Ameen Kazerouni - Orangetheory Fitness | LinkedIn (original) (raw)

About

Ameen is currently the Chief Technology Officer at Orangetheory Fitness. Over the course…

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Experience & Education

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Volunteer Experience

Guest Lecturer

Emory University

Apr 2019 - Apr 2020 1 year 1 month
Education
Reccuring guest lectures on big data and cloud computing at the Biomedical Informatics Department

Guest Lecturer

UT Southwestern Medical Center

Feb 2021 - Feb 2021 1 month
Education
Reccuring guest lecturer on AI in Neoplasia at the School of Medicine, Internal Medicine department

Publications

Pathology Informatics Summit May 14, 2014

Content:
Large collections of multidimensional data, accumulated from multiple sources, are integral components of integrative studies. Here we report on a system that provides interactive, visualization of multidimensional data that facilitates data exploration and cohort discovery within the datasets.
Design:
Multidimensional biomedical datasets include clinical data, genomic data, imaging data etc. Interactive visualization of such collections can provide the information needed…
Content:
Large collections of multidimensional data, accumulated from multiple sources, are integral components of integrative studies. Here we report on a system that provides interactive, visualization of multidimensional data that facilitates data exploration and cohort discovery within the datasets.
Design:
Multidimensional biomedical datasets include clinical data, genomic data, imaging data etc. Interactive visualization of such collections can provide the information needed to formulate hypothesis, create cohorts for validation, and help make data driven decisions. The Data Explorer,
exposes The Cancer Genome Atlas BRCA clinical dataset and images. A pivot collection requires two primary components, 1) Data for querying and filtering; 2) Images to visualize the data.
Results:
The Data Explorer is used to filter the collection on one or more clinical attributes. It allows users to explore the dataset as an interactive whole rather than just one patient at a time. As exploration progresses, a query is formulated and maintained. Cohorts of interests can be pivoted on an additional attribute and the distribution of the cohort across that attribute can be visualized as histograms. As seen in Figure 1, histogram bins can be clicked on to create additional data subsets. Individual tiles can be single clicked on to view all associated metadata. Fields within the metadata can be used to further expand the query. Double clicking on an individual tile will launch the digitized pathology image in our image viewer, caMicroscope, for further analysis.
Conclusion:
The Data Explorer allows you to visualize large multidimensional datasets and allows efficient exploration and cohort discovery within multidimensional datasets. Future work on this system will include the integration of the Data Explorer into a data analysis workflow. The workflow would allow for the extraction of formulated queries and redirection of discovered cohorts to analysis engines.
Other authors

Pathology Informatics Summit May 14, 2014

Content:
This abstract reports on the use of caMicroscope to provide web-based access to digitized pathology images from the National Lung Screening Trial. caMicroscope is a web based data management and visualization system for digitized whole slide images.
Technology:
caMicroscope follows the Software as a Service delivery model. It consists of four primary modules.
● Data Loader: Utilizes the OpenSlide and VIPS open source libraries to perform data preparation. This includes,…
Content:
This abstract reports on the use of caMicroscope to provide web-based access to digitized pathology images from the National Lung Screening Trial. caMicroscope is a web based data management and visualization system for digitized whole slide images.
Technology:
caMicroscope follows the Software as a Service delivery model. It consists of four primary modules.
● Data Loader: Utilizes the OpenSlide and VIPS open source libraries to perform data preparation. This includes, 1) Identification of images to process; 2) Conversion of the images from its vendor specific format to the open standard BigTIFF; 3) The extraction of image meta-data that is necessary for visualization of images and markups.
● Image Viewer: A HTML5 based viewer that leverages OpenSeadragon and IIPServer for the visualization of the pathology images.
● Markup Tools: Provide the user the ability to draw, store and retrieve annotations and markups.
● Data Services: A collection of web data services that provide access to databases that manage images, metadata and markup data via secure REST API's.
Design:
caMicroscope deployed for the National Lung Screening Trial, required a semi-automated data preparation process, that included the retrieval of anonymized identifiers from the image labels, and reconciliation of these labels with global identifiers. The Cancer Imaging Archive’s Query Tool, allows investigators to access and query repositories of Clinical, Pathology and Radiology metadata. It is then used to launch the caMicroscope image viewer to visualize selected subjects. User generated markups are stored along with image identifiers, and can be restored on launch. The deployment facilitates, 1) Visualization of images; 2) Efficient sharing of images; 3) Rendering and sharing of Annotations and Markups.

Proceedings of the 49th Annual Southeast Regional Conference March 24, 2011

Introducing real-world representations of fundamental concepts in computer science can drastically increase interest levels of students over standard lecture-based teaching. Therefore, the primary focus of the project was to develop an interactive educational platform centered on physical depictions of abstract concepts. A custom application was built to control Lego Mindstorms NXT robots or drones. The application sends instructions to the drones and watches them complete the tasks in real…
Introducing real-world representations of fundamental concepts in computer science can drastically increase interest levels of students over standard lecture-based teaching. Therefore, the primary focus of the project was to develop an interactive educational platform centered on physical depictions of abstract concepts. A custom application was built to control Lego Mindstorms NXT robots or drones. The application sends instructions to the drones and watches them complete the tasks in real time using RoboRealm. In addition to developing the project as an educational tool, scalability and modularity were maintained at all times. This allows for such a project to be adapted and used in a multitude of fields. The concept of an autonomous mapping system that uses unmanned robots and implements machine learning can be put to use in fields such as geological surveying, search and rescue, and military applications.
Other authors

International Conference on Artificial Intelligence 2011

Procedural Paradigms limit the capabilities of an
independent system from tackling novel situations. A rule
based expert system allows for dynamic expansion of a
knowledge base that can be used by an inference engine to
challenge a wide variety of situations. The Dynamic
Anthropomorphic Robot with Intelligence (DARwIn) proved to
be a practical platform for exploring the possibilities of using
an expert system to control an independent agent in an
uncontrolled…
Procedural Paradigms limit the capabilities of an
independent system from tackling novel situations. A rule
based expert system allows for dynamic expansion of a
knowledge base that can be used by an inference engine to
challenge a wide variety of situations. The Dynamic
Anthropomorphic Robot with Intelligence (DARwIn) proved to
be a practical platform for exploring the possibilities of using
an expert system to control an independent agent in an
uncontrolled environment. Our research revolves around the
development of a framework that allows the seamless
integration of the C language integrated production system
(CLIPS) with the DARwIn framework. This type of control,
that approaches a cognitive model rather than a procedural
one, allows researchers to focus on expanding the knowledge
base of the system and improving functionality and decision
making skills on a more abstract level.
Other authors

National Social Science Journal Volume 36 2010

The Border and The Grillage are two Mexican restaurants on Maple St. in Carrollton, GA. These
two businesses exist within a block of each other; yet, they manage to be successful catering to
the same population of University of West Georgia students. This dynamic is unusual for the
market in the city, as other Mexican restaurants have entered the market, but failed to remain.
The owners of these Mexican restaurants wish to determine if their clientele is affected by…
The Border and The Grillage are two Mexican restaurants on Maple St. in Carrollton, GA. These
two businesses exist within a block of each other; yet, they manage to be successful catering to
the same population of University of West Georgia students. This dynamic is unusual for the
market in the city, as other Mexican restaurants have entered the market, but failed to remain.
The owners of these Mexican restaurants wish to determine if their clientele is affected by
availability of alcohol, ambience, price and/or quality. Methods of data collection included an
extensive survey and an innovative method called the marketing carnival, which uses games to
answer three of the questions on the survey. The goal of the marketing carnival was to create an
environment with the aforementioned games, along with music, free food, and prizes which gave
people an incentive to participate in the study. We obtained a sample size of 403 respondents in
less than one day using this method. We then analyzed the data using advanced methods of
statistical analysis such as correlation and regression analysis to determine relationships between
the respondents’ preferences regarding The Border and The Grillage and various independent
variables of interest to the client. Other tests included hypothesis tests and chi square tests to
determine whether segments existed and how the client could appeal to their target markets.
Conclusions and recommendations for specific changes were presented to the clients. For
example, the Regression Analysis (with an excellent R2 ~ 0.6) revealed that the Overall Rating
of The Border was determined by the Variety of the Menu, the Pleasant Dining Experience, and
the ability to get a Quick Meal. Thus, these results formed the basis of the recommendation to
The Border. Similarly with the Grillage we determined 66% of the variance in Overall Rating.
Other authors
See publication

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Projects

Aug 2014

The Data Cafè is a data integration system that allows users to generate single longitudinal cohorts from a host of different data stores. It provides for cohort discovery within massive collections of data that are stored in different databases and in different formats. Additionally it allows for fast exploration of the generated cohorts using state of the art big data querying technologies. This project aims to provide efficient cohort discovery and exploration to facilitation scientific data…
The Data Cafè is a data integration system that allows users to generate single longitudinal cohorts from a host of different data stores. It provides for cohort discovery within massive collections of data that are stored in different databases and in different formats. Additionally it allows for fast exploration of the generated cohorts using state of the art big data querying technologies. This project aims to provide efficient cohort discovery and exploration to facilitation scientific data mashups.

Aug 2013 - Present

Uses Microsofts Pivot viewer technology to provide an interactive exploration and cohort discovery tool. Currently exposes clinical data for the TCGA-BRCA collection and directly links to the camicroscope pathology image viewer.
Other creators

Jan 2013 - Present

caMicroscope is a management platform for digitized pathology images that tackles some of the key problems posed by whole slide images. It is a thin client with powerful server side computation that provides functionality for the visualization and markup of WSI.
See project

Aug 2011

Created a Clips - Expert System plug-in for the DARwIn-OP framework
Robots, Expert Systems, C++
Other creators

Feb 2012 - Apr 2012

Senior Capstone Project: Bus Tracking GWT application deployed on Google App Engine. Created GPS logging hardware, JS objects, geo-tagging, Real time ETA, routes, and GWT/GAE datastore db architecture
Java,GWT,GAE,Waspmotes,GPS,XBees
Other creators

Honors & Awards

University of West Georgia

Aug 2016
30 Under 30 is an annual recognition program sponsored by the UWG Alumni Association.
The program recognizes 30 alumni that are under the age of 30 that have made a significant impact in their career industry while exhibiting dedication to UWG and representing the university well.
https://www.uwgperspective.com/alumni/stories/thirty15.html

Association for Pathology Informatics

May 2014
Data Explorer: A Tool for Data Exploration and Cohort Discovery in Massive
Multidimensional Datasets

Dean of the College of Science and Mathematics

Apr 2012
Final semester on the Dean's List.
Was honored to be on the Dean's list for the preceding 7 semesters spent at the University of West Georgia as well.

Honors College

Mar 2012
"Awarded to an outstanding Honors Senior."

Honors College

Mar 2011
"Awarded to an outstanding honors junior."

Dean of the College of Math and Sciences

May 2010
"Awarded to one outstanding student majoring in science or mathematics"

Department of Computer Science

Apr 2010
Scholarship that is awarded to a Junior or Senior majoring in Computer Science at the University of West Georgia.

Languages

Native or bilingual proficiency

Native or bilingual proficiency

Organizations

President

Aug 2011 - Present

Executive Producer

Jan 2008 - Jan 2010

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