Hadi Sadoghi Yazdi

Professor of Electrical and
Computer Engineering

Graduate Projects in Artificial Intelligence : Pattern Recognition Lab

When visiting this page, you can find theses and dissertations categorized by your interests in Artificial Intelligence and Machine Learning. The projects are organized across diverse domains, including Financial AI, Image Processing, Computer Vision, Adaptive Learning, and Intelligent Networks.

Whether you’re looking for work on time series forecasting, market behavior modeling, indoor positioning, or data classification and clustering, you can easily find projects that match your academic interests. The list is structured to help you quickly identify both the research topic and the academic level (M.Sc. or Ph.D.) of each project at a glance. You can view articles extracted from the students’ work at: Hadi Sadoghi Yazdi Google Scholar

Student Research Projects

This document contains a categorized list of student theses and dissertations, organized by academic level and then by research topic.

Ph.D. Dissertations

Financial AI & Time Series

  • Financial time series forecasting through experience-based adaptive learning. by Ali Mehrizi (2024-09-19)
  • Efficient portfolio selection using adaptive Markowitz space. by Vahid Golmah (2024-09-19)
  • Interactive and imitative dynamic modeling for financial time series forecasting using stochastic differential equations. by Hamidreza Mortezapour (2023-09-20)
  • Financial time series forecasting using deep state models based on stochastic differential equation. by Elaheh Soleymanpour (2023-05-15)

Adaptive Learning & Networks

  • Bias modification in learning to rank systems based on the distributions of multi-point views. by Sanaz Keshvari (2023-12-27)
  • Upgrading single/multi-task distributed adaptive networks utilizing the optimizer’s curse concept. by Atieh Gharib (2023-02-26)
  • Distributed learning in adaptive networks based on diversity. by Alireza Naeimi sadigh (2021-01-26)
  • Active learning in input and parameter space. by Hossein Ghafarian (2019-07-20)
  • Synergistic learning over adaptive networks. by Soheila Ashkezari toussi (2018-12-10)

Image & Vision Processing

  • HVS-based JND adapted robust image watermarking resilient to learnt attacks. by Balsam Abughirbn (2025-02-05)
  • Detection and recognition the authenticity of similar regions in the image based on multi-scale approach. by Manaf Alhaidery (2022-09-22)
  • Bayesian filter based on the wisdom of crowds in the presence of biased annotation. by Behzad Bakhtiari (2018-11-03)

Classification & Robust Learning

  • Robust classification models with high generalization and low training time for uncertain data. by Yahya Forghani (2014-06-25)
  • Scalable multiclass classifier model based on data complexity. by Hamid reza Ghaffary (2012-03-15)

M.Sc. Theses

Indoor Positioning & Localization

  • Indoor positioning based on the fusion of Wi-Fi fingerprinting and visual information with optimized keyframe selection. by Farkhondeh Arzi (2025-02-15)
  • Indoor localization through the fusion of Wi-Fi fingerprinting and inertial sensors. by Javad Saghi (2024-09-18)
  • Indoor positioning using Wi-Fi fingerprinting. by Mohammad amin Naji meidani (2024-09-16)

Time Series & Financial Forecasting

  • Presenting a hybrid model for predicting urban traffic based on the theory of three phases of traffic and graph neural network. by Seyed majid Hosseini (2024-09-17)
  • Layer aware autoencoder for stock market sequence prediction. by Razieh Amini (2024-02-18)
  • Time series forecasting using deep learning and prior knowledge. by Seyed hossein Nazm bojnordi (2024-02-17)
  • Time series prediction using Kalman filter model with bias modification. by Farzan Saeedi (2023-09-21)
  • Leveraging volume profile to refine stochastic differential equation parameters. by Fatemeh Shamohammadi (2023-09-21)
  • An investigation on the effect of information over probability density function sets of stock returns. by Ali Forouzan (2023-02-26)
  • Portfolio management based on good behavior of stock. by Ahmad Ghorbanipour (2022-09-22)
  • Adaptive filter for interval time series data with uncertainty. by Misaghsadat Hejazi (2021-02-18)
  • Short-term traffic speed prediction using an interval type II fuzzy radial basis function neural network with an extended Kalman filter smoother and fuzzy controller. by Fatemeh Anbari (2017-09-16)
  • Deductive Kalman filter; used in additive abrupt change detection. by Seyedmohammadali Majidianvari (2013-03-10)

Image Processing & Computer Vision

  • Anomaly detection using a one-class classifier based on implicit convex hull and ensemble learning. by Yousof Ghalenoei (2024-09-18)
  • An attention based multi-column convolutional neural network for crowd counting. by Mahdi Hashemi (2023-09-10)
  • Determining the decision function of classification problems using boundary data detection and reduction for large datasets. by Amin Akhlaghi (2022-09-22)
  • Improving anomaly detection based on divergence criteria. by Fatemehsadat Torabi (2021-10-20)
  • Improving the function of facial expression recognition using the canonical Kalman filter equation training with the help of DLMS filter. by Vajiheh Salehinezhad (2021-03-09)
  • Labeling facial images for face recognition applications in real-world environments. by Nasim Hamidipour (2018-09-29)
  • Automated spatial-temporal region of interest detection. by Mahnaz Razavi (2018-09-22)
  • Driver’s abnormal behavior detection using deep neural network on single board computer. by Seyedmohammad Hosseini (2018-09-17)
  • Design and construction of an intelligent system detection violations of stationary vehicle with moving camera. by Marzieh Mohammadi (2018-09-17)
  • Image annotation with combination of concept-dependent encoder-decoder models. by Milad Bahrami (2017-09-21)
  • Automatic image annotation using hierarchical alternating least squares. by Fadhel mohammed jawad Al - ibadi (2017-09-11)
  • Automatic image annotation using block principal pivoting method. by Hazim mohammad ali issa Al-rikabi (2017-09-11)

Classification & Clustering

  • Adaptive kernel density estimation based on GMM model and clustering. by Mohammad sadegh Ahmadi (2022-09-22)
  • Visualization of trading volume data based on clustering. by Javad Jafari (2022-09-22)
  • Robust SVDD classifier using rescaled hinge loss. by Rasool Makassees (2019-01-09)
  • Locally-linear crowdsourced classification. by Mahla Esmaeily (2017-09-17)
  • Density-oriented Fisher classifier. by Mahboube Ghasempour (2014-09-22)
  • Ensemble one-class support vector data description. by Neshat Salehi (2012-10-01)
  • Constrained semi-supervised clustering in growing self organizing map. by Amin Allahyar (2012-06-17)
  • A gravitation based classification. by Shafigh Parsazad (2011-08-14)
  • C4.5 decision tree based on SVM cost function. by Nima Salehi moghaddami (2010-08-01)

Learning & Recommender Systems

  • Learning signals with robust distributed adaptive filter. by Mohmmadjafar Karimi bavani (2022-02-13)
  • Proposing a recommender system based on Bayesian clustering using side information. by Fatemeh Rashidi (2020-11-08)
  • Rescaled hinge on-line learning of similarity/distance criteria for outlier data resistant using rescaled hinge loss function. by Amer kareem Tuama (2019-12-22)
  • Robust kernel-based quantized entropy NMF method to improve hyperspectral unmixing. by Hadi Jamshidi kargar (2019-09-22)
  • Estimation of nonlinear systems with non-Gaussian noise, using unknown input filter. by Nasrin Soufi (2019-05-29)
  • Robust passive/aggressive learning based on re-scaled hinge loss. by Aqeel shakir radi Zinni (2018-09-16)
  • Probabilistic category-based collaborative filtering recommender system. by Hadi Kalamati (2018-09-13)
  • Robust metric learning via re-scaled hinge loss. by Ali salim Rasheed (2018-05-29)
  • Label denoising based on Bayesian aggregation. by Parsa Bagherzadeh (2017-05-10)
  • Expectation maximization based on particle filter. by Soraj Sadeghtabar (2016-09-21)
  • The least sum square error followed by prior knowledge. by Fariba Pakizehhajiyar (2015-12-14)
  • State estimation based on constraints learning. by Reza Izanloo (2015-01-29)
  • Compact incremental learning machine. by Mojtaba Nayyeri (2014-03-16)
  • Online semi-supervised music recommender. by Faraj Mansouri (2012-12-14)
  • Learning Bayesian structure for data streams. by Omid Keivani (2012-10-14)
  • Adaptive neuron based on kernel least mean square with constraint growth. by Zahra Khandan khademoreza (2012-08-06)
  • Measurement model estimation in particle filter using KLMS. by Hamideh Haeri (2012-07-15)

Miscellaneous

  • Approximation of distribution functions with Renyi divergence. by Farzaneh Namdar siuky (2018-09-12)
  • Interacting multiple model algorithm with combined estimation coefficient. by Reza Nourbakhsh (2017-09-21)
  • Written informal sentiment representation using fusion of similar word vectors for sentiment classification. by Fariba Yari (2017-09-16)
  • Sampling based on Renyi’s divergence applied to large data reduction. by Abolfazl Ramezanzadeh yazdi (2016-09-21)
  • Improvement of hyperspectral unmixing using ensemble learning. by Saeed Gholinejad (2016-09-21)
  • Target tracking using trajectory graph based particle filter. by Amin Hashemi (2015-09-22)
  • Sample weighting according to geometrical structure based on sparse representation. by Ehsan Shams (2015-09-21)
  • Identifying individuals’ personality through their voice. by Elnaz Mohammadi (2014-09-22)
  • Selection and combination of eigenvectors in transform space. by Soheila Ashkezari (2011-09-05)
  • Gravity centre oriented support vector data description. by Yonos Allahyari (2011-09-05)