Zaigham Faraz Siddiqui

Dr.-Ing. Zaigham Faraz Siddiqui

Institut für Technische und Betriebliche Informationssysteme (ITI)

Dr.-Ing. Zaigham Faraz Siddiqui

Institut für Technische und Betriebliche Informationssysteme (ITI)


Vita
2011/06 - Present Research Assistant
@ Knowledge Managment and Data Mining Group
Otto-von-Guericke-Universität, Magdeburg
2008/09 - 2013/05 Doctorate (Dr. Ing.)
Dissertation: "Mining Perennial Objects"
Otto-von-Guericke-Universität, Magdeburg
2005/10 - 2008/06 Masters in Data and Knowledge Engineering (MSc. DKE)
Thesis: "Multi-relational Mining on Streams"
Otto-von-Guericke-Universität, Magdeburg
2006/09 - 2008/02 Student HIWI
@ Faculty of Informatics and Faculty of Mathematics
Otto-von-Guericke-Universität, Magdeburg
2005/05 - 2005/10 Junior Developer 
@ East Tech International
Linux System Programming: Fast storage solution using RAM Drives
2005/01 - 2005/06 Software Developer
@ NanoSoft Technologies
.net programming for small database applications.
2001/01 - 2005/01 Bachelors in Computer Science (B.S. CS)
Area of Concentration: "Data Mining, Databases, Algorithms and Databases"
University of Karachi
Research

Research Interests

  • Medical data mining, data stream mining
  • Mining over relational databases and data streams
  • Algorithms for big data management
  • Evolutionary modelling over dynamic objects
  • Recommendations over multi-relational streams
Projects

 Projects

2013/01 - 2018/01 Medical Mining

2011/06 - 2014/12 IMPRINT: Incremental Mining for Perennial Objects
German Research Council
2008/07 - 2013/03
[completed]
Incremental Multi-Relational Learning
University budget
2011/01 - 2012/12
[completed]
Recommendation Engines for the Web 2.0
German Academic Exchange Service
Teaching

Courses

  • DMCE: Data Mining for Changing Environments
    • Summer Semester 2014 (Lecture & Exercise)
    • Summer Semester 2013 (Lecture & Exercise)
    • Summer Semester 2012 (Lecture & Exercise)
    • Summer Semester 2011 (Exercise)
    • Summer Semester 2010 (Exercise)
  • AdvKMD: Advance Topics in Knowledge Management and Discovery
    • Summer Semester 2014 (Seminar)
    • Winter Semester 2013/14 (Seminar)
    • Summer Semester 2013 (Seminar)
    • Winter Semester 2012/13 (Seminar)
  • WTM: Web and Text Mining
    • Winter Semester 2009/10 (Exercise)
  • ERASMUS Teachers’ Mobility Program
    • Clustering over Data Streams (Short Lecture)
      Feb 2012 @ LIAAD, University of Porto, Portugal
    • Classification Rule Mining over a Perennial Stream (Short Lecture)
      Feb 2012 @ University of Porto, Portugal
    • Relational Streams and Evolving Objects (Short Lecture)
      Jun 2013 @ Polytechnical University of Madrid, Spain
Publications

2015

Predicting the post-treatment recovery of patients suffering from traumatic brain injury (TBI). Brain Informatics, 1-12, Springer Berlin Heidelberg, 2015. URL

Learning Relational User Profiles and Recommending Items as Their Preferences Change. International Journal on Artificial Intelligence Tools, (24)02:31 pages, 2015. URL

2014

Are Some Brain Injury Patients Improving More Than Others?. The 2014 International Conference on Brain Informatics and Health (BIH \'14), Warsaw, Poland., 2014.

xStreams: Recommending Items to Users with Time-evolving Preferences. 4th International Conference on Web Intelligence, Mining and Semantics(WIMS 14), Thessaloniki, Greece., 2014.

2013

Mining perennial objects PhD thesis. 2013. URL

2012

Where Are We Going? Predicting the Evolution of Individuals. In Jaakko Hollmén, Frank Klawonn, and Allan Tucker (Eds.), Advances in Intelligent Data Analysis XI, (7619):357-368, Springer Berlin Heidelberg, 2012. URL

Discovering Global and Local Bursts in a Stream of News. Proceedings of the 27th Annual ACM Symposium on Applied Computing, 807--812, ACM, New York, NY, USA, 2012. URL

2011

Online Clustering of High-Dimensional Trajectories under Concept Drift. In Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, and Michalis Vazirgiannis (Eds.), Machine Learning and Knowledge Discovery in Databases, (6912):261-276, Springer Berlin Heidelberg, 2011. URL

Classification Rule Mining for a Stream of Perennial Objects.. In Nick Bassiliades, Guido Governatori, and Adrian Paschke (Eds.), RuleML Europe, (6826):281-296, Springer, 2011. URL

A data generator for multi-stream data. The second International Workshop on Mining Ubiquitous and Social Environments, MUSE '11, September 5, 2011 Athens, Greece, 2011. URL

2010

Tree Induction over Perennial Objects.. In Michael Gertz, and Bertram Ludäscher (Eds.), SSDBM, (6187):640-657, Springer, 2010. URL

2009

Stream Clustering of Growing Objects.. In João Gama, Vítor Santos Costa, Alípio Mário Jorge, and Pavel Brazdil (Eds.), Discovery Science, (5808):433-440, Springer, 2009. URL

Combining Multiple Interrelated Streams for Incremental Clustering.. In Marianne Winslett (Eds.), SSDBM, (5566):535-552, Springer, 2009. URL

Miscellanious

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