Dr. Samah Alhazmi | Security Awards | Best Researcher Award

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Dr. Samah Alhazmi | Security Awards | Best Researcher Award

Dr. Samah Alhazmi, Saudi Electronic University, Saudi Arabia

Dr. Samah Alhazmi, an Associate Professor at Saudi Electronic University (SEU), holds a Ph.D. in Computer Science from the University of Manchester, UK, with a focus on AI, Machine Learning, and NLP. She also earned an M.Sc. in Advanced Computer Science from the same institution and a B.Sc. from King Abdul Aziz University, Jeddah. Dr. Alhazmi has served as Assistant Professor, Lecturer, and held leadership roles including Vice-Dean for Academic Affairs and Head of the Computer Science Department at SEU. Her expertise spans Data Collection and Analysis, Business and Policy Analysis, Project Management, and Curriculum Planning. She has received prestigious awards such as the IBM Blockchain Developer – Explorer Award and the Predictive Analytics Modeler – Explorer and Mastery Awards. Her notable publications include works on blockchain applications in education, Arabic SentiWordNet, and energy management in wireless sensor networks.

šŸŒĀ Professional Profile:

Google Scholar

Suitability for the Best Researcher Award

  1. Research Excellence: Dr. Alhazmiā€™s research contributions in artificial intelligence, data mining, and sentiment analysis have made a significant impact in her field. Her work on blockchain applications and sentiment analysis is widely cited, demonstrating its influence and relevance.
  2. Leadership and Service: Dr. Alhazmi has held several leadership positions at SEU, including Vice-Dean for Academic Affairs and Head of the Computer Science Department. Her leadership has been pivotal in curriculum development, academic policy enhancement, and strategic planning.
  3. Awards and Recognition: The numerous awards she has received highlight her exceptional achievements and contributions to research and professional development. Her awards in blockchain development and predictive analytics reflect her proficiency in cutting-edge technologies.
  4. Teaching and Mentorship: Dr. Alhazmi has been actively involved in teaching and mentoring students, guiding their academic and professional growth. Her role in designing innovative curricula and supervising research projects underscores her commitment to education.
  5. Administrative and Strategic Contributions: Her involvement in committees related to scheduling, policy implementation, and accreditation demonstrates her effectiveness in academic administration and strategic planning.

šŸŽ“ Education:

Dr. Samah Alhazmi earned her Ph.D. in Computer Science from the University of Manchester, UK, focusing on AI, Machine Learning, and NLP. She also holds an M.Sc. in Advanced Computer Science from the same institution and a B.Sc. in Computer Science from King Abdul Aziz University, Jeddah.

šŸ›ļø Professional Experience:

She is currently an Associate Professor at Saudi Electronic University (SEU), where she has also served as Assistant Professor and Lecturer. Dr. Alhazmi has held key roles including Vice-Dean for Academic Affairs, Head of the Computer Science Department, and various leadership positions within SEU.

šŸ” Key Skills:

Her expertise includes Data Collection and Analysis, Business and Policy Analysis, Project Management, and Curriculum Planning. She is recognized for her leadership and research development skills.

šŸ† Awards and Honors:

Dr. Alhazmi has received multiple awards, including the IBM Blockchain Developer – Explorer Award and Predictive Analytics Modeler – Explorer and Mastery Awards. She was also honored with distinction for her M.Sc. dissertation and has received several publication awards.

šŸ“š Research Contributions:

Notable publications include “Blockchain-based Applications in Education” (Applied Sciences, 2019), “Arabic SentiWordNet in Relation to SentiWordNet 3.0” (Linguistic Research, 2013), and “Efficient Clustering Based Routing for Energy Management in Wireless Sensor Networks” (Electronics, 2022).

Publication Top Notes:

  • Title: Blockchain-Based Applications in Education: A Systematic Review
    • Year: 2019
    • Citations: 468
  • Title: Arabic SentiWordNet in Relation to SentiWordNet 3.0
    • Year: 2013
    • Citations: 23
  • Title: Efficient Clustering Based Routing for Energy Management in Wireless Sensor Network-Assisted Internet of Things
    • Year: 2022
    • Citations: 11
  • Title: Detection of Primary User Emulation Attack Using the Differential Evolution Algorithm in Cognitive Radio Networks
    • Year: 2022
    • Citations: 10
  • Title: Applsci-09-02400. Pdf
    • Year: 2019
    • Citations: 5

 

 

 

Prof Dr. Jiliang Zhang | Hardware Security | Best Researcher Award

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Prof Dr. Jiliang Zhang | Hardware Security | Best Researcher Award

Prof Dr. Jiliang Zhang, Hunan University, China

Prof. Dr. Jiliang Zhang, an eminent figure in computer science and technology, currently affiliated with Hunan University, China. šŸŽ“ His academic journey includes a Ph.D. in Computer Science and Technology from Hunan University, where he received accolades for his dissertation on “Security and Trust for FPGA-based Systems.” šŸ… Prof. Zhang’s research interests span hardware security, including areas like Physical Unclonable Functions (PUFs) and True Random Number Generators (TRNGs), as well as new computing architectures such as in-memory computing and brain-inspired computing. šŸ”¬ With a rich professional experience, including positions as a research scholar at the University of Maryland and visiting researcher at Tsinghua University, Prof. Zhang brings a wealth of knowledge and expertise to his role as a professor at Hunan University.

Professional Profile:

Scopus

Educational Background šŸŽ“

  • Ph.D. in Computer Science and Technology – Hunan University, China (2015)
    Dissertation: “Security and Trust for FPGA-based Systems” (Outstanding Doctoral Dissertation)
  • B.E. in Chemical Engineering and Technology – Shandong University of Science and Technology, China (2009)

Honors and Awards šŸ…

  • Worldā€™s Top 2% Scientists – Stanford University, 2020-2023 (Ranked 36th in 2023 and 16th in 2022 in computer hardware and architecture)
  • CCF Distinguished Lecturer – 2022, 2023
  • Second Natural Science Award – Hunan Province, 2022

Research Interests šŸ”¬

  • Hardware Security: Physical Unclonable Functions (PUFs), True Random Number Generators (TRNGs), Hardware Obfuscation, IP Protection, FPGA Security, Hardware Trojan Detection, Cryptographic Accelerators, CPU Security, and Applications in Secure Systems.
  • New Computing Architectures: In-memory Computing and Brain-inspired Computing.

Professional Experience šŸ«

  • Professor – Hunan University (Dec 2020 – Present)
  • Associate Professor – Hunan University (May 2017 – Dec 2020)
  • Associate Professor – Northeastern University (May 2015 – Apr 2017)
  • Research Scholar – University of Maryland, College Park (Sept 2013 – Sept 2014)
  • Visiting Researcher – Tsinghua University, Beijing (Aug 2012 – Sept 2012; Sept 2010 – Jun 2011)

Google Scholar Metrics šŸ“Š

  • Citations: 3025
  • H-index: 29

Publication Top Notes:

  1. Design and Application of Programmable Analog Circuit for Solving Lyapunov Matrix Equation Based on Memristors
    • Journal: IEEE Transactions on Industrial Electronics
    • Year: 2024
  1. Design of Artificial Neurons of Memristive Neuromorphic Networks Based on Biological Neural Dynamics and Structures
    • Journal: IEEE Transactions on Circuits and Systems I: Regular Papers
    • Year: 2024
  2. FTOP: An Efficient Flow Table Overflow Preventing System for Switches in SDN
    • Journal: IEEE Transactions on Network Science and Engineering
    • Year: 2024
  3. Quantization Backdoors to Deep Learning Commercial Frameworks
    • Journal: IEEE Transactions on Dependable and Secure Computing
    • Year: 2024
  4. Timing Side-channel Attacks and Countermeasures in CPU Microarchitectures
    • Journal: ACM Computing Surveys
    • Year: 2024

 

 

 

 

 

Prof. Zaid Abduljabbar | Network Security Award | Best Researcher Award

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Prof. Zaid Abduljabbar | Network Security Award | Best Researcher Award

Prof. Zaid Abduljabbar, University of Basrah, Iraq

Prof. Zaid Abduljabbar is a distinguished researcher in the field of computer science, renowned for his groundbreaking work in privacy-preserving technologies and secure data sharing. With a solid educational background including a Ph.D. from Huazhong University of Science & Technology, and extensive research experience showcased through presentations at prestigious IEEE and ACM conferences, he continues to push the boundaries of knowledge. His contributions to SCI Journals like “Journal of Applied Sciences” and “Security and Communication Networks” have garnered widespread recognition, including the prestigious Best Paper Award at the 11th International Conference on Green, Pervasive and Cloud Computing (GPCā€™16) for his paper “Towards Secure Private Image Matching”.

šŸŒ Professional Profile:

Google Scholar

Education:

  • Bachelor of Science in Computer Science, University of Basrah, College of Science, Iraq (1997-09 to 2001-07)
  • Master of Science in Computer Science/Artificial Intelligence, University of Basrah, College of Science, Iraq (2004-09 to 2006-07)
  • Ph.D. in Computer applied technology, Huazhong University of Science & Technology, School of Computer Science and Technology, China (2014-02 to 2017-01)

Research Experience:

  • Presented papers at various conferences including IEEE and ACM conferences, covering topics such as privacy-preserving image retrieval, secure data sharing, and parallel pipeline rendering.
  • Published papers in SCI Journals like “Journal of Applied Sciences” and “Security and Communication Networks”, covering topics such as private image matching, encrypted image retrieval, and secure web browsing.
  • Received the best paper award at the 11th International Conference on Green, Pervasive and Cloud Computing (GPCā€™16) for the paper titled “Towards Secure Private Image Matching”.

Awards:

  • Best Paper Award at the 11th International Conference on Green, Pervasive and Cloud Computing (GPCā€™16) for the paper “Towards Secure Private Image Matching”.

Publication Top Notes:

  1. Title: Provably secure and fast color image encryption algorithm based on s-boxes and hyperchaotic map
    • Citations: 69
    • Year: 2022
  2. Title: An effective image retrieval based on optimized genetic algorithm utilized a novel SVM-based convolutional neural network classifier
    • Citations: 68
    • Year: 2019
  3. Title: Millets and millet technology
    • Citations: 38
    • Year: 2021
  4. Title: Audio steganography with enhanced LSB method for securing encrypted text with bit cycling
    • Citations: 34
    • Year: 2022
  5. Title: LEACH-T: LEACH clustering protocol based on three layers
    • Citations: 33
    • Year: 2016

 

 

 

 

Dr. Negalign Wake Hundera | Network Security and Cryptography | Best Researcher Award

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Dr. Negalign Wake Hundera | Network Security and Cryptography | Best Researcher Award

Dr. Negalign Wake Hundera, Zhejiang Normal University, China

Dr. Negalign Wake Hundera is an accomplished academician and researcher with expertise in network security, cryptography, and cloud computing. Holding a Ph.D. in Software Engineering from the University of Electronic Science and Technology of China, and prior degrees from esteemed institutions in both China and Ethiopia, he has a strong foundation in academia. Currently serving as a Postdoctoral Research Fellow at Zhejiang Normal University, his contributions extend beyond research to mentoring students and securing funding for projects. With a passion for exploring the intersection of technology and real-world applications, he seeks to leverage his skills in innovative environments. Outside academia, he enjoys reading, cooking, and sports like football and table tennis. šŸŒšŸ”’šŸ–„ļø

Professional Profile:

Google Scholar

Orcid

šŸŽ“ Education:

Negalign holds a Ph.D. in Software Engineering from the University of Electronic Science and Technology of China, along with an M.Sc. in Computer Science and Technology from the same institution. He earned his Bachelor’s degree in Information Technology from Jimma University, Ethiopia. His research interests span various areas including network security, public key cryptography, IoT, cloud computing, and deep learning.

šŸ’¼ Employment History:

Currently serving as a Postdoctoral Research Fellow at Zhejiang Normal University, Negalign has been actively engaged in research and academic activities. Prior to this, he worked as an Assistance Professor for Computer Science at Wolkite University, Ethiopia, and as a Lecturer for Computer Science Department at the same university. He also served as an Information Communication and Network Infrastructure Team Leader at Wolkite University.

šŸ”§ Skills:

Negalign possesses expertise in academic writing, teaching, programming languages such as Python, C, and Java, network administration and designing, LANs/WANs, and Internet/Intranet management. He is proficient in troubleshooting network connectivity issues and is well-versed in various protocols and security measures.

šŸ“š Publications:

Negalign has numerous publications in esteemed journals and conferences, covering topics like network security, cloud computing, IoT, and cryptography. His research contributions have been recognized in various academic circles.

šŸ† Awards & Certifications:

He has received several academic achievement certificates and awards from the University of Electronic Science and Technology of China. Additionally, he holds certifications in Cisco instruction, maintenance and networking training, and SPSS.

Publication Top Notes:

  1. Title: Permission-based separation of duty in dynamic role-based access control model
    • Journal: Symmetry
    • Year: 2019
    • Citations: 24
  2. Title: A Secure and Efficient Identity-Based Proxy Signcryption in Cloud Data Sharing
    • Journal: KSII Transactions on Internet and Information Systems (TIIS)
    • Year: 2020
    • Citations: 18
  3. Title: A hybrid cnn-lstm model for virtual machine workload forecasting in cloud data center
    • Conference: 2021 18th International Computer Conference on Wavelet Active Media
    • Year: 2021
    • Citations: 11
  4. Title: The Internet of vehicles and smart cities
    • Journal: Annals of Telecommunications
    • Year: 2021
    • Citations: 10
  5. Title: DNACDS: Cloud IoE big data security and accessing scheme based on DNA cryptography
    • Journal: Frontiers of Computer Science
    • Year: 2024

 

 

 

 

 

Dr. Yongzhi Wang | Information Security | Best Researcher Award

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Dr. Yongzhi Wang | Information Security | Best Researcher Award

Dr. Yongzhi Wang, Texas A&M University-Corpus Christi,Ā  United States

Dr. Yongzhi Wang is an Assistant Professor at Texas A&M University at Corpus Christi, bringing a wealth of experience from academia and industry. With prior roles at Park University in Missouri and Xidian University in China, as well as a stint as a Staff Software Engineer at IBM, he possesses a comprehensive understanding of both theoretical and practical aspects of computer science. Dr. Wang holds a Ph.D. in Computer Science from Florida International University, focusing on secure outsourced computing frameworks in cloud environments. His academic journey includes Master’s degrees from both Florida International University and Xidian University, along with a Bachelor’s degree from Xidian University. Recognized for his scholarly contributions, Dr. Wang has received accolades such as the Trending Article recognition from IEEE Transactions on Computers and the Distinguished Faculty Scholar Award from Park University. He was also honored with the Best Paper Award at the 2017 International Conference on Networking and Network Applications.

šŸŒ Professional Profile:

Orcid

Google Scholar

šŸŽ“ Education:

Dr. Wang earned his Doctor of Philosophy in Computer Science from Florida International University, where his dissertation focused on Constructing Secure Outsourced Computing Frameworks in the Cloud Environment. He also holds Master’s degrees in Computer Science from Florida International University and Xidian University, as well as a Bachelor’s degree in Computer Science from Xidian University.

šŸš€ Professional Experience:

Yongzhi Wang is currently serving as an Assistant Professor at Texas A&M University at Corpus Christi. Previously, he held positions as an Associate Professor and Assistant Professor at Park University in Missouri, and as an Assistant Professor at Xidian University in China. He also gained valuable industry experience as a Staff Software Engineer at IBM in China.

šŸ… Awards:

Yongzhi Wang has received several prestigious awards, including the Trending Article recognition from IEEE Transactions on Computers and the Distinguished Faculty Scholar Award from Park University. He was also honored with the Best Paper Award at the 2017 International Conference on Networking and Network Applications.

Publication Top Notes:

 

 

 

 

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