Daniel Smullen

IoT Resource Registry

Summer 2017

The IoT Resource Registry helps IoT service providers to connect with their users, offering a unified way for information and choice on IoT services and resources. This project is a part of the larger Personalized Privacy Assistant project.

Supervisor: Dr. Norman Sadeh, Carnegie Mellon University

• External Link

Eddy: A Privacy Requirements Specification Language

Summer 2016

Eddy is a privacy requirements specification language that privacy analysts can use to express requirements over acts to collect, use, transfer and retain personal and technical information. The language uses a simple SQL-like syntax to express whether an action is permitted or prohibited, and to restrict those statements to particular data subjects and purposes. The Eddy specifications are compiled into Description Logic to automatically detect conflicting requirements and to trace data flows within and across specifications. Each specification can describe an organization's data practices, or the data practices of specific components in a software architecure.

Supervisor: Dr. Travis Breaux, Carnegie Mellon University

• Demonstration
• View on GitHub

Non-Local Interferometric SAR Parameter Estimator

Summer 2015

Synthetic aperture radar (SAR) or interferometric SAR (InSAR) images suffer from granular speckle noise, which must be removed a posteriori to make images suitable for analysis. We implemented several enhancements to Deledalle’s InSAR denoising filter (NL-InSAR) to gain leverage over the algorithm's inherent speed tradeoffs. Our results show quantitative and qualitative advances over the canon, as well as promising new research directions for further improvements. Our workstation- and supercluster-portable implementation allows high quality speckle noise reduction over full-sized UAVSAR images in a matter of minutes, versus weeks using the naïve algorithm.

Supervisor: Dr. Razi Ahmed, Jet Propulsion Laboratory

NL-InSAR with Gaussian-Laplacian Pyramids

Summer 2015

Non-local filters are particularly well-suited for reducing noise in interferometric Synthetic Aperture Radar (InSAR) images due to their ability to preserve fine structures in the images without compromising resolution. Great strides have been made in improving non-local filtering techniques for InSAR images, but many of these techniques introduce an artifact known as the canvas effect. In this work, we implemented a novel method for eliminating the canvas effect that is based on Gaussian-Laplacian image pyramids. In particular, we modify the NL-InSAR algorithm to include an image pyramiding step in order to improve the estimation of reflectivity, interferometric phase, and coherence.

Supervisor: Dr. Razi Ahmed, Jet Propulsion Laboratory

Incident Recognition and Intelligence System (IRIS)

Winter 2014

IRIS is a fully integrated intelligence management system with a frontend that displays road conditions and captured incident videos, combined with a computer vision backend that performs autonomous, scalable highway surveillance and statistical aggregation. IRIS won first place in the UOIT Capstone ECSE Engineering Design Challenge 2014.

Supervisor: Dr. Shahryar Rahnamayan, Associate Professor, UOIT

Special thanks to Dr. Baher Abdulhai and Asmus Georgi at University of Toronto, and Steve Spadafora at MTO for their funding and collaboration.

• Poster
• Presentation

Automated Marking System (AMS)

Winter 2014

AMS was built using Rails for UOIT as a means to quickly create, disseminate, and automatically mark introductory programming courses, providing automatic cheating detection and code quality metrics to students. The software automatically compiles, executes, and evaluates students' submissions in a protected environment. AMS provides instant feedback to students and administrators on the quality of submissions after undergoing dynamic and static analysis, and is integrated with an automatic testing framework for both evaluation and validation.

Supervisor: Dr. Kamran Sartipi, Associate Professor, UOIT

• Presentation

Policy IDE, TOSServ, Finger2IPv6

Summer 2013

These three projects were the culmination of work completed funded by an NSERC Undergraduate Research Award. All three are related to implementing and facilitating policy programming in wireless sensor networks based on TinyOS. They were published and presented at EUSPN-2013, as well as posted on the Stanford TinyOS community Wiki. These projects are also available in branches on GitHub.

Supervisor: Dr. Ramiro Liscano, Associate Dean, UOIT

• TinyOS Wiki
• View on GitHub

Military Logistics Management System (MLMS)

Spring 2013

Military logistics management and large-scale visualization system for UOIT ENGR3700 (Data Management Systems) course. Delivers supply and personnel information via an agile web interface using ASP.NET. Provides secure access to global logistics data at a glance through a Logistics Management View (LMV). Provides real-time battle space updates using Order of Battle (ORBAT) Imagery System.

Supervisor: Dr. Eyhab Al-Masri, Senior Lecturer, UOIT

• Presentation
• Report

sneakyFS File System Design and Implementation

Winter 2012

sneakyFS is a UNIX file system which operates on a simulated hard disk. It uses a hybrid indexed and linked allocation method to efficiently use disk space, support large disks, lengthy directory trees, and large file sizes. It incorporates transparent encryption, journalling, and universal unique identifiers. It incorporates techniques which extend the functionality of the C language beyond its original scope of usage, including object oriented design principles by re-purposing C data structures and pointers. The project won distinction as "Best Project" in the UOIT ENGR 3950 (Operating Systems) course.

Supervisor: Dr. Kamran Sartipi, Associate Professor, UOIT

• External Link
• Presentation
• Design Brief

Datacenter Utilization Research Study

Summer 2012

Mission-critical datacenter utilization, availability, and performance assessment for SNC-Lavalin GIT risk management and infrastructure remediation. This study sought to determine the amount of work performed in dollars per hour on each critical server asset in the datacenter located at the West Mall campus, and specify a plan for infrastructure improvements based on the findings.

Supervisor: M. Ross, Senior Vice-President, SNC-Lavalin Global Information Technologies

Laboratory Information Management System (LIMS)

Spring 2009

Collaborative development on an ISO 9000 certified laboratory sample management software. Manages sample logging, categorization, and process queuing. Used in active laboratory production.

Supervisor: Dr. John Emery, P.Eng., President, JEGEL

2009 Trans-Canada Highway Rehabilitation Geoinformatics

Summer 2009

In order to facilitate a large scale asphalt rehabilitation on the Trans-Canada Highway, spanning the section surrounding Banff for over 300km, large scale geoinformatics were required. These drawings detailed probe-hole locations, highway layout, and pavement remediation plans.

Supervisor: Alain Duclos, P.Eng., Senior Engineer, JEGEL