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Dr. Abdallah Soualmi, Cryptography, Best Researcher Award

Doctorate at University Ferhat abbas setif 1, Algeria

Dr. Abdallah Soualmi completed his education with a Bachelor’s degree in Computer Science in June 2014, followed by a Master’s degree in Networks and Distributed Systems in June 2016. He achieved a Ph.D. in Machine Learning in May 2021, specializing in the protection of medical content using watermarking and cryptography.

Profile:

Education:

Dr. Abdallah Soualmi completed his Bachelor’s degree in Computer Science in June 2014, followed by a Master’s degree in Networks and Distributed Systems in June 2016. He achieved his Ph.D. in Machine Learning in May 2021, specializing in the protection of medical content using watermarking and cryptography.

Professional Experience:

Dr. Abdallah Soualmi’s professional experience spans academia and research, focusing on machine learning, data security, and cryptography. He began his career as a Research Fellow and Ph.D. Student at UFAS1 University, actively involved in cutting-edge research from September 30, 2016, to May 4, 2021. His work during this period contributed significantly to the fields of medical data security, cryptography, steganography, watermarking, data authenticity, authorship proofing, and data sharing monitoring. After completing his Ph.D., Dr. Soualmi transitioned to an academic role, initially as an Assistant Teacher at Cuillizi University from September 26, 2021, to September 26, 2022. He then progressed to become an Associate Lecturer at the same university, starting from September 26, 2022, until the present. In these roles, he has been instrumental in shaping the educational journey of students, imparting his knowledge in machine learning and computer science. Throughout his career, Dr. Soualmi has demonstrated a strong commitment to research excellence and academic development, with a focus on leveraging advanced technologies for enhancing data security and integrity. His contributions in both academia and research highlight his expertise and dedication to advancing the frontiers of machine learning and data protection.

Research Interest:

Dr. Abdallah Soualmi’s research interests are centered around machine learning, data security, and cryptography, with a particular focus on applications in medical data protection. He is passionate about exploring innovative approaches to ensure the security and integrity of sensitive medical information, employing techniques such as cryptography, steganography, watermarking, and data authenticity verification. Dr. Soualmi is also interested in data sharing monitoring mechanisms to enhance privacy and prevent unauthorized access to medical data. His research aims to contribute to the development of robust and reliable solutions for safeguarding healthcare information in an increasingly digital and interconnected world.

Publication Top Noted:

A new blind medical image watermarking based on weber descriptors and Arnold chaotic map

  • Authors: A Soualmi, A Alti, L Laouamer
  • Journal: Arabian Journal for Science and Engineering
  • Volume: 43
  • Issue: 12
  • Pages: 7893-7905
  • Citations: 43
  • Year: 2018

A novel blind medical image watermarking scheme based on Schur triangulation and chaotic sequence

  • Authors: A Soualmi, A Alti, L Laouamer
  • Journal: Concurrency and Computation: Practice and Experience
  • Volume: 34
  • Issue: 1
  • Pages: e6480
  • Citations: 20
  • Year: 2022

A novel blind watermarking approach for medical image authentication using MinEigen value features

  • Authors: A Soualmi, A Alti, L Laouamer
  • Journal: Multimedia Tools and Applications
  • Volume: 80
  • Issue: 2
  • Pages: 2279-2293
  • Citations: 17
  • Year: 2021

An imperceptible watermarking scheme for medical image tamper detection

  • Authors: A Soualmi, A Alti, L Laouamer
  • Journal: International Journal of Information Security and Privacy (IJISP)
  • Volume: 16
  • Issue: 1
  • Pages: 1-18
  • Citations: 16
  • Year: 2022

A blind image watermarking method for personal medical data security

  • Authors: A Soualmi, A Alti, L Laouamer
  • Conference: 2019 International Conference on Networking and Advanced Systems (ICNAS)
  • Pages: 1-5
  • Citations: 10
  • Year: 2019

 

 

Abdallah Soualmi | Cryptography | Best Researcher Award

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