Ahmet Furkan Aydoğan was born in 1995 in Turkey. He attended a high school in the field of information technology. In the later years of his high school education, his focus was only on technical subjects. During his high school education, he took professional programming classes and learned Turbo Pascal, the first programming language he learned. In 2010, with the experience he gained on C# and .NET, he developed the web pages named “AskAndSee.com”, which is close to today’s Tinder and Bumble concepts. While continuing his high school education, he took courses on PHP, MySQL, SQL, C, C++, HTML and CSS. He always considered himself lucky because of the quality and efforts of his teachers during his high school education.

In the last semester of his high school education, he did an internship at Samsung as a technician. In general, he took part in troubleshooting the hardware malfunctions of Samsung’s computer and phone products.

In the 3-month period between university and high school graduation, he developed applications for shift changes in hospitals. For a short time, he worked as an application developer at a company called MentalSoft. He mostly worked on developing applications and digital concepts for cafes and restaurants.

In 2013, he joined the UOLP program created by Fırat University – Turkey, which offers the opportunity to complete 3 years of a total of 5 years of education as a software engineer in Turkey and the remaining 2 years in the field of computer science and software engineering at Sam Houston State University – Texas – United States of America.

While continuing his education at Fırat University, he continued his cyber security studies. He prepared arguments on Bitcoin in the journal published at Fırat University in 2013. Afterwards, he spent most of his time working on Software Defined Radio (SDR). In 2017, he published his first international paper “Cyber Attacks Targeting Android Cellphones” at the 2017 5th International Symposium on Digital Forensic and Security (ISDFS). The paper examined the types of software and hardware attacks on Android phones. It also discussed the a5/1 brute-force attack variant by describing attacks with SDR. He also did his university internship at Samsung. During internship, he worked on the software problems of Samsung branded devices. In 2017, he completed his education in Turkey and started his education at Sam Houston State University.

He attended the English Language Institute for International Students at Sam Houston State University, where he studied preparatory English. During this time, he received the honor of “English Language Institute Fastest Improving Student”.

In 2018, he became more interested in academia with the support of Enhancing Undergraduate Research Experiences and Creative Activities (EURACA). With the financial support of EURACA, he was awarded the grant “Towards Safer Roads: An Efficient VANET Based Pedestrian Protection Scheme” with the financial support of EURACA. The paper received the best paper award at the 2021 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI). The paper was about the manipulation of applications used for WiFi Cracking for pedestrian safety in today’s autonomous cars.

During his first semester at Sam Houston State University, his semester project on encryption techniques and radio frequencies attracted attention. This gave him the opportunity to publish his paper “Improving Database Security with Pixel-based Granular Encryption” at the “2018 IEEE International Conference on Big Data”. The paper was generally about encrypting user data with image pixels, as opposed to traditional encryption methods for database systems.

In 2019, his paper “A Fair and Privacy-preserving Reservation Scheme for Charging Electric Vehicles” was published at the 2019 International Symposium on Networks, Computers and Communications (ISNCC). The paper was generally about the safety of electric vehicles in charging centers. Her second paper “Employing a Continuous Measurement Process During Digital Tool Validation” was published at the same conference. This paper was a research on the consistency of digital applications. In the same year, Hedera represented Sam Houston State University as an application developer at the Hashgraph Development and Utilization Conference (Dallas – Texas). Meanwhile, he served as a Teaching Assistant for the Programming with Python and File System Forensics courses at Sam Houston State University. He also worked as a volunteer Cyber Security Specialist at the Diversity Education Institute at Sam Houston State University. He was awarded the “High Achievement and Honorary Degree from the Dean’s Office of the Department of Computer Science”. At the end of the year, he graduated from Sam Houston State University and was accepted to the same university as a PhD student in Forensic Science and Technology – Digital Forensics.

Between 2019-2020, he served as an Invited Member of The National Society of Collegiate Scholars and also served as Vice President of Turkish Student Organization.

He worked as a Research and Development member of the IEEE Standards Association. The main idea of the group was to establish the foundations of digital forensics in digital laboratories. In the same year, he started working as a Scientific Committee Member at ISDFS. He also served as a Graduation Assistant for the Ethical Hacking course at Sam Houston State University.

In 2021, his paper “A New Approach to Social Engineering with Natural Language Processing: RAKE” was published at the 2021 9th International Symposium on Forensics and Security (ISDFS). The paper brought a different perspective to social media manipulation techniques. In the special session of the same conference for the IEEE Standards Association, he published his paper titled “Prevention Pre-Violence in E-Labs with Machine Learning: PVE”. Based on the paper, he discussed how machine learning can be effectively used in digital classrooms to achieve digital forensics-based results. His previously mentioned article “Towards Safer Roads: An Efficient VANET-based Pedestrian Protection Scheme” won the best paper award in the same year. Finally, he gave 40 hours of lectures to 300 students in accordance with the concept of “Cyber Academy” and cyber security organized in Turkey.

As of 2022, he is working on his thesis topic “Brain Frequency Based Evolutionary Encryption Method for IoT Devices”. As the content of the study; “The security levels of existing encryption methods are weakening with the increase in computing power. Due to the aforementioned situation, researchers have developed new methods with biological singularity using fingerprints or human faces. Unfortunately, fingerprints and facial features with biological singularities can be easily manipulated or forged. Therefore, this work creates a more secure strategy than existing encryption methods for IoT devices using electrical signals generated by the brain. The work is built on mathematically analyzing the electrical signals generated by an individual memory. There is a theory of cryptography that evolves and strengthens with each use of the password, generating different signals with new experiences. At the same time, it can measure the stress created by the user in case of danger and, unlike existing encryption methods, it can inform security forces of all transactions.”

He is currently a teaching assistant in Business Continuity Management, Information Security and Cyber Warfare courses. He is currently working on the papers “Illegal Object Identifier for Digital Forensics”, “Physical Identification of Text Transcribers (PIT)” and “Investigation of Encryption Techniques in IoT Devices”. The general concept of his work is to integrate existing strategies used in different fields into the field of digital forensics, recognizing the need for development in the academic field of digital forensics.