Mohammad Akbari - Amirkabir University of Technology

Research Interests

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Title

Start date

1

Natural Language Processing

2

Machine Learning

3

Artificial Intelligence

4

Innovation and Business

Supervised PhD Theses

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Thesis title

By

Date

1

Hate speech detection in low resource languages

ASSEEL JABBAR HASAB AL-MAHDI & Ali Mohades Khorasani
Other Supervisor:

2025 Jun

Supervised MSc Theses

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Thesis title

By

Date

1

Imbalanced Data classification using Generative Networks

SEYED MOHAMMAD HOSSEIN SAJJADIAN

2024 Oct

2

A conversational revommender system based on user preferences

FATEME SADAT ALIKHANI

2024 Sep

3

Design of a reliable and trustable IDO platform

ELNAZ NOROZTAJARI
Other Supervisor: Mohammad bashir Sedighi

2024 Sep

4

Job Recommender System Using Natural Language Processing Techniques & Collaborative Filtering

SINA ZAMANI
Other Supervisor: ZAHED RAHMATI

2024 Feb

5

Transfer Learning in Automatic Persian Speech Recognition for Voice Assistants

MOHAMMAD TAHMASEBI
Other Supervisor: ZAHED RAHMATI

2024 Feb

6

Persian social media data analysis to identify the events and their attributes

MOHAMMADALI SEFIDI ESFAHANI

2023 Sep

7

A Machine learning approach for Bipolar and border line disorder classification

MOHAMMAD JAVAD NAZARI & SAEED SHIRY GHIDARY
Other Supervisor:

2023 Jul

8

An Empathetic Persian Chatbot

FATEMEH INANLOO SOLTAN AHMADLOO & Ali Mohades Khorasani
Other Supervisor:

2023 Jul

9

A SELF-Supervised Music Recommender System to Reduce Nervous Driving

ARVIN ESMAILI & MEHDI GHATEE
Other Supervisor:

2023 Mar

10

Modeling Protein Metabolite Interaction Using Metabolic Networks

FAYAZ SOLEYMANI BABADI
Other Supervisor: FATEMEH ZARE MIRAKABAD

2023 Mar

11

Cross-learning transfer lerning for Question Answering

KIANA GHEZELBASH & Ali Mohades Khorasani
Other Supervisor:

2023 Mar

12

User Preference Learning via Conversation in Recommender Systems

AMIR HOSSEIN KARIMI
Other Supervisor: Ali Mohades Khorasani

2022 Oct

13

Predicting the success of startups based on online data using machine learning

MAHSA HAJ LOTFALIA

2022 Oct

14

Identification of biomarkers for predicting gestational age

AREZOU PAKSERESHT & FATEMEH ZARE MIRAKABAD
Other Supervisor:

2022 Oct

15

Multi-task learning for furniture and style detection

HANIEH GHABELIALLA

2022 Jul

16

Liveness Detection in Face Recognition

SHARZAD ESMAT

2022 Mar

17

Audio - Visual Speech Recognition by Deep Neural Networks

HEKMAT BEIGVERDI & M.HASSAN SHIRALI-SHAHREZA
Other Supervisor:

2022 Mar

18

Multi-hop Question Answering based on deep learning

SHAHRZAD ZOLGHADR & SEYYED NASER HASHEMI
Other Supervisor:

2022 Mar

19

action recognition using zero-shot learning

ZEYNAB SAEEDI DEHSHALI

2022 Mar

20

Recommender System via Graph Convolutional Networks

GHAZAL MOLAZADEH & SEYYED NASER HASHEMI
Other Supervisor:

2022 Mar

21

Designing A Credit Scoring Ensemble Learning Model

MAHSAN ABDOLI & JAMAL SHAHRABI
Other Supervisor:

2021 Mar

22

Predicting sgRNA effect on Cas9 cleavage

MASOUD MAHDAVIFAR & FATEMEH ZARE MIRAKABAD
Other Supervisor:

2025 Sep

23

Applications of TinyML in the prediction and diagnosis of cardiovascular diseases

ALI REZA KEIVANIMEHR

2025 Mar

24

Creating feature dependent counterfactual explanations

SOOROUSH RIAZI
Other Supervisor: ZAHED RAHMATI

2025 Apr

Journal Papers

1

S. Kord, T. Taghikhany, M. Akbari, "Structural damage detection by multi-setup sensing: a direct data-driven approach", Smart Materials and Structures, 2025 Sep vol. , no. , pp.-, 2025.

2

A. Vefghi, Z. Rahmati, M. Akbari, "Drug-Target Interaction/Affinity Prediction: Deep Learning Models and Advances Review", Computers In Biology and Medicine, 2025 Jul vol. 196, no. , pp.110438-, 2025.

3

Sahar Shokrpour, Amirmehdi Moghadamfarid, Sepideh Bazzaz Abkenar, Mostafa Haghi Kashani, M. Akbari, Mostafa Sarvizadeh, "Machine learning for Parkinson's disease: a comprehensive review of datasets, algorithms, and challenges", Npj Parkinsons Disease, 2025 Jul vol. 11, no. , pp.1-52, 2025.

4

Marzieh Oghbaie, A. Sabaghi Khameneh, Kooshan Hashemifard, M. Akbari, "When deep learning deciphers silent video: a survey on automatic deep lip reading", Multimedia Tools and Applications, 2025 Mar vol. , no. , pp.-, 2025.

5

A.R. Keivanimehr, M. Akbari, "TinyML and edge intelligence applications in cardiovascular disease: A survey", Computers In Biology and Medicine, 2025 Jan vol. 186, no. 1, pp.1-22, 2025.

6

M. Akbari, A.H. Karimi, T. Saeedi, , K. Ghezelbash, F. Shamsezat, M. Akbari, A. Mohades Khorasani, "A persian benchmark for joint intent detection and slot filling", Aut Journal of Mathematics and Computing, 2025 Jan vol. , no. , pp.-, 2025.

7

Amirhossein Jamarani, Saeid Haddadi, Raheleh Sarvizadeh, Mostafa Haghi Kashani, M. Akbari, Saeed Moradi, "Big data and predictive analytics: A systematic review of applications", Artificial Intelligence Review, 2024 Jun vol. 57, no. 176, pp.1-77, 2024.

8

S. Kord, T. Taghikhany, M. Akbari, "A Novel Spatiotemporal 3D CNN Framework with Multi-task Learning for Efficient Structural Damage Detection", Structural Health Monitoring-An International Journal, 2023 Nov vol. online, no. 1, pp.1-18, 2023.

9

M. Paykan Heyrati, Z. Ghorbanali, M. Akbari, Ghasem Pishgahi, F. Zare Mirakabad, "BioAct-Het: A Heterogeneous Siamese Neural Network for Bioactivity Prediction Using Novel Bioactivity Representation", Acs Omega, 2023 Nov vol. 47, no. 8, pp.44757-44772, 2023.

10

Z. Ghorbanali, F. Zare Mirakabad, Najmeh Salehi, M. Akbari, Research Open Access Published: 03 October 2023 Drugrep-hesiagraph: When Heterogenous, "DrugRep-HeSiaGraph: when heterogenous siamese neural network meets knowledge graphs for drug repurposing", Bmc Bioinformatics, 2023 Oct vol. 374, no. 24, pp.1-31, 2023.

11

F. Rezaei, M. Akbari, Y. Rafiei, Abdolhossein Hemmati?sarapardeh, "Compositional modeling of gas-condensate viscosity using ensemble approach", Scientific Reports, 2023 Jun vol. 13, no. 1, pp.1-21, 2023.

12

Sepideh Bazzaz Abkenar, Mostafa Haghi Kashani, M. Akbari, Ebrahim Mahdipour, "Learning textual features for Twitter spam detection: A systematic literature review", Expert Systems With Applications, 2023 May vol. 228, no. 0, , 2023.

13

Z. Ghorbanali, F. Zare Mirakabad, M. Akbari, Najmeh Salehi, Ali Masoudi-nejad, "DrugRep-KG: Toward Learning a Unified Latent Space for Drug Repurposing Using Knowledge Graphs", Journal of Chemical Information and Modeling, 2023 Apr vol. 10, no. 21, pp.1-20, 2023.

14

M. Abdoli, M. Akbari, J. Shahrabi, "Bagging Supervised Autoencoder Classifier for Credit Scoring", Expert Systems With Applications, 2023 Mar vol. 213, no. 0, pp.2-13, 2023.

15

Maryam Etemadi, Sepidehbazzaz Abkenar, Ahmad Ahmadzadeh, Mostafa Haghi Kashani, Parvaneh Asghari, M. Akbari, Ebrahim Mahdipour, "A systematic review of healthcare recommender systems: Open issues, challenges, and techniques", Expert Systems With Applications, 2022 Sep vol. 213, no. 0, pp.1-27, 2022.

16

Saeedeh Eslami1, Reza Monsefi, M. Akbari, "Learning a Unified Latent Space for NAS: Toward Leveraging Structural and Symbolic Information", Ieee Access, 2022 Sep vol. 10, no. 1, pp.102945-102956, 2022.

17

Saeedeh Eslami, Reza Monsefi, M. Akbari, "Towards Leveraging Structure for Neural Predictor in NAS", Journal of Computer and Knowledge Engineering, 2022 Jun vol. 5, no. 1, pp.47-58, 2022.

18

Yaghoob Karimi, Mostafa Haghi Kashani, M. Akbari, Ebrahim Mahdipour, "Leveraging big data in smart cities: A systematic review", Concurrency and Computation-Practice and Experience, 2021 Jun vol. 33, no. 21, , 2021.

1

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.

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. , no. , p., 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, no. 10, p., 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, no. , p., 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. , no. , p., 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, no. 2, p., 2015.

Conference Papers

1

S. Riazi, M. Akbari, Z. Rahmati, "ICSE: Interpretable Counterfactual/SemiFactual Explanations,", The First International Conference on Machine Learning and Knowledge Discovery, Dec 2024.

2

M. Sefidi Esfahani, M. Akbari, "Feature learning for Persian event detection from Twitter,", 28th International Computer Conference, the ComputerSociety of Iran, Jan 2023.

3

M. Haj Lotfalia, S.M. Hashemian, M. Akbari, "Startup Success Prediction Using Machine Learning,", National Conference on Computer Science and Engineering and Information Technology, Nov 2022.

4

Shihao Zou, Zhonghua Li, M. Akbari, Jun Wang, Peng Zhang, "MarlRank: Multi-agent Reinforced Learning to Rank,", n The 28th ACMInternational Conference on Information and Knowledge Management, Nov 2019.

5

M. Akbari, Rumi Chunara, "Using Contextual Information to Improve Blood Glucose Prediction,", Using Contextual Information to Improve Blood Glucose Prediction, Aug 2019.

1

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

2

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

3

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

4

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

5

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

6

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

9

Mohammad Akbari, Tat-Seng Chua, "Leveraging Behavioral Factorization and Prior Knowledge for Community Discovery and Profiling", 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", 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", 2015.

12

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

13

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

14

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

Journals Editorial Board

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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

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Course title

Description

Headlines

Date

1

NATURAL LANGUAGE PROCESSING

4032

2

Entrepreneurship

4032

3

Database & Workshop

4032

4

Introduction to Computer & Programming

4031

5

Advanced Programming & Workshop

4031

6

Advanced Artificial Intelligence

4031

7

Computer Workshop

4031

8

Data Structures & Algorithms

4031

9

Computer Prog.

4011

10

Data Structures & Algorithms

4011

11

Machine Learning

4011

12

NATURAL LANGUAGE PROCESSING

4002

13

Artificial Intelligence & Workshop

4002

14

Computer Prog.

4002