Students and Post-doctoral Fellows

    Post-doctoral Fellows

  1. Ash Dehghan, Enhancing expressive power of GNN, 2026-28, TMU - Mitacs Elevate Award, TMU (Toronto Metropolitan University, Toronto, ON, Canada)
  2. Martijn Gösgens, 2024, TMU
  3. Daniel Wilhalm,
    a) Anomaly Detection with Noisy Labels in Graphs, 2025-27, TMU - Mitacs Elevate Award
    b) 2024-25, TMU
  4. Jack Dippel, 2024, TMU
  5. Mateusz Zawisza, 2024, TMU
  6. Austin Eide, 2023-25, TMU
  7. Jordan Barrett, Modelling and Mining Complex Networks as Hypergraphs, 2023-24, TMU - Tutte Institute for Mathematics and Computing
  8. JD Nir, 2022-23, TMU
  9. Ryan Cushman, 2021-22, Ryerson (Ryerson University, Toronto, ON, Canada)
  10. Natalie Behague, 2020-21, Ryerson
  11. Mahsa Kazeminooreddinvand, COVID-19: Agent-based framework for modelling pandemics in urban environment, 2021, Ryerson - NSERC Alliance
  12. Trent Marbach, 2019-20, Ryerson
  13. William Kay, Improved transductive regression using interconnected data, 2019, Ryerson - Mitacs Accelerate
  14. Sean English, 2018-19, Ryerson
  15. Przemyslaw Szufel,
    a) Secure and Smart Connected Cars, 2018-20, Ryerson - NXM + Fields-CQAM
    b) Online Detection of Users' Anomalous Activities on Confidential File Sharing Platform, 2018-19, Ryerson - NSERC Engage Project
    c) Agent-based simulation modelling of out-of-home advertising viewing opportunity, 2018, Ryerson - OCE VIP1 Project
  16. Hoda Chuangpishit, 2017-18, Ryerson
  17. Ceni Babaoglu, Cognitive Claims AI, 2017, Ryerson - NSERC Engage Project
  18. Ewa Infeld, 2016-17, Ryerson
  19. Dieter Mitsche,
    a) Modelling of Homophily and Social Influence via Random Graphs, 2016-17, Ryerson - NSERC Engage Project
    b) 2011-12, Ryerson
  20. Ben Reiniger, 2015-16, Ryerson
  21. Xavier Perez-Gimenez,
    a) Hypergraph Theory and Applications, 2015-16, Ryerson - TIMC project
    b) 2014-15, Ryerson
  22. T. Abdou, Relationship Mapping Analytics for Fundraising and Sales Prospect Research, 2015-16, Ryerson - NSERC Engage Project
  23. Z. Noorian, Web Visitor Engagement Measurement and Maximization, 2015, Ryerson - OCE Talent Edge Fellowship Program
  24. F. Firouzi,
    a) Web Visitor Engagement Measurement and Maximization, 2014-15, Ryerson - OCE Talent Edge Fellowship Program
    b) Utilizing big data for business-to-business matching and recommendation system, 2014-15, Ryerson - NSERC Engage Project
  25. Tommaso Traetta, 2014-15, Ryerson
  26. Bora Caglayan,
    a) A self-organizing dynamic network model increasing the efficiency of outdoor digital billboards, 2014, Ryerson - NSERC Engage Project
    b) Exploiting Big Data for Customized Online News Recommendation System, 2014, Ryerson - NSERC Engage Project
    c) Personalized Mobile Recommender System, 2013-14, Ryerson - NSERC Engage Project
  27. Deepak Bal, 2013-14, Ryerson
  28. Marek Lipczak,
    a) Personalized Mobile Recommender System, 2013-14, Ryerson - NSERC Engage Project
    b) Dynamic clustering and prediction of taxi service demand, 2012, Ryerson - NSERC Engage Project
  29. Bill Kinnersley, 2012-14, Ryerson
  30. Y. Hu, Intelligent Rating System, 2012-13, Ryerson - NSERC Engage Project

    31. Ph.D. Students

  31. Jesse Lucier, TBA, 2025-?, TMU
  32. Reaz Huq, TBA, 2021-?, TMU
  33. Calum MacRury, COVID-19: Agent-based framework for modelling pandemics in urban environment, 2020-21, Ryerson - NSERC Alliance
  34. Marek Antosiewicz, Secure and Smart Connected Cars, 2021, Ryerson - NXM + Fields-CQAM
  35. Kinga Siuta,
    a) Detecting and Responding to Hostile Information Activities: unsupervised methods for measuring the quality of graph embeddings, 2021-22, Ryerson - Patagona Technologies
    b) COVID-19: Agent-based framework for modelling pandemics in urban environment, 2020-21, Ryerson - NSERC Alliance
  36. Nykyta Polituchyi, COVID-19: Agent-based framework for modelling pandemics in urban environment, 2020-21, Ryerson - NSERC Alliance
  37. Agata Skorupka,
    a) Detecting and Responding to Hostile Information Activities: unsupervised methods for measuring the quality of graph embeddings, 2021-22, Ryerson - Patagona Technologies
    b) Secure and Smart Connected Cars, 2020-21, Ryerson - NXM + Fields-CQAM
  38. Brian Goncalves, TBA, 2020-?, TMU
  39. Harjas Singh, Probabilistic Methods in Optimizing Random Processes: Applications to Random and Semi-Random Graphs, 2020-25, TMU
  40. Ash Dehghan,
    a) Advances in Node and Graph Embeddings: Algorithms, Evaluation Frameworks, and Applications, 2020-25, TMU
    b) Detecting and Responding to Hostile Information Activities: unsupervised methods for measuring the quality of graph embeddings, 2021-22, Ryerson - Patagona Technologies
  41. Somnath Kundu,
    a) Study of problems involving mobile agents, 2019-22, Ryerson
    b) Secure and Smart Connected Cars, 2018-20, Ryerson - NXM + Fields-CQAM
  42. Lukasz Krainski, Secure and Smart Connected Cars, 2018-20, Ryerson - NXM + Fields-CQAM
  43. Marcin Opalski, Secure and Smart Connected Cars, 2018-20, Ryerson - NXM + Fields-CQAM
  44. Jacek Filipowski, Secure and Smart Connected Cars, 2018-20, Ryerson - NXM + Fields-CQAM
  45. Tomasz Olczak,
    a) Improved transductive regression using interconnected data, 2019, Ryerson - Mitacs Accelerate Project
    b) Automatic Personality Insights from Speech, 2018-19, Ryerson - OCE VIP1 Project
  46. Bartosz Pankratz,
    a) Community Detection in Complex Networks---Synthetic Models and Algorithms Supported by Node Embeddings, 2019-22, Ryerson
    b) Secure and Smart Connected Cars, 2018-20, Ryerson - NXM + Fields-CQAM
    c) Agent-based simulation modelling of out-of-home advertising viewing opportunity, 2018, Ryerson - OCE VIP1 Project
  47. Anna Szczurek, Agent-based simulation modelling of out-of-home advertising viewing opportunity, 2018, Ryerson - OCE VIP1 Project
  48. C. Kavaklioglu, Cognitive Claims AI, 2017, Ryerson - NSERC Engage Project
  49. S. Akbarisanah, Utilizing big data for business-to-business matching and recommendation system, 2014-15, Ryerson - NSERC Engage Project
  50. Parisa Lak,
    a) Utilizing big data for business-to-business matching and recommendation system, 2014-15, Ryerson - NSERC Engage Project
    b) A self-organizing dynamic network model increasing the efficiency of outdoor digital billboards, 2014, Ryerson - NSERC Engage Project
  51. F. Nosrati, A self-organizing dynamic network model increasing the efficiency of outdoor digital billboards, 2014, Ryerson - NSERC Engage Project
  52. A. Samarikhalaj, A self-organizing dynamic network model increasing the efficiency of outdoor digital billboards, 2014, Ryerson - NSERC Engage Project
  53. Abbas Mehrabian, Dynamic clustering and prediction of taxi service demand, 2012, Ryerson - NSERC Engage Project
  54. Rory Wilson, Dynamic clustering and prediction of taxi service demand, 2012, Dalhousie (Dalhousie University, Halifax, NS, Canada) - NSERC Engage Project

    55. Masters Students

  55. Maya Le, Applying tools from network science in cybersecurity, 2025, TMU - Rogers Cybersecure Catalyst Fellowship
  56. Rabia Danish, ResumeMatch: A Dual-Role AI-Driven Platform for Transparent Resume-Job Compatibility and Enhanced Hiring Outcomes, 2025, TMU - Major Research Project in Data Science
  57. Arnold Sandor, Quantifying the impact of big data and network interconnectedness on AI face recognition accuracy in law enforcement, 2025, TMU - Major Research Project in Data Science
  58. Ben Nick, Darknet Traffic Classification Using Packet Metadata and Machine Learning, 2025, TMU - Major Research Project in Data Science
  59. Thomas Jung, Assessing the Reliability of LLM-as-a-Judge using Advanced Community Detection Techniques with GraphRAG, 2025, TMU - Major Research Project in Data Science
  60. Andrey Zhuravlev, London transit network changes and housing market dynamics: a graph-based analysis (2000–2023), 2025, TMU - Major Research Project in Data Science
  61. Ryan DeWolfe, TBA, 2024-26, TMU
  62. Nadia Salou Doudou, Assessing Recommender System Architectures: A Comparative Study of Collaborative Filtering, Graph-Based, and Hypergraph-Based Models, 2024, TMU - Major Research Project in Data Science
  63. Naren Adithan Senthil Kumar, Optimizing Urban Mobility Using LSTM and GRU, 2024, TMU - Major Research Project in Data Science
  64. Adisvara Annadurai, Network Resilience and Community Analysis, 2024, TMU - Major Research Project in Data Science
  65. Mariam Walaa, Graph-Driven Strategic Intelligence: Innovations in Forecasting, Delisting, and Marketing Optimization, 2024-25, TMU - Mitacs Accelerate
  66. Lourens Touwen,
    a) On Whole-Graph Embeddings from Node Feature Distributions, 2024, TU Delft
    b) Classical and Structural Embeddings of Networks and Their Applications in Various ML Tasks, 2024, TMU - Mitacs Globalink Research Award
  67. Lillian Gong, Combining Graph Convolutional Networks and Generative Adversarial Networks for Robust Recommender Systems, 2023, TMU - Major Research Project in Data Science
  68. Akshat Dubey, Detecting and Responding to Hostile Information Activities: unsupervised methods for measuring the quality of graph embeddings, 2021-22, Ryerson - Patagona Technologies
  69. Yuheng Zhao, Identifying the Busiest Intersections in Markham Using Betweenness Centrality Method with Different Models, 2021, Ryerson - Major Research Project in Data Science
  70. Shams Naahid, Identifying the Most Influential Nodes in Complex Networks Using Various Centrality Measures, 2021, Ryerson - Major Research Project in Data Science
  71. L. Tsang, Predicting NBA Draft Candidates using College Statistics, 2020, Ryerson - Major Research Project in Data Science
  72. K. Varanovich, Secure and Smart Connected Cars, 2019, Ryerson - NXM + Fields-CQAM
  73. Arash Dehghan,
    a) Embedding Complex Networks, 2019-21, Ryerson
    b) Secure and Smart Connected Cars, 2018-20, Ryerson - NXM + Fields-CQAM
  74. Reaz Huq,
    a) Broadcasting on Paths, Cycles, and Cliques, 2019-21, Ryerson
    b) Secure and Smart Connected Cars, 2018-20, Ryerson - NXM + Fields-CQAM
  75. K. Somisetty, Online Detection of User's Anomalous Activities using Logs, 2019, Ryerson - Major Research Project in Data Science
  76. R. Natarajan, Road Networks---Intersections and Traffic, 2019, Ryerson - Major Research Project in Data Science
  77. I. Barolia, Synonym Detection with Knowledge Bases, 2019, Ryerson - Major Research Project in Data Science
  78. C. Postma, Netflix Movie Recommendation Using Hybrid Learning Algorithms and Link Prediction, 2019, Ryerson - Major Research Project in Data Science
  79. Jacek Dziwisz, Online Detection of Users' Anomalous Activities on Confidential File Sharing Platform, 2018-19, Ryerson - NSERC Engage Project
  80. Tomasz Zegota, Automatic Personality Insights from Speech, 2018-19, Ryerson - OCE VIP1
  81. E. Tomini, Load Forecasting using Recurrent Neural Networks in Ontario Energy Markets, 2018, Ryerson - Major Research Project in Data Science
  82. A. Amadou, Geospatial Simulation and Modelling of Out-Of-Home Advertising Viewing Opportunity, 2018, Ryerson - Major Research Project in Data Science
  83. Tomasz Olczak, Cognitive Claims AI, 2017, Ryerson - NSERC Engage Project
  84. Somnath Kundu, Graph Theory Perspective of Stock Market Behaviour, 2017, Ryerson - Major Research Project in Data Science
  85. Vivija You, Distance k cops and robbers, and graph cleaning, 2011-2013, Ryerson
  86. Rory Wilson, Properties of the Spatial Preferential Attachment Model, 2009, Dal

    87. Undergraduate Students

  87. Anton Sugolov, COVID-19: Agent-based framework for modelling pandemics in urban environment, 2020-21, Ryerson - NSERC Alliance
  88. Reaz Huq, Automatic Personality Insights from Speech, 2018-19, Ryerson - OCE VIP1
  89. Calum MacRury,
    a) Modelling Complex Networks Using Hypergraphs, summer 2016, Ryerson - NSERC USRA
    b) Complex Networks and Modelling of Social Learning, summer 2015, Ryerson - NSERC USRA
    c) summer 2014, Ryerson
  90. B. Parsi, Probabilistically Faulty Searching on a Half-Line, summer 2016, Ryerson - MITACS Globalink Intern
  91. S. Park, Probabilistically Faulty Searching on a Half-Line, summer 2016, Ryerson - Faculty of Science 2015 Summer URO
  92. K. Ternovsky, Hypergraph Theory and Applications, 2015-16, Ryerson - TIMC project
  93. Jake Nicolaidis, Complex Networks and Modelling of Social Learning, summer 2015, Ryerson - Faculty of Science 2015 Summer URO
  94. Rita del Rio Chanona, Complex Networks and Modelling of Social Learning, summer 2015, Ryerson - MITACS Globalink Intern
  95. G. Mousseau, Intelligent Rating System, 2012-13, Ryerson - NSERC Engage Project
  96. Y. Muc, Intelligent Rating System, 2012-13, Ryerson - NSERC Engage Project
  97. B. Fikree, Intelligent Rating System, 2012-13, Ryerson - NSERC Engage Project
  98. A. Bujnicka, A Comparison of Sorting Algorithms, 2007, AMU (Adam Mickiewicz University, Poznan, Poland)
  99. T. Burdelak, On-line Ramsey Numbers, 2007, AMU
  100. M. Andrzejczak, Peer-to-Peer Networks, 2006, AMU
  101. M. Bednarczyk, Lossless Data Compression Algorithms, 2006, AMU
  102. P. Gucwa, Color Image Quantization Algorithms, 2006, AMU
  103. D. Mackowiak, Histogram Algorithms, 2006, AMU
  104. P. Matczak, Hashing Tables, 2006, AMU
  105. D. Piorun, Mathematical Models of the Web Graph, 2006, AMU
  106. L. Rachwalski, Image Binarization, 2006, AMU
  107. M. Sobczak, Self-balancing Binary Search Trees, 2006, AMU
  108. L. Soszynski, Binary Trees, 2006, AMU
  109. M. Stadnicki, Text Algorithms, 2006, AMU
  110. R. Szrama, Image Files Structures, 2006, AMU
  111. M. Urban, Fast Algorithms for Sorting, 2006, AMU
  112. T. Rybicki, How to Build Supercomputer Using GNU/Linux Operating System?, 2003, AMU
  113. M. Kropinski, Image Processing, 2002, AMU
  114. R. Mrozinski, Image Processing - Color Reduction in 24bit Images, 2002, AMU
  115. R. Opielinski, Ising's Model, 2002, AMU
  116. P. Sobczak, The Travelling Salesman Problem, 2002, AMU
  117. M. Szlawska, MatLab Package and Its Applications in the `Complex' Numerical Optimization Method, 2002, AMU
  118. T. Tomczyk, Neural Networks, 2002, AMU
  119. R. Antczak, Voronoi Trees and Its Application in Pointing Out the Diffusion Coefficient, 2001, AMU
  120. T. Kotala, The Lempel-Ziv-Welch Compression Algorithm in Computer Simulations, 2001, AMU
  121. D. Parczynski, The Huffman Compression Algorithm in Computer Simulations, 2001, AMU
  122. B. Strozynska, Graph Theory and Its Application in Physics, 2001, AMU