Articles by researchers of the Institute of Information Systems are devoted to recognizing gaits, personal data security and image interpolation.

Innopolis University is pleased to announce that four papers authored by researchers of several laboratories have been accepted for publication in the 2016 IEEE World Congress on Computational Intelligence (IEEE-WCCI). The WCII is a collection of three world-leading conferences based on metrics such as the Australian evaluation system and Google Scholar: The Congress on Evolutionary Computation (CEC), the International Joint Conference on Neural Networks (IJCNN), and the IEEE Conference on Fuzzy Logic (FUZZ-IEEE).

Two publications, coming from the Machine Learning and Knowledge Representation Lab and the Artificial Intelligence in Games Development Lab focus on recognizing gaits, the process and step length in walking, using a smartphone as a sensor. Gait Fingerprinting-based User Identification on Smartphones, has been accepted to the IJCNN at the end of July in Vancouver, Canada. The article has been prepared by Muhammad Ahmad, along with Prof. Adil Khan, Prof. Joseph Alexander Brown, and Dr. Stanislav Protasov. This is a joint work written in cooperation with Assad Khattak from Zayed University, United Arab Emirates.

Muhammad Ahmad stated that the paper “allows to secure personal data stored on a smartphone in the event of a theft by detecting imposters.”

Professors of Innopolis University, Joseph Brown and Adil Khan, will be presenting Developing Smartphone Gait Recognition via Genetic Programming, a work completed with James Hughes, the University of Western Ontario, Canada. According to Adil Khan, Head of the Machine Learning and Knowledge Representation Lab, “Genetic Programming is a method not yet applied to the problem of detecting a user gait and we wish to compare its application to more traditional machine learning methods”.

Also accepted to CEC was a joint work by Prof. Brown, Head of the Artificial Intelligence in Games Development Lab, and Daniel Ashlock, a Senior Member of the IEEE and collaborator from the University of Guelph, Canada, titled Evolutionary Partitioning Regression with Function Stacks.

Prof. Brown, one of the authors of the paper, commented that “the work represents not only the ability to provide classification and regression via an evolutionary process, in order to find a classifier and a representative model of the class. We have seen applications of this process in biological data and in understanding demographic models.  This method is currently being examined by myself and Prof. Succi (Head of the Industrial Production of Software Lab) for the occurrence levels of bugs in software systems based on the versioning of software”.

Finally, the Data Science and Information Systems Lab represented by Qiang Qu and Sadegh Nobari will be presenting A Low Rank Approach to Non-local Sparse Representation for Image Interpolation at IJCNN.  This is a joint work written in cooperation with Mingli Zhang and Christian Desrosiers from École de Technologie Supérieure, Canada. Prof. Quiang Qu noticed that “peer reviewers responded that that this paper presented a novel contribution for image interpolation”.

Prof. Giancarlo Succi, Head of the Institute for Information Systems, announced: “The institute is dedicated to high level publication venues and work of international quality and is pleased to see these acceptances to WCCI from our faculty and graduate students.”

The WCCI conference will be held on July 24-29 at the Vancouver Convention Centre in Vancouver, Canada. 

Photo: vfs.edu