I am Majid Zarharan, a master's graduate of the Iran University of Science and Technology in the field of Artificial Intelligence.
I am into programming and artificial intelligence. Routine and ordinary work does not appeal to me, and I am driven to be creative and innovative.
My research interest includes each AI aspect, from NLP and ML to multimodal and computer vision tasks. To accomplish my purposes,
I have been learning more and more every day. As a short-term objective, I want to work for a high-profile AI company and earn my Ph.D.
from a high-ranked university by conducting research and academic work of the highest quality. Afterward, one of my long-term goals is
to bestow my knowledge to others. Teaching others, in my view, provides an excellent opportunity to learn more!
My current position is that of NLP and Machine Learning Engineer and Researcher for a company called
Dadmatech specializing in Artificial Intelligence.
We implemented the first Persian chit chat model, and we are currently developing the first Persian fake news detection
system, as well as robot user detection on Instagram and Twitter. The demo of the first Persian fake news detection model is available here.
I enjoy team sports such as soccer, volleyball, ping-pong, and badminton, as well as individual sports such as bodybuilding, camping, and etc.
I enjoy learning new things and sharing what I know with others. In addition, you can also see my research interests here.
You can also find my CV here.
Publications
Majid Zarharan, Samane Ahangar, Fateme Sadat Rezvaninejad, Mahdi Lotfi Bidhendi, Shaghayegh Sadat Jalali
, M. Pilevar, B. Minaei and Sauleh Eetemadi.
"Persian Stance Classification Data Set."
TTO 2019.
Majid Zarharan, Mahsa Ghaderan, Amin Pourdabiri, Zahra Sayedi
,Behrouz Minaei-Bidgoli, Sauleh Eetemadi and Mohammad Taher Pilehvar.
"ParsFEVER: a Dataset for Farsi Fact Extraction and Verification."
*SEM 2021.
Persian Fake News Detection Using Stance Classification.
In Prep.
Automatic Construction of a Large-scale Dialogue Dataset Based On Movie Subtitles.
(In Prep)
Developing an Open-Domain Dialogue System, Considering Text and Voice of Movie Dialogues.
(In Prep)
Research Interests
I crave programming and AI. I'm not much into doing routine and ordinary work and I want to always be different and practical with creativity and innovation.
I have always wanted to carve a niche for myself in artificial intelligence (e.g. present my own novel ML or DNN models). Besides, I have always wanted to apply my knowledge to solve real world-problems and impact society for making the world a better place to live and this is the reason which I chose fake news detection as my dissertation.
While I am interested in every aspect of artificial intelligence, from natural language processing to multimodal and computer vision,
some of my favorite topics include Lifelong Machine Learning, Few-shot Learning, and Knowledge Distillation. Further,
I am interested in working on low-resource languages for different NLP tasks.
In general, my research interests include:
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Natural Language Processing
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Deep Learning
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Machine Learning
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Transfer Learning
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Multimodal AI
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Fake News Detection and Fact-checking
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Visual Question Answering
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Question Answering
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Open Domain Chatbot
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Computer Vision
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