EHSAN NAZERFARD - Amirkabir University of Technology

Supervised MSc Theses

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Thesis title

By

Date

1

Query Recommendation in Search Engines using Text Embedding and Graph Embedding

ALIREZA MAZOCHI & SAEEDE MOMTAZI

2024 Feb

2

Transfer Learning For Human Activity Recognition Using Mobile and Wearable Sensors

MOHAMADREZA JAFAEI RAHNI

2024 Feb

3

Improving learning on imbalanced dataset using deep learning

HADI MOHAMMADI

2023 Sep

4

Visual Self-supervised Learning for Image Object Detection

SHERVIN HALAT & MOHAMMAD RAHMATI

2023 Feb

5

Employing Deep Reinforcement Learning for Conversational Recommender Systems

SHADI RASHTIAN

2022 Oct

6

Video violence detection using deep reinforcement learning

HAMID MOHAMMADI

2022 Oct

7

Improving Training Stability in Deep Reinforcement Learning

ALIREZA NADALI

2022 Jul

8

Multiview Deep Subspace Clustering based on Graph Learning

NILOOFAR MEHDIZADEH

2022 Mar

9

Predicting Patients recovery Process based on medical records using deep learning

AMIR HOSSEIN BATOUEI

2021 Oct

10

image retrieval based on using statistical modeling

MARYAM TAHERI GOLPAYEGANI & MARYAM AMIR MAZLAGHANI

2021 Oct

11

Deep Learning For Human Activity Recognition Using Mobile and Wearable Sensors

MOHAMMAD TAVAKKOLI

2021 Sep

12

Improved environmental perception in Autonomous Vehicles using deep neural neworks

MILAD BOHLOULI

2021 Sep

13

Design and implemention of dialogue system between human and chatbot using deep learning

ALIREZA FARASAT MEMAR

2020 Dec

14

A an unsupervised method for strategy detection in iterated prisoners dilemma

SALEH JAFARIZADEH

2020 Jul

15

Routing Optimization in Knowledge-Defined Networking: A Deep Learning Approach

SAMIRA MOKABBERI & MEHDI DEHGHAN TAKHT FOOLADI

2020 Jul

16

addressing learning challenge in imbalanced datasets

RASOOL PANAHI

2020 Jul

17

providing a method for link prediction in complex networks

MASOUD MALEK & Mostafa HaghirChehreghani

2020 Jul

18

Abnormal activity detection for the elderly people in smart homes

ZAHRA ATASHGAHY

2019 Sep

19

Cross-subject Transfer Learning in Human Activity Recognition using Generative Adversarial Networks

ELNAZ SOLEIMANI

2019 Feb

20

Activity Recognition on Streaming Sensor Data

PARVIZ ASGHARI

2018 Feb

21

Predicting Drug-drug Interactions In Physician Prescriptions

MOHAMMADREZA ABDOLLAHI

2016 Oct

22

Human activity recognition in smart environments using self supervised learning

ARDALAN NAHAVANDI FARD

2025 Sep

23

Capsule Network For Activity Recognition Using Mobile And Wearable Sensors

SEYEDEHKOBRA HOSSEINI

2025 Aug

Journal Papers

1

SOLTAN SAJAD ، Ashrafi Maryam ، NAZERFARD EHSAN, "A novel deep reinforcement learning method for solving resource-constrained multi-project scheduling problem: twin delayed deep deterministic policy gradient", Computers and Industrial Engineering, 2026 Jun vol. 217, no. , pp.112048-112066, 2026.

2

AMIRASLANKHAN MOHAMMADREZA ، BEHNAM BEHROUZ ، NAZERFARD EHSAN ، HAGHBIN YOUSEFI MAEDEH, "Machine Learning Assessment of Fire Resistance in Seismically Designed Reinforced Concrete Structures", Fire-Switzerland, 2026 May vol. 9, no. 224, pp.1-21, 2026.

3

FERAYDOUNRAAD EBRAAHIM ، HOSSEINI SEYEDEHKOBRA ، NAZERFARD EHSAN, "Distance graph routing capsule network with vote elimination for human activity recognition", Expert Systems With Applications, 2025 May vol. 290, no. , pp.-, 2025.

4

TAVAKKOLI MOHAMMAD ، NAZERFARD EHSAN ، AMIR MAZLAGHANI MARYAM, "Wavelet-domain human activity recognition utilizing convolutional neural networks", Journal of Ambient Intelligence and Smart Environments, 2023 Nov vol. 16, no. 1, pp.1-14, 2023.

5

HAGHIGHI MOHAMMADHOSSEIN ، Ashrafi Maryam ، NAZERFARD EHSAN, "A novel fuzzy Bayesian network-based approach for the project time-cost-quality trade-off problem", Aut Journal of Modeling and Simulation, 2023 Feb vol. 54, no. 2, pp.185-196, 2023.

6

MOHAMMADI HAMID ، NAZERFARD EHSAN, "Video violence recognition and localization using a semi-supervised hard attention model", Expert Systems With Applications, 2022 Sep vol. 0, no. 0, pp.1-10, 2022.

7

SOLEIMANI ELNAZ ، NAZERFARD EHSAN, "Cross-Subject Transfer Learning in Human Activity Recognition Systems using Generative Adversarial Networks", Neurocomputing, 2020 Nov vol. 0, no. 0, pp.1-11, 2020.

8

Milad Sadat Mohammadi ، Morteza Nazari-Heris ، NAZERFARD EHSAN ، ABEDI MEHRDAD ، Somayeh Asadi ، Houtan Jebelli, "Intelligent Approach for Residential Load Scheduling", Iet Generation Transmission and Distribution, 2020 Sep vol. 14, no. 21, pp.4738-4745, 2020.

9

ASGHARI PARVIZ ، SOLEIMANI ELNAZ ، NAZERFARD EHSAN, "Online Human Activity Recognition Employing Hierarchical Hidden Markov Models", Journal of Ambient Intelligence and Humanized Computing, 2019 Jun vol. 11, no. 1, pp.1-12, 2019.

10

NAZERFARD EHSAN, "Temporal Features and Relations Discovery of Activities from Sensor Data", Journal of Ambient Intelligence and Humanized Computing, 2018 May vol. 10, no. 1, pp.1-15, 2018.

11

BATOUEI AMIR HOSSEIN ، NAZERFARD EHSAN ، ASKARI AMIRHOSEIN, "Predicing Patient Recovery Using Electronic Health RXhgecords and Variational Autoencoders", .Aut Journal of Mathematics and Computing, vol. , no. , pp.-, .

Conference Papers

1

NAGHIZADEH SHAYAN ، RAJABI MOHAMMAD SAEED ، NAZERFARD EHSAN, "Beyond One-Hot: CatBoost for Heating and Cooling Load Prediction,", Dec 2025.

2

ATASHGAHY ZAHRA ، JAFAEI RAHNI MOHAMADREZA ، NAZERFARD EHSAN ، NADALI ALIREZA, "Anomaly Detection using ConvLSTM Autoencoder in Smart Home Environments,", Machine Learning and Knowledge Discovery (MLKD 2024), Dec 2024.

3

BATOUEI AMIR HOSSEIN ، NAZERFARD EHSAN ، ASKARI AMIRHOSEIN, "Predicting Patient's Recovery Process Using Electronic Health Records With Supervised Variational Autoencoder,", Machine Learning and Knowledge Discovery (MLKD 2024), Dec 2024.

4

HALAT SHERVIN ، RAHMATI MOHAMMAD ، NAZERFARD EHSAN, "Visual Self-supervised Learning Scheme for Dense Prediction Tasks on X-ray Images,", International Symposium on Telecommunication (IST2024), Nov 2024.

5

SMAEILI MARYAM ، NAZERFARD EHSAN, "Routes Analysis and Dependency Detection Based on Traffic Volume: A Deep Learning Approach,", Artificial Intelligence and Smart Vehicles, May 2023.

6

MALEK MASOUD ، HaghirChehreghani Mostafa ، NAZERFARD EHSAN ، Morteza Haghir Chehreghani, "Shallow Node Representation Learning using Centrality Indices,", 2021 IEEE International Conference on Big Data (IEEE BigData 2021), Dec 2021.

7

PANAHI RASOOL ، SEDGHIYE NIMA ، NAZERFARD EHSAN, "A novel data cleaning method for learning in imbalanced datasets based on k-nearest neighbors,", 10th International Conference on Computer and Knowledge Engineering, Oct 2020.

8

RISHEH ALI ، JALILI SHANI SEYED AMIRMOHAMMAD ، NAZERFARD EHSAN, "Smart Irrigation IoT Solution using Transfer Learning for Neural Networks,", 10th International Conference on Computer and Knowledge Engineering, Oct 2020.

9

MASHAYEKHI YOOSOF ، NAZERFARD EHSAN ، Alireza Ranjbar ، Samira shirzadeh, "The MinMax Fuzzy C-Means,", 5th International Conference on Knowledge-Based Engineering and Innovation, Feb 2019.

10

ASGHARI PARVIZ ، NAZERFARD EHSAN, "Activity Recognition using Hierarchical Hidden Markov Models on Streaming Sensor Data,", The 9th International Symposium on Telecommunications, Dec 2018.

11

RAHIMI GHAZIKALAYEH MASOOMEH ، ZAREI ASGHAR ، NAZERFARD EHSAN ، MORADI MOHAMMAD HASSAN, "Ensemble Methods Combination for Motor Imagery Tasks in Brain Computer Interface,", International Iranian Conference on Biomedical Engineering-ICBME, Nov 2016.

Taught Courses

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Course title

Description

Headlines

Date

1

Data Mining

4051

2

Data Mining

هدف از مبحث داده کاوی، پردازش داده ها و مطالعه الگوریتمهایی است که قادر به کشف دانش از داده ها هستند. معمولا دامنه و داده های مربوط به دامن�

4042

3

Applied Machine Learning

امروزه یادگیری ماشین در حوزه های مختلف علوم و مهندسی کاربرد فراوان یافته است. هدف این درس آشنایی دانشجویان رشته های مختلف مهندسی با یادگی�

4042

4

(Machine Learning)

4041

5

Data Mining

4041

6

(Applied Machine Learning)

4032

7

(Machine Learning)

4032

8

Data Mining

4032