Students and Post-doctoral Fellows

    Post-doctoral Fellows

  1. Martijn Gösgens, 2024, TMU (Toronto Metropolitan University, Toronto, ON, Canada)
  2. Daniel Wilhalm,
    a) Anomaly Detection with Noisy Labels in Graphs, 2025-27, TMU - Mitacs Elevate Award
    b) 2024-25, TMU
  3. Jack Dippel, 2024, TMU
  4. Mateusz Zawisza, 2024, TMU
  5. Austin Eide, 2023-25, TMU
  6. Jordan Barrett, Modelling and Mining Complex Networks as Hypergraphs, 2023-24, TMU - Tutte Institute for Mathematics and Computing
  7. JD Nir, 2022-23, TMU
  8. Ryan Cushman, 2021-22, Ryerson (Ryerson University, Toronto, ON, Canada)
  9. Natalie Behague, 2020-21, Ryerson
  10. Mahsa Kazeminooreddinvand, COVID-19: Agent-based framework for modelling pandemics in urban environment, 2021, Ryerson - NSERC Alliance
  11. Trent Marbach, 2019-20, Ryerson
  12. William Kay, Improved transductive regression using interconnected data, 2019, Ryerson - Mitacs Accelerate
  13. Sean English, 2018-19, Ryerson
  14. 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
  15. Hoda Chuangpishit, 2017-18, Ryerson
  16. Ceni Babaoglu, Cognitive Claims AI, 2017, Ryerson - NSERC Engage Project
  17. Ewa Infeld, 2016-17, Ryerson
  18. Dieter Mitsche,
    a) Modelling of Homophily and Social Influence via Random Graphs, 2016-17, Ryerson - NSERC Engage Project
    b) 2011-12, Ryerson
  19. Ben Reiniger, 2015-16, Ryerson
  20. Xavier Perez-Gimenez,
    a) Hypergraph Theory and Applications, 2015-16, Ryerson - TIMC project
    b) 2014-15, Ryerson
  21. T. Abdou, Relationship Mapping Analytics for Fundraising and Sales Prospect Research, 2015-16, Ryerson - NSERC Engage Project
  22. Z. Noorian, Web Visitor Engagement Measurement and Maximization, 2015, Ryerson - OCE Talent Edge Fellowship Program
  23. 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
  24. Tommaso Traetta, 2014-15, Ryerson
  25. 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
  26. Deepak Bal, 2013-14, Ryerson
  27. 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
  28. Bill Kinnersley, 2012-14, Ryerson
  29. Y. Hu, Intelligent Rating System, 2012-13, Ryerson - NSERC Engage Project

    30. Ph.D. Students

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

    54. Masters Students

  54. 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
  55. 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
  56. Ben Nick, Darknet Traffic Classification Using Packet Metadata and Machine Learning, 2025, TMU - Major Research Project in Data Science
  57. 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
  58. Andrey Zhuravlev, London transit network changes and housing market dynamics: a graph-based analysis (2000–2023), 2025, TMU - Major Research Project in Data Science
  59. Ryan DeWolfe, TBA, 2024-26, TMU
  60. 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
  61. Naren Adithan Senthil Kumar, Optimizing Urban Mobility Using LSTM and GRU, 2024, TMU - Major Research Project in Data Science
  62. Adisvara Annadurai, Network Resilience and Community Analysis, 2024, TMU - Major Research Project in Data Science
  63. Mariam Walaa, Graph-Driven Strategic Intelligence: Innovations in Forecasting, Delisting, and Marketing Optimization, 2024-25, TMU - Mitacs Accelerate
  64. 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
  65. Lillian Gong, Combining Graph Convolutional Networks and Generative Adversarial Networks for Robust Recommender Systems, 2023, TMU - Major Research Project in Data Science
  66. Akshat Dubey, Detecting and Responding to Hostile Information Activities: unsupervised methods for measuring the quality of graph embeddings, 2021-22, Ryerson - Patagona Technologies
  67. Yuheng Zhao, Identifying the Busiest Intersections in Markham Using Betweenness Centrality Method with Different Models, 2021, Ryerson - Major Research Project in Data Science
  68. Shams Naahid, Identifying the Most Influential Nodes in Complex Networks Using Various Centrality Measures, 2021, Ryerson - Major Research Project in Data Science
  69. L. Tsang, Predicting NBA Draft Candidates using College Statistics, 2020, Ryerson - Major Research Project in Data Science
  70. K. Varanovich, Secure and Smart Connected Cars, 2019, Ryerson - NXM + Fields-CQAM
  71. Arash Dehghan,
    a) Embedding Complex Networks, 2019-21, Ryerson
    b) Secure and Smart Connected Cars, 2018-20, Ryerson - NXM + Fields-CQAM
  72. Reaz Huq,
    a) Broadcasting on Paths, Cycles, and Cliques, 2019-21, Ryerson
    b) Secure and Smart Connected Cars, 2018-20, Ryerson - NXM + Fields-CQAM
  73. K. Somisetty, Online Detection of User's Anomalous Activities using Logs, 2019, Ryerson - Major Research Project in Data Science
  74. R. Natarajan, Road Networks---Intersections and Traffic, 2019, Ryerson - Major Research Project in Data Science
  75. I. Barolia, Synonym Detection with Knowledge Bases, 2019, Ryerson - Major Research Project in Data Science
  76. C. Postma, Netflix Movie Recommendation Using Hybrid Learning Algorithms and Link Prediction, 2019, Ryerson - Major Research Project in Data Science
  77. Jacek Dziwisz, Online Detection of Users' Anomalous Activities on Confidential File Sharing Platform, 2018-19, Ryerson - NSERC Engage Project
  78. Tomasz Zegota, Automatic Personality Insights from Speech, 2018-19, Ryerson - OCE VIP1
  79. E. Tomini, Load Forecasting using Recurrent Neural Networks in Ontario Energy Markets, 2018, Ryerson - Major Research Project in Data Science
  80. A. Amadou, Geospatial Simulation and Modelling of Out-Of-Home Advertising Viewing Opportunity, 2018, Ryerson - Major Research Project in Data Science
  81. Tomasz Olczak, Cognitive Claims AI, 2017, Ryerson - NSERC Engage Project
  82. Somnath Kundu, Graph Theory Perspective of Stock Market Behaviour, 2017, Ryerson - Major Research Project in Data Science
  83. Vivija You, Distance k cops and robbers, and graph cleaning, 2011-2013, Ryerson
  84. Rory Wilson, Properties of the Spatial Preferential Attachment Model, 2009, Dal

    85. Undergraduate Students

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