projects
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projects [2011/09/08 02:55] – dymond | projects [2015/08/11 20:40] – jarek | ||
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- | (Listed in order received.) | + | \\ |
- | ====== Building an autonomous motorboat ====== | + | ===Genome-wide identification of plant micro RNAs=== |
- | **Supervisor**: | ||
- | **Required Background**: General CSE408x prerequisites | + | Supervisor: Katalin Hudak |
+ | The Hudak Lab in the Biology Department has an opening for a fourth-year Honours student to assist with a bioinformatics project. We study the pokeweed plant, Phytolacca americana, which displays broad-spectrum virus resistance. To evaluate pokeweed gene expression, we recently sequenced the plant’s mRNA and small RNA transcriptomes under jasmonic acid (JA) treatment. JA is a plant hormone that mediates defence against pathogens and insect herbivores. We are interested in learning how pokeweed gene expression is regulated by miRNAs during biotic stress. | ||
- | **Recommended Background**: Robotics | + | Working with the support of a PhD student, your project will involve: |
+ | 1) Prediction of micro RNA (miRNA) targets on the basis of complementary sequence matches | ||
+ | 2) Correlation of miRNA and mRNA expression changes to identify genes that are regulated by miRNAs | ||
+ | 3) Conducting pathway analysis to determine which biological processes are controlled by miRNAs | ||
+ | 4) Construction of a miRNA/ | ||
+ | This work will contribute to a scientific manuscript on miRNA-mediated gene regulation in pokeweed during response to JA. | ||
- | __Description__ | + | Requirements: |
- | An opportunity exists for a small number of students to build an autonomous motorboat using a RC motorboat | + | 1) Pre-requisites |
+ | 2) Facility | ||
+ | 3) Preference for students | ||
+ | 4) Able to begin in September 2015 | ||
+ | Learning outcomes: | ||
+ | 1) Manipulate and analyze quantitative biological data | ||
+ | 2) Develop and test hypotheses by modifying existing software and writing new script | ||
+ | 3) Manage a CentOS computer server to store and facilitate ongoing research | ||
+ | No knowledge of biology is required. | ||
+ | For more information, | ||
+ | Hudak Lab website- http:// | ||
+ | RNA sequencing- http:// | ||
+ | miRNAs- http:// | ||
- | ---- | ||
- | : | ||
- | ---- | ||
- | ====== Athenians Data Project ====== | ||
- | **Supervisor**: | ||
- | **Required Background**: | + | ===Dynamic Interface Detection and Control Project=== |
- | **Recommended Background**: Data Mining | + | **Supervisor: Michael Jenkin** |
- | __Description__ | ||
- | The Athenians Project is a multi-year, ongoing project of compiling, computerizing and studying data about the persons of ancient Athens. | ||
- | Possible project ideas for this term span from simpler ones such as | ||
- | how to present data in the best possible way, add spatial characteristics to existing data, | ||
- | add multimedia data, improve text searching, etc. to more complex ideas such as filling | ||
- | missing parts for the " | ||
- | words has been done in the past using expert knowledge. Those experts have establish | ||
- | certain rules/ | ||
- | when talking in IT terminology. Furthermore, | ||
- | the database with some likelihood. Associating probabilities with hypotheses introduces | ||
- | another opportunity for research projects. | ||
- | ---- | ||
- | : | ||
- | ---- | ||
- | ====== Three-Dimensional Context from Linear Perspective | + | Contrary to most industries, fine chemical manufacturing is dominated by batch production methods. Increasing economic, environmental and safety pressures are motivating a turn towards continuous synthesis. Rather than making products in one big flask, continuous synthesis involves performing chemical reactions by flowing reagents through a tube. Working in this way provides more control over the reaction parameters leading to increases in product quality, and process efficiency and safety. The flow chemistry industry |
- | **Supervisor**: | + | Extraction of the reaction mixture for purification and/or further processing is an important step in chemical manufacturing. This is a relatively straightforward operation in batch production, but offers several challenges for flowing processes. In order to facilitate continuous liquid extraction we require a sophisticated control system. This project involves designing, constructing and evaluating a pertinent practical problem in the field. |
- | **Requirements**: | + | A key step in the process takes place in a clear tube that is mounted vertically. The tube contains two fluids |
- | __Description__ | + | One way of solving this problem is to float a marker at the boundary between the two liquids and to monitor this boundary using a video camera. Although this approach solves the problem, it requires the introduction of a specific float within the tube. Can we build a system that monitors the boundary without resorting to the use of an artificial float? |
- | To provide visual surveillance over a large environment, | + | Specific goals of the project include: |
- | This problem can be addressed by automatically pre-mapping two-dimensional surveillance video data into three-dimensional coordinates. | + | - Develop a computer vision system that can detect and monitor |
- | Mapping surveillance video to three-dimensional coordinates requires construction | + | - Evaluate the performance |
- | This project will investigate a monocular method for inferring three-dimensional context for video surveillance. | + | - Explore the use of different illuminant/ |
- | Although the Manhattan world assumption provides powerful constraints, | + | The successful candidate(s) will have the experience |
- | The student will work closely with graduate students and postdoctoral fellows at York University, as well as researchers at other institutions involved in the project. | + | For further information please contact, |
- | For more information on the laboratory: [[http:// | + | Michael Jenkin (jenkin@cse.yorku.ca) or Michal Organ (organ@yorku.ca) |
- | ---- | + | \\ |
- | : | + | ====== DDoS Attack using Google-bots ====== |
- | ---- | + | |
- | ====== Estimating Pedestrian and Vehicle Flows from Surveillance Video ====== | + | **Supervisor**: |
- | **Supervisor**: James Elder | + | **Recommended Background**: CSE 3213 or CSE 3214, CSE 3482 |
- | **Requirements**: | + | Not long ago, botnets - networks of compromised computers - were seen as |
+ | the most effective (if not the only) means of conducting Distributed Denial | ||
+ | of Service (DDoS) attacks. However, | ||
+ | of application-layer over other types of DDoS attacks, the DDoS execution | ||
+ | landscape is becoming increasingly more diverse. An especially interesting | ||
+ | new trend is the execution of application-layer DDoS attacks by means of | ||
+ | skillfully manipulated Web-crawlers, | ||
+ | The goal of this project is to design, implement and test a real-world | ||
+ | framework consisting of the following: a) the attacker' | ||
+ | domain specially designed to attract Google-bots and then manipulate them | ||
+ | into generating attack traffic towards the target/ | ||
+ | victim' | ||
+ | component, the project will also look into the statistical/ | ||
+ | estimation of the framework' | ||
+ | to an actual (real-world) target/ | ||
- | __Description__ | ||
- | Facilities planning at both city (e.g., Toronto) and institutional (e.g., York University) scales requires accurate data on the flow of people and vehicles throughout the environment. | ||
- | The density of permanent urban video surveillance camera installations has increased dramatically over the last several years. | ||
- | This project will explore the use of computer vision algorithms | + | \\ |
+ | ====== Attentive Sensing | ||
- | The student will work closely with graduate students and postdoctoral fellows at York University, as well as researchers at other institutions involved in the project. | + | **Supervisor**: |
- | For more information on the laboratory: [[http:// | + | **Required Background**: |
+ | good math skills, knowledge of C and MATLAB programming languages | ||
+ | |||
+ | One of the challenges in remote learning is to allow students to communicate effectively with the lecturer. | ||
- | ---- | + | The goal of this project is to apply attentive sensing technology (www.elderlab.yorku.ca) to this problem. |
- | : | + | |
- | ---- | + | In particular, working with a senior graduate student or postdoctoral fellow, the successful applicant will: |
+ | |||
+ | | ||
+ | - Implement algorithms for detecting hand-raises based upon this investigation | ||
+ | | ||
- | ====== Tandem repeat detection using spectral methods ====== | ||
- | **Supervisor**: | + | ====== Attentive Sensing for Sport Video Recording Markets ====== |
- | **Required Background**: The student should have completed undergraduate courses in Algorithms and Signals and Systems. | + | **Supervisor**: James Elder |
- | **Recommended | + | **Required |
- | __Description__ | + | |
- | DNA sequences | + | The goal of this project is to modify York University’s patented attentive sensor technology to the sport video recording market. |
- | + | ||
- | Finding tandem repeats | + | The general problem |
- | + | ||
- | The student will implement existing spectral algorithms based on Fourier Transforms and on an autoregressive model. He will then make changes suggested by the supervisor, and evaluate the effect of the modifications. Throughout the course, the student is required to maintain a course Web site to report any progress and details about the project. | + | The student will work with senior graduate students, postdoctoral fellows |
- | + | ||
- | + | 1. Ground-truth available | |
- | + | 2. Evaluate current attentive | |
- | + | 3. Modify these algorithms to improve performance | |
- | ---- | + | |
- | : | + | ------------ |
- | ---- | + | |
- | + | ||
- | ====== Touch- and Gesture-based Text Entry With Automatic Error Correction ====== | + | |
- | + | ||
- | **Supervisor**: | + | |
- | + | ||
- | **Required Background**: | + | |
- | CSE3461 (or equivalent), CSE3311 (or equivalent), CSE4441 (or equivalent) | + | |
- | A student wishing | + | |
- | + | ||
- | + | ||
- | **Recommended Background**: | + | |
- | Possession of an Android touch-based phone or tablet would be an asset, but is not essential. | + | |
- | + | ||
- | __Description__ | + | |
- | This project involves extending a touch-based text entry method to include automatic error correction. | + | |
- | + | ||
- | + | ||
- | + | ||
- | ---- | + | |
- | : | + | |
- | ---- | + | |
- | ====== Early Breast Cancer Detection based on MRI’s. ====== | + | |
- | + | ||
- | **Supervisor**: | + | |
- | + | ||
- | **Required Background**: | + | |
- | + | ||
- | **Recommended background**: | + | |
- | + | ||
- | Project Description: | + | |
- | processing techniques for early detection of breast cancer using the available | + | |
- | modalities. In particular, we propose to develop time reversal beamforming imager, | + | |
- | based on our earlier work in time reversal signal processing, for detecting early stage | + | |
- | breast cancer tumours from MRI data. | + | |
- | Our preliminary work has illustrated the type of | + | |
- | results that are possible for breast cancer detection by applying time reversal signal | + | |
- | processing on MRI breast data. In this research, we propose to extend these results to | + | |
- | provide a quantitative understanding of the practical gains provided by time reversal | + | |
- | in MRI based breast cancer detection and its limitations. This will be accomplished | + | |
- | a local hospital, and running our algorithms on these datasets. The first step is | + | |
- | important to check the validity of our algorithms. The next step is to compare the | + | |
- | estimated locations of the tumours (as derived with our algorithms) to their precise | + | |
- | locations as identified by the pathologists. The second step will quantify the accuracy | + | |
- | of our estimation algorithms. | + | |
- | + | ||
- | ---- | + | |
- | : | + | |
- | ---- | + | |
- | ====== Developing Fast Speech Recognition Engine using GPU ====== | + | |
- | + | ||
- | **Supervisor**: | + | |
- | + | ||
- | **Required Background**: | + | |
- | General prerequisites | + | |
- | + | ||
- | + | ||
- | __Description__ | + | |
- | + | ||
- | Recently, Graphics Processing Units (GPU' | + | |
- | + | ||
- | During the recent years, there is an increasing demand in the job market for programmers who can use GPU's for general purpose computing tasks. This project will serve as a perfect vehicle for you to learn such a cutting-edge programming skill. | + | |
- | + | ||
- | References | + | |
- | + | ||
- | [1] Kisun You, Jike Chong, Youngmin Yi, Gonina, E., Hughes, C.J., Yen-Kuang Chen, Wonyong Sung, Keutzer, K., " | + | |
- | + | ||
- | [2] Jike Chong, Ekaterina Gonina, Youngmin Yi, Kurt Keutzer, "A Fully Data Parallel WFST-based Large Vocabulary Continuous Speech Recognition on a Graphics Processing Unit," Proc. of Interspeech 2009, Brigton, UK, 2009. | + | |
- | ---- | + | |
- | : | + | |
- | ---- | + | |
- | ====== Solving Polynomials ====== | + | |
- | + | ||
- | **Supervisor**: | + | |
- | + | ||
- | **Required Background**: | + | |
- | General prerequisites plus course in Numerical Methods, and knowledge of programming, | + | |
- | + | ||
- | + | ||
- | __Description__ | + | |
- | + | ||
- | In this project you will compare several efficient methods for solving polynomials. | + | |
- | ---- | + | |
- | : | + | |
- | ---- | + | |
- | ====== MF7114 Assembler ====== | + | |
- | + | ||
- | **Supervisor**: | + | |
- | **Required Background**: | + | \\ |
- | Some knowledge of microprocessor architecture and assembly programming | + | ====== Hunting for Bugs in Logging: applying JPF to log4j ====== |
- | __Description__ | + | **Supervisor: |
- | Every microprocessor | + | Description: |
+ | Java PathFinder (JPF) is a tool that can detect bugs in Java code. | ||
+ | The Java library Apache log4j allows developers | ||
+ | statements are output. | ||
+ | to detect bugs in log4j by means of JPF with very limited succes. | ||
- | Background Information: | + | Recently, |
- | manufactured | + | an extension |
- | implementation of an assembler possible. More information on | + | is to apply this extension to log4j. |
- | http://www.cse.yorku.ca/ | + | [1] David A. Dickey, B. Sinem Dorter, J. Michael German, Benjamin D. Madore, Mark W. Piper, Gabriel L. Zenarosa. " |
- | ---- | + | **Required Background: |
- | : | + | \\ |
- | ---- | + | ------------ |
- | ====== MF7114 Debugger ====== | + | \\ |
- | **Supervisor**: | ||
- | **Required Background**: | ||
- | Some knowledge of microprocessor architecture and assembly programming | ||
- | __Description__ | ||
- | Every microprocessor is supported by a variety of software tools, such as assemblers, | ||
- | Background Information: | ||
- | manufactured in Canada (by Microsystems International Ltd, or MIL) and one of the earliest microprocessors ever produced. The microprocessor was used, among other applications as the CPU of the CPS-1 microcomputer. Although none of the CPS/1 computers (nor MF7114 software) have survived, technical information about the microprocessor and the CPS-1 has been preserved. This makes the design and | ||
- | implementation of a debugger possible. More information on | ||
- | http:// | + | ====== Mining Software Repositories Data====== |
- | ---- | + | **Supervisor:** Zhen Ming (Jack) Jiang (zmjiang at cse dot yorku dot ca) |
- | : | + | |
- | ---- | + | |
- | ======Web Crawlers Behaving Like Humans: Are We There Yet!? ====== | + | **Required Background:** Good programming skills in Java; Good analytical and communication skills; Knowledge in AI and statistics; Interested in large scale software analysis |
- | **Supervisor**: Natalija Vlajic | + | **Short Description: |
- | **Required Background**: | + | \\ |
+ | ------------------ | ||
+ | \\ | ||
- | __Description__ | ||
+ | ======Model-based Design and Development of Embedded Systems with Code Generation Tools====== | ||
- | Distributed Denial of Service (DDoS) attacks are recognized as one | + | **Supervisor:** Jia Xu |
- | of the most serious threats to today' | + | |
- | simplicity of their execution and their ability to severely degrade | + | |
- | the quality at which Web-based services are offered to the end users. | + | |
- | An especially challenging form of DDoS attacks are the so-called | + | |
- | Application-Layer DDoS attacks. Namely: | + | |
- | 1) In Application-Layer DDoS attacks, the attackers utilize a flood | + | |
- | of legitimate-looking Layer-7 network sessions (i.e., sessions that | + | |
- | are generally hard to detect and/or filter out by a firewall or an | + | |
- | IDS system); | + | |
- | 2) Increasingly, | + | |
- | cleverly programmed crawler that executes a semi-random walk over the | + | |
- | web site links, thereby attempting to appear as a legitimate human | + | |
- | visitor. | + | |
- | The goal of this project is to investigate the state of the art in | + | **Required Background: |
- | malicious web crawler design. In particular, the project will look | + | such as Arduino. |
- | into the challenges of designing | + | |
- | attacker point of view - one of these challenges being the estimation | + | |
- | of web-page popularity assuming no a priori access to the web-logs | + | |
- | of the victim web-site. | + | |
- | ---- | + | |
- | : | + | |
- | ---- | + | |
- | ====== GFI Sandbox | + | |
- | **Supervisor**: Natalija Vlajic | + | **Project Description: |
- | **Required Background**: | + | Model-based design with code generation tools can be used for simulation, rapid prototyping, |
+ | \\ | ||
+ | ------------------ | ||
+ | \\ | ||
- | __Description__ | + | ======C2000 Concerto Microcontrollers====== |
- | GFI Sandbox is a sophisticated industry-leading tool for quick and | + | **Supervisor:** Jia Xu |
- | safe analysis of malware behaviour. The goals of this project are: | + | |
- | 1) familiarize yourself with the operation of GFI Sandbox; | + | |
- | 2) using readily available GFI Sandbox Feeds (i.e., ThreatTrack Feeds), | + | |
- | build a database of malware designed specifically for execution of | + | |
- | DDoS-attacks - the so-called botnet malware; | + | |
- | 3) examine the behaviour of the collected malware 'upon execution'; | + | |
- | 4) propose and build an environment - comprising the standard freeware | + | |
- | security tools - for longer term (beyond immediate execution) analysis | + | |
- | of the collected malware. | + | |
+ | **Required Background: | ||
+ | strong C programming skills, solid knowledge of microcontrollers | ||
- | ---- | + | **Description: |
- | : | + | two cores on a single-chip with on-chip low latency interprocessor communication between the two cores: a C28x 32-bit control core for |
- | ---- | + | real-time control with faster/more loops and small sampling window; |
+ | and an ARM 32-bit Cortex-M3 host core for communications and general purpose. The selected student will evaluate the capabilities of the | ||
+ | C2000 Concerto family of microcontrollers through testing and investigating open source software for real-time control applications | ||
+ | that runs on C2000 Concerto Microcontrollers. | ||
- | Network analysis of EEG data: Understanding connections in the brain | + | \\ |
+ | ------------------ | ||
+ | \\ | ||
- | ====== | + | ======Real-Time Bidding Platform====== |
- | **Supervisor**: Andrew Eckford | + | **Supervisor:** Jia Xu |
- | **Required Background**: CSE 3213 (Computer Networks), CSE 3451 (Signals and Systems), and MATH 2030 (Elementary Probability); | + | **Required Background:** At least a B+ in Operating System Fundamentals |
+ | (CSE3221), strong Ubuntu/ | ||
- | **Preferred**: At least a B in all of the above courses | + | **Description: |
+ | \\ | ||
+ | ------------------ | ||
+ | \\ | ||
- | __Description__ | + | ======Circuit |
- | Electroencephalogram (EEG) data indicates electrical activity at particular locations in the brain. Using EEG data from multiple sensors, it is possible to find correlations among the measurements, | + | |
- | The tools that are used to analyze communication networks can also be used to analyze brain networks. In this interdisciplinary project, you will work with a collection of EEG data to identify correlated measurements, | + | **Supervisor: |
+ | **Description: | ||
- | ---- | + | **Required Background** A background in undergraduate-level electronics is very important. |
- | : | + | |
- | ---- | + | |
+ | \\ | ||
+ | ------------------ | ||
+ | \\ | ||
+ | More project proposals may be added here in the first week of the winter term. | ||
+ | \\ | ||
+ | ------------------ | ||
+ | \\ | ||
+ | \\ |
projects.txt · Last modified: 2016/01/13 20:05 by stevenc