CV

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