Supervisor: Afshin Rezaei

The project is to develop a user-friendly Graphical User Interface (GUI) for a power system simulator program. Similar to all circuit simulation programs, the GUI should provide a library of the system components. These elements include not only the basic circuit elements such as resistor, capacitor, and inductor but also more complex equipment models such as transformers, generators, etc. The library elements can be dragged and dropped on the design page. The user would be also able to add new elements to the library. Each element has its own dialog box for entering the parameters which is displayed by double-clicking on that element. The elements will be connected by the user. The GUI should provide the common tasks for drawing, removing, grouping, and construction of a circuit. The GUI can write an output data file of the system element parameters and connections and call an available executable program to run. After, the GUI will display the simulation results.

Required background: General CSE408x prerequisites, good programming skill, good knowledge of GUI design tools

Supervisor: Afshin Rezaei

Finding the optimum system condition and maximum/minimum of analytical or numerical functions are of fundamental needs and widely used in various fields of Engineering. This project is to develop a standalone optimization toolbox based on Intel Visual FORTRAN for power system applications. FORTRAN language with its highly developed math library is a powerful tool to solve complicated mathematical problems. A group of such mathematical problems are those dealing with the optimization algorithms particularly the curve fitting and global optimization methods such as genetic algorithm. In this project, the developer is expected to explore Intel FORTRAN Math Kernel Library (MKL) and Intel Mathematics and Statistics Library (IMSL) and develop a program code in FORTRAN to call built-in functions and perform the requested optimizations specified by the user. Due to compatibility of the MS Visual Studio with both FORTRAN and C++, some parts of the code can also be developed in C++.

Required background: General CSE408x prerequisites, good programming skill, good math skill, good knowledge of Intel FORTRAN and C++

Supervisors: Petros Faloutsos (EECS) and Iris Epstein (School of Nursing)

Palpation of head and neck region is an integral part of a complete physical health assessment performed by both physicians (e.g., physician assistant; family doctor; Ear Nose and throat specialist and surgeon) and Nurses (Nurse practitioners, registered nurses). During palpation practitioners use their sense of touch with knowledge of anatomy of the head and neck to feel, differentiate and characterize the masses within their anatomical landmark (e.g.,lymph nodes; fat; size; texture; movements). With increase prevalence of cancer in head and neck early detection and appropriate referral and treatments are paramount. In 2016, George Brown College Capstone Engineering program together with the help of the nursing lab simulation specialist constructed a head and neck normal task trainer (prototype 1) with 32 touch sensors (see image bellow). During a multidiscipline conference in May 2017 we tested the task trainer with over 47 experts’ practitioners (Doctors and Nurses). Two important themes emerged from the survey. First, the need to render the task trainer more realistic (e.g., the touch of the skin and bonny structure). The second, focus on making the task trainer more interactive. The purpose of this project is to create a second prototype with an interactive gaming capabilities during a head to neck palpation. Perhaps creating an algorithm gaming from simple to complex palpation assessment skills (e.g., to create a game around not only palpating to locate the mass but also to characterizing it.). Possible directions: 1. Head to neck anatomical structure - Making the task trainer more “real” with anatomical / bone/ cartilage/ glands structures. 2. Head and neck skin - Because we are focusing on palpation touching the skin and making the skin respond to touch is important. 3. Head to neck engaging and interactive - Several health care providers perform palpation. In fact there is a hierarchy among them (nurse vs doctor; family doctor vs Ear Nose and throat). Creating some kind of interactive game to find and characterize the gland with multidiscipline.

Required Background: Standard prerequisites,some knowledge of C++.

Other experience: Knowledge of computer graphics (e.g. EECS3431) and familiarity with programming computer games would be useful for the gaming aspect, while familiarity with making and 3D printing might be useful for developing the prototype system.

Resources and readings: Here are two links to articles we published. The reference list has more resources http://www.ijocs.org/clinical-journal/head-to-neck-task-trainer-to-teach-palpation-skills-back-to-basic-12036.html http://www.sciedu.ca/journal/index.php/jnep/article/view/11461

Supervisor: Michael S. Brown

Cameras have a number of processing steps that convert the incoming sensor image to the final sRGB-JPEG image. These steps are collectively referred to as the “camera processing pipeline”. The camera processing pipeline has traditionally been fixed in a camera's onboard hardware. This made changing it difficult to develop a custom camera application. The new Camera 2 API for Android, however, allows developers significant more control over the entire imaging pipeline.

The primary goal of this project is to develop custom camera applications that manipulate individual components of the imaging pipeline (e.g., custom white-balance, custom colour mapping, custom tone-manipulation, etc.). These applications will all be built on top of the Camera 2 API for Android phones.

Required Background: General EECS 408x prerequisites, knowledgeable with photography, experience with Java programming for Android platforms.

Supervisor: Burton Ma

Trans-esophageal echocardiography (TEE) is the standard of care for most cardiac surgeries and interventional cardiology procedures. It uses a thin and flexible ultrasound probe that is inserted down the esophagus in position beside the heart, and the echocardiographer adjusts the position and orientation of the probe from outside. For new clinicians, learning how to adjust the probe into the correct location for various views of the heart can be quite challenging.

The primary goal of this project is to develop an open source, inexpensive software simulation for training clinicians in the use of TEE ultrasound. Starting with a 3D-plus-time CT or MRI heart dataset, we will create simulated ultrasound images, and use a mouse to simulate the translation and rotation of the ultrasound probe. The software platform will render the simulated ultrasound, and provide the user with feedback on how well they can identify the standard TEE views. This project will involve a collaboration with clinicians in Toronto and London, Ontario.

Required Background: General CSE408x prerequisites,some knowledge of C++, knowledge of computer graphics would be useful (e.g. EECS3431)

Supervisor: Vassilios Tzerpos

Visualizing and navigating through 3D fractals is very cool. Check out an example here: https://www.youtube.com/watch?v=oo3f2hjV_AM

This project will investigate the connection between music and 3D fractal visualizations, both in terms of generating music to match the visualization, as well as creating a visualization to match an existing piece of music. The project will start with a literature survey of the state of the art in this field and then focus on developing a prototype music/visualization generation tool.

Required Background: General CSE408x prerequisites, good knowledge of C++

Supervisor: Vassilios Tzerpos

While humans are quite good at extracting musical information from audio, such as tempo and time signature, computers have room for improvement in this regard.

This project will use the JUCE framework to create software that extracts such information from audio files. Existing algorithms will be implemented and compared, and possibly improved. The output will be both a stand-alone application, as well as plugins for digital audio workstations used in the music industry, such as Pro Tools, Ableton Live etc.

Required Background: General CSE408x prerequisites, good knowledge of C++

Supervisor: M. Baljko

The wealth of data to be obtained from online communities is already well acknowledged. This EECS4080 project will investigate techniques for obtaining, analyzing, and visualizing this data in conjunction with a digital humanities research project. The digital humanities project is seeking to investigate questions about how disability, ableism, and activism is taken up within on-line discourse within certain types of online communities. The 4080 project will entail, among other tasks, tasks such as: to extend an existing code base that performs web-scraping; to develop scripts and techniques to work with large volumes of data; to analyze scraped data; and to visualize results. This 4080 project will entail working closely with the supervisor and a doctoral candidate, with weekly meetings.

Required Background: General EECS408x prerequisites; strong software design and implementation skills (Java), prior experience with (or willingness to learn) information visualization software (Tableau), an undergraduate course in statistics is preferred

Supervisor: M. Baljko

The objective of the 'ENAbling MEdia for Literacy' (ENAMEL) research project is to develop and to evaluate the digital technologies that are required by stakeholders. These technologies tend toward low-cost, DIY variants (such as 3D printing and low-cost single-board computers, such as Raspberry Pi and Arduino) and open source software. These technologies provide innovative and new approaches to supporting the development of functional knowledge in learners (primarily children) concerning printed and written materials. This project espouses user-centered, rather than technology-centered, design approaches, and seeks to critically reflect on the hidden assumptions, ideologies and values underlying the design of such technologies. The ENAMEL project is currently supporting two projects. The first project is focused on supporting learning of early-level Braille by children (in North America). The second project is focused on capacity building for grass-roots production of Assistive Technology (focused on speech and language supports) for use in Special Education contexts in an East Africa country. This 4080 project will investigate the design, fabrication, and evaluation techniques for either the Braille project or the Speech/Language Assistive Technology project. The project will start with an in-depth learning phase so that the student becomes familiar with the current state of this multi-year research project. The remainder of the project will entail either software or hardware development or conducting a usability study, depending on the both the needs of the project and the learning objectives of the 4080 student. The student must be able to work effectively in a multi-disciplinary team environment.

Required Background: General EECS408x prerequisites; EECS3461; knowledge in at least two of the following knowledge areas: Java, iterative UI design methodologies, tangible interface building (using Raspberry Pi or other single board computers or microcontrollers), 3D modeling (preferably OpenSCAD), assistive technologies, critical disability studies

Supervisor: Hossein Kassiri

The student will be responsible for the design and testing of a printed circuit board (PCB) that receives brain electrophysiological signals from multiple recording sites; analyze, decode, and organizes them; and transmit them through a wireless link to a handheld (e.g., cellphone) or stationary (e.g. a laptop) device. The board must be designed while the strict power and area budgets of a medical device taken into account. Once developed, the prototype along with the currently‐available wearable brain monitoring device will form a complete wireless wearable solution for point‐of‐care brain monitoring and diagnosis applications.

Required Background: Solid knowledge of electrical and electronic circuits, proficiency in Verilog and MATLAB, previous PCB design experience is not a must but definitely is a plus.

Supervisors: Michael Jenkin and Patrick Dymond

Project: How should a group of autonomous agents moving within multiple locations choose and maintain a leader to coordinate and control them? Utilizing the concept of an infection algorithm — a process much like the spread of a disease in which agents infect each other with information — it is possible to develop a probabilistic approach to this kind of leader election problem. Solutions to this type of problem finds wide application in distributed computing, and in particular distributed computing of autonomous agents and sensors which must compute information about control structures with limited information about the presence/absence of potential leaders in the environment.

To make this project more specific, and given the limited time available for an undergraduate student project, this project will explore certain properties of leader election algorithms, both with real and simulated groups of robots. Using a simulator, performance bottlenecks in the infection algorithm will be studied, considering cases where direct communication is limited to agents in the same local area. Simulations will be supported using a collection of real devices (Android devices) who can communicate with each other in the local environment using bluetooth and/or WIFI. If time permits, the project will also study possible enhancements of the infection algorithm as well as develop better upper bounds for the problem.

Required skills: knowledge of Java or Python. Interest in algorithms for a distributed collection of simple robot agents. Completion of 3rd year courses in computer science or computer engineering.

Supervisors: Michael Jenkin and Patrick Dymond

Project: How does changing the model of synchronization changing run time bounds on infection algorithms?

Infection algorithms are a class of algorithms within which individual agents exchange information via infection. That is, the algorithm proceeds by the various agents transmitting (infecting) each other with information. Under an assumption of synchronization — that is, a model in which no two agents can infect each other at precisely the same time — it is possible to derive models of expected time until all agents have been infected. But how does this algorithm adapt when agents can actually infect each other simultaneously? This project will explore this problem. First, a simple simulation algorithm will be implemented to test infection rates when it is assumed that at a given time instant only one infection can occur. This algorithm will then be generalized to a model under which within a given time interval more than one infection can occur. Experimental validation will explore how existing infection algorithms perform under this more realistic model. Simulations will be supported using a collection of real devices (Android devices) who can communicate with each other in the local environment using bluetooth and/or WIFI.

Required skills: knowledge of Java or Python. Interest in algorithms for a distributed collection of simple robot agents. Completion of 3rd year courses in computer science or computer engineering.

Supervisors: Michael Jenkin and Patrick Dymond

Project: How can a simple SLAM algorithm be improved if it is known a priori that there exists in the environment a single unique landmark that provides both position and orientation information?

SLAM algorithms have been developed for a large number of different environments, and for relatively straightforward environments such as those found indoors, the problem can in many ways be considered solved. However, current algorithms have in the main concentrated on a general version of the problem in which no a priori information is assumed about the environment. From theoretical results we know that a single directional landmark is sufficient to solve the SLAM problem algorithmically, but can we exploit this result within the traditional probabilistic framework found in SLAM algorithms? Starting with a standard vision-based SLAM algorithm, this project will explore how a single landmark can be used to drive exploration and critically, drive algorithmic loop closure.

Required skills: knowledge of Java or Python. Interest in algorithms for robots. Completion of 3rd year courses in computer science or computer engineering.

Supervisor: Robert Allison

We have a new and unique fully immersive virtual environment at York. The student would develop interactive 3D virtual worlds to study self motion perception and human computer interaction in a virtual world. In particular, working with a senior graduate student or postdoctoral fellow, the successful applicant would model 3D environments, render them in a virtual reality display and develop/implement interaction methods to control and interact with the simulation. Artistic background or skill would be an asset but is not required.

Required Background: General EECS408x prerequisites, good programming skills, previous work with computer graphics would be helpful

Supervisor: Robert Allison

Simulating effective walking in an immersive virtual environment is challenging. Working with a senior graduate student, the successful applicant would help to develop a circular treadmill interface to support virtual walking metaphors.

Required Background: General EECS408x prerequisites, good programming and mechanical skills

Supervisor: James Smith

3D printers are an enabling technology for engineering design. However most low- to medium-end printers can only extrude plastics through a hot-end extrusion system. A local company has developed a nozzle and pump system for pastes that can be integrated with existing printers. A student group is sought to design a mounting bracket for an existing TAZ 4 printer that can be used to augment its ABS extruder with a Discov3ry paste extruder. The bracket is to be printed with the TAZ and the design is to be released publicly to the open-source community. Sample prints, calibration routines and possible modifications to the printer's software may be required. Experience with programming and hardware are important prerequisites.

Required Background: General CSE408x prerequisites

Supervisor: Hany Farag

Multi-agent systems have been mentioned recently as a potential technology for several operational control objectives in smart power grids. The multi-agents technology allows the rapid and detailed creation of a system model and creates a robust framework for distributed control. The distributed control structure consists of components called control agents. These control agents try, through communication and negotiation with other control agents, to: 1) determine the current state of the system and/or subsystems and 2) make decisions (set their local actuators or communicate with other agents) in such a way that their own objectives are met as closely as possible and any constraints are satisfied.

This project aims to implement formulated distributed constraint optimization (DCOP) in a multi-agent platform for two objectives in smart grids: 1) voltage regulation and 2) electricity market,. There are several Java-based open source platforms for peer-to-peer agent based applications e.g. (JADE, Jadex, Jason,..etc). With the help of the supervisor, the student will choose the platform that suits the required applications. Also, the student will implement the formulated DCOP in the suitable multi-agent platform to test its effectiveness and robustness. Toward that end, an interface between the multi-agent platform in Java environment and the power grid simulator in MATLAB environment is required to transfer the measurements from MATLAB to the multi-agent platform and then transfer the actions from the multi-agent platform to MATLAB in real-time.

The student should be a strong Java and MATLAB programmer. He should have prior knowledge about multi-agent platforms such as JADE. The work involves reading and understanding the formulated DCOP in smart grids and working with the supervisor and master/PhD student(s) to implement the developed algorithms and to measure the performance of the developed algorithm(s) in the multi-agent platform.

Required Background: General CSE408x prerequisites

Supervisor: Suprakash Datta

Clustering is a basic technique for analyzing data sets. Clustering is the process of grouping data points in a way that points within a group are more similar to each other than points in other clusters. Many clustering algorithms have been developed over the years. However no single algorithm works well for all data sets. Further, most clustering algorithms have running times of the order of n^2 or n^3, so that they are not feasible for data sets with hundreds of thousands of points. In this project we will design good clustering algorithms for large real data sets. In particular we are interested in Biological data sets.

Our data sets will include those obtained from Flow Cytometry data. Flow Cytometry is a common technique in many areas of Biology, particularly Immunology. Typical usage involves testing a blood sample for 25 attributes on a per-cell basis, and thus typical data sets are arrays of 500,000 points in a 25 dimensional space. The aim is to identify clusters that correspond to a biologist's notion of a cell “population”. In addition to the size of the data, the factors that make this problem difficult are heterogeneity of population sizes and densities and overlapping populations. With the help of collaborators we proposed an accurate algorithm called SWIFT (Cytometry A. 2014 May;85(5):408-33) that successfully finds small cell populations of interest to Immunologists. This project attempts to design and implement algorithms that are faster than SWIFT but at least as accurate. The supervisor has collaborators in Immunology who are experts in interpreting and analyzing Flow Cytometry data. Their expertise will be used to design and validate effective clustering algorithms that can run on large data sets.

No Biology knowledge is required. The student should be a strong programmer. Knowledge of C/C++ is desirable but not essential. The work involves reading and understanding existing algorithms and working with the supervisor to design and implement improved algorithms and to measure the performance of the proposed algorithm(s).

For more information, please send email to datta@cse.yorku.ca.

Required Background: General EECS408x prerequisites

Supervisor: Suprakash Datta

Optimization is a crucial step in many computational problems. For computational problems that seem (or are known to be) intractable, metaheuristic-based techniques often work well in practice. These are typically randomized algorithms, often inspired by physical or biological systems. Examples of such algorithms include simulated annealing, genetic algorithms and ant colony optimization. In this project we will focus on particle swarm optimization (PSO), a technique inspired by the search for food by flocks of birds or schools of fish. Briefly, a set (or population) of candidate solutions (called particles) are maintained at all times by the algorithm. These particles move in the search-space using simple rules that make use of the best solutions found so far by the particle as well as by the swarm. Movement of particles result in new particles being generated. The process is repeated until some termination criteria are met and the best solution found is output by the algorithm. While there is no guarantee of optimality, PSO has been shown to produce good or very good solutions for many practical problems. Many variants of PSO's have been proposed. In this problem we will study the performance of some PSO variants on both artificial and real optimization problems.

The student should be a strong programmer. A good grasp of algorithms and knowledge of C/C++ are desirable but not essential. The work involves reading and understanding existing algorithms and working with the supervisor to design and implement improved algorithms and to measure the performance of the proposed algorithm(s).

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. Please note: no previous knowledge of biology is required.

For more information, please see: Hudak Lab website- http://hudak.lab.yorku.ca/

RNA sequencing- http://www.illumina.com/applications/sequencing/rna.html

miRNAs- http://en.wikipedia.org/wiki/MicroRNA

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/target interaction network to visualize predictions This work will contribute to a scientific manuscript on miRNA-mediated gene regulation in pokeweed during response to JA.

Requirements: Pre-requisites as per EECS Calendar. Facility with script-writing/modification (in Perl or Python). Preference for students with knowledge of statistics and familiarity with R programming.

Supervisor: Natalija Vlajic

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, with the growing popularity and prevalence 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, such as Google-bots. The goal of this project is to design, implement and test a real-world framework consisting of the following: a) the attacker's web-accessible domain specially designed to attract Google-bots and then manipulate them into generating attack traffic towards the target/victim site; b) the victim's Web site set up in Amazon S3 cloud. In addition to the hands-on component, the project will also look into the statistical/numerical estimation of the framework's anticipated 'attack potential' relative to an actual (real-world) target/victim site.

Recommended Background: EECS 3213 or EECS 3214, EECS 3482

Supervisor: James Elder

One of the challenges in remote learning is to allow students to communicate effectively with the lecturer. For example, when a student asks a question, communication will be more effective if the instructor has a zoomed view of the student’s face, so that s/he can interpret expressions etc. The goal of this project is to apply attentive sensing technology (www.elderlab.yorku.ca) to this problem. This technology is able to monitor a large environment such as a classroom and direct a high-resolution ‘attentive’ sensor to events of interest. In particular, working with a senior graduate student or postdoctoral fellow, the successful applicant will:

Study the problem of detecting hand-raises in the preattentive sensor stream Implement algorithms for detecting hand-raises based upon this investigation Evaluate these algorithms in a real-classroom setting, using proprietary attentive sensing technology

Required Background: General CSE408x prerequisites, good programming skills, good math skills, knowledge of C and MATLAB programming languages

Supervisor: James Elder

The goal of this project is to modify York University’s patented attentive sensor technology to the sport video recording market. Specific application domains under investigation include skiing, indoor BMX parks, and horse tracks. The general problem is to use attentive sensing technology (www.elderlab.yorku.ca) to visually detect and track multiple moving agents (e.g., skiers, riders, horses) and to select specific agents for active high-resolution smooth pursuit. The student will work with senior graduate students, postdoctoral fellows and research scientists to help modify the attentive sensing technology to operate in these domains. Specific tasks include: 1. Ground-truth available datasets 2. Evaluate current attentive algorithms on these datasets 3. Modify these algorithms to improve performance on these datasets.

Required Background: Good programming skills; Good math skills; Knowledge of C and MATLAB programming languages

Supervisor: Franck van Breugel

JPF, which is short for Java PathFinder, is an open source tool that has been developed at NASA's Ames Research Center. The aim of JPF is to find bugs in Java code. Instead of using testing to find those bugs, JPF uses model checking. The facts that JPF is downloaded hundreds of times per month and that some of the key papers on JPF have been cited more than a thousand times reflect the popularity of JPF. In fact it is the most popular model checker for Java.

A study done by Cambridge University in 2014 found that the global cost of debugging code has risen to $312 billion annually. Furthermore, on average software developers spend 50% of their programming time with finding and fixing bugs. As a consequence, advocating the use tools, such as JPF, may have significant impact.

Installing JPF is far from trivial. The tool itself has been implemented in Java. Therefore, it should, in theory, be feasible to encapsulate JPF in a Java archive (jar) file. This would make it significantly simplifying the installation process of JPF and, therefore, make the tool more easily accessible to its potential users.

The aim of this project is to attempt to put JPF in a jar. Since JPF relies on a number of configuration files, so-called Java properties files, incorporating these properly into the jar is one of the challenges. Setting JPF's classpath is another challenge. Since JPF changes almost on a daily basis, our modifications to JPF should ideally be limited to only a few classes, yet another challenge.

In this project you may collaborate with graduate students of the DisCoVeri group (discoveri.eecs.yorku.ca) and computer scientists of NASA. For more information, feel free to send email to franck@cse.yorku.ca.

Required Background: General CSE408x prerequisites

Supervisor: Jia Xu

Model-based design with code generation tools can be used for simulation, rapid prototyping, and hardware-in-the-loop testing of embedded systems. This project explores model-based design and development of embedded systems on various hardware platforms with code generation tools. The selected student will develop and test embedded systems using model-based design and code generation tools such as MathWorks MATLAB /Simulink Coder.

Required Background: At least a B+ in Embedded Systems (EECS 3215), MATLAB, C programming skills, solid experience in using a microcontroller such as Arduino.

Supervisor: Jia Xu

The C2000 Concerto family of microcontrollers combines 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.

Required Background: At least a B+ in Embedded Systems (EECS3215), strong C programming skills, solid knowledge of microcontrollers

Supervisor: Jia Xu

Description: Real-time bidding (RTB) is a new method of selling and buying online display advertising in real-time one ad impression at a time. Once a bid request has been sent out, all bids must be received within a strict deadline - generally under 100 milliseconds, including network latency. This project explores RTBkit, an open source SDK allowing developers to create customized real time ad bidding systems (for Media Buyers/Bidders).

Required Background: At least a B+ in Operating System Fundamentals (EECS3221), strong Ubuntu/Linux, C++ programming, GCC, TCP/IP skills

Supervisor: Sebastian Magierowski

The project requires the construction of components for a ground penetrating radar. The students would have to design microwave boards for the high-frequency components of this unit, on both the transmitter and the receiver. On the transmitter side the board would take a 5-MHz input clock, run it through a series of off-the-shelf amplifiers and then through a shaping circuit that would convert the input into an outgoing series of pulses (still at 5-MHz repetition rate) less than 400-ps in duration each. The bandwidth of the signal is roughly 2-8 GHz and hence requires very careful board layout. The receiver would be a time-shifted sampler, used to sample the returning pulses in progressive periods. This radar circuit is ultimately intended to be positioned on a rover doing ground analysis.

Required Background: A background in undergraduate-level electronics is very important. Experience with board level implementations and knowledge of microstrip lines would be helpful, otherwise the basics would have to be picked up during the project.

Supervisor: Scott MacKenzie

Touchscreen mobile devices commonly use a built-in accelerometer to sense movement or tilting actions of the device. Tilt is commonly used the change the orientation of the display between portrait and landscape. Gaming is another common use for tilting actions. However, tilt may also be used for target selection, as a replacement for touch. This research project will evaluate tilt as an input primitive for target selection on touchscreen mobile devices.

Readings: MacKenzie, I. S., & Teather, R. J. (2012). FittsTilt: The application of Fitts’ law to tilt-based interaction. Proceedings of the Seventh Nordic Conference on Human-Computer Interaction – NordiCHI 2012, pp. 568-577. New York: ACM.

Required Background: General 4080 prerequisites, EECS 3461, and (preferably) EECS 4441. Interest in user interfaces and human-computer interaction (HCI). Students can use their own Android phone for the project or one supplied by the course supervisor.

Supervisor: James Elder

One of the challenges in remote learning is to allow students to communicate effectively with the lecturer. For example, when a student asks a question, communication will be more effective if the instructor has a zoomed view of the student’s face, so that s/he can interpret expressions etc. The goal of this project is to apply attentive sensing technology (www.elderlab.yorku.ca) to this problem. This technology is able to monitor a large environment such as a classroom and direct a high-resolution ‘attentive’ sensor to events of interest. In particular, working with a senior graduate student or postdoctoral fellow, the successful applicant will:

Study the problem of detecting hand-raises in the preattentive sensor stream Implement algorithms for detecting hand-raises based upon this investigation Evaluate these algorithms in a real-classroom setting, using proprietary attentive sensing technology.

Required Background: General CSE408x prerequisites, good programming skills, good math skills, knowledge of C and MATLAB programming languages

Supervisor: James Elder

The goal of this project is to modify York University’s patented attentive sensor technology to the sport video recording market. Specific application domains under investigation include skiing, indoor BMX parks, and horse tracks. The general problem is to use attentive sensing technology (www.elderlab.yorku.ca) to visually detect and track multiple moving agents (e.g., skiers, riders, horses) and to select specific agents for active high-resolution smooth pursuit. The student will work with senior graduate students, postdoctoral fellows and research scientists to help modify the attentive sensing technology to operate in these domains. Specific tasks include: 1. Ground-truth available datasets 2. Evaluate current attentive algorithms on these datasets 3. Modify these algorithms to improve performance on these datasets.

Required Background: Good programming skills; Good math skills; Knowledge of C and MATLAB programming languages.

Supervisor: Jeff Edmonds

Structural equation modeling (SEM) is a statistical technique that is becoming increasingly popular in the educational and behavioral sciences. SEM allows researchers to test the validity of hypothesized models involving complex relationships among multiple variables. Collected data is used to estimate the parameters of the equations and assessing the fit of the model.

The software required is an application that allows researchers to define their hypothesized models visually and will output the correct syntax for the analytical software of their choosing.

To date a promising functional application has been developed in JAVA by a Computer Science student as a 4080 project. The existing software allows the user to draw a path diagram and outputs code for the R package sem. There are a number of improvements to be made (refinements and additions to graphical user interface) and then the application needs to be extended to output syntax appropriate for additional software applications (openMX, MPlus and EQS). Though this project may not begin at “the first stages” of the software lifecycle, this scenario is likely common in the software development market. In addition, the student will be working with a primary “client” who is far less technically advanced, which is also reflective of real-world situations.

Required Background: General EECS 408x prerequisites

Recommended Background: Java software development

Supervisor: Sotirios Liaskos

This project involves enriching and integrating a set of fairly complex scripts, which are components of an Artificial Intelligence (AI) planner, and exporting them to the public in a Software-as-a-Service (SaaS) fashion.

The components are various Unix executables and LISP programs that need to interact in complex ways. The components may be residing in different servers in different universities. Currently integration is performed manually, at the expense of usability. Thus, we aim at constructing a module that: (a) integrates involved components to deliver output in one call, (b) exports a unique web interface (preferably following WSDL/SOAP) to be easily accessed by custom front-end tools by anyone, anywhere, (c ) offers a simple front-end for human users.

Required Background: Good knowledge of Unix tools / Python, Perl or Awk. Comfort with algorithms and programming. Essential: 2031 – Software Tools. Desired: 3402 – Functional & Logic Programming, 3101 – Design and Analysis of Algorithms, 4302 – Compilers and Interpreters.

Supervisor: Burton Ma

Registration is a fundamental step in image-based surgical navigation. Several (seemingly) different approaches for predicting distance errors in registration are known, but for some surgical procedures, the angular error in registration is more important. This project will validate an approach for predicting angular error in registration; the student will use a combination of simulated and actual registration data for testing purposes.

Supervisor: Burton Ma

Description: Tracked pointers are the most common tools used in surgical navigation systems. A typical pointer has a tracked target on one end and a sharp or ball tip on the other end. Finding the location of the tip relative to the target is a calibration problem. One solution to the calibration problem involves pivoting the pointer about the tip while tracking the target; if the tip is kept stationary, then the target moves on the surface of a sphere. Fitting the tracking data to the surface of a sphere yields the location of the tip as the sphere center. Unfortunately, the calibrated tip position obtained using such a spherical calibration has high variance. This project will investigate how much variance there is in the calibrated tip position, and methods for reducing the variance of the calibrated tip position.

Supervisor: Uyen Trang Nguyen

One of the major privacy concerns in Online Social Networks is photo sharing. A user may post his/her friends’ photos without their consent. The friends have no control over the user’s Facebook activities, namely photo sharing. In this project, we design and implement a third-party Facebook application that allows people to protect their identities in photos uploaded by another user without their consent.

Required prerequisite background: Proficiency in programming, especially in Java and Web application programming.

Desired prerequisite: Knowledge of image processing, Facebook API, JavaScript Object Notation (JSON)

Supervisor: Rob Allison

Detection of forest fires is a challenging activity that requires considerable training. The objective of this project is to implement a virtual reality simulation to incorporate key aspects of this task and then to perform an evaluation with a small user study.

Required Background: General EECS408x prerequisites

Recommended Background: EECS3431 or EECS4471 or equivalent

Supervisor: Rob Allison

This is a computer graphics project to present visual motion stimuli to an observer. The software will experimentally control scene content, collect user responses and control the camera trajectory to simulate the desired self-motion profile.

Required Background: General EECS408x prerequisites

Recommended Background: EECS3431 or EECS4471 or equivalent

Supervisor: Rob Allison

Directors of three-dimensional movies sometimes use 'stereo calculators' to compute the simulated depth of objects in the film show to the viewer in order to maximize the stereoscopic effects and maintain comfortable viewing. However current calculators have limited ability to visualize the results of the calculations. This project will combine stereo calculations with visualization software to assist the director in artistic and technical decisions.

Required Background: General EECS408x prerequisites

Recommended Background: EECS3431 or EECS4471 or equivalent

Supervisor: Scott MacKenzie

Required Background: General 4080 prerequisites, EECS3461, and (preferably) EECS4441

Recommended Background: Interest in user interfaces and human-computer interaction (HCI). Understanding of experiment design. Experience in doing user studies.

Supervisor: Scott MacKenzie

Required Background: General 4080 prerequisites, EECS3461, and (preferably) EECS4441

Recommended Background: Interest in user interfaces and human-computer interaction (HCI). Understanding of experiment design. Experience in doing user studies.

Supervisor: Andy Mirzaian

The URL for Algorithmics Animation Workshop (AAW) is http://www.cs.yorku.ca/~aaw. The main purpose of AAW is to be a pedagogical tool by providing animation of important algorithms and data structures in computer science, especially those studied in courses CSE 3101, 4101, 5101, 6114, 6111. This is an open ended project in the sense that more animations can be added to this site over time.

Required background: General prerequisites

Recommended background: EECS 3101

Supervisor: Zbigniew Stachniak

Quantified Propositional Logics (QPL) plays an important role in a number of computer science disciplines from the theoretical computer science to knowledge representation and verification. There are also a number of open problems concerning this logic, and formulated more than 70 years ago, that can be finally solved (or at least approached) using automated reasoning techniques. The first step in such investigations has to be the design and implementation of a theorem prover, or automated reasoning system, for QPL. Such a system should, in principle, be able to determine whether or not a given formula of QPL is a theorem (or a tautology) in this logic.

The theorem prover for QPL is to be designed, implemented, and fully tested.

Background: Various variants of QPL have been formally formulated for the first time in the 1920s by a number of logicians and mathematicians. In modern computer science, QPL plays a significant role in theoretical computer science (proof complexity, satisfiability) as well as in verification and AI.

Required background: General prerequisites

Recommended background: Passion for programming and experimentation; Some knowledge of propositional and predicate logic

Supervisor: Zbigniew Stachniak

Have you ever considered writing your own emulator of an interesting system? There has been a substantial activity in building software emulators of historically significant computers, game consoles, and, recently, smart communication devices. As a result, there is at least one emulator of almost every significant system. This activity contributes, in the first place, to the preservation and dissemination of significant hardware and software technologies. It also allows for cost-effective development of contemporary software and hardware. The project's objective is to design and implement an emulator of the NABU Network – one of the earliest “proto-Internet” networks. The emulator is to be implemented in Java.

Background : The NABU Network was designed and implemented by a Canadian company NABU Manufacturing between 1981 and 1983. The underlying idea behind the network was to link home personal computers to cable television networks which would supply a continuous, high speed stream of computer programs and information (at the rate of 6.5 Mbits per second) to almost an unlimited number of users. Cable television was a uniquely ideal technology for NABU to deliver software and data to home computers because of its high bandwidth and networking capabilities. After the official launch on Ottawa Cablevision in October of 1983, the NABU Network was introduced by Ottawa's Skyline Cablevision in 1984 and a year later in Sowa, Japan, via a collaboration between NABU and ASCII Corp. NABU Network subscribers could rent or buy a NABU PC and dedicated network adaptor, and use an ordinary television set as a display monitor. Once connected to the network, a user could choose from various application programs and services in categories including entertainment, information and guides, education, and professional programs. Dedicated NABU magazines, newsletters, programming guides, and user groups provided subscribers with supplementary information and support. To learn more, visit here.

Required background: General prerequisites

Recommended background: Java (including 2D graphics); Some knowledge of PC hardware architecture; Some knowledge of (any) assembler language is an asset.