Welcome

I am a PhD student at the School of Information Sciences at the University of Pittsburgh and I am being advised by Prof. Vladimir Zadorozhny.

I am currently working as Graduate Research Assistant on NSF funded project on [historical] data integration and analysis (see Col*Fusion project page). Before that I was TA and TF for "Database Management Systems" course, and TA for "Introduction to Information Technology" and "Introduction To Information, Systems and Society" courses.

I like to do both research and software development, but even more I like to combine them together by working on innovative projects which require cutting edge technologies and result in products that go beyond academic environment.

This is my personal web site (which is constantly in development), feel free to explore it.

Thank you for visiting and .

Best Regards,
Evgeny

Contacts

Email epk8(at)pitt(dot)edu
Office Address
2B10, 135 N Bellifield Ave.
School of Information Sciences
University of Pittsburgh
Pittsburgh, PA, 15213, USA
Web Presence My linkedin account My twitter account My facebook account Google+ My github account

Interests See All

I am interested in how databases work in general. Very often I can find myself reading about different databases or data store systems.

I was TA and instructor for Database Management Systems class at Pitt.

I also have practical experience with MySQL, Microsoft SQL Server, PostgreSQL, Oracle, Neo4J, MongoDB, and Riak in several projects and/or classes.

Also Databases will be one of my topics for the Comprehensive examination (see section 6 on the page) which I plan to do in February, 2014.

I am currently working on NSF supported project - Col*Fusion which aims at global-scale data integration. We are building the system which stands on more than 30 years of research and combines together ideas of Automatic and Crowd-based Schema Mapping and Record Linkage, Keyword search over databases, Schema Graph, Data Repositories, Peer-To-Peer data integration and sharing, Pay-As-You-Go data integration, Data Uncertainty and Provenance.

This project also utilizes and/or advances Databases, Crowdsourcing systems, Recommender systems, Machine learning and Data Mining.

See project (coming soon) page for more details.

I am interested in how techniques of crowdsourcing can be utilized for data and information management. Both my current projects (project pages are coming soon) are based on the idea of crowd of users performing small actions in the system (environment) whilst the system itself evolve and converges to the state which was not programmed in advance by the system developers.

While many machine learning and data mining algorithms were developed and are successfully used in real life, they are still not perfect and some tasks human can do much better. In addition, not all users of the system have to perform additional actions and might not even know that they contribute to the system evolution.

Also Crowdsourcing Systems will be one of my topics for the Comprehensive examination (see section 6 on the page) which I plan to do in February, 2014.

I am interested in applying techniques of Recommender systems for online education. For more informations SALT project page.

Also I am following development of Apache Mahout Machine Learning and Data Mining library and I used it for my experiments with the data collected in SALT system.

I was always fascinated by the ideas of artificial intelligence and intelligent machines. However I don't have much training in that area. I am eager to learn more, but so far I have only taken online courses Machine Learning by Andrew Ng and Learning From Data by Yaser S. Abu-Mostafa

Currently I am looking at the Graph-based Machine Learning algorithms to apply in Col*Fusion project.

Also I am following development of Apache Mahout Machine Learning and Data Mining library and I used it for my experiments with the data collected in SALT system.

Also Data Mining will be one of my topics for the Comprehensive examination (see section 6 on the page) which I plan to do in February, 2014.

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