EECS4080/4088/4480/4070

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 ====== Proposed Projects   ====== ====== Proposed Projects   ======
  
-Below is a list of 4080/4088 projects proposed by faculty members. More projects may be added once they come in (normally in August). Please contact the supervisor directly you are in interested in a project. You can also contact faculty members individually to discuss possible projects. Click [[http://eecs.lassonde.yorku.ca/community/faculty-members/|here]] to see a list of faculty members, their research areas and their contact information.+Below is a list of 4080/4088/4480 projects proposed by faculty members. More projects may be added once they come in (normally in August). Please contact the supervisor directly you are in interested in a project. You can also contact faculty members individually to discuss possible projects. Click [[http://eecs.lassonde.yorku.ca/community/faculty-members/|here]] to see a list of faculty members, their research areas and their contact information. 
 + 
 +====== Full-Stack Developer(s) ====== 
 +**Course:** EECS4080/4088 
 + 
 +**Supervisor:** Prof. Uyen T. Nguyen  
 + 
 +**Contact:** utn@eecs.yorku.ca 
 + 
 +**Project Description and Responsibilities:** 
 +The student(s) will be responsible for developing a web application. The primary focus will be the development of the user interface, web services, API and database interactions, while ensuring system stability and responsiveness among all application modules. 
 + 
 +**Responsibilities:** 
 +  * Development of a modern web application with a responsible user interface, and a back-end responsible with processing user input and interacting with various API end points and database engines 
 +  * Building reusable code and libraries for future use 
 +  * Design and implementation of data storage solutions 
 +  * Collaborate with other team members  
 + 
 +** Required Skills:** 
 +  * Good knowledge of a back-end programming language such as Python or Java EE 
 +  * Good understanding of front-end technologies and platforms, such as Javascript, HTML5, Angular or React 
 +  * Good knowledge of RESTFul web API concept and architecture  
 +  * Good knowledge of database concepts such as SQL and NoSQL 
 +  * Good knowledge of JSON or XML formats and libraries to produce them 
 +  * Some understanding of code versioning tools, such as Git 
 +  * Implementing automated testing platforms and unit tests 
 + 
 +** Good to Have:**  
 +  * Understanding differences between multiple delivery platforms such as mobile vs desktop, and optimizing output to match the specific platform 
 +  * Understanding of secure coding practices, and latest web development standards  
 +  * Recommended education level: 3rd year undergraduate or higher in Computer Science or equivalent program 
 + 
 +**Notes:** 
 +  * Email Prof. Uyen T. Nguyen (utn@eecs.yorku.ca) a copy of your resume listing courses, projects and prior experience relevant to the project. 
 +  * A student completing this project successfully may be hired (paid) as a research assistant after the course is over to continue the next step of the project. 
 + 
 + 
 +====== Building a Database of Dark Webpages ====== 
 +**Course:** EECS4080/4480/4088 
 + 
 +**Supervisor:** Prof. Uyen T. Nguyen  
 + 
 +**Contact:** utn@eecs.yorku.ca 
 + 
 +**Project Description and Responsibilities:** 
 +  * Searching internet resources (google, reddit, dark web link archives, etc.) for links to dark websites of interest 
 +  * Grouping and categorizing web pages 
 +  * Developing graphs representing the data present on the found dark websites 
 +  * Assist in the development of a dark web crawler 
 +  * Assist in the development of information retrieval systems 
 + 
 +**Required Technical Skills:** 
 +  * Experience building programs in Python 
 +  * Good understanding of object-oriented design 
 +  * Experience with Windows and Linux environments 
 +  * Experience with Excel and/or a commonly used graph generation program 
 +**Required Non-Technical Skills:** 
 +  * Strong teamwork skills 
 +  * High organizational skills 
 +  * Good time management skills (there will be weekly check-ins) 
 +**Non-required Asset Skills:** 
 +  * Knowledge of information retrieval methods 
 +**Notes:** 
 +  * Email Prof. Uyen T. Nguyen (utn@eecs.yorku.ca) a copy of your resume listing courses, projects and prior experience relevant to the project. 
 +  * A student completing this project successfully may be hired (paid) as a research assistant after the course is over to continue the next step of the project. 
 + 
 +====== Automation of Copyright Takedowns ====== 
 +**Course:** EECS4070/80/88/90/4480 
 + 
 +**Supervisor:** Prof. James Andrew Smith  
 + 
 +**Contact:** drsmith@yorku.ca 
 + 
 +COVID has accelerated the trend for delivering university courses online. This has been a boon to providing accessible learning modes to students.  However, it has also made it more likely for course content to be uploaded to and distributed on commercial, for-profit file sharing sites like Chegg and Course Hero, without permission of the content creator. 
 + 
 +A copyright takedown process (e.g. DMCA) is in place on these commercial sites but it is cumbersome to use. The objective of this project is to semi-automate the take-down process in one of two ways: 
 + 
 +1. Allow a copyright holder to identify a category of course material (e.g. a course name and number) a priori and engage a scheduled process which regularly scans a commercial site (e.g. Course Hero) and automatically submits takedowns on behalf of the copyright holder 
 + 
 +2. Submit reports to the copyright holder when an identified category of course material is found on a commercial site (e.g. Course Hero) and asks the copyright holder whether a takedown request should be made on the holder's behalf. 
 + 
 +**Required skills:** General programming skills 
 + 
 +**Recommended skills:** Experience in Python (and perhaps Beautiful Soup) and/or Java and/or equivalent 
 + 
 +====== Visualization of Course Maps at YorkU ====== 
 + 
 +**Course:** EECS4070/80/88/90/4480 
 + 
 +**Supervisor:** Prof. James Andrew Smith  
 + 
 +**Contact:** drsmith@yorku.ca 
 + 
 +Students at York have long been missing the ability to visualize the connections between courses when planning or reviewing their progress through their program.  We would like to make a web-centric visualization tool available to students that scrapes data from the official online course calendar so that students can better inform the decisions they make while studying at York. 
 + 
 +This is a continuation of an existing open-source project written in Python.  Interested students will be asked to improve the existing code base so that: 
 + 
 +1. A visualization can be produced and displayed on the web 
 + 
 +2. Corrections to the existing data set (the University's calendar website) can be submitted to an online repository and reused 
 + 
 +Students involved in the project will be required to maintain public-facing documentation. The result of this project will remain open source for further development by students, staff and faculty. 
 + 
 +**Required skills:** General programming skills 
 + 
 +**Recommended skills:** Experience in Python (and perhaps Beautiful Soup) and web-centric tools 
 + 
 +/* 
 +====== Characterizing, Understanding, and Detecting Software Bugs in Machine Learning Frameworks ====== 
 +**Course:** EECS4080 
 + 
 +**Supervisor:** Song Wang  
 + 
 +**Contact:** <wangsong@yorku.ca> 
 + 
 +Today, machine learning and its applications has been integrated into every part of our society. With the development and evolution of information technologies such as smartphones, self-driving cars, and robotics, the dependence of our society on machine learning systems continues to grow, which makes the impact and cost of bugs in these intelligent systems increase dramatically. Building reliable and secure machine learning systems has become an increasingly critical challenge for software developers. Thus, characterizing and understanding the root cause of software bugs in ML frameworks is critical to detecting and repairing buggy behavior. 
 + 
 +This project will first conduct an empirical study to analyze and summarize unique characteristics of software bugs collected from four typical ML frameworks (PyTorch, TensorFlow, CNTK, and Theano). Based on the findings from the empirical study, we will further propose actionable guidelines for designing and exploring new software bug detection approaches to find new bugs on machine learning frameworks and their applications. 
 + 
 +**Required skills:** General EECS4313 and EECS3311 prerequisites; 
 + 
 +**Recommended skills:** Solid programming skills with Python and Java. 
 + 
 +====== Image Processing for Social Coding ====== 
 +**Course:** EECS4088 (Capstone Project) 
 + 
 +**Supervisor:** Maleknaz Nayebi  
 + 
 +**Contact:** <mnayebi@yorku.ca> 
 + 
 +Software developers are increasingly sharing images in social coding environments such as stack overflow, GitHub, Bugzilla, and Slack. This growth is parallel to the general growth of in visual interactions in general purpose online social networks like Instagram, Facebook, and Pinterest. Developers' shared images are meaningful and provide complementary information compared to their associated text. These images extensively help in understanding the change requests, questions, or the responses submitted. Relying on these observations, we are working on automatically processing these images by first forming a database similar to ImageNet for software domain and then applying the text detection object detection and automated captioning techniques on these data. We will work with software teams and software developers to evaluate the usefulness of our methods and results. The project includes: 
 + 
 +(i) Forming and structuring a dataset of crowd labelled images for software related images,  
 + 
 +(ii) Mining content and objects within developers’ shared images,  
 + 
 +(iii) Automatic captioning the images to describe the content.  
 + 
 +**Required skills:** Good knowledge of Python, Good knowledge on Machine learning, Good knowledge of image processing, Ability to work independently, Ability to communicate clearly.  
 + 
 +====== Release Management for Mobile Apps ====== 
 +**Course:** EECS4080 
 + 
 +**Supervisor:** Maleknaz Nayebi  
 + 
 +**Contact:** <mnayebi@yorku.ca> 
 + 
 +Release planning problem is addressing the question of what functionality should be included in any version and when that version should be released to different segments of users. Proper decision about the functionality of evolving software product releases is critical for the success or failure of a product.  The rise in popularity of mobile devices has led to a parallel growth in the size of the app store market, intriguing several research studies and commercial platforms on mining app stores. App store reviews are used to analyze different aspects of app development and evolution. This led into the concept of user driven release management. This project includes: 
 + 
 +(i) Evaluating the applicability of four state of the art release management tools for mobile apps, 
 + 
 +(ii) Testing and enhancing the prototype tools for these four release management techniques.  
 + 
 +**Required skills:** Good knowledge of Python, Ability to manage Git and Jupiter Notebooks, Good knowledge on Machine learning, Ability to work independently, Ability to communicate clearly.  
  
 ====== Estimating emotional state from a speech audio signal ====== ====== Estimating emotional state from a speech audio signal ======
 +**Course:** EECS4080/4088
 +
 **Supervisor:** Michael Jenkin  **Supervisor:** Michael Jenkin 
  
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 ====== Automatic classification of Eurasian Water-Milfoil from sonar and visual data ====== ====== Automatic classification of Eurasian Water-Milfoil from sonar and visual data ======
 +**Course:** EECS4080/4088
 +
 **Supervisor:** Michael Jenkin  **Supervisor:** Michael Jenkin 
  
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 ====== A framework for VR-based vestibular assessment tools ====== ====== A framework for VR-based vestibular assessment tools ======
 +**Course:** EECS4080/4088
 +
 **Supervisor:** Michael Jenkin  **Supervisor:** Michael Jenkin 
  
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 **Required skills:** General EECS408x prerequisites. Good knowledge of C#. Ability to work independently.  **Required skills:** General EECS408x prerequisites. Good knowledge of C#. Ability to work independently. 
 +
 +*/
  
 /* /*
projects.1596301202.txt.gz · Last modified: 2020/08/01 17:00 by aan