Dr. Mehran Pourvahab | Data Science | Best Researcher Award
Dr. Mehran Pourvahab, University of Beira Interior, Portugal
Dr. Mehran Pourvahab is a researcher, developer, educator, and network engineer affiliated with the University of Beira Interior (UBI), Portugal. An IEEE Senior Member, he specializes in Medical Informatics, Data Science, Machine Learning, Cloud Security, Software-defined Networking, and Blockchain Technology. He holds a Ph.D. in Computer Engineering from Azad University, Iran, and has completed one postdoctoral position at UBIās C4 ā Cloud Computing Competences Centre. He is currently pursuing a second postdoc at ALLab, focusing on AI-driven predictive algorithms in Medical Informatics. As Data and Project Manager at HULTIG for the Phara-On project, he contributes to ICT solutions for ageing populations. Dr. Pourvahab has extensive teaching, consulting, and research experience, with numerous publications and contributions to academia and industry.
Profile
š Early Academic Pursuits
Dr. Mehran Pourvahabās journey into the world of computer engineering began with a solid foundation in academia. His early education equipped him with a deep understanding of computing principles, networking, and software systems. Driven by a passion for technological innovation, he pursued higher education in computer engineering, culminating in a Ph.D. from Azad University, Iran. His doctoral research, which focused on collecting reliable legal evidence in cloud network forensics, was groundbreaking and earned him top honors with a perfect thesis evaluation of 20/20.
After earning his doctorate, Dr. Pourvahab sought to deepen his expertise further through postdoctoral research. His first postdoctoral position at the University of Beira Interior (UBI) in Portugal, under the C4 ā Cloud Computing Competences Centre, allowed him to explore the intersection of machine learning, data science, and medical informatics. His research aimed to develop a predictive and monitoring platform for cardiology and neurodegenerative diseases, leveraging AI and data analytics to improve healthcare outcomes.
Currently, he is pursuing a second postdoctoral research position at UBIās Assisted Living Computing and Telecommunications Laboratory (ALLab). His work here continues to push the boundaries of medical informatics, AI-driven predictive algorithms, and knowledge-based systems that enhance healthcare solutions.
š¼ Professional Endeavors
Dr. Pourvahab’s professional journey is a testament to his commitment to both academic excellence and industry innovation. His expertise spans multiple domains, including:
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Medical Informatics
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Data Science & Machine Learning
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Cloud Security & Forensics
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Software-Defined Networking (SDN)
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Blockchain Technology
Beyond academia, he has made significant contributions to the networking and cybersecurity industry. As a senior network engineer, he holds multiple professional certifications, including:
š¹ MikroTik Certified Routing Engineer
š¹ MikroTik Certified Wireless Engineer
š¹ Cyberoam Certified Network & Security Professional
Dr. Pourvahab also played a key role in establishing MehranNet, an Internet Service Provider (ISP) founded in 2001, where he continues to serve as a board member. His entrepreneurial vision and leadership have helped shape the company into a recognized name in the networking sector.
In the academic sphere, he has served as a faculty member at Azad University, Langarud Branch, where he mentored students in various fields of computer science. His courses have covered topics such as algorithm design, database systems, networking, and programming languages. He has also supervised Ph.D. and masterās students, providing guidance on cutting-edge research topics.
š¬ Contributions and Research Focus
Dr. Pourvahab has been actively engaged in cutting-edge research, particularly at the intersection of AI, cloud computing, cybersecurity, and medical informatics. Some of his notable research contributions include:
š Data Science & AI in Healthcare
At UBIās ALLab, Dr. Pourvahab is pioneering AI-driven predictive models that assist in early diagnosis and monitoring of medical conditions. His research is crucial in areas such as:
ā Cardiology ā Predicting heart disease risks using AI-based modeling
ā Neurodegenerative Disorders ā Developing smart monitoring systems for Alzheimerās and Parkinsonās disease
ā Behavioral Health ā Enhancing mental health assessments using data analytics
š”ļø Cloud Forensics & Cybersecurity
His Ph.D. research in cloud forensics provided a framework for collecting reliable legal evidence in cloud networks. This work is essential for:
ā Strengthening digital forensics methodologies
ā Enhancing legal evidence collection in cybercrime cases
ā Improving security measures in cloud computing environments
š Blockchain and SDN Technologies
Dr. Pourvahab has also contributed significantly to software-defined networking (SDN) and blockchain technology by:
ā Developing secure cloud architectures
ā Enhancing network automation and security
ā Implementing blockchain-based authentication mechanisms
š Accolades and Recognition
Dr. Mehran Pourvahabās contributions have not gone unnoticed. Over the years, he has received numerous honors and accolades for his work, including:
š„ IEEE Senior Membership ā A prestigious recognition of his contributions to computer engineering and networking.
š Research Publications ā He has authored and co-authored numerous peer-reviewed journal papers and conference articles in high-impact venues.
š Editorial and Peer-Review Contributions ā Dr. Pourvahab has reviewed research articles for various esteemed journals and conferences, further cementing his role as an authority in his field.
š Leading R&D Projects ā As a Data Manager and Project Manager for the Unified Data Model in the Phara-On project, he played a crucial role in one of Europeās biggest R&D initiatives focused on ICT solutions for aging populations.
š” Leadership in Networking and Security ā His involvement in the Iranian ICT Guild Organization, where he served as head of the security and network commission, highlights his leadership and impact on national technology policies.
Publication Top Notes
Enhancing Neural Network Generalisation with Improved Differential Evolution
Evolutionary Self-adjusting Masi Entropy Thresholding