Ahmet Arif AYDIN,




Degree Department University Location Advisor Year
Ph.D Computer Science University of Colorado at Boulder CO, USA Kenneth M. Anderson 2012-2016
M.S. Computer Science and Engineering University of Colorado at Denver CO, USA Gita Alaghband 2010-2012
B.S. Electronic and Computer Education Computer Teaching Firat University Elazig, TURKEY İbrahim Turkoglu 2001-2005

Teaching Experience

Job Institution Location Year
Computer Teacher Haci Huseyin Koluk Vocational Technical High School Malatya, TURKEY 2007 - Feb 2008
Computer Teacher Hekimhan Vocational Technical High School Malatya, TURKEY 2005- Sep 2007

Professional Experience

Job For Institutition Location Year
Teaching Assistant Human-Centered Computing Professional Development Coordinator: Clayton Lewis University of Colorado Boulder Boulder, CO, USA 2013
Teaching Assistant Computer Science as a Field of Work and Study Coordinator: Clayton Lewis University of Colorado Boulder Boulder, CO, USA 2013
Coordinator Directorate of National Education Directorate of National Education Malatya, TURKEY 2007
Project Staff MEGEP Expo Directorate of National Education Malatya, TURKEY 2007
Coordinator Teacher Hekimhan Vocational High School Directorate of National Education Malatya, TURKEY 2006

Professional Service

Service For Institutition Location Year
Volunteer Staff First Lego League Robotic Competition Colorado School of Mines Golden, CO, USA 2010
Volunteer Staff UCD Information Systems Association Student Panel University of Colorado Denver Denver, CO, USA 2010
MC (emcee) CESL Closing Ceremony University of Arizona Tucson, AZ, USA 2009

Funding & Awards

Description Provider Year
Ph.D Scholarship Republic of Turkey Ministry of National Education 2012-Present
Master’s Degree Scholarship Republic of Turkey Ministry of National Education 2010-2012

Research Interests

Software Engineering, Software Architecture, Crisis Informatics, Big Data, Real-Time Data Collection and Analytics, Data Modeling, Algorithms Design for Data Analytics

Research Systems

Name Description Developer(s) Year
IDCAP: Incremental Data Collection & Analytics Platform Twitter Data Collection and Real-Time Analytics Platform 1.0
The IDCAP provides incremental data collection and indexing in real-time of Twitter (social media) data, support real-time analytics at interactive speeds and provides highly concurrent batch data processing supported by a novel data model.
Ahmet Arif Aydin (Principal Designer), Ken Anderson (Advisor) 2015-Present
EPIC Analyze Twitter Data Analytics Environment version 1.0
This analysis environment is actively used by Project EPIC analysts to browse, search, filter, sort and annotate large Twitter data sets.
Mario Barrenechea, Ahmet Arif Aydin, Adam Cardenas, Mazin Hakeem, Sahar Jambi,
Ken Anderson


Publications can be downloaded by my ResearchGate or Google Scholar pages.

Refereed Conference Publications
C.4 Mario Barrenechea, Kenneth M Anderson, Ahmet Arif Aydin, Mazin Hakeem, Sahar Jambi, “Getting the Query Right: User Interface Design of Analysis Platforms for Crisis Research,” in 15th International Conference on Web Engineering (ICWE 2015), pp. 547-564, June 23-26, 2015.
C.3 Ahmet Arif Aydin and Kenneth M. Anderson,“Incremental Sorting for Large Dynamic Data Sets,” in First IEEE International Conference on Big Data Computing Service and Applications, pp. 170-175, March 31-April 2, 2015.
C.2 Kenneth M. Anderson, Ahmet Arif Aydin, Mario Barrenechea, Adam Cardenas, Mazin Hakeem, and Sahar Jambi, “Design Challenges/Solutions for Environments Supporting the Analysis of Social Media Data in Crisis Informatics Research,” in 48th Hawaii International Conference on System Sciences, pp. 163–172, January 2015.
C.1 Ahmet Arif Aydin and Gita Alaghband, “Sequential & Parallel Hybrid Approach for Non-Recursive Most Significant Digit Radix Sort,” in 10th Int. Conf. on Applied Computing, pp. 51–58, October 2013.
Posters & Demos
P.1 Ahmet Arif Aydin and Gita Alaghband, “Performance Benchmarking Of Sequential, Parallel And Hybrid Radix Sort Algorithms and Analyzing Impact Of Sub Vectors, Created On Each Level, On Hybrid Msd Radix Sort’s Runtime” in 15th Annual Research and Creative Activities Symposium, pp. 40, April 2012.

Ph.D. Dissertation

Abstract Everyday, enormous amounts of data are generated by a wide variety of computational systems. This data needs to be collected, stored, and analyzed to generate insights and information useful to the organizations performing this work. Typical workflows include consumer behavior interpretation, product recommendations, predicting future trends, and even support for emergency management before, during, and after mass emergency events. In the emergency management space, a new area of study—crisis informatics—examines how members of the public make use of social media during times of disaster. Crisis informatics software aims to collect and analyze the large amount of information generated on social media during times of mass emergency. In general, current crisis informatics software is focused on the batch processing of crisis data after an event has transitioned out of the immediate response and recovery phases. Now, there is a need to collect and analyze crisis data in real-time as it is streaming in during the crisis event itself. This thesis offers an examination of the software architectures, techniques, frameworks, and middleware that are needed to augment crisis informatics software that make use of batch processing techniques to perform data analysis with those that incrementally process, store, and analyze data as it arrives. This thesis work responds to the desires of analysts who need access to real-time data analytics and efficient batch data processing techniques to comprehensively analyze a mass emergency event. The techniques developed to achieve these goals have been implemented in a system called the Incremental Data Collection and Analytics Platform (IDCAP). This platform enables a comprehensive evaluation of the utility of these techniques. The system provides the following features: incremental data collection and indexing in real-time of social media data; support for real-time analytics at interactive speeds; highly concurrent batch data processing supported by a novel data model; and a front-end web client, known as the IDCA App, that allows an analyst to manage IDCAP resources, to monitor incoming data in real- time, and to provide an interface that allows incremental queries to be performed on top of large datasets.
Committee Members Kenneth M. Anderson (Chair), Judith Stafford, Richard Han, Qin Lv, and Gita Alaghband.