Dr. Samah Alhazmi | Security Awards | Best Researcher Award

Published on by Global Network Awards

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.

🌍 Professional Profile:

Google Scholar

Suitability for the Best Researcher Award

  1. Research Excellence: Dr. Alhazmi’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.

🎓 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.

🏛️ 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.

🔍 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.

🏆 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.

📚 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

Published on by Global Network Awards

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. 🎓 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.” 🏅 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. 🔬 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 🎓

  • 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 🏅

  • World’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 🔬

  • 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 🏫

  • 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 📊

  • 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