Muhammad Sajjad | Cryptography | Best Researcher Award

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Dr. Muhammad Sajjad, Cryptography, Best Researcher Award

Doctorate at Quaid-I-Azam University Islamabad, Pakistan, Pakistan

Dr. Muhammad Sajjad is a mathematician specializing in data transmission, data security, coding theory, and cryptography. He earned his Ph.D. and M.Phil in Mathematics from Quaid-I-Azam University in Islamabad, Pakistan, focusing on coding and cryptographic schemes over vector algebra residue classes and higher-length cyclic codes over quaternion integers, respectively. He also holds an M.Sc in Mathematics and a B.Sc in Mathematics and Physics from Islamia University Bahawalpur. Dr. Sajjad has a wealth of experience in research and teaching, making significant contributions to the field of mathematics.

Profile:

Education:

  • Ph.D. in Mathematics (2020-2024) from Quaid-I-Azam University, Islamabad, Pakistan, with a focus on data transmission and data security using coding and cryptographic schemes over the residue classes of vector algebra.
  • M.Phil in Mathematics (2018-2020) from Quaid-I-Azam University, Islamabad, Pakistan, specializing in encoding and decoding of higher-length cyclic codes over quaternion integers.
  • M.Sc in Mathematics (2016-2018) from Islamia University Bahawalpur, Punjab, Pakistan.
  • B.Sc in Mathematics and Physics (2014-2016) from Islamia University Bahawalpur, Punjab, Pakistan.

Professional Experience:

Dr. Muhammad Sajjad has an extensive professional background in mathematics and academia. He has spent five years conducting research at Quaid-I-Azam University in Islamabad, Pakistan, focusing on various aspects of coding theory, cryptography, and data security. Currently, Dr. Sajjad serves as a Mathematics faculty member at Quaid-i-Azam University, where he imparts knowledge and expertise in areas such as Cryptography, Coding Theory, Linear Algebra, Rings and Fields, and Number Theory. In addition to his role at Quaid-i-Azam University, Dr. Sajjad has enriched his teaching experience as a visiting faculty member at prestigious institutions such as the National University of Modern Languages (NUML) and Bahria University, both located in Islamabad, Pakistan. He has also contributed his mathematical expertise as a faculty member at FG Sir Syed College in Rawalpindi, Pakistan. Throughout his professional journey, Dr. Sajjad has not only conducted impactful research but has also dedicated himself to educating and mentoring students, shaping the future of mathematics and related fields in Pakistan.

Research Interest:

Dr. Muhammad Sajjad’s research interests encompass a broad spectrum of mathematical and engineering disciplines. His expertise lies in the realms of data transmission, data security, coding theory, and cryptography. Within mathematics, Dr. Sajjad delves into areas such as vector algebra, commutative algebra, non-commutative algebra, and non-associative algebra. His exploration of number theory extends to developing novel cryptographic schemes and error-correcting codes in coding theory, contributing significantly to data security and communication reliability. Dr. Sajjad’s research endeavors are characterized by a deep understanding of algebraic structures and their applications in practical domains like information security and data transmission. His work often involves innovative approaches to encoding and decoding methods, particularly in the context of higher-length cyclic codes over quaternion integers. This intersection of theoretical mathematics and real-world applications underscores Dr. Sajjad’s commitment to advancing both fundamental mathematical knowledge and its practical implementations in data science and engineering.

Publication Top Noted:

“A comparative study of nonlinear fractional Schrödinger equation in optics”

  • Authors: S Irshad, M Shakeel, A Bibi, M Sajjad, KS Nisar
  • Journal: Modern Physics Letters B
  • Volume/Issue: 37 (05)
  • Cited By: 13
  • Year: 2023

“Quaternion Integers Based Higher Length Cyclic Codes and Their Decoding Algorithm”

  • Authors: M Sajjad, T Shah, MM Hazzazi, AR Alharbi, I Hussain
  • Journal: Computers, Materials & Continua
  • Volume/Issue: 73 (1)
  • Cited By: 7
  • Year: 2022

“Designing Pair of Nonlinear Components of a Block Cipher over Gaussian Integers”

  • Authors: M Sajjad, T Shah, RJ Serna
  • Journal: Computers, Materials & Continua
  • Volume/Issue: 75 (3)
  • Cited By: 6
  • Year: 2023

“Fundamental Results of Cyclic Codes over Octonion Integers and Their Decoding Algorithm”

  • Authors: M Sajjad, T Shah, RJ Serna, ZE Suárez Aguilar, OS Delgado
  • Journal: Computation
  • Volume/Issue: 10 (12)
  • Cited By: 3
  • Year: 2022

“Construction and decoding of BCH-codes over the Gaussian field”

  • Authors: M Sajjad, T Shah, M Alammari, H Alsaud
  • Journal: IEEE Access
  • Cited By: 2
  • Year: 2023

 

Abdallah Soualmi | Cryptography | Best Researcher Award

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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