RESEARCH INTEREST
Recommender Systems, Data Science, Data Analysis, Machine Learning, SQL, Multi-Objective Optimization, Artificial Intelligence, Graph Neural Networks, Ontology techniques, Electronic Commerce & Applied Math
EDUCATION
PHD BY RESEARCH– DATA SCIENCE
2019-present
Macquarie University, Sydney, Australia
Research area: Recommender Systems- Graph Neural Networks-Multi-Objective Optimization-Evolutionary Algorithms-Finance Data
Supervisor: Jian Yang, Prof. Co-supervisor: Jia Wu, Assis. Prof.
MASTER BY RESEARCH – DATA SCIENCE
2018-2019
Macquarie University, Sydney, Australia
Research area: the impact of incorporating user rating credibility in recommender systems
Supervisor: Jian Yang, Prof. Co-supervisor: Jia Wu, Assis. Prof. result: %97.00 (top score)
MASTER OF ENGINEERING – IT/ E-COMMERCE
2012-2015
Qazvin Islamic Azad University (QIAU), Qazvin, Iran
Research area: Data mining/ intelligent recommendations
Supervisor: Sasan H.Alizadeh, Assis. Prof. CGPA: 18.58/20 my Highest GPA: 19.2/20
BACHELOR OF SCIENCE – COMPUTER SCIENCE
University of Qom, Qom, Iran CGPA: 15.3/20 my Highest GPA: 18.3/20
2012-2015
WORK EXPERIENCE
March 2021 - Present
DATA SCIENTIST, COMMONWEALTH BANK OF AUSTRALIA
Data Scientist at AI Labs, Commonwealth Bank of Australia.
January 2020 - December 2020
ACADEMIC CASUAL TEACHING
An academic casual at Macquarie University (Sydney, Australia) for the courses entitled “Management of IT Systems and Projects” and “Enterprise Systems Integration”.
July 2015 - March 2018
IT ASSISTANT AND EDUCATIONAL CONSULTANT
IT assistant and educational consultant in Farzanegan1 high school (national organization for the development of exceptional talents school), Tehran, Iran.
KEY SKILLS
SKILLED IN:
Data Science/ Data Analysis
Matlab/Python Programming
SQL/ Teradata
Intelligent Recommendation
ADVANCED USER OF:
Python
SQL
Teradata
Rational Rose (dynamic modelling)
System Architect
Rapidminer
ICDL 1 & 2 (Microsoft Word, Excel, PowerPoint, Access, etc.)
HAVE EXPERIENCE WORKING WITH:
C++
C#
Tableau
BPM
MS Project Management
QUALIFIED IN (HAVE CERTIFICATE):
SQL server (database development –design and implementation)
Teradata
.Net fundamental
OTHER
Very good Mathematics knowledge
Self-motivated, have passion for research and further education (as a full-time)
Adaptable to dynamic and team work environments with good communication skill
Work well individually and in team and meet deadlines due to the teaching and research experiences
Ability to learn fast and put theoretical knowledge into practice
Language proficiency: Farsi (native) and Well versed in English (listening, speaking, reading and writing)
PUBLICATIONS
Ranjbar Kermany, Naime, et al. "A Multi-Stakeholder Recommender System for Rewards Recommendations." 2022 The ACM Conference Series on Recommender Systems (RecSys).
Ranjbar Kermany, Naime, et al. "Fair-SRS: A Fair Session-based Recommendation System." Web Search and Data Mining 2022 (WSDM'22)- Accepted.
Ranjbar Kermany, Naime, et al. "A fairness-aware multi-stakeholder recommender system." World Wide Web (2021): 1-24.
Kermany, Naime Ranjbar, et al. "An Ethical Multi-Stakeholder Recommender System Based on Evolutionary Multi-Objective Optimization." 2020 IEEE International Conference on Services Computing (SCC). IEEE, 2020.
Kermany, Naime Ranjbar, et al. "ReInCre: Enhancing Collaborative Filtering Recommendations by Incorporating User Rating Credibility." International Conference on Web Information Systems Engineering. Springer, Singapore, 2020.
Kermany, Naime Ranjbar. "Incorporating user rating credibility in recommender systems." (2019).
Kermany, Naime Ranjbar, and Sasan H. Alizadeh. "A hybrid multi-criteria recommender system using ontology and neuro-fuzzy techniques." Electronic Commerce Research and Applications (2017). (Impact Factor: 2.911)
N. R. Kermany and S. H. Alizadeh. “A fuzzy recommender system for forecasting customer segmentation by multi-variable fuzzy rule interpolation”. Fuzzy Systems (IFSC), 13th Iranian Conference on, 2013, pp. 1-5
Ranjbar Kermany, Naime, and Sasan Hossein Alizadeh. "A New Model for Best Customer Segment Selection Using Fuzzy TOPSIS Based on Shannon Entropy." Journal of Computer & Robotics 5.2 (2012): 7-12.
ACADEMIC ACHIEVEMENT
* Scholarships:
iMQRES-MRES from Macquarie University for 1-year Master by Research (2018-2019)
iMQRES from Macquarie University for 3-years PhD (2019-2022)
* MRes (Master by Research) outcome: %97.00 (top score)
* HDR student Representative committee member at Macquarie University
* 3MT presentation People's Choice Award at Macquarie University Department of Computing
* 3MT presentation 2nd Prize Award at Macquarie University Department of Computing
* Among the top three during master’s studies
* Among the top three during the last three semesters of bachelor’s studies
* Participated in Macquarie Hackathons (Big Data Society, Macquarie University):
July 24-27 2019: Intelligence-led Policing Hackathon
- First Place -understanding patterns of behavioral disorders using Tweets on Twitter-
- Best Demo Runner-Up
July 4-6 2018: Big Data Hackathon – Big Data Society
Sep 26-28 2018: BlockChain Hackathon – Big Data Society
* Participated in many international and national conferences: IEEE SCC 2020, WISE 2020, IFSC 2013, AI and Robotics 2012, Computer Society of Iran 2014, RoboCup IranOpen International Symposium 2013, etc.
EXTRACURRICULAR ACTIVITIES AND RECREATIONAL INTERESTS
Traveling, swimming, badminton, football, basketball, painting, and outdoor activities
2018-present: HDR student representative committee member at Macquarie University
2013–present: A volunteer member of Hami charity, a none-governmental organization, helping patients and poor people
Sep 2012: A member of undergraduate graduation ceremony organization team from
Jan/2013–Sep/2013: A committee member for the 13th Iranian Conference on Fuzzy Systems (IFSC 2013) at Qazvin Islamic Azad university
Feb 2012: Winner in swimming competitions at university of Qom, Iran
Mar 2010: Silver medal, basketball sports carnival, Qazvin Islamic Azad University
