Morteza Zihayat

Morteza Zihayat

Ryerson University

H-index: 18

North America-Canada

About Morteza Zihayat

Morteza Zihayat, With an exceptional h-index of 18 and a recent h-index of 16 (since 2020), a distinguished researcher at Ryerson University, specializes in the field of Applied Machine Learning, Information Retrieval.

His recent articles reflect a diverse array of research interests and contributions to the field:

Understanding and mitigating gender bias in information retrieval systems

EAGER: Explainable question answering using knowledge graphs

Chapter Enhancing Disaster Resilience Studies: Leveraging Linked Data and Natural Language Processing for Consistent Open-Ended Interviews

Embedding-based team formation for community question answering

A SYSTEMATIC REVIEW OF COMPUTATIONAL METHODS IN AND RESEARCH TAXONOMY OF HOMOPHILY IN INFORMATION SYSTEMS

De-biasing relevance judgements for fair ranking

Learning Query-Space Document Representations for High-Recall Retrieval

Don’t Raise Your Voice, Improve Your Argument: Learning to Retrieve Convincing Arguments

Morteza Zihayat Information

University

Position

Assistant Professor at

Citations(all)

1145

Citations(since 2020)

816

Cited By

563

hIndex(all)

18

hIndex(since 2020)

16

i10Index(all)

28

i10Index(since 2020)

25

Email

University Profile Page

Ryerson University

Google Scholar

View Google Scholar Profile

Morteza Zihayat Skills & Research Interests

Applied Machine Learning

Information Retrieval

Top articles of Morteza Zihayat

Title

Journal

Author(s)

Publication Date

Understanding and mitigating gender bias in information retrieval systems

Amin Bigdeli

Negar Arabzadeh

Shirin Seyedsalehi

Morteza Zihayat

Ebrahim Bagheri

2023/3/16

EAGER: Explainable question answering using knowledge graphs

Andrew Chai

Alireza Vezvaei

Lukasz Golab

Mehdi Kargar

Divesh Srivastava

...

2023/6/18

Chapter Enhancing Disaster Resilience Studies: Leveraging Linked Data and Natural Language Processing for Consistent Open-Ended Interviews

Milad Katebi

Morteza Zihayat Kermani

Mani Poshdar

Mostafa Babaeian Jelodar

2023

Embedding-based team formation for community question answering

Information Sciences

Roohollah Etemadi

Morteza Zihayat

Kuan Feng

Jason Adelman

Ebrahim Bagheri

2023/4/1

A SYSTEMATIC REVIEW OF COMPUTATIONAL METHODS IN AND RESEARCH TAXONOMY OF HOMOPHILY IN INFORMATION SYSTEMS

Yisheng LI

Ravi Vatrapu

Morteza Zihayat

2023

De-biasing relevance judgements for fair ranking

Amin Bigdeli

Negar Arabzadeh

Shirin Seyedsalehi

Bhaskar Mitra

Morteza Zihayat

...

2023/3/17

Learning Query-Space Document Representations for High-Recall Retrieval

Sara Salamat

Negar Arabzadeh

Fattane Zarrinkalam

Morteza Zihayat

Ebrahim Bagheri

2023/3/17

Don’t Raise Your Voice, Improve Your Argument: Learning to Retrieve Convincing Arguments

Sara Salamat

Negar Arabzadeh

Amin Bigdeli

Shirin Seyedsalehi

Morteza Zihayat

...

2023/3/17

A Light-Weight Strategy for Restraining Gender Biases in Neural Rankers

Amin Bigdeli

Negar Arabzadeh

Shirin Seyedsalehi

Morteza Zihayat

Ebrahim Bagheri

2022/4/5

Social influence-based contrast language analysis framework for clinical decision support systems

Decision Support Systems

Xingwei Yang

Alexandra Joukova

Anteneh Ayanso

Morteza Zihayat

2022/8/1

Fine-Tuning Dependencies with Parameters

Alireza Vezvaei

Lukasz Golab

Mehdi Kargar

Divesh Srivastava

Jaroslaw Szlichta

...

2022

Addressing gender-related performance disparities in neural rankers

Shirin Seyedsalehi

Amin Bigdeli

Negar Arabzadeh

Morteza Zihayat

Ebrahim Bagheri

2022/7/6

A Neural Approach to Forming Coherent Teams in Collaboration Networks

Radin Hamidi Rad

Shirin Seyedsalehi

Mehdi Kargar

Morteza Zihayat

Ebrahim Bagheri

2022

Gender fairness in information retrieval systems

Amin Bigdeli

Negar Arabzadeh

Shirin SeyedSalehi

Morteza Zihayat

Ebrahim Bagheri

2022/7/6

Bias-aware Fair Neural Ranking for Addressing Stereotypical Gender Biases

Shirin Seyedsalehi

Amin Bigdeli

Negar Arabzadeh

Bhaskar Mitra

Morteza Zihayat

...

2022

An automated mobile app labeling framework based on primary motivations for smartphone use

International Journal of Web Information Systems

Anteneh Ayanso

Mingshan Han

Morteza Zihayat

2022/2/2

The trends of sustainability in the luxury fashion industry: A Triple Bottom Line analysis

Journal of Global Fashion Marketing

Adrienne Mok

Hong Yu

Morteza Zihayat

2022/10/2

How Well We Know Wellness: Closing the Gap on Wellness Program Research in the Workplace

Academy of Management Proceedings

Steven Kavaratzis

Ellen Choi

Mehdi Kargar

Morteza Zihayat

2022

Feature-based question routing in community question answering platforms

Information Sciences

Soroosh Sorkhani

Roohollah Etemadi

Amin Bigdeli

Morteza Zihayat

Ebrahim Bagheri

2022/8/1

On the orthogonality of bias and utility in ad hoc retrieval

Amin Bigdeli

Negar Arabzadeh

Shirin Seyedsalehi

Morteza Zihayat

Ebrahim Bagheri

2021/7/11

See List of Professors in Morteza Zihayat University(Ryerson University)

Co-Authors

H-index: 64
Vincent S. Tseng, IEEE Fellow

Vincent S. Tseng, IEEE Fellow

National Chiao Tung University

H-index: 40
Aijun An

Aijun An

York University

H-index: 34
Ebrahim Bagheri

Ebrahim Bagheri

Ryerson University

H-index: 23
Azadeh Shakery

Azadeh Shakery

University of Tehran

H-index: 18
Mehdi Kargar

Mehdi Kargar

Ryerson University

H-index: 15
Rhonda McEwen

Rhonda McEwen

University of Toronto

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