Mohammad Akbari
Assistant Professor
Department of Mathematics and Computer Science
Computer Science
Department of Mathematics and Computer Science
Computer Science
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Email:
akbari.ma
aut.ac.ir
aut.ac.irPhone:
+9821-64545875
h-index (Scopus):
9
Citations (Scopus):
429
Supervised MSc Theses
#
Thesis title
By
Date
1
User Preference Learning via Conversation in Recommender Systems
Amir Hossein Karimi & Mohammad Akbari
October 2022
2
Identification of biomarkers for predicting gestational age
Arezou Pakseresht & Mohammad Akbari
October 2022
3
Predicting the success of startups based on online data using machine learning
Mahsa Haj Lotfalia & Mohammad Akbari
October 2022
4
Multi-task learning for furniture and style detection
Hanieh Ghabelialla & Mohammad Akbari
July 2022
5
Multi-hop Question Answering based on deep learning
Shahrzad Zolghadr & Mohammad Akbari
March 2022
6
Liveness Detection in Face Recognition
Sharzad Esmat & Mohammad Akbari
March 2022
7
Audio – Visual Speech Recognition by Deep Neural Networks
Hekmat Beigverdi & Mohammad Akbari
March 2022
8
Recommender System via Graph Convolutional Networks
Ghazal Molazadeh & Mohammad Akbari
March 2022
9
action recognition using zero-shot learning
Zeynab Saeedi Dehshali & Mohammad Akbari
March 2022
10
Designing A Credit Scoring Ensemble Learning Model
Mahsan Abdoli & Mohammad Akbari
March 2021
Journal Papers
Portal Records
1
Mahsan Abdoli, Mohammad Akbari, Jamal Shahrabi, "Bagging Supervised Autoencoder Classifier for Credit Scoring", EXPERT SYSTEMS WITH APPLICATIONS, March 2023
Vol. 213,
Num. 0,
Page 2-13,
March 2023,
2
Maryam Etemadi, Sepidehbazzaz Abkenar, Ahmad Ahmadzadeh, Mostafa Haghi Kashani, Parvaneh Asghari, Mohammad Akbari, Ebrahim Mahdipour, "A systematic review of healthcare recommender systems: Open issues, challenges, and techniques", EXPERT SYSTEMS WITH APPLICATIONS, September 2022
Vol. 213,
Num. 0,
Page 1-27,
September 2022,
3
Yaghoob Karimi, Mostafa Haghi Kashani, Mohammad Akbari, Ebrahim Mahdipour, "Leveraging big data in smart cities: A systematic review", CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, June 2021
Vol. 33,
Num. 21,
Page 0-0,
June 2021,
Other Records
1
Reza Rawassizadeh, Chelsea Dobbins, Mohammad Akbari, Michael Pazzani, "Indexing multivariate mobile data through spatio-temporal event detection and clustering", Sensors, 2019
Vol. 19,
Num. 3,
Page ,
2019,
2
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. ,
Num. ,
Page ,
2017,
3
, "Wellness Representation of Users in Social Media: Towards Joint Modelling of Heterogeneity and Temporality", Transaction on Knowledge and Data Engineering, 2017
Vol. 29,
Num. 10,
Page ,
2017,
4
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,
Num. ,
Page ,
2016,
5
Mohammad Akbari, Liqiang Nie, and Tat-Seng Chua, "aMM: Towards adaptive ranking of multi-modal documents", International Journal of Multimedia Information Retrieval, 2015
Vol. ,
Num. ,
Page ,
2015,
6
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,
Num. 2,
Page ,
2015,
Conference Papers
Other Records
1
Mohammad Akbari, Alberto Cetoli, Stefano Bragaglia, Andrew D. O’Harney, Marc Sloan, and Jun Wang, "Modeling User Return Time Using Inhomogeneous Poisson Process", The European Conference on Information Retrieval (ECIR), 2019
2
Alberto Cetoli, Stefano Bragaglia, Andrew D. O’ Harney, Marc Sloan, Mohammad Akbari, "A Neural Approach to Entity Linking on Wikidata", The European Conference on Information Retrieval (ECIR), 2019
3
Mohammad Akbari, and Rumi Chunara, "Using Contextual Information to Improve Blood Glucose Prediction", In Machine Learning for Healthcare Conference, 2019
4
Zou, Shihao, Zhonghua Li, Mohammad Akbari, Jun Wang, and Peng Zhang, "MarlRank: Multi-agent Reinforced Learning to Rank", The Conference on Information and Knowledge Management (CIKM), 2019
5
Ray Han, Mohammad Akbari, "Vertical Domain Text Classification: Towards Understanding IT Tickets using Deep Neural Networks", AAAI Conference on Artificial Intelligence, 2018
6
Mohammad Akbari, Rumi Chunara, "From the User to the Medium: Deep Profiling Across Web Communities to Augment Disease Epidemiology", The International AAAI Conference on Web and Social Media (ICWSM), 2018
7
Han, Jianglei, Ka Hian Goh, Aixin Sun, and Mohammad Akbari, "Towards Effective Extraction and Linking of Software Mentions from User-Generated Support Tickets", The Conference on Information and Knowledge Management (CIKM), 2018
8
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", ACM Conference on Computer-Supported Cooperative Work and Social Computing, 2018
9
Mohammad Akbari, Tat-Seng Chua, "Leveraging Behavioral Factorization and Prior Knowledge for Community Discovery and Profiling", The Tenth ACM International Conference on Web Search and Data Mining, 2017
10
Mohammad Akbari, Xia Hu, Liqiang Nie, Tat-Seng Chua, "On the Organization and Retrieval of Health QA Records for Community-based Health Services", International Joint Conference on Artificial Intelligence, 2016
11
Song, Xuemeng, Liqiang Nie, Luming Zhang, Mohammad Akbari, and Tat-Seng Chua, "Multiple social network learning and its application in volunteerism tendency prediction", The 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015
12
Farseev, Aleksandr, Liqiang Nie, Mohammad Akbari, and Tat-Seng Chua, "Harvesting multiple sources for user profile learning: a big data study", The ACM on International Conference on Multimedia Retrieval, 2015
13
Nie, Liqiang, Mohammad Akbari, Tao Li, and Tat-Seng Chua, "A joint local-global approach for medical terminology assignment", The 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014
14
Nie, Liqiang, Tao Li, Mohammad Akbari, Jialie Shen, and Tat-Seng Chua, "Wenzher: Comprehensive vertical search for healthcare domain", The 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014
Journals Editorial Board
#
Magazine Title
Date of Cooperation & Explanations
1
Associate Editor, Journal of Frontiers in Artificial Intelligence
2
IEEE Transaction on Knowledge and Data Engineering (TKDE).
3
ACM Transaction on Knowledge and Data Discovery (TKDD).
4
Pattern Recognition Letters Journal
5
Journal of Information Sciences.
6
Journal of Data Mining and Knowledge Discovery
7
Journal of Biomedical Informatics (JBI).
Taught Courses
#
Course title
Description
Headlines
Date
1
Computer Prog.
To familiarize the trainee with basic concepts of computer programming and developer tools. To present the syntax and semantics of the “C” language as well as data types offered by the Language. To allow the trainee to write their own programs us
Fall 2022
2
Data Structures & Algorithms
Covers the design, analysis, and implementation of data structures and algorithms to solveengineering problems using an object?oriented programming language. Topics include elementary datastructures, (including arrays, stacks, queues, and lists), adv
Fall 2022
3
Machine Learning
This course provides a fundamental introduction to the mathematics, algorithms and practice of machine learning, focusing on representation, loss functions, and optimization.
Fall 2022
4
NATURAL LANGUAGE PROCESSING
This course introduces students to a variety of NLP methods available for reasoning about text in computational systems. We will focus on major algorithms used in NLP for various applications (e.g., part-of-speech tagging, parsing, machine translatio
Spring 2022
5
Computer Prog.
To familiarize the trainee with basic concepts of computer programming and developer tools. To present the syntax and semantics of the “C” language as well as data types offered by the Language. To allow the trainee to write their own programs us
Spring 2022
6
Artificial Intelligence & Workshop
The goal of the subfield of Artificial Intelligence is to build software systems that behave intelligently. By this, we mean that the computer systems do the right thing in complex environments--that they act optimally given the limited information a
Spring 2022
7
Machine Learning
This course provides a fundamental introduction to the mathematics, algorithms and practice of machine learning, focusing on representation, loss functions, and optimization.
Fall 2021
8
Data Structures & Algorithms
Covers the design, analysis, and implementation of data structures and algorithms to solveengineering problems using an object?oriented programming language. Topics include elementary datastructures, (including arrays, stacks, queues, and lists), adv
Fall 2021
9
Computer Prog.
To familiarize the trainee with basic concepts of computer programming and developer tools. To present the syntax and semantics of the “C” language as well as data types offered by the Language. To allow the trainee to write their own programs us
Fall 2021