Mohammad Akbari - Amirkabir University of Technology

Reza Rawassizadeh, Chelsea Dobbins, Mohammad Akbari, Michael Pazzani, "Indexing multivariate mobile data through spatio-temporal event detection and clustering", Sensors, 2019 vol. 19, no. 3, p., 2019.

Mostafa Rezazad, Matthias Brust, Mohammad Akbari, Pascal Bouvry, Ngai-Man Cheung, "Detecting Target-Area Link-Flooding DDoS Attacks using Traffic Analysis and Supervised Learning", Advances In Information and Communication Networks, 2017 vol. , no. , p., 2017.

, "Wellness Representation of Users in Social Media: Towards Joint Modelling of Heterogeneity and Temporality", Transaction On Knowledge and Data Engineering, 2017 vol. 29, no. 10, p., 2017.

Mohammad Akbari, Xia Hu, Liqiang Nie, Tat-Seng Chua, "Towards Organizing Health Knowledge on Community-based Health Services", Eurasip Journal On Bioinformatics and Systems Biology, 2016 vol. 17, no. , p., 2016.

Mohammad Akbari, Liqiang Nie, and Tat-Seng Chua, "aMM: Towards adaptive ranking of multi-modal documents", International Journal of Multimedia Information Retrieval, 2015 vol. , no. , p., 2015.

Nie, Liqiang, Yi-Liang Zhao, Mohammad Akbari, Jialie Shen, and Tat-Seng Chua, "Bridging the vocabulary gap between health seekers and healthcare knowledge.", Transaction On Knowledge and Data Engineering, 2015 vol. 27, no. 2, p., 2015.

Conference Papers

Mohammad Akbari, Alberto Cetoli, Stefano Bragaglia, Andrew D. O’Harney, Marc Sloan, and Jun Wang, "Modeling User Return Time Using Inhomogeneous Poisson Process", 2019.

Alberto Cetoli, Stefano Bragaglia, Andrew D. O’ Harney, Marc Sloan, Mohammad Akbari, "A Neural Approach to Entity Linking on Wikidata", 2019.

Mohammad Akbari, and Rumi Chunara, "Using Contextual Information to Improve Blood Glucose Prediction", 2019.

Zou, Shihao, Zhonghua Li, Mohammad Akbari, Jun Wang, and Peng Zhang, "MarlRank: Multi-agent Reinforced Learning to Rank", 2019.

Ray Han, Mohammad Akbari, "Vertical Domain Text Classification: Towards Understanding IT Tickets using Deep Neural Networks", 2018.

Mohammad Akbari, Rumi Chunara, "From the User to the Medium: Deep Profiling Across Web Communities to Augment Disease Epidemiology", 2018.

Han, Jianglei, Ka Hian Goh, Aixin Sun, and Mohammad Akbari, "Towards Effective Extraction and Linking of Software Mentions from User-Generated Support Tickets", 2018.

Kunal Relia, Mohammad Akbari, Dustin Duncan, Rumi Chunara, "Socio-spatial Self-organizing Maps: Using Social Media to Assess Relevant Geographies for Exposure to Social Processes", 2018.

Mohammad Akbari, Tat-Seng Chua, "Leveraging Behavioral Factorization and Prior Knowledge for Community Discovery and Profiling", 2017.

Mohammad Akbari, Xia Hu, Liqiang Nie, Tat-Seng Chua, "On the Organization and Retrieval of Health QA Records for Community-based Health Services", 2016.

Song, Xuemeng, Liqiang Nie, Luming Zhang, Mohammad Akbari, and Tat-Seng Chua, "Multiple social network learning and its application in volunteerism tendency prediction", 2015.

Farseev, Aleksandr, Liqiang Nie, Mohammad Akbari, and Tat-Seng Chua, "Harvesting multiple sources for user profile learning: a big data study", 2015.

Nie, Liqiang, Mohammad Akbari, Tao Li, and Tat-Seng Chua, "A joint local-global approach for medical terminology assignment", 2014.

Nie, Liqiang, Tao Li, Mohammad Akbari, Jialie Shen, and Tat-Seng Chua, "Wenzher: Comprehensive vertical search for healthcare domain", 2014.

Journals Editorial Board

Magazine Title

Date of Cooperation & Explanations

Associate Editor, Journal of Frontiers in Artificial Intelligence

IEEE Transaction on Knowledge and Data Engineering (TKDE).

ACM Transaction on Knowledge and Data Discovery (TKDD).

Pattern Recognition Letters Journal

Journal of Information Sciences.

Journal of Data Mining and Knowledge Discovery

Journal of Biomedical Informatics (JBI).