Rojiar Pir mohammadiani

Education

PhD. in Information Technology-Information system , Khajeh Nasir Toosi Univercity Of Technology , Iran (2012 - 2017)
Thesis title: A Model for Evaluating Social Media Users- Product Review Web Sites

Courses

Bachelor Of Science

Computer Lab

information retrieval and web search

Data Mining

Social network analysis (SNA)

Managment Information System

Master Of Science

Machine Learning

َAdvanced Data Mining

.row3_default .coursesList .courseAcademicLevelContent { opacity: 1; position: static; height: initial; } .row3_default .coursesList .courseWrapper .courseAcademicLevelTitle { visibility: visible; font-family: Arial; font-size: 1.3rem; transition: background-color .5s, color .5s; display: block; float: left; color: rgb(102, 102, 102); background-color: rgb(255, 255, 255); direction: ltr; text-align: left; padding: .5% 2%; cursor: pointer; border-radius: 5%; margin-top: 1%; }

Research activities

Journal Papers

Unsupervised feature selection using orthogonal encoder-decoder factorization Maryam Mozaffari, Seyed Amjad Seyedi, Rojiar Pir mohammadiani, Fardin Akhlaghian Tab (2024)

Social Media Value Creation Practices and Interactivity of Electronic Word of Mouth System Rojiar Pir mohammadiani, Hossein AbbasiMehr, zaki malik (2023)

A method based on k-shell decomposition to identify influential nodes in complex networks bakhtyar rafigh, Rojiar Pir mohammadiani, Amir sheikh ahmedi, Bryar Rafq Hamakarim, Mehri Bahrami (2023)

Optimal stochastic self-scheduling of a water-energy virtual power plant considering data clustering and multiple storage systems Navid Rezaei, Yasin Pezhmani, Rojiar Pir mohammadiani (2023)

A novel method of spectral clustering in attributed networks by constructing parameter-free affinity matrix Kamal Berahmand, Mehrnoosh Mahmoudi, Azadeh Faroughi, Rojiar Pir mohammadiani (2022)

Spectral clustering on protein-protein interaction networks via constructing affinity matrix using attributed graph embedding Kamal Berahmand, Elahe Nasiri, Rojiar Pir mohammadiani, yuefeng Li (2021)

Using AHP to complex network analysis tools selection Rojiar Pir mohammadiani (2019)

The moderating effect of relationships’ strength on the users’ activity - users’ influence Rojiar Pir mohammadiani (2017)

BEHAVIORAL SCORING MODEL USING DATA MINING APPROACH AND ANALYTIC HIERARCHY PROCESS shahriar mohammadi, Rojiar Pir mohammadiani (2015)

Conference Papers

unsupervised feature selection methods based on structural particularity of minimum spanning tree Rojiar Pir mohammadiani, Maryam Mozaffari, Soma Soleimanzadeh (2022)

Inferring the Relationship between Users' Personality and their image on Flicker using deep learning and clustering Rojiar Pir mohammadiani, Hamid Sadeghi (2020)

Using the Analytical Hierarchical Process to the Selection of Complex Network Analysis Tools Rojiar Pir mohammadiani, rezvan salimi (2019)

The effects of interactivity of electronic word of mouth systems on value creation practices on social media zaki malik, Rojiar Pir mohammadiani (2019)

Cloud Based Mobile Services in Academic Environment Rojiar Pir mohammadiani, Ismail Ataie, Tania Taami (2017)

Sentence Retrieval with Sentiment-specific Topical Anchoring for Review Summarization Jiaxing Tan, Alexander Kotov, Rojiar Pir mohammadiani, Yumei Huo (2017)

Speech

Community detection in complex networks Rojiar Pir mohammadiani (2022)

Theses

Enhancing Irrigation Systems Using a Machine Learning Technique in Edge-enabled IoT Environments Zana Ismael Khdhir, Rojiar Pir mohammadiani, Sadoon Azizi (2024)

پیش بینی پیوند با استفاده از شبیه ترین نود ها در جوامع مشترک در شبکه های پیچیده Elmira Jamalpour, Rojiar Pir mohammadiani (2022)

A k-shell decomposition-based method for identification of influential nodes in complex networks bakhtyar rafigh, Rojiar Pir mohammadiani (2022)

.row3_default .researchActivities .researchTypeContent { opacity: 1; position: static; height: initial; } .row3_default .researchActivities .researchActivitiesWrapper .researchTypeTitle { visibility: visible; font-family: Arial; font-size: 1.3rem; transition: background-color .5s, color .5s; display: block; float: left; color: rgb(102, 102, 102); background-color: rgb(255, 255, 255); direction: ltr; text-align: left; padding: .5% 2%; cursor: pointer; border-radius: 5%; margin-top: 1%; } .row3_default .researchActivities .researchTypeContent table .Gv-Empty { text-align: left; direction: ltr; }

Research interests

information technology
ُsoftware
Data Mining
Social network analysis (SNA)