About
I am a PhD Researcher specializing in Natural Language Processing and Information Retrieval, currently affiliated with the Data Science Group at the University of Innsbruck. I earned my B.Sc. and M.Sc. degrees in Software Engineering from the University of Kurdistan and the University of Isfahan in 2016 and 2019, respectively. During my studies, I was supervised by Dr. Parham Moradi and Prof. Mohammad Ali Nematbakhsh in the Faculty of Computer Engineering.
PhD Researcher
- Birthday: 23 June 1993
- Website: www.jmozafari.com
- City: Shiraz, Iran
- Age: 31
- Degree: Master
- Email: mozafari.jamshid@gmail.com
Publications
Awards
Certificates
Projects
Research Interests
Natural Language Processing
Natural language processing (NLP) is a subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data.
Hint Generation
Hint Generation aims to give subtle guidance that leads users toward the correct answer without explicitly revealing it, thereby promoting active learning and cognitive engagement.
Question Answering
Question answering (QA) is a computer science discipline within the fields of information retrieval and natural language processing (NLP), which is concerned with building systems that automatically answer questions posed by humans in a natural language.
Information Retrieval
Information retrieval (IR) is the process of obtaining information system resources that are relevant to an information need from a collection of those resources. Information retrieval is the science of searching for information in a document, searching for documents themselves, and also searching for the metadata that describes data, and for databases of texts, images or sounds.
Machine Reading Comprehension
MRC scans documents and extracts meaning from the text, just like a human reader. You can ask MRC questions about a document and it will use different parts of the content until an answer is formed.
Information Extraction
Information extraction (IE) is the task of automatically extracting structured information from unstructured and/or semi-structured machine-readable documents and other electronically represented sources.
Skills
Deep Learning and Neural Networks
Natural Language Processing
Machine Learning Libraries
Programming Languages
Miscellaneous
Operating Systems
Resume
Research
PhD Researcher
March 2023 - Present
Administrator: Prof. Adam Jatowt
PhD Researcher, Data Science Group, University of Innsbruck
Our goal is to pioneer a new field focused on generating hints rather than providing final answers. This approach encourages users to think critically and reason independently, reducing reliance on large language models (LLMs). Additionally, we aim to introduce innovative evaluation metrics, frameworks, datasets, and methods to support and advance this emerging field.
Research Assistant
Jul 2020 - Jan 2023
Administrator: Prof. Mohammad Ali Nematbakhsh
Research Assistant, BigDATA lab, University of Isfahan
The aim of the Porseman project is to develop an open-domain QA system for the Persian language.
Jul 2019 - Jun 2020
Advisor: Dr. Afsaneh Fatemi
Research Assistant, BigDATA lab, University of Isfahan
We are performing research on the QA systems especially the Answer Selection component using BERT models.
Education
Ph.D. of Computer Science
2023 - 2027
Supervisor: Prof. Adam Jatowt
Data Science Group, University of Innsbruck, Innsbruck, Austria
- Thesis: “Automatic Hint Generation for Questions”
M.Sc. of Software Engineering
2016 - 2019
Supervisor: Prof. Mohammad Ali Nematbakhsh Advisor: Dr. Afsaneh Fatemi
BigDATA Lab, University of Isfahan, Isfahan, Iran
- Thesis: “Factoid Question Answering for Named Entity”: 4.0 / 4.0
- Overall GPA: 4.0 / 4.0
- 3rd Student Award in Computer Engineering
B.Sc. of Software Engineering
2011 - 2016
Supervisor: Dr. Parham Moradi
Department of Computer Engineering, University of Kurdistan, Sanandaj, Iran
- Thesis: “Online Evolution and Training System for Data Structure and Algorithms”: 4.0 / 4.0
- Overall GPA: 3.5 / 4.0
- 3rd Student Award in Computer Engineering
Teaching Experience
University of Innsbruck
Sep 2024 - Feb 2025
Teacher: Prof. Jan Beutel Introduction to Networking and Internet, Proseminar Teacher
March 2024 - Jun 2024
Teacher: Prof. Justus Piater Data Structures and Algorithms, Proseminar Teacher
Sep 2023 - Feb 2024
Teacher: Prof. Jan Beutel Introduction to Networking and Internet, Proseminar Teacher
University of Isfahan
Sep 2017 - Feb 2018
Teacher: Dr. Fatemeh Raji Data Structures and Algorithms, Teacher Assistant
Sep 2016 - Jun 2017
Teacher: Dr. Ahmad Zaeri Advanced programming in JAVA, Teacher Assistant
University of Kurdistan
Sep 2014 - Jun 2015
Teacher: Dr. Parham Moradi Data Structures and Algorithms, Teacher Assistant
Sep 2013 - Jun 2014
Teacher: Dr. Amanj Khoramian Advanced programming in JAVA, Teacher Assistant
Sep 2013 - Jun 2014
Teacher: Dr. Amanj Khoramian Data Structures and Algorithms, Teacher Assistant
Sep 2012 - Jun 2013
Teacher: Dr. Amanj Khoramian Advanced programming in JAVA, Teacher Assistant
Professional Experience
University of Kurdistan
Sep 2012 - Jun 2014
Position: Chairman and Primary member ACM/ICPC Programming Contest
Sep 2012 - Jun 2014
Position: Chairman and Primary member ACM Association
Sep 2012 - Jun 2014
Position: Chairman and Primary member Computer Engineering Association
Publications
- All
- Book
- Journal
- Conference
DynRank: Improving Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification
Abdelrahman Abdallah, Jamshid Mozafari, Bhawna Piryani, Mohammed M Abdelgwad, Adam Jatowt
International Conference on Computational Linguistics: COLING 2024, ACL
DOI: 10.48550/arXiv.2412.00600
Output of: DataScience Lab
Exploring Hint Generation Approaches in Open-Domain Question Answering
Jamshid Mozafari, Abdelrahman Abdallah, Bhawna Piryani, Adam Jatowt
Findings of the Association for Computational Linguistics: EMNLP 2024, ACM
DOI: 10.18653/v1/2024.findings-emnlp.546
Output of: DataScience Lab
Detecting Temporal Ambiguity in Questions
Bhawna Piryani, Jamshid Mozafari*, Abdelrahman Abdallah*, Adam Jatowt
Findings of the Association for Computational Linguistics: EMNLP 2024, ACM
DOI: 10.18653/v1/2024.findings-emnlp.562
Output of: DataScience Lab
TriviaHG: A Dataset for Automatic Hint Generation from Factoid Questions
Jamshid Mozafari, Anubhav Jangra, Adam Jatowt
International ACM SIGIR Conference on Research and Development in Information Retrieval 2024, ACM
DOI: 10.1145/3626772.3657855
Output of: DataScience Lab
ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper Pages
Bhawna Piryani, Jamshid Mozafari, Adam Jatowt
International ACM SIGIR Conference on Research and Development in Information Retrieval 2024, ACM
DOI: 10.1145/3626772.3657891
Output of: DataScience Lab
Navigating the Landscape of Hint Generation Research: From the Past to the Future
Anubhav Jangra, Jamshid Mozafari, Adam Jatowt, Smaranda Muresan
Submitted to TACL
DOI: 10.48550/arXiv.2404.04728
Output of: DataScience Lab
FarsNewsQA: A Deep Learning-based Question Answering System for the Persian News Articles
Arefeh Kazemi, Zahra Zojaji, Mahdi Malverdi, Jamshid Mozafari, Fatemeh Ebrahimi, Negin Abadani, Mohammad Reza Varasteh, Mohammad Ali Nematbakhsh
Information Retrieval Journal 
DOI: 10.1007/s10791-023-09417-2
Output of: BigDATA Lab
PerAnSel: A Novel Deep Neural Network-based System for Persian Question Answering
Jamshid Mozafari, Arefeh Kazemi, Parham Moradi, Mohammad Ali Nematbakhsh
Computational Intelligence and Neuroscience 
DOI: 10.1155/2022/3661286
Output of: BigDATA Lab
PersianQuAD: The Native Question Answering Dataset for the Persian Language
Arefeh Kazemi, Jamshid Mozafari, Mohammad Ali Nematbakhsh
IEEE Access 
DOI: 10.1109/ACCESS.2022.3157289
Output of: BigDATA Lab
ParSQuAD: Persian Question Answering Dataset based on Machine Translation of SQuAD 2.0
Negin Abadani, Jamshid Mozafari, Afsaneh Fatemi, Mohammad Ali Nematbakhsh, Arefeh Kazemi
International Journal on Web Research
DOI: 10.22133/ijwr.2021.293313.1101
Output of: BigDATA Lab
BAS: An Answer Selection Method Using BERT Language Model
Jamshid Mozafari, Afsaneh Fatemi, Mohammad Ali Nematbaksh
Journal of Computing and Security
DOI: 10.22108/jcs.2021.128002.1066
Output of: BigDATA Lab
ParSQuAD: Machine Translated SQuAD dataset for Persian Question Answering
Negin Abadani, Jamshid Mozafari, Afsaneh Fatemi, Mohammad Ali Nematbakhsh, Arefeh Kazemi
International Conference on Web Research 2021, IEEE
DOI: 10.1109/ICWR51868.2021.9443126
Output of: BigDATA Lab
A Method For Answer Selection Using DistilBERT And Important Words
Jamshid Mozafari, Afsaneh Fatemi, Parham Moradi
International Conference on Web Research 2020, IEEE
DOI: 10.1109/ICWR49608.2020.9122302
Output of: BigDATA Lab
Attention-based Pairwise Multi-Perspective Convolutional Neural Network for Answer Selection in Question Answering
Jamshid Mozafari, Mohammad Ali Nematbaksh, Afsaneh Fatemi
ArXiv
DOI: 10.48550/arXiv.1909.01059
Output of: M.Sc Thesis
Improved Answer Selection for Factoid Questions
Jamshid Mozafari, Mohammad Ali Nematbaksh, Afsaneh Fatemi
International Conference on Computer and Knowledge Engineering 2019, IEEE
DOI: 10.1109/ICCKE48569.2019.8965131
Output of: M.Sc Thesis
Fundamentals of Data Structure (with ACM Problems)
Fatemeh Raji, Jamshid Mozafari
Iranian Student Book Agency
ISBN: 978-600-318-238-7
Awards
Certificates
Projects
Porseman
In this project, we are working on a QA system and developing it for the Persian language. We started working on this system from scratch.
KOJ (Kurdistan Online Judge)
It's an online (ASP.NET) and offline (JAVA) judger for ACM/ICPC problems. It has been implemented for judging Design and Analysis of Algorithms and Data Structure practices and has been used in the University Of Kurdistan for these courses.
Persia Search Engine
It is a search engine named Persia that is written in Java with Apache Lucene library. It contains some interesting customization settings; for example, it fetches random documents from Wikipedia and indexes them. You can also switch searching language between Persian and English.
Voice Chat room
It's a Chat room that is written in Java. It contains some interesting features. For example, you can have voice chat and text chat. You can also block every member of the chat room. There are many emojis in this chat room. I've used Socket programming in this project.
Graph Analysis on Tarafdari.com
It's an implementation for the "Analysis of relationship between members of Tarafdari.com" publication. I've used NetworkX and BeautifulSoup library in this project.
References
Jamshid is a diligent and disciplined individual and has shown to me a great interest in perusing higher education with qualities that have made his motivated and determined for bypassing impediments to achieve great places ...
Mohammad Ali Nematbakhsh
Professor, University of Isfahan
I was totally aware of Jamshid’s entrepreneurship mindset and his solid background in programming and computer science, so I asked him to join my company. He is very personable and easy to work with great team-working skills ...
Parham Moradi
Associate Professor, University of RMIT
Jamshid is a deep thinker who reads a lot and takes any opportunity to learn something. He has a curious and investigative personality; I believe that he has the strongest motivation and potential to be an outstanding innovative ...
Afsaneh Fatemi
Associate Professor, University of Isfahan
In my view, Jamshid is a well-educated, precise, persistent, and hard-working person in solving practical problems. On the personal side, he is a very polite and brilliant person with great communication skills and pleasant behavior ...
Fatemeh Raji
Senior Lecturer, University of De Montfort
Jamshid has an outstanding academic profile. He has great potential in research. Serving as my research assistant, he was able to successfully complete all research tasks that I assigned to him. Jamshid has excellent knowledge of deep learning ...
Arefeh Kazemi
Research Fellow, University College Dublin
Contact
Location:
Innsbruck, Tyrol State, Austria
Email:
jamshid.mozafari@uibk.ac.at
mozafari.jamshid@gmail.com