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MP

+351 275 319 700 (1660)
Hello, My name is

Mehran Pourvahab

PhD in Computer Engineering
Machine Learning Specialist
ML Specialist in Healthcare
MikroTik Trainer
MikroTik Consultant
IT and Networking
Data Scientist
Cyber Security Engineer
Blockchain Engineer

I am a Researcher at HULTIG – Centre for Human Language Technology and Bioinformatics at the University of Beira Interior.

Biography

Mehran Pourvahab is a researcher, developer, educator, and network engineer with a background in computer engineering and extensive experience in the fields of Medical Informatics, Data Science, Machine Learning, Networking, Cloud Security, Cloud Forensics, Software-defined Networking, and Blockchain Technology. He received his Ph.D. in computer engineering from Azad University, Iran, where his thesis on collecting reliable legal evidence on cloud networks forensics earned him top honors with a thesis evaluation of 20/20. Mehran has completed one postdoctoral position and is currently pursuing another, both at the University of Beira Interior (UBI) in Portugal. His first postdoctoral position was at the C4 – Cloud Computing Competences Centre, where he researched and developed a platform to identify, monitor, warn, and predict relevant events in Cardiology and Neurodegenerative and Behavioral diseases through ML & Data Science. In his ongoing second postdoctoral position at the Assisted Living Computing and Telecommunications Laboratory (ALLab), he is working on researching and developing predictive algorithms and knowledge-based modules in Medical Informatics through AI. He joined the Centre for Human Language Technology and Bioinformatics (HULTIG) of UBI, and he is working as a Data Manager and Project Manager of the Unified Data Model on the Phara-On project — one of the biggest R&D projects in the EU, involving multinational collaboration — to enhance the quality of life for Europe’s ageing population through ICT solutions. He innovated a data model and RDF-based process within the Phara-On project, which connects diverse technologies for healthy and active ageing and provides a standardized approach to ensuring semantic interoperability among diverse systems. Mehran has been collaborating with the NOVALINCS research center since 2023. He had served as a faculty member of the computer department at Azad University, Langarud Branch. He has been a member of the Institute of Electrical and Electronics Engineers (IEEE) and the IEEE Computer Society since 2012. In addition, he has been an active participant in the Iranian ICT Guild Organization, serving as head of the security and network commission and commission membership of network and security. He holds multiple professional certifications, including MikroTik Certified Routing Engineer, MikroTik Certified Wireless Engineer, and Cyberoam Certified Network & Security Professional. Additionally, he was the chairman of the board of MehranNet Internet service provider, established in 2001; he also established the first computer store in the counties of Rudsar & Langarud, Guilan province, Iran, in 1997. Mehran has extensive publications, including papers in prestigious journals and conferences. He has also presented workshops on topics such as Blockchain and Cyber Warfare and has reviewed many articles for various journals and conferences. In addition to his research contributions, Mehran has a proven track record as an educator. He has taught courses such as algorithm design, databases, computer networks, data communications, and programming languages at universities and technical institutes in Iran. He has also supervised and co-supervised PhD’s and master’s students, and has served on the jury for master’s thesis defense. He is a consultant and trainer in networking and internet security, having earned his Mikrotik trainer certificate in 2011 and serving as an official adviser in networking and the internet. Mehran is well-equipped to make meaningful contributions in both academic and industry settings, bringing a unique perspective and commitment to excellence in his field.

Follow him at mp[at]computer.org or m.p[at]ieee.org
https://scholar.google.com/citations?user=Kq36ZfsAAAAJ&hl=en
https://www.researchgate.net/profile/Mehran_Pourvahab
https://www.webofscience.com/wos/author/record/1316706
https://www.cienciavitae.pt/portal/CC18-062C-9D33
https://www.linkedin.com/in/mehran-pourvahab/
https://hultig.ubi.pt/

  • Mehran Pourvahab
  • 43
  • HULTIG, UBI, R. Marquês de Ávila e Bolama, Castelo Branco, Portugal

Ph.D. in Computer Engineering | Medical Informatics | MikroTik Trainer & Consultant | IT and Networking Official Consultant | Data Scientist | Cyber Security Engineer and Consultant

Mehran Pourvahab

My areas of work

Networking

Consulting, Design, and Implementation types of network.
Providing all kinds of network services including Wireless, Security, Routing, AAA, …
Using brands and technologies: Cisco, MikroTik, Microsoft, Linux,…

Medical Informatics & Data Science & AI

Deploying the operational best solutions for data science / artificial intelligence.
Offering a comprehensive suite of machine learning, data analytics, and AI offerings, especially in healthcare.

Training

Networking complete course Basic to Advanced
MikroTik courses
Software-Defined Networking (SDN)
Cyber Security

My publications

ECG Forecasting System Based on Long Short-Term Memory

Henriques Zacarias, João Alexandre Lôbo Marques, Virginie Felizardo, Mehran Pourvahab, Nuno M Garcia,
Bioengineering 2024, 11, 89. https://doi.org/10.3390/bioengineering11010089

GSK-LocS: Towards a more effective generalisation in population-based neural network training

Seyed Jalaleddin Mousavirad, Khosro Rezaee, Abdulaziz S Almazyad, Ali Wagdy Mohamed, Davood Zabihzadeh, Mehran Pourvahab
, Diego Oliva

SPKT: Secure Port Knock-Tunneling, an Enhanced Port Security Authentication Mechanism

Mehran Pourvahab, Reza Ebrahimi Atani, Laleh Boroumand, “SPKT: Secure Port Knock-Tunneling, an Enhanced Port Security Authentication Mechanism”, IEEE Symposium on Computers & Informatics (ISCI 2012), 18 – 20 March 2012, Penang, Malaysia.

A Cluster-Based Opposition Differential Evolution Boosted By a Local Search for ECG Signal Classification

Mehran Pourvahab , Seyed Jalaleddin Mousavirad, Henriques Zacarias, Nuno Pombo, Virginie Felizardo, Hamzeh Mohammadigheymasi, Nuno M.Garcia,
Journal of Computational Science, (Under Review)

Gender Classification Using nonstandard ECG Signals – A Conceptual Framework of Implementation

Henriques Zacarias, Virginie Felizardo, Leonice Souza-Pereira, André Pinho, Susana Ramos, Mehran Pourvahab, Nuno Garcia & Nuno Pombo,
IoT Technologies for HealthCare. HealthyIoT 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2023, pp. 108–120. doi: 10.1007/978-3-031-28663-6_9.

An Efficient Forensics Architecture in Software-Defined Networking-IoT using Blockchain Technology

Mehran Pourvahab, Gholamhossein Ekbatanifard,  Journal of IEEE Access, Vol.7, pp.99573-99588, July 2019.

Digital Forensics Architecture for Evidence Collection and Provenance Preservation in IaaS Cloud Environment Using SDN and Blockchain Technology

Mehran Pourvahab, Gholamhossein Ekbatanifard,
Journal of IEEE Access, Vol.7, pp. 153349-153364, October 2019.

A Review of Techniques to Resolve the Hidden Node Problem in Wireless Networks

L.Boroumand, R.H.Khokhar, L.A.Bakhtiar and M.Pourvahab, “A Review of Techniques to Resolve the Hidden Node Problem in Wireless Networks”, Smart Computing Review, vol. 2, no. 2, April 2012, Korea. (Published)

Experiences

Researcher

Dec 2023 - Present

Full-Time

HULTIG, Computer Department, University of Beira Interior | Covilhã, Castelo Branco, Portugal

I am part of the Center for Human Language Technology and Bioinformatics (HULTIG), affiliated with the Department of Informatics at the University of Beira Interior. Our research focuses on the automatic processing of human language, particularly its practical applications, including Information Retrieval, Text Mining and Extraction, Automatic Summarization, Plagiarism Detection, Sentiment Analysis, Lexical Semantics, Textual Similarity Alignment, and Text Aesthetic Characterization.

While we prioritize technological applications, we also value the theoretical and conceptual aspects of human language study, especially in computational linguistics. We engage in interdisciplinary collaborations with other research groups and units, believing that the most innovative solutions to complex problems often arise at the intersection of knowledge domains.

For more information: https://hultig.ubi.pt/

Postdoctoral Associate

Oct 2021 - Oct 2023

Full-Time

ALLB, Computer Department, University of Beira Interior

Medical Informatics · Data Science · Research · Machine Learning · Data Analysis · Deep Learning

Te work plan includes scientific and technological research tasks carried out in order to research and develop a platform to identify, monitor, warn and predict relevant events in the fields of Cardiology and Neurodegenerative and Behavioral diseases.

Blockchain Researcher

from Mar 2022

Collaboration

Plus Foundation

Polkadot js plus is actually Polkadot js extension, plus new features. It is a user-friendly wallet to interact with the Polkadot/Substrate based blockchains through a browser. It allows users to access their account(s), which can also be used to interact with decentralized apps.

Faculty Member

from Sep. 2016 to Feb.2021

Full-Time

Azad University

A faculty member of the Computer Department, Langarud Branch

Head of the Department of Computer, Langarud Branch, from Sep. 2017 to Jan.2021

Academic Skills

  • 2015-2020

    Ph.D. in Computer Engineering

    Azad University

  • 2011-2013

    Master of Information Technology Engineering – Networking

    University of Guilan

  • 2008-2011

    Bachelor of Computer Software Engineering

    Azad University

HTML

100%

Networking

100%

python

100%

CSS

80%

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  • HULTIG, UBI, R. Marquês de Ávila e Bolama, Covilhã, Castelo Branco, Portugal
  • mp[at]ieee.org
  • +351 275 319 700 (1660)

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