierzejewski, P. (2020, November). Deep Learning-based Resource Prediction for Database Workloads. CASCON x EVOKE 2020.
  2. Rasolroveicy, M., & Fokaefs, M. (2020, November). A Self-Adaptive Blockchain Tool to Balance Performance and Resource Consumption in IoT Applications. 30th Annual International Conference on Computer Science and Software Engineering.
  3. Angara, P. (2020, October). Problem Solving in the NISQ Era: Exploring Hybrid Quantum-Classical Approaches. IEEE International Conference on Quantum Computing and Engineering - QCE20.
  4. Angara, P., Stege, U., & MacLean, A. (2020, October). Quantum Computing for High-School Students: An Experience Report. IEEE International Conference on Quantum Computing and Engineering (QCE).
  5. Angara, P., Müller, H. A., & Stege, U. (2020, March). A Deeper Look into Quantum Computing. HighTechU.
  6. Liaskos, S., Anand, T., & Alimohammadi, N. (2020, February). Architecting Blockchain Network Simulators: a Model-Driven Perspective. IEEE International Conference on Blockchain and Cryptocurrency (IEEE ICBC).
  7. Mukhopadhyay, S., & Litoiu, M. (2019, November). Machine Learning Based Optimization for Database Workloads Screen Reader Support Enabled. IBM CASCONE x EVOKE 2019.
  8. Rasolroveicy, M., & Fokaefs, M. (2019, November). Balancing Performance, Security and Cost Trade-offs of Blockchain in IoT Applications: A Comparative Study. CASCON x EVOKE 2019.
  9. Rivera, L. F., Villegas, N. M., & Müller, H. A. (2019, November). Towards Continuous Monitoring in Personalized Healthcare through Digital Twins. CASCON x EVOKE 2019.
  10. Rouf, Y., Mukherjee, J., Litiou, M., Watts, I., Wigglesworth, J., Mateescu, R. (2019, November). Auto-Scaler as a Service for Private/Public Cloud Deployments – Expanded. CASCON 2019.
  11. Angara, P., Müller, H. A., & Stege, U. (2019, October). Quantum Computing and Algorithm Design. CASCON 2019.
  12. Hadian, M., & Fokaefs, M. (2019, October). Internet-of-Things Solutions for Smart Campuses: A Comparative Study of Clustering Techniques. IEEE research boost Montreal.
  13. Bindra, L., Eng, K., Ou, Y., Ardakanian, O., Stroulia, E. (2019, August). Indoor Path Planning and Decentralized Access Control in Commercial Buildings. BuildSys 2019.
  14. Rivera, L. F., Villegas, N. M., & Müller, H. A. (2019, May). Modeling Challenges of Digital Twin. Joint Consortium for Software Engineering Research (CSER) 2019 Spring Meeting and 2nd International Symposium on Software Engineering for Machine Learning Applications (SEMLA).
  15. Rouf, Y., Mukherjee, J., Litiou, M., Wigglesworth, J., & Mateescu, R. (2019, May). Auto-Scaler as a Service for Private/Public Cloud Deployments. IBM Castle.
  16. Jiménez, M., Tamura, G., Müller, H. A., Wigglesworth, J., & Watts, I. (2019, May). Model Transformation Issues for Round-trip Engineering of Deployment Specifications. Joint Consortium for Software Engineering Research 2019 Spring Meeting (CSER) and 2nd Software Engineering for Machine Learning Applications (SEMLA).
  17. Jiménez, M., Tamura, G., & Müller, H. A. (2019, March). Towards Software Engineering at Run-time Through Continuous Experimentation and Evolution. 2019 CRA Grad Cohort Workshop for Underrepresented Minorities + Persons with Disabilities (CRA URMD).
  18. Jiménez, M., Tamura, G., & Müller, H. A. (2018, November). Continuous Deployment Specification for Large Scale Systems. Annual International Conference on Computer Science and Software Engineering (CASCON).
  19. Jiménez, M., Villegas, N. M., Tamura, G., & Müller, H. A. (2018, March). Round-trip Software Engineering in DevOps:
  20. Making the Infrastructure a Code Committer. CRA Grad Cohort Workshop for Underrepresented Minorities + Persons with Disabilities (CRA URMD).
  21. Rivera LF, Jiménez M, Angara P, Villegas NM, Tamura G, Müller HA. Towards continuous monitoring in personalized healthcare through digital twins. InProceedings of the 29th annual international conference on computer science and software engineering 2019 Nov 4 (pp. 329-335).
  22. Rivera LF, Jiménez M, Angara P, Villegas NM, Tamura G, Müller HA. Towards continuous monitoring in personalized healthcare through digital twins. InProceedings of the 29th annual international conference on computer science and software engineering 2019 Nov 4 (pp. 329-335).

 

Other Outputs

  1. Müller, H. A. (2021, October). Conference Organization General Chair. IEEE International Conference on Quantum Computing and Engineering (QCE21).
  2. Jiménez, M., & Tamura, G. (2020). Framework para Generación y Despliegue de Monitores Dinámi-cos de Rendimiento en Sistemas Software Autoadaptativos. Bitácoras de la Maestría. 3. Editorial Universidad Icesi, 2020. Chap. 1, pp. 25–108.
  3. Müller, H. A. (2020, October). Conference Organization General Chair. IEEE International Conference on Quantum Computing and Engineering (QCE20FCAE).
  4. Pakdaman, S. (2020, September). Real-time Video Analytics at Scale: Design, Deployment and Evaluation (Master Thesis). University of Toronto.
  5. Huang, Y. (2020, August). Anomaly Detection for Cybersecurity Attacks on NetFlow Data (Master Thesis). University of Toronto.
  6. Bindra, L. (2020, August). Smart Contracts for Building Access Control (Master Thesis). University of Alberta.
  7. Alimohammadi, N. (2020, August). Empirically Exploring the Scalability, Throughput and Security of Blockchain Networks (Master Thesis). York University.
  8. Quinn, C. (2020, June). Data Ontology Assessment to Support Smart and Ongoing Commissioning of Buildings (Master Thesis). Ryerson University.
  9. Rivera, L. F., Müller, H. A., Villegas, N. M., Tamura, G., & Jiménez, M. (2020, May). On the Engineering of IoT-based Digital Twin Software Systems (Workshop). 2nd International Workshop on Software Engineering Research & Practices for the Internet of Things (SERP4IoT).
  10. Angara, P., Müller, H. A., & Stege, U. (2020, March). Getting up to speed with Nature's Imagination (Public Outreach). University of Victoria.
  11. Angara, P., Müller, H. A., & Stege, U. (2020, January). Introduction to Quantum Computing: A Hands-on Workshop with Jupyter Notebooks and Aiskit. HighTechU.
  12. Müller, H. A. (2019). Co-Chair. IEEE Quantum Initiative, IEEE Future Directions.
  13. Angara, P. (2019, October). Quantum Workshop Presentation. CASCON 2019. IBM.
  14. Gerostathopoulos, I., Konersmann, M., Krusche, S., Mattos, D. I., Bosch, J., Bures, T., Fitzgerald, B., Goedicke, M., Muccini, H., Olsson, H. H., Brand, T., Chatley, R., Diamantopoulos, N., Friedman, A., Jiménez, M., Johanssen, J. O., Manggala, P., Koseki, M., Melegati, J., Munaiah, N., Tamura, G., Theodorou, V., Wong, J., & Figalist, I. (2019, August). Continuous Data-driven Software Engineering – Towards a Research Agenda (Report). Report on the Joint 5th International Workshop on Rapid Continuous Software Engineering (RCoSE 2019) and 1st International Workshop on Data-Driven Decisions, Experimentation and Evolution (DDrEE 2019). ACM SIGSOFT Software Engineering Notes.
  15. Bruel, J., & Jiménez, M. (2019, May). DevOps’18 Education Panel. Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment.
  16. Jiménez, M., Rivera, L. F., Villegas, N. M., Tamura, G., Müller, H. A., Gallego, P. (2019, May). DevOps’ Shift-Left in Practice: An Industrial Case of Application. Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment.
  17. Rivera, L. F., Villegas, N. M., Müller, & H. A. (2019, March). A Vision for Digital Twin. CRA Grad Cohort Workshop for Underrepresented Minorities + Persons with Disabilities (CRA URMD).
  18. Ravichandram, R. (2018, December). Autonomic Management System on SAVI IoT (Master Thesis). University of Toronto.

 

Awards & Honours

  1. Litoiu, M. (2021, August). Fellow of the Canadian Academy of Engineering. The Canadian Academy of Engineering.
  2. Chang, G. (2021, April). CUE - Toronto Hydro Corporation Student Awards. Center of Urban Energy, Ryerson University.
  3. Goyal, P. (2020, December). Mitacs Accelerate Award. Development of Online Rapid Cognitive-Motor Assessment Tool to Monitor COVID-19-Related Dysfunction Post-Discharge. MITACS.
  4. Litoiu, M. (2020, November). Faculty Fellow of the Year Award, IBM Centre for Advanced Studies. IBM Canada.
  5. Hadian, M. (2020, September). Mitacs Accelerate Award. MITACS.
  6. Rasolroveicy, M. (2020, June). Mitacs Accelerate Award. MITACS.
  7. Angara, P. (2020, September). UVic Fellowship 2020-2023 ($15,000/year). University of Victoria.
  8. Guiterrez, C. (2020, June). Mitacs Accelerate Award. MITACS.
  9. Mehmood, S., & Papagelis, M. (2020, June). Best paper award. 21st IEEE International Conference on Mobile Data Management (IEEE MDM 2020).
  10. Tjhia, K. (2020, May). NSERC Undergraduate Student Research Awards (USRA). Natural Sciences and Engineering Research Councilof Canada (NSERC).
  11. Vlajic, N. (2020, April). NSERC/DND Supplement Award. Natural Sciences and Engineering Research Councilof Canada (NSERC).
  12. Gilmour, L. (2020, January). Mitacs Accelerate Award. MITACS.
  13. Li, J. (2020, May). Lassonde Undergraduate Research Award (LURA). Lassonde School of Engineering, York University.
  14. Rivera, L. F., Jiménez, M., Angara, P., Villegas, N. M., Tamura, G., & Müller, H. A. (2019, November). Best New Ideas and Emerging Results Paper. CASCON x EVOKE 2019.
  15. Müller, H. A. (2019). Faculty Fellow of the Year Award, IBM Centre for Advanced Studies. IBM Canada.
  16. Hu, Y., Litoiu, M., Wong, J., & Iszlai, G. (2019, November). Most Influential Paper Award - Resource Provisioning for Cloud Computing. CASCON 2019.
  17. Sadeghpour, S. (2019, November). NRC IRAP Award. NRC IRAP (Canada Industrial Research Assistance Program).
  18. Quinn, C. (2019, October). Mitacs Accelerate Award. MITACS.
  19. NSERC/DND Supplement (Award).N. Vlajic (2020, April). NSERC Award
  20. Development of online rapid cognitive-motor assessment tool to monitor COVID-19-related dysfunction post-discharge
    .Mohammadreza Rasolroveicy (2020, August). NSERC Award
  21. Development of online rapid cognitive-motor assessment tool to monitor COVID-19-related dysfunction post-discharge
    .Goyal P (awardee); Sergio LE (Supervisor); Litoiu M (co-supervisor) (2020, December).Mitacs Accelerate Award. MITACS.
  22. Mitacs Accelerate Award,Mohammadreza Rasolroveicy (2020, June).Mitacs Accelerate Award. MITACS.
  23. Mitacs Accelerate Award,Mahsa Hadian(2020, September).Mitacs Accelerate Award. MITACS.
  24. Mitacs Accelerate Award,Logan Gilmour
    (2020, January).Mitacs Accelerate Award. MITACS.
  25. NRC IRAP Award
    ,NRC IRAP (Canada Industrial Research Assistance Program), Shadi Sadeghpour (2019, November).Mitacs Accelerate Award.