Assistant Professor Joseph Brown

Joseph Alexander Brown was born in Niagara-on-the-Lake, ON, Canada, on July 6, 1985.  He received the B.Sc. (Hons.) with first class standing in computer science with a concentration in software engineering, and M.Sc. in computer science from Brock University, St. Catharines, ON, Canada in 2007 and 2009, respectively.  He received the Ph.D. in computer science from the University of Guelph in 2014. He previously worked for Magna International Inc. as a Manufacturing Systems Analyst and as a visiting researcher at ITU Copenhagen.  He is currently an Assistant Professor and head of the Artificial Intelligence in Games Development Lab at Innopolis University in Innopolis, Republic of Tatarstan, Russia and an Adjunct Professor of Computer Science at Brock University, St. Catharines, ON, Canada.  He is a Senior Member of the IEEE and sits on the Bioinformatics and Bioengineering Technical Committee.

Recent Publications:

J.Hughes, S.Houghten, and J.A.Brown. Models of Parkinson’s Disease Patient Gait, Journal of Biomedical and Health Informatics, Accepted Paper, 2020.

J.Hughes, S.Houghten, and J.A.Brown. Gait Model Analysis of Parkinson’s Disease Patients under Cognitive Load, 2020 IEEE Congress on Evolutionary Computation (CEC 2020), 8 pages, 2020.

J.A.Brown. A Focused Conversational Model for Game Design and Play-Tests, Games and Learning Alliance, 8th International Conference, GALA 2019, Part of the Lecture Notes in Computer Science book series (LNCS, volume 11899), pp. 447–456, 2019.

A.Dolgushev and J.A.Brown. Deep Puff: Censoring via Machine Learning Cigarette Use, 2019 12th International Conference on Developments in eSystems Engineering (DeSE), pp. 263–267, 2019.

J.Hudges, S.Houghten, and J.A.Brown. Descriptive Symbolic Models of Gaits from Parkinson’s Disease Patients, 2019 IEEE Conference on Bioinformatics and Computational Biology (CIBCB), 8 pages, 2019.

S.Houghten, A.Romualdo, T.Collins and J.A.Brown. Compression of Biological Networks using a Genetic Algorithm with Localized Merge, 2019 IEEE Conference on Bioinformatics and Computational Biology (CIBCB), 8 pages, 2019.

J.Hughes, J.A.Brown, A.M.Khan, A.M.Khattak, and M.Daley. User and Task Identification of Smartwatch Data with an Ensemble of Nonlinear Symbolic Models, In Proceedings of 2019 IEEE Conference on Evolutionary Computation (CEC), pp. 2506–2513, 2019.

J.Hughes, J.A.Brown, A.M.Khan, A.M.Khattak, and M.Daley. Analysis of Symbolic Models of Biometric Data and their use for User and Task Identification, In Proceedings of 2018 IEEE Conference on Bioinformatics and Computational Biology (CIBCB), 8 pages, 2018.

S.Houghten, T.K.Collins, J.A.Hughes, and J.A.Brown. Edit Metric Decoding: Return of the Side

Effect Machines, In Proceedings of 2018 IEEE Conference on Bioinformatics and Computational Biology (CIBCB), 8 pages, 2018.

A.N.Zakirov and J.A.Brown. NSGA-II for Biological Graph Compression, Advanced Studies in Biology, 9(1) 1–7, 2017.

T.K.Colins, A.N.Zakirov, S.Houghten, and J.A.Brown. Single-Objective and Multi-Objective Genetic Algorithms for Compression of Biological Networks, In Proceedings of 2017 IEEE Conference on Bioinformatics and Computational Biology (CIBCB), 8 pages, 2017.

J.A.Brown, S.Houghten, T.Kennedy Collins, and Q.Qu. Evolving Graph Compression using Similarity Measures for Bioinformatics Applications, In the Proceedings of the 2016 IEEE Conference on Bioinformatics and Computational Biology (CIBCB), 8 pages, 2016.

J.Hughes, J.A.Brown, and A.M.Khan. Developing Smartphone Gait Recognition via Genetic Programming, In the Proceedings of the 2016 IEEE Congress on Evolutionary Computation (CEC), pp. 408–415, 2016.

M.Ahmad, A.M.Khan, J.A.Brown, S.Protasov, and A.M.Khattak. Gait Fingerprinting-based User

Identification on Smartphones, In the Proceedings of the 2016 International Joint Conference on Neural Networks (IJCNN), pp. 3060–3067, 2016.

J.A.Brown. On Side Effect Machines as a Representation for Evolutionary Algorithms, In the Proceedings of the 2015 IEEE Conference on Bioinformatics and Computational Biology (CIBCB), 8 pages, 2015.