Ms. Qiping Wei | Security Analysis | Women Researcher Award

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Ms. Qiping Wei | Security Analysis | Women Researcher Award

Ms. Qiping Wei, University of Texas at Arlington, United States

Ms. Wei, a Ph.D. graduate in Computer Science with a focus on testing and security analysis of Solidity smart contracts, has demonstrated remarkable dedication to advancing blockchain technology. Her perseverance, highlighted by the extensive revision process of her first journal paper published in 2024, underscores her commitment to high-quality research. Leading innovative projects that integrate reinforcement learning and large language models to enhance Solidity smart contract security, Ms. Wei is at the forefront of blockchain technology and AI applications. Her impactful work and leadership in the field reflect her significant contributions and align with the values of the Research for Women Researcher Award.

Professional Profile:

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Suitability for the Award

Ms. Qiping Wei is a highly suitable candidate for the Research for Women Researcher Award. Her specialization in the testing and security analysis of Solidity smart contracts is timely and critical, given the growing importance of blockchain technology. Her successful publication record, leadership in innovative research projects, and contributions to global technology make her a standout researcher in her field.

Academic Background and Achievements:

Ms. Wei has an impressive academic trajectory, having completed her Ph.D. in Computer Science with a specialization in testing and security analysis of Solidity smart contracts. Her educational journey, marked by persistence and dedication, reflects her commitment to advancing in a challenging field.

Her determination is evident from the multiple rounds of revision her first paper underwent before its eventual acceptance, highlighting her resilience and dedication to high-quality research. This perseverance culminated in the publication of her first journal paper in 2024, showcasing her contributions to the field.

Research Contributions:

Ms. Weiā€™s research focuses on the critical area of blockchain technology, specifically the testing and security analysis of Solidity smart contracts. This work is increasingly important as blockchain systems become more integral to global networks.

She is leading two innovative projects that utilize reinforcement learning and large language models (LLMs) to improve the symbolic execution of Solidity smart contracts. These projects aim to enhance the security and reliability of blockchain systems, demonstrating her leadership in advancing technology at the intersection of AI and blockchain.

Impact and Innovation:

Her work has made a tangible impact, as evidenced by the significant interest in her publications. Her paper on the application of LLMs in engineering has garnered substantial attention, indicating the relevance and significance of her research.

By addressing security challenges in blockchain technology and exploring advanced AI techniques, Ms. Wei is pushing the boundaries of how these technologies can be applied to improve digital infrastructure. This aligns with the values of the Research for Women Researcher Award, which celebrates innovation and excellence in technology.

Professional Experience and Leadership:

Ms. Weiā€™s involvement in part-time academic roles during her undergraduate years and her subsequent research efforts reflect her deep commitment to the field. Her leadership in managing research projects and contributing to advancements in blockchain security further underscores her suitability for this award.

Publication Top Note:

  • Title: Mining New Scientific Research Ideas from Quantum Computers and Quantum Communications
    • Year: 2019
    • Cited by: 6
  • Title: SmartExecutor: Coverage-Driven Symbolic Execution Guided by a Function Dependency Graph
    • Year: 2023
    • Cited by: 2
  • Title: MagicMirror: Towards High-Coverage Fuzzing of Smart Contracts
    • Year: 2023
  • Title: Sligpt: A Large Language Model-Based Approach for Data Dependency Analysis on Solidity Smart Contracts
    • Year: 2024
  • Title: SmartExecutor: Coverage-Driven Symbolic Execution Guided via State Prioritization and Function Selection
    • Year: 2024

 

 

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. Muhammad Abuturab | cryptosystem Awards | Best Researcher Award

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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:

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šŸŽ“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 LABISENā€“YncrĆ©a Ouest (YncrĆ©a-Ouest Research Laboratory), ISEN Brest, France.

šŸ¢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.

šŸ†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

 

 

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:

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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

 

 

 

 

 

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:

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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:

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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: