Research Interests
- Data Science
- Machine Learning
- Computer Vision
- Data Mining
- Natural Language Processing
Education
Sapienza-Universit`a di Roma, Rome, Italy
M.Sc., Department of Computer Science, Sep 2017 - Jan 2021 (In English)
- Relevant Courses: Computer Vision, Machine Learning, Biometric Systems, Web and Social Information Extraction, Cloud Computing
- Thesis Title: Bi-directional sign language translation between Portuguese spoken Language and its corresponding sign language
Azarbaijan Shahid Madani University, Tabriz, Iran
B.Sc., Information Technology, 2012 - 2016
- Relevant Courses: Advanced Programming, Algorithm Design, Data
- Structure, Principles of Database Design, Artificial Intelligence
- Thesis Title: Initiating Kerio Controller and kerio Connect Service in University’s Network Infrastructure
Research Experience
Graduate Research Assistant March 2022 - Present
- LabRoCoCo - Sapienza University of Rome
- Advisor: Daniele Nardi, Ph.D
- Human-robot interaction in the European project ”A Collaborative Paradigm for Human Workers and Multi-Robot Teams in Precision Agriculture Systems” (CANOPIES).
Graduate Research Assistant Feb 2020 - July 2020
- GILT1 Lab - Polytechnic Institute of Porto, Porto, Portugal
- Advisors: Daniele Nardi, Ph.D., Nuno Escudeiro, Ph.D.
- Virtual Sign Project - Automatic translation of sign language
1Games Interaction and Learning Technologies
Publications
- Khani, Z., Escudeiro, N., Escudeiro, P. ”Towards Developing Parallel Corpora for portuguese and portuguese Sign Language”, Simp´osio de Engenharia Inform´atica 2020 (Accepted)
- Goldoust, H., Khani,Z. ”Proposing a Modern Clustering Method for Increasing the Lifetime of Wireless Ad-hoc Networks”, International journal of computer science and information security
Selected Academic Projects
- Implementing and evaluation of different regression and classification algorithms
- Water drinking reminder App for iOS.
- Developing Search Engine that uses vector space model in Python.
- Ear detection using Opencv.
- Implementing Hash Table, BFS (Breadth First Search) algorithms, K-means++ algorithms and etc for large data.
- Data extraction, clustering, and benchmarking developed algorithms on the Real Estate dataset.
- Predicting Real Estate Property Market Price using Multivariate Linear Regression method.
- Developing a recommendation system for personalized tourist information using deep learning.
- Feature extraction using deep convolutional neural networks for offline signature verification.
- Deploying a server-side application on Amazon Web Services (AWS) for Cloud Computing course.
Hard and Soft Skills
- Computer Programming:
- Python, R, C++, Java
- Data Science Frameworks:
- TensorFlow, Keras, PyTorch
- Database:
- MySQL , Neo4J, MongoDB
- Computer Networks:
- Microsoft Certified Solutions Associate (MCSA)
- Others:
- Photoshop, EndNote, Mendeley, LaTeX, Linux(Debian & Ubuntu), Microsoft Office, Notepad++
Honors
- Erasmus+ scholarship program
- Ranked Top Three Percent in Iran Nationwide University Entrance Exam(300000 participants)
- Gold Medalist of National Chess Competition among high school students of Iran
Languages
- English: Fluent
- Italian: Intermediate
- Turkish: Fluent
- Persian: Native Language