Personal information

Social Robot, Affective Computing, Human-Robot Interaction

Activities

Employment (1)

INESC-ID: Lisbon, PT

2015-06 to present | Researcher
Employment
Source: Self-asserted source
Mojgan Hashemian

Education and qualifications (3)

University of Lisbon: Lisbon, PT

2016-02 to 2021-06 | PhD (Computer Science and Engineering)
Education
Source: Self-asserted source
Mojgan Hashemian

University of Tehran: Tehran, Tehran, IR

2011 to 2014 | M.Sc. in Artificial Intelligence and Robotics (Electrical and Computer Engineering)
Education
Source: Self-asserted source
Mojgan Hashemian

Iran University of Science and Technology: Tehran, Tehran, IR

2005 to 2010 | B.Sc. (Computer Engineering)
Education
Source: Self-asserted source
Mojgan Hashemian

Works (12)

A Review of the Applications of Explainable Machine Learning for Lithium–Ion Batteries: From Production to State and Performance Estimation

Energies
2023-09 | Journal article | Author
Contributors: Mona Faraji-Niri; Koorosh Aslansefat; Sajedeh Haghi; Mojgan Hashemian; Rüdiger Daub; James Marco
Source: check_circle
Multidisciplinary Digital Publishing Institute

Persuasive social robots using reward/coercion strategies

Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
2020 | Conference paper
Source: Self-asserted source
Mojgan Hashemian

The Application of Social Power in Persuasive Social Robots

Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
2020 | Conference paper
Source: Self-asserted source
Mojgan Hashemian

Persuasive Social Robots using Social Power Dynamics

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems
2019 | Conference paper
Source: Self-asserted source
Mojgan Hashemian

Social Power in Human-Robot Interaction: Towards More Persuasive Robots

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems
2019 | Conference paper
Source: Self-asserted source
Mojgan Hashemian

Enhancing Social Believability of Virtual Agents using Social Power Dynamics

Proceedings of the 18th International Conference on Intelligent Virtual Agents
2018 | Conference paper
Source: Self-asserted source
Mojgan Hashemian

FIDES: How Emotions and Small Talks May Influence Trust in an Embodied vs. Non-embodied Robot

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems
2017 | Conference paper
Source: Self-asserted source
Mojgan Hashemian

How facial expressions and small talk may influence trust in a robot

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2016 | Book
EID:

2-s2.0-84992522020

Contributors: Paradeda, R.B.; Hashemian, M.; Rodrigues, R.A.; Paiva, A.
Source: Self-asserted source
Mojgan Hashemian via Scopus - Elsevier

“How is his/her mood”: A question that a companion robot may be able to answer

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2016 | Book
EID:

2-s2.0-84992494597

Contributors: Hashemian, M.; Moradi, H.; Mirian, M.S.
Source: Self-asserted source
Mojgan Hashemian via Scopus - Elsevier

Is the mood really in the eye of the beholder?

Communications in Computer and Information Science
2015 | Book
EID:

2-s2.0-84951821560

Contributors: Hashemian, M.; Moradi, H.; Mirian, M.S.; Tehrani-Doost, M.; Ward, R.K.
Source: Self-asserted source
Mojgan Hashemian via Scopus - Elsevier

Determining Mood using Emotional Features

2014 7th International Symposium on Telecommunications, IST 2014
2014 | Conference paper
EID:

2-s2.0-84931080529

Contributors: Hashemian, M.; Nikoukaran, A.; Moradi, H.; Mirian, M.S.; Tehrani-Doost, M.
Source: Self-asserted source
Mojgan Hashemian via Scopus - Elsevier

Determining mood via emotions observed in face by induction

2014 2nd RSI/ISM International Conference on Robotics and Mechatronics, ICRoM 2014
2014 | Conference paper
EID:

2-s2.0-84922619388

Contributors: Hashemian, M.; Moradi, H.; Mirian, M.S.; Tehrani-Doost, M.
Source: Self-asserted source
Mojgan Hashemian via Scopus - Elsevier