Dr. Isara Anantavrasilp anantavr (at) in.tum.de Technische Universität München Institut für Informatik I1 Boltzmannstraße 3 D-85748 Garching b. München Germany

Research Interests

• Intelligent Radio Frequency ID (RFID) reader
• Real-time IP flow classification system
• Internet connection behaviors
• Adaptive classifier
• Machine learning
• Intelligent mobile devices

Disseration

• Anantavrasilp, I.: Supervised Machine Learning Assisted Real-Time Flow Classification System: A Real-Time Approach to Flow Classification, Dissertation, Technische Universität München, 2010.

Publications

• Anantavrasilp, I.: Intelligent IP traffic / flow classification system. In: Proceedings of the 8^th International Network Conference, Heidelberg, 2010. 
  This paper has received the Selected Paper Award at the conference.

• Anantavrasilp, I.: A unified framework for flow classification. In: Proceedings of International Conference on Computer Design and Applications, Singapore, 2009.
• Anantavrasilp, I. and Schöler, T.: Automatic flow classification using machine learning. In: Proceedings of the 15th International Conference on Software, Telecommunications and Computer Networks, Dubrovnik, 2007.
• Anantavrasilp, I. and Schöler, T.: Providing quality-of-service support to legacy applications using machine learning. In: Proceedings of IADIS International Conference on Telecommunications, Networks and Systems, Lisbon, 2007.
  This paper has received the Outstanding Paper Award at the conference.

Patents

• DE102007042588 - Method for monitoring data flows in data packet of data stream, having different data flows, involves collecting and assigning data flows by data packets depending on send addresses or target addresses of data packets , 2007

• WO2008006773 - Communication System and Communication Method for Data Communication, 2006
  

Teaching and Supervising

• iOS Programming
• Patterns in Software Engineering
• Supervisor for iPhone/iPad Praktikum projects
• Introduction in die Informatics 2