EHSAN NAZERFARD
Assistant Professor
Department of Computer Engineering
Artificial Intelligent and Robotics
Department of Computer Engineering
Artificial Intelligent and Robotics
Download PDF فارسی
Content
Pepole
CV
Download PDF فارسی
Email:
nazerfard
aut.ac.ir
aut.ac.irPhone:
h-index (Scopus):
9
Citations (Scopus):
376
Supervised MSc Theses
#
Thesis title
By
Date
1
Query Recommendation in Search Engines using Text Embedding and Graph Embedding
Alireza Mazochi & Ehsan Nazerfard
February 2024
2
Transfer Learning For Human Activity Recognition Using Mobile and Wearable Sensors
Mohamadreza Jafaei Rahni & Ehsan Nazerfard
February 2024
3
Improving learning on imbalanced dataset using deep learning
Hadi Mohammadi & Ehsan Nazerfard
September 2023
4
Visual Self-supervised Learning for Image Object Detection
Shervin Halat & Ehsan Nazerfard
February 2023
5
Video violence detection using deep reinforcement learning
Hamid Mohammadi & Ehsan Nazerfard
October 2022
6
Employing Deep Reinforcement Learning for Conversational Recommender Systems
Shadi Rashtian & Ehsan Nazerfard
October 2022
7
Improving Training Stability in Deep Reinforcement Learning
Alireza Nadali & Ehsan Nazerfard
July 2022
8
Multiview Deep Subspace Clustering based on Graph Learning
Niloofar Mehdizadeh & Ehsan Nazerfard
March 2022
9
Predicting Patients recovery Process based on medical records using deep learning
Amir Hossein Batouei & Ehsan Nazerfard
October 2021
10
image retrieval based on using statistical modeling
Maryam Taheri Golpayegani & Ehsan Nazerfard
October 2021
11
Improved environmental perception in Autonomous Vehicles using deep neural neworks
Milad Bohlouli & Ehsan Nazerfard
September 2021
12
Deep Learning For Human Activity Recognition Using Mobile and Wearable Sensors
Mohammad Tavakkoli & Ehsan Nazerfard
September 2021
13
Design and implemention of dialogue system between human and chatbot using deep learning
Alireza Farasat Memar & Ehsan Nazerfard
December 2020
14
Routing Optimization in Knowledge-Defined Networking: A Deep Learning Approach
Samira Mokabberi & Ehsan Nazerfard
July 2020
15
addressing learning challenge in imbalanced datasets
Rasool Panahi & Ehsan Nazerfard
July 2020
16
A an unsupervised method for strategy detection in iterated prisoners dilemma
Saleh Jafarizadeh & Ehsan Nazerfard
July 2020
17
providing a method for link prediction in complex networks
Masoud Malek & Ehsan Nazerfard
July 2020
18
Abnormal activity detection for the elderly people in smart homes
Zahra Atashgahy & Ehsan Nazerfard
September 2019
19
Cross-subject Transfer Learning in Human Activity Recognition using Generative Adversarial Networks
Elnaz Soleimani & Ehsan Nazerfard
February 2019
20
Activity Recognition on Streaming Sensor Data
Parviz Asghari & Ehsan Nazerfard
February 2018
21
Predicting Drug-drug Interactions In Physician Prescriptions
Mohammadreza Abdollahi & Ehsan Nazerfard
October 2016
Journal Papers
Portal Records
1
Mohammad Tavakkoli, Ehsan Nazerfard, Maryam Amir Mazlaghani, "Wavelet-domain human activity recognition utilizing convolutional neural networks", JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS, November 2023
Vol. 16,
Num. 1,
Page 1-14,
November 2023,
2
Mohammadhossein Haghighi, Maryam Ashrafi, Ehsan Nazerfard, "A novel fuzzy Bayesian network-based approach for the project time-cost-quality trade-off problem", AUT Journal of Modeling and Simulation, February 2023
Vol. 54,
Num. 2,
Page 185-196,
February 2023,
3
Hamid Mohammadi, Ehsan Nazerfard, "Video violence recognition and localization using a semi-supervised hard attention model", EXPERT SYSTEMS WITH APPLICATIONS, September 2022
Vol. 0,
Num. 0,
Page 1-10,
September 2022,
4
Elnaz Soleimani, Ehsan Nazerfard, "Cross-Subject Transfer Learning in Human Activity Recognition Systems using Generative Adversarial Networks", NEUROCOMPUTING, November 2020
Vol. 0,
Num. 0,
Page 1-11,
November 2020,
5
Milad Sadat Mohammadi, Morteza Nazari-Heris, Ehsan Nazerfard, Mehrdad Abedi, Somayeh Asadi, Houtan Jebelli, "Intelligent Approach for Residential Load Scheduling", IET GENERATION TRANSMISSION & DISTRIBUTION, September 2020
Vol. 14,
Num. 21,
Page 4738-4745,
September 2020,
6
Parviz Asghari, Elnaz Soleimani, Ehsan Nazerfard, "Online Human Activity Recognition Employing Hierarchical Hidden Markov Models", Journal of Ambient Intelligence and Humanized Computing, June 2019
Vol. 11,
Num. 1,
Page 1-12,
June 2019,
7
Ehsan Nazerfard, "Temporal Features and Relations Discovery of Activities from Sensor Data", Journal of Ambient Intelligence and Humanized Computing, May 2018
Vol. 10,
Num. 1,
Page 1-15,
May 2018,
Conference Papers
Portal Records
1
Maryam Smaeili, Ehsan Nazerfard, "Routes Analysis and Dependency Detection Based on Traffic Volume: A Deep Learning Approach ", Artificial Intelligence and Smart Vehicles, May 2023
2
Masoud Malek, Mostafa Haghirchehreghani, Ehsan Nazerfard, Morteza Haghir Chehreghani, "Shallow Node Representation Learning using Centrality Indices ", 2021 IEEE International Conference on Big Data (IEEE BigData 2021), December 2021
3
Ali Risheh, Seyed Amirmohammad Jalili Shani, Ehsan Nazerfard, "Smart Irrigation IoT Solution using Transfer Learning for Neural Networks ", 10th International Conference on Computer and Knowledge Engineering, October 2020
4
Rasool Panahi, Nima Sedghiye, Ehsan Nazerfard, "A novel data cleaning method for learning in imbalanced datasets based on k-nearest neighbors ", 10th International Conference on Computer and Knowledge Engineering, October 2020
5
Yoosof Mashayekhi, Ehsan Nazerfard, Alireza Ranjbar, Samira Shirzadeh, "The MinMax Fuzzy C-Means ", 5th International Conference on Knowledge-Based Engineering and Innovation, February 2019
6
Parviz Asghari, Ehsan Nazerfard, "Activity Recognition using Hierarchical Hidden Markov Models on Streaming Sensor Data ", The 9th International Symposium on Telecommunications, December 2018
7
Masoomeh Rahimi Ghazikalayeh, Asghar Zarei, Ehsan Nazerfard, Mohammad Hassan Moradi, "Ensemble Methods Combination for Motor Imagery Tasks in Brain Computer Interface ", International Iranian Conference on Biomedical Engineering-ICBME, November 2016
Taught Courses
#
Course title
Description
Headlines
Date
1
Data Mining
Data mining is a practice of data processing and applying algorithms on the data available from domain to solve domain related problems. Data mining involves six common classes of tasks: • Anomaly detection (outlier/change/deviation detection) –
Spring 2024
2
(Applied Machine Learning)
Today, machine learning is widely used in various fields of science and engineering. The purpose of this course is to acquaint students of different engineering fields with machine learning in a practical way. In this course, different algorithms tha
Spring 2024
3
(Machine Learning)
The objective of Machine Learning is to study algorithms capable of learning from past experiences and data
Fall 2023
4
Applied Linear Algebra
The course consists of the topics of linear algebra and its applications and optimization that are extensively used in different fields of computer engineering. The course contains topics of linear equations, matrices, eigenvalues and eigenvectors, v
Fall 2023
5
Data Mining
Data mining is a practice of data processing and applying algorithms on the data available from domain to solve domain related problems. Data mining involves six common classes of tasks: • Anomaly detection (outlier/change/deviation detection) –
Spring 2023
6
(Applied Machine Learning)
Today, machine learning is widely used in various fields of science and engineering. The purpose of this course is to acquaint students of different engineering fields with machine learning in a practical way. In this course, different algorithms tha
Spring 2023
7
Applied Linear Algebra
The course consists of the topics of linear algebra and its applications and optimization that are extensively used in different fields of computer engineering. The course contains topics of linear equations, matrices, eigenvalues and eigenvectors, v
Fall 2022
8
(Machine Learning)
The objective of Machine Learning is to study algorithms capable of learning from past experiences and data
Fall 2022