Dr. Mostefa Kara | Post Quantum Cryptography | Best Researcher Award

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Dr. Mostefa Kara | Post Quantum Cryptography | Best Researcher Award

Dr. Mostefa Kara, King Fahd University of Petroleum and Minerals, Saudi Arabia

Dr. Mostefa Kara is a Postdoctoral Fellow at the Interdisciplinary Research Center for Intelligent Secure Systems (IRC-ISS) at King Fahd University of Petroleum and Minerals (KFUPM). He earned his Ph.D. in Computer Science from the University of El Oued, specializing in the secure management of autonomous cloud entities. His research focuses on cryptography, privacy, and blockchain technologies, with significant contributions to homomorphic encryption and energy-efficient blockchain consensus algorithms. With an H-index of 14, Dr. Kara has taught computer science and algorithms and has over a decade of experience as an IT engineer. He is also a recipient of the Erasmus+ Scholarship and has engaged in international research collaborations.

Professional Profile:

Google Scholar

Suitability for the Best Researcher Award:

Dr. Mostefa Karaā€™s comprehensive academic background, substantial research output, leadership in teaching, and significant contributions to the field of Computer Science, particularly in cryptography and secure systems, make him an outstanding candidate for the Best Researcher Award. His ability to bridge theoretical knowledge with practical applications underscores his potential to influence and shape future developments in IT security and beyond.

Educational Background:

Dr. Mostefa Kara earned his Ph.D. in Computer Science from the University of El Oued in 2022, specializing in secure management of autonomous cloud entities. He holds a Master’s in Computer Science (2019) and a Bachelor of Engineering in Computer Science (2005), with a focus on sentiment analysis and cloud security.

Professional Roles:

Dr. Kara is currently a Postdoctoral Fellow at the Interdisciplinary Research Center for Intelligent Secure Systems (IRC-ISS) at King Fahd University of Petroleum and Minerals (KFUPM). Previously, he was a Lecturer at the National Higher School of Mathematics and a Researcher at the LIAP Artificial Intelligence Laboratory.

Research Interests:

His expertise spans cryptography, privacy, and blockchain technologies. With an H-index of 14, Dr. Kara has made notable contributions to homomorphic encryption and energy-efficient blockchain consensus algorithms.

Teaching & IT Experience:

Dr. Kara has taught computer science and algorithms at various institutions and has over a decade of experience as an IT engineer in multiple sectors, including academia and industry.

Scholarship & Achievements:

Dr. Kara is a recipient of the Erasmus+ Scholarship and has participated in international research collaborations, including an internship at Hellenic Mediterranean University. šŸŒšŸ“˜šŸ”‘

Publication Top Notes:

  • “A fully homomorphic encryption based on magic number fragmentation and El-Gamal encryption: Smart healthcare use case”
    • Published year : 2022
    • Cited by: 34
  • “A compute and wait in pow (cw-pow) consensus algorithm for preserving energy consumption”
    • Published year : 2021
    • Cited by: 28
  • “Proof of chance: A lightweight consensus algorithm for the internet of things”
    • Published year : 2022
    • Cited by: 27
  • “A novel digital signature scheme for advanced asymmetric encryption techniques”
    • Published year : 2023
    • Cited by: 25
  • “Secure key exchange against man-in-the-middle attack: Modified Diffie-Hellman protocol”
    • Published year : 2021
    • Cited by: 21

 

 

 

Mr. Salvador CuƱat | Cryptography Award | Best Researcher Award

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Mr. Salvador CuƱat | Cryptography Award | Best Researcher Award

Mr. Salvador CuƱat, Universitat PolitĆØcnica de ValĆØncia, Spain

Salvador CuƱat Negueroles is a cybersecurity researcher at Universitat PolitĆØcnica de ValĆØncia (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. CuƱat 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

šŸ“š Education:

Salvador CuƱat 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.

šŸ’¼ Work Experience:

Salvador CuƱat 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

 

Dr. Ali Shahidinejad | Cryptography Award | Best Researcher Award

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Dr. Ali Shahidinejad | Cryptography Award | Best Researcher Award

Dr. Ali Shahidinejad, Deakin University, Australia

Dr. Ali Shahidinejad is a highly accomplished researcher and educator in the field of information technology, specializing in areas such as information security, distributed computing, machine learning, and hardware. Currently pursuing his Ph.D. in Information Technology at Deakin University, Australia, his research focuses on blockchain-assisted authentication protocols for IoT devices. With a strong academic background including a Ph.D. in Computer Science from University Technology Malaysia, a Master of Science from Islamic Azad University of Arak, and a Bachelor of Science from Islamic Azad University of Kashan, Dr. Shahidinejad possesses a diverse skill set and extensive experience in academia. He has contributed significantly to the field through his publications, projects, and awards, demonstrating his commitment to advancing knowledge and innovation in information technology.

Professional Profile:

Orcid

šŸ« Education:

Dr. Ali Shahidinejad is a dedicated scholar with a rich educational background in computer science and engineering. Currently pursuing a Ph.D. in Information Technology at Deakin University, Australia, from 2022 to 2025, he previously obtained his Ph.D. in Computer Science from University Technology Malaysia, Malaysia, from 2011 to 2015. Prior to his doctoral studies, he completed a Master of Science in Computer Engineering at the Islamic Azad University of Arak, Iran, from 2007 to 2010, and a Bachelor of Science in Computer Engineering at the Islamic Azad University of Kashan, Iran, from 2003 to 2007. This diverse academic journey demonstrates his commitment to advancing knowledge and expertise in the field of computer science and technology.

šŸ”¬ Research and Reviewer:

Dr. Ali Shahidinejad actively contributes to the academic community as a respected reviewer and committee member. He serves as a reviewer for esteemed journals such as IEEE Transactions and Computer Communications, leveraging his expertise to evaluate and enhance the quality of scholarly publications. Additionally, he plays a crucial role as a committee member for international conferences in Information Technology, where he helps shape the direction of the field by organizing and selecting cutting-edge research contributions. His dedication to these roles underscores his commitment to advancing knowledge and fostering excellence in the field of computer science and technology.

šŸ† Awards and Recognition:

Dr. Ali Shahidinejad has garnered significant recognition for his impactful contributions to the field of computer science. Notably, he has been acknowledged as one of the top 2% of Highly Cited Scientists by Stanford University, reflecting the widespread impact of his research and publications. Furthermore, his outstanding work has earned him the third place in the prestigious 2022 IEEE Consumer Electronics Magazineā€™s Best Paper Award, highlighting the quality and relevance of his scholarly output. Additionally, Dr. Shahidinejad has been honored with multiple gold and bronze medals for his exemplary performance in various projects and competitions, underscoring his excellence and leadership in the academic and research spheres.

Publication Top Notes:

  1. A Survey on the Computation Offloading Approaches in Mobile Edge Computing: A Machine Learning-based Perspective
    • Authors: A. Shakarami, M. Ghobaei-Arani, AliShahidinejad
    • Journal: Computer Networks
    • Published Year: 2020
  2. Resource provisioning using workload clustering in cloud computing environment: a hybrid approach
    • Authors: A. Shahidinejad, M. Ghobaei-Arani, M. Masdari
    • Journal: Cluster Computing
    • Published Year: 2020
  3. An autonomous computation offloading strategy in Mobile Edge Computing: A deep learning-based hybrid approach
    • Authors: A. Shakarami, A. Shahidinejad, M. Ghobaei-Arani
    • Journal: Journal of Network and Computer Applications
    • Published Year: 2021
  4. Resource Provisioning for IoT Services in the Fog Computing Environment: An Autonomic Approach
    • Authors: M. Etemadi, M. Ghobaei-Arani, A. Shahidinejad
    • Journal: Computer Communications
    • Published Year: 2020
  5. A review on the computation offloading approaches in mobile edge computing: A gameā€theoretic perspective
    • Authors: A. Shakarami, A. Shahidinejad, M. Ghobaeiā€Arani
    • Journal: Software: Practice and Experience
    • Published Year: 2020