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

    80. Undergraduate Students

  80. Anton Sugolov, COVID-19: Agent-based framework for modelling pandemics in urban environment, 2020-21, Ryerson - NSERC Alliance
  81. Reaz Huq, Automatic Personality Insights from Speech, 2018-19, Ryerson - OCE VIP1
  82. 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
  83. B. Parsi, Probabilistically Faulty Searching on a Half-Line, summer 2016, Ryerson - MITACS Globalink Intern
  84. S. Park, Probabilistically Faulty Searching on a Half-Line, summer 2016, Ryerson - Faculty of Science 2015 Summer URO
  85. K. Ternovsky, Hypergraph Theory and Applications, 2015-16, Ryerson - TIMC project
  86. Jake Nicolaidis, Complex Networks and Modelling of Social Learning, summer 2015, Ryerson - Faculty of Science 2015 Summer URO
  87. Rita del Rio Chanona, Complex Networks and Modelling of Social Learning, summer 2015, Ryerson - MITACS Globalink Intern
  88. G. Mousseau, Intelligent Rating System, 2012-13, Ryerson - NSERC Engage Project
  89. Y. Muc, Intelligent Rating System, 2012-13, Ryerson - NSERC Engage Project
  90. B. Fikree, Intelligent Rating System, 2012-13, Ryerson - NSERC Engage Project
  91. A. Bujnicka, A Comparison of Sorting Algorithms, 2007, AMU (Adam Mickiewicz University, Poznan, Poland)
  92. T. Burdelak, On-line Ramsey Numbers, 2007, AMU
  93. M. Andrzejczak, Peer-to-Peer Networks, 2006, AMU
  94. M. Bednarczyk, Lossless Data Compression Algorithms, 2006, AMU
  95. P. Gucwa, Color Image Quantization Algorithms, 2006, AMU
  96. D. Mackowiak, Histogram Algorithms, 2006, AMU
  97. P. Matczak, Hashing Tables, 2006, AMU
  98. D. Piorun, Mathematical Models of the Web Graph, 2006, AMU
  99. L. Rachwalski, Image Binarization, 2006, AMU
  100. M. Sobczak, Self-balancing Binary Search Trees, 2006, AMU
  101. L. Soszynski, Binary Trees, 2006, AMU
  102. M. Stadnicki, Text Algorithms, 2006, AMU
  103. R. Szrama, Image Files Structures, 2006, AMU
  104. M. Urban, Fast Algorithms for Sorting, 2006, AMU
  105. T. Rybicki, How to Build Supercomputer Using GNU/Linux Operating System?, 2003, AMU
  106. M. Kropinski, Image Processing, 2002, AMU
  107. R. Mrozinski, Image Processing - Color Reduction in 24bit Images, 2002, AMU
  108. R. Opielinski, Ising's Model, 2002, AMU
  109. P. Sobczak, The Travelling Salesman Problem, 2002, AMU
  110. M. Szlawska, MatLab Package and Its Applications in the `Complex' Numerical Optimization Method, 2002, AMU
  111. T. Tomczyk, Neural Networks, 2002, AMU
  112. R. Antczak, Voronoi Trees and Its Application in Pointing Out the Diffusion Coefficient, 2001, AMU
  113. T. Kotala, The Lempel-Ziv-Welch Compression Algorithm in Computer Simulations, 2001, AMU
  114. D. Parczynski, The Huffman Compression Algorithm in Computer Simulations, 2001, AMU
  115. B. Strozynska, Graph Theory and Its Application in Physics, 2001, AMU