REZA
NOURALIZADEH
GANJI
# rezang52@gmail.com
ï linkedin.com/in/reza-ganji
Ñ rezang.github.io
EDUCATION
Master of Artificial Intelligence 2020 – 2023
K. N. T. University of Technology Tehran, Iran
•
Notable Courses: Natural Language Processing, Neural Networks, Recommender Systems, Information Re-
trieval, Evolutionary Computation
•
Thesis: Sentiment Analysis of Short and Incomplete Text using Transformers and Attention Mechanism; under
supervision of Dr. Chitra Dadkhah `
•
Thesis Grade: (20/20 – 4/4)
•
GPA: (18.32/20 – 3.88/4)
Bachelor of Computer (Software) Engineering 2017 – 2020
Shomal University Amol, Iran
•
Notable Courses: Machine Learning, Artificial Intelligence, Algorithm Design, Data Structures, Formal Lan-
guages and Automata Theory, Engineering Probability and Statistics
•
Thesis: A machine learning-based model for spam detection on mobile phone short message service (SMS);
under supervision of Dr. Hamidreza Koohi `
•
Thesis Grade: (20/20 – 4/4)
•
GPA: (17.61/20 – 3.44/4)
RESEARCH INTERESTS
v Natural Language Processing v Deep Learning v Machine Learning
v Information Retrieval v Sentiment Analysis v Computational Linguistics
SKILLS
Programming: Skilled in Python, Familiar with: PHP, HTML, CSS
Deep Learning: Transformers, Attention mechanisms, Recurrent Neural Network (RNN), Long Short Term Memory
(LSTM), Gated Recurrent Unit (GRU), Auto Encoders
Machine Learning: Clustering, Decision Tree, Support Vector Machine (SVM), Multi-Layer Perceptron (MLP), En-
semble Models, Logistic Regression
AI Packages: Pytorch, Numpy, Pandas, Matplotlib, WandB, PLotly, Scikit-learn
Languages: Persian (Farsi), English
Industry Knowledges: Documentation, Presentation
WORK EXPERIENCE
SEO Specialist April 2018 – October 2019
Nooshika Corp. Babol, Iran
•
Producing new content for online publications that addresses the needs of a specified demographic.
•
Provide developers and content creators with technical advice on how to improve the performance of web
pages.
•
Keeping up to date with developments requires constant monitoring of the algorithms that are used by search
engines.
LICENSES & CERTIFICATIONS
Natural Language Processing Specialization 2 Coursera
Younes Bensouda Mourri, Łukasz Kaiser February 2022
•
In this four-course specialization, students learn how to construct applications for NLP activities including
question answering and sentiment analysis, and how to create translation, summarization, and chatbot tools.
•
Credential ID: LCKQELFDBRYW
Deep Learning Specialization 2 Coursera
Andrew NG, Kian Katanforoosh, Younes Bensouda Mourri December 2021
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The five courses in this specialization educate students how to design, develop, and optimise CNNs, RNNs,
LSTMs, and Transformers utilising Dropout, BatchNorm, Xavier/He initialization, and other approaches.
•
Credential ID: K8PGAYP9BUZC
PUBLICATIONS
Improving Sentiment Classification for Hotel Recommender System Published
Ganji, R.N., Dadkhah, C., Tohidi, N. 2023
•
Ganji, R.N., Dadkhah, C. and Tohidi, N., 2023. Improving Sentiment Classification for Hotel Recommender
System through Deep Learning and Data Balancing. Computaci
´
on y Sistemas, 27(3), pp.811-825.
PAMR: Persian Abstract Meaning Representation Corpus Published
Tohidi, N., Dadkhah, C., Ganji, R.N., Sadr, E.G., Elmi, H. 2024
•
Tohidi, N., Dadkhah, C., Ganji, R.N., Sadr, E.G. and Elmi, H., 2024. PAMR: Persian Abstract Meaning Rep-
resentation Corpus. ACM Transactions on Asian and Low-Resource Language Information Processing, 23(3),
pp.1-20.
Sentiment Analysis of Short and Incomplete Text Submitted
Ganji, R.N., Dadkhah, C. 2024
•
Ganji, R.N., Dadkhah, C. (2024). Sentiment Analysis of Short and Incomplete Text using Transformers and
Attention Mechanism.
SELECTED PROJECTS
Sentiment analysis on twitter tweets about COVID-19 vaccines Spring 2021
Ð Python
•
A model for doing sentiment analysis on tweets pertaining to COVID-19 vaccinations was formulated by com-
bining a bio-inspired Cuckoo Search (CS) optimisation algorithm with a K-means clustering method.
Search engine for Persian poems Fall 2020
Ð Python
•
Using the Whoosh Python package to create a search engine for Persian poems. The resulting search engine
would be able to index large quantities of structured texts and return relevant results based on the user’s query.
Spam detection with machine learning-based model Winter 2020
Ð Python
•
Building a model for determining if a mobile short message is a spam or not was the goal of this research project.
The constructed model uses the naive Bayes and bag of words algorithms, which both produce accurate and
efficient results.
CONFERENCES & PRESENTATIONS
Neural-based approaches for sentiment analysis February 2022
KNTU University Master’s Research Seminar
Applications of Monte Carlo sampling in data mining June 2021
KNTU University Data Mining’s Research Seminar
Bio-Inspired algorithms for sentiment analysis May 2021
KNTU University Evolutionary Computation’s Research Seminar
How do search engines use machine learning methods? May 2019
Shomal University Artificial Intelligence’s Research Seminar
