Students and Post-doctoral Fellows

    Post-doctoral Fellows

  1. S. English, 2018-19, Ryerson (Ryerson University, Toronto, ON, Canada) - co-supervised with G@R group
  2. P. Szufel, Agent-based simulation modelling of out-of-home advertising viewing opportunity, 2018, Ryerson - OCE VIP1 Project
  3. H. Chuangpishit, 2017-18, Ryerson - co-supervised with G@R group
  4. C. Babaoglu, Cognitive Claims AI, 2017, Ryerson - NSERC Engage Project - co-supervised with Ayse Bener
  5. E. Infeld, 2016-17, Ryerson - co-supervised with Anthony Bonato
  6. D. Mitsche, Modelling of Homophily and Social Influence via Random Graphs, 2016-17, Ryerson - NSERC Engage Project
  7. B. Reiniger, 2015-16, Ryerson - co-supervised with Anthony Bonato
  8. X. Perez-Gimenez, Hypergraph Theory and Applications, 2015-16, Ryerson - TIMC project
  9. T. Abdou, Relationship Mapping Analytics for Fundraising and Sales Prospect Research, 2015-16, Ryerson - NSERC Engage Project - co-supervised with Ayse Bener
  10. Z. Noorian, Web Visitor Engagement Measurement and Maximization, 2015, Ryerson - OCE Talent Edge Fellowship Program
  11. F. Firouzi, Web Visitor Engagement Measurement and Maximization, 2014-15, Ryerson - OCE Talent Edge Fellowship Program
  12. X. Perez-Gimenez, 2014-15, Ryerson - co-supervised with Anthony Bonato
  13. T. Traetta, 2014-15, Ryerson - co-supervised with Andrea Burgess, Peter Danziger, Dejan Delic, and Anthony Bonato
  14. F. Firouzi, Utilizing big data for business-to-business matching and recommendation system, 2014-15, Ryerson - NSERC Engage Project - co-supervised with Ayse Bener
  15. B. Caglayan, A self-organizing dynamic network model increasing the efficiency of outdoor digital billboards, 2014, Ryerson - NSERC Engage Project
  16. B. Caglayan, Exploiting Big Data for Customized Online News Recommendation System, 2014, Ryerson - NSERC Engage Project
  17. D. Bal, 2013-14, Ryerson - co-supervised with Anthony Bonato
  18. B. Caglayan, Personalized Mobile Recommender System, 2013-14, Ryerson - NSERC Engage Project
  19. M. Lipczak, Personalized Mobile Recommender System, 2013-14, Ryerson - NSERC Engage Project
  20. B. Kinnersley, 2012-14, Ryerson - co-supervised with Anthony Bonato
  21. Y. Hu, Intelligent Rating System, 2012-13, Ryerson - NSERC Engage Project
  22. M. Lipczak, Dynamic clustering and prediction of taxi service demand, 2012, Ryerson - NSERC Engage Project
  23. D. Mitsche, 2011-2012, Ryerson - co-supervised with Anthony Bonato
  24. Ph.D. Students

  25. B. Pankratz, Agent-based simulation modelling of out-of-home advertising viewing opportunity, 2018, Ryerson - OCE VIP1 Project
  26. A. Szczurek, Agent-based simulation modelling of out-of-home advertising viewing opportunity, 2018, Ryerson - OCE VIP1 Project
  27. C. Kavaklioglu, Cognitive Claims AI, 2017, Ryerson - NSERC Engage Project - co-supervised with Ayse Bener
  28. S. Akbarisanah, Utilizing big data for business-to-business matching and recommendation system, 2014-15, Ryerson - NSERC Engage Project - co-supervised with Ayse Bener
  29. P. Lak, Utilizing big data for business-to-business matching and recommendation system, 2014-15, Ryerson - NSERC Engage Project - co-supervised with Ayse Bener
  30. P. Lak, A self-organizing dynamic network model increasing the efficiency of outdoor digital billboards, 2014, Ryerson - NSERC Engage Project - co-supervised with Ayse Bener
  31. F. Nosrati, A self-organizing dynamic network model increasing the efficiency of outdoor digital billboards, 2014, Ryerson - NSERC Engage Project - co-supervised with Ayse Bener
  32. A. Samarikhalaj, A self-organizing dynamic network model increasing the efficiency of outdoor digital billboards, 2014, Ryerson - NSERC Engage Project - co-supervised with Ayse Bener
  33. A. Mehrabian, Dynamic clustering and prediction of taxi service demand, 2012, Ryerson - NSERC Engage Project - co-supervised with Nick Wormald
  34. R. Wilson, Dynamic clustering and prediction of taxi service demand, 2012, Dalhousie (Dalhousie University, Halifax, NS, Canada) - NSERC Engage Project - co-supervised with Jeannette Janssen
  35. Masters Students

  36. E. Tomini, Load Forecasting using Recurrent Neural Networks in Ontario Energy Markets, 2018, Ryerson - Major Research Project in Data Science
  37. A. Amadou, Geospatial Simulation and Modelling of Out-Of-Home Advertising Viewing Opportunity, 2018, Ryerson - Major Research Project in Data Science
  38. T. Olczak, Cognitive Claims AI, 2017, Ryerson - NSERC Engage Project
  39. S. Kundu, Graph Theory Perspective of Stock Market Behaviour, 2017, Ryerson - Major Research Project in Data Science
  40. V. You, Distance k cops and robbers, and graph cleaning, 2011-2013, Ryerson - co-supervised with Anthony Bonato
  41. R. Wilson, Properties of the Spatial Preferential Attachment Model, 2009, Dal - co-supervised with Jeannette Janssen
  42. Undergraduate Students

  43. C. MacRury, Modelling Complex Networks Using Hypergraphs, summer 2016, Ryerson - NSERC USRA
  44. B. Parsi, Probabilistically Faulty Searching on a Half-Line, summer 2016, Ryerson - MITACS Globalink Intern
  45. S. Park, Probabilistically Faulty Searching on a Half-Line, summer 2016, Ryerson - Faculty of Science 2015 Summer URO
  46. K. Ternovsky, Hypergraph Theory and Applications, 2015-16, Ryerson - TIMC project
  47. J. Nicolaidis, Complex Networks and Modelling of Social Learning, summer 2015, Ryerson - Faculty of Science 2015 Summer URO
  48. C. MacRury, Complex Networks and Modelling of Social Learning, summer 2015, Ryerson - NSERC USRA
  49. R. del Rio Chanona, Complex Networks and Modelling of Social Learning, summer 2015, Ryerson - MITACS Globalink Intern
  50. C. MacRury, summer 2014, Ryerson
  51. G. Mousseau, Intelligent Rating System, 2012-13, Ryerson - NSERC Engage Project
  52. Y. Muc, Intelligent Rating System, 2012-13, Ryerson - NSERC Engage Project
  53. B. Fikree, Intelligent Rating System, 2012-13, Ryerson - NSERC Engage Project
  54. A. Bujnicka, A Comparison of Sorting Algorithms, 2007, AMU (Adam Mickiewicz University, Poznan, Poland)
  55. T. Burdelak, On-line Ramsey Numbers, 2007, AMU
  56. M. Andrzejczak, Peer-to-Peer Networks, 2006, AMU
  57. M. Bednarczyk, Lossless Data Compression Algorithms, 2006, AMU
  58. P. Gucwa, Color Image Quantization Algorithms, 2006, AMU
  59. D. Mackowiak, Histogram Algorithms, 2006, AMU
  60. P. Matczak, Hashing Tables, 2006, AMU
  61. D. Piorun, Mathematical Models of the Web Graph, 2006, AMU
  62. L. Rachwalski, Image Binarization, 2006, AMU
  63. M. Sobczak, Self-balancing Binary Search Trees, 2006, AMU
  64. L.Soszynski, Binary Trees, 2006, AMU
  65. M. Stadnicki, Text Algorithms, 2006, AMU
  66. R. Szrama, Image Files Structures, 2006, AMU
  67. M. Urban, Fast Algorithms for Sorting, 2006, AMU
  68. T. Rybicki, How to Build Supercomputer Using GNU/Linux Operating System?, 2003, AMU
  69. M. Kropinski, Image Processing, 2002, AMU
  70. R. Mrozinski, Image Processing - Color Reduction in 24bit Images, 2002, AMU
  71. R. Opielinski, Ising's Model, 2002, AMU
  72. P. Sobczak, The Travelling Salesman Problem, 2002, AMU
  73. M. Szlawska, MatLab Package and Its Applications in the `Complex' Numerical Optimization Method, 2002, AMU
  74. T. Tomczyk, Neural Networks, 2002, AMU
  75. R. Antczak, Voronoi Trees and Its Application in Pointing Out the Diffusion Coefficient, 2001, AMU
  76. T. Kotala, The Lempel-Ziv-Welch Compression Algorithm in Computer Simulations, 2001, AMU
  77. D. Parczynski, The Huffman Compression Algorithm in Computer Simulations, 2001, AMU
  78. B. Strozynska, Graph Theory and Its Application in Physics, 2001, AMU