Students and Post-doctoral Fellows

    Post-doctoral Fellows

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

    26. Ph.D. Students

  26. Reaz Huq, TBA, 2021-?, Ryerson
  27. Calum MacRury, COVID-19: Agent-based framework for modelling pandemics in urban environment, 2020-21, Ryerson - NSERC Alliance
  28. Marek Antosiewicz, Secure and Smart Connected Cars, 2021, Ryerson - NXM + Fields-CQAM
  29. 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
  30. Nykyta Polituchyi, COVID-19: Agent-based framework for modelling pandemics in urban environment, 2020-21, Ryerson - NSERC Alliance
  31. 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
  32. Brian Goncalves, TBA, 2020-?, Ryerson
  33. Harjas Singh, TBA, 2020-?, Ryerson
  34. Ash Dehghan,
    a) TBA, 2020-?, Ryerson
    b) Detecting and Responding to Hostile Information Activities: unsupervised methods for measuring the quality of graph embeddings, 2021-22, Ryerson - Patagona Technologies
  35. Somnath Kundu,
    a) Study of problems involving mobile agents, 2019-22, Ryerson
    b) Secure and Smart Connected Cars, 2018-20, Ryerson - NXM + Fields-CQAM
  36. Lukasz Krainski, Secure and Smart Connected Cars, 2018-20, Ryerson - NXM + Fields-CQAM
  37. Marcin Opalski, Secure and Smart Connected Cars, 2018-20, Ryerson - NXM + Fields-CQAM
  38. Jacek Filipowski, Secure and Smart Connected Cars, 2018-20, Ryerson - NXM + Fields-CQAM
  39. 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
  40. 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
  41. Anna Szczurek, Agent-based simulation modelling of out-of-home advertising viewing opportunity, 2018, Ryerson - OCE VIP1 Project
  42. C. Kavaklioglu, Cognitive Claims AI, 2017, Ryerson - NSERC Engage Project
  43. S. Akbarisanah, Utilizing big data for business-to-business matching and recommendation system, 2014-15, Ryerson - NSERC Engage Project
  44. 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
  45. F. Nosrati, A self-organizing dynamic network model increasing the efficiency of outdoor digital billboards, 2014, Ryerson - NSERC Engage Project
  46. A. Samarikhalaj, A self-organizing dynamic network model increasing the efficiency of outdoor digital billboards, 2014, Ryerson - NSERC Engage Project
  47. Abbas Mehrabian, Dynamic clustering and prediction of taxi service demand, 2012, Ryerson - NSERC Engage Project
  48. Rory Wilson, Dynamic clustering and prediction of taxi service demand, 2012, Dalhousie (Dalhousie University, Halifax, NS, Canada) - NSERC Engage Project

    49. Masters Students

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

    69. Undergraduate Students

  69. Anton Sugolov, COVID-19: Agent-based framework for modelling pandemics in urban environment, 2020-21, Ryerson - NSERC Alliance
  70. Reaz Huq, Automatic Personality Insights from Speech, 2018-19, Ryerson - OCE VIP1
  71. 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
  72. B. Parsi, Probabilistically Faulty Searching on a Half-Line, summer 2016, Ryerson - MITACS Globalink Intern
  73. S. Park, Probabilistically Faulty Searching on a Half-Line, summer 2016, Ryerson - Faculty of Science 2015 Summer URO
  74. K. Ternovsky, Hypergraph Theory and Applications, 2015-16, Ryerson - TIMC project
  75. Jake Nicolaidis, Complex Networks and Modelling of Social Learning, summer 2015, Ryerson - Faculty of Science 2015 Summer URO
  76. Rita del Rio Chanona, Complex Networks and Modelling of Social Learning, summer 2015, Ryerson - MITACS Globalink Intern
  77. G. Mousseau, Intelligent Rating System, 2012-13, Ryerson - NSERC Engage Project
  78. Y. Muc, Intelligent Rating System, 2012-13, Ryerson - NSERC Engage Project
  79. B. Fikree, Intelligent Rating System, 2012-13, Ryerson - NSERC Engage Project
  80. A. Bujnicka, A Comparison of Sorting Algorithms, 2007, AMU (Adam Mickiewicz University, Poznan, Poland)
  81. T. Burdelak, On-line Ramsey Numbers, 2007, AMU
  82. M. Andrzejczak, Peer-to-Peer Networks, 2006, AMU
  83. M. Bednarczyk, Lossless Data Compression Algorithms, 2006, AMU
  84. P. Gucwa, Color Image Quantization Algorithms, 2006, AMU
  85. D. Mackowiak, Histogram Algorithms, 2006, AMU
  86. P. Matczak, Hashing Tables, 2006, AMU
  87. D. Piorun, Mathematical Models of the Web Graph, 2006, AMU
  88. L. Rachwalski, Image Binarization, 2006, AMU
  89. M. Sobczak, Self-balancing Binary Search Trees, 2006, AMU
  90. L. Soszynski, Binary Trees, 2006, AMU
  91. M. Stadnicki, Text Algorithms, 2006, AMU
  92. R. Szrama, Image Files Structures, 2006, AMU
  93. M. Urban, Fast Algorithms for Sorting, 2006, AMU
  94. T. Rybicki, How to Build Supercomputer Using GNU/Linux Operating System?, 2003, AMU
  95. M. Kropinski, Image Processing, 2002, AMU
  96. R. Mrozinski, Image Processing - Color Reduction in 24bit Images, 2002, AMU
  97. R. Opielinski, Ising's Model, 2002, AMU
  98. P. Sobczak, The Travelling Salesman Problem, 2002, AMU
  99. M. Szlawska, MatLab Package and Its Applications in the `Complex' Numerical Optimization Method, 2002, AMU
  100. T. Tomczyk, Neural Networks, 2002, AMU
  101. R. Antczak, Voronoi Trees and Its Application in Pointing Out the Diffusion Coefficient, 2001, AMU
  102. T. Kotala, The Lempel-Ziv-Welch Compression Algorithm in Computer Simulations, 2001, AMU
  103. D. Parczynski, The Huffman Compression Algorithm in Computer Simulations, 2001, AMU
  104. B. Strozynska, Graph Theory and Its Application in Physics, 2001, AMU