Ahmad Nikabadi
Assistant Professor
Department of Computer Engineering
Artificial Intelligent and Robotics
Department of Computer Engineering
Artificial Intelligent and Robotics
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Email:
nickabadi
aut.ac.ir
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h-index (Scopus):
6
Citations (Scopus):
749
Supervised MSc Theses
#
Thesis title
By
Date
1
video face recognition using feature aggregation
Zahra Talebi & Ahmad Nikabadi
March 2023
2
Weighting social media users in stock market prediction by sentiment analysis
Zeinab Khalvandi & Ahmad Nikabadi
March 2023
3
Face Attributes Editing using Generative Adversarial Networks
Najmeh Mohammadbagheri & Ahmad Nikabadi
March 2023
4
Stock market trend prediction based on financial and news indicators using deep neural networks
Morteza Janatdoust & Ahmad Nikabadi
February 2023
5
Face liveness detection for online authentication
Omid َAhmadieh & Ahmad Nikabadi
February 2023
6
Semi-Supervised Video Object Segmentation
Pooria Daneshvar Kakhaki & Ahmad Nikabadi
August 2022
7
improvement of robustness of automatic speaker recognition systems against spoofing attacks
Amir Mohammad Rostami & Ahmad Nikabadi
September 2021
8
An improved CRM for collective activity recognition
Fatemeh Sadat Tabatabaeifar & Ahmad Nikabadi
September 2021
9
visual inertial localization through deep learning
Ali Samadzadeh & Ahmad Nikabadi
April 2021
10
Speaker Diarization of Speech Files using deep Lerarning
Shahrzad Safaei & Ahmad Nikabadi
September 2020
11
A Learning - based approach to anomaly detection on data streams
Elahe Mohammadi Ahmadabadi & Ahmad Nikabadi
February 2020
12
Group Activity Recognition in Video using Probabilistic Models
Sina Mokhtarzadeh Azar & Ahmad Nikabadi
February 2019
13
Visual Question Answering
Nafiseh Izadyar & Ahmad Nikabadi
February 2019
14
Human Pose Estimation in Video by Probabilistic Graphical Models
Mina Ghadimi Atigh & Ahmad Nikabadi
February 2019
15
probabilistic imitation learning for robotic applications
Ali Javadi & Ahmad Nikabadi
July 2018
16
Describing the content of short videos using an encoder-decoder framework
Rezvan Nazari & Ahmad Nikabadi
February 2018
17
Semantic Segmentation of Urban Scenes using Probabilistic Models
Hamidreza Ramezani & Ahmad Nikabadi
February 2018
18
Aspect-based opinion mining using probabilistic models
Mohammadreza Molavi Hajiagha & Ahmad Nikabadi
January 2018
19
Human pose Estimation with Probabilistic Graphical Models
Marjan Moodi & Ahmad Nikabadi
July 2017
20
Tracking players with Partially Occluded Objects with Layered Graphical Models
Sarah Sheykhi & Ahmad Nikabadi
July 2017
21
Simultaneous image Classification And annotation with Topic Model
Seyed Navid Mohammadi Foumani & Ahmad Nikabadi
February 2017
22
Tracking moving objects in multi- camera environments with a probabilistic model
Esmat Rahmani & Ahmad Nikabadi
July 2016
23
Modeling cancer mutations with statistical methods
Arghavan Ansari Alamdari & Ahmad Nikabadi
July 2016
24
Human skin detection in color images using a probabilistic model
Mohamad Mohseni Ahuii & Ahmad Nikabadi
July 2016
25
Object tracking using probabilistic graphical models
Zahra Moradimanesh & Ahmad Nikabadi
February 2015
Books
#
Title
Author(s)
Publisher country
publication date
version
Portal Records
1
Swarm Intelligence Volume 1: Principles, current algorithms and methods
Ahmad Nikabadi, Reza Safabakhsh, Mohammad Mehdi Ebadzadeh
United Kingdom
July 2018
1
Journal Papers
Portal Records
1
Zeinab Ghasemi Naraghi, Ahmad Nikabadi, Reza Safabakhsh, "LogSE: An Uncertainty-Based Multi-Task Loss Function for Learning Two Regression Tasks", JOURNAL OF UNIVERSAL COMPUTER SCIENCE, February 2022
Vol. 28,
Num. 2,
Page 141-159,
February 2022,
2
Mitra Alidoosti, Alireza Nowroozi, Ahmad Nikabadi, "Business-Layer Session Puzzling Racer: Dynamic Security Testing against Session Puzzling Race Conditions in the Business Layer", The ISC International Journal of Information Security, January 2022
Vol. 14,
Num. 1,
Page 83-104,
January 2022,
3
Mitra Alidoosti, Alireza Nowroozi, Ahmad Nikabadi, "Semantic web Racer: Dynamic security testing of the web application against race condition in the business layer", EXPERT SYSTEMS WITH APPLICATIONS, January 2022
Vol. 195,
Num. 1,
Page 1-35,
January 2022,
4
Manijeh Talebi, Ahmad Nikabadi, Baris Majnounian, Ehsan Abdi, Reza Safabakhsh, Nafiseh Izadyar, Andrea Laschi, "Forest road planning to improve tourism accessibility: a comparison of different methods applied in a real case study", Geocarto International, January 2022
Vol. 1,
Num. 1,
Page 1-16,
January 2022,
5
Fatemeh Vakhshiteh, Ahmad Nikabadi, Raghavendra Ramachandra, "Adversarial Attacks Against Face Recognition: A Comprehensive Study", IEEE Access-OPEN, June 2021
Vol. 9,
Num. 1,
Page 92735-92756,
June 2021,
6
Shiva Rahimipour, Mehdi Ghatee, S.Mehdi Tashakkori Hashemi, Ahmad Nikabadi, "A hybrid of neuro-fuzzy inference system and hidden Markov Model for activity-based mobility modeling of cellphone users", COMPUTER COMMUNICATIONS, May 2021
Vol. 173,
Num. 1,
Page 79-94,
May 2021,
7
Marzi Heidari, Mehdi Ghatee, Ahmad Nikabadi, Arash Pourhasan Nezhad, "Diverse and Styled Image Captioning Using SVD-Based Mixture of Recurrent Experts", CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, July 2020
Vol. 0,
Num. 0,
Page 1-11,
July 2020,
8
Mitra Alidoosti, Alireza Nowroozi, Ahmad Nikabadi, "BLProM: A black-box approach for detecting business-layer processes in the web applications", Journal of Computing and Security, May 2020
Vol. 6,
Num. 2,
Page 65-80,
May 2020,
9
Mitra Alidoosti, Alireza Nowroozi, Ahmad Nikabadi, "Assessing of Web Application Resiliency against Flooding DoS Attacks in Business Layer", Journal of Electrical Engineering, February 2020
Vol. 49,
Num. 4,
Page 1757-1767,
February 2020,
10
Mitra Alidoosti, Alireza Nowroozi, Ahmad Nikabadi, "Evaluating the web?application resiliency to business?layer DoS attacks", ETRI JOURNAL, January 2020
Vol. 0,
Num. 0,
Page 1-13,
January 2020,
11
Seyed Navid Mohammadi Foumani, Ahmad Nikabadi, "A probabilistic topic model using deep visual word representation for simultaneous image classification and annotation", JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, February 2019
Vol. 59,
Num. 1,
Page 195-203,
February 2019,
12
Fatemeh Vakhshiteh, Farshad Almasganj, Ahmad Nikabadi, "LIP-READING VIA DEEP NEURAL NETWORKS USING HYBRID VISUAL FEATURES", Image Analysis & Stereology, May 2018
Vol. 37,
Num. 2,
Page 159-171,
May 2018,
13
Javadrafiei-Asl, Ahmad Nikabadi, "TSAKE: A topical and structural automatic keyphrase extractor", APPLIED SOFT COMPUTING, May 2017
Vol. 58,
Num. 0,
Page 620-630,
May 2017,
14
Seyed Navid Mohammadi Foumani, Ahmad Nikabadi, "Simultaneous image classification and annotation using probabilistic topic models and LLC visual word coding", The CSI Journal on Computer Science and Engineering(JCSE), March 2017
Vol. 14,
Num. 2,
Page 1-11,
March 2017,
Conference Papers
Portal Records
1
Mohammadreza Molavi Hajiagha, Ahmad Nikabadi, "Aspect based sentiment analysis using probabilistic topic models and sentiment knowledge of embedded words ", CSICC 2018, February 2018
2
Ahmad Nikabadi, Mohamad Hosein Danesh, Mahsa Hasheminejad, "Improving multi-camera human tracking using appearance features ", CSICC 2018, February 2018
3
Rezvan Nazari, Ahmad Nikabadi, "Describing the content of short videos using semantic features ", CSICC 2018, February 2018
4
Seyed Navid Mohammadi Foumani, Ahmad Nikabadi, "Image classification and annotation using probabilistic topic models with weighted inputs ", CSICC 2017, March 2017
5
Esmat Rahmani, Ahmad Nikabadi, "A novel activity graph for object tracking in multi-camera environments using probabilistic models ", 6th joint Conference on Artificial Intelligence & Robotics, April 2016
Taught Courses
#
Course title
Description
Headlines
Date
1
Information Retrieval
Introducing information retrieval systems and their essential components
Spring 2023
2
(Probabilistic Graphical Models)
introducing the probability basis, structure, learning and inference in probabilistic graphical models
Spring 2023
3
(Foundations of Statistical Learning)
This course provides an introduction to the probability and statistical models and methods used in statistical machine learning
Fall 2022
4
Information Retrieval
Introducing information retrieval systems and their essential components
Fall 2022
5
Special Topics (Probabilistic Graphical Models)
introducing the probabilty basis, structure, learning and inference in probabilistic graphical models
Spring 2022
6
Information Retrieval
Introducing information retrieval systems and their essential components
Spring 2022
7
Information Retrieval
Introducing information retrieval systems and their essential components
Fall 2021
8
Statistical Machine Learning
An introduction to the probabilty and statistical models and methods used in statistical machine learning
Fall 2021