2021–present ISCTE - Instituto Universitario de Lisboa
Master of Computer Engineering - Software,
2013–2015 Azad University, Science and Research Branch, Tehran, Iran
Bachelor of Computer Science, 2006–2011
Áreas de Investigação / Interesse
Model-Driven Engineering
Machine Learning
Internet of Things
Smart Wearable for Health Monitoring
Atividade Desenvolvida
River Cure project, at, Lisbon, Portugal, March 2021-June2021 Scientific supervisor: AlbertoRodrigues da Silva, Joao Carlos Ferreira This
project was about becoming acquainted with and investigating concepts
such as Model-Driven Engineering (MDE), Domain-Specific Language (DSL),
initial research challenges in MDE for Internet of Things (IoT)
applications, and some related tools such as XTEXT, Sirius, and EMF.
MDE4IoT (Model-Driven Engineering of IoT Services.)”, Lisbon, Portugal, July 2021- January 2022 Scientific supervisor: Alberto Rodrigues da Silva, Joao Carlos Ferreira This
project involved the following tasks: implementing a sample IoT system
with Sirius and automatically generating code, writing a survey paper
about investigation tools and techniques MDE4IoT, investing challenges
Machin learning for MDE4IoT, and becoming acquainted with ML-Quadrat,
writing a proposal.
Safe Cities, Porto, Portugal, Jan 2022-Sep 2022 Scientific supervisor: Ines Dutra The
"Safe Cities” project is about Sensor Data Mining and Automatic
Learning and working on data that can come from various sources and can
be of different types and varieties data can come from: Fire alarms,
Environmental pollution meters, Optical, thermal, or acoustic sensors,
Data from customized mobile applications, Data from other subprojects. My
task in this project was: becoming acquainted with Time series
modelling techniques: ARIMA, Holt Winter, LSTM and training this model
for a fire detection system and forecasting the value of some sensor
(Opt1, Temp and so on)
PhD project, Lisbon, Portugal, July2022-at present Scientific
supervisor: Alberto Rodrigues da Silva, Joao Carlos Ferreira ,Armin
moin My PhD project is about enabling Time series modelling
techniques on ML-Quadrat (ML2). Ml2 is a Model-Driven Software
Engineering (MDSE) tool with full code generation and out-of-the-box
Machine Learning (ML) support at the modeling layer for creating smart
services for the Internet of Things (IoT) and Cyber-Physical Systems
(CPS). This tools only support supervised, unsupervised, and semi
supervised ML techniques. In my PhD project I am applying Time series
modelling techniques for ML2.
Reviewer in EAI INTSYS 2021 - 5th EAI International Conference on Intelligent Transport Systems
Demo chair in EAI INTSYS 2020 - 4th EAI International Conference on Intelligent Transport
Experience of Supervisions
Co-supervisor, Patrick Henrique Soares de Medeiros, " Calculation of the ecological footprint of freight carriers". ISCTE-IUL, Lisbon, Portugal, 2021–Present.
Co-supervisor, Joana de Castro Faria de Matos Ascenso, "Intelligent, sustainable and efficient road freight transport operations". ISCTE-IUL, Lisbon, Portugal, 2021–Present.
Publicações Relevantes
Journal Papers
J1. Zahra Mardani Korani, Kamran Zamanifar. "A Novel Protocol in Media Access Control for Wireless Body Area Network." INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY 17, no. 7 (2017): 301-305.
J2. Javadpour, Abdollah, Amir Javadpour, Zeynab Farhadi, and Zahra Mardani Korani. "An Accurate Measurement System Comprising of Wireless Thermometers for Neonate Body Temperature Monitoring." Journal of Biomedical Physics and Engineering (2017).
Conference Papers
C1. Z. Mardani, K. Zamanifar, "A Review of Protocols of Media Access Layer in Wireless Body Area Networks (WBAN), ‘’ First National Conference on Computer Engineering & Information Technology, Qom, Iran,2016.
C2. Z. Mardani, K. Zamanifar, "Investigating Energy Consumption in Wireless Body Area
Networks with Changes in the Media Access Layer, "First National Conference on Electrical Engineering, Computer Engineering and Information Technology, Shiraz,
Model-Driven Engineering Techniques and Tools for Machine Learning-enabled IoT Applications: A Systematic Mapping Study.
Outras Atividades Científicas e Técnicas
Scientific Workshop
Research Methods Workshop, Islamic Azad University, Isfahan, Iran, June 2015
Third International Conf. on Electronic commerce, Isfahan Chamber of Commerce, Isfahan, Iran, Feb 2016
Medical Tourism Start-up Weekend, Isfahan Healthcare City, Isfahan, Iran, October
Workshop on IoT and Business Opportunities, Najaf Abad University, Isfahan, Iran, Feb. 2019
Invited Talks
Delivered a talk at Cloud Computing Workshop, University of Isfahan, Iran, November 2014 Title: Security in cloud computing
Experience of Teaching
Department
of Computer and IT Engineering, Chehelsotoon Institute of Higher
Education, Isfahan, Iran, September 2017- Febuary2020
(https://naghshejahan.ac.ir/)
Courses
Advance programming (C++)
Web-based programming (PHP, HTML)
Computer Networking Lab (Cisco Packet Tracer for Network Simulation)
Advance Web Design Lab (PHP, CMS (Word Press))
Online Training Course
Machine learning– (2019), https://faradars.org/
Python-(2019), https://faradars.org/
Computer Skills
Modeling Technologies
Sirius Eclipse, XTEXT, Acceleo, Eclipse Modeling Framework, ML-Quadrat. (Used in INOV and INESC project)
Data Analytic
Working with time series analysis and forecasting (Holt Winter, ARIMA, SARIMAX, LSTM). (Used in Safe cities project)
One research grant (research scholarship) in the project CIT, entitled "River Cure”, at INESCID honor date March 2021, Lisbon, Portugal
One research grant (research scholarship) in the project CIT, entitled "MDE4IOT”, INOV – Institute of Systems and Computer Engineering Innovation, honor date July 2021, Lisbon, Portugal
One research grant (research scholarship) in the project Safe Cities, with the reference POCI01-0247-FEDER-041435 (SP2_101), honor date Jaunuary2022, University of Porto and Bosch Company, Porto, Portugal