Mr. Stephen Afrifa | Botnet Awards | Best Researcher Award-3213

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Mr. Stephen Afrifa | Botnet Awards | Best Researcher Award

Mr. Stephen Afrifa, Tianjin University, China

Mr. Stephen Afrifa is a dedicated lecturer in the Department of Information Technology and Decision Sciences at the University of Energy and Natural Resources (UENR), with a strong background in IT project management, data science, AI, and machine learning. He holds a Master of Science in Engineering from Tianjin University, China, where his research focused on using machine learning models to assess climate change impacts. With expertise in a wide range of programming languages and statistical tools, Stephen has developed software solutions and led research initiatives in both academic and professional settings. His leadership in AMANPENE Foundation and UENR reflects his commitment to using technology for societal good, particularly in climate modeling and poverty alleviation.

Professional Profile:

Google Scholar

Orcid

Scopus

Suitability for the Award:

Mr. Stephen Afrifa is a suitable candidate for the Best Researcher Award due to his strong academic background, impactful research publications, interdisciplinary collaborations, and leadership in addressing significant societal challenges through technology and AI. His dedication to teaching, research, and community service further bolsters his eligibility, making him a distinguished candidate deserving of this award.

Educational Background

Stephen holds a Master of Science in Engineering (Information and Communication Engineering) from Tianjin University, where he focused on machine learning models related to climate change. His foundational education includes a WASSCE Certificate from Kumasi High School.

Professional Overview

Mr. Stephen Afrifa is a proactive and versatile individual with a strong commitment to enhancing user experiences through technology. He excels in both quantitative and qualitative projects and thrives in international, multicultural environments.

Work Experience

Currently a Lecturer in the Department of Information Technology and Decision Sciences at the University of Energy and Natural Resources (UENR), Stephen supervises and guides students at various academic levels. He also serves as a part-time Software Application Developer at CY Technologies, leading software development and research projects.

Skills and Expertise

Well-versed in programming languages and statistical tools like Python, R, C/C++, and more, Stephen has a robust background in IT project management, network security, and data science. His research interests include IoT, cybersecurity, and cloud computing, emphasizing sustainable practices.

Honors and Leadership

Recognized as the Best Graduating Student in Computer Science at UENR and a recipient of the Absa Tertiary Scholarship, Stephen also holds leadership roles, including being an Academic Board Member at Eterno Press and a Lead Research Facilitator at UENR.

Publication Top Notes:

  • Title: Mathematical and Machine Learning Models for Groundwater Level Changes: A Systematic Review and Bibliographic Analysis
    • Year: 2022
    • Cited by: 44
  • Title: Detection of Anemia Using Conjunctiva Images: A Smartphone Application Approach
    • Year: 2023
    • Cited by: 23
  • Title: Ensemble Machine Learning Techniques for Accurate and Efficient Detection of Botnet Attacks in Connected Computers
    • Year: 2023
    • Cited by: 20
  • Title: Cyberbullying Detection on Twitter Using Natural Language Processing and Machine Learning Techniques
    • Year: 2022
    • Cited by: 16
  • Title: VAR, ARIMAX and ARIMA Models for Nowcasting Unemployment Rate in Ghana Using Google Trends
    • Year: 2023
    • Cited by: 15

 

 

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. syed Hasan | Cloud Security | Best Scholar Award

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Prof. syed Hasan | Cloud Security | Best Scholar Award

Prof. syed Hasan, King Abdulaziz Unversity, Saudi Arabia

Prof. Syed Hasan is a distinguished academic and researcher currently serving as a Professor at King Abdulaziz University, Saudi Arabia. He holds a Ph.D. in Computer Science from Jamia Delhi, complemented by an M.Phil. in Computer Science and a Master’s in Statistics from Aligarh University. Prof. Hasan’s expertise spans Design & Analysis of Algorithms, E-Security, E-Learning, and Cloud Computing. With a career that began at Aligarh University, where he rose to the position of Professor & Head of Department, he later served as Professor & Head of IT Department at University of Technology and Applied Sciences in Oman. Prof. Hasan has supervised numerous PhD and Master’s students, authored 74 research papers, and played pivotal roles in academic leadership and research groups throughout his esteemed career.

šŸŒĀ Professional Profile:

Google Scholar

šŸŽ“ Academic Qualifications:

Ph.D. in Computer Science from Jamia Delhi (1994), M.Phil. (PGDCS) in Computer Science from Aligarh University (AMU, 1979), and Master’s in Statistics (1978) and Baccalaureate (1976) from Aligarh University, all with First Class distinctions.

šŸ” Areas of Expertise:

Specializes in Design & Analysis of Algorithms, E-Security, E-Learning, and Cloud Computing.

šŸ‘Øā€šŸ« Experience:

Began as a Lecturer at Aligarh University (1979-1994), progressing to Assistant Professor (1994-1995), Associate Professor (1995-1996), and Professor & Head of Department (1996-1997) at the same institution. Later, served as Professor & Head of IT Department at University of Technology and Applied Sciences (formerly Musanna College of Technology) in Oman (1997-2010), and currently as a Professor at King Abdulaziz University, Saudi Arabia (2010 ā€“ present), focusing on teaching, research, and academic administration.

šŸ† Scholarly Achievements:

Actively supervises PhD and Master’s theses, having supervised over 30 Master’s dissertations. Published 74 research papers/articles and is a member of the Information Security Research Group at King Abdul-Aziz University. Founding Chairman of the Department of Computer Science at Aligarh Muslim University and Head of IT Department in Oman for 14 years.

Publication Top Notes:

 

 

Prof. Yi-Nan Xu | In-Vehicle Network Security | Best Researcher Award

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Prof. Yi-Nan Xu | In-Vehicle Network Security | Best Researcher Award

Prof. Yi-Nan Xu, College of Engineering/Yanbian University, China

Prof. Yi-Nan Xu is a distinguished professor in the Department of Electronics and Communication Engineering at the College of Engineering, Yanbian University, China šŸ“š. With a profound expertise in automotive electronic control and in-vehicle communication networks, he has made significant contributions to these fields, particularly in system-level chip design and automotive safety šŸŒŸ. Professor Xu’s research prowess is evidenced by his authorship of over 50 SCI/EI papers, focusing on fault-tolerant control, communication networks, and intelligent transportation systems šŸ”¬. He has also led prestigious national and provincial projects, advancing fault tolerance mechanisms and security protocols in automotive systems, thus shaping the landscape of automotive technology research and development in China.

šŸŒ Professional Profile:

Orcid

Scopus

šŸ“š Education and Experience

Yi-Nan Xu is a distinguished professor in the Department of Electronics and Communication Engineering at the College of Engineering, Yanbian University. With a robust background in automotive electronic control and in-vehicle communication networks, he has dedicated his career to advancing these fields. His expertise extends to system-level chip design, contributing significantly to the intersection of technology and automotive safety.

šŸŒŸ Academic Achievements

Professor Xu has authored over 50 SCI/EI papers, focusing on fault-tolerant control, communication networks, and intelligent transportation systems. His research has garnered acclaim and has been pivotal in shaping the understanding and development of automotive systems.

šŸ”¬ Research Leadership

He has led multiple prestigious projects, including three national natural science fund projects on fault tolerance mechanisms in automotive systems and security protocols for on-board networks. His contributions also extend to the “Twelfth Five Year Plan” science and technology research project of Jilin Provincial Department of Education, where he focused on the design of on-board communication network systems.

Publication Top Notes:

  • Arduino-based Omnidirectional Mobile Intelligent Vehicle Control System
    • Conference: Proceedings – 2023 3rd International Conference on Robotics, Automation and Intelligent Control, ICRAIC 2023
    • Year: 2023
  • Analysis on Network Security of Intelligent Connected In-vehicle Bus
    • Conference: Proceedings of SPIE – The International Society for Optical Engineering
    • Year: 2023
  • Intelligent Connected Vehicle CAN-FD Bus Network Security Protocol
    • Conference: Proceedings – 2023 International Conference on Mobile Internet, Cloud Computing and Information Security, MICCIS 2023
    • Year: 2023
  • Dynamic Rearrangement Compression Algorithm for Intelligent Connected Vehicles
    • Journal: IEEE Transactions on Vehicular Technology
    • Year: 2022
  • Research of CAN Bus Information Anomaly Detection Based on Convolutional Neural Network
    • Journal: International Journal of Computer Theory and Engineering
    • Year: 2021

 

 

Ms. Kritika | Cybersecurity Awards | Best Researcher Award

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Ms. Kritika | Cybersecurity Awards | Best Researcher Award

Ms. Kritika, India

šŸŽ“ Ms. Kritika, a dynamic Computer Science postgraduate šŸ–„ļø, holds both a Master’s and Bachelor’s degree from GGSIP University in New Delhi, India šŸ‡®šŸ‡³. As an Independent Researcher based in Delhi, her expertise in cybersecurity is evident through her extensive contributions, including peer-reviewed articles and book chapters šŸ“š. Kritika’s research interests span interdisciplinary cybersecurity domains, code smell detection in software šŸ§¾, and vulnerability analysis and mitigation strategies šŸ›”ļø. Her ambition and dedication drive her to uncover new insights and best practices in the ever-evolving landscape of cybersecurity.

šŸŒ Professional Profile:

Orcid

šŸŽ“ Educational Background

  • Master of Technology in Computer Science and Engineering (2022) – GGSIP University, New Delhi, India
  • Bachelor of Technology in Information Technology (2019) – GGSIP University, New Delhi, India

šŸ¢ Professional Experience

  • Independent Researcher – Delhi, India

šŸ“ Research Interests

  • Interdisciplinary cybersecurity domains
  • Code smell detection in software
  • Vulnerability analysis and mitigation strategies

Publication Top Notes:

1.Ā  Cyber Security and its cognitive ramifications on E-Governance
2.Ā  Correlating propensity between code smell and vulnerability in java applications
3.Ā  A Deep Dive into Code Smell and Vulnerability Using Machine Learning and Deep Learning Techniques
4.Ā  A review on harmonizing psychological factors into cyber space
5.Ā  Corollary of digital forensics in e governance

 

 

 

 

 

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. 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: