I got my master's degree in Computer Software Engineering from Qazvin Azad University in 2018.
More info: I received my Bachelor’s degree in Computer Software Engineering in 2014.
Research Interests:
The primary focus of my research is on Recommender Systems.
As a developer, I have experience in Front-end Development and Python. Also, a good background in SEO.
Latest News
Happy to share my accepted paper entitled "Building Movie Recommender Systems Utilizing Poster's Visual Features: A Survey Study", The RSI 10th International Conference on Robotics and Mechatronics More info
Thanks to Chairs, Committee, Volunteers and all the team for running The Web Conf 2022
I had a chance to be a virtual SV this year.
Webconf is an excellent opportunity for everyone who wants to become aware of state-of-the-art researches and topics around the web.
Merci Beaucoup Lyon et France.
Happy to share my accepted paper entitled "Leveraging Deep Learning Techniques on Collaborative Filtering Recommender Systems" in the Journal of Applied Research on Industrial Engineering. More info
And yes, the 15th ACM Conference on Recommender Systems (RecSys) is done!
Amsterdam, Netherlands, 27th September-1st October 2021.
For me, it was full of unforgettable wonderful experiences, especially the chance of being with many kind and respectful experts.
Due to the pandemic, it was a hybrid conference, and I had a chance to be a virtual SV this year. Hope to be present for the next.
Education
Qazvin Azad University (QIAU) , Qazvin, Iran
Thesis: "A Novel Multipath Trust Propagation Algorithm for Recommender Systems"
Payame Noor University (PNU) , Alborz, Iran
Omide Iran High School , Alborz, Iran
Publications and Presentations
Journals
Ali Fallahi, Javad Mohammadzadeh, " Leveraging Deep Learning Techniques on Collaborative Filtering Recommender Systems ", in Journal of Applied Research on Industrial Engineering, 2021.
Ali Fallahi, Second author, Third author" A paper about leveraging recommender systems in requirement engineering ".
Ali Fallahi, Second author, Third author" A paper about gamified recommender systems ".
Ali Fallahi, Second author" A paper about using explicit and implicit trust and distrust values in recommender systems ".
Ali Fallahi, Second author" A paper about sematic-based recommender systems ".
Conferences
Ali Fallahi, Azam Bastanfard, Amineh Amini, Hadi Saboohi, " Building Movie Recommender Systems Utilizing Poster's Visual Features: A Survey Study ". The RSI 10th International Conference on Robotics and Mechatronics, Tehran, Iran, 14-16 November. 2022.
Ali Fallahi, Sasan H.Alizadeh, " An Ensemble Method For Enhancing Collaborative Filtering Recommender Systems by MLP Neural Network Based on Trust Propagation ", in Proc. of The 4th Conference Electrical and Computer Engineering Technology, Tehran, Iran, 29 May. 2019.
Ali Fallahi, "An Improved Recommender System Using Trust Propagation and Multi Layer Perceptron Neural Network, (Poster Presentation) ", in Proc. of 8th IPM International Conference on Fundamentals of Software Engineering (FSEN2019), Tehran, Iran, 1-3 May. 2019.
Ali Fallahi, Sasan H.Alizadeh, "Effect of Distrust Propagation to Enhance the Performance of Trust Based Recommender Systems", in Proc. of The 9th joint Conference on Artificial Intelligence & Robotics and the 2nd RoboCup Asia-Pacific International Symposium, Kish Island, Iran, Dec. 2018.
Researches
- Strategic Corporate Communication in the Digital Age
- Handbook of Research on Cross-Disciplinary Uses of Gamification in Organizations
I was a research assistant under the supervision of Dr Sasan Alizadeh. Our main effort concentrated on improving the accuracy of the recommender systems by using trust propagation techniques and also implicit distrust values.
I was a member of the research team and front-end developer in the Startup. 2017-2018
The main goal of Behpand is helping small online bussiness to provide (better) recommendations for their users based on machine learning techniques."
Located in: SYNTECH (Technology and Innovation Center) at Qazvin Azad University , Qazvin, Iran
Certificates
Neo4j Graph Academy, 2023
Neo4j Graph Academy, 2023
Neo4j Graph Academy, 2023
Neo4j Graph Academy, 2023
University Of Alberta, Online Course (coursera.org), 2022
Kaggle competitions, Online, 2021
Coursera, Online Course (deeplearning.ai, coursera.org), 2020
Coursera, Online Course (deeplearning.ai, coursera.org), 2020
Coursera, Online Course (deeplearning.ai, coursera.org), 2020
Coursera, Online Course (deeplearning.ai, coursera.org), 2020
Coursera, Online Course (deeplearning.ai, coursera.org), 2020
Coursera, Online Course (deeplearning.ai, coursera.org), 2020
Stanford University, Online Course (coursera.org), 2018
HTML5 Application Development, Yerevan, Armenia, 2017
ARJANG High Education Institiute, Tehran, Iran, 2017
Selected Projects
Rabin was an open-source recommender system that I made with pure Python and educational purposes. I used HTML, CSS, JavaScript, PHP, and MySQL in this project and shared all of the codes on GitHub.com. I’m going to improve the efficiency of Rabin to make another version that can be used for commercial purposes.
Rabin in Persian means trustful consultant. , 2019
Teaching Experiences
Karaj Branch; Azad University (KIAU), Alborz, Iran; 2022-2023
West Tehran Branch; Azad University (WTIAU), Tehran, Iran; 2017-2018
LAITEC Institute, Associated with Sharif University, Tehran, Iran; 2017
Tehran Institute of Technology, Alborz, Iran; 2012-2017
Technical Skills
Python, php
HTML, CSS, Javascript
MySQL
LaTeX
Search Engine Optimization (SEO)
Voluntary Activities
The 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering - IEEE MetroXRAINE 2024
St. Albans, United Kingdom, 21th-23th October 2024
I was a member of the support team.
The ACM Web Conference 2022, was the 31st conference in the International World Wide Web Conference series.
Lyon, France, 25th-29th April 2022
The conference was hybrid (online - onsite) and I was a virtual SV.
The 15th ACM Conference on Recommender Systems (RecSys).
Amsterdam, Netherlands, 27th September-1st October 2021
Due to the pandemic, the conference was hybrid (online - onsite) and I was a virtual SV.
(The 2nd largest gathering of designers in Iran)
I was a member of the executive team at the Event. Tehran, Iran 2017
An online supermarket, with the feature of comparing items, is usually based on their nutritional values.
I was the leader of the front-end development Team and also head designer in the startup. 2015-2016
Located in: SYNTECH (Technology and Innovation Center) at Qazvin Azad University , Qazvin, Iran
