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        Zahra Mardani Korani
        Zahra Mardani Korani
        Zahra Mardani Korani
        Zahra Mardani Korani
        Curriculum Vitae
        Zahra Mardani Korani

        Curriculum Vitae

        Zahra Mardani Korani

        Bolseira de Investigação

        zmardani@lnec.pt

        218 443 612

        Situação Profissional

        Junior Research Fellow

        Graus Académicos e Científicos

        • Ph.D. in Information Sciences and Technologies,
          • 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 SupervisionsCo-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.
        • (Available online https://www.civilica.com/Paper-CIICE01-CIICE01_028.html)
        • 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,
        • Iran,2016.    (Available online https://www.civilica.com/Paper-ECIE01-ECIE01_019.html)

        Submitted paper

        • 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)

        Programming languages

        • Python (used for Safe cities project)
        • C++, PHP, Html, CSS, SQL Server, MATLAB, Asp.Net, C#

        Simulation tools

        • Weka, CISCO packet tracer, NS2

        Outra Informação

        Honors & Awards

        • 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