Stephen Dodd Email & Phone Number
@ibm.com
1 phone found area 713
LinkedIn matched
Who is Stephen Dodd? Overview
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Stephen Dodd is listed as Algorithm Engineer at ResMed Ireland, a with 17 employees, based in Greater Dublin, Ireland. AeroLeads shows a work email signal at ibm.com, phone signal with area code 713, and a matched LinkedIn profile for Stephen Dodd.
Stephen Dodd previously worked as Algorithm Validation & Verification Engineer at Resmed Ireland and Software Engineer - Domino Level 2 Support - Web, Security and Application Development at Ibm. Stephen Dodd holds Master'S Degree, Computer And Electronic Engineering from Trinity College, Dublin.
Email format at ResMed Ireland
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AeroLeads found 3 current-domain work email signals for Stephen Dodd. Compare company email patterns before reaching out.
About Stephen Dodd
I am currently looking for new opportunities in the field of Machine Learning or Artificial Intelligence. I am specifically looking for opportunities in algorithm development for Neural Networks as applied to Speech Processing or Computer Vision problems.Electronic and Software Engineer based in Dublin. Formerly worked for IBM as a Support Engineer for Security and Application development on the IBM Domino platform. Graduated from Trinity College Dublin with a masters in Computer and Electronic EngineeringI am always looking for new and exciting opportunities in the fields of Speech Processing, Computer Vision, Machine Learning, Hardware Design and Computer Security.
Listed skills include Computer Vision, Machine Learning, Matlab, C++, and 46 others.
Stephen Dodd's current company
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Stephen Dodd work experience
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Algorithm Engineer
Algorithm Engineer
The primary objective of the role of Algorithm Engineering is to Design, develop and evaluate complex algorithms for use in systems and subsystems for research/development and/or clinical applications.My Primary area of focus is in diagnostic and screening technologies for sleep apnoeaMedical algorithm development- Designing and implementing digital signal processing and machine learning algorithms for sleep and apnoea diagnostic technologies.- Designing medical algorithms to follow ISO 13485.- Work within XFTs to build medical devices, including QA/RA, Hardware, Product Management and Medical Affairs. - Support release and integration of technology for new customers.- Support for QMS and regulatory application for medical devices to FDA, ANVISA, TGA.- Refactoring and Reengineering of existing medical algorithms to meet new business needs. Technology Research:- Conducting proof of concept work for developing new sensing technologies. - Working on publications of new technologies and devices.- Designed and support for home and clinical data studies.Technology discovery- Matching medical and consumer data requirements to product specifications. - Contributing to the expansion of the IP portfolio.- Reviewing state-of-the-art technologies in the sleep space.- Monitoring emerging clinical and consumer trends in sleep apnoea treatment and wider sleep heath trends.
Algorithm Validation & Verification Engineer
The role of Algorithm V&V Engineer is to provide a combination of data analysis, algorithm testing and Dev support. The primary responsibilities of the role are around:Data Analysis - Maintenance of development data sets - Support for use of data sets - Data annotation - Provide feedback of gaps in data set edge cases covered by current data setsCoordinating data studies - Design of studies - Collection of the data - Overseeing of data studies - Vetting/Review of incoming data - Handover of data for development or verification useAlgorithm Testing - Provide independent testing of algorithm modules - Maintain and oversee test bench code - Prepare reports for release of algorithm versions - Feed back issues and bugs to algorithm DevelopmentAlgorithm Support - Liaise with other teams on a project on the use of the algorithm model. - Support system testing teams in the use of the Algorithm model and test bench. - Support analysis of system testing results and benchmarks. - Providing additional Dev support.
Software Engineer - Domino Level 2 Support - Web, Security And Application Development
IBM Domino support engineer specialised in Application Development, Web Server, Web Security, Account Security, Administration and Networking. Working in the IBM EMEA Lotus collaborative solutions support centre. My main objectives as a IBM software support engineer are:• Providing product area, expert level support for IBM Domino, for the full life-cycle of a customer’s environment; from server installation to deployment to maintenance to upgrading.• Understating and listening customer problems, queries, concerns and requests relating to IBM Domino, and working with customer to resolve these issues as quickly as possible.I achieve these objectives by working with customers in the following aspects of Domino. Application Development• Domino APIs, Lotus script, JAVA and C++• Database design, including view indexing and database agents • JAVA application integration, including remote JAVA applications using WSDL files or DIIOP Web Server• Domino Internet Site configuration, including Domino web server rules and Xpage integration• JAVA web service integration• Domino web API, Domino REST APIWeb security• SSL for Internet protocols including SMTP, HTTP and LDAP• Certificate chains and cross certificates• Domino JVM integration security• Cryptographic Login methods including, Domino SPENGO Domino SAML Administration• ID recovery using the Domino ID Vault• Notes certificates and recertification, including Domino ID Rollover• Domino administration process. Networking• Domino networking integration• Domino network performance• Domino SNMP integration• Cluster fail-overAs a result of my success in achieving these objectives, I have been listed in the top 5 in IBM collaborative solutions EMEA support centre in customer satisfaction, as of 3Q 2015. I received the Manager’s Choice Award for commitment to customer service and satisfaction.
Research Assistant
I was tasked with completing a project, investigating the application of motion detection in visual speech recognition.The hypothesis of the project was to investigate the possible value of motion vectors between video frames as a feature set for visual speech recognition. To accomplish this objective, I created a number of test feature sets built from feature vectors that utilised various motion detection methods and computer vision methods for detecting information in an image. These feature sets were created using various combinations of the motion vectors and frame information detection algorithms, that were varied over frame resolution and frame rate. Using an available database of marked speech videos. I tested machine learning algorithms to train against the database, using various combinations of the feature sets I made. The feature sets where then compared recursively over the database using different sub sections for the database to train and test the value of the feature sets to the machine learning program..The results of using this kind of test architecture allowed me to compare results based on different combinations of feature vector across the defined visual elements of speech. To see not only if the motion vectors could not only improve the overall accuracy and effectiveness of the speech recognition, but to also see in what particular elements of speech the motion vectors can improve performance the most.
Colleagues at ResMed Ireland
Other employees you can reach at resmed.com. View company contacts for 17 employees →
Albert Woffenden
Colleague at Resmed IrelandGreater Sydney Area, Australia
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Farah Diba
Colleague at Resmed IrelandSydney, New South Wales, Australia
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Sacoya Highsmith
Colleague at Resmed IrelandGreenville, North Carolina, United States
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Frank Bauer
Colleague at Resmed IrelandAdelsdorf, Bavaria, Germany
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Nadi Sadr
Colleague at Resmed IrelandAustralia
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Shannon Prior
Colleague at Resmed IrelandWinston Hills, New South Wales, Australia
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Kashmir Apple
Colleague at Resmed IrelandParramatta, New South Wales, Australia
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Dori Sanchis
Colleague at Resmed IrelandSan Diego, California, United States
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Sdfsdf Sdfsdf
Colleague at Resmed IrelandGreater Sydney Area, Australia
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Michel Egenschwiller
Colleague at Resmed IrelandBasel, Switzerland
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Stephen Dodd education
Master'S Degree, Computer And Electronic Engineering
Bachelor'S Degree, Electronic And Computer Engineering, 2.1
High School
Frequently asked questions about Stephen Dodd
Quick answers generated from the profile data available on this page.
What company does Stephen Dodd work for?
Stephen Dodd works for ResMed Ireland.
What is Stephen Dodd's role at ResMed Ireland?
Stephen Dodd is listed as Algorithm Engineer at ResMed Ireland.
What is Stephen Dodd's email address?
AeroLeads has found 3 work email signals at @ibm.com for Stephen Dodd at ResMed Ireland.
What is Stephen Dodd's phone number?
AeroLeads has found 1 phone signal(s) with area code 713 for Stephen Dodd at ResMed Ireland.
Where is Stephen Dodd based?
Stephen Dodd is based in Greater Dublin, Ireland while working with ResMed Ireland.
What companies has Stephen Dodd worked for?
Stephen Dodd has worked for Resmed Ireland, Ibm, and Sigmedia.
Who are Stephen Dodd's colleagues at ResMed Ireland?
Stephen Dodd's colleagues at ResMed Ireland include Albert Woffenden, Farah Diba, Sacoya Highsmith, Frank Bauer, and Nadi Sadr.
How can I contact Stephen Dodd?
You can use AeroLeads to view verified contact signals for Stephen Dodd at ResMed Ireland, including work email, phone, and LinkedIn data when available.
What schools did Stephen Dodd attend?
Stephen Dodd holds Master'S Degree, Computer And Electronic Engineering from Trinity College, Dublin.
What skills is Stephen Dodd known for?
Stephen Dodd is listed with skills including Computer Vision, Machine Learning, Matlab, C++, Programming, Speech Processing, Image Processing, and Video Processing.
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