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--- projects [2020/04/10 07:24] – aan
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 ====== Proposed Projects   ======
-Below are a list of projects proposed by faculty members for Summer 2020. More project descriptions will be added once they come in. 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 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.
+====== 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
-<hkh@eecs.yorku.ca>
+**Contact:** <hkh@eecs.yorku.ca>
 We are amid an evolutionary paradigm shift in cloud computing towards
@@ Line 30: / Line 63: @@
 ====== Blockchain-based Serverless Computing Platforms ======
 **Supervisor:** Hamzeh Khazaei
-<hkh@eecs.yorku.ca>
+**Contact:** <hkh@eecs.yorku.ca>
 As the latest paradigm in cloud computing, serverless computing or functionas-a-service (FaaS) has recently gained a lot of attention both in academia and
@@ Line 55: / Line 89: @@
 **Recommended skills:** Basic knowledge in Linux containers and microservice architecture, blockchain systems, Python and serverless computing.
+====== The Platform for Modeling and Optimizing Serverless Applications ======
+**Supervisor:** Hamzeh Khazaei
+**Contact:** <hkh@eecs.yorku.ca>
+Coupled with the development of lightweight virtualization, specifically containers, is a growing trend in the paradigm of cloud computing shifting from Infrastructure-as-a-Service (IaaS) to Function-as-a-Service (FaaS). Many cloud service providers have launched their FaaS platforms where developers can host serverless functions with high-scalability, pay-as-you-go billing model, and reduced management overhead. However, such a new trend raises new important questions, including the predictability and optimization of the performance and cost of serverless applications.
+In PACS Lab, researchers have been working on addressing these urgent needs in the serverless computing area not yet addressed by industries and academics. This project is based on our published and submitted papers in which we give practical solutions to performance modeling and optimization problems for the serverless computing paradigm.
+This project will solve pain points for serverless application developers by providing an online ready-to-use platform for profiling, predicting, and optimizing serverless applications. The student will involve in developing a toolkit that integrates multiple APIs of major cloud service providers, automates the deployment, test, and performance profiling of serverless applications, and leverages analytical models to give developers informed performance and optimized application configurations. The project will involve studying the serverless architecture and developing a web application.
+**Required skills:** General EECS408x prerequisites; experience with major cloud computing platforms and APIs, experience with any web framework.
+**Recommended skills:**
+Experience with containers and serverless functions, solid programming skills.
-/*
 ====== Heart and Voice Signal Processing For Sleep Apnea Detection ======
 **Supervisor:** Hossein Kassiri