Prof. Muhammad Abuturab | cryptosystem Awards | Best Researcher Award

Prof. Muhammad Abuturab | cryptosystem Awards | Best Researcher Award

Prof. Muhammad Abuturab , Maulana Azad National Urdu University , India

Professor Muhammad Rafiq Abuturab is currently a Professor at the Department of Physics, Maulana Azad National Urdu University, Hyderabad, India. With a specialization in optical information processing, optical signal processing, and digital holography, his research focuses on advanced cryptosystems and computational imaging techniques. He has an impressive academic career, having served in various capacities at institutions like the Muzaffarpur Institute of Technology and Maulana Azad College of Engineering and Technology. Prof. Abuturab has collaborated internationally with scholars like Prof. Ayman Alfalou from France and Prof. Zhengjun Liu from China. He has published extensively, with significant citations and a notable h-index, reflecting his impact in the field. His educational background includes a Ph.D. in Physics and a Post-Doctoral Fellowship at ISEN Brest, France. Prof. Abuturab is also proficient in teaching subjects such as optics, quantum mechanics, and electromagnetic theory.

Professional Profile:

Orcid

🎓Education:

Professor Muhammad Rafiq Abuturab holds a Ph.D. in Physics from M. U., India. He further advanced his expertise through a Post-Doctoral Fellowship at LABISEN–Yncréa Ouest (Yncréa-Ouest Research Laboratory), ISEN Brest, France.

🏢Work Experience:

Professor Muhammad Rafiq Abuturab is currently a Professor at Maulana Azad National Urdu University in Hyderabad, India, a position he has held since November 1, 2023. Prior to this, he served as an Associate Professor at Muzaffarpur Institute of Technology in Muzaffarpur, India, from September 9, 2022, to October 31, 2023. Before his tenure there, he was an Assistant Professor at Maulana Azad College of Engineering and Technology in Patna, India, from January 1, 2010, to September 8, 2022. Additionally, he worked as a Senior Lecturer at the same institution from February 8, 2009, to December 31, 2009.

🏆Awards:

Professor Muhammad Rafiq Abuturab has made significant contributions to his field through numerous publications, which have garnered significant citations and a notable h-index, reflecting his impactful research. He has also engaged in international collaborations with esteemed scholars such as Prof. Ayman Alfalou from France and Prof. Zhengjun Liu from China, further enhancing the reach and influence of his work.

Publication Top Notes:

  • Multiple color image fusion, compression, and encryption using compressive sensing, chaotic-biometric keys, and optical fractional Fourier transform
  • Securing multiple-single-channel color image using unequal spectrum decomposition and 2D-SLIM biometric keys
  • Coherent superposition based single-channel color image encryption using gamma distribution and biometric phase keys
    • Conference: Pattern Recognition and Tracking XXXII
    • Year: 2021
    • Date: 2021-04-12
    • DOI: 10.1117/12.2586814
    • Contributors: Muhammad Rafiq Abuturab
  • A superposition based multiple-image encryption using Fresnel-Domain high dimension chaotic phase encoding
    • Journal: Optics and Lasers in Engineering
    • Year: 2020
    • Contributors: Muhammad Rafiq Abuturab
  • Multiple information fusion and encryption using DWT and Yang-Gu mixture amplitude-phase retrieval algorithm in fractional Fourier domain
    • Conference: 4th International Conference on Soft Computing: Theories and Applications (SoCTA 2019), Proceedings of SoCTA, Advances in Intelligent Systems and Computing, Springer
    • Year: 2020
    • Contributors: Muhammad Rafiq Abuturab

 

 

Mr. Salvador Cuñat | Cryptography Award | Best Researcher Award

Mr. Salvador Cuñat | Cryptography Award | Best Researcher Award

Mr. Salvador Cuñat, Universitat Politècnica de València, Spain

Salvador Cuñat Negueroles is a cybersecurity researcher at Universitat Politècnica de València (UPV), specializing in Security and Trust for IoT networks as a PhD student. With expertise in intrusion detection systems, IoT security, computer forensics, and network management, he has contributed to projects like the Dataports and aerOS Project. Cuñat has presented papers on Digital Twin and industrial IoT security at various conferences and has developed software across multiple platforms. A National Cyber League finalist, he holds a Master’s degree in Cybersecurity and Ciberinteligence from UPV and is proficient in English at a C2 level.

Professional Profile:

Orcid

📚 Education:

Salvador Cuñat Negueroles pursued his Bachelor’s in Computer Engineering at UPV, Spain, from 2016 to 2020. Building upon his foundational knowledge, he furthered his education with a Master’s degree in Cybersecurity and Cyberintelligence at the same institution from 2020 to 2022. Additionally, he attained proficiency in English at a C2 Level, certified by Cambridge Assessment English. These academic achievements have equipped Salvador with a solid background in computer engineering and specialized expertise in cybersecurity and cyberintelligence, complemented by strong communication skills in English.

💼 Work Experience:

Salvador Cuñat Negueroles embarked on his professional journey as a Computer Engineer at F1-Connecting, Valencia, from June 17, 2019, to August 8, 2019. Demonstrating his prowess in the field, he emerged as a finalist in the National Cyber League in 2020, showcasing his dedication and skills in cybersecurity. Subsequently, Salvador transitioned into the realm of research, contributing his expertise to the Dataports Project at SATRD UPV, Valencia, from April 6, 2022, to April 1, 2023. Currently, he continues his research journey as a key member of the aerOS Project at SATRD UPV, Valencia, starting from April 6, 2023, to the present, where he actively engages in cutting-edge developments in the field of cybersecurity and IoT networks.

Publication Top Notes:

1.Blockchain-based Digital Twin for IoT Deployments in Logistics and Transportation
Published Year: 2024
Journal: Future Generation Computer Systems