Pouya Foudeh

Pouya Foudeh
Universiti Teknologi Malaysia | UTM · Faculty of Computing (FC)

Doctor of Philosophy

About

6
Publications
751
Reads
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13
Citations
Introduction
Pouya Foudeh currently works at the Faculty of Computing (FC), Universiti Teknologi Malaysia. Pouya does research in Artificial Intelligence, Databases and Information Science. Their most recent publication is 'A probabilistic data-driven method for human activity recognition'.
Additional affiliations
June 2005 - June 2008
Islamic Azad University of Rudehen
Position
  • Lecturer
June 2005 - present
Islamic Azad University Karaj Branch
Position
  • Lecturer
Education
July 2009 - December 2018
Universiti Teknologi Malaysia
Field of study
  • Computer Science
September 2001 - January 2005
Islamic Azad University, Najafabad Branch
Field of study
  • Computer Engineering
September 1997 - September 2001
Islamic Azad University, Najafabad Branch
Field of study
  • Computer Engineering

Publications

Publications (6)
Preprint
Full-text available
Efficiency and scalability are obstacles that have not yet received a viable response from the human activity recognition research community. This paper proposes an activity recognition method. The knowledge model is in the form of ontology, the state-of-the-art in knowledge representation and reasoning. The ontology starts with probabilistic infor...
Article
Full-text available
This paper proposes a probabilistic, time efficient, data-driven method for human low and medium level activity recognition and indoor tracking. The obtained results can be applied to a probabilistic reasoner for high level activity recognition. The proposed method is tested on Opportunity, a dataset consisting of daily morning activities in a high...
Conference Paper
This paper proposes a data-driven method for constructing materials to be used in a probabilistic knowledge base for human activity recognition. The utilized dataset, challenge subset of Opportunity, is a publicly available dataset. It consists of a set of daily activities, which has been manually labeled as modes of locomotion and gestures. We app...
Conference Paper
Duplicate publication and plagiarism are two major problems in scholarly world and even they are called the cancer of academia. Plagiarism detection systems try to find similar publications of a specific article; yet, there is a little advance in holistic plagiarism detection systems. Text similarity services, without a human manual confirmation, a...
Conference Paper
Human knowledge is limited therefore some information is incomplete or contradictory. When we develop an ontology, using an automatic ontology learning system or by human, with such information, the ontology would be inconsistent or we need to manage uncertain information. In non probabilistic approach, system discovers inconsistencies and then eli...
Conference Paper
Full-text available
Medical diagnoses for clinical patients are recorded by a physician at the time of admission and discharge from hospital as well as death. Nowadays this information is documented in patient file not only in form of ordinary reports but also in ICD-10 codes to reach more accurate interpretation and use them in statistical surveys. ICD code assignmen...