Biography

I am Hamed Farkhari, a Ph.D. early-stage researcher in the TeamUp5G group as ESR 13 that aims to improve the security and design secure authentication algorithms according to Artificial Intelligence inherent in SCNs.

I was born in Tehran which is the capital city of Iran. When I was 6 years old, my Family moved to Mashhad which is another important city in the east of Iran and I grow up there. I was able to graduate from the Azad University of Telecommunication Engineering in 2008, while I was selected as a top student throughout all semesters.

In 2011, I graduated from Telecommunications Engineering in Master’s Degree with an Internal article on watermarking in Digital Imaging and the effect of Attacks on them. During my studies and afterward I was involved in various activities including:

Teaching computer and electrical training classes, creating computer training packages at Lyda’s studio (A startup company owned by a friend of mine in Mashhad, aims to provide and produce educational content that is complex and important in a way that is easy to understand and accessible to everybody.), Internet subscriber support at ParsOnline Company and then radio network support at Mashhad Urban Train Company.

At the same time, because of my interest in design and programming, I learned to do 3D design and jewelry making as a side activity. Other interests I can also mention are financial analysis and markets, forecasting them, and learning their programming.

Learning, Teaching, Programming, Designing and learn and use artificial Intelligent are some of the most important of my hobbies. I also like to play chess, sudoku, Ping-Pong (Tennis on the table), Swimming, Mountaineering, Hiking, and Traveling.

Objectives

The goal of this project is to design efficient and effective privacy preservation mechanisms for small-cell networks (SCN) that feature secure authentication algorithms. Authentication and privacy-preserving schemes for (5G or otherwise) SCN entail serious security and privacy issues, where it is important to protect user identity, location privacy, among others.

Expected Results

New privacy preservation and authentication algorithms and cumulative methodologies, specifically developed for SCN that will mitigate the security and privacy issues inherent in SCNs while allowing for their advantages to remaining. Development of authentication algorithms and validation of results. Implementation of the proposed methods in an open-source simulator. Identification of advantages and trade-offs of the proposed methods.

Institutions and Supervisors

• Main Institution: PDMFC  (www.pdmfc.com )
• PhD Enrollment: ISCTE University (www.iscte-iul.pt)
• Academic: Prof. Pedro Sebastião
• Industry: Dr. Luis Miguel Campos

Secondments

IT-Lisbon: from June 2021 to January 2022