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 ====== Proposed Projects   ======
-Below is a list of 4080 projects proposed by faculty members for Winter 2021. More project descriptions may be added once they come in. 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 4080/4480 projects proposed by faculty members for Summer 2022. More project descriptions may be added once they come in. 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.
+====== Strengthening the Security of an Autograder Process ======
+**Course:** EECS4480
+**Supervisor:** Jonatan Schroeder
+**Contact:** jonatan@yorku.ca
+Unit testing platforms like JUnit and Unity provide a simple interface to evaluating the correctness of individual functions in a large project. These platforms can also be used in an academic environment to automatically test student-submitted code in programming assignments and generate a grade based on if these tests pass or fail. However, given that these platforms were originally developed for running code that is expected to be trusted, this practice can lead to a potential risk if students are able to provide code that causes the test to pass without resulting in the expected value (see https://www.seas.upenn.edu/~hanbangw/blog/hack-gs/). While most modern autograding platforms introduce security practices to avoid this kind of code from receiving a valid grade, some vulnerabilities still exist.
+For this project you will strengthen the security of an autograder process for C code for the PrairieLearn platform. You will start by creating possible attack vectors in the form of code that is expected to cause the autograder to pass a test without actually returning the expected results. Examples of attack vectors include code that saves or outputs well-formatted values that are interpreted by the autograder as a success, and/or crashing the original autograder process. Then you implement safeguards that ensure student-submitted code is unable to bypass container sandbox limitations, and that ensure that malicious student code does not result in a successful grade.
+**Required skills:** Must have completed EECS 2031 with an A/A+. Must have solid programming skills in C. Ability to work independently.
+**Recommended skills:** EECS 3221 is highly recommended. Experience with Docker containers is helpful but can be obtained during the project. Git experience is helpful.
+====== Privacy assessment of online services and platforms ======
+**Course:** EECS4480/4080
+**Supervisor:** Yan Shvartzshnaider
+**Contact:** Please complete this form: https://forms.gle/oVVg6hEConSNf9p28
+	      For any question email: yansh@yorku.ca
+This project involves performing privacy assessment of online services and platforms. The student will help design usable-privacy tools that analyze information handling practices of online services.
+For prior project, see work https://wiki.eecs.yorku.ca/course_archive/2021-22/F/4080_4088_4090_4480_4070/4088_presentation_schedule
+**Required skills:** Ability to work indepently. Experience in full-stack development and using Jupyter and R notebooks for data analysis.
+**Recommended skills:** Experience with Machine Learning, Natural Language Processing techniques, HCI design. Interest in usable privacy, critical analysis of privacy policies and privacy related regulation.
+====== Web Application Full-Stack Development ======
+**Course:** 4080/4088/4090
+**Supervisor:** Uyen T. Nguyen
+**Contact:** utn@eecs.yorku.ca
+The student will be responsible for developing a responsive web application. The primary focus will be the development of the user interface, web services, API, and database interactions while ensuring robust integration, system stability, and responsiveness among all application modules.
+**Responsibilities:**
+  * Development of a modern web application with a responsive user interface, and a back-end responsible for processing user input and interacting with database and various API services
+  * Optimization of the application for maximum speed and scalability
+  * Design and implementation of data storage solutions
+  * Collaborate with other team members
+**Required Skills and Qualifications:**
+  * Good knowledge of a back-end engineering with Python and Django
+  * Good understanding of front-end technologies including Javascript, HTML5 and React
+**Framework:**
+  * Good knowledge of RESTFul web API concept and architecture
+  * Good knowledge of database systems such as SQL and NoSQL
+  * Good knowledge of JSON or XML file formats and methods to consume/produce them
+  * Ability to create database schemas that represent and support business processes
+•	Understanding of code versioning tools such as Git
+•	Understanding of Job Queuing solutions such as RQ
+•	Understanding of Docker
+**Good to Have:**
+  * Understanding of designing scalable and efficient big data web applications solutions with multiple software components and background services
+  * Familiarity with Amazon Web Services (AWS)
+  * Understanding of secure coding practices and Agile software development lifecycle
+  * Recommended education level: 3rd year undergraduate or higher in Computer Science or equivalent program with industry experience
+**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 will be hired (paid) as a research assistant for at least two more terms to continue the next step of the project.
+====== Software System Engineering ======
+**Course:** 4080/4088/4090
+**Supervisor:** Uyen T. Nguyen
+**Contact:** utn@eecs.yorku.ca
+The student will assume the role of a System Engineer responsible for supporting the development team by designing and maintaining agreed-upon infrastructure, CI/CD pipelines, and code repositories.
+**Responsibilities:**
+  * Design implement, and test agreed-upon server infrastructures
+  * Ensure application components are up and running and properly inter-connected
+  * Development and maintenance of automated deployment and CI/CI pipelines
+  * Maintenance of application/server monitoring tools
+  * Design and maintain Docker containers to support various parts of the application
+  * Collaborate with other team members
+**Required Skills and Qualifications:**
+  * Good knowledge of GIT version control
+  * Good understanding of AWS services such as EC2
+  * Familiarity with Docker and Kubernetes
+  * Design and improve the CI/CD pipeline using GitLab CI
+  * Basic troubleshooting skills on Linux and Windows
+  * Troubleshoot development and production issues across multiple dev environments and operating platforms
+** Good to Have:**
+  * Strong familiarity with Amazon Web Services (AWS) services
+  * Familiarity with any CI/CD tools such as Jenkins, Ansible, Azure DevOps
+  * Familiarity with deploying cloud-based big data web applications with multiple software components and background services
+  * Recommended education level: 3rd year undergraduate or higher in Computer Science or equivalent program with industry experience
+**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 will be hired (paid) as a research assistant for at least two more terms to continue the next step of the project.
+/**
+====== Online Platform for Multilingual Social Media Mining ======
+**Supervisor:** Manos Papagelis
+**Advisor:** Andreas Strebinger, LAPS
+**Contact:** papaggel@eecs.yorku.ca
+Social Media offer a rich source to explore user sentiment and topics
+associated with certain issues, people, and objects, for example in
+society and politics, arts and entertainment, sports, or for
+companies, brands and products. Most of today's applications are
+monolingual which restricts our ability to learn about how users in
+different countries feel and think about certain concepts.
+The goal of this project is to develop an online platform which
+employs natural language processing (NLP) and computational linguistic
+methods of open source software libraries for select major languages
+to mine user-generated content in different cultures for sentiment and
+topic analysis.
+Test applications can comprise a comparison of user views on organic
+food and/or new technologies (e.g., AI) in different countries and
+cultures.
+**Required skills:** General EECS408x prerequisites, good knowledge of a back-end
+programming language such as Python, good knowledge of front-end
+technologies and platforms such as Javascript, HTML5, Angular or
+React, good knowledge of Machine Learning for natural language
+processing (NLP), good knowledge of data mining concepts, ability to
+work independently, ability to communicate clearly.
+**/
+/**
 ====== Serverless Computing Simulator ======
 **Supervisor:** Hamzeh Khazaei
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 Experience with containers and serverless functions, solid programming skills.
-/*
 ====== Heart and Voice Signal Processing For Sleep Apnea Detection ======
 **Supervisor:** Hossein Kassiri