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. Mariam Walaa, TBA, 2026-?, TMU
  32. Jesse Lucier, TBA, 2025-?, TMU
  33. Reaz Huq, TBA, 2021-?, TMU
  34. Calum MacRury, COVID-19: Agent-based framework for modelling pandemics in urban environment, 2020-21, Ryerson - NSERC Alliance
  35. Marek Antosiewicz, Secure and Smart Connected Cars, 2021, Ryerson - NXM + Fields-CQAM
  36. 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
  37. Nykyta Polituchyi, COVID-19: Agent-based framework for modelling pandemics in urban environment, 2020-21, Ryerson - NSERC Alliance
  38. 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
  39. Brian Goncalves, TBA, 2020-?, TMU
  40. Harjas Singh, Probabilistic Methods in Optimizing Random Processes: Applications to Random and Semi-Random Graphs, 2020-25, TMU
  41. 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
  42. Somnath Kundu,
    a) Study of problems involving mobile agents, 2019-22, Ryerson
    b) Secure and Smart Connected Cars, 2018-20, Ryerson - NXM + Fields-CQAM
  43. Lukasz Krainski, Secure and Smart Connected Cars, 2018-20, Ryerson - NXM + Fields-CQAM
  44. Marcin Opalski, Secure and Smart Connected Cars, 2018-20, Ryerson - NXM + Fields-CQAM
  45. Jacek Filipowski, Secure and Smart Connected Cars, 2018-20, Ryerson - NXM + Fields-CQAM
  46. 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
  47. 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
  48. Anna Szczurek, Agent-based simulation modelling of out-of-home advertising viewing opportunity, 2018, Ryerson - OCE VIP1 Project
  49. C. Kavaklioglu, Cognitive Claims AI, 2017, Ryerson - NSERC Engage Project
  50. S. Akbarisanah, Utilizing big data for business-to-business matching and recommendation system, 2014-15, Ryerson - NSERC Engage Project
  51. 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
  52. F. Nosrati, A self-organizing dynamic network model increasing the efficiency of outdoor digital billboards, 2014, Ryerson - NSERC Engage Project
  53. A. Samarikhalaj, A self-organizing dynamic network model increasing the efficiency of outdoor digital billboards, 2014, Ryerson - NSERC Engage Project
  54. Abbas Mehrabian, Dynamic clustering and prediction of taxi service demand, 2012, Ryerson - NSERC Engage Project
  55. Rory Wilson, Dynamic clustering and prediction of taxi service demand, 2012, Dalhousie (Dalhousie University, Halifax, NS, Canada) - NSERC Engage Project

    56. Masters Students

  56. Igor Kapiczynski, Building a comprehensive online library of various state-of-the-art algorithms in network science, 2026, TMU - Mitacs Globalink Research Award
  57. Maya Le, Applying tools from network science in cybersecurity, 2025, TMU - Rogers Cybersecure Catalyst Fellowship
  58. 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
  59. 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
  60. Ben Nick, Darknet Traffic Classification Using Packet Metadata and Machine Learning, 2025, TMU - Major Research Project in Data Science
  61. 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
  62. Andrey Zhuravlev, London transit network changes and housing market dynamics: a graph-based analysis (2000–2023), 2025, TMU - Major Research Project in Data Science
  63. Ryan DeWolfe, Benchmarking Community Detection Algorithms with Overlaps and Outliers, 2024-26, TMU
  64. 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
  65. Naren Adithan Senthil Kumar, Optimizing Urban Mobility Using LSTM and GRU, 2024, TMU - Major Research Project in Data Science
  66. Adisvara Annadurai, Network Resilience and Community Analysis, 2024, TMU - Major Research Project in Data Science
  67. Mariam Walaa, Graph-Driven Strategic Intelligence: Innovations in Forecasting, Delisting, and Marketing Optimization, 2024-25, TMU - Mitacs Accelerate
  68. 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
  69. Lillian Gong, Combining Graph Convolutional Networks and Generative Adversarial Networks for Robust Recommender Systems, 2023, TMU - Major Research Project in Data Science
  70. Akshat Dubey, Detecting and Responding to Hostile Information Activities: unsupervised methods for measuring the quality of graph embeddings, 2021-22, Ryerson - Patagona Technologies
  71. Yuheng Zhao, Identifying the Busiest Intersections in Markham Using Betweenness Centrality Method with Different Models, 2021, Ryerson - Major Research Project in Data Science
  72. Shams Naahid, Identifying the Most Influential Nodes in Complex Networks Using Various Centrality Measures, 2021, Ryerson - Major Research Project in Data Science
  73. L. Tsang, Predicting NBA Draft Candidates using College Statistics, 2020, Ryerson - Major Research Project in Data Science
  74. K. Varanovich, Secure and Smart Connected Cars, 2019, Ryerson - NXM + Fields-CQAM
  75. Arash Dehghan,
    a) Embedding Complex Networks, 2019-21, Ryerson
    b) Secure and Smart Connected Cars, 2018-20, Ryerson - NXM + Fields-CQAM
  76. Reaz Huq,
    a) Broadcasting on Paths, Cycles, and Cliques, 2019-21, Ryerson
    b) Secure and Smart Connected Cars, 2018-20, Ryerson - NXM + Fields-CQAM
  77. K. Somisetty, Online Detection of User's Anomalous Activities using Logs, 2019, Ryerson - Major Research Project in Data Science
  78. R. Natarajan, Road Networks---Intersections and Traffic, 2019, Ryerson - Major Research Project in Data Science
  79. I. Barolia, Synonym Detection with Knowledge Bases, 2019, Ryerson - Major Research Project in Data Science
  80. C. Postma, Netflix Movie Recommendation Using Hybrid Learning Algorithms and Link Prediction, 2019, Ryerson - Major Research Project in Data Science
  81. Jacek Dziwisz, Online Detection of Users' Anomalous Activities on Confidential File Sharing Platform, 2018-19, Ryerson - NSERC Engage Project
  82. Tomasz Zegota, Automatic Personality Insights from Speech, 2018-19, Ryerson - OCE VIP1
  83. E. Tomini, Load Forecasting using Recurrent Neural Networks in Ontario Energy Markets, 2018, Ryerson - Major Research Project in Data Science
  84. A. Amadou, Geospatial Simulation and Modelling of Out-Of-Home Advertising Viewing Opportunity, 2018, Ryerson - Major Research Project in Data Science
  85. Tomasz Olczak, Cognitive Claims AI, 2017, Ryerson - NSERC Engage Project
  86. Somnath Kundu, Graph Theory Perspective of Stock Market Behaviour, 2017, Ryerson - Major Research Project in Data Science
  87. Vivija You, Distance k cops and robbers, and graph cleaning, 2011-2013, Ryerson
  88. Rory Wilson, Properties of the Spatial Preferential Attachment Model, 2009, Dal

    89. Undergraduate Students

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