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MP

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

Mehran Pourvahab

PhD in Computer Engineering
CTO at cdnCore
Data Scientist
Machine Learning Specialist
ML Specialist in Healthcare
NLP & LLMs Researcher
IT and Networking
MikroTik Trainer
MikroTik Consultant
Cyber Security Engineer
Cloud Security & Forensics Specialist
Blockchain Engineer
Senior Researcher

I am the CTO at cdnCore and a Senior Researcher with expertise in Artificial Intelligence, Machine Learning, Cyber Security, and Data Science, working at the edge of emerging technologies.

Biography

Mehran Pourvahab has a background in computer engineering and extensive experience in the fields of Medical Informatics, Data Science, Machine Learning, Natural Language Processing (NLP), Large and Small Language Models (LLMs/SLMs), Networking, Cyber Security, 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 in cloud network forensics earned top honors with a perfect evaluation of 20/20.

He completed two postdoctoral positions at the University of Beira Interior (UBI), Portugal. His first postdoctoral position was at the C4 – Cloud Computing Competences Centre, where he worked on developing ML and data science platforms for cardiology and neurodegenerative disease prediction. His second was at the Assisted Living Computing and Telecommunications Laboratory (ALLab), focusing on predictive algorithms and knowledge-based modules in Medical Informatics through AI.
After these positions, Mehran served as an active member of the Centre for Human Language Technology and Bioinformatics (HULTIG), where he conducted research on NLP, LLMs, semantic interoperability, and AI-driven healthcare applications.

He also served as Data Manager and Project Manager of the Unified Data Model in the EU-funded Phara-On project, one of the largest R&D initiatives in Europe, where he designed and implemented an RDF-based semantic data model enabling interoperability among heterogeneous technologies for healthy and active ageing.

Currently, Mehran serves as Co-CTO at cdnCore, where he leads technology strategy, innovation, and advanced system development. His work spans Artificial Intelligence, Cyber Security, Cloud Security, and Data Science, with a strong focus on working at the edge of emerging technologies to design and implement next-generation solutions bridging academia and industry.

He previously served as a faculty member in the computer department at Azad University, Langarud Branch. He has been a member of the IEEE and the IEEE Computer Society since 2012, and was elevated to IEEE Senior Member status in 2025. He has also actively contributed to the Iranian ICT Guild Organization, serving as head of the security and network commission. He holds professional certifications including MikroTik Certified Routing Engineer, MikroTik Certified Wireless Engineer, and Cyberoam Certified Network & Security Professional.

With extensive publications, peer-review activities, and years of teaching in algorithms, databases, networks, and programming, Mehran has built a career that integrates research, education, and industry. He continues to foster innovation and collaboration through his expertise in AI, networking, and cutting-edge technologies.

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://cdncore.eu/Commitments_Page/commitments_page.html#team

  • Mehran Pourvahab
  • 44
  • HULTIG, UBI, R. Marquês de Ávila e Bolama, Castelo Branco, Portugal

Ph.D. in Computer Engineering | Medical Informatics | Data Science & Machine Learning | Natural Language Processing (NLP) & Large Language Models (LLMs) | Semantic Interoperability | IT & Networking Official Consultant | MikroTik Trainer & Consultant | Cloud Security & Forensics | Cyber Security Engineer & Consultant | Blockchain & Software-defined Networking

Mehran Pourvahab

My areas of work

Artificial Intelligence & Data Science

  • Machine Learning & Deep Learning

  • Natural Language Processing (NLP) & Large Language Models (LLMs)

  • Data Analytics & Predictive Modeling

  • Applications in Healthcare & Mental Health

Medical Informatics & Digital Health

  • Semantic Interoperability

  • IoT & Healthcare Integration

  • AI-driven Clinical Decision Support

  • Data Platforms in Digital Health

Networking & Cyber Security

  • Consulting, Design & Implementation of Networks

  • Cloud Security & Forensics

  • Software-Defined Networking (SDN)

  • Blockchain-based Secure Systems

Training & Professional Development

  • Networking (Basic to Advanced)

  • MikroTik Certified Trainer

  • Cyber Security & Digital Forensics

  • AI & Data Science Workshops

  • Blockchain & Emerging Technologies

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

Senior Researcher

Nov 2023 - Aug 2025

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

Machine Learning & Data Science

100%

Natural Language Processing (NLP) & LLMs

100%

Medical Informatics & Digital Health

100%

Networking & Cloud Security

100%

Cyber Security & Forensics

100%

Blockchain & Software-defined Networking

100%

Python & Scientific Computing

100%

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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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